Hurst-Optimized Adaptive Channel [Kodexius]Hurst-Optimized Adaptive Channel (HOAC) is a regime-aware channel indicator that continuously adapts its centerline and volatility bands based on the market’s current behavior. Instead of using a single fixed channel model, HOAC evaluates whether price action is behaving more like a trend-following environment or a mean-reverting environment, then automatically selects the most suitable channel structure.
At the core of the engine is a robust Hurst Exponent estimation using R/S (Rescaled Range) analysis. The Hurst value is smoothed and compared against user-defined thresholds to classify the market regime. In trending regimes, the script emphasizes stability by favoring a slower, smoother channel when it proves more accurate over time. In mean-reversion regimes, it deliberately prioritizes a faster model to react sooner to reversion opportunities, similar in spirit to how traders use Bollinger-style behavior.
The result is a clean, professional adaptive channel with inner and outer bands, dynamic gradient fills, and an optional mean-reversion signal layer. A minimalist dashboard summarizes the detected regime, the current Hurst reading, and which internal model is currently preferred.
🔹 Features
🔸 Robust Regime Detection via Hurst Exponent (R/S Analysis)
HOAC uses a robust Hurst Exponent estimate derived from log returns and Rescaled Range analysis. The Hurst value acts as a behavioral filter:
- H > Trend Start threshold suggests trend persistence and directional continuation.
- H < Mean Reversion threshold suggests anti-persistence and a higher likelihood of reverting toward a central value.
Values between thresholds are treated as Neutral, allowing the channel to remain adaptive without forcing a hard bias.
This regime framework is designed to make the channel selection context-aware rather than purely reactive to recent volatility.
🔸 Dual Channel Engine (Fast vs Slow Models)
Instead of relying on one fixed channel, HOAC computes two independent channel candidates:
Fast model: shorter WMA basis and standard deviation window, intended to respond quickly and fit more reactive environments.
Slow model: longer WMA basis and standard deviation window, intended to reduce noise and better represent sustained directional flow.
Each model produces:
- A midline (basis)
- Outer bands (wider deviation)
- Inner bands (tighter deviation)
This structure gives you a clear core zone and an outer envelope that better represents volatility expansion.
🔸 Rolling Optimization Memory (Model Selection by Error)
HOAC includes an internal optimization layer that continuously measures how well each model fits current price action. On every bar, each model’s absolute deviation from the basis is recorded into a rolling memory window. The script then compares total accumulated error between fast and slow models and prefers the one with lower recent error.
This approach does not attempt curve fitting on multiple parameters. It focuses on a simple, interpretable metric: “Which model has tracked price more accurately over the last X bars?”
Additionally:
If the regime is Mean Reversion, the script explicitly prioritizes the fast model, ensuring responsiveness when reversals matter most.
🔸 Optional Output Smoothing (User-Selectable)
The final selected channel can be smoothed using your choice of:
- SMA
- EMA
- HMA
- RMA
This affects the plotted midline and all band outputs, allowing you to tune visual stability and responsiveness without changing the underlying decision engine.
🔸 Premium Visualization Layer (Inner Core + Outer Fade)
HOAC uses a layered band design:
- Inner bands define the core equilibrium zone around the midline.
- Outer bands define an extended volatility envelope for extremes.
Gradient fills and line styling help separate the core from the extremes while staying visually clean. The midline includes a subtle glow effect for clarity.
🔸 Adaptive Bar Tinting Strength (Regime Intensity)
Bar coloring dynamically adjusts transparency based on how far the Hurst value is from 0.5. When market behavior is more decisively trending or mean-reverting, the tint becomes more pronounced. When behavior is closer to random, the tint becomes more subtle.
🔸 Mean-Reversion Signal Layer
Mean-reversion signals are enabled when the environment is not classified as Trending:
- Buy when price crosses back above the lower outer band
- Sell when price crosses back below the upper outer band
This is intentionally a “return to channel” logic rather than a breakout logic, aligning signals with mean-reversion behavior and avoiding signals in strongly trending regimes by default.
🔸 Minimalist Dashboard (HUD)
A compact table displays:
- Current regime classification
- Smoothed Hurst value
- Which model is currently preferred (Fast or Slow)
- Trend flow direction (based on midline slope)
🔹 Calculations
1) Robust Hurst Exponent (R/S Analysis)
The script estimates Hurst using a Rescaled Range approach on log returns. It builds a returns array, computes mean, cumulative deviation range (R), standard deviation (S), then converts RS into a Hurst exponent.
calc_robust_hurst(int length) =>
float r = math.log(close / close )
float returns = array.new_float(length)
for i = 0 to length - 1
array.set(returns, i, r )
float mean = array.avg(returns)
float cumDev = 0.0
float maxCD = -1.0e10
float minCD = 1.0e10
float sumSqDiff = 0.0
for i = 0 to length - 1
float val = array.get(returns, i)
sumSqDiff += math.pow(val - mean, 2)
cumDev += (val - mean)
if cumDev > maxCD
maxCD := cumDev
if cumDev < minCD
minCD := cumDev
float R = maxCD - minCD
float S = math.sqrt(sumSqDiff / length)
float RS = (S == 0) ? 0.0 : (R / S)
float hurst = (RS > 0) ? (math.log10(RS) / math.log10(length)) : 0.5
hurst
This design avoids simplistic proxies and attempts to reflect persistence (trend tendency) vs anti-persistence (mean reversion tendency) from the underlying return structure.
2) Hurst Smoothing
Raw Hurst values can be noisy, so the script applies EMA smoothing before regime decisions.
float rawHurst = calc_robust_hurst(i_hurstLen)
float hVal = ta.ema(rawHurst, i_smoothHurst)
This stabilized hVal is the value used across regime classification, dynamic visuals, and the HUD display.
3) Regime Classification
The smoothed Hurst reading is compared to user thresholds to label the environment.
string regime = "NEUTRAL"
if hVal > i_trendZone
regime := "TRENDING"
else if hVal < i_chopZone
regime := "MEAN REV"
Higher Hurst implies more persistence, so the indicator treats it as a trend environment.
Lower Hurst implies more mean-reverting behavior, so the indicator enables MR logic and emphasizes faster adaptation.
4) Dual Channel Models (Fast and Slow)
HOAC computes two candidate channel structures in parallel. Each model is a WMA basis with volatility envelopes derived from standard deviation. Inner and outer bands are created using different multipliers.
Fast model (more reactive):
float fastBasis = ta.wma(close, 20)
float fastDev = ta.stdev(close, 20)
ChannelObj fastM = ChannelObj.new(fastBasis, fastBasis + fastDev * 2.0, fastBasis - fastDev * 2.0, fastBasis + fastDev * 1.0, fastBasis - fastDev * 1.0, math.abs(close - fastBasis))
Slow model (more stable):
float slowBasis = ta.wma(close, 50)
float slowDev = ta.stdev(close, 50)
ChannelObj slowM = ChannelObj.new(slowBasis, slowBasis + slowDev * 2.5, slowBasis - slowDev * 2.5, slowBasis + slowDev * 1.25, slowBasis - slowDev * 1.25, math.abs(close - slowBasis))
Both models store their structure in a ChannelObj type, including the instantaneous tracking error (abs(close - basis)).
5) Rolling Error Memory and Model Preference
To decide which model fits current conditions better, the script stores recent errors into rolling arrays and compares cumulative error totals.
var float errFast = array.new_float()
var float errSlow = array.new_float()
update_error(float errArr, float error, int maxLen) =>
errArr.unshift(error)
if errArr.size() > maxLen
errArr.pop()
Each bar updates both error histories and computes which model has lower recent accumulated error.
update_error(errFast, fastM.error, i_optLookback)
update_error(errSlow, slowM.error, i_optLookback)
bool preferFast = errFast.sum() < errSlow.sum()
This is an interpretable optimization approach: it does not attempt to brute-force parameters, it simply prefers the model that has tracked price more closely over the last i_optLookback bars.
6) Winner Selection Logic (Regime-Aware Hybrid)
The final model selection uses both regime and rolling error performance.
ChannelObj winner = regime == "MEAN REV" ? fastM : (preferFast ? fastM : slowM)
rawMid := winner.mid
rawUp := winner.upper
rawDn := winner.lower
rawUpInner := winner.upper_inner
rawDnInner := winner.lower_inner
In Mean Reversion, the script forces the fast model to ensure responsiveness.
Otherwise, it selects the lowest-error model between fast and slow.
7) Optional Output Smoothing
After the winner is selected, the script optionally smooths the final channel outputs using the chosen moving average type.
smooth(float src, string type, int len) =>
switch type
"SMA" => ta.sma(src, len)
"EMA" => ta.ema(src, len)
"HMA" => ta.hma(src, len)
"RMA" => ta.rma(src, len)
=> src
float finalMid = i_enableSmooth ? smooth(rawMid, i_smoothType, i_smoothLen) : rawMid
float finalUp = i_enableSmooth ? smooth(rawUp, i_smoothType, i_smoothLen) : rawUp
float finalDn = i_enableSmooth ? smooth(rawDn, i_smoothType, i_smoothLen) : rawDn
float finalUpInner = i_enableSmooth ? smooth(rawUpInner, i_smoothType, i_smoothLen) : rawUpInner
float finalDnInner = i_enableSmooth ? smooth(rawDnInner, i_smoothType, i_smoothLen) : rawDnInner
This preserves decision integrity since smoothing happens after model selection, not before.
8) Dynamic Visual Intensity From Hurst
Transparency is derived from the distance of hVal to 0.5, so stronger behavioral regimes appear with clearer tints.
int dynTrans = int(math.max(20, math.min(80, 100 - (math.abs(hVal - 0.5) * 200))))
Reversal
QMF- Market Structure & Signal Suite [BullByte]QUANTUM MOMENTUM FUSION - Market Structure and Signal Suite
OVERVIEW
Quantum Momentum Fusion is a comprehensive market analysis framework built around a multi-dimensional momentum oscillator. This indicator was designed to give traders a complete analytical workspace in a single tool, combining momentum measurement, market structure identification, trendline analysis, divergence detection, and multi-timeframe context into one unified system.
The core philosophy behind QMF is that successful trading decisions come from understanding multiple aspects of market behavior simultaneously, not from relying on any single indicator or signal. The oscillator serves as the analytical foundation, and every other component builds upon it to create a complete picture of current market conditions.
This description will walk through each component of the indicator, explaining what it measures, why that information matters, and how to interpret what you see on the chart. Whether you are an experienced trader familiar with oscillator analysis or newer to technical indicators, each section aims to make the concepts accessible and practical.
THE QUANTUM ENGINE: UNDERSTANDING THE CORE OSCILLATOR (why its original and not a mashup)
At the heart of this indicator is the Quantum Momentum Fusion oscillator, displayed in its own pane below the price chart. Unlike traditional oscillators that measure a single aspect of price behavior, the QMF oscillator synthesizes four distinct market dimensions into one unified reading.
WHAT IS AN OSCILLATOR
For those less familiar with the term, an oscillator is a technical indicator that fluctuates between defined boundaries, typically showing whether an asset is experiencing strong buying pressure, strong selling pressure, or neutral conditions. The QMF oscillator moves between 0 and 100, with 50 representing the neutral midpoint.
When the oscillator is high (above 70), it suggests the market has experienced significant upward momentum and may be approaching exhaustion. When low (below 30), it suggests the market has experienced significant downward momentum and may be due for a bounce. The space between these extremes represents normal market fluctuation.
THE FOUR DIMENSIONS
What makes the QMF oscillator different from standard momentum indicators is that it combines four separate measurements into its calculation. Each dimension captures a different aspect of market behavior:
VELOCITY DIMENSION
This measures how quickly momentum itself is changing. Think of it like acceleration in a car. Knowing the car is moving forward (direction) is useful, but knowing whether the driver is pressing the accelerator or the brake (acceleration) tells you what is likely to happen next. The velocity dimension calculates the rate of change of the rate of change, providing early warning when momentum is about to shift direction. In practical terms, this can show momentum weakening before price actually reverses.
Why it matters: Price can continue in one direction for a while even after the underlying momentum starts to fade. By measuring acceleration, you can identify potential turning points earlier than with simple momentum indicators.
How it appears: This dimension is calculated internally and combined with the others. You do not see it separately, but its effect shows in the oscillator responding earlier to momentum shifts.
VOLUME DIMENSION
This measures price movement weighted by trading volume. A price move accompanied by high volume has different significance than the same price move on low volume. High volume suggests conviction and participation from larger traders. Low volume suggests the move may lack follow-through.
The volume dimension multiplies price change by a volume ratio (current volume compared to average volume), giving greater weight to moves that have volume confirmation behind them.
Why it matters: Volume often precedes price. Strong volume on a move suggests institutional participation and increases the probability that the move will continue. Weak volume on a move suggests it may be easily reversed.
How it appears: Moves with strong volume conviction will push the oscillator more definitively, while low-volume moves will have muted effect on the reading.
VOLATILITY DIMENSION
This normalizes price movement against the current volatility environment. Markets go through periods of high volatility (large price swings) and low volatility (small price swings). A 1% move during a low volatility period is more significant than a 1% move during a high volatility period.
The volatility dimension divides price change by Average True Range (ATR), which measures typical price range. This tells you whether current movement is significant relative to what is normal for this market right now.
Why it matters: Without volatility normalization, the oscillator would react the same way to all price moves regardless of context. By adjusting for volatility, the oscillator identifies moves that are genuinely significant versus normal noise within the current regime.
How it appears: During quiet markets, smaller price moves can still register as significant if they exceed normal volatility. During volatile markets, the oscillator will not overreact to moves that are within expected range.
SESSION DIMENSION
This tracks where price is positioned relative to the session Volume Weighted Average Price (VWAP). VWAP represents the average price at which trading has occurred during the session, weighted by volume. Institutional traders often use VWAP as a benchmark for fair value.
When price is consistently above VWAP, it suggests buyers are willing to pay above average prices, indicating accumulation. When price is consistently below VWAP, it suggests sellers are accepting below average prices, indicating distribution.
Why it matters: VWAP positioning provides insight into whether institutional traders are likely accumulating or distributing. Price repeatedly returning to and bouncing from VWAP can indicate support, while price repeatedly failing at VWAP can indicate resistance.
How it appears: The session dimension contributes bullish readings when price maintains above VWAP and bearish readings when price maintains below VWAP.
ADAPTIVE WEIGHTING
The four dimensions are combined using configurable weights, and the system can operate in Adaptive Mode. When Adaptive Mode is enabled, the indicator automatically adjusts its sensitivity based on the current volatility regime. During high volatility periods, sensitivity increases to capture larger moves. During low volatility periods, sensitivity decreases to filter out noise.
This means the oscillator adapts to changing market conditions without requiring manual adjustment.
READING THE OSCILLATOR: DISPLAY MODES AND ZONES
The QMF oscillator can be displayed in four different visual formats. Each shows the same underlying data but presents it differently based on trader preference.
ENERGY CANDLES
This mode displays the oscillator as candlestick-style candles. Just as price candles show open, high, low, and close for price, energy candles show these values for the QMF oscillator.
Green candles indicate the oscillator closed higher than it opened (bullish momentum). Red candles indicate the oscillator closed lower than it opened (bearish momentum). The body size shows how much the oscillator moved during the period. Larger bodies indicate stronger momentum conviction.
This format is useful for traders who are comfortable reading candlestick patterns and want to apply similar visual analysis to the oscillator.
QMF LINE
This mode displays the oscillator as a traditional line chart with a signal line overlay. The main QMF line shows current momentum. The signal line is a smoothed average of the QMF that helps identify direction changes.
When the QMF line is above the signal line, momentum is bullish. When below, momentum is bearish. Crossovers between the two lines can indicate momentum shifts.
This format is familiar to traders who use indicators like MACD and prefer clean line-based visualization.
IMPULSE BARS
This mode displays the oscillator as a histogram centered on the 50 midline. Bars above 50 indicate bullish momentum, bars below 50 indicate bearish momentum. Bar height shows momentum strength.
The color intensity changes based on momentum direction. Bars that are increasing in the bullish direction show brighter color. Bars that are decreasing show muted color. This makes it easy to see momentum acceleration and deceleration at a glance.
HEIKIN FLOW
This mode applies Heikin-Ashi smoothing to the energy candles. Heikin-Ashi is a Japanese technique that averages price data to create smoother trends with fewer reversals.
The result is cleaner visual trends that are easier to follow, though with slightly more lag than standard energy candles. This format is useful for identifying sustained momentum moves without getting distracted by minor fluctuations.
OSCILLATOR ZONES
Regardless of display mode, the oscillator pane includes horizontal reference lines that define important zones:
Midline at 50: The neutral point. When the oscillator is above 50, overall momentum is bullish. When below 50, overall momentum is bearish.
Overbought level at 70: When the oscillator crosses above this level, the market is showing strong bullish momentum. However, this also means prices have risen significantly and bearish reversal probability increases the longer the oscillator stays elevated.
Oversold level at 30: When the oscillator crosses below this level, the market is showing strong bearish momentum. However, this also means prices have fallen significantly and bullish reversal probability increases.
Extreme overbought at 85: Maximum bullish exhaustion. At this level, almost all short-term buying pressure has been expended. Reversal probability is high.
Extreme oversold at 15: Maximum bearish exhaustion. At this level, almost all short-term selling pressure has been expended. Reversal probability is high.
Understanding these zones helps you assess the current market condition before looking at any other indicator components.
MARKET STRUCTURE: DYNAMIC SUPPORT AND RESISTANCE
The second major component of the indicator is market structure analysis through dynamic support and resistance levels. Unlike price-based support and resistance, these levels are calculated directly on the oscillator.
WHAT ARE OSCILLATOR-BASED S/R LEVELS
When the QMF oscillator reaches a high point and then reverses lower, that high point becomes a resistance level on the oscillator. When the oscillator reaches a low point and then reverses higher, that low point becomes a support level.
These levels represent momentum thresholds that the market has previously found difficult to exceed. They answer the question: At what momentum reading has the oscillator historically reversed?
WHY THIS MATTERS
Oscillator support and resistance provides different information than price support and resistance. Price S/R tells you where buyers and sellers have previously entered the market. Oscillator S/R tells you what level of momentum the market has been able to sustain.
If the oscillator approaches its resistance level, it suggests momentum is reaching the upper bounds of what has been achievable recently. Either momentum will break through (indicating unusually strong conditions) or it will reverse (indicating normal mean reversion).
Similarly, if the oscillator approaches support, it suggests momentum is reaching exhaustion levels that have previously triggered bounces.
HOW IT APPEARS ON THE CHART
Resistance is displayed as a horizontal red line with a RES label on the oscillator pane. Support is displayed as a horizontal cyan line with a SUP label. These lines update dynamically as new pivots form.
When the oscillator breaks through these levels, markers appear:
R with up arrow: Resistance level broken, indicating unusually strong bullish momentum
S with down arrow: Support level broken, indicating unusually strong bearish momentum
R with checkmark: Resistance held, price rejected at this level
S with checkmark: Support held, price bounced from this level
The dashboard also shows current S/R status: whether the oscillator recently broke resistance, broke support, is currently at resistance, is currently at support, or is in clear space between levels.
AUTOMATED TRENDLINES: MOMENTUM TREND STRUCTURE
The third major component is automated trendline detection on the oscillator. This identifies trending behavior in momentum itself, separate from price trends.
WHAT ARE OSCILLATOR TRENDLINES
Just as you can draw trendlines on a price chart connecting swing lows (uptrend) or swing highs (downtrend), the indicator draws trendlines on the oscillator connecting pivot points.
Support trendlines connect oscillator pivot lows and project forward with a flat or rising slope. These show upward trending momentum where each pullback finds support at a higher level.
Resistance trendlines connect oscillator pivot highs and project forward with a flat or falling slope. These show downward trending momentum where each rally faces resistance at a lower level.
WHY THIS MATTERS
Price trends and momentum trends do not always align. Price can continue making higher highs while momentum makes lower highs, a condition called bearish divergence. Momentum trendlines help visualize this behavior.
When momentum is making higher lows (rising support trendline), it suggests underlying strength even if price is consolidating. When momentum is making lower highs (falling resistance trendline), it suggests underlying weakness even if price is holding.
Breaks of these trendlines often precede price moves. If a falling momentum resistance trendline breaks upward, it suggests bearish pressure is releasing and bullish momentum may follow. If a rising momentum support trendline breaks downward, it suggests bullish pressure is failing and bearish momentum may follow.
HOW IT APPEARS ON THE CHART
Support trendlines appear in blue/cyan, resistance trendlines appear in pink/magenta. Lines extend forward from the most recent pivot point to show projected levels.
Small circle markers can optionally appear at each pivot point used to construct the trendlines, helping you verify the anchor points.
When the oscillator breaks through a trendline, markers appear:
TL with up arrow: Resistance trendline broken upward (bullish breakout)
TL with down arrow: Support trendline broken downward (bearish breakdown)
Trendline strength is calculated based on three factors: how many pivot points validate the line, how recently it formed, and the angle of the slope. Stronger trendlines have more touches, formed recently, and have moderate slopes. You can filter trendlines by strength to show only the most significant ones.
Optional trendline zones can display a shaded area around each trendline rather than just a single line, showing a zone of influence rather than a precise level.
DIVERGENCE: WHEN PRICE AND MOMENTUM DISAGREE
The fourth major component is divergence detection, which identifies discrepancies between price action and oscillator behavior.
WHAT IS DIVERGENCE
Divergence occurs when price makes a new high or low, but the oscillator fails to confirm it. This disagreement between price and momentum often precedes reversals.
There are four types of divergence:
REGULAR BULLISH DIVERGENCE
Price makes a lower low (new low point below the previous low), but the oscillator makes a higher low (its low point is above its previous low). This suggests that despite price going lower, selling momentum is actually weakening. The implication is that sellers are losing conviction and a bounce or reversal may be approaching.
Visual example: Imagine price drops from 100 to 95, bounces to 97, then drops again to 93. At the same time, the oscillator drops to 25, bounces to 35, then drops only to 30. Price made a lower low (93 vs 95) but the oscillator made a higher low (30 vs 25). This is regular bullish divergence.
REGULAR BEARISH DIVERGENCE
Price makes a higher high (new high point above the previous high), but the oscillator makes a lower high (its high point is below its previous high). This suggests that despite price going higher, buying momentum is actually weakening. The implication is that buyers are losing conviction and a pullback or reversal may be approaching.
HIDDEN BULLISH DIVERGENCE
Price makes a higher low (its low point is above its previous low), but the oscillator makes a lower low (new low below its previous low). This occurs during uptrends and suggests the trend will continue. Price is holding higher but momentum briefly dipped further, indicating a temporary pullback within a larger uptrend.
HIDDEN BEARISH DIVERGENCE
Price makes a lower high (its high point is below its previous high), but the oscillator makes a higher high (new high above its previous high). This occurs during downtrends and suggests the trend will continue. Price is staying lower but momentum briefly spiked higher, indicating a temporary bounce within a larger downtrend.
Regular divergence suggests reversal. Hidden divergence suggests continuation.
HOW IT APPEARS ON THE CHART
When divergence is confirmed, labels appear on the oscillator:
BULL DIV: Regular bullish divergence confirmed
BEAR DIV: Regular bearish divergence confirmed
H-BULL: Hidden bullish divergence confirmed
H-BEAR: Hidden bearish divergence confirmed
Dotted lines connect the pivot points on the oscillator to show the divergence pattern. Regular divergence uses solid colored lines, hidden divergence uses dashed lines.
The dashboard shows divergence status in real-time:
CHECKING BULL: A potential bullish divergence pattern is forming but not yet confirmed
CHECKING BEAR: A potential bearish divergence pattern is forming but not yet confirmed
BULL CONFIRMED: Bullish divergence has been validated
BEAR CONFIRMED: Bearish divergence has been validated
NONE: No divergence currently active
Divergence strength is calculated from the magnitude of the oscillator discrepancy. Only divergences meeting the minimum strength threshold are displayed to filter out minor, less significant patterns.
FLOW RIBBONS: VISUALIZING MOMENTUM ALIGNMENT
The fifth major component is the Flow Ribbon system, which displays multiple moving averages of the QMF oscillator to visualize momentum trend and alignment.
WHAT ARE FLOW RIBBONS
Flow ribbons consist of three Exponential Moving Averages (EMAs) applied to the QMF oscillator values. Think of them as smoothed versions of the oscillator at different speeds:
Fast Ribbon : Responds quickly to momentum changes, showing recent momentum direction
Medium Ribbon: Balances responsiveness with smoothness, showing intermediate momentum
Slow Ribbon: Moves slowly and shows longer-term momentum context
When these three lines are plotted together with filled area between them, they create a visual ribbon that expands and contracts based on momentum conditions.
WHY RIBBON ALIGNMENT MATTERS
The relationship between these three averages tells you about momentum structure:
BULLISH ALIGNMENT (Fast above Medium above Slow)
When the ribbons are stacked with fast on top, medium in middle, and slow on bottom, momentum is aligned bullishly across multiple timeframes. Short-term momentum leads, with medium and long-term momentum confirming. This is the strongest bullish configuration.
BEARISH ALIGNMENT (Fast below Medium below Slow)
When the ribbons are inverted with fast on bottom, medium in middle, and slow on top, momentum is aligned bearishly across multiple timeframes. Short-term momentum leads downward, with medium and long-term momentum confirming. This is the strongest bearish configuration.
MIXED/TRANSITIONING
When the ribbons are not properly stacked, momentum is in transition. This often occurs during consolidation, trend changes, or choppy conditions. Trading during mixed ribbon states carries higher uncertainty.
RIBBON EXPANSION AND CONTRACTION
Beyond alignment, the distance between the fast and slow ribbon provides additional information:
EXPANDING RIBBON
When the gap between fast and slow ribbon is increasing, momentum is accelerating. In a bullish alignment with expansion, upward momentum is strengthening. In a bearish alignment with expansion, downward momentum is strengthening. Expansion confirms trend conviction.
CONTRACTING RIBBON
When the gap between fast and slow ribbon is decreasing, momentum is decelerating. The current trend may be losing steam. Contraction often precedes consolidation or reversal. It serves as an early warning that the current move may be exhausting.
HOW IT APPEARS ON THE CHART
The fast ribbon appears as a thicker line, the slow ribbon as a thinner line. The area between them fills with color:
Green fill: Bullish ribbon alignment
Red fill: Bearish ribbon alignment
Gray fill: Neutral or transitioning state
The dashboard shows ribbon state as BULL, BEAR, or NEUT, and indicates whether ribbons are expanding (EXP) or contracting (CON).
Ribbon crossovers occur when the fast ribbon crosses the slow ribbon, signaling potential momentum shifts. These crossovers are confirmed only after the bar closes to prevent false signals from intrabar movement.
REVERSAL CLOUDS: PROBABILITY ZONES
The sixth major component is the Reversal Cloud system, which visualizes zones where momentum reversals have elevated probability.
WHAT ARE REVERSAL CLOUDS
Reversal clouds are shaded areas around the QMF oscillator that indicate probability zones for mean reversion. They answer the question: How far from average has momentum extended, and what is the probability it will revert?
When the oscillator moves far from its normal range, it creates stretched conditions. Like a rubber band pulled to its limit, the probability increases that it will snap back toward center. Reversal clouds visualize these stretched conditions.
CLOUD CALCULATION METHODS
Five different calculation methods are available, each with different characteristics:
DYNAMIC BOLLINGER
Uses statistical standard deviation to create bands that adapt to oscillator volatility. When the oscillator is volatile, bands widen. When the oscillator is calm, bands narrow. This method identifies moves that are statistically significant relative to recent oscillator behavior.
GOLDEN RATIO
Applies Fibonacci proportions (0.214 and 0.786) to the oscillator range. These ratios appear throughout nature and markets. Some traders believe these proportions have psychological significance in market behavior.
ADAPTIVE HALO
Scales cloud width based on price ATR rather than oscillator volatility. This connects cloud width to actual price volatility, making the clouds wider during volatile price action and narrower during calm periods.
VOLATILITY SQUEEZE
Uses short-term standard deviation to create bands that contract during low volatility and expand during high volatility. This method is particularly useful for identifying potential breakout conditions when volatility is compressed.
ICHIMOKU RSI
Applies concepts from Ichimoku Kinko Hyo equilibrium theory to create balanced zones. Uses multiple lookback periods to establish equilibrium levels where the oscillator tends to find balance.
HOW TO READ THE CLOUDS
The oscillator moves through the cloud area as momentum fluctuates:
When QMF enters the upper cloud region, it indicates extended bullish momentum. The higher into the cloud, the greater the probability of bearish reversal through mean reversion.
When QMF enters the lower cloud region, it indicates extended bearish momentum. The deeper into the cloud, the greater the probability of bullish reversal through mean reversion.
Cloud opacity adjusts based on reversal probability. More opaque coloring indicates higher reversal probability. Subtle coloring indicates lower reversal probability.
IMPORTANT UNDERSTANDING
Clouds show probability zones, not certainty. Price can remain in extreme zones longer than expected, particularly during strong trends. Clouds are most useful when combined with other components like divergence, S/R breaks, and ribbon alignment rather than used in isolation.
MULTI-TIMEFRAME ANALYSIS: SEEING THE BIGGER PICTURE
The seventh major component is Multi-Timeframe (MTF) analysis, which calculates QMF values across multiple timeframes to assess momentum alignment at different time perspectives.
WHY MULTIPLE TIMEFRAMES MATTER
The timeframe you trade on shows only one perspective of market momentum. A bullish signal on a 15-minute chart may occur within a larger bearish trend on the 4-hour chart. Understanding momentum context from higher timeframes helps you assess whether you are trading with or against the larger flow.
When multiple timeframes align in the same direction, the probability of a successful trade increases. When timeframes conflict, the situation is more uncertain and requires additional caution.
HOW MTF ANALYSIS WORKS
The indicator calculates the full QMF oscillator independently on four configurable timeframes. By default, these are set to 5-minute, 15-minute, 60-minute (1 hour), and 240-minute (4 hour), but you can configure them to any timeframes that suit your trading style.
For each timeframe, the system determines the current momentum bias:
OB - Overbought: QMF above 70, indicating extended bullish momentum that may reverse
B+ - Strong Bullish: QMF above 55 and above its signal line, indicating solid bullish momentum
B - Bullish: QMF above its signal line, indicating mild bullish momentum
N - Neutral: QMF near 50 with no clear direction
S - Bearish: QMF below its signal line, indicating mild bearish momentum
S+ - Strong Bearish: QMF below 45 and below its signal line, indicating solid bearish momentum
OS - Oversold: QMF below 30, indicating extended bearish momentum that may reverse
ALIGNMENT SCORING
The dashboard displays an alignment score showing how many of the four timeframes agree with each directional bias. This appears as a fraction like 3/4 or 2/4.
4/4 Bullish: All four timeframes show bullish readings - maximum bullish alignment
3/4 Bullish: Three timeframes bullish, one diverging - strong bullish alignment
2/4: Split between bullish and bearish - no clear alignment, use caution
3/4 Bearish: Three timeframes bearish, one diverging - strong bearish alignment
4/4 Bearish: All four timeframes show bearish readings - maximum bearish alignment
Higher alignment scores indicate more reliable momentum context. Trading with 3/4 or 4/4 alignment in your favor provides better odds than trading against alignment or during mixed conditions.
NON-REPAINTING MTF DATA
The multi-timeframe data uses proper request.security settings with lookahead disabled and gaps handled correctly. This ensures the MTF readings you see in backtesting match what you would see in real-time trading, with no future data leakage that could create misleading results.
LIVE MOMENTUM SCORING: REAL-TIME MARKET ASSESSMENT
The eighth major component is the Live Momentum Scoring system, which provides continuous real-time feedback on current market conditions.
WHAT IS LIVE MOMENTUM SCORING
Unlike signals which only appear when specific patterns complete, live momentum scores update every bar to show the current balance between bullish and bearish factors. This answers the question: Right now, how do the bullish factors compare to the bearish factors?
The system evaluates six categories for each direction and adds up points:
ZONE POSITION (0-25 points)
Rewards positioning in favorable oscillator zones. Deep oversold positioning adds points to the bullish score. Deep overbought positioning adds points to the bearish score. Extreme zones receive maximum points, moderate zones receive partial points, neutral zones receive zero.
DIVERGENCE (0-20 points)
Rewards active or forming divergence patterns. Confirmed divergence receives full points. Forming (checking) divergence receives partial credit. No divergence receives zero points.
TREND ALIGNMENT (0-20 points)
Rewards proper EMA stacking and trend MA positioning. Full bullish EMA stack (fast above medium above slow above trend MA) receives maximum bullish points. Partial alignment receives partial points.
MOMENTUM DIRECTION (0-15 points)
Rewards current momentum direction and acceleration. Accelerating momentum in the favorable direction receives maximum points. Simple directional momentum receives moderate points. Histogram turning (early reversal signs) receives partial points.
RIBBON STATE (0-10 points)
Rewards proper ribbon alignment and expansion. Aligned and expanding ribbons receive maximum points. Aligned but contracting ribbons receive moderate points. Mixed ribbons receive zero points.
MULTI-TIMEFRAME (0-10 points)
Rewards higher timeframe alignment. 4/4 alignment receives maximum points, scaling down as alignment decreases.
READING THE LIVE SCORES
The dashboard displays current scores for both directions:
BULL: Shows bullish score as percentage (0-100) and letter grade (A through D)
BEAR: Shows bearish score as percentage (0-100) and letter grade (A through D)
BIAS: Shows which direction currently dominates (BULL, BEAR, or NEUTRAL if close)
Grade thresholds:
A Grade: 70% or higher - Strong momentum factors aligned
B Grade: 50-69% - Moderate momentum factors present
C Grade: 30-49% - Some momentum factors but incomplete
D Grade: Below 30% - Weak or missing momentum factors
The dominant bias shows which direction currently has stronger factors. When one side leads by more than 10 points, it shows that direction. Otherwise, it shows NEUTRAL indicating balanced or mixed conditions.
WHY LIVE SCORING MATTERS
Live scores help you understand current market conditions even when no signal has fired. You can see momentum building or fading in real-time. A rising bullish score suggests conditions are improving for potential long opportunities. A rising bearish score suggests conditions are deteriorating.
This continuous feedback helps with:
- Anticipating potential signals before they fire
- Assessing whether to act on signals that do fire
- Understanding why a signal did or did not appear
- Monitoring open positions for changing conditions
THE DASHBOARD: YOUR ANALYSIS CONTROL CENTER
The dashboard provides a comprehensive real-time summary of all indicator components in one organized table. It displays on the price chart using force overlay so it remains visible regardless of which pane you are focused on.
DASHBOARD LAYOUT
The dashboard can be configured in three detail levels:
COMPACT MODE
Shows only essential information: QMF value, zone status, S/R status, and volume. Uses minimal screen space for traders who want the indicator to remain unobtrusive.
STANDARD MODE
Shows balanced detail including QMF values, zone status, last signal information, grade statistics, divergence status, S/R and volume status, live momentum scores, and MTF panel. Suitable for most traders.
FULL MODE
Shows maximum detail including everything in Standard mode plus EMA structure, ribbon state, volatility regime, signal statistics breakdown, and trendline counts. For traders who want complete information access.
DASHBOARD ROWS EXPLAINED
Row 1 - HEADER
Shows indicator name for identification.
Row 2 - QMF VALUES
Displays three values:
- QMF with directional arrow showing current oscillator value and whether it is rising, falling, or unchanged
- SIG showing the signal line value
- Histogram value with plus or minus sign showing the difference between QMF and signal line
Row 3 - PROGRESS BAR
Visual representation of oscillator position from 0 to 100 using text characters. Provides quick visual reference without needing to look at the oscillator pane.
Row 4 - ZONE STATUS
Text classification of current zone with color coding:
- EXTREME OB (red): Oscillator at or above extreme overbought level
- OVERBOUGHT (light red): Oscillator in overbought zone
- BULLISH (light green): Oscillator above 55 but below overbought
- NEUTRAL (gray): Oscillator between 45 and 55
- BEARISH (light red): Oscillator below 45 but above oversold
- OVERSOLD (light blue): Oscillator in oversold zone
- EXTREME OS (blue): Oscillator at or below extreme oversold level
Row 5 - LAST SIGNAL (Standard and Full mode)
Shows information about the most recent signal:
- Direction and grade (LONG A, SHORT B, etc.)
- Bars ago since signal fired
- Entry price when signal fired
- Current profit/loss from that price level
This helps track performance of recent signals and manage any open positions based on them.
Row 6 - GRADE STATISTICS (Standard and Full mode)
Running count of signals generated:
- A: Count of Grade A signals
- B: Count of Grade B signals
- C: Count of Grade C signals
- T: Total signal count
This provides perspective on signal frequency and grade distribution over the visible chart period.
Row 7 - DIVERGENCE STATUS (Standard and Full mode)
Current state of divergence detection:
- CHECKING BULL: Bullish divergence pattern forming, not yet confirmed
- CHECKING BEAR: Bearish divergence pattern forming, not yet confirmed
- BULL CONFIRMED: Bullish divergence validated
- BEAR CONFIRMED: Bearish divergence validated
- NONE: No divergence currently active
Row 8 - S/R AND VOLUME
Two pieces of information:
- S/R status: Shows R BROKEN (resistance broken upward), S BROKEN (support broken downward), AT RES (testing resistance), AT SUP (testing support), or CLEAR (between levels)
- Volume status: Shows HIGH (volume 1.5x or more above average), MID (volume near average), or LOW (volume below average)
Row 9 - LIVE MOMENTUM (Standard and Full mode)
Real-time momentum scoring:
- BULL: Bullish percentage and letter grade
- BEAR: Bearish percentage and letter grade
- Dominant bias indicator
Row 10-11 - MTF PANEL (when enabled, Standard and Full mode)
Multi-timeframe status:
- Top row shows the four timeframe labels
- Bottom row shows the status code for each timeframe (OB, B+, B, N, S, S+, OS)
- Final cell shows alignment score as X/4
FULL MODE ADDITIONAL ROWS
Structure row: Shows EMA stack status (BULL STACK, BEAR STACK, or relationship between fast and slow) and trend MA position (ABOVE MA or BELOW MA)
Stats row: Shows count of long signals, short signals, and active trendlines
Ribbon row: Shows ribbon state (BULL, BEAR, NEUT), expansion status (EXP or CON), and volatility regime (H-VOL for high volatility, L-VOL for low volatility, N-VOL for normal)
DASHBOARD POSITIONING AND SIZING
Position options: Top Left, Top Center, Top Right, Middle Left, Middle Right, Bottom Left, Bottom Center, Bottom Right
Size options: Tiny (minimal space), Small (balanced), Normal (maximum readability)
Choose a position that does not obscure important price action on your chart and a size that balances readability with space efficiency.
HOW SIGNALS EMERGE FROM CONFLUENCE
After understanding all the individual components, it becomes clear how signals are generated. Signals in QMF are not arbitrary triggers based on single conditions. They emerge when multiple independent factors align to create confluence.
THE PATTERN-BASED APPROACH
The signal system uses a hierarchical pattern-based approach. Rather than calculating a score from random factors and labeling it, the system actively hunts for specific predefined pattern combinations.
The system first checks for Grade A patterns. If none are found, it checks for Grade B patterns. If none are found, it checks for Grade C patterns. Each grade represents specific combinations of factors that must be present together.
GRADE A REQUIREMENTS
Grade A patterns require multiple strong factors aligned. Examples of Grade A pattern combinations:
Pattern A1 - Perfect Storm Reversal:
- Extreme zone positioning (deeply oversold or overbought)
- Confirmed regular divergence
- Structural break (resistance broken or support broken or trendline broken)
- Strong volume conviction (1.3x or higher)
- High MTF alignment (3 or more timeframes agreeing)
Pattern A2 - Breakout Conviction:
- Resistance or support broken
- Accelerating momentum in the breakout direction
- Full EMA stack aligned
- Ribbon aligned and expanding
- Strong volume conviction (1.4x or higher)
- Good MTF alignment (2 or more timeframes)
Pattern A3 - Zone Reversal Multi-Confirmation:
- Extreme or standard zone positioning
- Regular or hidden divergence confirmed
- Active bounce from zone
- EMA crossover or MA break in reversal direction
- Good MTF alignment (2 or more timeframes)
- Volume conviction present (1.2x or higher)
All factors in the pattern must be present simultaneously. Missing any single factor disqualifies the Grade A pattern.
GRADE B REQUIREMENTS
Grade B patterns require fewer but still meaningful confirmations. These patterns fire only when no Grade A pattern is detected:
Pattern B1 - Zone with Confirmation:
- Oversold or overbought zone positioning
- Momentum in reversal direction
- Hidden divergence, EMA crossover, or trendline break present
- Minimum MTF alignment met
Pattern B2 - Divergence with Structure:
- Regular or hidden divergence confirmed
- Structural break (S/R or trendline or MA)
- Momentum confirming direction
- Volume at least average
Pattern B3 - Clean Trend Continuation:
- Above or below trend MA
- Ribbon aligned in direction
- Oscillator crossed signal line
- EMA stack complete
GRADE C REQUIREMENTS
Grade C patterns require basic confirmations. These patterns fire only when no Grade A or Grade B pattern is detected:
Pattern C1 - Early Zone Entry:
- Zone positioning or approaching zone
- Momentum in expected direction
- Oscillator or EMA crossover present
Pattern C2 - Momentum Shift:
- Histogram turning in expected direction
- Oscillator crossover confirmed
- Oscillator on expected side of midline
SIGNAL QUALITY CONTROLS
Beyond pattern detection, several quality controls must be satisfied:
COOLDOWN
A minimum number of bars must pass between any two signals. This prevents signal clustering during volatile conditions and ensures each signal represents a distinct opportunity.
DIRECTION ALTERNATION
When enabled, signals must alternate between LONG and SHORT. After a LONG signal, only SHORT signals can fire until direction changes. This prevents multiple consecutive signals in the same direction.
PULLBACK REQUIREMENT
After a signal fires, the oscillator must retrace a minimum percentage before another same-direction signal can fire. This ensures re-entry signals occur after meaningful pullbacks rather than immediately after the first signal.
VOLUME CONFIRMATION (Optional)
When enabled, volume must meet minimum threshold relative to average. This filters out signals during low-volume periods when moves may lack follow-through.
BAR CONFIRMATION
All signals require barstate.isconfirmed, meaning they only fire after the bar closes. This prevents signals from appearing and disappearing during live bar formation, ensuring backtest results match live behavior.
A comprehensive example that combines signal generation logic, grading system, with all elements clearly annotated for easy understanding.
SETTINGS REFERENCE
This section provides a reference for the main configurable settings organized by category.
QUANTUM ENGINE SETTINGS
Sensitivity (5-50): Primary lookback period for momentum calculations. Lower values respond faster but may include more noise. Higher values smooth the oscillator but increase lag. Default 14 balances responsiveness with stability.
Smoothing (1-10): Exponential smoothing applied to final QMF value. Higher values reduce noise, lower values preserve detail. Default 3 provides good noise reduction.
Adaptive Mode: When enabled, automatically adjusts sensitivity based on volatility regime. Increases sensitivity during high volatility, decreases during low volatility.
Dimension Toggles: Enable or disable each of the four dimensions (Velocity, Volume, Volatility, Session) individually. Useful for customizing the oscillator for specific instruments or conditions.
Dimension Weights: Adjust relative contribution of each dimension. Weights are normalized so they do not need to sum to 1.0. Higher weight means that dimension has more influence on the final value.
Signal Length: EMA period for the signal line. Lower values make signal line more responsive, higher values make it smoother.
DISPLAY SETTINGS
Display Mode: Choose between Energy Candles, QMF Line, Impulse Bars, or Heikin Flow visualization.
Candle Glow: Adds luminous glow effect around energy candles based on momentum strength. Visually striking but can impact performance on slower systems.
Glow Layers: Number of glow layers when candle glow is enabled. More layers create smoother gradient but use more resources.
VISUAL SETTINGS
Theme: Choose between Tokyo Night (dark blue with vibrant accents), Dracula (purple-grey with high contrast), or Nord (muted arctic tones). Each theme is designed for extended trading sessions.
Glow Intensity: Controls transparency of glow effects. Lower values create more visible glows, higher values more subtle.
Enable Glow Effects: Master toggle for all glow effects around candles and levels.
REVERSAL CLOUD SETTINGS
Enable Reversal Clouds: Toggle cloud display on or off.
Cloud Style: Choose calculation method (Dynamic Bollinger, Golden Ratio, Adaptive Halo, Volatility Squeeze, Ichimoku RSI).
Cloud Transparency: Higher values make clouds more transparent, lower values more visible.
Cloud Width: Multiplier for cloud width. Higher values create wider reversal zones.
FLOW RIBBON SETTINGS
Enable Ribbons: Toggle ribbon display.
Fast/Medium/Slow Ribbon: Period for each ribbon EMA. Faster periods respond quicker, slower periods show longer-term trend.
DIVERGENCE SETTINGS
Enable Divergence: Toggle divergence detection.
Pivot Sensitivity: Bars required on each side to confirm pivot point. Higher values detect more significant pivots but may miss shorter-term divergences.
Confirmation Bars: Bars to wait after pivot detection before confirming divergence.
Min Strength Pct: Minimum divergence strength percentage to display. Higher values filter out weaker divergences.
Show Lines: Draw connecting lines between divergence pivots.
Min/Max Distance: Range of bars between pivots for valid divergence.
SIGNAL SYSTEM SETTINGS
Enable Signals: Toggle signal generation.
Show Signals: Filter by grade (A Only, A and B, All Grades).
Cooldown Bars: Minimum bars between signals.
Pullback Required Pct: Percentage pullback needed before same-direction signal.
Require Direction Alternation: Force signals to alternate LONG and SHORT.
Fast/Slow EMA: Periods for EMA crossover analysis.
Trend MA: Period for trend-defining moving average.
Min MTF Alignment: Minimum timeframes that must align for higher grades.
Require Volume Confirmation: Make volume threshold mandatory for signals.
Min Volume Ratio: Minimum volume relative to average when required.
TRENDLINE SETTINGS
Enable Trendlines: Toggle automated trendline detection.
Pivot Left/Right: Bars for pivot detection.
Extension Bars: How far to extend lines into future.
Min Touch Points: Minimum pivots to validate line.
Enable Strength Filter: Filter by calculated strength.
Minimum Strength: Threshold for strength filter.
Show Trendline Zones: Display shaded zones around lines.
Zone Width StdDev: Standard deviation multiplier for zone width.
Line Style: Solid, Dashed, or Dotted.
Line Width: Thickness in pixels.
Show Touch Points: Display circle markers at pivots.
Show Strength Labels: Display strength percentage at line end.
SUPPORT RESISTANCE SETTINGS
Enable S/R: Toggle dynamic S/R display.
Pivot Lookback: Period for detecting S/R pivots.
DASHBOARD SETTINGS
Enable Dashboard: Toggle dashboard display.
Position: Screen position (8 options).
Size: Tiny, Small, or Normal.
Style: Compact, Standard, or Full detail level.
MTF Panel: Include or exclude multi-timeframe panel.
MTF 1-4: Timeframe selections for MTF analysis.
LEVEL SETTINGS
Overbought/Oversold: Standard zone thresholds.
Extreme OB/OS: Extreme zone thresholds.
PRACTICAL EXAMPLE: READING THE COMPLETE PICTURE
This example walks through analyzing a chart using all the indicator components together.
SCENARIO: You are analyzing a 15-minute chart looking for trading opportunities.
STEP 1: ASSESS OSCILLATOR ZONE
You look at the QMF oscillator and see it reading 24, which is in the oversold zone. The dashboard confirms this showing OVERSOLD in the zone status. The progress bar shows the oscillator is in the lower portion of its range.
Initial assessment: The market has experienced significant selling pressure and is in territory where bullish reversals have elevated probability.
STEP 2: CHECK STRUCTURE
You look at the dynamic S/R levels. The oscillator recently touched its support level at 22 and bounced. You see an S with checkmark marker indicating support held. The dashboard shows AT SUP status.
Assessment update: The oscillator found support at a level that has held before. This adds to the bullish case.
STEP 3: EXAMINE TRENDLINES
You notice a resistance trendline connecting recent oscillator highs that has been declining. The oscillator is currently approaching this trendline from below. No break has occurred yet.
Assessment update: There is overhead resistance that will need to be cleared. A break above would be significant.
STEP 4: CHECK DIVERGENCE
The dashboard shows BULL CONFIRMED in the divergence status. Looking at the oscillator, you see a BULL DIV label with a dotted line connecting two pivot lows. The oscillator made a higher low while price made a lower low.
Assessment update: Confirmed bullish divergence suggests selling momentum is weakening despite price continuing lower. This is a meaningful signal of potential reversal.
STEP 5: EVALUATE RIBBONS
The ribbons are currently mixed with fast below medium but both above slow. Ribbon fill is gray indicating transitioning state. However, you notice the fast ribbon is turning upward and approaching the medium ribbon from below.
Assessment update: Ribbons are not yet aligned bullish, but appear to be transitioning. A bullish crossover may be approaching.
STEP 6: CHECK MTF ALIGNMENT
The dashboard MTF panel shows: 5m is B+, 15m is B, 1H is N, 4H is S. The alignment shows 2/4 bullish.
Assessment update: Lower timeframes support bullish bias, but higher timeframes are neutral or bearish. This is mixed alignment, suggesting caution. Any bullish move may face resistance from higher timeframe sellers.
STEP 7: REVIEW LIVE MOMENTUM SCORES
Dashboard shows BULL at 52% Grade B, BEAR at 28% Grade D. Dominant bias shows BULL.
Assessment update: Bullish factors currently outweigh bearish factors. The score suggests moderate bullish conditions, not yet strong.
STEP 8: SYNTHESIS
Putting it together:
- Oversold zone positioning (bullish factor)
- Support held (bullish factor)
- Bullish divergence confirmed (strong bullish factor)
- Ribbons transitioning but not yet aligned (neutral)
- MTF alignment mixed at 2/4 (caution factor)
- Live score favors bullish moderately (supporting factor)
- Resistance trendline overhead (risk factor)
Conclusion: Conditions favor a bullish reversal but with caution warranted due to mixed MTF alignment and overhead resistance. This would not qualify for a Grade A signal due to insufficient MTF alignment. If a signal fires, it would likely be Grade B.
STEP 9: SIGNAL FIRES
Several bars later, the oscillator crosses above its signal line while still in oversold territory. The EMA fast crosses above EMA slow. A LONG B signal appears at 85% confluence.
The signal represents: Oversold positioning plus confirmed divergence plus momentum crossover, meeting Grade B pattern requirements.
STEP 10: MONITORING
After entry, you monitor the dashboard for changing conditions. Live momentum scores continue rising. The resistance trendline breaks (TL up arrow marker appears). Ribbons align bullish. MTF alignment improves to 3/4 as the 1H turns bullish.
The improving conditions confirm the trade thesis. You hold the position as conditions strengthen.
ALERTS AVAILABLE
28 alert conditions are available covering all major events. To set up alerts, click the alert icon in TradingView, select this indicator, and choose the desired condition.
SIGNAL ALERTS
- A-Grade LONG Signal: Highest probability bullish entry
- A-Grade SHORT Signal : Highest probability bearish entry
- B-Grade LONG Signal: Solid bullish entry
- B-Grade SHORT Signal: Solid bearish entry
- Any LONG Signal: Any bullish signal regardless of grade
- Any SHORT Signal: Any bearish signal regardless of grade
DIVERGENCE ALERTS
- Regular Bullish Divergence: Classic bullish reversal pattern
- Regular Bearish Divergence: Classic bearish reversal pattern
- Hidden Bullish Divergence: Bullish continuation pattern
- Hidden Bearish Divergence: Bearish continuation pattern
- Any Bullish Divergence: Either regular or hidden bullish
- Any Bearish Divergence: Either regular or hidden bearish
STRUCTURE ALERTS
- Trendline Break Up : Resistance trendline broken
- Trendline Break Down: Support trendline broken
- Resistance Broken: S/R resistance level broken
- Support Broken: S/R support level broken
CROSSOVER ALERTS
- EMA Cross Up : Fast EMA crossed above slow EMA
- EMA Cross Down : Fast EMA crossed below slow EMA
- Trend MA Break Up: Oscillator crossed above trend MA
- Trend MA Break Down: Oscillator crossed below trend MA
ZONE ALERTS
- Entered Overbought Zone: Oscillator entered overbought
- Entered Oversold Zone: Oscillator entered oversold
- Entered Extreme Overbought: Oscillator reached extreme overbought
- Entered Extreme Oversold: Oscillator reached extreme oversold
RIBBON ALERTS
- Ribbon Cross Up: Fast ribbon crossed above slow ribbon
- Ribbon Cross Down: Fast ribbon crossed below slow ribbon
BOUNCE ALERTS
- Bounce From Oversold: Active reversal from oversold zone
- Bounce From Overbought : Active reversal from overbought zone
NON-REPAINTING Structure
All visual elements and signals in this indicator are non-repainting:
- Signals use barstate.isconfirmed to fire only after bar close
- Divergence confirmation waits for pivot validation
- Trendline breaks confirm after bar close
- S/R breaks confirm after bar close
- MTF data uses lookahead off setting
- No future data is used in any calculation
What you see in backtesting accurately represents what would have appeared in real-time trading.
RISK DISCLAIMER
This indicator is provided for educational and informational purposes only. It does not constitute financial advice, investment advice, or trading advice.
Trading financial instruments involves substantial risk of loss and is not suitable for all investors. Past performance is not indicative of future results. The analysis provided by this indicator should not be relied upon as the sole basis for any trading decision.
Before trading:
- Understand you may lose some or all of your investment
- Never trade with money you cannot afford to lose
- Conduct your own research and due diligence
- Consider consulting with a qualified financial advisor
- Practice with paper trading before risking real capital
- Implement proper risk management with recommended maximum 1-2% risk per trade
By using this indicator, you acknowledge that you have read and understood this disclaimer and accept full responsibility for your trading decisions.
Hybrid CCI Scalper ProHybrid CCI Scalper Pro is a sophisticated trading system designed to solve the biggest problem in scalping: False Signals in Choppy Markets.
Unlike standard CCI indicators that fire on every crossover, the HCS Pro uses a Hybrid Logic Engine that distinguishes between high-probability Trend Continuations and powerful Reversal Setups. It processes every potential entry through a 6-factor "Quality Filter" before generating a signal.
Core Features:
1. The Hybrid Signal Engine The script identifies two distinct market conditions:
TREND Mode: Triggers when price is aligned with the Daily/Local trend AND the CCI angle is steep.
REVERSAL Mode (REV): Triggers only on Extreme Momentum (steep angle) combined with a Zero-Line cross, allowing you to catch tops and bottoms without waiting for lagging trend indicators.
2. The Quality Scoring System (Q-Score) Every signal is rated from 0 to 6 stars based on confluence. The signal label shows Q: 4/6, Q: 5/6, etc.
Score 4+: High probability (Recommended).
Score 6: "The Perfect Storm" – All filters (Trend, Volume, RSI, ADX) align.
3. The "Ironclad" Filters To eliminate fake-outs, the script enforces strict rules:
Candle Color Guard: Never Buys on a Red candle or Sells on a Green one.
Angle validation: Flat CCI movement is ignored.
MTF Trend: Checks the Daily timeframe (D1 EMA) to ensure you aren't scalping against the major flow.
Noise Filter: Uses ATR and Volume to ignore low-volatility "dead" markets.
4. The Information Panel A clean dashboard on the top-right displays real-time metrics:
Current Daily Trend (Bull/Bear)
Momentum Strength (Weak/Strong/Extreme)
ADX Power (Trending vs Ranging)
Live Signal Score
How to Trade:
BUY Signal: Look for a Green Triangle. Ideally, the Label should say TREND or REV with a Quality Score of 4/6 or higher.
SELL Signal: Look for a Red Triangle with a high Quality Score.
No Signal? If the panel says "WAIT" or the score is low, the market is likely choppy. Stay out.
Recommended Settings:
Gold (XAUUSD): Works best on 15m.
Forex (EURUSD): Works well on 5m - 15m.
Default settings are optimized for a balance between frequency and accuracy.
MACD Master Suite [Kodexius]The MACD Master Suite is an advanced momentum and trend framework that takes the familiar MACD concept and wraps it in a modern, trader oriented environment. Instead of a single line + histogram combination, it turns MACD into a structured decision layer with enhanced visualization, confluence and context.
The engine is built around a MACD style core with refined smoothing and normalization, designed to keep shifts in momentum clear while avoiding the noisy flicker that standard settings often produce. On top of this core, the suite adds multi timeframe confirmation, adaptive histogram behavior, trend and exhaustion mapping, divergence detection and a compact visual dashboard so you can read momentum structure at a glance rather than bar by bar.
The goal is not to create a “magic signal”, but to make MACD behave like a proper momentum map: highlighting when trend strength is building, when a leg is stretching into exhaustion, where momentum is quietly rolling over beneath price, and how different timeframes are lining up before major continuation or reversal moves.
This is not classic everyday MACD. This suite extends the standard MACD through normalization and integrated features, designed to assist in analyzing momentum patterns, identifying potential reversals, and supporting multi timeframe strategies. It processes MACD data into structured outputs for use in various market conditions.
⚠️ Note:
This is not a traditional MACD, it uses normalized values, enhanced visual feedback, and a multi timeframe dashboard engine for superior signal quality and clarity.
🔹 Features
🔸 Enhanced MACD Core
- Custom MACD style oscillator that combines classic fast/slow smoothing with an internal normalization step, keeping the main wave readable even when volatility or scale changes.
- Flexible inputs for source, lengths and smoothing type so you can adapt the engine to different instruments and trading styles.
- Optional histogram + line combination, giving you both bar based impulse and a smoother line for regime changes and crossovers.
- Gradient colored oscillator line that visually shifts from red (weak momentum) through yellow (neutral) to green (strong momentum), providing at a glance regime identification.
🔸 Gradient Zones & Regime Context
- Configurable “overextended” zones around the MACD baseline, shaded with gradient fills rather than only hard lines.
- Visual emphasis on when the MACD engine is building a persistent push in one direction vs simply oscillating around the midline.
- The mid region is kept deliberately clearer so you can quickly distinguish between trending pushes, mean reverting swings and neutral chop.
🔸 MACD Channel & Break Behaviour
- Optional channel overlay built directly on top of the MACD oscillator, using volatility style bands (e.g., Bollinger-type or Keltner-type) in MACD space instead of price space.
- Helps you see when MACD is expanding strongly away from its recent equilibrium versus compressing inside a narrow band.
- Channel touches and pushes beyond the band edges can act as an additional cue for exhaustion type behaviour or strong continuation bursts.
🔸 Reversal Signal Markers
- Swing aware reversal markers that trigger when MACD conditions suggest a possible shift after stretching into your defined zones.
- Signals use the relationship between the MACD wave and its internal smoothing, aiming to highlight turning points that stand out from ordinary noise and try to filter out noise, focusing on confirmed shifts that align with broader market context.
- Markers are drawn on the MACD plot instead of the price chart to keep structure and signals in one place.
🔸 Divergence Mapping (Regular & Hidden, with MTF Dashboard Support)
- Automatic detection of regular bullish/bearish and hidden bullish/bearish divergences between price and the oscillator.
- Separate visibility toggles for each divergence type so you can focus only on the signals that fit your approach.
- "Wait for candle close" option ensures conservative confirmation, reducing false positives in fast moving markets.
🔸 Multi-Timeframe Custom MACD Dashboard
- Compact dashboard that summarizes MACD Engine state over multiple user defined timeframes in a small table.
Per timeframe cells can show:
– whether MACD is sitting in overbought/oversold style zones or in the neutral core,
– presence of recent bullish/bearish reversal signals,
– the current divergence bias (bullish, bearish or none),
– simple channel break information (upside/downside, or quiet).
Timeframe labels are formatted into familiar units (e.g., 15m, 1H, 4H, 1D) and the table is designed to be readable even when collapsed to a small area.
🔸 Oscillator Trendlines & Break Detection
- Automatically draws trendlines directly on the MACD oscillator, using momentum swing pivots instead of only price highs and lows, so you see structure shifts where they actually start in the underlying momentum.
- Lines adapt to bullish or bearish phases and are anchored only to “clean” pivots with minimal internal violations, making sustained impulse legs and corrective phases much easier to distinguish.
- When MACD momentum closes through one of these oscillator trendlines, the break is highlighted with labels, providing an additional structural confirmation layer on top of standard signal line crossovers or histogram flips.
🔸 Alerts
- Integrated alert conditions for MACD based reversals and all four divergence types (regular/hidden, bullish/bearish).
- Designed so you can create alerts directly from the indicator, turning key MACD events into actionable notifications.
- Altogether, MACD Master Suite consolidates multiple momentum tools into one cohesive interface, helping you read the “story” of MACD and its derivatives more intuitively and efficiently.
🔹 How To Use
▶ Reading the Core Momentum Engine
The main line serves as the primary momentum indicator: positions held above the midline suggest a bullish environment, whereas those below indicate a bearish setting. The gradient zones for overbought and oversold areas help identify when momentum is becoming extended or starting to ease back, offering a smoother view compared to rigid thresholds.
The channels provides an extra information for context:
• Momentum pushing toward or beyond the outer edges shows extension based on recent patterns.
• When it stays nearer to the center, it often points to balanced or corrective phases.
The histogram adds further detail to the picture: upward bars in varying green tones reflect positive momentum buildup, while downward bars in red tones show negative shifts. Diminishing bar sizes can hint at upcoming changes in direction, making it useful for spotting transitions.
Overall, focus on how these elements interact sustained positions, zone interactions, and histogram patterns to build a sense of the current momentum flow without overcomplicating the read.
▶ Working With Reversals & Divergences
Reversal markers show up after momentum enters extreme zones and starts to shift, acting as flags for areas where direction might change. They're best used as highlights for further review rather than standalone triggers.
For divergences, the tool examines how price movements align or differ from the momentum line:
• Regular types (bullish or bearish) point out possible weakening when price hits new levels but momentum doesn't follow suit.
• Hidden types (bullish or bearish) suggest ongoing trends when price retraces but momentum holds its ground.
Customize by selecting which divergences to show and opting for confirmation only after bars close this reduces clutter and promotes a steadier perspective. Experiment with these settings to match your preferred level of detail, such as enabling all types for in depth scans or limiting to regulars for simpler overviews.
In practice, combine reversals with divergences for layered insights: a reversal marker near a divergence line could strengthen the case for monitoring that area closely.
▶ Reading the Multi-Timeframe Dashboard
This dashboard packs insights from various timeframes into a compact table, allowing quick checks of alignment without switching views. Columns represent each timeframe you select, while rows cover aspects like divergence types, extreme states, general signals, and channel interactions.
A straightforward method is to:
• Look for consistency, such as matching patterns across higher frames signaling a unified trend.
• Spot differences, like shorter frames showing pullbacks while longer ones stay in extremes, which might indicate temporary adjustments.
• Use color cues greens for positive leans, reds for negative to get an at a glance feel before diving deeper.
Treat it as a quick reference tool: before focusing on a specific chart, scan the dashboard to see if broader contexts support or contradict your observations, helping refine your approach across scales.
▶ Trendlines, Breaks & Structure
Trendlines are generated from key swings in the momentum line, mapping out bullish or bearish patterns directly on the panel. This helps visualize hidden structures in momentum that might not be obvious from price alone.
Upward sloping lines often align with building positivity, downward ones with negativity. Breaks in these lines, marked on the display, can indicate when an established pattern is giving way to something different.
It's common to leave this feature disabled for routine checks and activate it for deeper examinations, such as during volatile periods or when confirming longer term shifts.
To get the most out, observe how trendlines evolve over time persistent lines might reinforce a regime, while frequent breaks could signal choppy or transitional conditions, adding another dimension to your momentum assessment.
TSS by AMAGADONTSS - THE SESSION SETUP
The Methodology
THE SESSION SETUP (TSS) is a price-action framework that utilizes session-specific volatility to define intraday expansion zones. By isolating the opening ranges of the Asia, London, and New York sessions on the 15-minute (M15) timeframe, TSS identifies clear institutional "interest zones."
The algorithm monitors these ranges for two specific price-action events:
Primary Breakouts: Decisive candle closes outside the session boundaries.
Liquidity Reversals (Counter-Signals): Identification of "fake-outs" where price traps initial breakout traders before reversing through the entire session range.
Features
Automated Session Boxes: Dynamic range calculation for all major global sessions.
Precision TP Levels: Systematic profit targets based on the measured session range (R).
Timeframe Integrity: Built-in guard to ensure the logic is only applied to the M15 timeframe, preserving the accuracy of the range calculations.
Visual Median: Dotted mid-lines to identify the "mean" price within a session.
CRITICAL DISCLOSURE - PLEASE READ CAREFULLY
HIGH RISK INVESTMENT WARNING: Trading Foreign Exchange (Forex) is highly speculative, carries a high level of risk, and may not be suitable for all investors. You may sustain a loss of some or all of your invested capital; therefore, you should not speculate with capital that you cannot afford to lose. NO FINANCIAL ADVICE: The TSS - THE SESSION SETUP indicator is a technical analysis tool provided for informational and educational purposes only. It does not constitute investment advice, financial advice, or a recommendation to buy or sell any currency pair or financial instrument.
LIMITATION OF LIABILITY:
Execution Risk: The author does not guarantee the accuracy of signals. Market conditions, including news-driven volatility, spreads, and slippage, can result in trades that differ significantly from the indicator's visual signals.
Backtesting Limitation: Past performance and historical signals are not indicative of future results.
User Responsibility: You are solely responsible for your trading decisions. The author of this script shall not be held liable for any loss or damage, including without limitation, any loss of profit, which may arise directly or indirectly from the use of or reliance on this tool.
BY USING THIS SCRIPT, YOU AGREE THAT YOU ARE TRADING AT YOUR OWN RISK.
AI Reversal Signals Custom [wjdtks255]📊 Indicator Overview: AI Reversal Signals Custom
This indicator is a comprehensive trend-following and reversal detection tool. It combines the long-term trend bias of a 200 EMA with highly sensitive RSI-based reversal signals and momentum visualization. It is designed to capture market bottoms and tops by identifying exhaustion points in price action.
Key Features
200 EMA (Trend Filter): A gold line representing the long-term institutional trend. It helps traders distinguish between "buying the dip" and "catching a falling knife."
Reversal Buy/Sell Labels: Real-time signals that appear when the market recovers from extreme overbought or oversold conditions.
Dynamic Background Clouds: Visual indicators of trend strength changes, highlighting potential entry zones.
Momentum Histogram: Internal calculations mimic the "Bottom Bars" seen in professional suites to track the velocity of price movement.
📈 Trading Strategy (How to Trade)
1. High-Probability Long Setup (Buy)
Trend Confirmation: Price should ideally be trading above the 200 EMA for the highest success rate.
Signal: Wait for the "BUY" label to appear below the candle.
Momentum: Confirm with the Light Green background or histogram shift indicating recovery.
Entry: Enter on the close of the signal candle.
2. High-Probability Short Setup (Sell)
Trend Confirmation: Price should ideally be trading below the 200 EMA.
Signal: Wait for the "SELL" label to appear above the candle.
Momentum: Confirm with the Red background or histogram fading from green to red.
Entry: Enter on the close of the signal candle.
3. Risk Management
Stop Loss: Place your Stop Loss slightly below the recent swing low for Buy orders, or above the recent swing high for Sell orders.
Take Profit: Exit when the price reaches a major support/resistance level or when an opposing signal appears.
💡 Professional Tip
For the best results, use this indicator on the 15-minute or 1-hour timeframes. The most powerful "Ultimate Reversal" signals occur when there is a Bullish Divergence (Price making lower lows while the RSI makes higher lows) followed by a confirmed "BUY" label.
Institutional Trap & Reversal [Premium]Retail traders often lose money because they chase "breakouts" that are actually Liquidity Traps set by institutional algorithms. This script is designed to solve that problem.
Unlike standard indicators that clutter your chart with lagging moving averages and noisy clouds, the Institutional Trap & Reversal runs a high-performance Background Algorithm to detect "Smart Money" activity. It keeps your chart 100% clean and only prints a signal when a high-probability reversal structure is confirmed.
How it Works (The Logic): The script utilizes a proprietary "Dual-Stage Verification" process to filter out false signals:
1. Liquidity Absorption: It detects specific candle geometries (Shadow-Excursion Ratios) where price aggressively breaks a level but fails to sustain momentum, trapping breakout traders.
2. Volumetric Pressure: It validates these traps using a relative volume anomaly detector to ensure institutions are active in the move.
3. Structural Delta: It analyses the net order-flow bias of the session (Displacement) to ensure the reversal aligns with the immediate market structure.
Key Premium Features:
a. Smart Resolution (Auto-Timeframe): The script automatically detects your chart timeframe and syncs with the correct Higher-Timeframe Trend (e.g., 5m Chart $\rightarrow$ 1H Trend). No manual adjustment needed.
b. Adaptive Baseline (KAMA): Uses a "Kaufman Adaptive" neural-smoothing algorithm to dynamically adjust trend filters based on market volatility, reducing noise during choppy conditions.
c. Institutional Visuals: Uses specific colour theory to reduce emotional trading errors:
Blue ⚡ (Demand): Institutional Accumulation Zone.
Orange ⚡ (Supply): Institutional Distribution Zone.
How to Use (Strategy) : This tool is designed as a "Setup Locator" with a built-in failure protocol. We recommend the Volume-Test Entry Method :
1. Wait for the Signal : Look for a Blue ⚡ (Buy Setup) or Orange ⚡ (Sell Setup).
2. Volume Validation (Crucial) : Do not enter immediately. Wait for the next candle to close with Lower Volume . This confirms that immediate pressure has paused.
3. Execution Protocols :
For a BUY Signal (Blue ⚡) :
a. Standard Entry : If price breaks the HIGH of the lower-volume candle, the trap is confirmed. Enter Long .
b. Failure Flip (Reversal) : If price instead breaks the LOW of the lower-volume candle, the Buy Trap has failed. Go Short immediately .
For a SELL Signal (Orange ⚡) :
a. Standard Entry : If price breaks the LOW of the lower-volume candle, the trap is confirmed. Enter Short .
b. Failure Flip (Reversal) : If price instead breaks the HIGH of the lower-volume candle, the Sell Trap has failed. Go Long immediately .
Why use the Failure Flip? A failed institutional trap often results in an explosive move in the opposite direction as trapped traders are forced to cover their positions.
4. Stop Loss : Place above/below the swing high/low of the setup structure.
Why is this Closed-Source? This script contains proprietary calculations for Volume Weighting and Adaptive Smoothing that protect the unique combination of filters used to generate these signals. It provides a professional-grade edge that standard open-source scripts cannot replicate.
Disclaimer: This tool is for educational analysis purposes only. Past performance does not guarantee future results.
Access & Updates: For access details, tutorials, and more information, please check the link in my TradingView Profile Bio or Signature below.
Custom Reversal Oscillator [wjdtks255]📊 Indicator Overview: Custom Reversal Oscillator
This indicator is a momentum-based oscillator designed to identify potential trend reversals by analyzing price velocity and relative strength. It visualizes market exhaustion and recovery through a dynamic histogram and signal dots, similar to premium institutional tools.
Key Components
Dynamic Histogram (Bottom Bars): Changes color based on momentum strength. Bright Green/Red indicates accelerating momentum, while Darker shades suggest fading strength.
Signal Line: A white line tracing the core momentum, helping to visualize the "wave" of the market.
Buy/Sell Dots: Small circles at the bottom (Mint) or top (Red) that signal high-probability reversal points when the market is overextended.
📈 Trading Strategy (How to Trade)
1. Long Entry (Buy Signal)
Condition 1: The price should ideally be near or above the 200 EMA (for trend following) or showing a Bullish Divergence.
Condition 2: The Histogram bars transition from Dark Red to Bright Green.
Condition 3: A Mint Buy Dot appears at the bottom of the oscillator (near the -25 level).
Entry: Enter on the close of the candle where the Buy Dot is confirmed.
2. Short Entry (Sell Signal)
Condition 1: The price is struggling at resistance or showing a Bearish Divergence.
Condition 2: The Histogram bars transition from Dark Green to Bright Red.
Condition 3: A Red Sell Dot appears at the top of the oscillator (near the +25 level).
Entry: Enter on the close of the candle where the Sell Dot is confirmed.
3. Exit & Take Profit
Take Profit: Close the position when the Signal Line reaches the opposite extreme or when the histogram color starts to fade (loses its brightness).
Stop Loss: Place your stop loss slightly below the recent swing low (for Longs) or above the recent swing high (for Shorts).
💡 Pro Tips for Accuracy
Watch for Divergences: The most powerful signals occur when the price makes a lower low, but the Custom Reversal Oscillator makes a higher low. This indicates "Hidden Strength" and a massive reversal is often imminent.
Quasimodo (QML) Pattern [Kodexius]Quasimodo (QML) Pattern is a market structure indicator that automatically detects Bullish and Bearish Quasimodo formations using confirmed swing pivots, then visualizes the full structure directly on the chart. The script focuses on the classic liquidity-grab narrative of the QML: a sweep beyond a prior swing (the Head) followed by a decisive market structure break (MSB), leaving behind a clearly defined reaction zone between the Left Shoulder and the Head.
Detection is built on pivot highs and lows, so patterns are evaluated only after swing points are validated. Once a valid 4 pivot sequence is identified, the indicator draws the pattern legs, highlights the internal triangle area to emphasize the grab, marks the MSB leg, and projects a QML zone that can be used as a potential area of interest for retests.
This tool is designed for traders who work with structure, liquidity concepts, and reversal/continuation triggers, and who want a clean, repeatable QML visualization without manually marking swings.
🔹 Features
🔸 Confirmed Pivot Based Structure Mapping
The script uses classic built-in pivot logic to detect swing highs and swing lows.
🔸 Automatic Bullish and Bearish QML Detection
The indicator evaluates the most recent 4 pivots and checks for a valid alternating sequence (High-Low-High-Low or Low-High-Low-High). When the sequence matches QML requirements, the script classifies the setup as bullish or bearish:
Bullish logic (structure reversal up):
- Left Shoulder is a pivot Low
- Head is a lower Low than the Left Shoulder (liquidity sweep)
- MSB pivot exceeds the Reaction pivot
Bearish logic (structure reversal down):
- Left Shoulder is a pivot High
- Head is a higher High than the Left Shoulder (liquidity sweep)
- MSB pivot breaks below the Reaction pivot
🔸 Full Pattern Visualization (Legs + Highlighted Core)
When a pattern triggers, the script draws:
Three main legs: Left Shoulder to Reaction, Reaction to Head, Head to MSB
A shaded triangular highlight over the internal structure to make the liquidity-grab shape easy to spot at a glance
🔸 QML Zone Projection
A QML Zone box is drawn using the price range defined between the Left Shoulder and the Head, then extended to the right to remain visible as price develops. This zone is intended to act as a practical reference area for potential retests and reaction planning after MSB confirmation.
🔸 MSB Emphasis
A dotted MSB line is drawn between the Reaction point and the MSB point to visually emphasize the confirmation leg that completes the pattern logic.
🔸 Clean Point Tagging and Directional Labeling
Key points are labeled directly on the chart:
- “LS” at the Left Shoulder
- “Head” at the sweep pivot
- “MSB” at the break pivot
A directional label (“Bullish QML” or “Bearish QML”) is also printed to quickly identify the detected bias.
🔸 Configurable Visual Style
All main visual components are user configurable:
- Bullish and bearish colors
- Line width
- Label size
🔸 Efficient Update Logic
Pattern checks are only performed when a new pivot is confirmed, avoiding unnecessary repeated calculations on every bar. The most recent pattern’s projected elements (zone and label positioning) are updated as new bars print to keep the latest setup readable.
🔹 Calculations
This section summarizes the core logic used for detection and plotting.
1. Pivot Detection (Swing Highs and Lows)
The script relies on confirmed pivots using the user inputs:
Left Bars: how many bars must exist to the left of the pivot
Right Bars: how many bars must exist to the right to confirm it
float ph = ta.pivothigh(leftLen, rightLen)
float pl = ta.pivotlow(leftLen, rightLen)
When a pivot is confirmed, its true bar index is the pivot bar, not the current bar, so the script stores:
bar_index
2. Pivot Storage and History Window
Each pivot is stored as a structured object containing:
- price
- index
- isHigh (true for pivot high, false for pivot low)
A rolling history is maintained (up to 50 pivots) to keep processing stable and memory usage controlled.
3. Sequence Validation (Alternation Check)
The pattern evaluation always uses the latest 4 pivots:
p0: Left Shoulder candidate
p1: Reaction candidate
p2: Head candidate
p3: MSB candidate
Before checking bullish/bearish rules, the script enforces alternating pivot types:
bool correctSequence =
(p0.isHigh != p1.isHigh) and
(p1.isHigh != p2.isHigh) and
(p2.isHigh != p3.isHigh)
This prevents invalid structures like consecutive highs or consecutive lows from being interpreted as QML.
4. Bullish QML Conditions
A bullish QML is evaluated when the Left Shoulder is a Low:
Head must be lower than Left Shoulder (sweep)
MSB must be higher than Reaction (break)
if not p0.isHigh
if p2.price < p0.price and p3.price > p1.price
// Bullish QML confirmed
Interpretation:
p2 < p0 represents the liquidity grab below the prior swing low
p3 > p1 represents the market structure break above the reaction high
5. Bearish QML Conditions
A bearish QML is evaluated when the Left Shoulder is a High:
Head must be higher than Left Shoulder (sweep)
MSB must be lower than Reaction (break)
if p0.isHigh
if p2.price > p0.price and p3.price < p1.price
// Bearish QML confirmed
Interpretation:
p2 > p0 represents the liquidity grab above the prior swing high
p3 < p1 represents the market structure break below the reaction low
6. Drawing Logic (Structure, Highlight, Zone, Labels)
When confirmed, the script draws:
Three connecting legs (LS to Reaction, Reaction to Head, Head to MSB)
A shaded triangle using a transparent “ghost” line to enable filling
A dotted MSB emphasis line between Reaction and MSB
A QML Zone box spanning the LS to Head price range and projecting to the right
Point labels: LS, Head, MSB
A direction label: “Bullish QML” or “Bearish QML”
7. Latest Pattern Extension
To keep the newest setup readable, the script updates the most recently detected pattern by extending its projected elements as new bars print:
QML zone right edge is pushed forward
The main label x position is pushed forward
This keeps the last identified QML zone visible as price evolves, without having to redraw historical patterns on every bar.
Amihud Illiquidity Ratio [MarkitTick]💡This indicator implements the Amihud Illiquidity Ratio, a financial metric designed to measure the price impact of trading volume. It assesses the relationship between absolute price returns and the volume required to generate that return, providing traders with insight into the "stress" levels of the market liquidity.
Concept and Originality
Standard volume indicators often look at volume in isolation. This script differentiates itself by contextualizing volume against price movement. It answers the question: "How much did the price move per unit of volume?" Furthermore, unlike static indicators, this implementation utilizes dynamic percentile zones (Linear Interpolation) to adapt to the changing volatility profile of the specific asset you are viewing.
Methodology
The calculation proceeds in three distinct steps:
1. Daily Return: The script calculates the absolute percentage change of the closing price relative to the previous close.
2. Raw Ratio: The absolute return is divided by the volume. I have introduced a standard scaling factor (1,000,000) to the calculation. This resolves the issue of the values being astronomically small (displayed as roughly 0) without altering the fundamental logic of the Amihud ratio (Absolute Return / Volume).
- High Ratio: Indicates that price is moving significantly on low volume (Illiquid/Thin Order Book).
- Low Ratio: Indicates that price requires massive volume to move (Liquid/Deep Order Book).
3. Dynamic Regimes: The script calculates the 75th and 25th percentiles of the ratio over a lookback period. This creates adaptive bands that define "High Stress" and "Liquid" zones relative to recent history.
How to Use
Traders can use this tool to identify market fragility:
- High Stress Zone (Red Background): When the indicator crosses above the 75th percentile, the market is in a High Illiquidity Regime. Price is slipping easily. This is often observed during panic selling or volatile tops where the order book is thin.
- Liquid Zone (Green Background): When the indicator drops below the 25th percentile, the market is in a Liquid Regime. The market is absorbing volume well, which is often characteristic of stable trends or accumulation phases.
- Dashboard: A visual table on the chart displays the current Amihud Ratio and the active Market Regime (High Stress, Normal, or Liquid).
Inputs
- Calculation Period: The lookback length for the average illiquidity (Default: 20).
- Smoothing Period: The length of the additional moving average to smooth out noise (Default: 5).
- Show Quant Dashboard: Toggles the visibility of the on-screen information table.
● How to read this chart
• Spike in Illiquidity (Red Zones)
Price is moving on "thin air." Expect high volatility or potential reversals.
• Low Illiquidity (Green/Stable Zones)
The market is deep and liquid. Trends here are more sustainable and reliable.
• Divergence
Watch for price making new highs while liquidity is drying up—a classic sign of an exhausted trend.
Example:
● Chart Overview
The chart displays the Amihud Illiquidity indicator applied to a Gold (XAUUSD) 4-hour timeframe.
Top Pane: Price action with manual text annotations highlighting market reversals relative to liquidity zones.
Bottom Pane: The specific technical indicator defined in the logic. It features a Blue Line (Raw Illiquidity), a Red Line (Signal/Smoothed), and dynamic background coloring (Red and Green vertical strips).
● Deep Visual Analysis
• High Stress Regime (Red Zones)
Visual Event: In the bottom pane, the background periodically shifts to a translucent red.
Technical Logic: This event is triggered when the amihudAvg (the smoothed illiquidity ratio) exceeds the 75th percentile ( hZone ) of the lookback period.
Forensic Interpretation: The logic calculates the absolute price change relative to volume. A spike into the red zone indicates that price is moving significantly on relatively lower volume (high price impact). Visually, the chart shows these red zones aligning with local price peaks (volatility expansion), leading to the bearish reversal marked by the red box in the top pane.
• Liquid Regime (Green Zones)
Visual Event: The background shifts to a translucent green in the bottom pane.
Technical Logic: This triggers when the amihudAvg falls below the 25th percentile ( lZone ).
Forensic Interpretation: This state represents a period where large volumes are absorbed with minimal price impact (efficiency). On the chart, this green zone corresponds to the consolidation trough (green box, top pane), validating the annotated accumulation phase before the bullish breakout.
• Indicator Lines
Blue Line: This is the illiquidityRaw value. It represents the raw daily return divided by volume.
Red Line: This is the smoothedVal , a Simple Moving Average (SMA) of the raw data, used to filter out noise and define the trend of liquidity stress.
● Anomalies & Critical Data
• The Reversal Pivot
The transition from the "High Stress" (Red) background to the "Liquid" (Green) background serves as a visual proxy for market regime change. The chart shows that as the Red zones dissipate (volatility contraction), the market enters a Green zone (efficient liquidity), which acted as the precursor to the sustained upward trend on the right side of the chart.
● About Yakov Amihud
Yakov Amihud is a leading researcher in market liquidity and asset pricing.
• Brief Background
Professor of Finance, affiliated with New York University (NYU).
Specializes in market microstructure, liquidity, and quantitative finance.
His work has had a major impact on both academic research and practical investment models.
● The Amihud (2002) Paper
In 2002, he published his influential paper: “Illiquidity and Stock Returns: Cross-Section and Time-Series Effects” .
• Key Contributions
Introduced the Amihud Illiquidity Measure, a simple yet powerful proxy for market liquidity.
Demonstrated that less liquid stocks tend to earn higher expected returns as compensation for liquidity risk.
The measure became one of the most widely used liquidity metrics in finance research.
● Why It Matters in Practice
Used in quantitative trading models.
Applied in portfolio construction and risk management.
Helpful as a liquidity filter to avoid assets with excessive price impact.
In short: Yakov Amihud established a practical and robust link between liquidity and returns, making his 2002 work a cornerstone in modern financial economics.
Disclaimer: All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Kinetic Scalper [BULLBYTE]KINETIC SCALPER - ADVANCED MOMENTUM & CONFLUENCE TRADING SYSTEM
A SOPHISTICATED MULTI-FACTOR ANALYSIS INDICATOR FOR PRECISION ENTRIES
The Kinetic Scalper is a comprehensive trading analysis tool that combines volume-weighted momentum calculations, multi-oscillator divergence detection, and a proprietary 15-factor confluence scoring system to identify high-probability reversal setups across all timeframes.
WHAT MAKES THIS INDICATOR ORIGINAL
This is NOT a simple mashup of existing indicators.
The Kinetic Scalper features a completely custom momentum engine called the "Kinetic Pulse" - a volume-weighted momentum oscillator with Fisher Transform normalization that fundamentally differs from standard RSI or other momentum indicators. Every component feeds into a unified algorithmic framework designed specifically for this system.
KEY INNOVATIONS:
KINETIC PULSE ENGINE
Unlike standard RSI which uses simple price changes, the Kinetic Pulse applies:
→ Volume weighting to price movements (high-volume moves carry more weight)
→ EMA smoothing instead of traditional SMA (faster response to changes)
→ Fisher Transform normalization for improved signal clarity
→ Adaptive period adjustment based on current volatility regime
→ Result: A momentum oscillator that responds to conviction, not just price noise
15-FACTOR CONFLUENCE SCORING SYSTEM
Every signal is graded based on the number of confirming factors present:
→ Momentum position (oversold/overbought extremes)
→ Momentum velocity (direction change confirmation)
→ Momentum acceleration (strength of reversal)
→ Multi-oscillator divergence (price vs. 3 oscillators)
→ Volume confirmation (above-average participation)
→ Volume delta analysis (buying vs. selling pressure)
→ Higher timeframe alignment (trend confirmation from larger timeframe)
→ Session timing (major forex session awareness)
→ Structure clearance (clear path to profit targets)
→ Support/resistance proximity (confluence with key levels)
→ Market regime filtering (trending vs. choppy conditions)
Signals are graded A+, A, or B based on how many factors align:
• CONSERVATIVE MODE: A+ requires 12+ factors, A requires 9+, B requires 7+
• BALANCED MODE: A+ requires 10+ factors, A requires 7+, B requires 5+
• AGGRESSIVE MODE: A+ requires 8+ factors, A requires 5+, B requires 3+
TRADE ANALYSIS STATE MACHINE
A sophisticated monitoring system that tracks trade conditions in real-time using:
→ 5-state analysis framework (Factors Aligned / Positive Bias / Mixed Signals / Factors Weakening / Negative Bias)
→ Hysteresis-based transitions (different thresholds to enter vs. exit states)
→ Confidence smoothing with EMA (reduces noise, prevents flip-flopping)
→ Minimum commitment periods before state changes
→ Override logic for significant events (near TP/SL, momentum reversals)
→ Result: Stable, actionable guidance that doesn't change on every bar
INSTRUMENT-AWARE CALIBRATION
Automatically detects what you're trading and applies optimized parameters:
→ Forex Majors: Standard ATR, high session weight
→ Forex Crosses: Tighter stops, moderate session weight
→ Crypto: Wider stops (1.8x multiplier), reduced session weight (24/7 markets)
→ Indices: Moderate-wide stops, high session weight
→ Commodities: Moderate stops, moderate session weight
WHAT THIS INDICATOR DOES
The Kinetic Scalper is designed to identify high-confluence reversal opportunities by analyzing multiple dimensions of market behavior simultaneously.
CORE FUNCTIONS:
1. SIGNAL GENERATION
→ Identifies potential reversal points at oversold/overbought extremes
→ Confirms with multi-oscillator divergence detection
→ Validates with volume, higher timeframe, and structural analysis
→ Filters out low-probability setups automatically
→ Grades signals based on total confluence factors present
2. AUTOMATED TRADE TRACKING
→ Calculates structure-based or ATR-based stop loss levels
→ Projects take profit targets using risk-to-reward ratios
→ Monitors live position status (P/L, distance to targets, R-multiple)
→ Tracks TP1 and TP2 hits automatically
→ Displays outcome markers (TP HIT, PARTIAL WIN, STOPPED)
3. REAL-TIME CONDITION MONITORING
→ Analyzes 6 factor categories during active trades
→ Provides confidence scoring (0-100 scale)
→ Generates actionable guidance based on current market state
→ Alerts when conditions deteriorate or improve
→ Helps with trade management decisions
4. COMPREHENSIVE MARKET ANALYSIS
→ Session detection (Asian, London, New York, Overlap)
→ Volatility regime identification (Low, Normal, High, Extreme)
→ Trend state classification (Trending Up/Down, Ranging, Transitioning)
→ Volume analysis (relative volume and delta approximation)
→ Choppiness filtering (blocks signals in ranging markets)
WHY USE THIS INDICATOR
PROBLEM: Most momentum indicators generate too many false signals at extremes.
SOLUTION: The Kinetic Scalper requires MULTIPLE confirming factors before generating a signal, dramatically reducing noise and focusing on high-confluence setups.
ADVANTAGES:
✓ QUALITY OVER QUANTITY
→ Signal grading ensures you can filter for only the highest-quality setups
→ A+ signals have 10-12+ confirming factors aligned
→ Cooldown periods prevent over-trading the same move
✓ COMPLETE TRADE FRAMEWORK
→ Entry signals with confluence justification
→ Calculated stop loss based on market structure or ATR
→ Two profit targets with clear risk-to-reward ratios
→ Live trade monitoring with factor analysis
→ Outcome tracking and visual markers
✓ ADAPTIVE TO MARKET CONDITIONS
→ Volatility-based period adjustment for momentum calculations
→ Instrument-specific ATR multipliers
→ Session awareness for forex traders
→ Higher timeframe trend filtering
→ Automatic regime detection (trending vs. choppy)
✓ TRANSPARENT METHODOLOGY
→ Every input has detailed tooltips explaining its purpose
→ Signal tooltips show exactly why a signal was generated
→ Dashboard displays all relevant market conditions
→ Factor scores are visible during trades
→ No "black box" mystery calculations
✓ NON-REPAINTING & RELIABLE
→ All signals use barstate.isconfirmed (only on closed bars)
→ Higher timeframe data uses lookahead_off with historical offset
→ No future data access or repainting behavior
→ What you see is what you get - signals don't disappear or move
HOW THE INDICATOR WORKS
SIGNAL GENERATION PROCESS:
STEP 1: MOMENTUM ANALYSIS
The Kinetic Pulse engine calculates volume-weighted momentum:
→ Price changes are weighted by volume ratio vs. 20-bar average
→ High-volume moves have more influence on the oscillator
→ Gains and losses are smoothed using EMA (not SMA like RSI)
→ Fisher Transform is applied for normalization to 0-100 scale
→ Result: Momentum reading that emphasizes conviction, not noise
STEP 2: REVERSAL DETECTION
The indicator looks for potential reversal conditions:
→ Kinetic Pulse reaching oversold zone (below dynamic lower threshold)
→ Momentum velocity turning positive after being negative (for longs)
→ OR bullish divergence detected on multiple oscillators
→ Price making lower lows while oscillators make higher lows = divergence
STEP 3: MULTI-OSCILLATOR DIVERGENCE CONFIRMATION
Divergence is validated across three sources:
→ Kinetic Pulse divergence
→ CCI divergence
→ Stochastic divergence
→ Multiple oscillators confirming divergence increases signal reliability
STEP 4: CONFLUENCE FACTOR SCORING
The system evaluates all 15 possible confirming factors:
→ Momentum position: Is pulse oversold/overbought? (+0 to +2 points)
→ Momentum direction: Is velocity reversing? (+0 to +2 points)
→ Momentum acceleration: Is reversal strengthening? (+0 to +1 point)
→ Divergence count: How many oscillators show divergence? (+0 to +2 points)
→ Volume strength: Is volume above 1.3x average? (+0 to +1 point)
→ Volume delta: Is cumulative delta positive/negative? (+0 to +1 point)
→ HTF alignment: Does higher timeframe support direction? (+0 to +2 points)
→ Session timing: Is it a prime trading session? (+0 to +1 point)
→ Clear air: Is path to targets clear of obstacles? (+0 to +1 point)
→ Structure confluence: Are we near support/resistance? (+0 to +1 point)
→ Market regime: Is market trending, not choppy? (+0 to +1 point)
Total possible score: 15 points
Minimum for signal: 3-12 points depending on sensitivity mode
STEP 5: FILTER VALIDATION
Before generating a signal, additional checks are performed:
→ Volume must be above minimum threshold (if filter enabled)
→ Higher timeframe must not oppose the signal direction (if filter enabled)
→ Target path must be clear of major resistance/support (if filter enabled)
→ Volatility must not be EXTREME (blocks signals in chaos)
→ Risk-to-reward ratio must meet minimum requirement
→ Cooldown period must have elapsed since last signal
STEP 6: SIGNAL GRADING
If all filters pass, the signal is graded based on score:
→ A+ Grade: Highest confluence (8-12+ factors depending on sensitivity)
→ A Grade: High confluence (5-9+ factors)
→ B Grade: Moderate confluence (3-7+ factors)
Only graded signals (A+, A, or B) are displayed.
STEP 7: TRADE LEVEL CALCULATION
Stop loss and targets are calculated automatically:
STOP LOSS METHODS:
• Structure-Based: Uses recent swing low/high with ATR buffer, constrained by min/max ATR limits
• ATR-Based: Pure ATR multiplier with min/max constraints
• Fixed ATR: Simple ATR multiplier, no adjustments
TARGET CALCULATION:
• TP1: Entry ± (Stop Distance × Target 1 R:R)
• TP2: Entry ± (Stop Distance × Target 2 R:R)
• Default: TP1 at 1.0 R:R (1:1), TP2 at 2.0 R:R (1:2)
STEP 8: TRADE MONITORING
Once a signal is taken, the indicator tracks:
→ Current P/L in ticks and R-multiples
→ Distance to each target in ATR units
→ Distance to stop loss in ATR units
→ TP1 hit detection (marks with label, updates lines)
→ TP2 hit detection (closes trade, marks outcome)
→ Stop loss hit detection (closes trade, differentiates partial vs. full loss)
STEP 9: FACTOR ANALYSIS (DURING TRADES)
The Trade Analysis Panel monitors 6 key factor categories:
→ Momentum: Is momentum still aligned with trade direction? (-15 to +15 pts)
→ Position: Current R-multiple position (-12 to +12 pts)
→ Volume: Is volume still supportive? (-6 to +6 pts)
→ HTF Alignment: Does HTF still support trade? (-6 to +8 pts)
→ Target Proximity: How close are we to targets? (0 to +10 pts)
→ Stop Proximity: Are we dangerously close to stop? (-15 to +3 pts)
Raw scores are summed and smoothed using 5-bar EMA to create Confidence Score (0-100).
STEP 10: STATE MACHINE TRANSITIONS
Based on smoothed confidence, the system transitions between 5 states:
→ FACTORS ALIGNED (72+): Everything looks good
→ POSITIVE BIAS (58-72): Conditions favorable
→ MIXED SIGNALS (48-58): Neutral conditions
→ FACTORS WEAKENING (22-48): Concerning signals
→ NEGATIVE BIAS (<22): Poor conditions
Hysteresis prevents rapid flipping between states (different entry/exit thresholds).
RECOMMENDED TIMEFRAMES & INSTRUMENTS
TIMEFRAME VERSATILITY:
Despite the name "Scalper," this indicator works on ALL timeframes:
✓ LOWER TIMEFRAMES (1m - 15m)
→ Ideal for: Scalping and very short-term trades
→ Expect: More signals, faster trades, requires active monitoring
→ Best for: Forex majors, liquid crypto pairs
→ Tip: Use Conservative sensitivity to reduce noise
✓ MID TIMEFRAMES (15m - 1H)
→ Ideal for: Intraday trading and day trading
→ Expect: Moderate signal frequency, 1-4 hour trade duration
→ Best for: Forex, indices, major crypto
→ Tip: Balanced sensitivity works well here
✓ HIGHER TIMEFRAMES (4H - Daily)
→ Ideal for: Swing trading and position trading
→ Expect: Fewer signals, higher-quality setups, multi-day trades
→ Best for: All instruments
→ Tip: Can use Aggressive sensitivity for more opportunities
INSTRUMENT COMPATIBILITY:
✓ FOREX MAJORS (EUR/USD, GBP/USD, USD/JPY, etc.)
→ Auto-detected or manually select "Forex Major"
→ Session filtering is highly valuable here
→ London/NY overlap generates best signals
✓ FOREX CROSSES (EUR/GBP, AUD/NZD, etc.)
→ Auto-detected or manually select "Forex Cross"
→ Slightly tighter stops applied automatically
→ Session weight reduced vs. majors
✓ CRYPTOCURRENCIES (BTC, ETH, SOL, etc.)
→ Auto-detected or manually select "Crypto"
→ Wider stops (1.8x multiplier) due to volatility
→ Session filtering less relevant (24/7 markets)
→ Works well on both spot and perpetual futures
✓ INDICES (S&P 500, NASDAQ, DAX, etc.)
→ Auto-detected or manually select "Index"
→ Session opens (NY, London) are important
→ Moderate stop widths applied
✓ COMMODITIES (Gold, Silver, Oil, etc.)
→ Auto-detected or manually select "Commodity"
→ Moderate stops and session awareness
→ Works well on both spot and futures
VISUAL ELEMENTS EXPLAINED
SIGNAL MARKERS:
The indicator offers 3 display styles (choose in settings):
• PREMIUM STYLE (Default)
→ Signal appears below/above candles with connecting line
→ Background panel with grade badge (LONG , SHORT , etc.)
→ Entry price displayed
→ Direction arrow pointing to entry candle
→ Most informative, best for detailed analysis
• MINIMAL STYLE
→ Simple dot marker with grade text next to it
→ Clean, unobtrusive design
→ Best for mobile devices or cluttered charts
→ Less visual noise
• CLASSIC STYLE
→ Diamond marker with grade badge below/above
→ Traditional indicator aesthetic
→ Good balance between info and simplicity
ALL STYLES INCLUDE:
→ Signal tooltips with complete trade plan details
→ Grade display (A+, A, or B)
→ Color coding (bright colors for A+, standard for A/B)
SIGNAL TOOLTIP CONTENTS:
When you hover over any signal marker, you'll see:
→ Signal direction and grade
→ Confluence score (actual points vs. required)
→ Reason for signal (divergence type, reversal pattern)
→ Complete trade plan (Entry, Stop, TP1, TP2)
→ Risk in ticks
→ Risk-to-reward ratios
→ Market conditions at signal (Pulse value, HTF status, Volume, Session)
TRADE LEVEL LINES:
When Trade Tracking is enabled:
• ENTRY LINE (Yellow/Gold)
→ Solid horizontal line at entry price
→ Shaded zone around entry (±ATR buffer)
→ Label showing entry price
→ Extends 20-25 bars into future
• STOP LOSS LINE (Orange/Red)
→ Dashed line at stop level
→ Label showing stop price and distance in ticks
→ Turns dotted and changes color after TP1 hit (breakeven implied)
→ Deleted when trade closes
• TAKE PROFIT 1 LINE (Blue)
→ Dotted line at TP1 level
→ Label showing price and R:R ratio (e.g., "1:1.0")
→ Turns solid and changes to green when hit
→ Deleted after TP1 hit
• TAKE PROFIT 2 LINE (Blue)
→ Solid line at TP2 level
→ Label showing price and R:R ratio (e.g., "1:2.0")
→ This is the "full win" target
→ Deleted when trade closes
OUTCOME MARKERS:
When trade milestones are reached:
• - Green label appears when first target is touched
• - Green label when second target is touched (trade complete)
• - Red label if stop loss hit before any target
• - Orange label if TP1 hit but then stopped out
PREVIOUS DAY LEVELS:
If enabled (Show Previous Day Levels):
• PDH (Previous Day High) - Solid red/orange line
→ Label shows "PDH: "
→ Useful resistance reference for intraday trading
• PDL (Previous Day Low) - Solid green line
→ Label shows "PDL: "
→ Useful support reference for intraday trading
BACKGROUND TINTS:
Subtle background colors indicate states:
→ Light green tint: Active long position being tracked
→ Light red tint: Active short position being tracked
→ Light orange tint: Extreme volatility warning (signals blocked)
DASHBOARD GUIDE
The indicator features TWO dashboard panels:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
MAIN DASHBOARD (Top Right by default)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
WHEN NO TRADE IS ACTIVE:
→ Bias: Current market bias (BULLISH, BEARISH, NEUTRAL, LEAN LONG/SHORT)
→ Based on Kinetic Pulse position and velocity
→ Helps you understand overall momentum direction
→ Pulse: Current Kinetic Pulse value (0-100 scale)
→ <30 = Oversold (potential long setups developing)
→ >70 = Overbought (potential short setups developing)
→ 40-60 = Neutral zone
→ Volatility: Current volatility regime (LOW, NORMAL, HIGH, EXTREME)
→ Calculated from ATR ratio vs. 100-period average
→ EXTREME volatility blocks all signals (too chaotic)
→ Trend: Market state classification
→ TREND UP / TREND DOWN: ADX > 25, directional movement clear
→ RANGING: ADX < 20, choppy conditions
→ TRANSITIONING: ADX 20-25, developing conditions
→ VOLATILE: Extreme ATR regime
→ Session: Current forex session
→ ASIAN (00:00-08:00 UTC)
→ LONDON (07:00-16:00 UTC)
→ NEW YORK (13:00-22:00 UTC)
→ LDN/NY (13:00-16:00 UTC) - Overlap period, highest volatility
→ OFF-HOURS: Outside major sessions
→ Volume: Current volume vs. 20-bar average
→ Displayed as multiplier (e.g., "1.45x" = 45% above average)
→ Green if >1.3x (high volume, bullish for signal quality)
→ Red if <0.8x (low volume, bearish for signal quality)
→ HTF: Higher timeframe analysis status
→ BULLISH: HTF momentum supports longs
→ BEARISH: HTF momentum supports shorts
→ NEUTRAL: No clear HTF direction
→ Best Score: Highest confluence score currently available
→ Shows both long and short scores
→ Format: " / "
→ Example: "8/7 " means long score is 8, threshold is 7, long is leading
→ Helps you anticipate which direction might signal next
→ PDH/PDL: Previous day high and low prices
→ Quick reference for intraday support/resistance
WHEN TRADE IS ACTIVE:
→ Trade: Direction and grade (e.g., "LONG ")
→ Entry: Entry price of current trade
→ P/L: Current profit/loss
→ Shown in ticks and R-multiples
→ Format: "+45 | +0.75R" or "-20 | -0.35R"
→ Green when positive, red when negative
→ TP1: First target status
→ Shows price and distance if not hit
→ Shows "HIT" in green if reached
→ TP2: Second target price and distance
→ Stop: Stop loss price and current distance from stop
→ Bars: Number of bars since entry (trade duration)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
TRADE ANALYSIS PANEL (Bottom Left by default)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
This panel provides algorithmic analysis of market conditions. It does NOT provide investment advice or recommendations.
WHEN NO TRADE IS ACTIVE:
Shows scanning status and signal readiness:
→ Long/Short Readiness Gauges
→ Visual bar showing proximity to signal threshold
→ Score display (e.g., "8/7" means 8 points scored, 7 needed)
→ "RDY" indicator when threshold reached
→ Status Messages
→ "Scanning for setups..." - Normal scanning mode
→ "Long setup ready - cooldown: X bars" - Signal qualified but in cooldown
→ "Oversold conditions - watch for reversal" - Setup developing
→ "Choppy conditions detected" - Warning about market state
→ "Extreme volatility - signals blocked" - Safety filter active
WHEN TRADE IS ACTIVE:
Header shows current analysis state:
→ FACTORS ALIGNED (Green) - Everything looks good, confidence 72+
→ POSITIVE BIAS (Light Green) - Conditions favorable, confidence 58-72
→ MIXED SIGNALS (Blue) - Neutral conditions, confidence 48-58
→ FACTORS WEAKENING (Orange) - Concerning signals, confidence 22-48
→ NEGATIVE BIAS (Red) - Poor conditions, confidence <22
Confidence Score:
→ Displayed as percentage (0-100%)
→ Visual gauge (|||||.....)
→ Trend indicator (Rising, Falling, Stable)
→ Shows momentum of confidence change
Factor Breakdown (if enabled):
Shows 6 factor categories with individual scores:
→ Momentum: Is momentum aligned with trade? (-15 to +15 points)
→ Positive if velocity matches trade direction
→ Negative if momentum opposes trade
→ Position: Current R-multiple analysis (-12 to +12 points)
→ Positive if trade is in profit
→ Negative if underwater
→ Score increases as profit grows
→ Volume: Is volume supportive? (-6 to +6 points)
→ Positive if volume above average
→ Negative if volume weak
→ HTF Align: Higher timeframe status (-6 to +8 points)
→ Positive if HTF still supports trade direction
→ Negative if HTF turned against trade
→ Target: Proximity to profit targets (0 to +10 points)
→ Higher score when approaching targets
→ Bonus if TP1 already hit and near TP2
→ Stop Dist: Distance from stop loss (-15 to +3 points)
→ Negative if dangerously close to stop (<0.3 ATR)
→ Positive if well away from stop (>1.5 ATR)
Each factor shows:
• Score value with +/- indicator
• Trend symbol: + (improving), - (deteriorating), = (stable)
• Visual gauge
Guidance Messages:
→ "TARGET 2 APPROACHING" - TP2 within 0.3 ATR
→ "TARGET 1 APPROACHING" - TP1 within 0.3 ATR
→ "STOP PROXIMITY WARNING" - Stop within 0.3 ATR
→ "Factors aligned - Holding" - Positive state, stay in trade
→ "Conditions favorable" - Still looking good
→ "Conditions mixed - " - Neutral assessment
→ "Factors deteriorating" - Warning of weakening setup
→ "Confluence weakening - secure gains" - Consider exit if profitable
COMPACT MODE (Mobile-Friendly):
→ Reduces panel size by showing only essential info
→ Factor icons instead of full breakdowns
→ Simplified guidance messages
→ Perfect for smaller screens
SETTINGS GUIDE
MASTER SETTINGS:
Instrument Type
→ Purpose: Optimizes ATR multipliers and session weights for your asset
→ Options: Auto-Detect (recommended), Forex Major, Forex Cross, Crypto, Index, Commodity
→ Default: Auto-Detect
→ When to change: If auto-detection is incorrect for your symbol
Signal Sensitivity
→ Purpose: Controls how many factors required before generating signals
→ Options:
• Conservative: Requires 12+ for A+, 9+ for A, 7+ for B (fewer, highest quality)
• Balanced: Requires 10+ for A+, 7+ for A, 5+ for B (recommended)
• Aggressive: Requires 8+ for A+, 5+ for A, 3+ for B (more frequent)
→ Default: Balanced
→ When to change: If you want fewer signals (Conservative) or more opportunities (Aggressive)
Enable Trade Signals
→ Purpose: Master on/off switch for signal generation
→ Default: ON
→ When to disable: If you only want to use the analysis dashboards without signals
Enable Trade Tracking
→ Purpose: Tracks active trades and monitors conditions until TP/SL hit
→ Default: ON
→ When to disable: If you manage trades manually and don't want automatic tracking
Show Entry/Stop/Target Levels
→ Purpose: Displays trade plan lines and labels on chart
→ Default: ON
→ When to disable: If you prefer clean charts or manage levels yourself
DISPLAY SETTINGS:
Color Theme
→ Purpose: Optimizes colors for your chart background
→ Options: Dark (for dark charts), Light (for light charts)
→ Default: Dark
Signal Display Style
→ Purpose: Visual style of signal markers
→ Options:
• Premium: Badge with line and background panel (most detailed)
• Minimal: Simple dot with grade text (cleanest)
• Classic: Diamond marker with badge (traditional)
→ Default: Premium
Signal Distance
→ Purpose: How far signal labels appear from price bars (in ATR units)
→ Range: 0.5 to 10.0
→ Default: 2.0
→ When to adjust: Increase to 3.0-4.0 if signals hide behind candle wicks
TP/SL Label Distance
→ Purpose: Spacing of price labels to prevent overlap
→ Range: 0.5 to 5.0
→ Default: 1.5
Show Previous Day Levels
→ Purpose: Display PDH/PDL reference lines
→ Default: ON
→ Best for: Intraday traders who respect previous day levels
MAIN DASHBOARD:
Show Main Dashboard
→ Purpose: Toggle visibility of market conditions table
→ Default: ON
Main Dashboard Position
→ Options: Top Right, Top Left, Bottom Right, Bottom Left
→ Default: Top Right
→ When to change: To avoid overlap with TradingView's built-in panels
TRADE ANALYSIS PANEL:
Show Trade Analysis Panel
→ Purpose: Toggle factor analysis dashboard
→ Default: ON
Analysis Panel Position
→ Options: Top Right, Top Left, Bottom Right, Bottom Left, Middle Right, Middle Left
→ Default: Bottom Left
→ Recommended: Bottom Right or Middle Right to avoid overlap with Main Dashboard
Compact Mode
→ Purpose: Reduces panel size for mobile or smaller screens
→ Default: OFF
→ When to enable: Mobile trading, small screens, or minimalist preference
Show Factor Details
→ Purpose: Displays individual factor scores vs. overall confidence only
→ Default: ON
→ When to disable: For more compact view showing only state and confidence
RISK MANAGEMENT:
Stop Loss Method
→ Purpose: How stop loss distance is calculated
→ Options:
• Structure-Based: Uses swing highs/lows with ATR buffer (recommended)
• ATR-Based: Pure ATR multiplier with min/max constraints
• Fixed ATR: Simple multiplier, no adjustments
→ Default: Structure-Based
→ Impact: Structure-Based respects market geometry but constrains within safe limits
ATR Stop Multiplier
→ Purpose: Multiplier for ATR-based stop calculation
→ Range: 0.5 to 3.0
→ Default: 1.5
→ When to adjust:
• Increase to 2.0-2.5 for more breathing room (fewer false stops)
• Decrease to 1.0-1.2 for tighter stops (but more stop-outs)
Maximum Stop Distance (ATR)
→ Purpose: Cap on stop width to prevent excessive risk
→ Range: 1.0 to 5.0
→ Default: 2.5
→ Impact: If structure-based stop exceeds this, ATR-based stop is used instead
Minimum Stop Distance (ATR)
→ Purpose: Floor on stop width to avoid noise-induced stops
→ Range: 0.2 to 1.0
→ Default: 0.5
→ Impact: Prevents stops too tight to survive normal volatility
Target 1 Risk/Reward Ratio
→ Purpose: R:R for first profit target
→ Range: 0.5 to 2.0
→ Default: 1.0 (1:1 ratio)
→ Common values: 1.0 for quick profit taking, 1.5 for patient trading
Target 2 Risk/Reward Ratio
→ Purpose: R:R for second profit target (full win)
→ Range: 1.0 to 4.0
→ Default: 2.0 (1:2 ratio)
→ Common values: 2.0-3.0 for balanced risk/reward
Minimum R:R Required
→ Purpose: Filters out signals with poor risk/reward
→ Range: 0.5 to 2.0
→ Default: 1.0
→ Impact: Signals where potential reward doesn't meet this ratio are rejected
→ WARNING: Always ensure your position sizing means a stop loss = no more than 1-2% of your account, regardless of R:R ratio
SIGNAL FILTERS:
Session Awareness
→ Purpose: Weights signals higher during major forex sessions
→ Default: ON
→ Impact: Doesn't block signals, but session quality factors into scoring
→ Best for: Forex traders
Session Timezone
→ Purpose: Timezone for session calculations
→ Options: UTC, America/New_York, Europe/London, Asia/Tokyo, Asia/Hong_Kong
→ Default: UTC
→ When to change: Match your broker's server time
Higher Timeframe Alignment
→ Purpose: Checks HTF momentum before generating signals
→ Default: ON
→ Impact: Filters counter-trend signals, improves quality
→ Recommended: Keep enabled
HTF Timeframe
→ Purpose: Which higher timeframe to check
→ Default: Auto (blank field)
→ Auto selection:
• 1m chart → 5m HTF
• 5m chart → 15m HTF
• 15m chart → 1H HTF
• 1H chart → 4H HTF
• 4H+ chart → Daily HTF
→ Manual override: Enter any timeframe (e.g., "60" for 1-hour)
Volume Confirmation
→ Purpose: Requires above-average volume for signals
→ Default: ON
→ Impact: Filters low-liquidity false signals
→ Recommended: Keep enabled
Minimum Volume Ratio
→ Purpose: Volume threshold vs. 20-bar average
→ Range: 0.3 to 2.0
→ Default: 0.8 (80% of average)
→ When to adjust:
• Increase to 1.2-1.5 for only high-volume signals
• Decrease to 0.5-0.7 for more permissive filtering
Structure Clearance Check
→ Purpose: Ensures clear path to targets (no nearby resistance/support)
→ Default: ON
→ Impact: Prevents trades with immediate obstacles
→ Recommended: Keep enabled
Minimum Bars Between Signals
→ Purpose: Cooldown period after each signal
→ Range: 1 to 10
→ Default: 3
→ Impact: After a signal, this many bars must pass before another in same direction
→ When to adjust:
• Increase to 5-7 to prevent over-trading
• Decrease to 1-2 for faster re-entries
ADVANCED TUNING:
Momentum Period
→ Purpose: Base period for Kinetic Pulse calculation
→ Range: 5 to 30
→ Default: 14
→ When to adjust:
• Lower (8-10): More responsive, noisier
• Higher (18-21): Smoother, slower to react
→ Note: If Adaptive Period enabled, this is adjusted automatically
Adaptive Period
→ Purpose: Auto-adjusts momentum period based on volatility
→ Default: ON
→ Impact: Shortens period in high volatility, lengthens in low volatility
→ Recommended: Keep enabled for automatic optimization
Divergence Lookback
→ Purpose: How far back to search for divergence patterns
→ Range: 10 to 60
→ Default: 30
→ When to adjust:
• Shorter (15-20): Only recent divergences
• Longer (40-50): Catches older divergences (may be less relevant)
Swing Detection Bars
→ Purpose: Bars required on each side to confirm swing high/low
→ Range: 2 to 7
→ Default: 3
→ Impact on stops:
• Lower (2-3): More swing points, potentially tighter stops
• Higher (5-7): Only major swings, wider stops
Choppiness Index Threshold
→ Purpose: Threshold above which market considered choppy
→ Range: 38.2 to 80.0
→ Default: 61.8
→ Impact:
• Lower (50-55): Stricter quality filter (fewer signals in ranging markets)
• Higher (65-70): More permissive (allows signals in choppier conditions)
HOW TO READ SIGNALS
SIGNAL ANATOMY:
When a signal appears, you'll see:
1. DIRECTIONAL MARKER
→ Arrow, dot, or diamond pointing to entry candle (depends on style)
→ Positioned below price for LONG, above price for SHORT
→ Connected to price with line (Premium style)
2. GRADE BADGE
→ Displays signal quality: LONG , SHORT , etc.
→ Color coding:
• Bright green/cyan for A+ longs
• Standard green for A/B longs
• Bright pink/magenta for A+ shorts
• Standard red for A/B shorts
3. ENTRY PRICE (Premium style only)
→ Shows exact entry price at signal generation
4. TOOLTIP (all styles)
→ Hover over signal to see complete trade plan
→ Includes: Entry, Stop, TP1, TP2, Risk, R:R ratios, market conditions, signal reason, confluence score
INTERPRETING GRADES:
→ A+ SIGNALS (Highest Quality)
• 8-12+ confirming factors aligned
• Multiple divergences OR strong momentum reversal
• HTF alignment + volume + session timing + clear structure
• These are your highest-probability setups
• Recommended action: Give these priority, consider larger position size
→ A SIGNALS (High Quality)
• 5-9+ confirming factors aligned
• Good confluence, most key factors present
• Missing 1-2 optimal conditions
• These are still quality trades
• Recommended action: Standard position size, solid setups
→ B SIGNALS (Moderate Quality)
• 3-7+ confirming factors aligned
• Minimum viable confluence
• May be missing HTF alignment, volume, or session timing
• Higher variance outcomes
• Recommended action: Smaller position size or skip if conservative
SIGNAL NARRATIVE:
Each signal tooltip includes a narrative explaining WHY it was generated:
→ "Multi-divergence at oversold extreme"
• Multiple oscillators showing bullish divergence
• Kinetic Pulse in oversold zone
• High-quality reversal setup
→ "Bullish divergence near support"
• Divergence detected
• Price near key support level (swing low or PDL)
• Structure confluence
→ "Momentum reversal with HTF alignment"
• Kinetic Pulse velocity reversing
• Higher timeframe supports direction
• Strong trend-following setup
→ "Oversold momentum reversal"
• Extreme Kinetic Pulse reading reversing
• May not have divergence but strong momentum shift
READING THE TRADE PLAN:
Every signal comes with a complete trade plan:
→ ENTRY: The close price of the signal candle
• This is where the signal triggered
• If using limit orders, you might improve on this price
→ STOP: Calculated stop loss level
• Based on your Stop Loss Method setting
• Distance shown in ticks
• Risk tolerance: Ensure this represents ≤1-2% of your account
→ TP1: First profit target
• Default: 1:1 risk-reward
• This is your partial profit or first exit
• Consider taking 50% off at TP1
→ TP2: Second profit target
• Default: 1:2 risk-reward
• This is your "full win" target
• Hold remaining position for this level
SIGNAL FREQUENCY EXPECTATIONS:
Frequency varies by timeframe, sensitivity, and market conditions:
→ AGGRESSIVE MODE
• Lower timeframes (1m-5m): 5-15 signals per day
• Mid timeframes (15m-1H): 2-5 signals per day
• Higher timeframes (4H-D): 1-3 signals per week
→ BALANCED MODE (Default)
• Lower timeframes: 3-8 signals per day
• Mid timeframes: 1-3 signals per day
• Higher timeframes: 2-5 signals per week
→ CONSERVATIVE MODE
• Lower timeframes: 1-4 signals per day
• Mid timeframes: 0-2 signals per day
• Higher timeframes: 1-3 signals per week
Note: Frequency also depends on market volatility and trending vs. ranging conditions.
Example - Kinetic Scalper Trade Sequence
Here's an example showing the complete trade lifecycle with all dashboard transitions, annotations, and descriptions.
INSTRUMENT & TIMEFRAME DETAILS
Symbol: Nifty 50 Index (NSE)
Date: December 15, 2025
Session: London session (active trading hours)
Instrument Type: Index (auto-detected)
TRADE SEQUENCE BREAKDOWN
SCREENSHOT 1: Pre-Signal Setup Building (Image 1)
Time: ~12:00-14:30 UTC+5:30(approx.)
Price Action: Uptrend showing signs of exhaustion near 26,200
Market State: Price at session highs
Main Dashboard (Top Right):
- Bias: LEAN SHORT
- Pulse: 58.9 (approaching overbought)
- Volatility: NORMAL
- Trend: TRANSITIONING
- Session: LONDON (favorable timing)
- Volume: 0.98x (slightly below average)
- HTF: BULLISH (caution for counter-trend)
- Best Score: 9/5 (Short score building)
- PDH/PDL: 26098.25 / 25938.95
Trade Analysis Panel (Bottom Left):
- Status: NO ACTIVE TRADE
- Long Score: 5/5 (RDY)
- Short Score: 9/5 (RDY)
- Panel Message: "Short pattern developing - score: 9"
Description :
Setup Development Phase: The indicator identifies a potential short opportunity as price reaches the previous day's high. The short confluence score has climbed to 9/15 points, meeting the 'Balanced' sensitivity threshold for a Grade B signal. Notice the 'LEAN SHORT' bias and the Kinetic Pulse reading of 58.9 approaching overbought territory. The Trade Analysis panel shows 'Short pattern developing' with 9/5 factors aligned. Key factors: momentum approaching reversal zone, price at resistance (PDH), and London session providing favorable conditions.
SCREENSHOT 2: Signal Generated & Trade Entered (Image 2)
Time: ~13:00 UTC+5:30 (signal bar)
Entry Price: 26,184.65
Signal Grade: Grade
Main Dashboard (Top Right):
- Trade: SHORT
- Entry: 26184.65
- P/L: 5.95 pts | +0.2R (early positive movement)
- TP1: 26157.00 (33.2 pts away)
- TP2: 26129.35 (60.84 pts away)
- Stop: 26212.30 (22.1 pts away)
- Bars: 1 (just entered)
Trade Analysis Panel (Bottom Left):
- Header: TRADE ANALYSIS
- Status Bar: "Conditions mixed - improving 57%"
- Confidence: 57% RISING
- Factor Breakdown:
- Momentum: -4 (velocity not yet aligned)
- Position: +4 (slight profit)
- Volume: +2 = (volume present)
- HTF Align: +2 = (not strongly aligned)
- Target: +0 - (far from TP)
- Stop Dist: +3 - (good distance)
- Bottom Status: "Conditions mixed - Monitoring"
- Disclaimer: "Analysis only - Not financial advice"
Description:
Signal Activation: A Grade A short signal triggers at 26,184.65 after the short confluence score reached qualifying levels. The indicator places a structure-based stop loss at 26,212.30 (27.65 points risk) with dual targets at 1:1 and 1:2 risk-reward ratios.
The Trade Analysis Panel immediately begins monitoring with an initial confidence score of 57% - classified as 'MIXED SIGNALS' but showing a 'RISING' trend. Factor analysis reveals: momentum not yet aligned (-4 points as price just reversed), position slightly favorable (+4 points already +0.2R), volume adequate (+2), HTF showing weak alignment (+2 as we're counter-trend), stop well-placed (+3), but targets still distant (0 points).
Notice how the Main Dashboard switches from market scanning mode to active trade tracking, now displaying entry price, live P/L in both points (5.95 pts) and R-multiples (+0.2R), and distances to all key levels. The analysis panel provides real-time factor scoring to help monitor trade health.
SCREENSHOT 3: TP1 Hit - Trade Performing Well (Image 3)
Time: ~14:20 UTC+5:30(approx)
Price: ~26,154 (TP1 zone)
Bars in Trade: 29
Main Dashboard (Top Right):
- Trade: SHORT
- Entry: 26184.65
- P/L: 30.85 pts | +1.12R (excellent progress)
- TP1: HIT (displayed in green)
- TP2: 26129.35 (24.44 pts away)
- Stop: 26212.30 (58.5 pts away - well protected)
- Bars: 29
Trade Analysis Panel (Bottom Left):
- Header: TRADE ANALYSIS
- Status Bar: "Multiple factors positive"
- Confidence: 78% RISING
- Factor Breakdown:
- Momentum: +8 = (ALIGNED)
- Position: +8 + (strong profit zone)
- Volume: +2 + (continued support)
- HTF Align: +8 = (now strongly aligned)
- Target: +10 + (TP1 achieved, approaching TP2)
- Stop Dist: +3 + (excellent cushion)
- Bottom Status: "Multiple factors positive"
- Visual State: Green background (FACTORS ALIGNED state)
Description:
Trade Execution Phase - First Target Achieved: After 29 bars , price reaches the first take-profit target at 26,157.00. The ' ' marker confirms partial profit taking. Current P/L shows +30.85 points (+1.12R), exceeding the initial 1:1 risk-reward.
The Trade Analysis Panel shows dramatic improvement - confidence has surged to 78% (FACTORS ALIGNED state) with most factors now positive:
- Momentum factor improved to +8 (velocity aligned with trade direction)
- Position factor at +8 (over +1R profit zone)
- HTF Align jumped to +8 (higher timeframe now confirming the move)
- Target factor maxed at +10 (TP1 achieved, TP2 within reach)
- Stop Distance at +3 (58.5 points cushion providing safety)
Notice the panel status displays 'Multiple factors positive' with a green-tinted background, indicating optimal trade conditions. The confidence trend shows 'RISING' suggesting continued momentum. With TP1 secured and only 24.44 points to TP2, the trade is well-positioned for a full 1:2R win.
SCREENSHOT 4: TP2 Reached - Trade Complete (Image 4)
Time: ~15:00+ UTC+5:30
Final Exit: 26,129.35 (TP2)
Final Result: Full TP2 win
Main Dashboard (Top Right):
- Bias: NEUTRAL (reverted to scanning mode)
- Pulse: 45.2 (returned to neutral zone)
- Volatility: NORMAL
- Trend: TREND DOWN (confirmed the move)
- Session: LONDON
- Volume: 1.26x (increased as move developed)
- HTF: BEARISH (fully aligned post-trade)
- Best Score: 5/5 (neutral after completion)
Trade Analysis Panel (Bottom Left):
- Status: NO ACTIVE TRADE (reverted)
- Long Score: 5/5 (RDY)
- Short Score: 5/5 (RDY)
- Panel Message: "Scanning - prime session active"
- Light blue/cyan background (back to scanning mode)
Description:
Trade Completion - Full Target Achieved: The short trade reaches its second take-profit target at 26,129.35, securing a complete 1:2 risk-reward win. The ' ' marker confirms the exit. Final results:
- Entry: 26,184.65
- Exit: 26,129.35
- Profit: 55.30 points (approximately +2.0R)
- Outcome: Full TP2 success
Post-Trade Analysis: After trade closure, the indicator automatically returns to market scanning mode. The Main Dashboard reverts to showing market conditions rather than trade metrics. Notice how the 'Trend' now displays 'TREND DOWN' - confirming the move we captured. Volume increased to 1.26x during the winning move, validating the signal quality.
The Trade Analysis Panel switches back to 'NO ACTIVE TRADE' status and resumes displaying long/short setup scores. The confidence-based factor monitoring was instrumental throughout the trade:
- Initial entry at 57% confidence (MIXED SIGNALS)
- Peak confidence of 78% at TP1 (FACTORS ALIGNED)
- Real-time factor updates helped confirm trade validity
This example demonstrates the indicator's complete workflow: setup identification → signal generation → entry execution → live trade monitoring → systematic exit at targets.
KEY FEATURES DEMONSTRATED
1. Dual Dashboard System
- Main Dashboard: Market conditions (scanning) → Trade metrics (active position)
- Analysis Panel: Setup scores (scanning) → Factor-based confidence (in-trade)
2. Visual Trade Management
- Color-coded entry zones (yellow)
- Risk levels clearly marked (red dashed stop)
- Profit targets with R:R ratios labeled
- Achievement markers ( , )
3. Real-Time Factor Analysis
- 6-factor scoring system (Momentum, Position, Volume, HTF, Target, Stop Dist)
- Confidence percentage with trend indicators
- State machine (MIXED → FACTORS ALIGNED)
- Hysteresis prevents false state changes
4. Risk Management
- Structure-based stop placement (respects swing highs)
- Multiple take-profit levels (1:1 and 1:2 R:R)
- Live P/L tracking in points and R-multiples
- Distance monitoring to all key levels
This complete example showcases the indicator's progression from setup identification through trade completion, demonstrating how the dual-dashboard system and factor-based analysis provide continuous trade guidance. The structured stop-loss and dual-target approach delivered the planned 1:2 risk-reward ratio with systematic, rule-based execution.
ALERT SYSTEM
The indicator includes 9 built-in alert conditions:
SIGNAL ALERTS:
→ High-Grade Long Signal (A+)
• Triggers only on A+ long signals
• For traders who want only the highest-quality longs
• Message: "KINETIC SCALPER: LONG @ "
→ High-Grade Short Signal (A+)
• Triggers only on A+ short signals
• For traders who want only the highest-quality shorts
• Message: "KINETIC SCALPER: SHORT @ "
→ Long Signal
• Triggers on ANY qualified long signal (A+, A, or B)
• For traders who want all long opportunities
• Message: "KINETIC SCALPER: LONG @ "
→ Short Signal
• Triggers on ANY qualified short signal
• For traders who want all short opportunities
• Message: "KINETIC SCALPER: SHORT @ "
TRADE MANAGEMENT ALERTS:
→ TP1 Hit
• Triggers when first profit target is reached
• Useful for partial profit taking notifications
• Message: "KINETIC SCALPER: TP1 REACHED"
→ TP2 Reached
• Triggers when second profit target is reached
• Trade is complete, full win achieved
• Message: "KINETIC SCALPER: TP2 REACHED"
→ Stop Loss Hit
• Triggers when stop loss is reached
• Important for trade management and risk tracking
• Message: "KINETIC SCALPER: STOP LOSS"
ANALYSIS STATE ALERTS:
→ Analysis State: Negative Bias
• Triggers when factor analysis enters "Negative Bias" state
• Warning that trade conditions are deteriorating
• Consider reducing position or preparing to exit
• Message: "KINETIC SCALPER: Analysis state changed to NEGATIVE BIAS"
→ Analysis State: Factors Weakening
• Triggers when factor analysis enters "Factors Weakening" state
• Caution that confluence is diminishing
• Monitor trade closely
• Message: "KINETIC SCALPER: Analysis state changed to FACTORS WEAKENING"
HOW TO SET UP ALERTS:
1. Click the "Create Alert" button in TradingView
2. Condition: Select "Kinetic Scalper "
3. Choose your desired alert from the dropdown
4. Configure your alert options:
→ Once Per Bar Close (recommended for non-repainting)
→ Frequency: Once Per Bar Close or Only Once
5. Set expiration and notification methods (popup, email, webhook, etc.)
6. Create alert
RECOMMENDED ALERT STRATEGY:
For active traders:
→ Set "Long Signal" and "Short Signal" alerts for all opportunities
→ Set "TP1 Hit", "TP2 Reached", and "Stop Loss Hit" for trade management
→ Consider "Analysis State: Negative Bias" for trade monitoring
For selective traders:
→ Set only "High-Grade Long Signal (A+)" and "High-Grade Short Signal (A+)"
→ Focus on the absolute highest-quality setups
→ Set TP/SL alerts for position management
USAGE TIPS & BEST PRACTICES
SIGNAL SELECTION:
✓ GRADE MATTERS
→ A+ signals have statistically more confluence factors
→ If you're conservative, trade only A+ signals
→ B signals can work but require more discretion
✓ CONFLUENCE WITH YOUR ANALYSIS
→ Use this indicator as CONFIRMATION, not sole decision criteria
→ Combine with your own support/resistance analysis
→ Check for fundamental events (news, economic data)
→ Respect major round numbers and psychological levels
✓ SESSION TIMING (Forex)
→ Best signals often occur during London/NY overlap
→ Avoid signals 10 minutes before major news releases
→ Asian session signals can be valid but lower liquidity
✓ TIMEFRAME CONFLUENCE
→ If you get an A+ signal on 15m, check if 1H chart agrees
→ Higher timeframe confirmation adds conviction
→ Avoid signals that oppose the daily/4H trend
TRADE MANAGEMENT:
✓ POSITION SIZING
→ ALWAYS size positions so stop loss = 1-2% of account
→ Never risk more than you can afford to lose
→ Smaller position on B signals, standard on A, larger on A+ (within limits)
✓ PARTIAL PROFIT TAKING
→ Consider taking 50% off at TP1
→ Move stop to breakeven after TP1 hit
→ Let remaining position run to TP2
✓ TRAILING STOPS
→ The indicator doesn't auto-trail stops (manual decision)
→ After TP1, you might manually move stop to entry (breakeven)
→ Consider ATR-based trailing stop for runners
✓ WATCH THE ANALYSIS PANEL
→ If state changes to "Factors Weakening" while in profit, consider exit
→ "Negative Bias" during a trade is a strong warning
→ "Factors Aligned" confirms your trade thesis is still valid
RISK MANAGEMENT:
✓ NEVER IGNORE STOPS
→ The calculated stop is there for a reason
→ Moving stop further away increases risk exponentially
→ If stopped out, accept it and wait for next setup
✓ AVOID REVENGE TRADING
→ If you get stopped out, resist urge to immediately re-enter
→ Signal cooldown helps with this
→ Wait for next qualified signal
✓ RESPECT VOLATILITY WARNINGS
→ If indicator shows "EXTREME" volatility, signals are blocked for a reason
→ Don't force trades in chaotic conditions
→ Wait for regime to normalize
✓ CORRELATION RISK
→ Be aware of correlation if trading multiple pairs
→ EUR/USD and GBP/USD are highly correlated
→ Don't stack risk on correlated instruments
OPTIMIZATION:
✓ START WITH DEFAULTS
→ Default settings are well-tested
→ Don't over-optimize for recent market behavior
→ Give settings at least 20-30 trades before judging
✓ TIMEFRAME-SPECIFIC ADJUSTMENTS
→ Lower timeframes: Consider increasing Signal Distance to 3.0-4.0
→ Higher timeframes: ATR Stop Multiplier might go to 2.0-2.5
→ Crypto: Ensure Instrument Type is set to "Crypto" for proper stops
✓ SENSITIVITY CALIBRATION
→ Too many signals? Switch to Conservative
→ Missing good setups? Try Balanced or Aggressive
→ Quality > Quantity always
✓ KEEP A JOURNAL
→ Track which signal grades work best for you
→ Note which sessions produce best results
→ Review stopped trades for patterns
THINGS TO AVOID:
✗ DON'T chase signals after several bars have passed
✗ DON'T ignore the stop loss or move it further away
✗ DON'T overtrade by taking every B-grade signal
✗ DON'T trade during major news if you're not experienced
✗ DON'T use this as your only analysis tool
✗ DON'T expect 100% win rate (no indicator has this)
✗ DON'T risk more than 1-2% per trade regardless of signal grade
UNDERSTANDING THE METHODOLOGY
WHY VOLUME WEIGHTING?
Traditional momentum oscillators treat all price moves equally. A 10-point move on low volume is weighted the same as a 10-point move on high volume.
The Kinetic Pulse corrects this by:
→ Calculating volume ratio vs. 20-bar average
→ Applying square root transformation to volume ratio (prevents extreme weights)
→ Multiplying price changes by volume weight
→ Result: High-volume moves influence the oscillator more than low-volume noise
This helps filter false breakouts and emphasizes moves with participation.
WHY FISHER TRANSFORM?
Fisher Transform is a mathematical transformation that:
→ Normalizes probability distributions
→ Creates sharper turning points
→ Amplifies extremes while compressing the middle
→ Makes overbought/oversold levels more distinct
Applied to the Kinetic Pulse, it helps identify genuine extremes vs. noise.
WHY MULTI-OSCILLATOR DIVERGENCE?
Single-source divergence can give false signals. By requiring divergence confirmation across multiple oscillators (Kinetic Pulse, CCI, Stochastic), the system filters out:
→ Divergences caused by calculation quirks in one oscillator
→ Temporary momentum anomalies
→ False divergence on noisy, low-timeframe charts
Multiple sources confirming the same pattern increases reliability.
WHY ADAPTIVE PERIODS?
Fixed periods can be:
→ Too slow during high volatility (miss fast reversals)
→ Too fast during low volatility (generate noise)
The adaptive system:
→ Shortens period when ATR ratio > 1.3 (high volatility = need faster response)
→ Lengthens period when ATR ratio < 0.7 (low volatility = need noise filtering)
→ Keeps period in reasonable range (60% to 140% of base period)
→ Result: Oscillator adjusts to current market pace automatically
WHY HYSTERESIS IN STATE MACHINE?
Without hysteresis, the analysis state would flip-flop on every bar, creating:
→ Confusing, contradictory guidance
→ Analysis paralysis
→ Lack of actionable information
Hysteresis solves this by:
→ Using different thresholds to ENTER vs. EXIT a state
→ Example: Enter "Factors Aligned" at 72+ confidence, but don't exit until <62
→ This creates stable states that persist through minor fluctuations
→ Requires minimum commitment period (3 bars) before state changes
→ Overrides commitment for significant events (near TP/SL)
→ Result: Stable, trustworthy analysis that changes only when truly warranted
WHY CONFIDENCE SMOOTHING?
Raw factor scores fluctuate bar-by-bar based on momentary conditions. Smoothing:
→ Uses 5-period EMA on raw confidence scores
→ Filters out single-bar anomalies
→ Preserves genuine trends in confidence
→ Prevents false state transitions
→ Result: More reliable assessment of actual trade health
WHY INSTRUMENT-SPECIFIC PARAMETERS?
Different instruments have different characteristics:
→ Forex is highly liquid, respects technical levels well, standard ATR works
→ Crypto is extremely volatile, needs wider stops (1.8x) to avoid false stops
→ Indices respect session opens strongly, session weighting is important
→ Commodities fall in between
Auto-detection applies research-based multipliers automatically.
WHY STRUCTURE-BASED STOPS?
ATR-based stops can:
→ Place stop in middle of consolidation (easily hit)
→ Ignore obvious invalidation levels
→ Be too tight during expansion or too wide during contraction
Structure-based stops:
→ Use actual swing highs/lows (where traders actually place stops)
→ Add small ATR buffer to avoid stop hunting
→ Constrain within min/max ATR limits for safety
→ Result: Stops that respect market geometry while managing risk
DISCLAIMER & RISK WARNING
READ THIS CAREFULLY BEFORE USING THIS INDICATOR
This indicator is provided for EDUCATIONAL and INFORMATIONAL purposes only.
❌ NOT FINANCIAL ADVICE
This indicator does NOT constitute financial advice, investment recommendations, or solicitation to buy or sell any financial instrument. All information is for educational purposes only.
❌ NO GUARANTEES
→ Past performance does NOT guarantee future results
→ No indicator can predict future price movements with certainty
→ Signal grades represent confluence, NOT win probability
→ A+ signals can lose, B signals can win - markets are probabilistic
❌ SUBSTANTIAL RISK
Trading financial instruments involves SUBSTANTIAL RISK of loss:
→ You can lose your entire investment
→ Leveraged trading amplifies both gains AND losses
→ Never trade with money you cannot afford to lose
→ Never risk more than 1-2% of your account per trade
❌ YOUR RESPONSIBILITY
→ All trading decisions are YOUR responsibility
→ You must conduct your own analysis before entering trades
→ Consult a licensed financial advisor before trading
→ Understand the risks specific to your jurisdiction and situation
→ Only trade with capital you can afford to lose completely
❌ NO HOLY GRAIL
→ This indicator is a TOOL, not a complete trading system
→ It should be used as part of a broader analysis framework
→ Combine with your own technical analysis, risk management, and judgment
→ No indicator works 100% of the time in all market conditions
❌ ANALYSIS PANEL DISCLAIMER
The "Trade Analysis Panel" provides ALGORITHMIC ANALYSIS of market factors.
→ It does NOT provide investment advice or recommendations
→ Factor scores are mathematical calculations, not predictions
→ Guidance messages are informational, not directives
→ All trading decisions remain your responsibility
❌ BACKTESTING LIMITATIONS
→ This is an indicator, not a strategy, so no backtesting results are provided
→ Any backtesting you perform includes hindsight bias and optimization bias
→ Historical performance does not indicate future performance
→ Slippage, commissions, and real-world execution differ from backtests
❌ MARKET CONDITIONS
→ This indicator performs differently in trending vs. ranging markets
→ Extreme volatility can produce false signals or whipsaws
→ Low liquidity periods increase execution risk
→ Major news events can invalidate technical analysis
BY USING THIS INDICATOR, YOU ACKNOWLEDGE:
→ You have read and understood this disclaimer
→ You accept full responsibility for your trading decisions
→ You understand the substantial risks involved in trading
→ You will not hold the author liable for any losses incurred
→ You are using this tool as part of your own due diligence process
KEY FEATURES SUMMARY
✅ Volume-Weighted Kinetic Pulse Engine (proprietary momentum calculation)
✅ 15-Factor Confluence Scoring System (graded signals: A+, A, B)
✅ Multi-Oscillator Divergence Detection (Pulse + CCI + Stochastic)
✅ Higher Timeframe Trend Alignment Filter
✅ Adaptive Period Adjustment (volatility-responsive)
✅ Instrument-Aware Calibration (Forex, Crypto, Indices, Commodities)
✅ Structure-Based Stop Loss Calculation (respects swing highs/lows)
✅ Automated Trade Tracking (entry, stop, TP1, TP2, P/L)
✅ Real-Time Factor Analysis State Machine (5-state system with hysteresis)
✅ Session Awareness (Asian, London, New York, Overlap)
✅ Volatility Regime Detection (blocks signals in extreme conditions)
✅ Choppiness Filter (reduces signals in ranging markets)
✅ Volume Confirmation (relative volume and delta analysis)
✅ Clean Air Check (validates clear path to targets)
✅ Comprehensive Dashboards (market conditions + trade analysis)
✅ Customizable Display (3 signal styles, color themes, positioning)
✅ 9 Built-In Alert Conditions (signals, TP/SL hits, state changes)
✅ Fully Non-Repainting (barstate.isconfirmed, lookahead_off)
✅ Previous Day Levels (PDH/PDL reference lines)
✅ Mobile-Friendly Compact Mode (for smaller screens)
TECHNICAL SPECIFICATIONS
→ Pine Script Version: v6
→ Indicator Type: Overlay (displays on price chart)
→ License: Mozilla Public License 2.0
→ Copyright: BULLBYTE
→ Object Limits: 300 labels, 100 lines, 50 boxes
→ Memory Management: Automatic cleanup system (FIFO queue)
→ Repainting: Non-repainting (signals confirmed on bar close)
→ Timeframe Support: All timeframes (1s to Monthly)
→ Instrument Support: Forex, Crypto, Indices, Commodities, Stocks
→ HTF Data Handling: lookahead_off with historical offset
VERSION HISTORY
v1.0 - Initial Release
→ Kinetic Pulse engine with volume weighting and Fisher Transform
→ 15-factor confluence scoring system
→ Trade analysis state machine with hysteresis
→ Automated trade tracking and monitoring
→ Dual dashboard system (market conditions + factor analysis)
→ 9 alert conditions
→ 3 signal display styles
→ Instrument-aware calibration
→ Full risk management framework
WHO IS THIS INDICATOR FOR?
IDEAL FOR:
✓ Scalpers and day traders seeking high-confluence reversal entries
✓ Swing traders who want quality over quantity
✓ Traders who appreciate systematic, rules-based analysis
✓ Multi-timeframe traders who value HTF confirmation
✓ Forex traders who respect session timing
✓ Crypto traders needing volatility-adjusted parameters
✓ Traders who want complete trade management (entry, stop, targets)
✓ Analytical traders who want transparency in signal generation
NOT IDEAL FOR:
✗ Traders seeking a "set and forget" holy grail system
✗ Traders who don't want to learn the methodology
✗ Traders unwilling to accept losing trades as part of the process
✗ Traders who need constant signals (this is a quality-focused system)
✗ Traders who ignore risk management
FINAL THOUGHTS
The Kinetic Scalper is the result of extensive research into momentum behavior, volume confirmation, and multi-factor confluence analysis. It's designed to identify high-probability reversal setups while maintaining strict risk management and providing complete transparency.
This is NOT a magic solution. It's a sophisticated TOOL that requires:
→ Understanding of the methodology
→ Proper risk management discipline
→ Patience to wait for quality setups
→ Willingness to accept losses as part of trading
→ Integration with your own analysis and judgment
Used properly as part of a complete trading plan, the Kinetic Scalper can help you identify high-confluence opportunities and manage trades systematically.
Remember: Quality over quantity. Discipline over emotion. Risk management over everything.
Trade smart. Trade safe.
© 2025 BULLBYTE | Kinetic Scalper v1.0 | For Educational Purposes Only
Session ATR Progression Tracker📊 Session ATR Progression Tracker - SIYL Regression Trading Tool
Track how much of your instrument's 7-day Average True Range (ATR) has been covered during the current trading session. This indicator is specifically designed for regression traders who follow the "Stay In Your Lane" (SIYL) methodology, helping you identify when the probability of mean reversion significantly increases. If you are interested in more on that check out Rod Casselli and tradersdevgroup.com.
🎯 Key Features:
• Real-time ATR Coverage Percentage - See at a glance what percentage of the 7-day ATR has been covered in the current session
• SIYL-Optimized Thresholds - See at a glance when the instrument has achieved 80% and 100% ATR coverage, the proven thresholds where mean reversion probability increases (customizable)
• Flexible Session Modes:
- Daily: Resets at calendar day change
- Session: Uses exchange-defined trading sessions
- Custom Session: Set your exact session start/end times (perfect for futures traders and international markets)
• Visual Alerts - Color-coded display (gray → orange → red) and optional background highlighting
• Repositionable Display - Choose from 9 screen positions to avoid chart clutter
• Session Markers - Green triangles mark the start of each new session
• Detailed Stats - View current range, ATR value, session high/low, and session status
💡 Why Use This Indicator?
This tool is built around a proven concept: regression trading becomes significantly more effective once a session has achieved at least 80% of its 7-day ATR. At this threshold, the probability of price reverting to mean increases substantially, creating higher-probability trade setups for SIYL practitioners.
Benefits for regression traders:
- Identify optimal entry points when mean reversion probability is highest (≥80% ATR coverage)
- Avoid premature regression entries before adequate range has been established
- Recognize when daily moves have "earned their range" and are ripe for reversal
- Time fade-the-move and counter-trend strategies with statistical backing
- Improve win rates by trading only after proven probability thresholds are met
⚙️ Setup Instructions:
1. Add the indicator to your chart
2. Select your preferred "Reset Mode" (recommend "Custom Session" for futures/international markets)
3. If using Custom Session, enter your session times in 24-hour format (e.g., 0930-1600 for US stocks, 1700-1600 for CME futures)
4. Adjust alert thresholds if desired (default: 80% and 100% - proven SIYL thresholds)
5. Position the display where it's most visible on your chart
📈 Works Across All Markets:
Stocks • Futures • Forex • Indices • Crypto • Commodities
Perfect for regression traders, mean reversion specialists, and SIYL practitioners who want to trade with probability on their side by entering only after the session has "earned its range."
---
Tip: For futures contracts with overnight sessions that span calendar days (like MES, MNQ, MYM), use "Custom Session" mode with your exchange's official session times for accurate tracking.
Chartology Strategy+🔍 Chartology Strategy+
This tool provides a comprehensive way for users to analyze trend levels and access other Matrix features across selected tickers and timeframes. Results can be tailored by strategy, with the option to filter displayed tickers based on custom user‑defined rules.
Bullish & Bearish Entry Signal (Safe & Scalping).
Entry Level, SL, T-SL & Two TP Levels (Based on Possible Movement).
Dashboard Table for Easy Presentation of All Levels.
Timeframe Scanner for Current Signal (Trend) on Different Timeframes.
Gap Up & Gap Down for Untraded Price Marking.
Institutional Candles for High Volume and Big Price Movement.
Neutral Candle for Low Volume and Small Price Movement.
Supply Demand (Based on Swing High & Low).
Mega Trend Band (Based on HMA) for Overall Trend.
🟢 Bullish & Bearish Entry Signals
Shows the expected direction of the symbol. It shows Bullish and Bearish direction mark on Chart. Entry Level is Closing of the Candle.
Input Settings
Signal Type: Safe
Appears after a proper trend confirmation.
Low frequency, fewer signals, but more reliable.
Best for swing traders who want strong confirmation before entering.
Signal Type: Scalping
Appears frequently during small downward moves.
High frequency, quick signals for short-term trades.
Best for intraday
Traders who want multiple opportunities in small movements.
🎯 Entry Level, SL, T-SL & TP Levels
Generated based on price movement and trend range.
Levels on Chart
Entry Level: Closing price of the candle where the signal appears.
SL (Stop Loss): Maximum risk allowed for the trade.
TSL (Trailing SL): Dynamic SL to reduce risk and lock profits.
Level 01: First TP level with 1:1 risk-reward ratio. Used for partial booking.
Level 02: Final TP level for full exit.
Input Settings
Levels: You can Increase or Decrease Level Amount for the Level 2.
Risk: You can Increase or Decrease Stop Loss (SL).
📊 Dashboard Table for Easy Presentation of All Levels.
Displays all key levels and metrics in one place:
Metrics
Symbol Name Shows the name of the current chart (e.g., NIFTY, BANKNIFTY).
Bar Age Displays the How many candles (Bars) before Latest signal appears.
Entry Shows the entry level where the latest bullish or bearish signal was generated.
Level 1 (TP1) First target level, based on 1:1 risk-reward ratio. Used for partial booking to secure profits.
Level 2 (TP2) Final target level where you can exit the remaining position.
SL (Stop Loss) Shows the maximum risk limit for the trade. Helps you control losses.
MTM (Mark to Market) Shows the difference between CMP and Entry Level. Helps track how far price has moved since entry.
P&L (Profit & Loss) Shows the difference between Entry and Target Level achieved. Helps measure actual gain or loss.
Date & Time Displays when the latest bullish or bearish signal was generated. Helps check how old or fresh the signal is.
Timeframe Scanner or Current Signal (Trend) on Different Timeframes. Shows the current signal across multiple timeframes.
Row 1 Fixed signals for 1M and 3M.
Row 2 Any 2 Custom Timeframes chosen in input settings.
Traders use this to confirm signals across different timeframes before entering trades. Example If the Day trend is bullish but the 15M chart shows bearish, many traders avoid that trade.
🚦 Gap Up & Gap Down for Untraded Price Marking.
Marks untraded price zones where price may react.
Gap Up & Down Flag Mark
Gap Up: Bullish Bias, Marked Green flag, plotted when candle opens above previous high.
Gap Down: Bearish Bias, Marked as Red flag, plotted when candle opens below previous low.
Input Settings
Enable / Disable from Chart
Threshold: Minimum gap size Threshold to detect
🟡 Institutional Candles for High Volume and Big Price Movement
Indicate strong price movement with high volume.
Marking
Displayed as Yellow Body Candles
Helps identify zones where big players are active.
Input Settings
Enable / Disable from Chart
Body %: Compare of Open & Close with High & Low
Size %: Compare Total Candle Size from Past Range
Volume %: Compare Total Candle Volume from Past Range
⚪ Neutral Candle for Low Volume and Small Price Movement
Shows low volume and minimal price movement.
Marking
Displayed as Hollow Body Candles
Traders usually avoid trading during these candles.
Input Settings
Enable / Disable from Chart.
Candle %: Compare Size of candles.
Volume %: Compare Volume of Candles from Previous Range.
🟥🟩 Supply Demand Zones (Based on Swing High & Low).
Based on swing highs and lows to identify possible reversals.
Zones
🟥Supply Zone: Near swing high, marked with Light Red Zone.
🟩Demand Zone: Near swing low, marked with Light Green Zone.
Input Settings:
Bars Left: How many past Bars Swing will Calculate.
Bars Right: After How many Bars, Zone will plot.
Max Zones: Number of Supply or Demand Zone want to plot on Chart
Delete Breaked Zones: Want to see Disappeared Zone, Uncheck it.
Extend Right: Want to see till End of the Chart, Uncheck it.
📈 Mega Trend Band (Based on HMA) for Overall Trend
Based on HMA (Hull Moving Average) to show overall trend and Help in Filters out trades against the main trend.
Working
Price above band → Bullish trend
Price below band → Bearish trend
Input Setting
Enable / Disable from Chart
HMA Period Setting: 45
👓 How to Use All together for Better Confidence.
🔍Watch for the New Entry icon on the chart.
Find New Signals with help of Automated Alerts.
Check Entry Level, SL, Level 1 and Level 2 (TP2).
Verify Date & Time → how fresh the signal is. Signal not too old.
🧭 Signal is not Self Sufficient for Good Accuracy. So, we suggest a few rules.
Cross‑Check Current Signal with Timeframe Scanner. Trade only when smaller timeframe aligns with bigger trend. (e.g., If Day = Bullish ▲ but 15M = Bearish ▼, avoid entry. Trend may not be stronger.)
Validate with Market Context of Gap. (e.g., If new signal came on Gap Up / Gap Down, avoid entry. Price may reverse.)
Zone Awareness Use Supply Demand zones to refine entries/exits and avoid false signals. (e.g., Entry: If any zone is available between Entry and Level 01, Avoid trade until Zone breaked, Exit: If Zone create between the trade, modify SL according to T-SL and wait.
Trend Filter of overall direction. (e.g., If Mega Trend Band Bullish and Trend is Bearish, Avoid the Trade.)
🕵🏻 Quick Checklist Before Trade
Bullish or Bearish signal?
Dashboard Table shows fresh entry?
SL defined and acceptable risk?
Timeframe Scanner aligned?
No Neutral candle interference?
Institutional candle or Gap supports move?
Supply/Demand zone not against trade?
✅ All Okay - Go for the ENTRY
Set a Proper Entry Point
Always respect SL, Good Trader Never avoid it.
Book partial profits at Level 1, It secure your Trade.
Keep Modifying your SL, According to T-SL Level.
On Level 2, Exit remaining All position for full profit.
📊 Healthy Trading Tips
Risk Small: Never risk more than 1–2% per trade.
Size Smart: Adjust position size to volatility and account size.
Diversify: Don’t put all money in one asset/sector.
Plan Ahead: Set entry, exit, and stop‑loss before trading.
Trade Less: Focus on quality setups, avoid overtrading.
Use Both Analyses: Combine technical charts with fundamental news/events.
Control Emotions: Stick to strategy, avoid fear/greed.
Journal Trades: Record reasons, outcomes, and lessons.
Stay Informed: Track economic calendars and global events.
Take Breaks: Step away after wins/losses to reset.
🎯 Advanced Discipline
Partial Exit: Book profits in stages (e.g., 50% at 1:1, 50% at Final Level).
Check News: Avoid trading during major announcements.
No Tweaks: Don’t change plan mid‑trade; wait for SL/TP.
Fixed Rules: Trade with fixed risk, fixed gains.
No Averaging Losses: Close bad trades, don’t add more.
Keep Learning: Evolve strategy with market changes.
Believe: Trust your plan and process.
Backtest: Practice setups until they’re second nature.
Daily Routine: Pre‑market Preparation, post‑market review.
Optimize Setup: Clean workspace, fast platform, no distractions.
Track Metrics: Win rate, average reward, expectancy, time of day, setup performance.
Trader Identity: Follow rules; money is a byproduct.
Liquidity Check: Avoid low‑volume instruments.
Respect Trend: Trade with momentum, not against it.
Avoid Over‑Leverage: Keep leverage low, avoid margin unless planned.
Risk Disclaimer
This content, including any tools, software, datafeeds, indicators, or scanners, is provided strictly for charting, educational, informational, and paper‑trading purposes only. It does not constitute investment advice, buy/sell recommendations, or real‑money trading strategies.
Not Advisors: We are not registered as investment advisors or research analysts.
Charting Only: Use is limited to testing strategies and evaluation; any application to real trading is at the user’s sole risk.
No Liability: No liability is accepted for financial loss, trading loss, or damages arising from use of the tools or data.
Data Limitations: Market data may be delayed, inaccurate, or incomplete. Past or hypothetical performance is not indicative of future results.
Signals Disclaimer: Automated signals are for evaluation only and should not be treated as accurate or real trading instructions.
High Risk: Trading and investing involve substantial risk and can result in losses beyond the initial capital.
Independent Judgment: Users must exercise independent judgment and consult licensed professionals before making financial decisions
⚠️ Final Note: Trading is speculative and may not be suitable for all investors. Use only risk capital and never invest money you cannot afford to lose.
✅ Always remember🧠 my 3R Rule💡: If the money💰 is yours then, RISK⚖️, REWARD🏆 and REGRET😔 are solely yours. 🔥
Reversal Signal by Vahid.jafarzadehReversal Signal by Vahid.j is a technical analysis tool designed to identify potential market turning points using a combination of Donchian channels, Fibonacci levels, and multi-oscillator divergences. This indicator calculates dynamic support and resistance levels based on recent highs and lows, applies key Fibonacci retracement zones, and evaluates divergences across multiple oscillators including RSI, MACD, Momentum, CCI, OBV, Stochastic, DI Oscillator, VWMA, CMF, and MFI.
Signals are displayed as bull 🐂 and bear 🐻 icons on the chart to indicate potential buy and sell zones. The indicator also tracks the cumulative divergence count, offering a quantitative perspective of market strength and trend reversal probability.
Alerts can be set for both bullish and bearish signals, enabling timely entries and exits based on divergence and Donchian-Fibonacci confluence.
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فارسی :
سیگنال بازگشت توسط Vahid.j یک ابزار تحلیل تکنیکال است که برای شناسایی نقاط احتمالی تغییر جهت بازار طراحی شده و از ترکیبی از کانالهای دونچیان، سطوح فیبوناچی و واگرایی چند نوسانگر استفاده میکند. این اندیکاتور سطوح حمایت و مقاومت پویا را بر اساس بالاترین و پایینترین قیمتهای اخیر محاسبه کرده، سطوح کلیدی فیبوناچی را اعمال میکند و واگراییها را در چندین نوسانگر شامل RSI، MACD، مومنتوم، CCI، OBV، استوکاستیک، DI اسیلاتور، VWMA، CMF و MFI ارزیابی میکند.
سیگنالها به صورت آیکون گاو 🐂 و خرس 🐻 روی چارت نمایش داده میشوند تا مناطق خرید و فروش احتمالی را نشان دهند. همچنین این اندیکاتور تعداد واگراییهای تجمعی را ردیابی میکند و دید کمی نسبت به قدرت بازار و احتمال بازگشت روند ارائه میدهد.
امکان فعالسازی آلارم برای سیگنالهای صعودی و نزولی وجود دارد تا بر اساس همگرایی واگرایی و سطوح دونچیان-فیبوناچی، ورود و خروجهای به موقع انجام شود
Supply & Demand - Trading Vidhyalaya (Free)A powerful script that automatically plots Supply and Demand zones on your chart. Designed to help traders identify potential reversal areas with precision.
Free Version Capabilities:
Works exclusively on the Daily (1D) Timeframe.
Includes Wick & Strong validation logic.
📍 Pinpoint accurate reversals.
🔔 Real-time alerts for Daily zones.
📉 "Touched" zone logic to keep your chart clean.
Want to use this on Intraday Charts? The Premium version supports ALL Timeframes (1m to Monthly) and includes Multi-Timeframe (MTF) overlay capabilities.
GoldHook Reversal ProGoldHook Reversal Pro v7 is an advanced market structure indicator designed to identify high-probability turning points. It automatically detects where price is accumulating—and monitors for specific momentum shifts that signal a valid Breakout or Reversal. By filtering out market noise with its "Smart Adaptive" logic, it helps traders distinguish between false moves and genuine trend opportunities, providing clear entry signals with built-in risk management targets.
Reversal Buy and Sell SignalsThis indicator is fast and minimalistic reversal-detection indicator designed to capture high-probability turning points in the market. It combines engulfing candlestick patterns, a strong candle body filter, and RSI momentum analysis to generate precise BUY and SELL signals with minimal noise.
Ultimate Reversion BandsURB – The Smart Reversion Tool
URB Final filters out false breakouts using a real retest mechanism that most indicators miss. Instead of chasing wicks that fail immediately, it waits for price to confirm rejection by retesting the inner band—proving sellers/buyers are truly exhausted.
Eliminates fakeouts – The retest filter catches only genuine reversions
Triple confirmation – Wick + retest + optional volume/RSI filters
Clear visuals – Outer bands show extremes, inner bands show retest zones
Works on any timeframe – From scalping to swing trading
Perfect for traders tired of getting stopped out by false breakouts.
Core Construction:
Smart Dynamic Bands:
Basis = Weighted hybrid EMA of HLC3, SMA, and WMA
Outer Bands = Basis ± (ATR × Multiplier)
Inner Bands = Basis ± (ATR × Multiplier × 0.5) → The "retest zone"
The Unique Filter: The Real Retest
Step 1: Identify an extreme wick touching the outer band
Step 2: Wait 1-3 bars for price to return and touch the inner band
Why it works: Most false breakouts never retest. A genuine reversal shows seller/buyer exhaustion by allowing price to come back to the "halfway" level.
Optional Confirmations:
Volume surge filter (default ON)
RSI extremes filter (optional)
Each can be toggled ON/OFF
How to Use:
Watch for extreme wicks touching the red/lime outer bands
Wait for the retest – price must return to touch the inner band (dotted line) within 3 bars
Enter on confirmation with built-in volume/RSI filters
Set stops beyond the extreme wick
QM Level Detector by RWBTradeLabQM Level Detector by RWBTradeLab
A clean, non-repainting QM level detector built for traders who track structure shifts and level-break sequences using confirmed candles only.
What this indicator does
This script detects and marks QM Levels based on a strict, rule-based sequence using closed candles only (no running-bar signals).
It identifies two types of QM:
Buy QM
A Buy QM is confirmed when the following sequence completes in order:
* V Level is detected.
* That V Level is broken down by a red candle close below the V Level price.
* After that breakdown, the most recent A Level (formed before the breakdown) is identified.
* When that A Level is later broken out by a green candle close above the A Level price, the original V Level becomes a Buy QM Level .
Sell QM
A Sell QM is confirmed when the opposite sequence completes in order:
* A Level is detected.
* That A Level is broken out by a green candle close above the A Level price.
* After that breakout, the most recent V Level (formed before the breakout) is identified.
* When that V Level is later broken down by a red candle close below the V Level price, the original A Level becomes a Sell QM Level .
Visuals on chart
* A horizontal ray (right-extended) is drawn at the confirmed QM price level.
* Label distance is adjustable via Text Offset (ticks).
Alerts
Built-in alerts trigger only on candle close when a QM is confirmed:
* Buy QM
* Sell QM
Each alert is designed for reliable automation without repainting.
Key settings
* Candle Length (closed candles): Scans the last N closed bars (running candle excluded).
* Buy QM / Sell QM toggles: Show or hide each type.
* Text toggle: Show or hide labels.
* QM Line Color and Text Offset (ticks) customization.
Non-repainting confirmation
All detection, marking, and alerts are based on confirmed candles only.
No running-bar conditions → no repainting .
Disclaimer
This indicator is a level-detection tool, not financial advice. Trading involves risk—always use proper risk management and confirm signals with your own analysis.
Creator: RWBTradeLab
If you find this useful, please leave a like ⭐ and share your feedback.
CVD Candle Divergence IndicatorThis indicator identifies potential reversal points by comparing the direction of price candles with the direction of cumulative volume delta (CVD) candles, while applying additional filters based on RSI behavior, volume strength, and candlestick wick structure.
It aims to highlight situations where price movement and volume delta disagree, which can signal fading momentum or absorption.
Core Concept
The script combines several independent conditions that must occur simultaneously before a signal is displayed on the chart. A signal appears only when all filters agree, reducing the number of low-quality or noise-based setups.
1. CVD Candle Direction
The indicator uses TradingView’s built-in function for volume delta candles. These candles summarize buying and selling aggression derived from lower-timeframe volume.
A CVD green candle indicates more buyer-initiated volume.
A CVD red candle indicates more seller-initiated volume.
The script looks for instances where price and CVD candles disagree:
Bullish signal: price candle is green while CVD candle is red
Bearish signal: price candle is red while CVD candle is green
This creates a form of divergence using volume delta instead of price highs and lows.
2. RSI Context Filter
Momentum is evaluated through RSI. Instead of relying only on standard overbought/oversold levels, the script also includes a recency filter based on the RSI midline (50 level).
RSI Threshold
Users can specify the RSI value required for bullish and bearish conditions.
Recency Filter
The indicator only allows signals if RSI has crossed the 50 level within a user-defined number of bars. This prevents signals during extended one-directional trends where divergence is less meaningful.
3. Volume Strength Filter
Signals are filtered through a volume-based requirement:
Current volume must exceed a moving average of volume multiplied by a user-defined factor.
This ensures that signals appear only during periods with sufficient participation and reduces noise during low-volume consolidation.
4. Wick-to-Body Ratio Filter
To incorporate price-action characteristics, the script evaluates the wick structure of each candle:
Bullish signals require a sufficiently large lower wick relative to the total candle range.
Bearish signals require a sufficiently large upper wick relative to the total candle range.
The wick percentage is fully configurable.
This adds a rejection or absorption component to the logic and prevents signals on weak or indecisive candles.
Signal Conditions
A bullish signal appears when all of the following are true:
Price candle is green
RSI is below the bullish threshold
CVD candle is red
Volume is above its threshold (if enabled)
RSI has interacted with the 50 level recently
Lower wick meets the wick-percentage requirement
A bearish signal requires the opposite conditions:
Price candle is red
RSI is above the bearish threshold
CVD candle is green
Volume is above its threshold (if enabled)
RSI recently interacted with the 50 level
Upper wick meets the wick-percentage requirement
Signals appear as arrows directly on the chart.
Use Cases
This indicator is intended for traders who work with:
Momentum shifts
Volume delta analysis
Candle structure-based confirmation
Reversal or exhaustion setups
Divergence concepts beyond price highs/lows
It does not predict market direction. Instead, it highlights areas where multiple conditions suggest a potential imbalance between price movement and volume delta.
I would strongly suggest to use this indicator only on timeframes 2-15m.
Here are a few examples:
LuxyEnergyIndexThe Luxy Energy Index (LEI) library provides functions to measure price movement exhaustion by analyzing three dimensions: Extension (distance from fair value), Velocity (speed of movement), and Volume (confirmation level).
LEI answers a different question than traditional momentum indicators: instead of "how far has price gone?" (like RSI), LEI asks "how tired is this move?"
This library allows Pine Script developers to integrate LEI calculations into their own indicators and strategies.
How to Import
//@version=6
indicator("My Indicator")
import OrenLuxy/LuxyEnergyIndex/1 as LEI
Main Functions
`lei(src)` → float
Returns the LEI value on a 0-100 scale.
src (optional): Price source, default is `close`
Returns : LEI value (0-100) or `na` if insufficient data (first 50 bars)
leiValue = LEI.lei()
leiValue = LEI.lei(hlc3) // custom source
`leiDetailed(src)` → tuple
Returns LEI with all component values for detailed analysis.
= LEI.leiDetailed()
Returns:
`lei` - Final LEI value (0-100)
`extension` - Distance from VWAP in ATR units
`velocity` - 5-bar price change in ATR units
`volumeZ` - Volume Z-Score
`volumeModifier` - Applied modifier (1.0 = neutral)
`vwap` - VWAP value used
Component Functions
| Function | Description | Returns |
|-----------------------------------|---------------------------------|---------------|
| `calcExtension(src, vwap)` | Distance from VWAP / ATR | float |
| `calcVelocity(src)` | 5-bar price change / ATR | float |
| `calcVolumeZ()` | Volume Z-Score | float |
| `calcVolumeModifier(volZ)` | Volume modifier | float (≥1.0) |
| `getVWAP()` | Auto-detects asset type | float |
Signal Functions
| Function | Description | Returns |
|---------------------------------------------|----------------------------------|-----------|
| `isExhausted(lei, threshold)` | LEI ≥ threshold (default 70) | bool |
| `isSafe(lei, threshold)` | LEI ≤ threshold (default 30) | bool |
| `crossedExhaustion(lei, threshold)` | Crossed into exhaustion | bool |
| `crossedSafe(lei, threshold)` | Crossed into safe zone | bool |
Utility Functions
| Function | Description | Returns |
|----------------------------|-------------------------|-----------|
| `getZone(lei)` | Zone name | string |
| `getColor(lei)` | Recommended color | color |
| `hasEnoughHistory()` | Data check | bool |
| `minBarsRequired()` | Required bars | int (50) |
| `version()` | Library version | string |
Interpretation Guide
| LEI Range | Zone | Meaning |
|-------------|--------------|--------------------------------------------------|
| 0-30 | Safe | Low exhaustion, move may continue |
| 30-50 | Caution | Moderate exhaustion |
| 50-70 | Warning | Elevated exhaustion |
| 70-100 | Exhaustion | High exhaustion, increased reversal risk |
Example: Basic Usage
//@version=6
indicator("LEI Example", overlay=false)
import OrenLuxy/LuxyEnergyIndex/1 as LEI
// Get LEI value
leiValue = LEI.lei()
// Plot with dynamic color
plot(leiValue, "LEI", LEI.getColor(leiValue), 2)
// Reference lines
hline(70, "High", color.red)
hline(30, "Low", color.green)
// Alert on exhaustion
if LEI.crossedExhaustion(leiValue) and barstate.isconfirmed
alert("LEI crossed into exhaustion zone")
Technical Details
Fixed Parameters (by design):
Velocity Period: 5 bars
Volume Period: 20 bars
Z-Score Period: 50 bars
ATR Period: 14
Extension/Velocity Weights: 50/50
Asset Support:
Stocks/Forex: Uses Session VWAP (daily reset)
Crypto: Uses Rolling VWAP (50-bar window) - auto-detected
Edge Cases:
Returns `na` until 50 bars of history
Zero volume: Volume modifier defaults to 1.0 (neutral)
Credits and Acknowledgments
This library builds upon established technical analysis concepts:
VWAP - Industry standard volume-weighted price measure
ATR by J. Welles Wilder Jr. (1978) - Volatility normalization
Z-Score - Statistical normalization method
Volume analysis principles from Volume Spread Analysis (VSA) methodology
Disclaimer
This library is provided for **educational and informational purposes only**. It does not constitute financial advice. Past performance does not guarantee future results. The exhaustion readings are probabilistic indicators, not guarantees of price reversal. Always conduct your own research and use proper risk management when trading.
RSI Multi Levels kiawosch [TradingFinder] 7-14-42 Consolidation🔵 Introduction
The Relative Strength Index or RSI is a tool used to measure the speed and intensity of price movement, oscillating between zero and one hundred. It is commonly applied to identify strength or weakness in market momentum across different time intervals. Despite its simple formula and wide usage, the behavior of RSI within specific ranges often provides more precise information than traditional overbought and oversold levels.
The Multi RSI layout displays three RSI values with periods 7, 14 and 42. The seven period RSI plays the primary role in short term analysis. When this value enters predefined ranges, it shows highly consistent and interpretable behavior that can signal trend continuation, corrections or the start of a range structure. The other two values, RSI 14 and RSI 42, help reveal higher timeframe momentum and provide context for the depth and quality of price movement.
Three potential zones are defined, each representing a behavioral range. The position zones forms the basis for signal interpretation :
High Potential : 78 to 85 & 22 to 15
Mid Potential : 70 to 78 & 30 to 22
Low Potential : 58 to 62 & 42 to 38
These zones highlight areas where RSI reacts in specific ways to price movement. Entering the High Potential range usually aligns with new highs or lows in price and often precedes continuation after a correction. In contrast, reactions inside the Mid Potential range frequently appear during clean ranges or channel structures. This approach focuses on momentum quality and structural behavior rather than classic overbought and oversold thresholds.
In summary, the logic behind the signals follows three principles :
Trend continuation, When RSI 7 enters the High Potential zone and price prints a new high or low, continuation after a correction becomes the most likely outcome.
Reversal or slowdown, When RSI exits the High Potential zone while price is reaching a previous high or low, the probability of a short term reversal increases.
Range behavior, In clean ranges or channel structures, RSI 7 typically reacts inside the Mid Potential zone and produces consistent swing responses.
🔵 How to Use
This method is based on observing the repeating behavior of RSI within momentum zones and identifying moments when price continues after a shallow correction or, conversely, when signs of slowing and reversal appear. RSI 7 plays the main role since it gives the most sensitive response to short term price changes. Its entry into or exit from a potential zone, combined with the position of price relative to recent highs and lows, forms the core of the signal logic. RSI 14 and RSI 42 provide higher timeframe confirmation and help evaluate the broader strength or weakness behind each movement.
🟣 Trend continuation after entering the High Potential zone
When RSI 7 reaches the High Potential zone while price forms a new high or low, the probability of continuation becomes very high. The typical sequence includes a short correction in price and a retreat of RSI toward the Mid Potential zone. As long as price structure remains intact and RSI turns upward again, continuation becomes the most likely scenario. As shown in the charts, price often expands strongly after this type of correction and breaks the previous high.
🟣 Reversal or slowdown after exiting the High Potential zone
If RSI 7 enters the High Potential zone but then exits while price is interacting with a previous high or low, conditions for a short term reversal appear. This behavior is clear in the charts, where price hits a supply or demand area and RSI can no longer return to the upper zone. The drop in RSI reflects weakening momentum and, when accompanied by a confirming candle, increases the chance of a reversal or at least a temporary pause.
🟣 Strong reversal after hitting the Mid Potential zone during deeper corrections
Sometimes price enters a deeper corrective phase and RSI 7 moves into or through the Mid Potential zone. When this occurs near a previous low, it can mark the start of a significant reversal. The charts show this pattern clearly, where RSI turns upward while price reacts to support. If the other RSI values show relative alignment, the probability of a strong rebound increases. This signal is often seen after fast declines and can mark the beginning of a recovery wave.
🟣 Range structure and repetitive reactions inside the Mid Potential zone
When price enters a clean range or channel, the behavior of RSI 7 changes completely. In such conditions, RSI repeatedly reacts inside the Mid Potential zone. Each time price touches the upper or lower boundary of the range, RSI approaches the upper or lower part of this zone as well. The result is a sequence of predictable swing reactions, perfectly suitable for mean reversion strategies. Breakouts in these environments also tend to show higher failure rates.
🟣 Sharp reactions and fast reversals at extreme levels (RSI near 90 or below 10)
Although this approach is not based on classic overbought and oversold logic, extremely high or low RSI readings such as ninety often produce strong immediate reactions in price. These conditions usually occur after sudden spikes or emotional breakouts. As visible in the charts, RSI collapses quickly after reaching such extremes and price often reverses sharply. While not a core signal, these moments add meaningful context to momentum interpretation.
🔵 Settings
RSI Setting : This section allows enabling or disabling the three RSI values, adjusting their calculation length and customizing their colors. It is designed to help separate short, medium and longer term momentum visually on the chart.
Zones Setting : This section controls the display of momentum zones and the color applied to each area. Adjusting these colors or toggling them on and off helps the trader visually track the intensity and structure of momentum.
Levels Setting : This section allows editing the numeric boundaries of the levels or showing and hiding each one individually. These levels form the visual framework for interpreting RSI behavior within the defined momentum zones.
🔵 Conclusion
Examining RSI behavior across different momentum zones shows that entering these ranges creates relatively consistent patterns in price movement. Reaching the High Potential zone often corresponds to later stages of a trend, where price has the strength to continue after a brief correction and structure remains intact. In contrast, reactions within the Mid Potential zone occur more frequently when the market transitions into a range or a limited movement phase, where repetitive oscillations dominate.
Overall, observing RSI inside these zones helps distinguish between trending movement, corrective phases and range conditions with greater clarity. Entry or exit from each zone provides insight into the underlying strength or weakness of momentum and reveals where the market is positioned within its movement cycle. This perspective, based on momentum regions rather than traditional values alone, offers a more refined understanding of price behavior and highlights the likely direction of the next move.
Engulfing Failed Zone Detector by RWBTradeLabEngulfing Failed Zone Detector by RWBTradeLab
A clean, non-repainting tool that focuses on one thing only: showing where strong engulfing patterns failed and the market broke through their base.
What this indicator does
This script automatically scans for confirmed engulfing patterns (Regular & E-Regular) and then tracks where those structures are invalidated.
It highlights two types of failure zones:
1. Buy Engulfing Failed
* A bullish engulfing pattern forms (Regular or E-Regular).
* Later, a bearish candle closes below the base low of that engulfing.
* The zone from the base candle to the failure candle is marked as Buy EG Failed .
2. Sell Engulfing Failed
* A bearish engulfing pattern forms (Regular or E-Regular).
* Later, a bullish candle closes above the base high of that engulfing.
* The zone from the base candle to the failure candle is marked as Sell EG Failed .
Only the first clear failure after each engulfing is drawn, keeping the chart clean and readable.
Visuals on chart
1. A rectangle (box) is drawn from the engulfing base candle to the failure candle.
2. Labels are placed automatically:
* Buy EG Failed (below the zone)
* Sell EG Failed (above the zone)
3. Label distance from the zone is controlled by Text Offset from Box (%).
4. Separate color controls for:
* Buy Engulfing Failed Box Color
* Sell Engulfing Failed Box Color
The label style matches Engulfing Detector by RWBTradeLab for a consistent visual experience.
Alerts
Built-in alerts trigger only on confirmed bar close when a new failure completes:
* Buy EG Failed
* Sell EG Failed
Each alert message includes:
* Brand prefix: RWBTradeLab
* Price
* Time
* Ticker
Perfect for linking with bots, webhooks or alert-based trade management.
Key settings
Candle Length (closed candles)
* Defines how many recent confirmed candles are scanned (the live bar is excluded).
Display toggles
* Buy Engulfing Failed
* Sell Engulfing Failed
* Text
Turn each element ON/OFF to control how much information you want on the chart.
Text Offset from Box (%)
* Controls how far the label is placed from the failed zone, with a safe minimum to keep labels clear and readable.
Non-repainting confirmation
* All detection and alerts are based on closed candles only.
* No signals from the running candle, no repaint tricks.
* Once a failure zone appears, it stays fixed.
Best use
Failed engulfing zones can reveal:
* Broken demand/supply zones
* Liquidity grabs where “smart money” flushed traders out
* Strong momentum shifts after a failed reversal attempt
* Levels where continuation or clean retests often occur
Works on any symbol and timeframe. For best results, combine with:
* Higher timeframe structure
* Key support/resistance or supply/demand mapping
* Your own confirmation tools and risk management
Disclaimer
This indicator is a technical pattern-detection tool, not financial advice. Trading involves risk. Always confirm signals with your own analysis and use proper risk management.
Creator: RWBTradeLab
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