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.
Analysis
Bassi Enhanced Next Candle Prediction with Neural Network & SMCOverview
This advanced all-in-one indicator combines machine learning-based next candle direction prediction with comprehensive Smart Money Concepts (SMC/ICT) tools, classic technical indicators, and visual aids for price action traders. It predicts whether the next candle will close bullish (green), bearish (red), or neutral — with a confidence percentage — using either a logistic regression neural network approximation (pre-trained on historical data) or a rule-based decision tree ensemble.
Perfect for scalpers, day traders, and swing traders seeking confluence from multiple sources.
Key Features
Next Candle Prediction
Real-time probability and direction (BUY/SELL/HOLD) with confidence level (0-100%).
Visual simulated future candle (one bar ahead) based on ATR-scaled body size.
Background coloring for predicted up/down moves.
Large label on the chart showing prediction, strength, confidence, and recent patterns.
Machine Learning Models (toggle via inputs)
NN Mode: Logistic regression (single-layer neural net) using normalized features from RSI, MACD, Stochastic, EMA, Bollinger Bands, ATR, OBV, Ichimoku, VWAP, CCI, Williams %R, MFI, and volume.
Tree Mode: Ensemble of 6 decision trees incorporating trend, volume, oscillators, candlestick patterns, divergences, and SMC elements.
Smart Money Concepts (SMC/ICT)
Order Blocks (Bullish/Bearish) with auto-extension and labels.
Fair Value Gaps (FVG) with volume-confirmed 3-candle detection and minimum size filter.
Breaker Blocks (when OB is broken).
Liquidity Sweeps (fakeouts at recent highs/lows).
Market Structure: Break of Structure (BOS) and Change of Character (CHoCH) labels.
Mitigation Blocks, Equal Highs/Lows, Imbalances.
Divergence Detection (Regular & Hidden)
RSI, MACD, and Stochastic divergences with lines and labels.
Classic Indicators & Tools
EMA, Ichimoku Cloud, Bollinger Bands, Parabolic SAR, SuperTrend, VWAP with bands.
ADX trend strength, Volume confirmation, Candlestick patterns (Engulfing, Hammer, Shooting Star).
Fibonacci Retracement from recent fractals (auto-updating on last bar).
Volume Profile (POC, VAH, VAL) over lookback period.
Visual & Info Enhancements
Customizable info table (Full/Summary/Mobile modes) showing key metrics, predictions, and statuses.
Trend background coloring.
Auto-cleanup of old drawings to prevent chart clutter.
Alerts
Buy/Sell/Hold predictions.
Patterns, divergences, SMC events (OB, FVG, BOS, CHoCH, Liquidity Sweeps, etc.).
How to Use
Add to any chart/timeframe (best on 1-15min for predictions).
Watch the next-candle label and simulated candle for directional bias.
Use SMC zones for entries/exits, confirmed by prediction confidence >66% (STRONG).
Combine with table for quick confluence overview.
Enable alerts for real-time notifications.
Disclaimer
No indicator guarantees profits. This is a tool for confluence — always use proper risk management. Backtest thoroughly on your assets/timeframes.
Market State & Candlestick Patterns Made in ChinaIndicator Overview
The Market State & Candlestick Patterns Master (MSCP-Master) is a comprehensive, all-in-one technical analysis indicator that combines real-time market state identification with multiple candlestick pattern recognition. This powerful tool not only identifies classic price action patterns but also adapts their significance based on the current market volatility environment, providing context-aware trading signals for smarter decision-making.
Core Innovation: Adaptive Pattern Recognition
Traditional candlestick pattern indicators work in isolation, often giving false signals in the wrong market conditions. MSCP-Master revolutionizes this approach by:
First assessing market state (Low Volatility/Ranging/High Volatility) through a multi-dimensional scoring system
Then applying different confirmation criteria for each pattern based on the detected market state
Finally providing context-aware signals that are more reliable because they consider the broader market environment
Three-Layer Analysis System
Layer 1: Market State Identification (The Foundation)
Uses four key metrics to calculate a comprehensive market state score:
ATR Relative Volatility: Measures current volatility against historical norms
Bollinger Band Width: Identifies contraction/expansion periods
Amplitude Analysis: Evaluates recent price range activity
Momentum Strength: Assesses directional movement power
Based on the composite score, the market is classified into:
🔵 Low Volatility: Tight ranges, potential for breakout
🟡 Ranging: Normal oscillation within established bounds
🟢 High Volatility: Wide ranges, strong momentum moves
Layer 2: Pattern Recognition With Context Adaptation
Each pattern uses different confirmation logic based on market state:
High Volatility State: Uses SMA-based trend confirmation (Long/Short SMA comparison)
Low Volatility/Ranging States: Uses ATR-adjusted threshold confirmation (dynamic based on current vs. baseline volatility)
This adaptive approach means patterns are only considered valid when they make sense for the current market environment.
Layer 3: Comprehensive Pattern Library
The indicator identifies 10+ critical candlestick patterns:
Engulfing Patterns (Bullish/Bearish) with Harami confirmation requirement
Outside Bars (Bullish/Bearish) with customizable engulfing criteria
False Breakouts (Bullish/Bearish) with sophisticated tracking of "trap" moves
Hammer/Inverted Hammer with ATR-adjusted significance thresholds
Doji Variations (Standard, Dragonfly, Gravestone) with precise mathematical definitions
Three Soldiers Method (Enhanced) with dual absolute/relative strength measurements
Enhanced Three Soldiers Method - Beyond Traditional Interpretation
Unlike traditional "Three White Soldiers/Black Crows" patterns that rely on simple visual recognition, our enhanced version introduces:
Quantifiable Strength Metrics: Each candle must meet customizable thresholds for both absolute price movement (%) and relative efficiency (close-to-open vs. total range)
Two Signal Types: Preparation signals (amber) for early warnings and True signals (green/red) for confirmed breakouts
Breakout Confirmation: "True signals" only trigger when price breaks above/below recent signal cluster extremes
Full Customization: All parameters adjustable to match your trading style and market conditions
Key Features
🎯 Context-Aware Signals: Patterns are validated differently in high vs. low volatility markets
📊 Real-Time Market State: Clear color-coded background shows current market conditions
🔍 Multiple Confirmation Methods: Uses both SMA trend-following and ATR-adjusted threshold approaches
⚙️ Fully Customizable: Every parameter adjustable across all pattern types and market state calculations
📈 Comprehensive Visualization: Color-coded labels, reference lines, and information tables
Strategic Application
Preparation Signals: Use amber "single candle" or "three candle" signals to prepare for potential moves
True Signals: Green/red "True" signals indicate confirmed momentum - ideal for main entries
Market State Alignment: Trade with the market's character - aggressive in high volatility, cautious in low volatility
Pattern Convergence: Look for multiple patterns confirming the same direction for higher probability setups
Parameter Groups (Organized for Easy Customization)
Market State Identification: ATR, Bollinger Band, Amplitude, Momentum parameters
Pattern-Specific Settings: Engulfing, Outside Bars, False Breakouts, Hammer/Doji patterns
Three Soldiers Method: Absolute/Relative strength thresholds, lookback periods
Confirmation Logic: SMA lengths, ATR adjustment factors, sensitivity settings
[TA] Range Regime# Range Regime – Candle Range Monitor (RR)
## Short Description
Tracks current candle range vs historical average, flags range spikes, and labels volatility regime (LOW / NORMAL / HIGH) at a glance.
---
## What It Does
Range Regime (RR) is a volatility/range monitoring indicator designed to help you quickly understand whether the market is *quiet, normal, or expanding* on the current timeframe.
It calculates:
* Current Range
* Either Candle Range (High–Low) *or* True Range (TR)
* Average Range over a lookback window (optionally smoothed)
* Max / Min / Mid range levels over the same lookback
* Spike detection
* Marks candles where current range is ≥ (Spike Threshold × Average)
* Regime state
* Compares the current range vs a longer Baseline Average
* Labels LOW / NORMAL / HIGH volatility regime in a small table
It also shows a compact stats table with points and ticks (based on `syminfo.mintick`) so you can think in the units you actually trade.
---
## Why It’s Helpful
This tool is useful because range expansion and compression often determine:
* Whether a setup is worth taking right now
* Whether your stops/targets are realistic for the session
* Whether you should size down (high regime) or avoid forcing trades (low regime)
* When the market is shifting from chop → impulse (spikes) or impulse → stall (compression)
In practice, RR helps you answer:
* “Is volatility expanding or contracting?”
* “Is this move unusually large relative to recent history?”
* “Are we in a high-vol environment where risk needs to change?”
---
## How To Use It
1. Add to chart (it plots in its own pane).
2. Choose your Range Mode :
* Candle (H–L) : pure bar range (great for clean range monitoring)
* True Range (TR) : includes gaps (better for overnight / news / gap-prone markets)
3. Set Lookback (N) :
* Typical: 20–100
* Smaller = more reactive, larger = more stable
4. Optionally enable Smooth the Average :
* Helps reduce noise and false “spike” triggers
5. Adjust Spike Threshold (× Avg) :
* Common values:
* 1.3–1.6 = more frequent spike flags
* 1.8–2.5 = only “real” expansions get flagged
6. Set Baseline Length (Regime) :
* Typical: 150–300
* This is your “background volatility context”
---
## How To Read The Plots
* Current Range (columns): what the market just “spent” in range.
* Avg: normal range for this timeframe.
* Max / Min: extremes over the lookback window.
* Mid: midpoint between Max and Min (quick “center” reference).
* Spike Line (× Avg): the threshold for a “spike.”
* Background highlight: appears when the current candle qualifies as a spike.
* Regime table (top-left):
* HIGH when current range > 1.25× baseline average
* LOW when current range < 0.75× baseline average
* Otherwise NORMAL
---
## Practical Trading Uses (Examples)
* Risk calibration: If regime is HIGH , consider wider stops / smaller size.
* Trade selection: Avoid mean-reversion scalps when spikes are frequent (momentum environment).
* Session context: Spot when market transitions from tight range (LOW) into expansion (spike + HIGH).
* Instrument comparison: Great for comparing how “active” ES vs NQ vs CL is *on the same timeframe*.
---
## Suggested Defaults
* Lookback (N): 50
* Range Mode: True Range (TR) for gap-prone markets; Candle (H–L) for cleaner intraday bars
* Smoothing: On, length 10
* Spike Threshold: 1.5×
* Baseline Length: 200
---
## Notes / Limitations
* This is not a buy/sell signal . It’s a volatility/range context tool .
* Results depend on timeframe. A spike on 1m means something very different than a spike on 1h.
* “Ticks” display uses the symbol’s `mintick` and will be most meaningful on instruments with standardized tick sizes (futures, many FX pairs, etc.).
---
## Invite-Only / Access Copy
This script is published as “Invite-Only.”
If you’ve been granted access, it will appear under Indicators → Invite-only scripts on TradingView.
If you don’t see it, you likely haven’t been added yet—request access from the publisher.
---
Session Volume Profile - Asia London NYSession Volume Profile – Asia, London, NY
Description
OVERVIEW
Session Volume Profile is a technical analysis indicator designed to visualize how volume is distributed during the three primary global trading sessions: Asia, London, and New York. The script separates intraday volume data into time-defined sessions to help traders observe where trading activity concentrated and how value areas evolve as liquidity transitions between regions.
This indicator is intended for market structure and contextual analysis, not signal generation.
TECHNICAL OUTPUT
For each enabled session, the indicator calculates and displays:
Point of Control (POC)
The price level with the highest traded volume during the session.
Value Area High / Low (VAH / VAL)
The price range containing a user-defined percentage of total session volume (commonly 70%).
Session Volume Histogram
A horizontal volume-at-price visualization showing relative participation across price levels, highlighting high- and low-volume areas.
CALCULATION FRAMEWORK
Session Segmentation
Sessions are identified using exchange-based time boundaries. Each session is processed independently to prevent overlap and ensure clean separation of volume data.
Volume Binning
Intraday volume is allocated into discrete price buckets using an array-based structure. The resolution of these buckets is controlled by the Histogram Density input.
Value Area Expansion
The script identifies the session’s POC and expands outward in both directions until the selected percentage of total volume is reached, defining the Value Area High and Low.
HOW TO USE
Session Context
Observe how price reacts to prior-session POC and value areas when a new session begins.
Customization Controls
Individual sessions can be enabled or disabled, and visual opacity can be adjusted to maintain clarity on lower timeframes.
Session Awareness
An optional countdown timer displays remaining session time to help traders stay aware of upcoming liquidity transitions.
DESIGN NOTES
This indicator visualizes historical volume distribution only. It does not identify specific participants or predict future price behavior. All calculations are derived exclusively from price and volume data available on the chart.
DISCLAIMER
This script is provided for educational and analytical purposes only. It does not generate trade signals, alerts, or financial advice. Historical volume distributions do not guarantee future market behavior.
UIA TrendCompass V1.0UIA TrendCompass v1.0 is a market structure interpretation tool designed to visualize trend states in real time.
The script identifies four structural states based on price behavior and trend continuity:
• T — Trend Start
• E — Trend Extension
• H — Structural High / Low
• X — Trend Exit / Reversal
This indicator is intended for market structure analysis and educational purposes only.
It does NOT provide trading signals, buy/sell recommendations, or investment advice.
All labels are generated based on historical price data and do not predict future market movements.
Users should combine this tool with their own analysis and risk management framework.
This script is provided "as is" with no guarantee of accuracy or performance.
Selected Days Indicator V3-TrDoes the stock drop every Wednesday? Do March months always move similarly? Does the 1st week of the month behave differently?
Do you ever say "it always makes this move in these months"? Don't you want to see more clearly whether it actually makes this move or not? Don't you want to see and test periodically repeating price patterns?
Hisse her Çarşamba düşüyor mu? Mart ayları hep benzer mi hareket ediyor? Ayın 1. haftası farklı mı davranıyor?
Bazen "bu aylarda hep bu hareketi yapıyor" dediğiniz oluyor mu? Gerçekten de bu hareketi yapıp yapmadığını daha net görmek istemez misiniz? Periyodik tekrarlayan fiyat kalıplarını görmek ve test etmek istemiyor musunuz?
1. Problem
Some stocks or crypto assets exhibit systematic behaviors on certain days, weeks, or months. But it's hard to see - everything is mixed together on the chart. This indicator isolates the days/weeks/months you want and shows only them. Hides everything else.
2. How It Works
Three-layer filter: Day (Monday, Tuesday...), Week (1st, 2nd, 3rd week of the month), Month (January, February...). Select what you want, let the rest disappear. Example: Show only Thursdays of March-June-September. Or compare every 1st week of the month. View as candlestick, line, or column chart.
3. What's It Good For?
Test "end-of-month effect". Find "day-of-the-week anomaly". Analyze crypto volatility by days. See seasonality in commodities. Discover patterns specific to your own strategy. Past data doesn't guarantee the future but provides statistical advantage.
True Three Soldiers Method (TTSM) - Breakout ConfirmationIndicator Overview
True Three Soldiers Method (TTSM) - Made in China is a quantifiable evolution beyond traditional candlestick pattern recognition. It replaces subjective visual analysis with an objective, data-driven momentum system featuring smart breakout confirmation.
Core Innovation: Beyond Traditional Pattern Recognition
Traditional three-soldier patterns merely check for three consecutive bullish/bearish candles. TTSM goes much deeper:
Dual Signal System: It identifies both single-candle and three-candle momentum signals, providing earlier warnings of potential trend changes.
Quantifiable Strength Metrics: Each signal must meet customizable thresholds for both absolute price movement (percentage change) and relative efficiency (close-to-open distance relative to total range).
Breakout Confirmation Logic: The real innovation lies in the "True Signal" mechanism. Preliminary signals are tracked, and only when price breaks above the highest high of recent bullish signals (or below the lowest low of recent bearish signals) does it trigger a confirmed entry signal. This eliminates false breakouts and ensures you're trading with confirmed momentum.
Absolute Strength: Quantifies momentum via percentage price change.
Relative Strength: Measures candlestick efficiency (close-to-open vs. total range).
True Signal Validation: A "True" entry signal triggers only after price confirms momentum by breaking above/below a cluster of recent preliminary signals, filtering out false moves.
Dual-Layer Signal System
Key Features
🔴 Amber Signals (Preparation): Single-candle or three-candle patterns that meet strength criteria. These indicate potential momentum building and can be used for preparation or light positioning.
🟢 Green Signals (True Breakout): Triggered only when price breaks above/below the recent signal cluster extremes. These represent confirmed momentum and are ideal for main entries.
🎚 Fully Customizable: Every parameter—absolute/relative strength thresholds, lookback periods, and average calculations—can be adjusted to match your trading style and market conditions.
📊 Clear Visual Feedback: Color-coded labels and reference lines make signal identification instant and intuitive.
Parameter Customization Guide
All parameters are organized in intuitive groups:
Strength Thresholds: Adjust absolute (%) and relative (%) strength requirements for both long and short signals.
First Signal Thresholds: Special thresholds for when a signal is the first in the lookback period.
Lookback & Averages: Control how many bars are considered for signal tracking and moving averages.
Strategic Application
Preparation Signals: Use amber signals to prepare for potential moves, set alerts, or enter with smaller positions.
True Signals: Green/red "True" signals indicate confirmed momentum—ideal for main entries with proper risk management.
Combination Strategy: Pair TTSM with trend indicators (like Supertrend) for higher probability trades—only take True Signals in the direction of the main trend.
Momentum Quality Index (MQI)
Welcome to the Momentum Quality Index! This indicator aims to provide insight into short term trends by measuring the efficiency of price movement relative to the momentum of the trend. This indicator is designed to work better on short term time frames, capturing the micro-level of trends for practices such as day-trading, options trading, and shorter term swing trading.
How to read:
The main way of reading this indicator is through moving average crossovers. Upwards crossovers indicates uptrends whereas downwards crossovers indicates downtrends.
Customization:
This indicator includes a few adjustable options for fine tuning, such as optimized smoothing options and moving average length for efficiency in spotting reversals.
Normalized Volume Dynamics [NVD]Concept & Overview
**Normalized Volume Dynamics (NVD)** is a volume analysis indicator designed to reduce time-of-day noise and highlight unusual volume behavior relative to historical conditions.
Most standard volume indicators compare current volume to a rolling average, which can lead to misleading readings during naturally active periods.
**NVD** addresses this by using a time-normalized volume baseline, comparing the current bar’s volume to volume observed at the same intraday bar position across prior sessions, rather than to a generic moving average.
This approach helps distinguish expected activity from statistically abnormal volume.
**Market Suitability**
The time-normalized logic depends on consistent intraday data structure.
**Crypto (24/7 Markets):**
Continuous trading provides consistent intraday alignment, making normalization most reliable.
**Futures:**
Continuous futures contracts with minimal session gaps generally work well.
**Stocks & Forex:**
Session gaps, holidays, and irregular trading hours may introduce minor baseline drift. While the indicator remains functional, continuous markets are preferred for best accuracy.
**How the Indicator Works**
NVD combines three core components:
**1. Time-Normalized Volume Baseline**
Current volume is compared against the average volume of the same intraday bar position over prior sessions.
* Filters out predictable time-based volume patterns
* Highlights volume that exceeds what is historically typical for that point in the session
* Automatically falls back to a smoothed volume average on non-intraday charts or limited history
**2. Efficiency Oscillator (Lower Panel)**
The histogram evaluates the relationship between price movement and volume effort, showing how efficiently price is moving.
Color interpretation:
* **Green Columns:** Buying pressure with high efficiency (Trend is healthy).
* **Red Columns:** Selling pressure with high efficiency.
* **Yellow Columns:** Volume Spike. Abnormal volume detected (2x average) indicating a potential breakout or exhaustion.
* **Grey Columns:** Absorption/Churn. Volume is present but price is not moving significantly. This often happens before a violent move
**3. Informational Flow Signals (Main Chart)**
The indicator can mark candles where unusual volume coincides with price rejection. These markers are informational and require multiple conditions:
* Volume exceeds the selected baseline by a user-defined multiplier
* Price makes a new local high or low but closes back within the candle range, indicating rejection
* Optional Money Flow Index (MFI) filter confirms an overbought or oversold condition
**Dashboard Overview**
An optional dashboard provides a compact summary of the indicator’s internal states for quick reference.
The dashboard displays:
**Trend State (ADX)**
* Uses ADX to classify conditions as **TRENDING** or **RANGING**
* Helps contextualize whether volume behavior is occurring in a directional environment
**Flow Bias**
* Derived from the Efficiency Oscillator and VWAP relationship
* Displays:
**BUYING**
**SELLING**
**ABSORPTION** (low efficiency / churn)
* An arrow indicates whether price is positioned above or below VWAP
**Volume Status**
* Indicates whether current volume qualifies as a high-volume condition relative to the selected baseline
* Matches the logic used for histogram coloring and informational markers
**Multi-Timeframe Support**
* The dashboard can optionally run on a separate timeframe
* Users may choose to sync the histogram with the dashboard timeframe or keep it on the chart timeframe
*Note: The dashboard summarizes internal calculations and does not generate independent trade signals. All values update on confirmed bars.*
**How to Trade: "INFO" Signals**
The chart arrows are labeled **INFO BUY** and **INFO SELL** to emphasize that these are informational warnings of stopping volume, not blind entry signals.
**INFO BUY (Green Arrow):**
* **The Logic:** Sellers pushed price to a low, but massive volume entered to absorb the sell pressure, forcing a close in the upper range. This is a "Bear Trap" or Liquidity Sweep.
* **Usage:** If you are Short, this is a warning to tighten stops. If looking for Longs, wait for price to break the high of the signal candle for confirmation.
**INFO SELL (Red Arrow):**
* **The Logic:** Buyers pushed price to a high, but massive volume entered to block the move, forcing a close in the lower range. This is a "Bull Trap."
* **Usage:** If you are Long, this indicates overhead resistance/supply. If looking for Shorts, wait for price to break the low of the signal candle.
**Features & Settings**
* Time-Normalized or Recent-Average volume calculation modes
* Efficiency histogram with absorption and volume spike detection
* Optional MFI filter for informational signals
* VWAP-based contextual filter
* Dashboard showing trend state, flow bias, and volume status
* Non-repainting alerts triggered on bar close
**Recommended Usage**
* Higher timeframes (5m and above) generally provide clearer structure
* On lower timeframes, increasing the analysis period can help reduce noise
* Designed to be used as a supporting analysis tool, not a standalone system
**Disclaimer**
*This indicator is provided strictly for educational and informational purposes. It does not constitute financial, investment, trading, or other professional advice.*
*All calculations, visualizations, and signals produced by this indicator are derived solely from historical price and volume data. No representation is made that the indicator can predict future market behavior or outcomes. Any interpretations drawn from its output are the sole responsibility of the user.*
*Trading and investing involve substantial risk, including the possible loss of all or more than the initial capital. Market conditions can change rapidly, and past market behavior, patterns, or indicator performance do not guarantee similar results in the future.*
*The informational markers, alerts, dashboard readings, and histogram values generated by this indicator are not trade recommendations and should not be used as the sole basis for making trading decisions. Users are encouraged to combine this tool with their own analysis, risk management, and confirmation methods.*
*The author assumes no responsibility or liability for any trading decisions, losses, or damages resulting directly or indirectly from the use of this indicator. By using this script, you acknowledge that you are solely responsible for your trading decisions and outcomes.*
*Use at your own risk.*
CRUX-3 Macro Regime Index"CRUX-3 Macro Regime Index"
Description:
CRUX-3 Macro Regime Index is a higher-timeframe macro indicator designed to evaluate how crypto markets are performing relative to traditional equities. It compares Bitcoin, Ethereum, and the broader altcoin market (TOTAL3) against the S&P 500 using Z-score normalization to highlight periods of relative outperformance or underperformance.
The indicator incorporates liquidity-based regime detection using Bitcoin dominance and stablecoin dominance to classify market environments as Risk-On, BTC-Led, or Risk-Off. Background shading visually highlights these regimes, helping users identify broader macro conditions rather than short-term trade signals.
CRUX-3 is intended for macro context, regime awareness, and allocation bias decisions, not for precise trade entries or timing.
How to Use:
Weekly timeframe recommended for best results
Rising Z-scores indicate crypto outperforming equities
ETH/SPX typically acts as an early rotation signal
TOTAL3/SPX confirms broader altcoin participation
Regime shading reflects liquidity conditions, not price forecasts
Regime Definitions:
Risk-On: BTC dominance and stablecoin dominance declining
BTC-Led: BTC dominance strong while stablecoin dominance eases
Risk-Off: BTC dominance and stablecoin dominance rising
Notes:
Forward regime bands are statistical reference guides based on historical behavior
This indicator does not predict future prices or market direction
Best used alongside price charts and other macro tools
Disclaimer:
This indicator is for educational and informational purposes only. It does not constitute financial advice, investment advice, or trading recommendations.
Recommended Settings:
Timeframe: Weekly (1W)
Z-Score Lookback: 52
Forward Regime Bands: Enabled
swing indicator Installation & Configuration - swing Indicator
⚙️ Parameter Configuration
"Settings" Group (General Parameters)
Show Moving Average: Show/hide the OI moving average
✅ Recommended: Enabled to visualize the trend
Helps identify if OI is above or below its average
MA Period: Moving average period (default: 20)
📊 Common values:
20: Short/medium term trend (responsive)
50: Medium term trend (balanced)
100: Long term trend (stable)
Compare with Volume: Display normalized volume in background
💡 Useful to compare OI evolution with volume
Helps identify divergences between Open interest (oi) and Volume
OI Significant Change Threshold: Detection threshold for significant changes
Available options: 10%, 15%, 20%, 25%, 30%, 40%
🎯 10-15%: High sensitivity (many signals, possible noise)
🎯 20-25%: Normal sensitivity (moderate signals, recommended)
🎯 30-40%: Low sensitivity (rare but very significant signals)
⚡ This threshold determines when green/red triangles appear
Manual OI Symbol (optional): Manually enter the OI symbol
📝 Leave empty for automatic detection
⚙️ Use only if your symbol is not automatically recognized
Manual example: COMEX:GC1!_OI for gold
"Visual Signals" Group
Show Triangles (Significant Changes): Show/hide triangles
▲ GREEN Triangle = Significant OI increase (> configured threshold)
▼ RED Triangle = Significant OI decrease (< -configured threshold)
✅ Recommended: Enabled to see important changes
💡 Disable if you find the chart too cluttered
Show Circles (MA Crossovers): Show/hide circles
● GREEN Circle = OI crosses MA upward
● RED Circle = OI crosses MA downward
✅ Recommended: Enabled if you use MA crossover strategy
💡 Disable if you focus only on OI variations
"Style" Group (Color Customization)
OI Color: Main Open Interest histogram color
Default: Blue
🎨 Customize according to your visual preferences
OI Rising: Histogram color when OI increases
Default: Transparent green
Subtle display of direction
OI Falling: Histogram color when OI decreases
Default: Transparent red
Subtle display of direction
MA Color: Moving average color
Default: Orange
Should contrast with OI color
Volume Color: Normalized volume background color
Default: Transparent gray
Discreet enough not to hinder reading
📊 Reading the Information Panel
The panel at the top right of the chart displays:
By: Alphaomega18
Indicator creator's signature
⚠️ WARNING: OI symbol not detected
Only appears if OI symbol is not automatically detected
Action: Check symbol or enter manually
Open Interest
Current Open Interest value
Format: number of contracts (e.g., 485.2K = 485,200 contracts)
Change
OI % change from previous bar
🟢 Green = OI increase
🔴 Red = OI decrease
Ex: +2.45% = OI increased by 2.45%
Threshold
Displays configured threshold for alerts
Ex: "25%" = alerts triggered at +25% or -25%
Yellow color for visibility
MA(20)
Current moving average value
Number in parentheses indicates period
Ex: MA(50) if you configured a 50 period
Signal
🟢 Strong Trend: OI > MA → Strong participation, solid trend
🔴 Weak Trend: OI < MA → Weak participation, fragile trend
🎯 Visual Signals on Chart
Triangles (Significant Changes)
▲ GREEN Triangle (bottom of chart)
Meaning: Significant OI increase
Trigger: OI increases more than configured threshold
Example: If threshold = 25%, triangle appears when OI +25% or more
📈 Interpretation: New contracts opened = growing interest
▼ RED Triangle (bottom of chart)
Meaning: Significant OI decrease
Trigger: OI decreases more than configured threshold
Example: If threshold = 25%, triangle appears when OI -25% or less
📉 Interpretation: Massive position closing = disengagement
Circles (Moving Average Crossovers)
🟢 GREEN Circle (bottom of chart)
Meaning: OI just crossed MA upward
Signal: Open interest back above its average
📊 Interpretation: Interest returning, potential trend start
🔴 RED Circle (top of chart)
Meaning: OI just crossed MA downward
Signal: Open interest back below its average
📊 Interpretation: Decreasing interest, potential weakening
🔔 Alert Configuration
Create an alert:
Right-click on chart → "Add Alert" (or ALT + A)
In "Condition", select "Open Interest"
Choose alert type from 4 available
Configure notification options
Click "Create"
Available alert types:
OI Significant Increase
Triggers when OI increases beyond configured threshold
Example: Threshold 25% → Alert if OI +25% or more
Use: Detect massive influx of new contracts
OI Significant Decrease
Triggers when OI decreases beyond configured threshold
Example: Threshold 25% → Alert if OI -25% or less
Use: Detect massive position closing
OI crosses MA up
Triggers when OI crosses its moving average upward
Condition: OI was below MA and crosses above
Use: Identify interest returning
OI crosses MA down
Triggers when OI crosses its moving average downward
Condition: OI was above MA and crosses below
Use: Identify decreasing interest
Notification configuration:
✉️ Email: Receive alert via email
📱 SMS: Receive alert via SMS (subscription required)
🔔 Popup: Notification on TradingView
📲 App: Notification on TradingView mobile app
🔗 Webhook: Send alert to external system
💡 Advanced Interpretation
Combined OI + Price Analysis:
Open InterestPriceInterpretationSuggested Action↑ Rising↑ Rising🟢 STRONG UptrendNew buyers entering, robust trend, consider long positions↑ Rising↓ Falling🔴 STRONG DowntrendNew sellers entering, bearish pressure, consider short positions↓ Falling↑ Rising📊 Short coveringClosing short positions, potentially temporary move↓ Falling↓ Falling📊 Long liquidationClosing long positions, potentially temporary move
OI vs Moving Average:
OI > MA (Signal: Strong Trend)
Open interest above its average
Market participation above normal
Trend supported by growing interest
✅ Increased confidence in market direction
OI < MA (Signal: Weak Trend)
Open interest below its average
Market participation below normal
Potentially fragile trend
⚠️ Caution: trend lacks conviction
OI vs Volume:
Rising OI + Rising Volume
New contracts + high trading activity
💪 Very strong trend signal
Falling OI + Rising Volume
Position closing + high activity
⚡ Potential reversal or massive profit-taking
Stable OI + Rising Volume
Transfer of positions between traders
🔄 Changing hands, no new commitments
🛠️ Troubleshooting
❌ Issue: "⚠️ WARNING - OI symbol not detected"
✅ Solutions:
Check contract symbol
Make sure you're on a continuous futures contract (e.g., GC1!, CL1!)
Not on a specific contract (e.g., GCZ2024)
Enter symbol manually
Go to Settings → Manual OI Symbol
Format: EXCHANGE:SYMBOL_OI
Examples:
Gold: COMEX:GC1!_OI
WTI Crude: NYMEX:CL1!_OI
Natural Gas: NYMEX:NG1!_OI
Check data availability
Not all markets have public OI data
Verify on TradingView if OI data exists
❌ Issue: No data displayed (empty chart)
✅ Solutions:
Change timeframe
OI is generally published daily
Switch to Daily (1D) or Weekly (1W)
Intraday timeframes may not have data
Check data connection
Refresh TradingView page
Check your TradingView subscription (some data requires subscription)
Test on another market
Try with gold (COMEX:GC1!) which always has OI data
If it works, problem comes from initial market
❌ Issue: Too many visual signals (cluttered chart)
✅ Solutions:
Increase detection threshold
Settings → OI Significant Change Threshold
Change from 20% to 30% or 40%
Fewer signals, but more significant
Disable some signals
Visual Signals → Uncheck "Show Triangles" or "Show Circles"
Keep only the most important signals for you
Adjust colors
Style → Reduce color opacity
Make signals more discreet visually
❌ Issue: Not enough signals
✅ Solutions:
Reduce detection threshold
Settings → OI Significant Change Threshold
Change to 10% or 15%
More signals, but beware of noise
Enable all signals
Visual Signals → Check "Show Triangles" AND "Show Circles"
Full display of all events
Reduce MA period
Settings → MA Period → Change from 20 to 10
More responsive MA = more crossovers
📈 Compatible Markets (Auto-detection)
✅ Energy (NYMEX)
CL, CL1!: WTI Crude Oil
BZ, BZ1!: Brent Crude
NG, NG1!: Natural Gas
RB, RB1!: RBOB Gasoline
HO, HO1!: Heating Oil
✅ Precious Metals (COMEX/NYMEX)
GC, GC1!: Gold
SI, SI1!: Silver
PL, PL1!: Platinum
PA, PA1!: Palladium
HG, HG1!: Copper
✅ Industrial Metals (LME)
ALI, ALI1!: Aluminum
ZNC, ZNC1!: Zinc
NI, NI1!: Nickel
✅ Agriculture - Grains (CBOT)
ZC, ZC1!: Corn
ZW, ZW1!: Wheat
ZS, ZS1!: Soybeans
ZM, ZM1!: Soybean Meal
ZL, ZL1!: Soybean Oil
ZO, ZO1!: Oats
ZR, ZR1!: Rice
✅ Agriculture - Softs (ICE)
SB, SB1!: Sugar
KC, KC1!: Coffee
CC, CC1!: Cocoa
CT, CT1!: Cotton
OJ, OJ1!: Orange Juice
✅ Livestock (CME)
LE, LE1!: Live Cattle
GF, GF1!: Feeder Cattle
HE, HE1!: Lean Hogs
✅ Other
LBS, LBS1!: Lumber (CME)
🎓 Usage Tips
For beginners:
Start with default parameters (threshold 25%, MA 20)
Enable all visual signals
Focus on liquid markets (gold, crude oil)
Observe how OI reacts to price movements
For intermediate traders:
Adjust threshold according to market volatility (15-30%)
Combine with other technical indicators
Create alerts for significant changes
Analyze OI/Price divergences
For advanced traders:
Use multiple MA periods (20, 50, 100)
Analyze OI/Volume/Price correlation
Configure alerts on multiple timeframes
Integrate into complete trading strategy
📊 Practical Example
Scenario: Gold Trading (COMEX:GC1!)
Initial setup:
Threshold: 20% (gold volatile)
MA: 20 days
All signals enabled
Timeframe: Daily (1D)
Observation:
Gold price: Uptrend
OI: ▲ Green triangle (increase of +22%)
Signal: 🟢 Strong Trend (OI > MA)
Interpretation:
New buyers massively entering
Uptrend supported by OI
Strong market conviction
Action:
✅ Long position validated by OI
Stop loss below technical support
Monitor if OI continues to increase
✨ Made by Alphaomega18
Open Interest RSI [BackQuant]Open Interest RSI
A multi-venue open interest oscillator that aggregates OI across major derivatives exchanges, converts it to coin or USD terms, and runs an RSI-style engine on that aggregated OI so you can track positioning pressure, crowding, and mean reversion in leverage flows, not just in price.
What this is
This tool is an RSI built on top of aggregated open interest instead of price. It pulls futures OI from several major exchanges, converts it into a unified unit (COIN or USD), sums it into a single synthetic OI candle, then applies RSI and smoothing to that combined series.
You can then render that Open Interest RSI in different visual modes:
Clean line or colored line for classic oscillator-style reads.
Column-style oscillator for impulse and compression views.
Flag mode that fills between OI RSI and its EMA for trend/mean reversion blends. See:
Heatmap mode that paints the panel based on OI RSI extremes, ideal for scanning. See:
On top of that it includes:
Aggregated OI source selection (Binance, Bybit, OKX, Bitget, Kraken, HTX, Deribit).
Choice of OI units (COIN or USD).
Reference lines and OB/OS zones.
Extreme highlighting for either trend or mean reversion.
A vertical OI RSI meter that acts as a quick strength gauge.
Aggregated open interest source
Under the hood, the indicator builds a synthetic open interest candle by:
Looping over a list of supported exchanges: Binance, Bybit, OKX, Bitget, Kraken, HTX, Deribit.
Looping over multiple contract suffixes (such as USDT.P, USD.P, USDC.P, USD.PM) to capture different contract types on each venue.
Requesting OI candles from each venue + contract combination for the same underlying symbol.
Converting each OI stream into a common unit: In COIN mode, everything is normalized into coin-denominated OI. In USD mode, coin OI is multiplied by price to approximate notional OI.
Summing up open, high, low and close of OI across venues into a single aggregated OI candle.
If no valid OI is available for the current symbol across all sources, the script throws a clear runtime error so you know you are on an unsupported market.
This gives you a single, exchange-agnostic open interest curve instead of being tied to one venue. That aggregated OI is then passed into the RSI logic.
How the OI RSI is calculated
The RSI side is straightforward, but it is applied to the aggregated OI close:
Compute a base RSI of aggregated OI using the Calculation Period .
Apply a simple moving average of length Smoothing Period (SMA) to reduce noise in the raw OI RSI.
Optionally apply an EMA on top of the smoothed OI RSI as a moving average signal line.
Key parameters:
Calculation Period – base RSI length for OI.
Smoothing Period (SMA) – extra smoothing on the RSI value.
EMA Period – EMA length on the smoothed OI RSI.
The result is:
oi_rsi – raw RSI of aggregated OI.
oi_rsi_s – SMA-smoothed OI RSI.
ma – EMA of the smoothed OI RSI.
Thresholds and extremes
You control three core thresholds:
Mid Point – central reference level, typically 50.
Extreme Upper Threshold – high-level OI RSI edge (for example 80).
Extreme Lower Threshold – low-level OI RSI edge (for example 20).
These thresholds are used for:
Reference lines or OB/OS zone fills.
Heatmap gradient bounds.
Background highlighting of extremes.
The Extreme Highlighting mode controls how extremes are interpreted:
None – do nothing special in extreme regions.
Mean-Rev – background turns red on high OI RSI and green on low OI RSI, framing extremes as contrarian zones.
Trend – background turns green on high OI RSI and red on low OI RSI, framing extremes as participation zones aligned with the prevailing move.
Reference lines and OB/OS zones
You can choose:
None – clean plotting without guides.
Basic Reference Lines – mid, upper and lower thresholds as simple gray horizontals.
OB/OS Levels – filled zones between:
Upper OB: from the upper threshold to 100, colored with the short/overbought color.
Lower OS: from 0 to the lower threshold, colored with the long/oversold color.
These guides help visually anchor the OI RSI within "normal" versus "extreme" regions.
Plotting modes
The Plotting Type input controls how OI RSI is drawn. All modes share the same underlying OI and RSI logic, but emphasise different aspects of the signal.
1) Line mode
This is the classic oscillator representation:
Plots the smoothed OI RSI as a simple line using RSI Line Color and RSI Line Width .
Optionally plots the EMA overlay on the same panel.
Works well when you want standard RSI-style signals on leverage flows: crosses of the midline, divergences versus price, and so on.
2) Colored Line mode
In this mode:
The OI RSI is plotted as a line, but its color is dynamic.
If the smoothed OI RSI is above the mid point, it uses the Long/OB Color .
If it is below the mid point, it uses the Short/OS Color .
This creates an instant visual regime switch between "bullish positioning pressure" and "bearish positioning pressure", while retaining the feel of a traditional RSI line.
3) Oscillator mode
Oscillator mode renders OI RSI as vertical columns around the mid level:
The smoothed OI RSI is plotted as columns using plot.style_columns .
The histogram base is fixed at 50, so bars extend above and below the mid line.
Bar color is dynamic, using long or short colors depending on which side of the mid point the value sits.
This representation makes impulse and compression in OI flows more obvious. It is especially useful when you want to focus on how quickly OI RSI is expanding or contracting around its neutral level. See:
4) Flag mode
Flag mode turns OI RSI and its EMA into a two-line band with a filled area between them:
The smoothed OI RSI and its EMA are both plotted.
A fill is drawn between them.
The fill color flips between the long color and the short color depending on whether OI RSI is above or below its EMA.
Black outlines are added to both lines to make the band clear against any background.
This creates a "flag" style region where:
Green fills show OI RSI leading its EMA, suggesting positive positioning momentum.
Red fills show OI RSI trailing below its EMA, suggesting negative positioning momentum.
Crossovers of the two lines can be read as shifts in OI momentum regime.
Flag mode is useful if you want a more structural view that combines both the level and slope behaviour of OI RSI. See:
5) Heatmap mode
Heatmap mode recasts OI RSI as a single-row gradient instead of a line:
A single row at level 1 is plotted using column style.
The color is pulled from a gradient between the lower and upper thresholds: Near the lower threshold it approaches the short/oversold color and near the upper threshold it approaches the long/overbought color.
The EMA overlay and reference lines are disabled in this mode to keep the panel clean.
This is a very compact way to track OI RSI state at a glance, especially when stacking it alongside other indicators. See:
OI RSI vertical meter
Beyond the main plot, the script can draw a small "thermometer" table showing the current OI RSI position from 0 to 100:
The meter is a two-column table with a configurable number of rows.
Row colors form an inverted gradient: red at the top (100) and green at the bottom (0).
The script clamps OI RSI between 0 and 100 and maps it to a row index.
An arrow marker "▶" is drawn next to the row corresponding to the current OI RSI value.
0 and 100 labels are printed at the ends of the scale for orientation.
You control:
Show OI RSI Meter – turn the meter on or off.
OI RSI Blocks – number of vertical blocks (granularity).
OI RSI Meter Position – panel anchor (top/bottom, left/center/right).
The meter is particularly helpful if you keep the main plot in a small panel but still want an intuitive strength gauge.
How to read it as a market pressure gauge
Because this is an RSI built on aggregated open interest, its extremes and regimes speak to positioning pressure rather than price alone:
High OI RSI (near or above the upper threshold) indicates that open interest has been increasing aggressively relative to its recent history. This often coincides with crowded leverage and a buildup of directional pressure.
Low OI RSI (near or below the lower threshold) indicates aggressive de-leveraging or closing of positions, often associated with flushes, forced unwinds or post-liquidation clean-ups.
Values around the mid point indicate more balanced positioning flows.
You can combine this with price action:
Price up with rising OI RSI suggests fresh leverage joining the move, a more persistent trend.
Price up with falling OI RSI suggests shorts covering or longs taking profit, more fragile upside.
Price down with rising OI RSI suggests aggressive new shorts or levered selling.
Price down with falling OI RSI suggests de-leveraging and potential exhaustion of the move.
Trading applications
Trend confirmation on leverage flows
Use OI RSI to confirm or question a price trend:
In an uptrend, rising OI RSI with values above the mid point indicates supportive leverage flows.
In an uptrend, repeated failures to lift OI RSI above mid point or persistent weakness suggest less committed participation.
In a downtrend, strong OI RSI on the downside points to aggressive shorting.
Mean reversion in positioning
Use thresholds and the Mean-Rev highlight mode:
When OI RSI spends extended time above the upper threshold, the crowd is extended on one side. That can set up squeeze risk in the opposite direction.
When OI RSI has been pinned low, it suggests heavy de-leveraging. Once price stabilises, a re-risking phase is often not far away.
Background colours in Mean-Rev mode help visually identify these periods.
Regime mapping with plotting modes
Different plotting modes give different perspectives:
Heatmap mode for dashboard-style use where you just need to know "hot", "neutral" or "cold" on OI flows at a glance.
Oscillator mode for short term impulses and compression reads around the mid line. See:
Flag mode for blending level and trend of OI RSI into a single banded visual. See:
Settings overview
RSI group
Plotting Type – None, Line, Colored Line, Oscillator, Flag, Heatmap.
Calculation Period – base RSI length for OI.
Smoothing Period (SMA) – smoothing on RSI.
Moving Average group
Show EMA – toggle EMA overlay (not used in heatmap).
EMA Period – length of EMA on OI RSI.
EMA Color – colour of EMA line.
Thresholds group
Mid Point – central reference.
Extreme Upper Threshold and Extreme Lower Threshold – OB/OS thresholds.
Select Reference Lines – none, basic lines or OB/OS zone fills.
Extreme Highlighting – None, Mean-Rev, Trend.
Extra Plotting and UI
RSI Line Color and RSI Line Width .
Long/OB Color and Short/OS Color .
Show OI RSI Meter , OI RSI Blocks , OI RSI Meter Position .
Open Interest Source
OI Units – COIN or USD.
Exchange toggles: Binance, Bybit, OKX, Bitget, Kraken, HTX, Deribit.
Notes
This is a positioning and pressure tool, not a complete system. It:
Models aggregated futures open interest across multiple centralized exchanges.
Transforms that OI into an RSI-style oscillator for better comparability across regimes.
Offers several visual modes to match different workflows, from detailed analysis to compact dashboards.
Use it to understand how leverage and positioning are evolving behind the price, to gauge when the crowd is stretched, and to decide whether to lean with or against that pressure. Attach it to your existing signals, not in place of them.
Also, please check out @NoveltyTrade for the OI Aggregation logic & pulling the data source!
Here is the original script:
NeuroSwarm ETH — Crowd vs Experts Forecast TrackerEnglish:
NeuroSwarm — Crowd vs Experts Forecast Tracker (ETH)
This indicator visualizes monthly forecast data collected from two independent groups:
Crowd – a large sample of retail participants
Experts – a curated group of analysts and experienced market participants
For each month, the indicator plots the following values as horizontal levels on the price chart:
Median forecast (Crowd)
Average forecast (Crowd)
Median forecast (Experts)
Average forecast (Experts)
Shaded zones highlighting the difference between median and mean
All values are fixed for each month and stay unchanged historically.
This allows traders to analyze sentiment dynamics and compare how expectations from both groups align or diverge from actual price action.
Purpose:
This tool is intended for sentiment visualization and analytical insight — it does not generate trading signals.
Its main goal is to compare collective expectations of retail traders vs experts across time.
Data source:
All forecasts come from monthly surveys conducted within the NeuroSwarm project between the 1st and 5th day of each month.
Interface notice:
The script's UI may contain non-English labels for convenience, but a full English documentation is provided here in compliance with TradingView rules.
Русская версия:
NeuroSwarm — Мудрость Толпы vs Эксперты (ETH)
Индикатор отображает ежемесячные прогнозы двух групп:
Толпа: медиана и средняя прогнозов
Эксперты: медиана и средняя прогнозов
Значения фиксируются для каждого месяца и показываются горизонтальными уровнями.
Заливка отображает диапазон между медианой и средней, что упрощает визуальное сравнение настроений.
Это аналитический инструмент для визуализации настроений — не торговая стратегия.
Все данные берутся из ежемесячных опросов проекта NeuroSwarm.
NeuroSwarm BTC — Crowd vs Experts Forecast TrackerEnglish:
NeuroSwarm — Crowd vs Experts Forecast Tracker (BTC)
This indicator visualizes monthly forecasts collected from two independent groups:
Crowd – a large sample of retail traders
Experts – a smaller, curated group of analysts and experienced market participants
For each month, the following values are displayed as horizontal levels on the chart:
Median forecast of the Crowd
Average forecast of the Crowd
Median forecast of Experts
Average forecast of Experts
Shaded zones showing the range between median and mean
The values remain fixed throughout each month. This allows traders to compare sentiment dynamics between groups and see how expectations evolve relative to actual market movement.
Purpose:
This indicator is designed for sentiment analysis — NOT for generating trading signals.
It helps identify divergences between retail expectations and expert forecasts, which can be informative during trend transitions.
Data source:
All values come from monthly surveys conducted within the NeuroSwarm project (1–5 of every month).
Crowd and Expert groups are collected separately to avoid bias and to preserve independent aggregation.
Interface language note:
The indicator’s interface may contain non-English labels for ease of use, but full English documentation is provided here in compliance with TradingView House Rules.
Русская версия (optional, allowed only AFTER English):
NeuroSwarm — Мудрость Толпы vs Эксперты (BTC)
Индикатор показывает ежемесячные прогнозы двух групп:
Толпа: медиана и средняя прогнозов
Эксперты: медиана и средняя прогнозов
Значения фиксируются на весь месяц и отображаются на графике горизонтальными уровнями.
Заливка показывает диапазон между медианой и средней.
Цель индикатора — визуализировать настроение толпы и экспертов и сравнить его с реальным движением цены.
Это аналитический инструмент, а не торговая стратегия.
Данные берутся из ежемесячных опросов (1–5 числа), проводимых в рамках проекта NeuroSwarm.
COT Index & Positions by Novatrix CapitalThis indicator visualizes the positioning of the two main groups from the CFTC COT reports: Commercials and Retail (Non-Reportables / Small Traders). Each group is displayed in two ways:
Index (0–100) – normalized net positions to identify bullish or bearish extremes (standard cycle: 26 weeks, optionally 52 weeks).
Raw Net Positions – actual long minus short positions.
Color coding on the chart:
Commercial Index: Blue
Commercial Positions: Blue
Retail Index: Red
Retail Positions: Red
Additional features:
Reference lines for neutral, overbought, and oversold levels.
Helps traders analyze market sentiment and the positioning of major participant groups.
Important notice:
Since COT data is published only once per week and the COT Index is built on cyclical multi-week analysis, the indicator is intended to be used exclusively on the weekly timeframe.
The selected cycle length (typically 26 weeks, optionally 52 weeks) determines how net positions are compared and normalized, and can influence how quickly extreme zones appear in the index lines.
Strategy: HMA 50 + Supertrend SniperHMA 50 + Supertrend Confluence Strategy (Trend Following with Noise Filtering)
Description:
Introduction and Concept This strategy is designed to solve a common problem in trend-following trading: Lag vs. False Signals. Standard Moving Averages often lag too much, while price action indicators can generate false signals during choppy markets. This script combines the speed of the Hull Moving Average (HMA) with the volatility-based filtering of the Supertrend indicator to create a robust "Confluence System."
The primary goal of this script is not just to overlay two indicators, but to enforce a strict rule where a trade is only taken when Momentum (HMA) and Volatility Direction (Supertrend) are in perfect agreement.
Why this combination? (The Logic Behind the Mashup)
Hull Moving Average (HMA 50): We use the HMA because it significantly reduces lag compared to SMA or EMA by using weighted calculations. It acts as our primary Trend Direction detector. However, HMA can be too sensitive and "whipsaw" during sideways markets.
Supertrend (ATR-based): We use the Supertrend (Factor 3.0, Period 10) as our Volatility Filter. It uses Average True Range (ATR) to determine the significant trend boundary.
How it Works (Methodology) The strategy uses a boolean logic system to filter out low-quality trades:
Bullish Confluence: The HMA must be rising (Slope > 0) AND the Close Price must be above the Supertrend line (Uptrend).
Bearish Confluence: The HMA must be falling (Slope < 0) AND the Close Price must be below the Supertrend line (Downtrend).
The "Choppy Zone" (Noise Filter): This is a unique feature of this script. If the HMA indicates one direction (e.g., Rising) but the Supertrend indicates the opposite (e.g., Downtrend), the market is considered "Choppy" or indecisive. In this state, the script paints the candles or HMA line Gray and exits all positions (optional setting) to preserve capital.
Visual Guide & Signals To make the script easy to interpret for traders who do not read Pine Script, I have implemented specific visual cues:
Green Cross (+): Indicates a LONG entry signal. Both HMA and Supertrend align bullishly.
Red Cross (X): Indicates a SHORT entry signal. Both HMA and Supertrend align bearishly.
Thick Line (HMA): The main line changes color based on the trend.
Green: Bullish Confluence.
Red: Bearish Confluence.
Gray: Divergence/Choppy (No Trade Zone).
Thin Step Line: This is the Supertrend line, serving as your dynamic Trailing Stop Loss.
Strategy Settings
HMA Length: Default is 50 (Mid-term trend).
ATR Factor/Period: Default is 3.0/10 (Standard for trend catching).
Exit on Choppy: A toggle switch allowing users to decide whether to hold through noise or exit immediately when indicators disagree.
Risk Warning This strategy performs best in trending markets (Forex, Crypto, Indices). Like all trend-following systems, it may experience drawdown during prolonged accumulation/distribution phases. Please backtest with your specific asset before using it with real capital.
Adaptive Support and Resistance LevelsAdaptive Support and Resistance Levels
This indicator is a comprehensive institutional-grade trading tool designed to visualize Auction Market Theory (AMT), Support and Resistance concepts directly on the price chart. It is built for traders who require a deep understanding of market structure without the visual clutter of standard retail indicators.
Key Features:
1] Fractal Adaptive Engine:
The indicator automatically adjusts its calculations based on your timeframe.
-Intraday (1m-15m): Displays Daily Levels.
-Swing/Positional (30m-1H): Displays Weekly Levels.
-Long Term (Daily+): Displays Monthly Levels.
2]Untested Levels:
-Identifies levels from previous sessions that have not been tested by price.
-Extends these levels forward as "Magnets" until price touches them.
-Touch-Delete Logic: Once price interacts with a magnet, the line is automatically removed to keep the chart clean.
3] Institutional Dashboard:
- A "Flight Deck" table in the top-right corner provides real-time metrics:
-Context: Are we inside, above, or below the previous value zone?
-Auction State: Is the current market balanced or imbalanced?
-IB Status: Initial Balance (first 60 mins) breakout/breakdown status.
-Fuel Gauge: Measures current range vs. ADR (Average Daily Range) to gauge exhaustion.
-Volume Flow: Detects high-aggression volume relative to the average.
How to Use:
Trend Following: Look for price breaking out of the (Static Lines) , Pullback rejection, Rejection from the lines.
Reversion: Use the lower lines for bulls reversal and Upper lines for bears reversal ( Kind of reversal candle formation )
Risk Management: Use the ADR Fuel Gauge to avoid buying extended markets (>100% ADR).
Disclaimer: This tool is only for educational and analytical purposes only. Not any recommendation.
CoreEdgeTrader™ Quarterly EPSVisualized Quarterly EPS, including：
EPS: Reported EPS
Std EPS: Standardized EPS
Actual: real number
QoQ change
YoY change
By @CoreEdgeTrader
Unentangle – Probability‑Based Trend Indicator using Chan TheoryUnentangle – Probability‑Based Trend Indicator using Chan Theory
**Overview:**
Unentangle is a custom TradingView indicator inspired by Chan Theory (Chanlun).
It automatically detects and visualizes market structures such as Bi (Trend Stroke), Xian (Line Segment), and Pivot.
By combining structural recognition with statistical analysis of historical patterns, the script provides traders with probability-based buy/sell signals.
This helps traders make more confident, data-driven decisions rather than relying solely on alerts.
Why "Unentangle"?
Market data often looks tangled and chaotic, making it hard to see clear structures and its trend.
This indicator is designed to "un-entangle" the data, revealing Chan Theory patterns and its trend probability so traders can view the market more clearly and make confident decisions.
**Key Features:**
- Automatic recognition of Chanlun structures Bi(Trend Stroke), Xian(Line Segment), Pivot
- Visual drawing of Chanlun elements directly on the chart
- Probability calculations for up and down trends based on historical Chanlun top and bottom patterns
**How It Works:**
The script analyzes price movements to identify Chanlun structures.
It then visually draws Chanlun elements, making it easier to follow Chan Theory without manual plotting.
Once structures are detected, it calculates the statistical probability of signals based on similar historical Chanlun top and bottom setups.
This allows traders to evaluate the confidence level of trades based on current price action.
**Usage:**
Apply the indicator to a clean chart.
The script will automatically display Chanlun structures and probability-based signals.
Traders can use these signals as part of their decision-making process, combining them with their own strategies and risk management rules.
On the chart, a green box indicates an uptrend and a red box indicates a downtrend.
The percentage inside the box shows how much of the current trend has progressed.
For example, “83%” in a green box means the uptrend has already advanced 83%, with only 17% potential space remaining for up trend.
**Notes:**
- This script is closed-source, but its logic is based on Chan Theory principles and statistical analysis of historical Chanlun top/bottom price patterns.
- It is intended for educational and analytical purposes, not as financial advice.
Unentangle – 基于缠论结构的趋势概率指标
**概述：**
Unentangle 是一个基于缠论的 TradingView 自定义指标。
它能够自动识别并可视化市场结构，包括笔、线段和中枢。
通过结合结构识别与历史数据的统计分析，该脚本可以生成基于概率的买卖信号，
帮助交易者在决策时更有依据，而不仅仅依赖提示。
为什么叫 “Unentangle”？
市场数据常常像一团乱麻，难以看清结构。
这个指标的目的就是“解缠”，让缠论的结构及其概率清晰呈现，
帮助交易者更直观地理解市场并做出更有依据的决策。
**功能亮点：**
- 自动识别缠论结构（笔、线段、中枢）
- 在图表上直观绘制缠论元素
- 基于历史顶底数据的趋势概率计算
- 提供信号可信度评估，辅助交易决策
**工作原理：**
脚本会分析价格走势以识别缠论结构。
识别完成后，它会自动绘制缠论元素，使得学习和应用缠论更加直观，无需手动绘制。
同时，脚本会基于历史顶底形态计算趋势的统计概率，
帮助交易者评估当前价格下的交易可信度。
**使用方法：**
将指标应用到干净的图表上。
脚本会自动显示缠论结构和基于概率的信号。
交易者可以将这些信号作为决策参考，并结合自己的策略与风险管理规则。
在图表中，绿色方框表示当前处于上升趋势，红色方框表示下降趋势。
方框中的百分比表示当前趋势的进展程度。
例如，绿色方框显示“83%”意味着当前上升趋势已经完成了 83%，仅剩 17% 的上涨空间。
**注意事项：**
- 本脚本为闭源，但逻辑基于缠论原理与历史数据的统计分析。
- 本脚本仅用于教育与分析目的，不构成任何投资建议。
Adaptive Trend Mapper-ATM (Arjo)Adaptive Trend Mapper (ATM) is a multi-factor trend, momentum, and compression-analysis tool designed to help traders visually map the strength and direction of market pressure.
Instead of simply combining existing indicators, ATM creates a new composite framework that blends momentum imbalance, directional strength, volatility contraction, and adaptive smoothing into a single, unified model.
Originality and usefulness
Adaptive Trend Mapper (ATM) does not replicate any one indicator.
It generates two custom indices— Bull Pressure Index and Bear Pressure Index —derived from a mathematical combination of RSI, inverse-RSI, and ADX. These indices behave differently from traditional oscillators:
They represent directional pressure on a 0–100 scale , not momentum.
They are designed to converge/diverge, forming a basis for the built-in Squeeze Detection Engine.
They can be optionally step-compressed , making the movement easier to read on fast or small charts.
The script also integrates a custom SuperSmoother trend model (not TradingView’s built-in function), which acts as an adaptive trend curve on the chart.
All calculations are combined intentionally—not as a mashup—to create a framework that allows traders to understand trend strength, compression phases, and micro-trend shifts in one place.
How the Indicator Works
1. Bull & Bear Pressure Indices:
These indices measure directional imbalance:
Bull Index = ADX strength weighted against inverse-RSI
Bear Index = ADX strength weighted against normal RSI
This produces two opposing pressure curves that rise or fall depending on whether buyers or sellers dominate.
You can optionally smooth these using:
SMA / EMA / WMA / RMA via the “Smoothing Settings” panel.
2. Squeeze & Compression Detection:
A squeeze is detected when:
ADX stays below a user-defined threshold
Bull–Bear Index difference shrinks
Average difference is falling (convergence)
This is a volatility-contraction model inspired by squeeze logic but applied to directional pressure, not Bollinger Bands/Keltner Channels .
3. Adaptive Trend Curve (SuperSmoother Engine)
The indicator applies a two-pole SuperSmoother filter to the price, then smooths it again using EMA.
The slope color flips between bullish and bearish and is displayed using:
A thin SuperSmoother curve
A thicker band for visual context
4. EMA-50 Trend Context:
An optional EMA-50 helps identify broad directional bias .
5. Step-Based Scaling
You can quantize the Bull/Bear indices using custom step intervals.
This makes the indicator easier to read on noisy intraday charts.
How to Use the Indicator
1. Trend Analysis
A rising Bull Index shows strengthening upward pressure
A rising Bear Index shows strengthening downward pressure
Wide divergence between the indices signals a strong trend
2. Compression / Squeeze Analysis
Yellow background = volatility compression + pressure convergence
Breakouts from this zone often precede directional expansion
3. Trendline Reading
SuperSmoother line color flip = micro trend shift
EMA-50 slope gives macro-trend direction
Perfect for combining trend and momentum maps on the same chart
4. Visual Interpretation
Cyan/teal → strong bullish pressure
Purple/red/orange → various levels of bearish control
Neutral/teal background → weak ADX
Yellow background → squeeze zone
Open-Source Notes
This script uses:
TradingView built-in RSI, ADX/DMI, and smoothing functions
A SuperSmoother implementation based on known DSP filter coefficients
All remaining logic, signal methods, composite indices, and compression model are original developments by ARJO .
The script is published open-source to comply with TradingView’s reuse policy.
Disclaimer
This tool is for educational and analytical purposes only.
It does not generate buy or sell signals.
Always use proper risk management.
Happy Trading (ARJO)
QuantMotions - TPR Sentinel LineTPR Sentinel Line is an advanced adaptive Support/Resistance system that combines multi-layered trend analysis with a directional Time-Price Ratio (TPR) engine. The indicator dynamically builds a stabilized support or resistance line that adjusts to market volatility, trend strength, ATR expansion and contraction, and real-time slope changes.
This creates a high-precision, self-adjusting trend barrier that acts as support in uptrends, resistance in downtrends, and a neutral anchor during sideways phases.
Key Features
✔ Adaptive Trend Base
- A composite trend model blending:
- Kijun-style midpoint
- Donchian midline
- SMA & EMA smoothing
This creates a stable baseline that reacts smoothly but reliably to structural trend shifts.
✔ Directional TPR Calculation
The indicator measures slope across short, medium, and long trend windows, normalizes it with ATR, and determines:
- Trend direction
- Trend strength
- Momentum quality
✔ Dynamic Support/Resistance Line
Depending on trend direction:
- In uptrends → the line becomes adaptive support
- In downtrends → the line becomes adaptive resistance
- In neutral phases → the line centers around the smoothed trend base
A built-in lag factor prevents unrealistic jumps and keeps the level stable.
✔ Automatic Support/Resistance Zones
The indicator expands the main line into upper and lower zones based on ATR and trend strength, creating a dynamic volatility envelope around the trend structure.
✔ Signals & Alerts
- Support bounce
- Resistance rejection
- Breakouts above/below the dynamic line
These events help identify high-probability continuation or reversal moments.
✔ Information Panel
A real-time status table displays:
- Trend direction
- Trend strength
- Current S/R level
🎯 Ideal For
- Precision entries on pullbacks
- Detecting trend shifts earlier
- Identifying strong or weak trend phases
- Adaptive take-profit and stop-loss zones
- Filtering false breakouts
💡 Summary
TPR Sentinel Line gives you a living, breathing support/resistance structure that evolves with the market.
Instead of relying on static levels, you get a continuously adapting trend barrier that reflects real strength, real volatility, and real momentum.
A powerful tool for traders who want structure, clarity, and trend confidence.
Filter Ribbon1. Indicator Name
Filter Ribbon
2. One-line Introduction
A trend visualization ribbon that uses linear regression and directional scoring to highlight bullish and bearish strength with intuitive color gradients.
3. General Overview
Filter Ribbon is a minimalistic yet powerful trend visualization tool that leverages linear regression slope ordering to determine directional momentum. It analyzes the ordering of regression values over a defined lookback period and quantifies how consistently the price has been trending upward or downward.
Using a pairwise comparison system, it calculates a trend "score" and compares this to a configurable threshold to determine if a bullish, bearish, or neutral condition exists.
The result is a color-coded ribbon that sits over the chart, changing hue and opacity based on both the direction and strength of the trend. The stronger the directional alignment, the more opaque the ribbon becomes, offering traders a fast, intuitive way to assess market sentiment at a glance.
It also includes an optional linear regression line to further help visualize the central trend.
This indicator is best used in trend-following systems or as a dynamic background layer when combined with signal-based strategies.
Thanks to its efficient design and protected logic, Filter Ribbon offers high-performance visualization without compromising strategy integrity.
4. Key Advantages
🌈 Visual Trend Heatmap
Dynamic color ribbon gives real-time visual feedback on both trend direction and strength.
🔢 Quantified Trend Scoring
Calculates a mathematically sound trend score using pairwise linear regression comparisons.
⚖️ Adjustable Sensitivity
Users can tune lookback and threshold parameters to fit different asset classes and timeframes.
📉 Smooth Ribbon Effect
Plots upper/lower bands around regression line with smooth filling for a professional chart look.
🎯 Precise Trend Confirmation
Acts as a confidence layer for other entry/exit signals by confirming broader trend bias.
🔒 Secure and Minimal Codebase
Core logic is embedded securely with minimal exposure, reducing risk of replication or misuse.
📘 Indicator User Guide
📌 Basic Concept
Filter Ribbon determines trend direction and intensity by comparing the order of linear regression values over time.
It forms a ribbon on the chart that changes color based on trend direction and opacity based on trend strength.
This makes it ideal for identifying clear trending periods vs. uncertain consolidations.
⚙️ Settings Explained
Lookback Period: Number of bars for scoring the trend direction (higher = smoother trend)
Range Tolerance (%): Determines how aggressive the trend classification is (lower = stricter)
Regression Length: Period for calculating the base linear regression line
Ribbon Colors: Customize colors for bullish and bearish conditions
📈 Bullish Timing Example
Ribbon color is green and becomes increasingly opaque
Regression line slopes upward and price remains above it
Can be used as trend confirmation for long trades
📉 Bearish Timing Example
Ribbon color is red with higher opacity
Price consistently below the regression line
Useful for confirming short trade setups or avoiding long entries
🧪 Recommended Use Cases
Combine with breakout indicators to validate if the breakout aligns with broader trend
Use in swing or trend-following strategies as a background filter
Helps filter out trades during unclear, sideways market conditions
🔒 Precautions
Not a signal generator on its own — meant for trend context only
Ribbon may lag slightly during sudden trend reversals; best used with reactive entry tools
Always test ribbon parameters on your specific market/timeframe before applying live
Avoid using solely in low-volatility or flat markets — sensitivity may require tuning
+++
