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Analyse de la tendance

cd_cisd_market_CxHi Traders, Overview: Many traders follow market structure to identify the market direction and seek trade opportunities in line with the trend. However, markings derived from user-defined inputs can create different structures, depending on personal choices. For instance, choosing a pivot distance of 3 instead of 2 alters the structure, even though the chart remains the same. Ideally, the structure should remain consistent. "Change in State Delivery" ( CISD ) is a widely accepted concept among traders and is considered a significant indicator of market direction based on the gain/loss of CISD levels. In this indicator, CISD is selected as the primary criterion for marking market structure, eliminating the influence of user-dependent variations. Here is a summary of the key logic and rules applied: • When the price forms a new high/low, that level is only considered a pivot if a CISD has occurred. • A bullish CISD is always followed by a bearish CISD, and vice versa. • Pivot points form the internal structure. • The internal structure is used to interpret the swing structure. • Probabilities are derived from internal structure patterns. ________________________________________ Details: How is CISD determined? As is commonly known: • When price makes a new high, the opening level of the first candle in the consecutive bullish candle sequence is marked. • When price makes a new low, the opening of the first candle in the consecutive bearish sequence is marked. • If there’s only one candle in the sequence, its opening level is used. In a bullish market, losing a bearish CISD level (i.e., a close below it) or in a bearish market, gaining a bullish CISD level (i.e., a close above it) is interpreted as a potential shift in buyer-seller dominance and a possible market reversal. ________________________________________ How are internal (pivot) levels determined? • When price closes below a bearish CISD level, the highest candle's high becomes a pivot high (PH). • When price closes above a bullish CISD level, the lowest candle's low becomes a pivot low (PL). • If the new PH is above the previous PH, it’s labeled as HH (Higher High); otherwise, LH (Lower High). • If the new PL is below the previous PL, it’s labeled as LL (Lower Low); otherwise, HL (Higher Low). ________________________________________ Internal Market Structure: • A series of HHs indicates a bullish internal structure. • A series of LLs indicates a bearish internal structure. ________________________________________ Swing (Main) Market Structure: Using internal pivots and previous swing levels, the main market structure is derived. • A new swing high (SH) requires the price to move above the previous SH. • A new swing low (SL) requires the price to move below the previous SL. ________________________________________ Probability Calculation: Pivot levels forming the internal structure are coded as five-element sequences. There are 64 possible combinations of such sequences made from consecutive PH and PL values. Each pattern’s frequency from its starting candle is tracked. To make it more understandable: For example, after the four-sequence “HH, LL, LH,HL”, either HH or LH might follow. The table shows the statistical likelihood of both possible outcomes for the most recent four-element sequence on the chart. ________________________________________ How reliable is it? To assess reliability, results are calculated from the beginning using: Success Rate (Suc. Rt) = Number of Correct Predictions / Total Predictions This value is added to the table for reference. It’s important to note that no statistical outcome guarantees certainty—every result offers a different interpretation. What truly matters is to avoid getting stopped out 😊. ________________________________________ Menu Options: Show/hide preferences and color selections can be customized via the indicator menu. ________________________________________ What’s Coming in Future Versions? Features such as FVG (Fair Value Gaps) between swing levels, volume imbalances, order blocks / mitigation blocks, Fibonacci levels, and relevant trade suggestions will be added. ________________________________________ This is a BETA version that I believe will help simplify your market reading. I’d be happy to hear your feedback and suggestions. Cheerful Trading!
Indicateur Pine Script®
par cdikici71
4
CoffeeShopCrypto Supertrend Liquidity EngineMost SuperTrend indicators use fixed ATR multipliers that ignore context—forcing traders to constantly tweak settings that rarely adapt well across timeframes or assets. This Supertrend is a nodd to and a more completion of the work done by Olivier Seban ( @olivierseban ) This version replaces guesswork with an adaptive factor based on prior session volatility, dynamically adjusting stops to match current conditions. It also introduces liquidity-aware zones, real-time strength histograms, and a visual control panel—making your stoploss smarter, more responsive, and aligned with how the market actually moves. 📏 The Multiplier Problem & Adaptive Factor Solution Traditional SuperTrend indicators rely on fixed ATR multipliers—often arbitrary numbers like 1.5, 2, or 3. The issue? No logical basis ties these values to actual market conditions. What works on a 5-minute Nasdaq chart fails on a daily EUR/USD chart. Traders spend hours tweaking multipliers per asset, timeframe, or volatility phase—and still end up with stoplosses that are either too tight or too loose. Worse, the market doesn’t care about your setting—it behaves according to underlying volatility, not your parameter. This version fixes that by automating the multiplier selection entirely. It uses a 4-zone model based on the current ATR relative to the previous session’s ATR, dynamically adjusting the SuperTrend factor to match current volatility. It eliminates guesswork, adapts to the asset and timeframe, and ensures you’re always using a context-aware stoploss—one that evolves with the market instead of fighting it. ATR EXAMPLE Let’s say prior session ATR = 2.00 Now suppose current ATR = 0.32 This places us in Zone 1 (Very Low Volatility) It doesn’t imply "overbought" or "oversold" — it tells you the market is moving very little, which often means: Lower risk | Smaller stops | Smaller opportunities (and losses) 🔁 Liquidity Zones vs. Arbitrary Pullbacks The standard SuperTrend stop loss line often looks like price “barely misses it” before continuing its trend. Traders call this "stop hunting," but what’s really happening is liquidity collection—price pulls back into a zone rich in orders before continuing. The problem? The old SuperTrend doesn’t show this zone. It only draws the outer limit, leaving no visual cue for where entries or continuation moves might realistically originate. This script introduces 2 levels in the Liquidity Zone. One for Support and one for Stophunts, which draw dynamically between the current price and the SuperTrend line. These levels reflect where the market is most likely to revisit before resuming the trend. By visualizing the area just above the Supertrend stop loss, you can anticipate pullbacks, spot ideal re-entries, and avoid premature exits. This bridges the gap between mechanical stoploss logic and real-world liquidity behavior. ⏳ Prior Session ATR vs. Live ATR Using real-time ATR to determine movement potential is like driving by looking in your rearview mirror. It’s reactive, not predictive. Traders often base decisions on live ATR, unaware that today’s range is still unfolding —creating volatility mismatches between what’s calculated and what actually matters. Since ATR reflects range, calculating it mid-session gives an incomplete and misleading picture of true volatility. Instead, this system uses the ATR from the previous session , anchoring your volatility assumptions in a fully-formed price structure . It tells you how far price moved in the last full market phase—be it London, New York, or Tokyo—giving you a more reliable gauge of expected range today. This is a smarter way to estimate how far price could move rather than how far it has moved. The Smoothing function will take the ATR, Support, Resistance, Stophunt Levels, and the Moving Avearage and smooth them by the calculation you choose. It will also plot a moving average on your chart against closing prices by the smoothing function you choose. 🧭 Scalping vs. Trending Modes The market moves in at least 4 phases. Trending, Ranging, Consolidation, Distribution. Every trader has a different style —some scalp low-volatility moves during off-hours, while others ride macro trends across days. The problem with classic SuperTrend? It treats every market condition the same. A fixed system can’t possibly provide proper stoploss spacing for both a fast scalp and a long-term swing. Traders are forced to rebuild their system every time the market changes character or the session shifts. This version solves that with a simple toggle: Scalping or Trend Mode . With one switch, it inverts the logic of the adaptive factor to either tighten or loosen your trailing stops. During low-liquidity hours or consolidation phases, Scalping Mode offers snug stoplosses. During expansion or clear directional bias. Trend Mode lets the trade breathe. This is flexibility built directly into the logic—not something you have to recalibrate manually. 📉 Histogram Oscillator for Move Strength In legacy indicators, there’s no built-in way to gauge when the move is losing power . Traders rely on price action or momentum indicators to guess if a trend is fading. But this adds clutter, lag, and often contradiction. The classic SuperTrend doesn’t offer insight into how strong or weak the current trend leg is—only whether price has crossed a line. This version includes a Trending Liquidity Histogram —a histogram that shows whether the liquidity in the SuperTrend zone is expanding or compressing. When the bars weaken or cross toward zero, it signals liquidity exhaustion . This early warning gives you time to prep for reversals or anticipate pullbacks. It even adapts visually depending on your trading mode, showing color-coded signals for scalping vs. trending behavior. It's both a strength gauge and a trade timing tool—built into your stoploss logic. Histogram in Scalping Mode Histogram in Trending Mode 📊 Visual Table for Real-Time Clarity A major issue with custom indicators is opacity —you don’t always know what settings or values are currently being used. Even worse, if your dynamic logic changes mid-trade, you may not notice unless you go digging into the code or logs. This can create confusion, especially for discretionary traders. This SuperTrend solves it with a clean visual summary table right on your chart. It shows your current ATR value, adaptive multiplier, trailing stop level, and whether a new zone size is active. That means no surprises and no second-guessing—everything important is visible and updated in real-time.
Indicateur Pine Script®
par CoffeeshopCrypto
3
Bitcoin Power Law [LuxAlgo]The Bitcoin Power Law tool is a representation of Bitcoin prices first proposed by Giovanni Santostasi, Ph.D. It plots BTCUSD daily closes on a log10-log10 scale, and fits a linear regression channel to the data. This channel helps traders visualise when the price is historically in a zone prone to tops or located within a discounted zone subject to future growth. 🔶 USAGE Giovanni Santostasi, Ph.D. originated the Bitcoin Power-Law Theory; this implementation places it directly on a TradingView chart. The white line shows the daily closing price, while the cyan line is the best-fit regression. A channel is constructed from the linear fit root mean squared error (RMSE), we can observe how price has repeatedly oscillated between each channel areas through every bull-bear cycle. Excursions into the upper channel area can be followed by price surges and finishing on a top, whereas price touching the lower channel area coincides with a cycle low. Users can change the channel areas multipliers, helping capture moves more precisely depending on the intended usage. This tool only works on the daily BTCUSD chart. Ticker and timeframe must match exactly for the calculations to remain valid. 🔹 Linear Scale Users can toggle on a linear scale for the time axis, in order to obtain a higher resolution of the price, (this will affect the linear regression channel fit, making it look poorer). 🔶 DETAILS One of the advantages of the Power Law Theory proposed by Giovanni Santostasi is its ability to explain multiple behaviors of Bitcoin. We describe some key points below. 🔹 Power-Law Overview A power law has the form y = A·xⁿ , and Bitcoin’s key variables follow this pattern across many orders of magnitude. Empirically, price rises roughly with t⁶, hash-rate with t¹² and the number of active addresses with t³. When we plot these on log-log axes they appear as straight lines, revealing a scale-invariant system whose behaviour repeats proportionally as it grows. 🔹 Feedback-Loop Dynamics Growth begins with new users, whose presence pushes the price higher via a Metcalfe-style square-law. A richer price pool funds more mining hardware; the Difficulty Adjustment immediately raises the hash-rate requirement, keeping profit margins razor-thin. A higher hash rate secures the network, which in turn attracts the next wave of users. Because risk and Difficulty act as braking forces, user adoption advances as a power of three in time rather than an unchecked S-curve. This circular causality repeats without end, producing the familiar boom-and-bust cadence around the long-term power-law channel. 🔹 Scale Invariance & Predictions Scale invariance means that enlarging the timeline in log-log space leaves the trajectory unchanged. The same geometric proportions that described the first dollar of value can therefore extend to a projected million-dollar bitcoin, provided no catastrophic break occurs. Institutional ETF inflows supply fresh capital but do not bend the underlying slope; only a persistent deviation from the line would falsify the current model. 🔹 Implications The theory assigns scarcity no direct role; iterative feedback and the Difficulty Adjustment are sufficient to govern Bitcoin’s expansion. Long-term valuation should focus on position within the power-law channel, while bubbles—sharp departures above trend that later revert—are expected punctuations of an otherwise steady climb. Beyond about 2040, disruptive technological shifts could alter the parameters, but for the next order of magnitude the present slope remains the simplest, most robust guide. Bitcoin behaves less like a traditional asset and more like a self-organising digital organism whose value, security, and adoption co-evolve according to immutable power-law rules. 🔶 SETTINGS 🔹 General Start Calculation: Determine the start date used by the calculation, with any prior prices being ignored. (default - 15 Jul 2010) Use Linear Scale for X-Axis: Convert the horizontal axis from log(time) to linear calendar time 🔹 Linear Regression Show Regression Line: Enable/disable the central power-law trend line Regression Line Color: Choose the colour of the regression line Mult 1: Toggle line & fill, set multiplier (default +1), pick line colour and area fill colour Mult 2: Toggle line & fill, set multiplier (default +0.5), pick line colour and area fill colour Mult 3: Toggle line & fill, set multiplier (default -0.5), pick line colour and area fill colour Mult 4: Toggle line & fill, set multiplier (default -1), pick line colour and area fill colour 🔹 Style Price Line Color: Select the colour of the BTC price plot Auto Color: Automatically choose the best contrast colour for the price line Price Line Width: Set the thickness of the price line (1 – 5 px) Show Halvings: Enable/disable dotted vertical lines at each Bitcoin halving Halvings Color: Choose the colour of the halving lines
Indicateur Pine Script®
par LuxAlgo
2
Supply/Demand Zones (Synthetic SMA Candles)Supply/Demand Zones (Synthetic SMA Candles) Created by The_Forex_Steward This indicator highlights institutional-style supply and demand zones using synthetic SMA-based candles rather than raw price data. It provides a smoother, more refined view of price action to help identify key imbalance areas where price is likely to react. Features: - Uses SMA-smoothed synthetic candles to detect bullish and bearish engulfing structures - Draws demand zones after bullish breakouts and supply zones after bearish breakouts - Zones are persistent for a customizable number of bars - Mitigated zones can optionally be removed from the chart - Includes alerts for breakout and mitigation events - Optional plotting of synthetic candles over price for visual clarity How It Works: When a synthetic candle closes above the high of a previous bearish candle, a bullish engulfing is detected, and a demand zone is created from that bearish candle’s high and low. Conversely, when price closes below the low of a previous bullish candle, a supply zone is formed. These zones stay on the chart for the user-defined duration or until they are mitigated by price, at which point they can be removed automatically. How to Use: - Adjust the SMA Length to control how smooth the synthetic candles appear - Enable or disable Show Supply Zones and Show Demand Zones as needed - Set the Zone Duration to control how long each zone persists - Use Delete Mitigated Zones to automatically remove zones when price returns to them - Optionally enable Show Synthetic SMA Candles to see the candle logic used in detection - Use the built-in alerts to stay notified of new zone creation or mitigation Note: This tool is most effective when combined with structure or trend-based strategies for confirmation.
Indicateur Pine Script®
par The_Forex_Steward
2
Trend Gauge [BullByte]Trend Gauge Summary A multi-factor trend detection indicator that aggregates EMA alignment, VWMA momentum scaling, volume spikes, ATR breakout strength, higher-timeframe confirmation, ADX-based regime filtering, and RSI pivot-divergence penalty into one normalized trend score. It also provides a confidence meter, a Δ Score momentum histogram, divergence highlights, and a compact, scalable dashboard for at-a-glance status. ________________________________________ ## 1. Purpose of the Indicator Why this was built Traders often monitor several indicators in parallel - EMAs, volume signals, volatility breakouts, higher-timeframe trends, ADX readings, divergence alerts, etc., which can be cumbersome and sometimes contradictory. The “Trend Gauge” indicator was created to consolidate these complementary checks into a single, normalized score that reflects the prevailing market bias (bullish, bearish, or neutral) and its strength. By combining multiple inputs with an adaptive regime filter, scaling contributions by magnitude, and penalizing weakening signals (divergence), this tool aims to reduce noise, highlight genuine trend opportunities, and warn when momentum fades. Key Design Goals Signal Aggregation Merged trend-following signals (EMA crossover, ATR breakout, higher-timeframe confirmation) and momentum signals (VWMA thrust, volume spikes) into a unified score that reflects directional bias more holistically. Market Regime Awareness Implemented an ADX-style filter to distinguish between trending and ranging markets, reducing the influence of trend signals during sideways phases to avoid false breakouts. Magnitude-Based Scaling Replaced binary contributions with scaled inputs: VWMA thrust and ATR breakout are weighted relative to recent averages, allowing for more nuanced score adjustments based on signal strength. Momentum Divergence Penalty Integrated pivot-based RSI divergence detection to slightly reduce the overall score when early signs of momentum weakening are detected, improving risk-awareness in entries. Confidence Transparency Added a live confidence metric that shows what percentage of enabled sub-indicators currently agree with the overall bias, making the scoring system more interpretable. Momentum Acceleration Visualization Plotted the change in score (Δ Score) as a histogram bar-to-bar, highlighting whether momentum is increasing, flattening, or reversing, aiding in more timely decision-making. Compact Informational Dashboard Presented a clean, scalable dashboard that displays each component’s status, the final score, confidence %, detected regime (Trending/Ranging), and a labeled strength gauge for quick visual assessment. ________________________________________ ## 2. Why a Trader Should Use It Main benefits and use cases 1. Unified View: Rather than juggling multiple windows or panels, this indicator delivers a single score synthesizing diverse signals. 2. Regime Filtering: In ranging markets, trend signals often generate false entries. The ADX-based regime filter automatically down-weights trend-following components, helping you avoid chasing false breakouts. 3. Nuanced Momentum & Volatility: VWMA and ATR breakout contributions are normalized by recent averages, so strong moves register strongly while smaller fluctuations are de-emphasized. 4. Early Warning of Weakening: Pivot-based RSI divergence is detected and used to slightly reduce the score when price/momentum diverges, giving a cautionary signal before a full reversal. 5. Confidence Meter: See at a glance how many sub-indicators align with the aggregated bias (e.g., “80% confidence” means 4 out of 5 components agree ). This transparency avoids black-box decisions. 6. Trend Acceleration/Deceleration View: The Δ Score histogram visualizes whether the aggregated score is rising (accelerating trend) or falling (momentum fading), supplementing the main oscillator. 7. Compact Dashboard: A corner table lists each check’s status (“Bull”, “Bear”, “Flat” or “Disabled”), plus overall Score, Confidence %, Regime, Trend Strength label, and a gauge bar. Users can scale text size (Normal, Small, Tiny) without removing elements, so the full picture remains visible even in compact layouts. 8. Customizable & Transparent: All components can be enabled/disabled and parameterized (lengths, thresholds, weights). The full Pine code is open and well-commented, letting users inspect or adapt the logic. 9. Alert-ready: Built-in alert conditions fire when the score crosses weak thresholds to bullish/bearish or returns to neutral, enabling timely notifications. ________________________________________ ## 3. Component Rationale (“Why These Specific Indicators?”) Each sub-component was chosen because it adds complementary information about trend or momentum: 1. EMA Cross o Basic trend measure: compares a faster EMA vs. a slower EMA. Quickly reflects trend shifts but by itself can whipsaw in sideways markets. 2. VWMA Momentum o Volume-weighted moving average change indicates momentum with volume context. By normalizing (dividing by a recent average absolute change), we capture the strength of momentum relative to recent history. This scaling prevents tiny moves from dominating and highlights genuinely strong momentum. 3. Volume Spikes o Sudden jumps in volume combined with price movement often accompany stronger moves or reversals. A binary detection (+1 for bullish spike, -1 for bearish spike) flags high-conviction bars. 4. ATR Breakout o Detects price breaking beyond recent highs/lows by a multiple of ATR. Measures breakout strength by how far beyond the threshold price moves relative to ATR, capped to avoid extreme outliers. This gives a volatility-contextual trend signal. 5. Higher-Timeframe EMA Alignment o Confirms whether the shorter-term trend aligns with a higher timeframe trend. Uses request.security with lookahead_off to avoid future data. When multiple timeframes agree, confidence in direction increases. 6. ADX Regime Filter (Manual Calculation) o Computes directional movement (+DM/–DM), smoothes via RMA, computes DI+ and DI–, then a DX and ADX-like value. If ADX ≥ threshold, market is “Trending” and trend components carry full weight; if ADX < threshold, “Ranging” mode applies a configurable weight multiplier (e.g., 0.5) to trend-based contributions, reducing false signals in sideways conditions. Volume spikes remain binary (optional behavior; can be adjusted if desired). 7. RSI Pivot-Divergence Penalty o Uses ta.pivothigh / ta.pivotlow with a lookback to detect pivot highs/lows on price and corresponding RSI values. When price makes a higher high but RSI makes a lower high (bearish divergence), or price makes a lower low but RSI makes a higher low (bullish divergence), a divergence signal is set. Rather than flipping the trend outright, the indicator subtracts (or adds) a small penalty (configurable) from the aggregated score if it would weaken the current bias. This subtle adjustment warns of weakening momentum without overreacting to noise. 8. Confidence Meter o Counts how many enabled components currently agree in direction with the aggregated score (i.e., component sign × score sign > 0). Displays this as a percentage. A high percentage indicates strong corroboration; a low percentage warns of mixed signals. 9. Δ Score Momentum View o Plots the bar-to-bar change in the aggregated score (delta_score = score - score ) as a histogram. When positive, bars are drawn in green above zero; when negative, bars are drawn in red below zero. This reveals acceleration (rising Δ) or deceleration (falling Δ), supplementing the main oscillator. 10. Dashboard • A table in the indicator pane’s top-right with 11 rows: 1. EMA Cross status 2. VWMA Momentum status 3. Volume Spike status 4. ATR Breakout status 5. Higher-Timeframe Trend status 6. Score (numeric) 7. Confidence % 8. Regime (“Trending” or “Ranging”) 9. Trend Strength label (e.g., “Weak Bullish Trend”, “Strong Bearish Trend”) 10. Gauge bar visually representing score magnitude • All rows always present; size_opt (Normal, Small, Tiny) only changes text size via text_size, not which elements appear. This ensures full transparency. ________________________________________ ## 4. What Makes This Indicator Stand Out • Regime-Weighted Multi-Factor Score: Trend and momentum signals are adaptively weighted by market regime (trending vs. ranging) , reducing false signals. • Magnitude Scaling: VWMA and ATR breakout contributions are normalized by recent average momentum or ATR, giving finer gradation compared to simple ±1. • Integrated Divergence Penalty: Divergence directly adjusts the aggregated score rather than appearing as a separate subplot; this influences alerts and trend labeling in real time. • Confidence Meter: Shows the percentage of sub-signals in agreement, providing transparency and preventing blind trust in a single metric. • Δ Score Histogram Momentum View: A histogram highlights acceleration or deceleration of the aggregated trend score, helping detect shifts early. • Flexible Dashboard: Always-visible component statuses and summary metrics in one place; text size scaling keeps the full picture available in cramped layouts. • Lookahead-Safe HTF Confirmation: Uses lookahead_off so no future data is accessed from higher timeframes, avoiding repaint bias. • Repaint Transparency: Divergence detection uses pivot functions that inherently confirm only after lookback bars; description documents this lag so users understand how and when divergence labels appear. • Open-Source & Educational: Full, well-commented Pine v6 code is provided; users can learn from its structure: manual ADX computation, conditional plotting with series = show ? value : na, efficient use of table.new in barstate.islast, and grouped inputs with tooltips. • Compliance-Conscious: All plots have descriptive titles; inputs use clear names; no unnamed generic “Plot” entries; manual ADX uses RMA; all request.security calls use lookahead_off. Code comments mention repaint behavior and limitations. ________________________________________ ## 5. Recommended Timeframes & Tuning • Any Timeframe: The indicator works on small (e.g., 1m) to large (daily, weekly) timeframes. However: o On very low timeframes (<1m or tick charts), noise may produce frequent whipsaws. Consider increasing smoothing lengths, disabling certain components (e.g., volume spike if volume data noisy), or using a larger pivot lookback for divergence. o On higher timeframes (daily, weekly), consider longer lookbacks for ATR breakout or divergence, and set Higher-Timeframe trend appropriately (e.g., 4H HTF when on 5 Min chart). • Defaults & Experimentation: Default input values are chosen to be balanced for many liquid markets. Users should test with replay or historical analysis on their symbol/timeframe and adjust: o ADX threshold (e.g., 20–30) based on instrument volatility. o VWMA and ATR scaling lengths to match average volatility cycles. o Pivot lookback for divergence: shorter for faster markets, longer for slower ones. • Combining with Other Analysis: Use in conjunction with price action, support/resistance, candlestick patterns, order flow, or other tools as desired. The aggregated score and alerts can guide attention but should not be the sole decision-factor. ________________________________________ ## 6. How Scoring and Logic Works (Step-by-Step) 1. Compute Sub-Scores o EMA Cross: Evaluate fast EMA > slow EMA ? +1 : fast EMA < slow EMA ? -1 : 0. o VWMA Momentum: Calculate vwma = ta.vwma(close, length), then vwma_mom = vwma - vwma . Normalize: divide by recent average absolute momentum (e.g., ta.sma(abs(vwma_mom), lookback)), clip to . o Volume Spike: Compute vol_SMA = ta.sma(volume, len). If volume > vol_SMA * multiplier AND price moved up ≥ threshold%, assign +1; if moved down ≥ threshold%, assign -1; else 0. o ATR Breakout: Determine recent high/low over lookback. If close > high + ATR*mult, compute distance = close - (high + ATR*mult), normalize by ATR, cap at a configured maximum. Assign positive contribution. Similarly for bearish breakout below low. o Higher-Timeframe Trend: Use request.security(..., lookahead=barmerge.lookahead_off) to fetch HTF EMAs; assign +1 or -1 based on alignment. 2. ADX Regime Weighting o Compute manual ADX: directional movements (+DM, –DM), smoothed via RMA, DI+ and DI–, then DX and ADX via RMA. If ADX ≥ threshold, market is considered “Trending”; otherwise “Ranging.” o If trending, trend-based contributions (EMA, VWMA, ATR, HTF) use full weight = 1.0. If ranging, use weight = ranging_weight (e.g., 0.5) to down-weight them. Volume spike stays binary ±1 (optional to change if desired). 3. Aggregate Raw Score o Sum weighted contributions of all enabled components. Count the number of enabled components; if zero, default count = 1 to avoid division by zero. 4. Divergence Penalty o Detect pivot highs/lows on price and corresponding RSI values, using a lookback. When price and RSI diverge (bearish or bullish divergence), check if current raw score is in the opposing direction:  If bearish divergence (price higher high, RSI lower high) and raw score currently positive, subtract a penalty (e.g., 0.5).  If bullish divergence (price lower low, RSI higher low) and raw score currently negative, add a penalty. o This reduces score magnitude to reflect weakening momentum, without flipping the trend outright. 5. Normalize and Smooth o Normalized score = (raw_score / number_of_enabled_components) * 100. This yields a roughly range. o Optional EMA smoothing of this normalized score to reduce noise. 6. Interpretation o Sign: >0 = net bullish bias; <0 = net bearish bias; near zero = neutral. o Magnitude Zones: Compare |score| to thresholds (Weak, Medium, Strong) to label trend strength (e.g., “Weak Bullish Trend”, “Medium Bearish Trend”, “Strong Bullish Trend”). o Δ Score Histogram: The histogram bars from zero show change from previous bar’s score; positive bars indicate acceleration, negative bars indicate deceleration. o Confidence: Percentage of sub-indicators aligned with the score’s sign. o Regime: Indicates whether trend-based signals are fully weighted or down-weighted. ________________________________________ ## 7. Oscillator Plot & Visualization: How to Read It Main Score Line & Area The oscillator plots the aggregated score as a line, with colored fill: green above zero for bullish area, red below zero for bearish area. Horizontal reference lines at ±Weak, ±Medium, and ±Strong thresholds mark zones: crossing above +Weak suggests beginning of bullish bias, above +Medium for moderate strength, above +Strong for strong trend; similarly for bearish below negative thresholds. Δ Score Histogram If enabled, a histogram shows score - score . When positive, bars appear in green above zero, indicating accelerating bullish momentum; when negative, bars appear in red below zero, indicating decelerating or reversing momentum. The height of each bar reflects the magnitude of change in the aggregated score from the prior bar. Divergence Highlight Fill If enabled, when a pivot-based divergence is confirmed: • Bullish Divergence : fill the area below zero down to –Weak threshold in green, signaling potential reversal from bearish to bullish. • Bearish Divergence : fill the area above zero up to +Weak threshold in red, signaling potential reversal from bullish to bearish. These fills appear with a lag equal to pivot lookback (the number of bars needed to confirm the pivot). They do not repaint after confirmation, but users must understand this lag. Trend Direction Label When score crosses above or below the Weak threshold, a small label appears near the score line reading “Bullish” or “Bearish.” If the score returns within ±Weak, the label “Neutral” appears. This helps quickly identify shifts at the moment they occur. Dashboard Panel In the indicator pane’s top-right, a table shows: 1. EMA Cross status: “Bull”, “Bear”, “Flat”, or “Disabled” 2. VWMA Momentum status: similarly 3. Volume Spike status: “Bull”, “Bear”, “No”, or “Disabled” 4. ATR Breakout status: “Bull”, “Bear”, “No”, or “Disabled” 5. Higher-Timeframe Trend status: “Bull”, “Bear”, “Flat”, or “Disabled” 6. Score: numeric value (rounded) 7. Confidence: e.g., “80%” (colored: green for high, amber for medium, red for low) 8. Regime: “Trending” or “Ranging” (colored accordingly) 9. Trend Strength: textual label based on magnitude (e.g., “Medium Bullish Trend”) 10. Gauge: a bar of blocks representing |score|/100 All rows remain visible at all times; changing Dashboard Size only scales text size (Normal, Small, Tiny). ________________________________________ ## 8. Example Usage (Illustrative Scenario) Example: BTCUSD 5 Min 1. Setup: Add “Trend Gauge ” to your BTCUSD 5 Min chart. Defaults: EMAs (8/21), VWMA 14 with lookback 3, volume spike settings, ATR breakout 14/5, HTF = 5m (or adjust to 4H if preferred), ADX threshold 25, ranging weight 0.5, divergence RSI length 14 pivot lookback 5, penalty 0.5, smoothing length 3, thresholds Weak=20, Medium=50, Strong=80. Dashboard Size = Small. 2. Trend Onset: At some point, price breaks above recent high by ATR multiple, volume spikes upward, faster EMA crosses above slower EMA, HTF EMA also bullish, and ADX (manual) ≥ threshold → aggregated score rises above +20 (Weak threshold) into +Medium zone. Dashboard shows “Bull” for EMA, VWMA, Vol Spike, ATR, HTF; Score ~+60–+70; Confidence ~100%; Regime “Trending”; Trend Strength “Medium Bullish Trend”; Gauge ~6–7 blocks. Δ Score histogram bars are green and rising, indicating accelerating bullish momentum. Trader notes the alignment. 3. Divergence Warning: Later, price makes a slightly higher high but RSI fails to confirm (lower RSI high). Pivot lookback completes; the indicator highlights a bearish divergence fill above zero and subtracts a small penalty from the score, causing score to stall or retrace slightly. Dashboard still bullish but score dips toward +Weak. This warns the trader to tighten stops or take partial profits. 4. Trend Weakens: Score eventually crosses below +Weak back into neutral; a “Neutral” label appears, and a “Neutral Trend” alert fires if enabled. Trader exits or avoids new long entries. If score subsequently crosses below –Weak, a “Bearish” label and alert occur. 5. Customization: If the trader finds VWMA noise too frequent on this instrument, they may disable VWMA or increase lookback. If ATR breakouts are too rare, adjust ATR length or multiplier. If ADX threshold seems off, tune threshold. All these adjustments are explained in Inputs section. 6. Visualization: The screenshot shows the main score oscillator with colored areas, reference lines at ±20/50/80, Δ Score histogram bars below/above zero, divergence fill highlighting potential reversal, and the dashboard table in the top-right. ________________________________________ ## 9. Inputs Explanation A concise yet clear summary of inputs helps users understand and adjust: 1. General Settings • Theme (Dark/Light): Choose background-appropriate colors for the indicator pane. • Dashboard Size (Normal/Small/Tiny): Scales text size only; all dashboard elements remain visible. 2. Indicator Settings • Enable EMA Cross: Toggle on/off basic EMA alignment check. o Fast EMA Length and Slow EMA Length: Periods for EMAs. • Enable VWMA Momentum: Toggle VWMA momentum check. o VWMA Length: Period for VWMA. o VWMA Momentum Lookback: Bars to compare VWMA to measure momentum. • Enable Volume Spike: Toggle volume spike detection. o Volume SMA Length: Period to compute average volume. o Volume Spike Multiplier: How many times above average volume qualifies as spike. o Min Price Move (%): Minimum percent change in price during spike to qualify as bullish or bearish. • Enable ATR Breakout: Toggle ATR breakout detection. o ATR Length: Period for ATR. o Breakout Lookback: Bars to look back for recent highs/lows. o ATR Multiplier: Multiplier for breakout threshold. • Enable Higher Timeframe Trend: Toggle HTF EMA alignment. o Higher Timeframe: E.g., “5” for 5-minute when on 1-minute chart, or “60” for 5 Min when on 15m, etc. Uses lookahead_off. • Enable ADX Regime Filter: Toggles regime-based weighting. o ADX Length: Period for manual ADX calculation. o ADX Threshold: Value above which market considered trending. o Ranging Weight Multiplier: Weight applied to trend components when ADX < threshold (e.g., 0.5). • Scale VWMA Momentum: Toggle normalization of VWMA momentum magnitude. o VWMA Mom Scale Lookback: Period for average absolute VWMA momentum. • Scale ATR Breakout Strength: Toggle normalization of breakout distance by ATR. o ATR Scale Cap: Maximum multiple of ATR used for breakout strength. • Enable Price-RSI Divergence: Toggle divergence detection. o RSI Length for Divergence: Period for RSI. o Pivot Lookback for Divergence: Bars on each side to identify pivot high/low. o Divergence Penalty: Amount to subtract/add to score when divergence detected (e.g., 0.5). 3. Score Settings • Smooth Score: Toggle EMA smoothing of normalized score. • Score Smoothing Length: Period for smoothing EMA. • Weak Threshold: Absolute score value under which trend is considered weak or neutral. • Medium Threshold: Score above Weak but below Medium is moderate. • Strong Threshold: Score above this indicates strong trend. 4. Visualization Settings • Show Δ Score Histogram: Toggle display of the bar-to-bar change in score as a histogram. Default true. • Show Divergence Fill: Toggle background fill highlighting confirmed divergences. Default true. Each input has a tooltip in the code. ________________________________________ ## 10. Limitations, Repaint Notes, and Disclaimers 10.1. Repaint & Lag Considerations • Pivot-Based Divergence Lag: The divergence detection uses ta.pivothigh / ta.pivotlow with a specified lookback. By design, a pivot is only confirmed after the lookback number of bars. As a result: o Divergence labels or fills appear with a delay equal to the pivot lookback. o Once the pivot is confirmed and the divergence is detected, the fill/label does not repaint thereafter, but you must understand and accept this lag. o Users should not treat divergence highlights as predictive signals without additional confirmation, because they appear after the pivot has fully formed. • Higher-Timeframe EMA Alignment: Uses request.security(..., lookahead=barmerge.lookahead_off), so no future data from the higher timeframe is used. This avoids lookahead bias and ensures signals are based only on completed higher-timeframe bars. • No Future Data: All calculations are designed to avoid using future information. For example, manual ADX uses RMA on past data; security calls use lookahead_off. 10.2. Market & Noise Considerations • In very choppy or low-liquidity markets, some components (e.g., volume spikes or VWMA momentum) may be noisy. Users can disable or adjust those components’ parameters. • On extremely low timeframes, noise may dominate; consider smoothing lengths or disabling certain features. • On very high timeframes, pivots and breakouts occur less frequently; adjust lookbacks accordingly to avoid sparse signals. 10.3. Not a Standalone Trading System • This is an indicator, not a complete trading strategy. It provides signals and context but does not manage entries, exits, position sizing, or risk management. • Users must combine it with their own analysis, money management, and confirmations (e.g., price patterns, support/resistance, fundamental context). • No guarantees: past behavior does not guarantee future performance. 10.4. Disclaimers • Educational Purposes Only: The script is provided as-is for educational and informational purposes. It does not constitute financial, investment, or trading advice. • Use at Your Own Risk: Trading involves risk of loss. Users should thoroughly test and use proper risk management. • No Guarantees: The author is not responsible for trading outcomes based on this indicator. • License: Published under Mozilla Public License 2.0; code is open for viewing and modification under MPL terms. ________________________________________ ## 11. Alerts • The indicator defines three alert conditions: 1. Bullish Trend: when the aggregated score crosses above the Weak threshold. 2. Bearish Trend: when the score crosses below the negative Weak threshold. 3. Neutral Trend: when the score returns within ±Weak after being outside. Good luck – BullByte
Indicateur Pine Script®
par BullByte
Rolling Z-Score Trend [QuantAlgo]🟢 Overview The Rolling Z-Score Trend measures how far the current price deviates from its rolling mean in terms of standard deviations. It transforms price data into standardized scores to identify overbought and oversold conditions while tracking momentum shifts. The indicator displays a Z-Score line showing price deviation from statistical norms, with background momentum columns showing the rate of change in these deviations. This helps traders and investors identify mean reversion opportunities and momentum shifts across different asset classes and timeframes. 🟢 How It Works The indicator uses the Z-Score formula: Z = (X - μ) / σ, where X is the current closing price, μ is the rolling mean, and σ is the rolling standard deviation over a user-defined lookback period. This creates a dynamic baseline that adapts to changing market conditions and standardizes price movements for interpretation across different assets and volatility conditions. The raw Z-Score undergoes 3-period EMA smoothing to reduce noise while maintaining responsiveness to market signals. Beyond the basic Z-Score calculation, the indicator measures the rate of change in Z-Score values between successive bars, displayed as background momentum columns. This momentum component shows acceleration and deceleration of statistical deviations. All calculations are processed through confirmation filters, displaying signals only on confirmed bars to reduce premature signals based on incomplete price action. 🟢 How to Use 1. Z-Score Interpretation and Threshold Zones Positive Values (Above Zero) : Price trading above statistical mean, suggesting bullish momentum or potential overbought conditions Negative Values (Below Zero) : Price trading below statistical mean, suggesting bearish momentum or potential oversold conditions Zero Line Crosses : Signal transitions between statistical regimes and potential trend changes Upper Threshold Zone : Area above entry threshold (default 1.5) indicating potential overbought conditions Lower Threshold Zone : Area below negative entry threshold (default -1.5) indicating potential oversold conditions Extreme Values (±2.0 or higher) : Statistically significant deviations that may indicate reversal opportunities 2. Momentum Background Analysis and Info Table Green Columns : Accelerating positive momentum in Z-Score values Red Columns : Accelerating negative momentum in Z-Score values Column Height : Magnitude of momentum change between bars Momentum Divergence : When columns contradict primary Z-Score direction, often signals impending reversals Info Table : Displays real-time numerical values for both Z-Score and momentum, including trend direction indicators and bar-to-bar change calculations for position management 3. Preconfigured Settings Default : Balanced performance across multiple timeframes and asset classes for general trading and medium-term position management. Scalping : Responsive setup for ultra-short-term trading on 1-15 minute charts with frequent signals and increased sensitivity to quick price movements. Swing Trading : Optimized for multi-day positions with noise filtering, focusing on larger price swings. Most effective on 1-4 hour and daily timeframes. Trend Following : Maximum smoothing that prioritizes established trends over short-term volatility. Generates fewer signals for daily and weekly charts.
Indicateur Pine Script®
par QuantAlgo
Timeframe LoopThe Timeframe Loop publication aims to visualize intrabar price progression in a new, different way. 🔶 CONCEPTS and USAGE I got inspiration from the Pressure/Volume loop, which is used in Mechanical Ventilation with Critical Care patients to visualize pressure/volume evolution during inhalation/exhalation. The main idea is that intrabar prices are visualized by a loop, going to the right during the first half and returning to the left towards its closing point. Here, the main chart timeframe (CTF) is 4 hours, and we see the movements of eight 30-minute lower timeframe (LTF) periods, highlighted by four yellow dots/lines (first 2 hours -> "Right") and four blue dots/lines (last 2 hours <- "Left"): 🔹 BTF If "Show Lowest TF" is enabled, the LTF is split into another lower TF (BTF - "Base TF"); in this case, the 30-minute LTF is split into 10 parts of 3 minutes (BTF): Enabling "Loop Lowest TF" will enable the BTF to react similarly to the largest loop; from halfway, it will return to its startpoint: Here is a more detailed example: 🔹 Mini-Candles The included option "Mini-Candles" will bring even more detail, showing the LTF as Japanese candlesticks with user-defined colors and adjustable body width; in this example, the mini-candles associated with the first half (yellow lines/dots) are green/red, while blue/fuchsia in the second half (blue lines/dots): CTF 10 minutes, LTF 1 minute, BTF 5 seconds One can see the detailed intrabar price progression in one glance. CTF 5 minutes, LTF 1 minute, BTF 5 seconds If the LTF/BTF ratio, divided by two, results in a non-integer number, the right side will be a vertical line instead of just a turning point. In that case, the smaller, most right blue loop will be situated at the right of that line. 10 minutes / 1 minute = 10 -> 10 / 2 =    5 parts    5 minutes / 1 minute =   5 ->   5 / 2 = 2.5 parts 🔶 SETTINGS 🔹 Timeframes Lower Timeframe 1 Lower Timeframe 2 No need to worry about the order of both timeframes; BTF will be the lowest TF of the 2, LTF the highest; both have to be lower than the main chart TF (CTF); otherwise, it will result in the error: "`Lower Timeframes` should be lower than current chart timeframe". The ratio LTF / BTF should be equal or higher than 2; otherwise, this error will show: "`Lower Timeframe` should minimally be twice the `Base (smallest) Timeframe`" Lastly, the ratio CTF / BTF should be lower than 500; otherwise, this error will pop up: "`Current Chart timeframe` / `Lower Timeframe` should be less than 500." I have tried to capture runtime errors as best I could. If one should be triggered (red exclamation mark next to the title), it is best to increase the lowest TF. 🔹 Options Show Lowest TF: Show BTF progression. Loop Lowest TF: Enabling will let the BTF line return halfway. Show Mini-Candles Show Steps "Show Steps" can be useful to see how the script works, where the location of the current price is compared against the position of the left (L) and right (R) labels: 🔹 Style
Indicateur Pine Script®
par fikira
Session Range ProjectionsSession Range Projections Purpose & Concept: Session Range Projections is a comprehensive trading tool that identifies and analyzes price ranges during user-defined time periods. The indicator visualizes high-probability reversal zones and profit targets by projecting Fibonacci levels from custom session ranges, making it ideal for traders who focus on time-based market structure analysis. Key Features & Calculations: 1. Custom Time Range Analysis - Define any time period for range calculation - from traditional sessions (Asian, London, NY) to custom periods like opening ranges, hourly ranges, or 4-hour blocks - Automatically captures the highest and lowest prices within your specified timeframe - Supports multiple timezone selections for global market analysis - Flexible enough for intraday scalping ranges or longer-term swing trading setups 2. Premium & Discount Zones - Automatically divides the range into premium (above 50%) and discount (below 50%) zones - Visual differentiation helps identify institutional buying and selling areas - Color-coded boxes clearly mark these critical price zones 3. Optimal Trade Entry (OTE) Zones - Highlights the 79-89% retracement zone in premium territory - Highlights the 11-21% retracement zone in discount territory - These zones represent high-probability reversal areas based on institutional order flow concepts 4. Fibonacci Projections - Projects 11 customizable Fibonacci extension levels from the range extremes - Levels extend both above and below the range for symmetrical analysis - Each level can be individually toggled and color-customized - Default levels include common retracement ratios: -0.5, -1.0, -2.0, -2.33, -2.5, -3.0, -4.0, -4.5, -6.0, -7.0, -8.0 How to Use: Set Your Time Range: Input your desired session start and end times (24-hour format) Select Timezone: Choose the appropriate timezone for your trading session Customize Display: Toggle various visual elements based on your preferences Monitor Price Action: Watch for reactions at projected levels and OTE zones Set Alerts: Configure sweep alerts for when price breaks above/below range extremes Input Parameters Explained: Time Range Settings Range Start/End Hour & Minute: Define your analysis period Time Zone: Ensure accurate session timing across different markets Visual Settings Range Box: Toggle the premium/discount zone visualization Horizontal Lines: Customize high/low line appearance Internal Range Levels: Show/hide equilibrium and OTE zones Labels: Configure text display for key levels Fibonacci Projections: Enable/disable extension levels Display Settings Historical Ranges: Show up to 10 previous session ranges Alert Type: Choose between high sweep, low sweep, or both Trading Applications: Session-Based Trading: Analyze specific market sessions (Asian, London, New York, opening ranges, hourly ranges) Reversal Trading: Identify high-probability reversal zones at OTE levels Breakout/Reversal Trading: Monitor range breaks/reversals with built-in sweep alerts Risk Management: Use Fibonacci projections as profit targets or rejection areas Multi-Timeframe Analysis: Apply to any timeframe for various trading styles Important Notes: This indicator is for educational purposes only and should not be considered financial advice Past performance does not guarantee future results Always use proper risk management when trading The indicator automatically manages historical data to maintain chart performance
Indicateur Pine Script®
par thraxxtrades
Support & Resistance External/Internal & BoS [sgbpulse]Market Structure Support & Resistance External/Internal & BoS Overview: Smart & Fast Market Structure Analysis The Market Structure "Support & Resistance External/Internal & BoS " indicator is designed to empower your technical analysis by automatically and precisely identifying significant support and resistance levels. It achieves this by pinpointing high and low Pivot Points, plus key Pre-Market High/Low levels. Its unique strength lies in its dynamic adaptability to any timeframe and any asset you choose. This tool analyzes the relevant market structure for the current timeframe and asset, providing you with accurate and relevant levels in real-time. The indicator maintains a clean chart and swiftly displays all support, resistance, and Pre-Market levels for any asset, saving valuable analysis time and enabling you to get a clear and quick snapshot of the market. How the Indicator Works The indicator identifies and displays three critical types of key levels: External Pivots: These are more significant pivot points, indicating important reversal points across a broader range of price movement, considering the current timeframe. The indicator draws dark green support lines (for low pivots) and dark red resistance lines (for high pivots) from these points. Internal Pivots: These are shorter-term pivot points, signifying smaller corrections or reversals within the overall structure of the current timeframe. These lines provide additional areas of interest within the ranges of the External Pivots. Pre-Market High/Low Levels: The indicator displays the High and Low reached during pre-market hours as distinct lines on the chart. Please note: These levels will only appear when the selected timeframe is lower than one day (e.g., 1-hour, 15-minute) and provided that the "Session extended trading hours" option is enabled in your TradingView chart settings. These levels are crucial for identifying potential opening ranges and critical support/resistance areas upon regular market open, especially for intraday trading. Break of Structure (BoS) Identification A key feature of this indicator is its ability to identify Break of Structure (BoS). When a support or resistance line is breached, the indicator changes the line's color to gray and displays a "Break of Structure" label, indicating a potential trend change or continuation: External BoS: When an external support/resistance line is broken, a "BoS" label in red will appear. This is a strong signal for a potential shift in the primary market structure or a strong trend continuation. Internal BoS: When an internal support/resistance line is broken, an "iBoS" label in green will appear. This indicates a break within the existing market structure, which can be used to confirm direction or identify shorter-term entry/exit opportunities. Full Indicator Customization The indicator provides maximum flexibility to suit any trading style and timeframe: Number of Lines Displayed: You can choose how many support and resistance lines you want to see on your chart. The default is 15 lines, but you can increase or decrease this number according to your needs and desired level of detail. External Pivot Settings: Define the number of bars before and after a pivot point required for External Pivot identification. Internal Pivot Settings: Define the number of bars before and after a pivot point required for Internal Pivot identification. Color Customization: Full control over colors! You can change the colors of the support and resistance lines, the colors of the Pre-Market levels, and also the colors of the BoS and iBoS labels to create a visual appearance that perfectly matches your personal preferences. This flexibility allows you to adapt the indicator to your trading style and any timeframe you operate in, without needing to manually change settings each time. Recommended Uses Clean Chart & Quick Analysis: The indicator displays important levels clearly, enabling quick identification of areas of interest without visual clutter on the chart. This significantly saves analysis time and allows you to make faster decisions. Critical Levels for Any Timeframe & Asset: Get precise and adaptive support and resistance, plus essential Pre-Market levels (in relevant timeframes), for any timeframe and on any asset you choose. Trend Direction Identification: Clear support and resistance lines help understand market structure. Breakout Confirmation: The BoS label provides visual confirmation of key level breaches, helping to confirm potential trend changes. Locating Entry & Exit Points: Use these levels as potential areas of interest for trades, after confirming a breakout or reversal. Finding Stop-Loss & Take-Profit Points: Strategically place protective stops and profit targets around these support and resistance levels. Important Note Like any technical indicator, Market Structure "Support & Resistance External/Internal & BoS " is a supplementary tool. It's highly recommended to use it in conjunction with additional analysis methods (such as price action analysis, other indicators, and fundamental analysis) for informed trading decisions. Financial markets are dynamic, and trading always carries inherent risk.
Indicateur Pine Script®
par sgbpulse
1x RVOL Bull/Bear Painter REVERSAL CATCHThis powerful Indicator Paints the candle if there is a Relative Volume of 1.5 or higher. Notice that if you mark the high of the last Bullish RVOL candle (blue candle) a power reversal begins at that same price. This does the same thing for the Bearish RVOL Candle. If you mark the low of that candle (purple), a reversal begins at that price. This can be used on any time frame, but using it on higher time frames catches you HUGE SWINGS
Indicateur Pine Script®
par TheTradingGoddess
AlphaTradeAlphaTrade - Smart Trend & Volume Signal Indicator AlphaTrade is a powerful combination of Zero Lag Trend and Volumatic VIDYA to help traders make smarter entries and exits. This script provides: Accurate Buy/Sell Labels: Based on Zero Lag Trend crossover logic with adaptive volatility bands. Volume-Based Zones: Highlights key liquidity areas with real-time volume annotations. VIDYA Trend Shading: Adaptive VIDYA-based cloud colored by volume momentum and trend direction. Multi-Timeframe Table: Displays the trend status on 5, 15, 60, 240 minutes and 1D timeframes. Delta Volume Label: Live buy/sell volume comparison and percentage delta. Auto Liquidity Lines: Automatically draws recent high/low levels with volume at that level. Alerts Ready: Receive "ALIM" (Buy) and "SATIM" (Sell) alerts instantly. Ideal for traders who want trend precision, volume confirmation, and visual clarity — all in one tool. For best results, apply on high-liquidity assets and adjust ZLEMA/VIDYA settings to your strategy.
Indicateur Pine Script®
par aydnkz03
5DMA Optional HMA Entry📈 5DMA Optional HMA Entry Signal – Precision-Based Momentum Trigger Category: Trend-Following / Reversal Timing / Entry Optimization 🔍 Overview: The 5DMA Optional HMA Entry indicator is a refined price-action entry tool built for traders who rely on clean trend alignment and precise timing. This script identifies breakout-style entry points when price gains upward momentum relative to short-term moving averages — specifically the 5-day Simple Moving Average (5DMA) and an optional Hull Moving Average (HMA). Whether you're swing trading stocks, scalping ETFs like UVXY or VXX, or looking for pullback recovery entries, this tool helps time your long entries with clarity and flexibility. ⚙️ Core Logic: Primary Condition (Always On): 🔹 Close must be above the 5DMA – ensuring upward short-term momentum is confirmed. Optional Condition (Toggled by User): 🔹 Close above the HMA – adds slope-responsive trend filtering for smoother setups. Enable or disable via checkbox. Bonus Entry Filter (Optional): 🔹 Green Candle Wick Breakout – optional pattern logic that detects bullish momentum when the high pierces above both MAs, with a green body. Reset Mechanism: 🔁 Signal resets only after price closes back below all active MAs (5DMA and HMA if enabled), reducing noise and avoiding repeated signals during chop. 🧠 Why This Works: This indicator captures the kind of setups that professional traders look for: Momentum crossovers without chasing late. Mean reversion snapbacks that align with fresh bullish moves. Avoids premature entries by requiring clear structure above moving averages. Optional HMA filter allows adaptability: turn it off during choppy markets or range conditions, and on during trending environments. 🔔 Features: ✅ Adjustable HMA Length ✅ Enable/Disable HMA Filter ✅ Optional Green Wick Breakout Detection ✅ Visual “Buy” label plotted below qualifying bars ✅ Real-time Alert Conditions for automated trading or manual alerts 🎯 Use Cases: VIX-based ETFs (e.g., UVXY, VXX): Catch early breakouts aligned with volatility spikes. Growth Stocks: Time pullback entries during bullish runs. Futures/Indices: Combine with macro levels for intraday scalps or swing setups. Overlay on Trend Filters: Combine with RSI, MACD, or VWAP for confirmation. 🛠️ Recommended Settings: For smooth setups in volatile names, use: HMA Length: 20 Keep green wick filter ON For fast momentum trades, disable the HMA filter to act on 5DMA alone. ⭐ Final Thoughts: This script is built to serve both systematic traders and discretionary scalpers who want actionable signals without noise or lag. The toggleable HMA feature lets you adjust sensitivity depending on market conditions — a key edge in adapting to volatility cycles. Perfect for those who value clean, non-repainting entries rooted in logical structure.
Indicateur Pine Script®
par AlphaDan10
MM + MACD [RSI Filter]MM + MACD Trend Follower with RSI Filter Pedro Canto - Portfolio Manager | CGA/CGE OVERVIEW The MM + MACD Trend Follower with RSI Filter is a multi-layered trend-following indicator designed to help traders identify high-probability trend continuation setups while avoiding low-quality entries caused by overbought or oversold market conditions. This tool combines the power of Moving Averages (MA), the MACD Histogram, and a visual RSI-based filter to validate both trend direction and timing for entries. Its goal is simple: filter out noise and highlight only the most technically relevant buy and sell signals based on objective momentum and trend criteria. USE CASES - Identifying trend continuation setups - Filtering false signals during consolidation phases - Avoiding trades in overbought or oversold zones - Enhancing entry timing for both swing and intraday strategies - Providing visual confirmation of trend strength and momentum alignment KEY FEATURES 1. Dual Moving Average Setup The indicator allows full customization of two moving averages (MA1 and MA2), supporting both EMA and SMA types. The slope of the longer MA (MA2) acts as an essential trend filter, ensuring signals are only generated when the market shows clear directional bias. 2. MACD Histogram Trend Confirmation A classic MACD Histogram calculation is used to validate the momentum of the prevailing trend. - Bullish Trend: Histogram > 0 - Bearish Trend: Histogram < 0 This step filters out counter-trend signals and ensures trades are aligned with momentum. 3. Intrabar Price Trigger Unlike standard crossover systems, this indicator waits for intrabar price action to trigger entries: - Buy Signal: Price crosses below one of the MAs during an uptrend (dip-buy logic) - Sell Signal: Price crosses above one of the MAs during a downtrend (rally-sell logic) This intrabar trigger improves entry timing and helps capture retracement-based opportunities. 4. RSI Visual Filter A short-term RSI is plotted and color-coded to visually highlight overbought and oversold conditions, acting as a discretionary filter for users to avoid low-probability trades during exhaustion points. 5. Dynamic Coloring System Bar Colors: - Blue: Bullish trend - Red: Bearish trend - Orange: RSI Overbought/Oversold zones MA Colors: - Blue for bullish conditions - Red for bearish conditions - Gray for neutral/no-trend phases 6. Signal Markers and Alerts Clear visual buy and sell markers are plotted directly on the chart. Additionally, the indicator includes real-time alerts for both Buy and Sell signals, helping traders stay informed even when away from the screen. INPUTS AND CUSTOMIZATION OPTIONS - Moving Average Types: EMA or SMA for both MA1 and MA2. - MACD Settings: Customizable fast, slow, and signal periods. - RSI Settings: Source, length, and overbought/oversold levels fully adjustable. - Color Customization: Adjust RSI zone colors to suit your chart theme. --- DISCLAIMER This indicator is a technical analysis tool designed for educational and informational purposes only. It should not be used as a standalone trading system. Always combine it with sound risk management, price action analysis, and, where applicable, fundamental context. Past performance does not guarantee future results.
Indicateur Pine Script®
par Pedro_Canto
ADX Trend Visualizer with Dual ThresholdsADX Trend Visualizer with Dual Thresholds A minimal, color coded ADX indicator designed to filter market conditions into weak, moderate, or strong trend phases. Uses a dual threshold system for separating weak, moderate, and strong trend conditions. Color coded ADX line: Green– Strong trend (above upper threshold) Yellow – Moderate trend (between thresholds) Red – Weak or no trend (below lower threshold) Two horizontal reference lines plotted at threshold levels Optional +DI and -DI lines (Style tab) Recommended Use: Use on higher time frames (1h and above) as a trend filter Combine with entry/exit signals from other indicators or strategies Avoid possible false entries when ADX is below the weak threshold This trend validator helps highlight strong directional moves and avoid weak market conditions
Indicateur Pine Script®
par crankyprofits
Percent Change of Range Candles - FullPercent Change of Range Candles – Full (PCR Full) Description: PCR Full is a custom momentum indicator that measures the percentage price change relative to a defined range, offering traders a unique way to evaluate strength, direction, and potential reversals in price movement. How it works: The main value (PCR) is calculated by comparing the price change over a selected number of candles (length) to the range between the highest high and lowest low in the same period. This percentage change is normalized and visualized with dynamic candles on the subgraph. Reference levels at +100, +50, 0, -50, and -100 serve as key zones to indicate potential overbought/oversold conditions, continuation, or neutrality. How to read the indicator: 1. Trend continuation: When PCR breaks above +50 and holds, it often confirms a strong bullish move. Similarly, values below -50 and staying low signal a bearish continuation. 2. Wick behavior (volatility insight): Long wicks on PCR candles suggest uncertainty or failed breakout attempts. Short or no wicks with strong body color show stable momentum and conviction. On the chart, multiple long wicks near -50 suggest bulls are attempting to push price upward, but lack the strength — until a confirmed breakout. 3. Polarity transition (Bearish to Bullish or vice versa): A transition from negative PCR values to above zero shows that the market is possibly turning. Especially if PCR climbs gradually and stabilizes above zero, it indicates a developing bullish phase. Components: Main PCR line: Color-coded (green for rising, red for falling). Open Average (gray line): Smooths recent PCR values, indicating balance. High/Low adaptive bands: Adjust dynamically to PCR polarity. PCR Candles: Visualize OHLC of PCR data for enhanced interpretation. Suggested use cases: Enter trend trades when PCR crosses +50 or -50 with volume or price confirmation. Watch for reversal signs near ±100 if PCR fails to break further. Use 0 line as a neutral zone — markets hovering near 0 are often in consolidation. Combine with price action or oscillators like RSI/MACD for additional signals. Customization: The length input allows users to define the range for PCR calculations, making it adjustable to various timeframes and strategies (scalping, intraday, swing).
Indicateur Pine Script®
par Aleksin_Aleksandar