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Hidden Markov Reversal Finder [UAlgo]Hidden Markov Reversal Finder is a regime aware reversal detection indicator that uses a compact 3 state Hidden Markov style filter with online adaptation to classify market conditions and highlight potential top and bottom rotations. The script models price behavior as transitions between three regimes: - Bull Expansion - Balance - Bear Stress Instead of running a heavy Baum Welch retraining loop, this version is designed as a lightweight real time filter. It updates regime probabilities using a transition matrix plus a two dimensional Gaussian emission model built from two normalized observations: Return observation as a smoothed log return z score Volatility observation as a realized volatility z score The indicator runs in its own pane ( overlay=false ) but can optionally paint chart bars and place reversal labels on price using force overlay. It also includes a clean dashboard panel showing the current state, confidence, observation values, score, posterior probabilities, stretch, and the current setup classification. The reversal engine is built around a top rotation and bottom rotation concept. It looks for a probability peak in a regime, then a fade from that peak, combined with momentum flip conditions and a stretch filter measured in ATR units relative to a baseline EMA. Signals are gated by a confidence threshold and a cooldown period to reduce repetitive prints. This makes the indicator useful as a regime driven reversal framework that integrates: State probabilities and confidence Regime score and momentum flip ATR based stretch extremes Peak fade rotation logic Clean visual markers and dashboard transparency 🔹 Features 🔸 1) Three Regime Model The script uses three explicit regimes with distinct roles: Bull Expansion, intended to represent positive drift conditions Balance, intended to represent neutral or mixed drift Bear Stress, intended to represent negative drift and higher stress conditions Each regime has its own mean and variance assumptions for return and volatility, which are then adapted online. 🔸 2) Two Dimensional Observation System (Return and Volatility) The model does not rely on only returns. It uses both: A normalized return feature A normalized volatility feature This helps distinguish clean bullish trends from choppy balance periods, and balance periods from bearish stress regimes. 🔸 3) Transition Matrix with Persistence Controls Users can control how sticky each regime is through persistence settings: Bull persistence Balance persistence Bear persistence The transition matrix is constructed so that most probability remains in the same regime, while the remainder flows into other regimes using asymmetric weights that reflect realistic behavior. 🔸 4) Real Time Bayesian Filter Update Each bar, the model performs: Prediction step using the transition matrix Update step using Gaussian emissions Posterior normalization Active state selection by arg max This produces a smooth probability based regime tracker suitable for live use. 🔸 5) Adaptation After filtering, the model adapts its internal means and variances using a learning rate scaled by posterior responsibility. This allows the state distributions to slowly adjust to changing market conditions without full retraining. This keeps the indicator responsive while still stable. 🔸 6) Regime Score Output The main score line is: Bull posterior minus Bear posterior This produces a continuous signal that ranges between negative and positive values and functions as a regime tilt meter. A confidence ribbon is also plotted as an area band derived from the dominant posterior. 🔸 7) Confidence Gating and Visual Strength Confidence is defined as the largest posterior probability among the three regimes. The script uses confidence to: Gate reversal signals Determine bar tint transparency when bar coloring is enabled Decide whether state shift tags should be printed This reduces noise during low clarity periods. 🔸 8) Rotation Style Reversal Engine The reversal finder is built on rotation logic: A top rotation occurs after a Bull probability peak fades while Bear probability begins to rise A bottom rotation occurs after a Bear probability peak fades while Bull probability begins to rise This is a probabilistic rotation concept rather than a simple oscillator crossover. 🔸 9) Momentum Flip Confirmation Signals require momentum confirmation through: Regime score change direction Return observation crossing a flip threshold This is designed to reduce premature top and bottom calls when the regime probabilities shift but price momentum has not actually flipped. 🔸 10) ATR Based Stretch Filter The script computes stretch as distance from an EMA baseline measured in ATR units. Signals require: Top signals only when stretch is above a positive threshold Bottom signals only when stretch is below a negative threshold This ensures reversal signals occur when price is extended, not when it is near equilibrium. 🔸 11) Cooldown Control A cooldown setting prevents consecutive buy or sell reversal signals from printing too frequently. This is especially useful when the market chops around an extreme and repeatedly triggers partial rotation conditions. 🔸 12) Dashboard Panel A table dashboard displays key information on the last bar: Active state name Confidence Return z score and volatility z score Regime score Posterior probabilities Stretch in ATR units Current setup text such as BUY REVERSAL, SELL REVERSAL, TOP WATCH, BOTTOM WATCH, WAIT This makes the indicator transparent and easy to interpret. 🔸 13) State Tags and Reversal Labels on Chart When enabled, the script prints: State tags such as BULL, BASE, BEAR with arrows Reversal markers with a vertical guide line and bold letter B or S Tooltips include confidence, peak probability, stretch, and current posterior probabilities. 🔸 14) Optional Probability Curves and Bar Coloring Users can toggle: State probability plots Signal markers and dots Dashboard visibility State tag visibility Bar coloring by regime with confidence adjusted transparency This makes the indicator adaptable for minimalist or fully informational workflows. 🔹 Calculations 1) Return Observation Construction The script uses log returns: float logReturn = math.log(close / nz(close , close)) It smooths return with an EMA: float smoothedReturn = ta.ema(logReturn, returnSmoothLength) Then normalizes by the return standard deviation: float returnStdev = math.max(nz(ta.stdev(logReturn, returnZLength), EPS), EPS) float returnObs = clampFloat(smoothedReturn / returnStdev, -obsClamp, obsClamp) Interpretation: Return observation is a clamped z score like feature, where positive values represent bullish return pressure and negative values represent bearish return pressure. 2) Volatility Observation Construction Realized volatility is measured as the standard deviation of log returns: float realizedVol = nz(ta.stdev(logReturn, volLength), EPS) Then it is normalized relative to a baseline EMA and baseline standard deviation: float volMean = nz(ta.ema(realizedVol, volBaselineLength), realizedVol) float volStdev = math.max(nz(ta.stdev(realizedVol, volBaselineLength), EPS), EPS) float volObs = clampFloat((realizedVol - volMean) / volStdev, -obsClamp, obsClamp) Interpretation: Volatility observation is a clamped z score like feature, where higher values indicate volatility expansion relative to baseline. 3) Warmup Logic The model waits for enough history to compute stable normalized observations: int warmupBars = math.max(returnZLength, volBaselineLength) + volLength bool ready = bar_index > warmupBars and not na(returnObs) and not na(volObs) Before ready, the script avoids producing live signals and uses the initial posterior distribution. 4) Transition Matrix Configuration The transition matrix uses persistence values and asymmetric drift splits: From Bull, most drift flows to Balance and a smaller portion to Bear From Bear, most drift flows to Balance and a smaller portion to Bull From Balance, drift splits evenly between Bull and Bear Core setup: this.setTransition(STATE_BULL, STATE_BALANCE, bullDrift * 0.78) this.setTransition(STATE_BULL, STATE_BEAR, bullDrift * 0.22) ... this.setTransition(STATE_BEAR, STATE_BALANCE, bearDrift * 0.78) this.setTransition(STATE_BEAR, STATE_BULL, bearDrift * 0.22) This design makes Balance act like a bridge regime and reduces unrealistic direct flip frequency. 5) Emission Model: 2D Gaussian Density Each state computes an emission probability from return and volatility observations using a 2D Gaussian likelihood: float exponent = -0.5 * ((retDeviation * retDeviation) / retVariance + (volDeviation * volDeviation) / volVariance) float normalizer = 1.0 / (2.0 * math.pi * math.sqrt(retVariance * volVariance)) math.max(normalizer * math.exp(math.max(exponent, -24.0)), EPS) Variances are floored at 0.12 to prevent collapse. 6) Prediction Step The model predicts next probabilities using the transition matrix: predictedProbability += posterior * transition(fromState, toState) Then normalizes the predicted vector so it sums to 1. 7) Filter Update Step The posterior is updated by multiplying predicted probabilities by emission likelihoods: nextPosterior = predicted * emission(state, retObs, volObs) Then normalized. The active state is the arg max of the posterior. 8) Online Adaptation The model updates state means and variances using posterior responsibility times learning rate: float responsibility = posterior * learningRate Means update by moving toward the current observation: nextMuRet = oldMuRet + responsibility * retError nextMuVol = oldMuVol + responsibility * volError Variances update toward squared error: nextVarRet = oldVarRet + responsibility * (retError * retError - oldVarRet) nextVarVol = oldVarVol + responsibility * (volError * volError - oldVarVol) All parameters are clamped to stability ranges so the model does not explode. 9) Regime Score and Confidence Score is defined as: posterior - posterior Confidence is the maximum posterior: posterior These values drive visuals and signal gating. 10) Stretch Calculation in ATR Units Stretch uses an EMA basis of price and measures distance in ATR units: float basis = ta.ema(close, stretchLength) float atrValue = math.max(ta.atr(14), syminfo.mintick) float stretch = (close - basis) / atrValue Top stretch requires: stretch >= stretchThreshold Bottom stretch requires: stretch <= -stretchThreshold This ensures reversals occur when price is statistically extended relative to recent volatility. 11) Probability Peak and Fade Logic The script measures recent peaks for bull and bear probabilities: float bullPeak = ta.highest(bullProb , peakLookback) float bearPeak = ta.highest(bearProb , peakLookback) Fade is peak minus current: bullFade = bullPeak - bullProb bearFade = bearPeak - bearProb Top rotation condition requires: Bull peak above threshold Bull fade above minimum Bear probability rising Bottom rotation requires the mirrored conditions. This captures the idea of regime dominance peaking, then fading as the opposite side begins to regain influence. 12) Momentum Flip Confirmation Momentum down requires: Regime score decreasing Return observation strongly negative below a flip threshold Momentum up requires: Regime score increasing Return observation strongly positive above the flip threshold This prevents signals when probabilities fade but momentum remains neutral. 13) Signal Gating and Cooldown Signals require confidence above the threshold and a cooldown to avoid repeated triggers: confidenceValue >= confidenceThreshold bar_index - lastSignalBar > cooldownBars 14) Buy and Sell Reversal Signals Buy reversal: Bottom rotation Momentum up Bottom stretch Confidence filter Cooldown filter Sell reversal: Top rotation Momentum down Top stretch Confidence filter Cooldown filter A Balance signal is also triggered when the state changes to Balance with sufficient confidence. 15) Visual Outputs The indicator plots: Regime score line with area fill around zero Confidence ribbon as an area band Optional posterior curves for Bull, Balance, Bear Normalized stretch line scaled by the stretch threshold Optional dots on the chart for reversal events Optional bar coloring on the main chart It also prints: Reversal labels B and S with stretch, confidence, and peak probability tooltips State tags on regime shifts A dashboard panel summarizing live state and setup context
อินดิเคเตอร์ Pine Script®
โดย UAlgo
1
Wolfe Wave Pattern [UAlgo]Wolfe Wave Pattern is a pivot based pattern recognition indicator that scans price structure for a five point Wolfe Wave sequence and automatically draws the pattern on the chart once a valid setup is confirmed. The script works directly on price ( overlay=true ) and is built for visual analysis, giving traders a clear geometric representation of bullish and bearish Wolfe Wave formations with point labels, channel references, and a projected EPA target line. This implementation uses confirmed swing pivots from TradingView pivot functions as its structural foundation. Every new confirmed pivot is stored, and the script evaluates the most recent five alternating pivots for Wolfe Wave conditions. Instead of trying to detect every possible variation, it applies a practical and consistent ruleset based on swing sequencing, relative highs and lows, convergence of channel lines, and point 5 overshoot behavior beyond the 1 to 3 guide line. When a valid pattern is found, the script draws the core wave legs (1 to 2, 2 to 3, 3 to 4, 4 to 5), a 2 to 4 channel reference, a 1 to 3 sweet zone guide, and an extended EPA line from 1 to 4 into the future. It also marks the pivot points with labels and triggers an alert message at detection time. This makes the tool useful for discretionary traders who want a structured way to monitor Wolfe Wave geometry without manually drawing every candidate pattern. 🔹 Features 🔸 1) Pivot Based Wolfe Wave Detection The script uses ta.pivothigh() and ta.pivotlow() with user configurable left and right bars to build a swing structure map. Each pivot is stored as a custom PivotPoint object containing: Index of the pivot bar Pivot price Pivot type (high or low) This gives the pattern engine a clean sequence of confirmed turning points rather than raw candle noise. 🔸 2) Automatic Five Point Pattern Recognition On each newly confirmed pivot, the script checks the most recent five pivots and validates whether they form an alternating sequence suitable for a Wolfe Wave candidate. Only alternating high low high low high or low high low high low structures are considered. This is an important filter because Wolfe Waves are geometric swing patterns and require clear alternation in pivot direction. 🔸 3) Bullish Wolfe Wave Detection Logic The bullish model looks for a low high low high low sequence and applies structural and geometric checks, including: Point 3 below Point 1 Point 4 below Point 2 Point 5 overshooting below the projected 1 to 3 line Converging channel behavior through slope comparison of 1 to 3 and 2 to 4 This produces a clean descending wedge style candidate that matches the intended bullish Wolfe Wave concept in this implementation. 🔸 4) Bearish Wolfe Wave Detection Logic The bearish model looks for a high low high low high sequence and applies the inverse logic: Point 3 above Point 1 Point 4 above Point 2 Point 5 overshooting above the projected 1 to 3 line Converging channel behavior through slope comparison of 1 to 3 and 2 to 4 This creates a rising wedge style candidate for bearish Wolfe Wave detection. 🔸 5) Full Pattern Drawing on Chart Once detected, the script draws the pattern directly on price using line objects: Wave legs 1 to 2, 2 to 3, 3 to 4, and 4 to 5 A 2 to 4 channel reference line A 1 to 3 sweet zone guide line An EPA projection line extended from 1 to 4 into future bars This helps traders quickly inspect geometry and projected target direction without manual plotting. 🔸 6) Point Labels and Pattern Name Display The indicator labels all five pivot points and positions the labels above or below price depending on pattern direction. This improves readability and makes it easy to verify the sequence visually. For bullish patterns, low points are labeled below bars and high points above bars. For bearish patterns, the logic is inverted. 🔸 7) EPA Target Projection The script draws an extended EPA line based on Point 1 and Point 4, projecting it beyond Point 5 to create a visual target path. This offers a practical reference for post detection expectation analysis. The projection length is proportional to the 1 to 4 horizontal distance, which keeps the target line visually consistent with the pattern scale. 🔸 8) Visual Customization Inputs Users can customize: Bullish pattern color Bearish pattern color Line width The script also includes a line style input and line style helper mapping. In the current implementation, core pattern segments are drawn with fixed style choices for visual consistency, while supporting lines use dedicated dashed and arrow styles. 🔸 9) Alert on Detection When a new bullish or bearish Wolfe Wave is confirmed, the script triggers an alert message at bar close frequency. This allows traders to monitor multiple symbols or timeframes without constantly watching the chart. 🔸 10) Structured Object Design for Maintainability The script uses custom types for both pivots and patterns: PivotPoint for swing points WolfeWave for the full detected pattern including lines, labels, EPA line, and sweet zone line This object based design keeps the code organized and easier to extend in future versions. 🔹 Calculations 1) Pivot Detection and Storage The script identifies confirmed swing highs and lows using user defined left and right pivot lengths: float ph = ta.pivothigh(high, lenLeft, lenRight) float pl = ta.pivotlow(low, lenLeft, lenRight) When a pivot is confirmed, it is stored at the actual pivot bar index ( bar_index - lenRight ) because pivot confirmation happens after the right side bars are complete: if not na(ph) pivotArray.addPivot(bar_index - lenRight, ph, true) if not na(pl) pivotArray.addPivot(bar_index - lenRight, pl, false) The pivot array is capped to a manageable size: if pivots.size() > 100 pivots.shift() 2) Pattern Scan Trigger and Five Pivot Window The pattern engine only runs when at least five pivots exist. It then reads the latest five pivots in order: PivotPoint p5 = pivotArray.get(pivotArray.size() - 1) PivotPoint p4 = pivotArray.get(pivotArray.size() - 2) PivotPoint p3 = pivotArray.get(pivotArray.size() - 3) PivotPoint p2 = pivotArray.get(pivotArray.size() - 4) PivotPoint p1 = pivotArray.get(pivotArray.size() - 5) The check is gated so the recognition logic processes only when a new pivot has just been confirmed: bool newPivotConfirmed = not na(ph) or not na(pl) 3) Alternation Check Before applying Wolfe rules, the script requires the five pivots to alternate between highs and lows: bool alternating = (p1.isHigh != p2.isHigh) and (p2.isHigh != p3.isHigh) and (p3.isHigh != p4.isHigh) and (p4.isHigh != p5.isHigh) This prevents invalid sequences such as repeated highs or repeated lows from being treated as pattern candidates. 4) Slope and Projection Utilities Two helper methods provide the geometric basis of the pattern logic: Slope between two pivots: method getSlope(PivotPoint pA, PivotPoint pB) => (pB.price - pA.price) / (pB.index - pA.index) Projected price of a line at a target bar index: method getProjectedPrice(PivotPoint pA, PivotPoint pB, int targetIndex) => float slope = (pB.price - pA.price) / (pB.index - pA.index) pA.price + slope * (targetIndex - pA.index) These methods are used for overshoot validation, convergence checks, and EPA target projection. 5) Bullish Wolfe Wave Detection Rules The bullish pattern requires a pivot sequence of: Point 1 low Point 2 high Point 3 low Point 4 high Point 5 low In code, this is checked as: if not p1.isHigh and p2.isHigh and not p3.isHigh and p4.isHigh and not p5.isHigh Then the script applies structural conditions: if p3.price < p1.price and p4.price < p2.price This enforces a downward contracting structure. Next, it checks Point 5 overshoot relative to the projected 1 to 3 line at the Point 5 index: float proj13_at_5 = p1.getProjectedPrice(p3, p5.index) if p5.price < proj13_at_5 Finally, it checks convergence using slope comparison: float m13 = p1.getSlope(p3) float m24 = p2.getSlope(p4) if m24 < m13 detected := true Interpretation: For a bullish setup in this script, both 1 to 3 and 2 to 4 slopes are typically negative, and the 2 to 4 line must descend faster than the 1 to 3 line so the structure converges to the right. 6) Bearish Wolfe Wave Detection Rules The bearish pattern requires a pivot sequence of: Point 1 high Point 2 low Point 3 high Point 4 low Point 5 high In code: else if p1.isHigh and not p2.isHigh and p3.isHigh and not p4.isHigh and p5.isHigh Structural conditions: if p3.price > p1.price and p4.price > p2.price This enforces an upward contracting structure. Point 5 overshoot must be above the projected 1 to 3 line: float proj13_at_5 = p1.getProjectedPrice(p3, p5.index) if p5.price > proj13_at_5 Convergence is then checked using slope comparison: float m13 = p1.getSlope(p3) float m24 = p2.getSlope(p4) if m24 > m13 detected := true Interpretation: For a bearish setup, both lines are typically rising, and the 2 to 4 line must rise faster than the 1 to 3 line so the wedge contracts to the right. 7) Sweet Zone Guide and Channel Reference After detection, the script draws a sweet zone guide using the 1 to 3 geometry projected to the Point 5 index: this.sweetZoneLine := line.new( this.p1.index, this.p1.price, this.p5.index, this.p1.getProjectedPrice(this.p3, this.p5.index), color=color.new(c, 50), width=1, style=line.style_dashed) It also draws a 2 to 4 reference line as a dashed channel boundary: this.patternLines.push(line.new(this.p2.index, this.p2.price, this.p4.index, this.p4.price, color=color.new(c, 50), width=1, style=line.style_dashed)) Together, these lines visually frame the Wolfe Wave channel and the Point 5 overshoot area. 8) EPA Line Projection The EPA line is projected from Point 1 to Point 4 and extended into the future. The horizontal projection length is based on the bar distance from Point 1 to Point 4: int dist14 = this.p4.index - this.p1.index int targetIdx = this.p5.index + dist14 float targetPrice = this.p1.getProjectedPrice(this.p4, targetIdx) The EPA line is then drawn with an arrow style: this.epaLine := line.new(this.p1.index, this.p1.price, targetIdx, targetPrice, color=color.yellow, width=2, style=line.style_arrow_right) This provides a projected target path for the expected move after Point 5. 9) Label Placement Logic The script places point labels above or below bars based on pattern direction so the labels remain readable and consistent with swing polarity. For bullish patterns: Points 1, 3, and 5 are placed below bars Points 2 and 4 are placed above bars For bearish patterns: Points 1, 3, and 5 are placed above bars Points 2 and 4 are placed below bars This logic is encoded through direction dependent yloc assignment before creating labels. 10) Detection Object Construction and Drawing Once a pattern is validated, the script creates a WolfeWave object and calls its draw method: WolfeWave ww = WolfeWave.new(p1, p2, p3, p4, p5, isBull) ww.draw() The object stores the five pivots, direction, line arrays, label arrays, and special lines (EPA and sweet zone), which makes the implementation modular and easier to manage. 11) Alert Logic After a bullish or bearish pattern is drawn, the script sends an alert message: alert("Wolfe Wave " + (isBull ? "Bullish" : "Bearish") + " Detected", alert.freq_once_per_bar_close) This allows users to automate notification workflows and review setups only when a complete pattern has been confirmed.
อินดิเคเตอร์ Pine Script®
โดย UAlgo
JESUS SAVES Bull-Bear Split CandlesJESUS SAVES Directional Split Candles transforms traditional price bars into a structured two-segment visualization that separates each candle into a bullish and a bearish price component. Instead of displaying classic bodies and wicks, every bar is divided into two clean, wick-free sections to highlight directional price movement within the same candle. When open < close, the bullish section spans from low to close, while the bearish section covers close to high. When open > close, the bearish section spans from high to close, and the bullish section covers close to low. Importantly, no price information is lost in this transformation. All original OHLC values (Open, High, Low, Close) remain fully represented — they are simply reorganized into two directional segments instead of a traditional candle structure. This structured view emphasizes internal price distribution and offers a refined perspective on momentum and imbalance inside each bar. ⚠️ Important Chart Setup TradingView does not allow scripts to modify or hide the native chart candles (they cannot be programmatically set to white or transparent). To display only the custom candles, simply open Chart Settings → Symbol and uncheck the checkboxes for Body, Wick, and Border to hide the native candles.
อินดิเคเตอร์ Pine Script®
โดย sigusto
1
BBP Oscillator V1 + Multiple Time FrameBull Bear Power + HTF/LTF Filter (BBP+) Overview: BBP+ is a minimalist Bull Bear Power histogram designed to help traders identify potential bearish signals while filtering them with current and higher timeframe trends. An optional lower timeframe (LTF) filter can further reduce false signals, without displaying extra markers on the chart. Inputs: BBP Length: EMA length for BBP calculation (smaller → more sensitive, larger → smoother). EMA Trend (Current TF): Current timeframe trend filter (signals only when bearish). HTF Timeframe & EMA: Higher timeframe trend filter (optional). Enable HTF Filter: Toggle HTF trend filter. LTF Timeframe & Enable LTF Filter: Optional filter to reduce false signals; no visual output. Show Signals: Toggle to show/hide main bearish signals. Signal Logic: Main bearish signals appear when: Current trend is bearish BBP momentum is decreasing Optional HTF trend filter passes Optional LTF momentum filter passes Important Notes Indicator is not a guaranteed profit tool; use for analysis only. Past performance does not indicate future results. LTF filter does not appear visually, only helps filter main signals. Adjust BBP Length, EMA Trend, and HTF/LTF settings according to market volatility and timeframe.
อินดิเคเตอร์ Pine Script®
โดย aioncharts
1
Harmonic Liquidity Waves [JOAT]Harmonic Liquidity Waves Overview Harmonic Liquidity Waves is an open-source oscillator indicator that combines multiple volume-based analysis techniques into a unified liquidity flow framework. It integrates VWAP calculations, Chaikin Money Flow (CMF), Money Flow Index (MFI), and Klinger Volume Oscillator (KVO) with custom harmonic wave calculations to provide a comprehensive view of volume dynamics and money flow. What This Indicator Does The indicator calculates and displays: Liquidity Flow - Volume-weighted price movement accumulated over a lookback period Harmonic Wave - Multi-depth smoothed oscillator derived from liquidity flow Chaikin Money Flow (CMF) - Classic accumulation/distribution indicator Money Flow Index (MFI) - Volume-weighted RSI showing buying/selling pressure Klinger Volume Oscillator (KVO) - Trend-volume relationship indicator Wave Interference - Combined constructive/destructive wave patterns Volume Profile POC - Point of Control from simplified volume distribution How It Works The core liquidity flow calculation tracks volume-weighted price changes: calculateLiquidityFlow(series float vol, series float price, simple int period) => float priceChange = ta.change(price) float volumeFlow = vol * math.sign(priceChange) // Accumulated over period using buffer array float avgFlow = flowSum / period avgFlow The harmonic oscillator applies multi-depth smoothing: harmonicOscillator(series float flow, simple int depth, simple int period) => float harmonic = 0.0 for i = 1 to depth float wave = ta.ema(flow, period * i) / i harmonic += wave harmonic / depth CMF measures accumulation/distribution using the Money Flow Multiplier: float mfm = ((close - low) - (high - close)) / (high - low) float mfv = mfm * vol float cmf = ta.sum(mfv, period) / ta.sum(vol, period) * 100 Signal Generation Liquidity shift signals occur when: Bullish Shift: Smoothed wave crosses above signal line Bearish Shift: Smoothed wave crosses below signal line Strong signals require volume indicator confirmation: Strong Bull: Bullish shift + CMF > 0 + MFI > 50 + KVO > 0 Strong Bear: Bearish shift + CMF < 0 + MFI < 50 + KVO < 0 Divergence detection compares price pivots with liquidity wave pivots to identify potential reversals. Dashboard Panel (Bottom-Right) Wave Strength - Normalized wave magnitude Volume Pressure - Current volume vs average percentage Flow Direction - BUYING or SELLING based on wave sign Histogram - Wave minus signal line value CMF - Chaikin Money Flow reading MFI - Money Flow Index value (0-100) KVO - Klinger oscillator value Vol Confluence - Combined volume indicator score Signal - Current actionable status Visual Elements Liquidity Wave - Main oscillator line Wave Signal - Smoothed signal line for crossover detection Wave Histogram - Difference between wave and signal Wave Interference - Area plot showing combined wave patterns CMF/KVO/MFI Lines - Individual volume indicator plots Divergence Labels - BULL DIV / BEAR DIV markers Shift Markers - Triangles for basic shifts, labels for strong shifts Input Parameters Wave Period (default: 21) - Base period for liquidity calculations Volume Weight (default: 1.5) - Multiplier for volume emphasis Harmonic Depth (default: 3) - Number of smoothing layers Smoothing (default: 3) - Final wave smoothing period Suggested Use Cases Identify accumulation/distribution phases using CMF and wave direction Confirm momentum with MFI overbought/oversold readings Watch for divergences between price and liquidity flow Use strong signals when multiple volume indicators align Timeframe Recommendations Best on 15m to Daily charts. Volume-based indicators require sufficient trading activity for meaningful readings. Limitations Volume data quality varies by exchange and instrument Divergence detection uses pivot-based lookback and may lag Volume Profile POC is simplified and not a full profile analysis Open-Source and Disclaimer This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. It does not constitute financial advice. Past performance does not guarantee future results. Always use proper risk management. - Made with passion by officialjackofalltrades
อินดิเคเตอร์ Pine Script®
โดย officialjackofalltrades
SCOTTGO - RVOL Bull/Bear Painter (Real-Time) SCOTTGO - RVOL Bull/Bear Painter (Real-Time Momentum Detection) 📌Overview The RVOL Bull/Bear Painter is a Pine Script indicator designed to instantly highlight high-momentum candles driven by significant Relative Volume (RVOL). It provides a clear visual signal (bar color, shape, and label) when a candle's volume exceeds its average by a user-defined threshold, confirming strong bullish or bearish interest in real-time. This helps traders quickly identify potential institutional accumulation/distribution or breakout/breakdown attempts. ✨ Key Features Relative Volume (RVOL) Calculation: Automatically calculates the ratio of the current bar's volume to its moving average (SMA or EMA) over a customizable lookback period. Momentum Confirmation: Paints the candle green (bullish) or red (bearish) only when both price direction and high RVOL criteria are met. Real-Time Detection: Uses a plotshape method to display the signal triangle as soon as the RVOL and direction conditions are met on the currently forming candle, aiming for faster alerts than bar-close coloring. Customizable Threshold: Easily adjust the RVOL multiplier (e.g., 1.5x, 2.0x, 3.0x) to filter out noise and only focus on truly significant volume events. Labels and Alerts: Displays a volume multiplier label (e.g., BULL 2.55x) and includes pre-configured alert conditions for automated notifications. 🛠️ How to Use It 1. Identify High-Conviction Moves Look for the painted candles and the corresponding labels. A candle painted green with a BULL label (e.g., BULL 2.5x) indicates that buyers stepped in with 2.5 times the typical volume to drive the price higher. 2. Configure Your Sensitivity The power of the script lies in customizing the inputs: RVOL Lookback Period: Determines the length of the volume moving average. Shorter periods (e.g., 9-20) make the indicator more reactive to recent volume changes. Longer periods (e.g., 50-200) require a much larger volume spike to trigger a signal. RVOL Threshold: This is the multiplier. Lower values (e.g., 1.5) will generate more signals. Higher values (e.g., 3.0) will generate fewer, but generally higher-conviction, signals. 3. Set Up Alerts Use the pre-configured alert conditions (Bullish RVOL Signal and Bearish RVOL Signal) in TradingView's alert menu. Crucially, set the alert frequency to "Once per bar" or "Once per minute" to receive notifications as soon as the high RVOL event occurs, without waiting for the bar to close.
อินดิเคเตอร์ Pine Script®
โดย SCOTTGO
Direction via Zone Break [by rukich]🟠 OVERVIEW The indicator shows the direction of movement and zones: SSL, BSL, FVG. Zones serve as support/resistance and as validation/invalidation of a movement reversal. 🟠 COMPONENTS The direction of movement is built based on a three-candle swing high (BSL) and swing low (SSL) pattern. If swing high (BSL) and swing low (SSL) are formed, and then an internal swing high/low is formed (depending on the direction of movement), then in case the initial movement continues — for example, in an upward movement — the new swing low (SSL) will be the minimum before the update, i.e., the internal low, while the swing high (BSL) will be formed according to the three-candle pattern. A change of direction is considered when a candle closes beyond the key swing high/low (BSL/SSL), depending on the direction of movement. For example, in an upward movement, a break occurs when a candle closes beyond the swing low (SSL). After that, the swing high (BSL) will be the nearest fractal (swing high), and the swing low (SSL) will be formed according to the three-candle pattern. All the above logic also applies to downward movements. Within each movement, there can be FVG zones, which can act as support/resistance or indicate weakness in the movement direction. Note: if the movement is upward, only bullish FVG+ will be displayed; if the movement is downward, only bearish FVG- will be displayed. Weakness of movement direction. For example, consider an upward impulse with the nearest FVG+ zone. If the price closes beyond the lower boundary of the zone, it will be considered invalidated (inv. FVG-), which in turn indicates weakness in the movement direction and a possible local short, which may subsequently lead to a break of the entire movement. 🟠 HOW TO USE There are only two visual settings in the configuration: Show previous SSL/BSL – enables/disables the display of all previous SSL/BSL zones Show Bullish/Bearish trend – enables/disables background shading between SSL and BSL for visual understanding of the movement direction On the chart, the following are displayed: Labels with current SSL/BSL FVG+- / inv. FVG+- zones, for trading in the movement direction In case the nearest FVG is invalidated, a label will appear with the text: Weak bullish/bearish & local short/long (this is not a signal, but only indicates the probability of a potential move based on the weakness of the nearest zone) 🟠 CONCLUSION The indicator helps determine the current movement with zones for trading in the direction, and also indicates movement weakness through invalidation of the nearest zones.
อินดิเคเตอร์ Pine Script®
โดย rukich
12
Stochastic BTC OptimizedEnhanced Stochastic for Bitcoin (BTC) – Optimized for Daily Timeframe This enhanced Stochastic oscillator is specifically fine-tuned for BTC/USD on the 1D timeframe, leveraging historical data from Bitstamp (2011–2025) to minimize false signals and maximize reliability in Bitcoin's volatile swings. Unlike the classic Stochastic (14, 3, 3), this version uses optimized parameters: - K Period = 21 – smoother reaction, better suited for BTC’s macro cycles - D Period = 3, Smooth K = 3 – reduces noise while preserving responsiveness - Overbought = 85, Oversold = 15 – accounts for BTC’s tendency to trend strongly within extreme zones without immediate reversal ✅ Smart Signal Logic: Buy/sell signals appear only when %K crosses %D inside the oversold (≤15) or overbought (≥85) zones, and only the first signal is shown to avoid whipsaws. Visual Enhancements: - Thick lines when %K/%D are in overbought/oversold zones - Green/red background highlights on valid signals - Optional up/down arrows for clear entry visualization - Customizable colors, line widths, and transparency 🔒 No alerts included – clean, focused on price action and momentum. 💡 Pro Tip: For even higher accuracy, use this indicator in combination with a long-term trend filter (e.g., EMA 200). The oscillator excels in ranging or retracement phases but should not be used alone in strong parabolic moves. Based on Mozilla Public License v2.0 – feel free to use, modify, and share. Perfect for swing traders and long-term Bitcoin analysts seeking high-probability reversal zones. перевод на русский Улучшенный Stochastic для Bitcoin (BTC) — оптимизирован для дневного таймфрейма Этот улучшенный осциллятор Stochastic специально настроен под BTC/USD на дневном графике, с учётом исторических данных Bitstamp (2011–2025), чтобы минимизировать ложные сигналы и повысить надёжность в условиях высокой волатильности биткоина. В отличие от классического Stochastic (14, 3, 3), эта версия использует оптимизированные параметры: - Период K = 21 — более плавная реакция, лучше соответствует макроциклам BTC - Период D = 3, Сглаживание K = 3 — снижает шум, сохраняя отзывчивость - Уровень перекупленности = 85, перепроданности = 15 — учитывает склонность BTC к сильным трендам в экстремальных зонах без немедленного разворота ✅ Интеллектуальная логика сигналов: Покупка/продажа отображается только при пересечении %K и %D внутри зоны перепроданности (≤15) или перекупленности (≥85), и только первый сигнал фиксируется, чтобы избежать «хлыстов». Улучшенная визуализация: - Жирные линии, когда %K/%D находятся в экстремальных зонах - Зелёный/красный фон при появлении сигналов - Опциональные стрелки для чёткого отображения точек входа - Настройка цветов, толщины линий и прозрачности 🔒 Без алертов — чистый инструмент, сфокусированный на цене и импульсе. 💡 Совет профессионала: для ещё большей точности используйте этот индикатор вместе с трендовым фильтром (например, EMA 200). Осциллятор лучше всего работает в фазах консолидации или отката, но не стоит применять его в одиночку во время сильных параболических движений. На основе Mozilla Public License v2.0 — свободно используйте, модифицируйте и делитесь. Идеален для свинг-трейдеров и аналитиков Bitcoin, ищущих зоны с высокой вероятностью разворота.
อินดิเคเตอร์ Pine Script®
โดย indexrate
1
Greer Gap# Greer Gap Indicator (No mitigation: i.e. removing false signals) ## Summary The **Greer Gap Indicator** identifies **Fair Value Gaps (FVGs)** and introduces specialized **Greer Bull Gaps (Blue)** and **Greer Bear Gaps (Orange)** to highlight high-probability trading opportunities. Unlike traditional FVG indicators, it avoids hindsight bias by not removing historical gaps based on future price action, ensuring transparency in signal accuracy. Built upon LuxAlgo’s FVG logic, it adds unique filtering: only the first Greer Gap after an opposite gap is plotted if its level (min for Bull, max for Bear) is not higher/lower than the previous Greer Gap of the same type, while all valid gaps are recorded for comparison. Traders can use these gaps as support/resistance or entry signals, customizable via timeframe, look back, and display options. ## Description This indicator detects and displays **Fair Value Gaps (FVGs)** on the chart, with a focus on specialized **Greer Gaps**: - **Bullish Gaps (Green)**: Areas where the low of the current candle is above the high of a previous candle (look back period), indicating potential upward momentum. - **Bearish Gaps (Red)**: Areas where the high of the current candle is below the low of a previous candle, indicating potential downward momentum. - **Greer Bull Gaps (Blue)**: A bullish gap that is above the latest bearish gap's max. Only the first such gap after a bearish gap is plotted if it meets criteria (not higher than the previous Greer Bull Gap's min), but all valid ones are recorded for comparison. - **Greer Bear Gaps (Orange)**: A bearish gap that is below the latest bullish gap's min. Only the first such gap after a bullish gap is plotted if it meets criteria (not lower than the previous Greer Bear Gap's max), but all valid ones are recorded. ## How It Works The script uses a dynamic look back period to detect FVGs. It maintains a record of all detected gaps and applies additional logic for Greer Gaps: - **Greer Bull Gaps**: Checks if the new bullish gap's min is above the latest bearish gap's max. Plots only if it's the first since the last bearish gap and its min is <= previous Greer Bull min (or first one). - **Greer Bear Gaps**: Checks if the new bearish gap's max is below the latest bullish gap's min. Plots only if it's the first since the last bullish gap and its max is >= previous Greer Bear max (or first one). - **Resets**: A new bearish gap resets the Greer Bull Gap flag, and a new bullish gap resets the Greer Bear Gap flag. ## How to Use - **Timeframe**: Set a higher timeframe (e.g., 'D' for daily) to detect gaps from that timeframe on the current chart. - **Look back Period**: Adjust to change gap detection sensitivity (default: 34). Use 2 if you want to compare to LuxAlgo - **Extend**: Controls how far right the gap boxes extend. - **Show Options**: Toggle visibility of all bullish/bearish gaps or Greer Gaps. - **Colors**: Customize colors for each gap type. - **Application**: Use Greer Gaps as potential support/resistance levels or entry signals, but combine with other analysis for confirmation. ## Originality and Credits This script is inspired by and builds upon the **"Fair Value Gap "** indicator by LuxAlgo (available on TradingView: ()). **Credits**: Thanks to LuxAlgo for the core FVG detection logic. **Significant Changes**: - Added **Greer Bull and Bear Gap** logic for filtered, directional gaps with reset mechanisms. - Introduced recording of all valid Greer Gaps without plotting all, to compare levels without hindsight bias. - **No mitigation/removal of gaps**: Unlike LuxAlgo's approach, which mitigates (removes or alters) gaps based on future price action (e.g., when filled), this can create a hindsight bias where incorrect signals disappear over time. If a signal is used for a trade and later removed due to new data, it doesn't reflect real-time performance accurately. The Greer Gap avoids this by using gap comparisons to validate signals without altering historical boxes, ensuring transparency in when signals were right or wrong.
อินดิเคเตอร์ Pine Script®
โดย controllinghand
RSI Divergence (Nikko)RSI Divergence by Nikko 🧠 RSI Divergence Detector — Nikko Edition This script is an enhanced RSI Divergence detector built with Pine Script v6, modified for better visuals and practical usability. It uses linear regression to detect bullish and bearish divergences between the RSI and price action — one of the most reliable early signals in technical analysis. ✅ Improvements from the Original: - Clean divergence lines using regression fitting. - Optional label display to reduce clutter (Display Labels toggle). - Adjustable line thickness (Display Line Width). - A subtle heatmap background to highlight RSI overbought/oversold zones. - Uses max accuracy with high calc_bars_count and custom extrapolation window. 🔍 How It Works: The script applies linear regression (least squares method) on both RSI data, and Price (close) data. It then compares the direction of RSI vs. direction of Price over a set length. If price is making higher highs while RSI makes lower highs, it's a bearish divergence. If price is making lower lows while RSI makes higher lows, it's a bullish divergence. Additional filters (e.g., momentum and slope thresholds) are used to validate only strong divergences. 🔧 Input Parameters: RSI Length: The RSI period (default: 14). RSI Divergence Length: The lookback period for regression (default: 25). Source: Which price data to calculate RSI from (default: close). Display Labels: Show/hide “Bullish” or “Bearish” labels on the chart. Display Line Width: Adjusts how thick the plotted divergence lines appear. 📣 Alerts: Alerts are built-in for both RSI Buy (bullish divergence) and RSI Sell (bearish divergence) so you can use it in automation or notifications. 🚀 Personal Note: I’ve been using this script daily in my own trading, which is why I took time to improve both the logic and visual clarity. If you want a divergence tool that doesn't clutter your chart but gives strong signals, this might be what you're looking for.
อินดิเคเตอร์ Pine Script®
โดย CryptoNikkoid
3
Stacked Bullish vs Bearish VolumeThis indicator visually represents buying (bullish) and selling (bearish) pressure within each candle by stacking both portions inside a single volume bar. Unlike traditional volume indicators that use only one color per bar, this script splits each volume bar into two segments: Green portion (Bullish Volume) → Represents the buying pressure when the price moves up. Red portion (Bearish Volume) → Represents the selling pressure when the price moves down. By stacking buy and sell volume inside the same column, traders can easily assess the balance of buying vs selling activity within each trading session. Stacking the Bars: The bullish portion (green) is plotted first. The bearish portion (red) is plotted slightly offset to create a stacked effect.
อินดิเคเตอร์ Pine Script®
โดย sigmaboy8
4
RVMM IndicatorRVMM Indicator RVMM Indicator combines four indicators: RSI, VWAP, MFI, and Momentum to provide comprehensive technical analysis. This indicator helps traders identify potential market conditions based on the interaction of these indicators. Components of the RVMM Indicator 1. RSI (Relative Strength Index) RSI is a momentum indicator that measures the speed and change of price movements. RSI oscillates between 0 and 100 and is used to identify overbought and oversold conditions in the market. Buy Level: Set at 30. When RSI falls below 30, the market is considered oversold, which may suggest a potential upward trend reversal. Sell Level: Set at 70. When RSI rises above 70, the market is considered overbought, which may suggest a potential downward trend reversal. 2. VWAP (Volume Weighted Average Price) VWAP is an indicator that combines price and volume to calculate the average price weighted by volume. VWAP is used to identify support and resistance areas and assess the strength of price movements. Interpretation: If the price is above the VWAP line, the market is likely in an uptrend. If the price is below the VWAP line, the market is in a downtrend. 3. MFI (Money Flow Index) MFI is a momentum indicator that considers both price and volume. MFI oscillates between 0 and 100 and is used to identify overbought and oversold conditions in the market. Oversold Level: Set at 20. When MFI falls below 20, the market is considered oversold. Overbought Level: Set at 80. When MFI rises above 80, the market is considered overbought. 4. Momentum Momentum is an indicator that measures the speed of price changes. This indicator is used to identify the strength of a trend. Interpretation: High momentum values indicate a strong uptrend, while low momentum values indicate a strong downtrend. How to Use the RVMM Indicator Interpreting Market Conditions: RSI : Check RSI values below 30 to identify oversold conditions, and above 70 to identify overbought conditions. VWAP : Observe whether the price is above or below the VWAP line to determine if the market is in an uptrend or downtrend. MFI : Check if MFI is below 20 to identify oversold conditions, and above 80 to identify overbought conditions. Momentum : Analyze momentum values to gauge the strength of the current trend. Confirming Market Conditions: Use VWAP, MFI, and Momentum to confirm market conditions identified by RSI. If the price is above the VWAP line, and MFI and Momentum indicate the strength of the uptrend, the market may be in a bullish phase. If the price is below the VWAP line, and MFI and Momentum indicate the strength of the downtrend, the market may be in a bearish phase. Risk Management: Set stop-loss and take-profit levels based on technical analysis and your trading preferences. Monitor the market and adjust stop-loss and take-profit levels as market conditions change. Example of Application Here is an example of how to use the RVMM Indicator in practice: Bullish Phase: When the price is above the VWAP line, RSI is below 30, and MFI and Momentum indicate the strength of the uptrend, the market is likely in a bullish phase. Bearish Phase: When the price is below the VWAP line, RSI is above 70, and MFI and Momentum indicate the strength of the downtrend, the market is likely in a bearish phase.
อินดิเคเตอร์ Pine Script®
โดย cryptosada
Bull vs Bear CandlesThe Bull vs Bear Candles indicator helps you analyze market sentiment by counting and comparing bullish and bearish candles. It tracks the number of bullish candles and calculates their percentage, then does the same for bearish candles. Based on this data, the indicator determines whether bulls or bears are in control. Additionally, it counts the total number of candles within the selected range, giving you a clearer picture of price action. Use this tool to quickly assess market trends and make more informed trading decisions. 🚀
อินดิเคเตอร์ Pine Script®
โดย yourtradingbuddy
RSI BB StdDev SignalOverview The RSI BB StdDev Signal Indicator is a powerful tool designed to enhance your trading strategy by combining the Relative Strength Index (RSI) with Bollinger Bands (BB). This unique combination allows traders to identify potential buy and sell signals more accurately by leveraging the strengths of both indicators. The RSI helps in identifying overbought and oversold conditions, while the Bollinger Bands provide a dynamic range to assess volatility and potential price reversals. Key Features — RSI Calculation: The indicator calculates the RSI based on user-defined parameters, allowing for customization to fit different trading styles. — Bollinger Bands Integration: The RSI values are smoothed using a moving average, and Bollinger Bands are applied to this smoothed RSI to generate buy and sell signals. — Divergence Detection: The indicator includes an optional feature to detect and alert on bullish and bearish divergences between the RSI and price action. — Customizable Alerts: Users can set up alerts for buy and sell signals, as well as for divergences, ensuring they never miss a trading opportunity. — Visual Aids: The indicator plots the RSI, Bollinger Bands, and signals on the chart, making it easy to visualize and interpret the data. How It Works 1. RSI Calculation: — The RSI is calculated using the change in the source input (default is close price) over a specified period. — The RSI values are then plotted on the chart with customizable overbought and oversold levels. 2. Smoothing and Bollinger Bands: — The RSI values are smoothed using a moving average (SMA, EMA, SMMA, WMA, VWMA) selected by the user. — Bollinger Bands are applied to the smoothed RSI to create dynamic upper and lower bands. 3. Signal Generation: —Buy signals are generated when the RSI crosses above the lower Bollinger Band. —Sell signals are generated when the RSI crosses below the upper Bollinger Band. —These signals are plotted on both the RSI pane and the main price chart for easy reference. 4. Divergence Detection: — The indicator can detect and alert on regular bullish and bearish divergences between the RSI and price action. — Bullish divergences occur when the price makes a lower low, but the RSI makes a higher low. — Bearish divergences occur when the price makes a higher high, but the RSI makes a lower high. Usage 1. Setting Up: — Add the indicator to your TradingView chart. — Customize the RSI length, source, and other parameters in the settings panel. — Enable or disable the divergence detection based on your trading strategy. 2. Interpreting Signals: — Use the buy and sell signals generated by the RSI crossing the Bollinger Bands as potential entry and exit points. — Pay attention to divergences for additional confirmation of trend reversals. 3. Alerts: — Set up alerts for buy and sell signals to receive notifications in real-time. — Enable divergence alerts to be notified of potential trend reversals. Conclusion The RSI BB StdDev Signal Indicator is a comprehensive tool that combines the strengths of the RSI and Bollinger Bands to provide traders with more accurate and reliable signals. Whether you are a beginner or an experienced trader, this indicator can enhance your trading strategy by offering clear visual cues and customizable alerts. Note This indicator is provided with open-source code, allowing users to understand its logic and customize it further if needed. The detailed description and customizable settings ensure that traders of all levels can benefit from its unique features.
อินดิเคเตอร์ Pine Script®
โดย trade_lexx
2
Average Bullish & Bearish Percentage ChangeAverage Bullish & Bearish Percentage Change Processes two key aspects of directional market movements relative to price levels. Unlike traditional momentum tools, it separately calculates the average of positive and negative percentage changes in price using user-defined independent counts of actual past bullish and bearish candles. This approach delivers comprehensive and precise view of average percentage changes. FEATURES: Count-Based Averages: Separate averaging of bullish and bearish %𝜟 based on their respective number of occurrences ensures reliable and precise momentum calculations. Customizable Averaging: User-defined number of candle count sets number of past bullish and bearish candles used in independent averaging. Two Methods of Candle Metrics: 1. Net Move: Focuses on the body range of the candle, emphasizing the net directional movement. 2. Full Capacity: Incorporates wicks and gaps to capture full potential of the bar. The indicator classifies Doji candles contextually, ensuring they are appropriately factored into the bullish or bearish metrics to avoid mistakes in calculation: 1. Standard Doji - open equals close. 2. Flat Close Doji - Candles where the close matches the previous close. Timeframe Flexibility: The indicator can be applied across any desired timeframe, allowing for seamless multi-timeframe analysis. HOW TO USE Select Method of Bar Metrics: Net Move: For analyzing markets where price changes are consistent and bars are close to each other. Full Capacity: Incorporates wicks and gaps, providing relevant figures for markets like stocks Set the number of past candles to average: 🟩 Average Past Bullish Candles (Default: 10) 🟥 Average Past Bullish Candles (Default: 10) Why Percentage Change Is Important Standardized Measurement Across Assets: Percentage change normalizes price movements, making it easier to compare different assets with varying price levels. For example, a $1 move in a $10 stock is significant, but the same $1 move in a $1,000 stock is negligible. Highlights Relative Impact: By measuring the price change as a percentage of the close, traders can better understand the relative impact of a move on the asset’s overall value. Volatility Insights: A high percentage change indicates heightened volatility, which can be a signal of potential opportunities or risks, making it more actionable than raw price changes. Percents directly reflect the strength of buying or selling pressure, providing a clearer view of momentum compared to raw price moves, which may not account for the relative size of the move. By focusing on percentage change, this indicator provides a normalized, actionable, and insightful measure of market momentum, which is critical for comparing, analyzing, and acting on price movements across various assets and conditions.
อินดิเคเตอร์ Pine Script®
โดย fract
6
US Sentiment Index [CryptoSea]The US Sentiment Index is an advanced analytical tool designed for traders seeking to uncover patterns, correlations, and potential leading signals across key market tickers. This indicator surpasses traditional sentiment measures, providing a data-driven approach that offers deeper insights compared to conventional indices like the Fear and Greed Index. Key Features Multi-Ticker Analysis: Integrates data from a diverse set of market indicators, including gold, S&P 500, U.S. Dollar Index, Volatility Index, and more, to create a comprehensive view of market sentiment. Customisable Sensitivity Settings: Allows users to adjust the moving average period to fine-tune the sensitivity of sentiment calculations, adapting the tool to various market conditions and trading strategies. Detailed Sentiment Scaling: Utilises a 0-100 scale to quantify sentiment strength, with colour gradients that visually represent bearish, neutral, and bullish conditions, aiding in quick decision-making. Below is an example where the sentiment index can give leading signals. We see a first sign of wekaness in the index as it drops below its moving average. Shortly after we see it dip below our median 50 level, another sign of weakeness. We see the SPX price action to take a hit following the sentiment index decrease. Tickers Used and Their Impact on Sentiment The impact of each ticker on sentiment can be bullish or bearish, depending on their behaviour: Gold (USGD): Typically seen as a safe-haven asset, rising gold prices often indicate increased market fear or bearish sentiment. Conversely, falling gold prices can signal reduced fear and a shift towards bullish sentiment in riskier assets. S&P 500 (SPX): A rising S&P 500 is usually a sign of bullish sentiment, reflecting confidence in economic growth and market stability. A decline, however, suggests bearish sentiment and a potential move towards risk aversion. U.S. Dollar Index (DXY): A strengthening U.S. Dollar can be a sign of fear as investors seek safety in the dollar, which is bearish for risk assets. A weakening dollar, on the other hand, can signal bullish sentiment as capital flows into riskier assets. Volatility Index (VIX): Known as the "fear gauge," a rising VIX indicates increased market fear and bearish sentiment. A falling VIX suggests a calm, bullish market environment. Junk Bonds (JNK): Rising junk bond prices often reflect bullish sentiment as investors take on more risk for higher returns. Conversely, falling junk bond prices signal increased fear and bearish sentiment. Long-Term Treasury Bonds (TLT): Higher prices for long-term treasuries usually indicate a flight to safety, reflecting bearish sentiment. Lower prices suggest a shift towards riskier assets, indicating bullish sentiment. Financial Sector ETF (XLF): Strength in the financial sector is typically bullish, indicating confidence in economic conditions. Weakness in this sector can reflect bearish sentiment and concerns about financial stability. Unemployment Rate (USUR): A rising unemployment rate is a bearish signal, indicating economic weakness. A declining unemployment rate is bullish, reflecting economic strength and job growth. U.S. Interest Rates (USINTR, USIRYY): Higher interest rates can be bearish, as they increase borrowing costs and reduce spending. Lower rates are generally bullish, promoting economic growth and risk-taking. How it Works Sentiment Calculation: The US Sentiment Index combines data from multiple tickers, calculating sentiment by scaling the distance from their respective moving averages. Each asset's behaviour is interpreted within the context of market fear or greed, providing a refined sentiment reading that adjusts dynamically. Market Strength Analysis: When the index is above 50 and also above its moving average, it indicates particularly strong or bullish market conditions, driven by greed. Conversely, when the index is below 50 and under its moving average, it signals bearish or weak market conditions, associated with fear. Correlation and Pattern Detection: The indicator analyses correlations among the included assets to detect patterns that might signal potential market movements, giving traders a leading edge over simpler sentiment measures. Adaptive Background Colouring: Utilises a colour gradient that dynamically adjusts based on sentiment values, highlighting extreme fear, neutral, and extreme greed levels directly on the chart. Flexible Display Options: Offers settings to toggle the moving average plot and adjust its period, giving users the ability to tailor the indicator's sensitivity and display to their specific needs. In this example below, we can see the Sentiment rise above the Moving Average (MA). Price action goes on to follow this, although there is an instance where it dips below the MA, it quickly rises back above again as a sign of strength. Another way you can use this index is by simply using the MA, if its trending up, we know the macro sentiment is bullish. Application Data-Driven Insights: Offers traders a detailed, data-driven approach to sentiment analysis, incorporating a broad spectrum of market indicators to deliver actionable insights. Pattern Recognition: Helps identify patterns and correlations that may lead to market reversals or continuations, providing a nuanced view that goes beyond simple sentiment gauges. Enhanced Decision-Making: Equips traders with a robust tool to validate trading strategies and make informed decisions based on comprehensive sentiment analysis. The US Sentiment Index by is an essential addition to the toolkit of any trader looking to navigate market complexities with precision and confidence. Its advanced features and data-driven approach offer unparalleled insights into market sentiment, setting it apart from conventional sentiment indicators.
อินดิเคเตอร์ Pine Script®
โดย CryptoSeaTV
RCYC Bullish Bearish Indicator Summary: The RCYC Bullish Bearish Indicator is a custom trading tool designed to help traders identify potential bullish and bearish conditions in the market using a combination of KDJ and RSI indicators. This indicator uses color-coded candles to visually represent bullish and bearish signals, making it easy to identify trend changes on the chart. The script is particularly useful for traders who prefer visual signals and want to incorporate both trend momentum (KDJ) and relative strength (RSI) in their analysis. Description: The RCYC Bullish Bearish Indicator is a unique mashup of the KDJ and RSI indicators, optimized to provide a clear visual representation of market conditions through color-coded candles. This indicator not only identifies the potential trend shifts but also provides alerts for significant crossover points, enhancing a trader's ability to make informed decisions. How It Works: KDJ Calculation: The KDJ is a variation of the Stochastic Oscillator that includes the %J line, which can go beyond the typical 0-100 range of %K and %D. The KDJ component of this indicator calculates the highest high and lowest low over a specified period (KDJ Length), using these values to derive the %K line. The %D line is a smoothed version of %K, and the %J line is derived from %K and %D using the formula: J = 3 * %K - 2 * %D. This indicator focuses on the behavior of the %J line in relation to a mid-point level (50), identifying crossovers and crossunders that signal potential shifts in market sentiment. RSI Calculation: The Relative Strength Index (RSI) is a momentum oscillator that measures the speed and change of price movements. It is widely used to identify overbought or oversold conditions. In this indicator, RSI values are adjusted and plotted to align visually with the KDJ values, providing a complementary momentum analysis. Crossover Logic and Candle Coloring: The indicator tracks two main events: CrossOver50: When the %J line crosses above the 50 level, indicating potential bullish momentum. CrossUnder50: When the %J line crosses below the 50 level, indicating potential bearish momentum. Depending on the crossover events, the script changes the color of the candles on the chart: Red candles on the initial crossover above 50, followed by dark blue candles to maintain bullish sentiment. Yellow candles on the initial crossover below 50, followed by light blue candles to maintain bearish sentiment. Alerts: The indicator includes alert conditions for both bullish and bearish signals: Red Candle Alert: Notifies the trader when the %J line crosses above 50. Yellow Candle Alert: Notifies the trader when the %J line crosses below 50. These alerts allow traders to react promptly to key market signals without continuously monitoring the chart. Usage and Benefits: This indicator is designed for traders looking to combine momentum and trend analysis into a single visual tool. It is particularly useful for those trading in trending markets or looking for entry/exit signals based on momentum shifts. The color-coded candles provide an intuitive way to assess market conditions at a glance, reducing the complexity associated with analyzing multiple indicators separately. By integrating both KDJ and RSI, the RCYC Bullish Bearish Indicator offers a balanced approach to trend detection and momentum confirmation, making it versatile for various trading styles, including scalping, swing trading, and position trading. Originality and Usefulness: While the indicator builds upon the familiar concepts of KDJ and RSI, it uniquely merges them into a cohesive visual tool with distinct crossover-based alerts and candle coloring. This approach makes the indicator original, as it simplifies the interpretation of complex signals into straightforward visual cues, enhancing the decision-making process for traders who prefer chart-based analysis.
อินดิเคเตอร์ Pine Script®
โดย bizarro29
1
Truly Bullish & Bearish CandleThis Pine Script indicator identifies and highlights truly bullish and bearish candles on your chart. Truly bullish candles are characterized by a strong bullish close significantly above the specific percentage, suggesting strong buying pressure. Conversely, truly bearish candles exhibit a strong bearish close significantly below the specific percentage, indicating strong selling pressure. By identifying these candles, traders can gain insights into potential shifts in market sentiment and make more informed trading decisions. Key Features: Identifies truly bullish and bearish candles based on strong open/close differentials. Highlights these candles on the chart for easy visualization. Helps traders identify potential reversals or continuations in market trends. Customizable parameters for fine-tuning to suit individual trading strategies. Compatible with various timeframes and trading instruments. Usage Instructions: Apply the indicator to your chart. Configure the settings according to your preferences. Look for highlighted truly bullish and bearish candles as potential entry or exit signals. Consider additional analysis and risk management strategies to confirm trading decisions. Disclaimer: This indicator is provided for informational and educational purposes only. It is not intended as financial advice or trading recommendations. Trading involves risks, and it's essential to conduct thorough research and practice proper risk management techniques.
อินดิเคเตอร์ Pine Script®
โดย mayureshjadhav12
1
TrendPivotsLibrary "TrendPivots" This library provides functions to search for bullish and bearish divergences between pivots and indicators. Functions search for higher highs and lower lows, automating lines, labels and signals for technical analysis and strategies. method maxBeforeLast(id)   Method function to get the maximum price before the last, stored in an array pivotPoint.   Namespace types: pivotPoint   Parameters:      id (pivotPoint ) : (array pivotPoint) The pivotPoint array to inspect.   Returns: pivotPoint method minBeforeLast(id)   Method function to get the minimum price before the last, stored in an array pivotPoint.   Namespace types: pivotPoint   Parameters:      id (pivotPoint ) : (array pivotPoint) The pivotPoint array to inspect.   Returns: pivotPoint method pivotLine(id, a, b, color)   Sets the coordinates of a given line using two pivotPoint variables.   Namespace types: series line   Parameters:      id (line) : (line) Existing line      a (pivotPoint) : (pivotPoint) First pivotPoint.      b (pivotPoint) : (pivotPoint) Second pivotPoint.      color (color) : (color) The desired color. Default is red.   Returns: void bearishDivergence(pivotArray)   Look for bearish divergence in a pivotPoint array cointaining pivot highs.   Parameters:      pivotArray (pivotPoint ) : (array pivotPoint) The pivotPoint array to inspect.   Returns: bool True if bearish divergence was found. bullishDivergence(pivotArray)   Look for bullish divergence in a pivotPoint array cointaining pivot lows.   Parameters:      pivotArray (pivotPoint ) : (array pivotPoint) The pivotPoint array to inspect.   Returns: bool True if bullish divergence was found. uptrendPivot(leftBars, rightBars, indicator, reset, plotLabel, plotLine)   Detects higher highs, higher lows and bearish divergence in an uptrend. Creates a line when bearish divergence is found, and labels.   Parameters:      leftBars (int) : (int)      rightBars (int) : (int)      indicator (float) : (float) RSI, MACD or other value.      reset (bool) : (bool) A bool variable to reinitiates the pivot computation, such as time changes, crossovers, or another.      plotLabel (bool) : (bool) If true (default), plots labels to higher highs and for each pivot low. Default = true.      plotLine (bool) : (bool) If true (default), plots a line linking the lower lows with divergence. Default = true.   Returns: downtrendPivot(leftBars, rightBars, indicator, reset, plotLabel, plotLine)   Detects lower lows, lower highs, and bullish divergence in a downtrend. Creates a line when bullish divergence is found, and labels.   Parameters:      leftBars (int) : (int)      rightBars (int) : (int)      indicator (float) : (float) RSI, MACD or other value.      reset (bool) : (bool) A bool variable to reinitiates the pivot computation, such as time changes, crossovers, or another.      plotLabel (bool) : (bool) If true (default), plots labels to lower lows, and for each pivot low.      plotLine (bool) : (bool) If true (default), plots a line linking the lower lows with divergence. Default = true.   Returns: pivotPoint   The coordinates of a pivot point and corresponding indicator value.   Fields:      x (series int) : (int) Time.      y (series float) : (float) Price.      indicator (series float) : (float) Indicator value.
ไลบรารี Pine Script®
โดย metacamaleo
1
Bull Bear Power with Optional Normalization FunctionThis indicator is designed to provide traders with insights into market sentiment and potential trend reversals. This indicator enhances the traditional Bull Bear Power (BBP) by adding valuable visualizations and customization options to assist traders in making informed trading decisions. Indicator Overview: The NBBP indicator calculates Bull Bear Power, which measures the strength of bullish and bearish forces in the market. It does so by taking the difference between the high and the exponential moving average (EMA) of the closing price for a specified length. This raw BBP is represented on the chart as a line. Key Features: -- Zero Line : The NBBP indicator introduces a central reference line at zero. This line serves as a pivotal point for interpreting market sentiment. When the BBP line is above zero, it is colored green, indicating a predominance of bullish sentiment. Conversely, when the BBP line is below zero, it turns red, signaling a prevalence of bearish sentiment. This coloration helps traders quickly identify shifts in market sentiment. -- OPTIONAL Normalization Function : One of the standout features of the NBBP indicator is its optional normalization function. When activated in the settings menu, this function scales the BBP values from -1 to +1. This means that BBP values are adjusted to fit within a standardized range, making it easier for traders to compare sentiment across different timeframes or assets. Normalization is particularly valuable for identifying extreme sentiment conditions and potential reversals. -- Moving Average : To provide additional context and smooth out BBP fluctuations, the indicator includes an exponential moving average (EMA). The EMA of BBP is plotted on the chart as a white line. Traders can use this moving average to identify trends and potential trend reversals. -- Fill Between Lines : The indicator visually enhances the BBP by filling the area between the BBP line and the zero line with a translucent color. This fill helps traders visualize the strength and duration of bullish or bearish sentiment. Interpretation: -- BBP Line : Traders can assess the raw BBP line for shifts in sentiment. When the line crosses above zero, it may suggest a shift from bearish to bullish sentiment, potentially indicating a buying opportunity. Conversely, when the line crosses below zero, it may signal a shift from bullish to bearish sentiment, suggesting a potential selling opportunity. -- Normalization Function : The optional normalization function allows traders to gauge sentiment on a standardized scale. Values above 0 indicate bullish sentiment, while values below 0 suggest bearish sentiment. The closer the values are to their polar ends (-1 or +1), the stronger the sentiment. -- Moving Average : The EMA of BBP helps identify trends. When BBP crosses above the EMA, it may indicate a strengthening bullish trend, while a crossover below the EMA may suggest a bearish trend. Customization: The NBBP indicator provides traders with flexibility through customizable settings. Users can adjust the BBP length, EMA length, and choose to activate or deactivate the normalization function based on their trading preferences and strategy. Limitations: The NBBP indicator is most effective when used in conjunction with other technical analysis tools and market context. Traders should consider multiple factors when making trading decisions. Normalization function results may vary depending on the chosen length and market conditions. If the desired result is not achieved through default settings, try changing timeframes or toggling on/off the normalization function. Users should exercise caution and combine it with other indicators and analysis techniques. In conclusion, the NBBP indicator is a versatile tool that empowers traders to assess market sentiment, identify potential reversals, and follow trends. Its intuitive visualizations, normalization function, and customizable settings make it a valuable addition to any trader's toolkit.
อินดิเคเตอร์ Pine Script®
โดย LeafAlgo
2