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Smart Money SniperSmart Money Sniper combines 5 institutional signal types into one clean overlay — no repainting, no clutter, just high-conviction entries based on real Smart Money Concepts and ICT methodology. SIGNAL TYPES: 🟢 LONG BOS / 🔴 SHORT BOS — Full SMC sequence: liquidity sweep → CHoCH → Break of Structure. Highest conviction entries. 🔵 LONG DIV / 🟠 SHORT DIV — RSI divergence at swing extremes with engulfing candle confirmation. 90-100% win rate in backtesting. 🟡 LONG ST / SHORT ST — Supertrend flip with ADX trend strength filter. Early trend change warning. 🟣 LONG MOM / SHORT MOM — MACD cross + RSI fade + structure break. Catches trendline breaks without waiting for full SMC sequence. ⚪ LONG REJ / SHORT REJ — Real-time resistance and support rejection using live 20-bar highs and lows. No pivot lag. Fires the moment the rejection candle closes. BUILT-IN FILTERS: - ADX trend strength — no signals in weak trends - Volume confirmation — institutional activity only - Ranging market filter — yellow background warning - RSI zone filters tuned per signal type - LONG BOS cooldown timer — prevents cluster entries SETTINGS: All RSI thresholds are adjustable inputs so you can tune the indicator for your preferred timeframe. Recommended defaults are optimized for the 1H chart. Best timeframes: 1H (entries) | 4H (direction) Developed and backtested on BTCUSD across 18 months of data covering both bull and bear market conditions. Alerts included for all 10 signal types plus combined LONG/SHORT any-signal alerts.
Wskaźnik Pine Script®
od joshuavegahawkins
MACD Advanced: Trend-Weighted MomentumMACD Advanced Overview MACD Advanced is a refined version of the classic Moving Average Convergence Divergence. While the standard MACD identifies changes in momentum, it often produces false signals in ranging markets or against a strong higher-timeframe trend. This script addresses that by "tilting" the MACD calculation based on the slope of a Higher Timeframe (HTF) Moving Average. How it Works The script integrates a Trend Bias Factor derived from the rate of change of a long-period EMA (default 200) from a user-defined timeframe. The Math: It calculates the ratio between the current HTF EMA and its value $n$ bars ago. This ratio is then used to offset the MACD line. Bullish Bias: If the HTF EMA is sloping upward, the MACD is shifted higher, making bearish crossovers harder to trigger and bullish ones more sensitive. Bearish Bias: If the HTF EMA is sloping downward, the MACD is dragged lower, prioritizing short-side momentum. Key Features MTF Integration: Analyze the daily trend while trading on the 5m or 15m chart. Dynamic Histogram: The visual fill between the MACD and its momentum provides a clear look at when momentum is accelerating or exhausting relative to the trend. Customizable Sensitivity: Adjust the lookback period for the trend slope to match your specific asset’s volatility. How to Trade Trend Confirmation: Look for the MACD line (the columns) to cross the zero line. This indicates that both short-term momentum and long-term trend are in alignment. Momentum Exhaustion: When the inner histogram (the fill) begins to shrink back toward the MACD columns, it suggests a potential pull-back or profit-taking zone. Divergences: Look for price making a new high while the MACD Advanced makes a lower high; the trend-weighting makes these divergences more prominent during trend exhaustion. Technical Approach Normalization of MTF Data: The script uses request.security with barmerge.gaps_off to ensure that higher timeframe data is mapped correctly to the current chart bars without creating visual "steps" or "staircases." The Delta Calculation: Instead of a simple boolean filter, we calculate a relative value r = EMA_ current/EMA_ lookback By adding r - 1 to the standard MACD calculation, we create a non-linear offset. This means the more aggressive the trend, the more the MACD is displaced. Visual Architecture: The script uses two plot outputs (g1 and g2) and a fill() function. This creates a "ribbon" effect that is more intuitive than the standard "centered" histogram, as it shows momentum relative to the trend-weighted line rather than a static zero axis. Since this version of the MACD is "weighted" by a higher-timeframe trend, it changes how you read common signals. On a standard chart, the MACD just shows momentum; here, it shows momentum relative to the "big picture" slope. Here is how to effectively use the MACD Advanced on a live chart: 1. Finding the "Trend-Momentum" Alignment The most powerful signal from this indicator occurs when the Trend Factor and the Momentum Histogram both agree. The Bullish Setup: Look for the MACD columns (the "base") to be above the zero line, while the inner fill (the "histogram") is bright green. Interpretation: The Daily trend is up, and the intraday momentum is also accelerating.The Bearish Setup: Look for the MACD columns to be below the zero line, while the inner fill is bright red. Interpretation: The Daily trend is down, and intraday selling pressure is increasing. 2. Reading the "Hidden" Divergence Because we’ve added a trend offset r-1, this indicator identifies "Trend Exhaustion" better than a standard MACD. Standard Divergence: Price makes a higher high, but MACD makes a lower high. Advanced Divergence: If the price makes a higher high, but the MACD Advanced is flat or lower, it means the Higher Timeframe EMA is losing its slope. Even if the price looks strong, the "Big Picture" is flattening out. This is often a precursor to a major reversal. 3. The "Snap-Back" Trade (Mean Reversion) Since you are using a 200 EMA as the trend filter, the indicator will naturally pull back toward zero when the price gets too far from that average. The Signal: If the MACD Advanced is "overextended" (very high or very low relative to its recent history) and the inner histogram crosses back toward the zero line, it’s a sign that the price is likely to "snap back" to the mean. Application: This is great for exiting a trend trade before the actual trend reversal happens. Pro Tip: The "Zero-Cross" Filter In a strong uptrend (Daily EMA 200 is rising), the MACD Advanced will rarely cross below zero. If you see the histogram dip into the red while the MACD columns stay green/above zero, treat that as a "Buy the Dip" opportunity rather than a "Sell" signal. The Chart shows regular MACD vs ADVANCED MACD one can easily observe the difference between them and the trend is identified easily.
Wskaźnik Pine Script®
od traderharikrishna
Adaptive Velocity Oscillator [UAlgo]Adaptive Velocity Oscillator is a momentum and reversal framework built around the rate of change of an Adaptive Moving Average. Instead of using a fixed smoothing engine, the script first creates a Kaufman style adaptive average whose responsiveness changes according to market efficiency, then measures how fast that adaptive baseline is moving from one bar to the next. That velocity becomes the core oscillator. The main idea is straightforward. When the adaptive average starts accelerating upward, the oscillator rises above zero. When the adaptive average starts decelerating or turning lower, the oscillator falls below zero. This gives the user a direct view of directional pressure, but in a way that remains sensitive to changing market conditions because the underlying average itself is adaptive rather than static. To make the oscillator more practical, the script surrounds the velocity with dynamic filter bands derived from the standard deviation of the AMA series. These bands act like a contextual noise threshold. Small fluctuations inside the band are treated as less important, while stronger moves through the band can be interpreted as meaningful directional expansion or reversal activity. The script also supports two signal styles. Standard mode reacts to velocity transitions through the regular filter band. Extreme Reversal mode requires a deeper stretch into an expanded threshold before signaling a reversal style response. Optional price confirmation can then require bullish candle structure for buy signals and bearish candle structure for sell signals. A cooldown filter is added on top so the same type of signal cannot repeat too rapidly. The result is an oscillator that can be used for trend context, reversal spotting, and momentum transition analysis. It is especially useful for traders who want something more adaptive than a traditional moving average crossover or a simple rate of change calculation. 🔹 Features 🔸 Adaptive AMA Core The script uses an adaptive moving average whose smoothing constant changes according to the Efficiency Ratio. When price is moving efficiently in one direction, the average becomes more responsive. When price is noisy and directionless, the average becomes slower and more stable. 🔸 Velocity Based Oscillator The oscillator is not built from price directly. It is built from the bar to bar change of the adaptive average. This means the indicator measures how quickly the smoothed baseline itself is moving, which creates a cleaner momentum signal than raw price change alone. 🔸 Dynamic Filter Bands A statistical filter band is calculated from the standard deviation of the AMA series and then scaled by the user selected gamma value. This creates a noise threshold that expands and contracts with market conditions. 🔸 Standard and Extreme Reversal Modes In Standard mode, signals are generated when velocity crosses back through the regular filter threshold. In Extreme Reversal mode, the script requires a deeper stretch using an expanded band before a signal can trigger. This gives the user a choice between more responsive and more selective behavior. 🔸 Optional Price Confirmation Signals can require candle confirmation. Bullish signals may be restricted to bars where close is above open, and bearish signals may be restricted to bars where close is below open. This can help reduce signals that appear without supportive candle structure. 🔸 Cooldown Protection A built in cooldown logic prevents repeated same side signals from firing too close together. This helps reduce clustering during noisy or oscillatory phases. 🔸 Trend State From Zero Crosses The script also tracks velocity crosses through zero. These zero transitions can be interpreted as broader positive or negative momentum regime shifts. 🔸 Visual Context Through Color and Bands The histogram and line coloring change according to whether velocity is strongly positive, strongly negative, or neutral relative to the filter zone. This makes the oscillator easy to read at a glance. 🔸 Signal Labels and Alerts The indicator places buy and sell labels around qualifying signal bars and includes alert conditions for bullish signals, bearish signals, positive trend shifts, and negative trend shifts. 🔹 Calculations 1) AMA State Container type AMACalculator float value = na float value_prev = na float velocity = 0.0 float filterBand = 0.0 This object stores the internal state of the adaptive average engine. value holds the latest AMA value. value_prev stores the previous AMA value. velocity stores the bar to bar change of that AMA. filterBand stores the active dynamic threshold used later for signal filtering. So before any signal logic begins, the script already has a dedicated structure for the adaptive average, its momentum, and its statistical band. 2) Efficiency Ratio Calculation float change = math.abs(src - src ) float volatility = math.sum(math.abs(src - src ), lengthER) float ER = volatility == 0 ? 0 : change / volatility This is the first major step inside the AMA calculation. The script compares two quantities. change measures the net directional move from the current price back to the price lengthER bars ago. volatility measures the total path traveled during that same interval by summing all absolute bar to bar changes. The Efficiency Ratio is then: ER = change / volatility If price moved smoothly in one direction, net change will be large relative to total movement, and ER will be high. If price moved in a noisy back and forth way, total movement will be large but net change will be smaller, so ER will be low. This ratio tells the AMA how efficiently price has been moving, which directly controls how responsive the adaptive average should become. 3) Building the Adaptive Smoothing Constant float fastest = 2.0 / (fastLen + 1) float slowest = 2.0 / (slowLen + 1) float sc = math.pow(ER * (fastest - slowest) + slowest, 2) This block converts the Efficiency Ratio into a smoothing constant. First, the script computes the EMA style constants for the chosen fast and slow lengths. Then it blends between them using ER. When ER is high, the result moves closer to the fast setting. When ER is low, the result stays closer to the slow setting. Finally, the blended value is squared. This is a classic AMA technique that makes the adaptive response more sensitive to efficiency changes. So the smoothing constant automatically shifts between fast and slow behavior depending on market structure. 4) Updating the Adaptive Moving Average this.value_prev := this.value float prevAma = na(this.value_prev) ? src : this.value_prev this.value := prevAma + sc * (src - prevAma) This is the actual AMA update formula. The script first stores the previous AMA value. If no previous value exists yet, it uses the current source as the starting point. Then it updates the average using: new AMA = previous AMA + smoothing constant × (source minus previous AMA) So the adaptive average moves toward price, but the speed of that movement depends entirely on the previously calculated smoothing constant. When the market is efficient, the average reacts more quickly. When the market is noisy, it reacts more slowly. 5) Computing Velocity this.velocity := this.value - prevAma This single line is the core of the oscillator. Velocity here is simply the difference between the current AMA value and the previous AMA value. If the adaptive average is rising, velocity is positive. If the adaptive average is falling, velocity is negative. If the adaptive average is barely moving, velocity stays close to zero. So the oscillator is not measuring price change directly. It is measuring the momentum of the adaptive baseline itself. 6) Creating the Dynamic Filter Band float amaGlobalSeries = amaObj.value float sigma = ta.stdev(amaGlobalSeries, n) amaObj.filterBand := gamma * sigma After the AMA is calculated, the script builds a dynamic filter threshold from its standard deviation. sigma measures how much the AMA has been varying over the selected period. That value is then scaled by gamma to create the final filter band. So the band expands when the adaptive average becomes more variable and contracts when the average becomes quieter. This creates a context aware threshold that helps separate meaningful momentum movement from smaller background fluctuations. 7) Regular Band and Extreme Band float currentVelocity = amaObj.velocity float currentFilter = amaObj.filterBand float extremeBand = currentFilter * extMulti This block prepares the two signal thresholds used later. currentFilter is the normal band. extremeBand is a larger band created by multiplying the normal band by the user selected extreme multiplier. So the script supports two layers of selectivity: a regular threshold for Standard mode, and a deeper threshold for Extreme Reversal mode. 8) Raw Signal Logic bool rawBullSignal = sigMode == "Standard" ? ta.crossover(currentVelocity, -currentFilter) : ta.crossover(currentVelocity, -extremeBand) bool rawBearSignal = sigMode == "Standard" ? ta.crossunder(currentVelocity, currentFilter) : ta.crossunder(currentVelocity, extremeBand) This is the primary signal engine. In Standard mode: a bullish signal appears when velocity crosses upward through the negative regular filter level. a bearish signal appears when velocity crosses downward through the positive regular filter level. In Extreme Reversal mode: a bullish signal requires velocity to recover upward through the deeper negative extreme band. a bearish signal requires velocity to fall downward through the deeper positive extreme band. The important idea is that signals are not based on zero line crosses alone. They are based on velocity reentering from stretched territory. That makes the logic more reversal oriented than a simple trend flip model. 9) Optional Price Confirmation if reqPriceConf rawBullSignal := rawBullSignal and close > open rawBearSignal := rawBearSignal and close < open This block adds an extra candle structure filter. If price confirmation is enabled: bullish signals are only allowed when the bar closes above its open. bearish signals are only allowed when the bar closes below its open. This can help reduce signals that occur mathematically in the oscillator but do not have supportive price behavior on the actual candle. So the oscillator can be used either in pure indicator form or with a stricter candle aligned confirmation layer. 10) Cooldown Filter Logic method filterSignal(array arr, bool cond, int waitBars) => bool isValid = false if cond int lastSignalBar = arr.size() > 0 ? arr.get(0) : -waitBars - 1 if (bar_index - lastSignalBar) >= waitBars isValid := true arr.unshift(bar_index) if arr.size() > 2 arr.pop() isValid This method prevents signals from firing too frequently. When a new raw signal appears, the script looks at the most recent stored signal bar for that direction. If enough bars have passed since the previous signal, the new one is accepted. Otherwise it is ignored. The accepted signal bar index is then stored at the front of the array. Only a small recent history is kept. So this method acts as a timing gate that stops repetitive same side signals during choppy conditions. 11) Final Signal Construction var array lastBull = array.new() var array lastBear = array.new() bool finalBullSignal = lastBull.filterSignal(rawBullSignal, cooldown) bool finalBearSignal = lastBear.filterSignal(rawBearSignal, cooldown) This is where raw signals become final trade style signals. Bullish signals are passed through the bullish cooldown array. Bearish signals are passed through the bearish cooldown array. That means buy and sell signals are filtered independently. A recent bullish signal only blocks another bullish signal, and a recent bearish signal only blocks another bearish signal. So the script maintains clean directional spacing for both sides. 12) Histogram Coloring Logic color histColor = currentVelocity > currentFilter ? color.new(colorUp, 20) : currentVelocity < -currentFilter ? color.new(colorDn, 20) : currentVelocity > 0 ? color.new(colorUp, 70) : color.new(colorDn, 70) This block assigns visual meaning to oscillator strength. If velocity is above the upper regular filter, the histogram uses a stronger bullish color. If velocity is below the lower regular filter, it uses a stronger bearish color. If velocity is still positive but inside the filter region, it uses a softer bullish color. If velocity is negative but inside the filter region, it uses a softer bearish color. So the color logic tells the user both direction and intensity at the same time. 13) Drawing the Filter Bands plot(currentFilter, "Upper Filter Band", color=color.new(colorDn, 40), linewidth=1, style=plot.style_line) plot(-currentFilter, "Lower Filter Band", color=color.new(colorUp, 40), linewidth=1, style=plot.style_line) plot(extremeBand, "Upper Extreme Band", color=color.new(colorDn, 60), linewidth=1, style=plot.style_line, display=sigMode == "Extreme Reversal" ? display.all : display.none) plot(-extremeBand, "Lower Extreme Band", color=color.new(colorUp, 60), linewidth=1, style=plot.style_line, display=sigMode == "Extreme Reversal" ? display.all : display.none) These plots create the visual threshold system. The regular upper and lower filter bands are always shown. The wider extreme bands are shown only when Extreme Reversal mode is selected. This makes it easy to see whether current velocity is operating inside the neutral zone, beyond the regular band, or at deeper stretch levels. 14) Filling the Neutral Filter Region p_upper = plot(currentFilter, display=display.none) p_lower = plot(-currentFilter, display=display.none) fill(p_upper, p_lower, color=color.new(colorNeu, 95), title="Filter Band Fill") This block shades the area between the upper and lower regular filter bands. The filled zone visually represents the neutral or lower conviction region. When velocity remains inside this zone, momentum is more muted relative to recent adaptive average behavior. So the fill acts as a quick background cue for whether velocity is still inside normal fluctuation territory. 15) Plotting Velocity as Histogram and Line plot(currentVelocity, "AMA Velocity", color=histColor, style=plot.style_columns) plot(currentVelocity, "Velocity Line", color=histColor, linewidth=2) The same velocity value is drawn in two forms. The column plot gives a strong histogram style momentum read. The line plot overlays the same data as a smoother continuous path. Using both together makes the oscillator easier to read because the columns highlight amplitude while the line emphasizes turning points and transitions. 16) Signal Label Placement if finalBullSignal label.new(x=bar_index, y=math.min(0, currentVelocity) - math.abs(sigMode == "Extreme Reversal" ? extremeBand : currentFilter) - (math.abs(currentFilter) * 1.5), text="▲ BUY", color=color.new(color.white, 100), textcolor=colorUp, style=label.style_none, size=size.small) if finalBearSignal label.new(x=bar_index, y=math.max(0, currentVelocity) + math.abs(sigMode == "Extreme Reversal" ? extremeBand : currentFilter) + (math.abs(currentFilter) * 1.5), text="SELL ▼", color=color.new(color.white, 100), textcolor=colorDn, style=label.style_none, size=size.small) These blocks place the signal labels outside the oscillator body rather than directly on top of the bars. For bullish signals, the label is positioned below the relevant lower threshold area. For bearish signals, the label is positioned above the relevant upper threshold area. This helps keep the chart readable and visually separates the signal from the oscillator itself. 17) Alert Conditions alertcondition(finalBullSignal, "Buy Signal", "AMA Velocity Buy Signal") alertcondition(finalBearSignal, "Sell Signal", "AMA Velocity Sell Signal") bool posTrend = ta.crossover(currentVelocity, 0) bool negTrend = ta.crossunder(currentVelocity, 0) alertcondition(posTrend, "Positive Trend", "AMA Velocity crossed above zero") alertcondition(negTrend, "Negative Trend", "AMA Velocity crossed below zero") The script provides four alert types. The first two alert on final buy and sell signals after all filters and cooldown checks are applied. The second two alert when velocity crosses the zero line, which can be interpreted as broader momentum regime shifts. So the indicator supports both reversal style event monitoring and general trend transition monitoring.
Wskaźnik Pine Script®
od UAlgo
Confluence Buy/Sell [Sub-30min]A high-quality buy/sell signal indicator designed for intraday trading on timeframes under 30 minutes. Signals only fire when five conditions align simultaneously — EMA trend ribbon, RSI momentum, above-average volume, MACD crossover, and higher timeframe bias — filtering out low-quality setups and keeping you on the right side of the market. Each signal includes ATR-based stop loss and take profit levels plotted directly on the chart. Includes a live dashboard showing current trend, RSI, volume, and ATR at a glance. Compatible with any ticker.
Wskaźnik Pine Script®
od Hollens0828
Apex Momentum Wave [Pineify]Apex Momentum Wave The Apex Momentum Wave (AMW) is a noise-filtered momentum oscillator that combines Hull Moving Average price smoothing with RSI momentum measurement and an EMA-based signal line to produce cleaner, more actionable momentum readings. Instead of applying RSI directly to raw price — which often generates noisy, whipsaw-prone signals — AMW first smooths the close price through an HMA filter to strip out short-term market noise, then measures momentum on this cleaned data. The result is a responsive yet smooth oscillator that highlights genuine momentum shifts while suppressing false signals. Buy and sell markers are further refined by a midline filter that only triggers entries when momentum is turning from a favorable position, making this indicator a practical tool for timing entries across any market and timeframe. Key Features HMA-smoothed RSI oscillator — applies RSI to a Hull Moving Average of price rather than raw close, dramatically reducing noise and false momentum readings. EMA signal line with crossover detection — a trailing signal line provides clear, objective crossover-based entry triggers. Midline-filtered buy/sell signals — BUY signals only fire when momentum crosses up below the 50 midline (turning from weakness), and SELL signals only fire when crossing down above 50 (turning from strength), filtering out low-conviction entries. Multi-layer visual zone system — overbought/oversold zones, dynamic breach fills, and oscillator-signal cloud fills provide instant visual context of market momentum state. Built-in alert conditions — configurable alerts for both BUY and SELL signals for hands-free monitoring. How It Works The indicator follows a three-stage calculation pipeline designed to extract clean momentum information from price: Price smoothing via Hull Moving Average (HMA): The closing price is first passed through an HMA with a configurable period (default: 7). The Hull Moving Average uses a combination of weighted moving averages with a square-root-period final smoothing step, producing a curve that closely tracks price with significantly less lag than traditional SMA or EMA. This step acts as a pre-filter, removing intrabar noise and minor fluctuations before momentum is measured. Momentum measurement via RSI: The Relative Strength Index is then calculated on the HMA-smoothed price over a configurable lookback (default: 14). Because the input price has already been cleaned by the HMA, the resulting RSI oscillator produces smoother momentum readings that more accurately reflect the underlying trend's strength, rather than reacting to every minor price tick. Signal line via EMA: An Exponential Moving Average (default period: 9) is applied to the oscillator output, creating a trailing signal line. Crossovers between the oscillator and this signal line indicate momentum direction changes — the oscillator crossing above the signal suggests strengthening momentum, while crossing below suggests weakening momentum. Trading Ideas and Insights The AMW is designed to be versatile across different trading styles and market conditions. Here are practical approaches: Momentum reversal entries: The primary use case — when a BUY triangle appears (oscillator crosses above signal below the 50 midline), it indicates momentum is shifting from bearish to bullish while still in the lower half of the range, catching the turn early. Enter long and target the midline or overbought zone. The SELL signal is the mirror for short entries. Overbought/oversold confluence: When the oscillator enters the shaded overbought zone (above 80) or oversold zone (below 20), the market is at a momentum extreme. Wait for the oscillator to turn and cross below the signal line (in overbought) or above it (in oversold) for high-probability mean reversion trades. Trend confirmation: Use the cloud fill between the oscillator and signal line as a trend filter. A sustained bullish (green) cloud suggests maintaining long bias; a sustained bearish (red) cloud suggests maintaining short bias. Only take signals aligned with the prevailing cloud color for higher win rates. Divergence analysis: Compare the oscillator's peaks and troughs with price action. If price makes a higher high but the oscillator makes a lower high, bearish divergence suggests weakening momentum — and vice versa for bullish divergence. These divergences often precede significant reversals. How Multiple Indicators Work Together The AMW integrates three distinct technical components into a cohesive system, each serving a specific role: Hull Moving Average (noise reduction): The HMA serves as the foundation layer, transforming noisy raw price data into a clean input signal. Its near-zero-lag property is critical — if a lagging average like SMA were used instead, the subsequent RSI calculation would inherit that lag, making the entire oscillator slow to react. HMA preserves responsiveness while eliminating the noise that causes false RSI signals. Relative Strength Index (momentum quantification): RSI converts the smoothed price movement into a bounded 0–100 oscillator that measures the speed and magnitude of price changes. Applied to the HMA-filtered price, it produces a momentum reading that is both responsive and stable — capturing genuine momentum shifts without the jitter that plagues standard RSI on raw price. Exponential Moving Average signal line (timing mechanism): The EMA of the oscillator creates a reference line that the oscillator oscillates around. Crossovers between the two provide objective, rule-based entry timing. The EMA's inherent smoothing prevents the signal line from reacting to every minor oscillator fluctuation, ensuring crossovers represent meaningful momentum changes rather than noise. The synergy is sequential: HMA cleans the price → RSI measures momentum on clean data → EMA provides a timing reference for the momentum reading. Each layer builds on the previous one, and the midline filter on top adds a final directional bias check, ensuring the complete system produces signals only when multiple conditions align. Unique Aspects Pre-filtered RSI approach: Most oscillator indicators apply RSI (or similar) directly to raw price. AMW's innovation is the HMA pre-smoothing step, which fundamentally changes the quality of the RSI output. This two-stage approach produces a momentum oscillator that behaves more like a "true" momentum reading rather than a noisy derivative of price. Midline directional filter: Unlike simple crossover systems that generate signals anywhere in the oscillator range, AMW restricts BUY signals to the lower half (below 50) and SELL signals to the upper half (above 50). This ensures entries occur when momentum is turning from a relatively extreme position, significantly reducing false signals during choppy, range-bound conditions. Multi-layer visual feedback: The indicator provides four distinct visual layers — oscillator-signal cloud fill, horizontal zone lines, extreme zone background shading, and dynamic breach fills — giving traders an immediate, at-a-glance understanding of the current momentum state without needing to interpret raw numbers. Clean sub-panel design: As a non-overlay oscillator, AMW keeps the price chart uncluttered while providing all momentum information in a dedicated panel, making it easy to combine with overlay-based indicators like moving averages or support/resistance tools. How to Use Add the indicator to your chart. It will appear in a separate panel below the price chart, displaying the oscillator (thick line), signal line (orange), and reference levels. Watch for BUY triangles (green, at the bottom of the panel) — these appear when the oscillator crosses above the signal line while below the 50 midline, indicating a bullish momentum shift from a weak state. Watch for SELL triangles (red, at the top of the panel) — these appear when the oscillator crosses below the signal line while above the 50 midline, indicating a bearish momentum shift from a strong state. Use the cloud fill color between the oscillator and signal line to gauge the prevailing momentum direction — green for bullish, red for bearish. Monitor the overbought (80) and oversold (20) zones. When the oscillator enters these shaded areas and the breach fill activates, the market is at a momentum extreme — be alert for potential reversals. Set up alerts using the built-in "AMW Buy Signal" and "AMW Sell Signal" alert conditions to receive real-time notifications. Customization Momentum Length (default: 14): The RSI lookback period. Lower values (e.g., 8–10) make the oscillator more sensitive and responsive, suitable for scalping or lower timeframes. Higher values (e.g., 21–30) produce smoother, more stable readings for swing trading or higher timeframes. Price Smoothing / HMA (default: 7): Controls the Hull Moving Average period applied to price before RSI calculation. Lower values preserve more price detail but allow more noise through; higher values produce a cleaner oscillator but introduce slight additional lag. Find the balance that suits your timeframe. Signal Line Length (default: 9): The EMA period for the signal line. Shorter periods make the signal line more reactive, generating more frequent crossovers; longer periods produce fewer but potentially more reliable crossover signals. Overbought Level (default: 80): The upper threshold for the extreme zone. Raise to 85 or 90 for fewer but more extreme overbought readings; lower to 70 or 75 for earlier warnings. Oversold Level (default: 20): The lower threshold for the extreme zone. Lower to 10 or 15 for fewer but more extreme oversold readings; raise to 25 or 30 for earlier warnings. All colors — bullish, bearish, and signal line — are fully customizable through the Colors & Aesthetics settings group. Conclusion The Apex Momentum Wave reimagines the classic RSI oscillator by introducing an HMA pre-smoothing stage that fundamentally improves signal quality. Combined with an EMA signal line for objective crossover timing and a midline directional filter that restricts entries to favorable momentum positions, AMW delivers a momentum oscillator that is both cleaner and more actionable than standard RSI implementations. Its multi-layer visual design — featuring cloud fills, zone shading, and dynamic breach highlights — provides traders with immediate, intuitive momentum context. Whether you trade stocks, forex, crypto, or futures, the Apex Momentum Wave adapts to your market and timeframe, offering a refined approach to momentum-based trading decisions.
Wskaźnik Pine Script®
od Pineify
[NEXOUS_cl] Quantum Pulse Alpha - Lorentzian Probabilistic Engin📝 Description (Long Version) Unlock the power of Quantum Probability in your charts. The NEXOUS_cl Quantum Pulse Alpha is not just another lagging indicator. It is a high-performance trading engine designed to solve the biggest problem in technical analysis: Market Noise. By utilising a Lorentzian Distance Classification algorithm (a form of machine learning proximity analysis), this indicator calculates the "Quantum State" of the current price action relative to historical equilibrium. Instead of standard linear calculations, it analyses the non-linear curvature of price moves to identify high-probability reversal and continuation zones. 🧠 Core Technology Lorentzian Manifold Estimation: Estimates the "distance" of price from its natural mean using non-Euclidean geometry. Quantum Momentum Z-Score: A normalised oscillator that detects when the market is in a "superposition" (ready to break out) or "observed" (trend established). Dynamic Volatility Ribbon: Automatically adjusts sensitivity based on real-time market expansion and contraction. 📊 Technical Analysis (How it works) The engine works by mapping price points into a multidimensional space. When the Z-Score crosses the extreme thresholds (±1.5 to 2.0), it indicates that the current trend has reached a "Quantum Exhaustion" point. The Ribbon: Acts as a dynamic support/resistance zone. When the price is inside the ribbon, the market is in equilibrium. A break outside suggests a "Phase Shift" (Trend). Colour-Coded Candles: * Aqua/Blue: Strong Quantum Bullish Momentum. Magenta/Red: Strong Quantum Bearish Momentum. Zero-Lag Filtering: The algorithm uses an EMA-based entropy filter to ensure signals appear as close to the pivot point as possible. 📖 User Guide (How to Trade) 🟢 Buying (Long) Look for the Q-BUY triangle (Aqua). Confirmed when the candle turns Aqua and price stays above the Quantum Ribbon. Optimal Entry: When the Z-Score crosses above the -1.5 level from below. 🔴 Selling (Short) Look for the Q-SELL triangle (Magenta). Confirmed when the candle turns magenta, and the price stays below the Quantum Ribbon. Optimal Entry: When the Z-Score crosses below the +1.5 level from above. 🛑 Stop Loss & Take Profit Stop Loss: Place above/below the nearest Quantum Ribbon boundary. Take Profit: Aim for a 1:2 risk-to-reward ratio or wait for the candle colour to neutralise (fade to dark blue/red). ⚙️ Suggested Settings (Inputs) Quantum Lookback: 14 (For Scalping) | 24 (For Day Trading) Sensitivity: 2.0 (Standard) | 1.6 (High Frequency)
Wskaźnik Pine Script®
od NEXOUS_cl
1
CVD v2 (Cumulative Volume Delta) + Divergences 🇬🇧 ENGLISH EGU • CVD v2 (Cumulative Volume Delta + Divergences) The CVD (Cumulative Volume Delta) is an advanced volume indicator that measures in real time the battle between buyers and sellers, bar by bar, by accumulating the volume delta over a defined period. Unlike classic momentum indicators such as RSI which only analyze price, the CVD analyzes who is truly pushing the market — buyers or sellers — by weighting volume according to the close position within each candle. Features : Bar-by-bar delta histogram (instant buying/selling pressure) Cumulative CVD line with dynamic color based on trend direction Adjustable CVD EMA to smooth the signal Automatic detection of bullish and bearish divergences with line drawing Built-in alerts on divergences and zero-line crossovers Configurable reset : Never / Weekly / Monthly Real-time information table (CVD state, trend, current bar delta) Background coloring based on positive/negative CVD zone How to use it : Use CVD divergences in confluence with your Supply & Demand zones to confirm momentum exhaustion before entering a trade Combine with the RSI : a divergence on both indicators simultaneously is a very strong signal The zero-line crossover signals a shift in dominance between buyers and sellers Choose your reset according to your trading style : Weekly for short swing trades (3–14 days), Monthly for longer positions Recommended settings : Short swing trading (few days) → Weekly reset, EMA 21 Medium swing trading (2–4 weeks) → Monthly reset, EMA 21 Script created by EGU
Wskaźnik Pine Script®
od IZO_X
Squeeze Impulse OscillatorSqueeze Impulse Oscillator (SIO) Indicator Description The Squeeze Impulse Oscillator is designed to detect moments when the market exits a consolidation phase (squeeze) and forms a strong impulsive move. The indicator analyzes candlestick patterns, the ratio of the body to the range, wick lengths, and price dynamics to assess the strength of the current trend and potential breakout from consolidation. The core idea is to compare two components: Impulse – shows how strong the price movement is, based on the body size relative to the range and the persistence of direction (consecutive bars in the same direction). Squeeze – reflects the degree of market tightness, evaluated by wick length and range contraction. Longer wicks and narrower ranges indicate higher energy accumulation for a subsequent impulse. The resulting SIO value = impulse − squeeze. Positive values indicate a dominance of the impulse component, negative values point to a squeeze phase. Additional threshold levels help identify confident impulse zones and extreme squeeze zones. How It Works Candle Evaluation Relative body size (bodyEff) – ratio of the candle body to its full range. Larger body means stronger impulse. Wick ratio (wickRatio) – total wick length relative to the range. Long wicks indicate indecision or accumulation. Current range compared to its average (rangeRatio) – helps incorporate volatility. Price Dynamics Persistence factor (persist) equals 1 if the last two price changes are in the same direction, otherwise 0. Component Calculation impulseScore = bodyEff × rangeRatio × (0.5 + 0.5 × persist) squeezeScore = wickRatio × (2.0 − rangeRatio) × (1.0 − persist × 0.5) Oscillator rawSIO = impulseScore − squeezeScore Final sio value is smoothed with an exponential moving average (EMA) using the specified smoothing period. Squeeze Counter When sio drops below the squeeze threshold (i_sqzTh), a consecutive bar count begins. The counter resets when sio rises above zero. Additional Line Averaged wick bias (avgWickBias) is displayed, showing which side has longer wicks (positive → bullish bias, negative → bearish bias). Used for signal filtering. Signals The indicator generates three types of signals (enabled via Show Signals parameter): Bull Impulse – green triangle at the bottom. Conditions: sio crosses above the impulse threshold (i_impTh); preceded by at least the minimum number of squeeze bars (Min Squeeze Bars); wick bias positive (avgWickBias > 0). Interpretation: after a prolonged squeeze phase, price starts moving up, confirmed by bullish candle structure. Bear Impulse – red triangle at the bottom. Same conditions but wick bias ≤ 0. Interpretation: expected downward move after a squeeze. Squeeze Start – purple diamond at the top. Occurs when sio crosses below the squeeze threshold. Warns of possible energy accumulation and an upcoming impulse. Visual Elements SIO Histogram – colored according to the state: bright green/red (depending on candle direction) – above impulse threshold; purple – below squeeze threshold; gray – neutral zone. Wick Bias Line (yellow) – scaled for better visibility. Squeeze Counter – purple step line showing consecutive bars in squeeze. Background Highlight – squeeze zones are marked with a semi‑transparent purple background. Horizontal Levels: impulse threshold, zero line, squeeze threshold. Input Parameters Core Period – period for average range calculation and wick bias moving average. Smoothing – EMA smoothing of the final SIO value. Impulse Threshold – level above which the value is considered impulsive. Squeeze Threshold – level below which the value is considered a squeeze. Signals Show Signals – enable/disable signal plotting. Min Squeeze Bars – minimum number of consecutive squeeze bars required for an impulse signal. Highlight Squeeze Zones – enable/disable background highlighting. Colors – custom colors for all visual elements. Usage The indicator helps identify entry points after consolidation phases. Buy/sell signals should be considered only with confirming factors: higher‑timeframe trend, volume, support/resistance levels. False signals may occur in low‑volatility markets or during news events. It is recommended to backtest and adapt thresholds for the specific instrument. Disclaimer This indicator is not financial advice. All calculations are based on historical data and do not guarantee future results. Use it as one of many analytical tools in combination with other methods.
Wskaźnik Pine Script®
od Smart-Day-Trader
Relative Strength vs S&P 500 v2 Relative Strength vs S&P 500 v2 This indicator measures the relative strength of any asset against the S&P 500 in real time. It instantly shows whether an asset is outperforming or underperforming the US benchmark, with clear visual signals and built-in alerts. Designed for two main use cases : momentum investing (buy what beats the market) and directional trading with leveraged products (Turbos, CFDs, options). Features : RS line normalized to 100 with dynamic fill (blue = outperformance, red = underperformance) Adjustable smoothing : EMA / SMA / WMA / RMA Bollinger Bands applied directly on the RS to detect extreme outperformance zones RS Momentum histogram showing the speed of relative strength change Automatic divergence detection (RS vs Price) with line drawing Alerts on baseline crossovers, slope changes, BB extreme zones, and divergences Real-time info table (state, trend, BB zone, RS value) Compatible with SPX and SPY fallback if SPX is unavailable on your broker How to use it : Momentum investing : Scan multiple assets and select those with RS above 100, sloping upward, and not touching the upper BB. Assets that outperform today statistically tend to continue outperforming. Exit when RS crosses below the baseline. Trading with Turbos / leveraged products : Use baseline crossovers and RS divergences as directional confirmation before entering. A bullish RS divergence on a support zone means the asset is holding better than the market — strong signal for a long position. Avoid going long when RS is touching the upper BB (excessive outperformance, mean reversion risk). Confluence with other tools : Combine this RS indicator with your Supply & Demand zones, monthly/yearly VWAP, and CVD for maximum confluence. A bullish RS divergence + bullish CVD divergence on a demand zone is one of the strongest setups available. Recommended settings : Momentum investing → 200-bar normalization, EMA 20, no reset Swing trading / Turbos → 100-bar normalization, EMA 20 Short-term trading → 50-bar normalization, EMA 10 Script created by IZO
Wskaźnik Pine Script®
od IZO_X
SuperTrend Pro + EMA + RSI + Trailing Stop//@version=5 indicator("SuperTrend Pro + EMA + RSI + Trailing Stop", overlay=true, max_labels_count=500) // ======================= // INPUT PARAMETERS // ======================= // SuperTrend Inputs factor = input.float(3.0, "Main Factor (Buy & Plot)", minval=0.01, step=0.01) sellFactor = input.float(2.4, "Sell Factor (Early Warning)", minval=0.01, step=0.01) atrLen = input.int(10, "ATR Length", minval=1) // Volume Inputs volLen = input.int(20, "Vol Avg Length") volMult = input.float(1.5, "Vol Multiplier") // New Safety Filter Inputs (EMA & RSI) emaLen = input.int(200, "EMA Filter Length") rsiLen = input.int(14, "RSI Length") rsiMax = input.float(65.0, "RSI Max for Buy (Avoid overbought)") // Trailing Stop Input trailPct = input.float(2.0, "Trailing Stop %", minval=0.1, step=0.1) // ======================= // CALCULATIONS // ======================= = ta.supertrend(factor, atrLen) = ta.supertrend(sellFactor, atrLen) avgVol = ta.sma(volume, volLen) ema200 = ta.ema(close, emaLen) rsiVal = ta.rsi(close, rsiLen) // ======================= // CONDITIONS & LOGIC // ======================= // 1. Is Volume high? volCondition = (volume > (avgVol * volMult)) // 2. Are we in a macro Bull Trend? (Price above 200 EMA) emaBullCondition = (close > ema200) // 3. Is there still room to grow? (RSI not overbought) rsiCondition = (rsiVal < rsiMax) // Buy Signal Logic: Supertrend turns Green + High Vol + Above EMA + Under RSI rawBuy = (dir == -1) and (dir == 1) buySignal = rawBuy and volCondition and emaBullCondition and rsiCondition // ======================= // TRAILING STOP STATE // ======================= var float trailStop = na var bool inTrade = false var bool sellSignal = false sellSignal := false // Reset sell signal every bar // Enter a trade if we get a buy signal if buySignal and not inTrade inTrade := true trailStop := close * (1 - (trailPct / 100)) // If we are currently in a trade, manage the Stop Loss or Early Sell if inTrade // Move the trailing stop UP if the price increases, but NEVER down trailStop := math.max(trailStop, close * (1 - (trailPct / 100))) // Condition A: Did we hit the Trailing Stop Loss? hitStop = (close < trailStop) // Condition B: Did the early SuperTrend flip Red with High Volume? rawSell = (dirSell == 1) and (dirSell == -1) earlySell = rawSell and volCondition // If either scenario happens, SELL and exit the trade if hitStop or earlySell inTrade := false trailStop := na sellSignal := true // ======================= // PLOTTING // ======================= // Plot the main SuperTrend Line plot(st, "Main SuperTrend", color = dir == -1 ? color.green : color.red, linewidth=2) // Plot the 200 EMA Line plot(ema200, "200 EMA", color=color.blue, linewidth=2, title="200 EMA") // Plot the Trailing Stop Line (only shows up when we are secretly 'in a trade') plot(inTrade ? trailStop : na, "Trailing Stop", color=color.orange, style=plot.style_cross, linewidth=2) // Plot Buy & Sell Arrows plotshape(buySignal, title="BUY", location=location.belowbar, color=color.lime, style=shape.triangleup, size=size.large, text="BUY") plotshape(sellSignal, title="SELL", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.large, text="SELL") // ======================= // ALERTS // ======================= alertcondition(buySignal, "Pro Buy Signal", "BUY! High Vol, Bullish EMA, Good RSI.") alertcondition(sellSignal, "Pro Sell Signal", "SELL! Trailing Stop or Indicator flip triggered.")
Wskaźnik Pine Script®
od eldawi85
MACD + RSI Combo (Stacked)MACD + RSI Combo (Stacked) This indicator combines MACD and RSI into a single stacked panel to help traders save indicator slots while keeping momentum and divergence tools visible at the same time. The MACD is displayed on the upper section to track momentum shifts, while the RSI sits below it to identify overbought/oversold conditions and divergence. Features: MACD (12, 26, 9) with histogram RSI (14) calculated using HLCC4 Lime green RSI line for easy visibility Color-changing MACD histogram to highlight momentum shifts Clean stacked layout for better chart organization Designed for traders who rely on momentum confirmation and RSI divergence while keeping their charts minimal.
Wskaźnik Pine Script®
od Kingbask3tt
BTC Multi-TF Ringing StrategyPrimary Impulse TF: 1H Detect large step-response impulses. Entry TF: 3-min Look for micro pullbacks against the impulse for precise entries. Trend Filter: 4H EMA slope Ensures alignment with major trend. ATR-Adaptive Targets & Stops Partial profit 30% at 5% gain Remaining position rides decaying multi-swing targets scaled by volatility Dynamic Filter for Oscillation Shape Only take impulses where the oscillation amplitude > min threshold Rejects weak/noisy impulses to maintain win rate Entries Per Impulse: Up to 4 More entries during valid step-response swings
Strategia Pine Script®
od PenniesInTheSnow2022
MACD Signal (Acht)Script Description: MACD Signal This script is a modified version of the classic MACD (Moving Average Convergence Divergence) indicator. Custom conditions have been added to generate more precise buy (long) and sell (short) signals using the EMA9, EMA20, and EMA200 moving averages. Main Components of the Indicator: MACD line (fast EMA12 – slow EMA26) Signal line (EMA9 of MACD) MACD histogram (difference between MACD and signal line), colored in standard shades: green shades when the histogram is positive, red shades when negative. Zero line (horizontal line at 0). Additional Calculations: EMA9, EMA20, EMA200 based on the closing price (close). The periods of these moving averages can be adjusted in the input parameters. Signal Conditions: Long Signal (buy) – green vertical line: Closing price above EMA200 (global uptrend). EMA9 crosses above EMA20 (crossover) – entry point. On the previous bar, the MACD lines (macd and signal) were below zero – confirmation that the indicator is emerging from the "bearish" zone. Short Signal (sell) – red vertical line: Closing price below EMA200 (global downtrend). EMA9 crosses below EMA20 (crossunder) – entry point. On the previous bar, the MACD lines (macd and signal) were above zero – confirmation that the indicator is emerging from the "bullish" zone. Signal Visualization: When conditions are met on the current bar, a vertical line is drawn, spanning from the minimum to the maximum MACD value over the last 100 bars. This makes the signal clearly visible across the entire height of the indicator. Line color: green for long, red for short. Line width is 2. Lines older than 200 bars are automatically deleted to prevent chart clutter. Input Parameters (adjustable): Source – data source for MACD (default: close). Fast length – period of the fast EMA (default: 12). Slow length – period of the slow EMA (default: 26). Signal length – period of the signal line (default: 9). Oscillator MA type / Signal MA type – types of moving averages for MACD and signal (EMA or SMA). EMA 9 length, EMA 20 length, EMA 200 length – periods of the additional EMAs for entry conditions (default: 9, 20, 200). Built-in Alert Conditions: Rising to falling – triggers when the histogram transitions from positive to negative (green → red). Falling to rising – triggers when the histogram transitions from negative to positive (red → green). Notes: All EMA9/EMA20 crossovers are calculated globally on each bar, eliminating compilation errors and ensuring correct indicator operation. Signals do not repaint, as they use only current and previous values. The code fully complies with Pine Script v6 and contains no errors. This indicator helps identify entry points in the direction of the global trend (determined by EMA200) with confirmation from the MACD, enhancing signal reliability.
Wskaźnik Pine Script®
od acht1880
Momentum Trend Sentinel NEXOUS_cl"This professional-grade indicator is designed for high-precision trend following and reversal detection. It combines Adaptive Volatility Bands with a Momentum Breakout engine to provide non-repainting entry signals from the very first candle of a trend shift. Technical Features: Instant Signal Execution: Signals trigger at the close of the breakout candle to ensure 100% trend capture. Volatility-Based SL/TP: Uses ATR (Average True Range) to calculate dynamic Stop Loss and Take Profit zones, visualised as professional trend boxes. User Guide) Long Entry: Wait for the green "BUY" signal. Stop Loss is automatically placed at the bottom of the green box. Short Entry: Wait for the red "SELL" signal. Stop Loss is placed at the top of the red box. Exit: Close the position when the price touches the "TP" level or when a countertrend signal appears.
Wskaźnik Pine Script®
od NEXOUS_cl
NC-ALPHA TP/SL VisualAlphaTrend TP/SL Indicator This indicator is based on the AlphaTrend algorithm and is designed to identify potential trend reversals and continuation signals. It combines volatility (ATR) with momentum indicators (MFI or RSI when volume data is unavailable) to calculate a dynamic trend line. When the AlphaTrend line crosses above its previous value, a BUY signal is generated. When it crosses below, a SELL signal appears. After each signal, the indicator automatically calculates Entry, Stop Loss, and three Take Profit levels (TP1, TP2, TP3) using ATR-based risk management. These levels are displayed directly on the chart with clear labels and price values, allowing traders to quickly see potential trade setups and risk-reward zones. Features: AlphaTrend trend detection Automatic BUY / SELL signals ATR-based Stop Loss and Take Profit levels Entry, SL, TP1, TP2, TP3 displayed on the chart Webhook-ready alerts for automation and signal delivery This tool can be used for scalping, intraday trading, and trend-following strategies across different markets such as forex, gold, indices, and cryptocurrencies.
Wskaźnik Pine Script®
od teknikvetemelanaliz
QQE Momentum Pulse Pro [identityKa]Overview The QQE Momentum Pulse Pro is a highly responsive sub-chart oscillator designed to measure the velocity and magnitude of directional price movements. Traditional Quantitative Qualitative Estimation (QQE) indicators suffer from severe signal lag due to triple-layered EMA smoothing. This script addresses that core flaw by introducing an optional "Zero-Lag Engine," swapping the standard exponential smoothing for a dynamic Hull Moving Average (HMA), effectively eliminating lag while preserving the indicator's mathematical robustness. Underlying Mathematics & Enhancements The foundation of the engine is built upon the Relative Strength Index (RSI). Volatility Trailing Bands: The script calculates the Absolute True Range of the smoothed RSI, which is then further smoothed using Wilder's methodologies. This creates dynamic fast and slow trailing bands that track the momentum. The Pulse Histogram: Instead of plotting multiple confusing lines on the chart, this script calculates the exact mathematical difference (spread) between the smoothed RSI and the dynamic trailing band. This spread is plotted as a zero-line oscillating histogram. Four-Color State Logic: The histogram's color intensity provides instant visual feedback regarding momentum acceleration. Bright Neon Green indicates rising positive momentum (acceleration), whereas Dark Green indicates positive but decaying momentum (deceleration). The same logic applies inversely for bearish trends with Bright/Dark Red. HUD Dashboard & AI Logic To prevent traders from getting trapped in exhausting trends, the integrated on-chart panel translates the histogram's state into a mechanical directive: LONG: Triggered when the histogram is positive (above the zero line) and its value is strictly greater than the previous bar (actively growing). SHORT: Triggered when the histogram is negative (below the zero line) and its value is strictly less than the previous bar (actively deepening). Dangerous: This is the crucial risk-management state. It is triggered the exact moment the histogram shifts from bright to dark colors. It indicates a mathematical divergence where the macro trend may still exist, but the immediate momentum driving it is rapidly fading. How to Use It This tool is best paired with a main-chart trend indicator (like a SuperTrend or Moving Average crossover). Traders should look to execute LONG or SHORT entries when the Pulse Histogram crosses the zero line and the AI Suggestion aligns with their directional bias. If the AI Suggestion switches to "Dangerous", traders should consider scaling out of active positions, tightening stop-losses, or avoiding taking new trend-continuation entries, as a pullback or consolidation phase is statistically imminent.
Wskaźnik Pine Script®
od IdentityKa
Advanced Volatility Squeeze Pro v2 [identityKa]Overview The Advanced Volatility Squeeze Pro v2 is a comprehensive breakout and momentum oscillator. It is designed to identify periods of market consolidation (volatility compression) and mathematically anticipate the direction of the ensuing breakout. This script improves upon traditional squeeze models by replacing the often-lagging linear regression momentum with a highly responsive dual-EMA momentum engine. Core Mathematical Concepts This indicator relies on the mathematical relationship between two distinct volatility envelopes: Bollinger Bands (Standard Deviation): Calculates the standard deviation of price around a Simple Moving Average (default length 20, multiplier 2.0). These bands expand and contract rapidly based on immediate price variance. Keltner Channels (True Range): Calculates an envelope based on the Simple Moving Average of the True Range (default multiplier 1.5). These bands are less sensitive to sudden spikes and represent the baseline volatility. The Squeeze Logic (Dots) The script continuously compares the width of the Bollinger Bands to the Keltner Channels: Squeeze ON (Red Dots): Triggered when the Bollinger Bands completely contract inside the Keltner Channels. This signifies a severe drop in volatility. The market is consolidating, building energy for a future move. Squeeze OFF (Gray Dots): Triggered when the Bollinger Bands expand back outside the Keltner Channels. This mathematical event is known as the squeeze "firing," indicating a release of volatility and the start of a new directional trend. The Momentum Engine (Histogram) To determine the direction of the breakout, the script calculates the spread between a Fast EMA (default 8) and a Slow EMA (default 21). The histogram plots this exact difference. A rising positive histogram (Bright Green) indicates accelerating bullish momentum, while a falling negative histogram (Bright Red) indicates accelerating bearish momentum. HUD Dashboard & AI Logic The on-chart panel aggregates these calculations into an actionable state: Dangerous: Displayed whenever the Squeeze is "ON". This warns traders that the market is range-bound and breakout direction is mathematically uncertain. LONG: Triggered when the Squeeze fires (OFF), the momentum is positive (Fast EMA > Slow EMA), and the momentum value is actively rising compared to the previous bar. SHORT: Triggered when the Squeeze fires (OFF), the momentum is negative, and actively falling. How to Use It Traders should avoid entering trend-continuation setups while the red dots (Squeeze ON) are present. The optimal setup occurs when a red dot transitions to a gray dot (Squeeze fires) in confluence with the AI Suggestion outputting a clear "LONG" or "SHORT" signal, allowing the trader to capture the explosive expansion in volatility.
Wskaźnik Pine Script®
od IdentityKa
Advanced Momentum Engine [identityKa]Overview The Advanced Momentum Engine is a technical oscillator designed to consolidate trend direction and momentum exhaustion into a single visual pane. By mathematically integrating Moving Average Convergence Divergence (MACD) with the Relative Strength Index (RSI), this script aims to reduce chart clutter and provide a strict, rule-based approach to confluence analysis. Instead of monitoring MACD crossovers and RSI extreme levels in separate windows, this indicator unifies them. The MACD dictates the base histogram color representing the trend, while the RSI dictates specific color overrides when momentum reaches mathematical extremes. Core Calculations & Logic The engine operates on two primary technical formulas: MACD Component: It utilizes the standard MACD calculation (Fast EMA 12, Slow EMA 26, Signal 9 by default). The histogram plots the spread between the MACD line and the Signal line. RSI Component: A standard RSI (default length 14) is calculated simultaneously in the background to measure the speed and change of price movements. Dynamic Visualization Features The histogram colors are not static; they adapt dynamically based on the relationship between these two components: Trend Phases: When the RSI is in a neutral state (between 30 and 70), the histogram reflects standard MACD momentum. Increasing positive spreads plot as Strong Bullish (Bright Green), decreasing positive spreads as Weak Bullish (Dark Green). The inverse applies to Bearish states (Bright Red / Dark Red). The Danger Zone Override: If the background RSI calculation breaches the user-defined Overbought (≥70) or Oversold (≤30) thresholds, the script triggers an override. The histogram and background explicitly turn Orange. This mathematical condition indicates that while the MACD trend may still be active, the RSI momentum is statistically exhausted. HUD Dashboard & AI Suggestion To simplify real-time data interpretation, the script includes an on-chart panel (HUD) that evaluates the current bar's state and outputs a logical suggestion: LONG: Triggered when MACD > Signal AND RSI is strictly neutral (< 70). SHORT: Triggered when MACD < Signal AND RSI is strictly neutral (> 30). Dangerous: Triggered whenever RSI ≥ 70 OR RSI ≤ 30. How to Use It Traders can use this script to filter their entries and manage risk. A standard approach is to look for trend-following entries only when the dashboard indicates a "LONG" or "SHORT" state. Conversely, when the histogram and dashboard turn to the Orange "Danger Zone," it serves as a mechanical rule to avoid new trend-continuation entries and consider tightening stop-losses, as mean reversion is statistically more probable. All moving average lengths, RSI thresholds, and color themes are fully adjustable in the settings.
Wskaźnik Pine Script®
od IdentityKa
S5 OscillatorThe S5 Oscillator measures structural momentum by tracking how fast price deviates from a weighted composite of historical averages across multiple lookback depths. Unlike standard oscillators that compare price to a single moving average, S5 decomposes momentum into three independent deviation components — short-term drift, long-term displacement, and tail divergence — then combines them into a single reading. Values above zero indicate bullish momentum, below zero bearish, with the ±10 levels marking overbought and oversold extremes. An integrated signal line highlights momentum shifts through crossovers, with filtered cross dots appearing only in high-value zones to reduce noise. Designed for clarity — no clutter, no repaint, works on any market and any timeframe.
Wskaźnik Pine Script®
od evangvlg
Aura Mean Reversion Envelopes [Pineify]Aura Mean Reversion Envelopes The Aura Mean Reversion Envelopes is a volatility-adaptive envelope indicator designed to identify high-probability mean reversion trade setups. It combines a Hull Moving Average (HMA) baseline with ATR-based dynamic envelopes to detect when price has reached statistically extreme levels and is likely to revert back toward its fair value. Unlike static channel indicators, this tool continuously adapts its bands to current market volatility, making it effective across different instruments and timeframes. Key Features Hull Moving Average (HMA) as the central mean — provides a smooth, low-lag baseline that closely tracks the "fair value" of price. ATR-based dynamic envelopes — four bands (inner and outer, upper and lower) that automatically expand and contract with market volatility. Wick rejection reversal signals — BUY and SELL markers triggered only when price pierces the exhaustion zone but closes back inside with a confirming candlestick pattern. Visual cloud zones — color-filled regions between bands clearly delineate overbought, oversold, and neutral mean-reversion corridors. Extreme candle coloring — optional bar coloring highlights candles closing beyond the inner bands for at-a-glance identification of stretched price action. Built-in alert conditions — configurable alerts for both bullish and bearish reversal signals so you never miss a setup. How It Works The indicator is built on the principle of mean reversion — the statistical tendency for price to return to its average after moving to an extreme. The core calculation pipeline is: A Hull Moving Average (HMA) of the closing price over a user-defined period (default: 34) is computed. HMA was chosen over SMA or EMA because it dramatically reduces lag while maintaining smoothness, giving a more accurate representation of the current mean. Market volatility is measured using the Average True Range (ATR) over a separate lookback period (default: 21). ATR captures the true range of each bar — including gaps — providing a robust, adaptive volatility metric. Four envelope bands are constructed symmetrically around the HMA baseline by adding and subtracting ATR multiplied by two configurable multipliers: an inner multiplier (default: 1.618, the golden ratio) and an outer multiplier (default: 3.0). The inner bands define the boundary of normal price oscillation, while the outer bands mark exhaustion zones where price has deviated significantly. Reversal signals are generated using a wick rejection pattern: a bullish signal fires when the bar's low pierces below the lower outer band, but the candle closes bullishly (close > open) and above the outer band. This pattern indicates that sellers pushed price to an extreme but were overwhelmed by buyers. The bearish signal uses the mirror logic on the upper side. Trading Ideas and Insights Mean reversion strategies work best in ranging and oscillating markets. Here are some practical ways to use this indicator: Fade the extremes: When a BUY or SELL signal appears at the outer exhaustion band, consider entering a position targeting the central HMA mean line as your take-profit level. The mean line acts as a natural magnet for price. Use the inner bands as a filter: If price is between the inner bands and the mean, the market is in "normal" territory — avoid counter-trend entries. Wait for price to reach the outer bands before looking for reversal setups. Combine with trend context: On higher timeframes, determine the dominant trend direction. Then on your trading timeframe, only take signals that align with the higher-timeframe trend (e.g., only BUY signals in an uptrend) for higher win rates. Watch for candle coloring clusters: Multiple consecutive colored candles beyond the inner band suggest sustained momentum — a reversal signal after such a cluster can be particularly powerful. How Multiple Indicators Work Together This indicator integrates two distinct technical concepts into a unified framework: Hull Moving Average (trend/mean tracking) — The HMA serves as the anchor point, representing the current equilibrium price. Its low-lag property ensures the mean line stays close to actual price action rather than trailing behind, which is critical for accurate envelope placement. Average True Range (volatility measurement) — ATR dynamically sizes the envelope bands. During high-volatility periods, the bands widen to avoid false signals; during low-volatility periods, they tighten to capture smaller but still meaningful deviations. The synergy between these two components is what makes the indicator adaptive: the HMA tracks where price should be, while the ATR determines how far is too far. Together, they create a self-adjusting framework that does not require manual recalibration across different market conditions. The reversal signal logic adds a third layer — candlestick pattern confirmation — by requiring a wick rejection at the outer band. This prevents signals from firing during strong breakouts where price legitimately moves beyond the envelope. Unique Aspects HMA over EMA/SMA: Most envelope indicators use simple or exponential moving averages, which introduce significant lag. The Hull Moving Average virtually eliminates this lag, resulting in more accurately centered envelopes. Dual-layer envelope design: The inner and outer band structure creates distinct zones (normal, extended, exhaustion) rather than a single binary overbought/oversold threshold, giving traders more nuanced context. Golden ratio default: The inner band multiplier defaults to 1.618 (the Fibonacci golden ratio), a mathematically significant threshold that aligns with natural price clustering behavior observed across many markets. Wick rejection confirmation: Signals require both a pierce beyond the outer band AND a confirming close back inside with a bullish/bearish candle body, filtering out many false signals that plague simpler band-touch systems. How to Use Apply the indicator to your chart. It overlays directly on the price chart with the HMA mean line, four envelope bands, and color-filled zones. Watch for BUY triangles below bars at the lower outer band and SELL triangles above bars at the upper outer band. These are the primary reversal signals. Use the colored candles as an early warning — when candles start coloring, price is in the extended zone and approaching potential reversal territory. Set alerts via the built-in alert conditions ("Bullish Mean Reversion" and "Bearish Mean Reversion") to receive notifications when signals fire. Target the central HMA mean line for take-profit on reversal trades, or use the inner band on the opposite side for more aggressive targets. Customization Mean Tracking Period (default: 34): Controls the HMA lookback. Lower values make the mean more responsive to recent price; higher values produce a smoother, slower-moving baseline. Adjust based on your trading timeframe. Volatility (ATR) Period (default: 21): Controls the ATR lookback for band sizing. Shorter periods make bands more reactive to recent volatility spikes; longer periods smooth out the band width. Inner Band Multiplier (default: 1.618): Defines the boundary between normal and extended price zones. Increase for wider normal zones (fewer colored candles); decrease for tighter zones. Outer Band Multiplier (default: 3.0): Defines the exhaustion zone threshold. Higher values produce fewer but more extreme signals; lower values generate more frequent signals. Color Candles at Extremes: Toggle on/off the candle coloring feature for candles closing beyond the inner bands. All colors (bullish, bearish, mean line) are fully customizable via the Aesthetics & Colors settings group. Conclusion The Aura Mean Reversion Envelopes combines the precision of the Hull Moving Average with ATR-adaptive volatility bands and candlestick-confirmed reversal signals to create a comprehensive mean reversion trading tool. Its dual-layer envelope design provides clear visual zones for identifying when price is normal, extended, or at exhaustion — helping traders time entries at statistically favorable levels where price is most likely to revert toward its mean. Whether you trade forex, crypto, stocks, or futures, this indicator adapts to your market's volatility and provides actionable signals with built-in confirmation logic.
Wskaźnik Pine Script®
od Pineify
Mean Reversion: BB + Stoch + ADX (Short Only)Strategy overview This strategy is a specialized tool for changing the average price, designed exclusively for short positions. It determines the overbought conditions in a non-trending market, allowing you to "smooth out" price extremes with high accuracy. How it works (logic): The script uses a triple confirmation filter to ensure high quality inputs: Bollinger Bands: defines price extremes. We are looking for when the price will cross the upper band. Stochastic Oscillator: Confirms that the asset is technically overbought (value > 80). ADX (Average Directivity Index): "The secret tool." It acts as a trend filter. The strategy only works if the ADX is below a certain threshold (default is 25), which ensures that we will not try to open short positions in case of a strong bullish breakout. Exit strategy: Risk management is automated using ATR (Average True Range). Stop Loss: Set above the entry price based on the current volatility. Take profit: Calculated as a multiple of the ATR value to record a return to the average value. Key functions: For short positions only: Optimized for bearish corrections and limited range markets. Trend protection: The ADX filter prevents "catching a falling knife" during strong rises. Visual feedback: The background turns green when the market is "flat" enough to trade, and red when the trend is too strong. It is best to use on: Time frame: 10 minutes, 15 minutes Assets: Crypto
Strategia Pine Script®
od Volatryx