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Realized vs Longer-Realized Vol GapShort-window realized volatility versus long-window realized volatility, and the gap between them, as a proxy for volatility expansion and compression when true implied volatility is unavailable on the symbol. It does NOT generate buy or sell signals. What it shows - Short-window and long-window annualised realized volatility - The gap and the gap as a percent of the long baseline Honest by design - No buy/sell signals. This is honestly an RV-vs-RV proxy, not true implied volatility; set the annualisation factor to sqrt(periods per year) for your timeframe. - Non-repainting: rolling standard deviations on confirmed bars. Open-source and MIT licensed. Disclaimer: impersonal educational and analytics tool. This is not investment advice, not a personalised recommendation, and carries no performance guarantee. Past results do not predict future results. You are solely responsible for your own trading decisions.
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của outofsamplelab
Risk Co-Pilot | Position Sizing & Volatility RiskA position-sizing and volatility-risk tool. You enter your account size and risk percent per trade; it computes how much to risk and how large a position that implies, plus a volatility state light. It does NOT generate buy or sell signals. What it shows - Risk $ for your chosen account size and risk percent - ATR-based stop distance and the resulting long/short stop levels - Position size in units so that hitting the stop loses exactly your chosen risk percent - Volatility risk state (Normal / Elevated / Caution) from the ATR percentile, a reminder to size down when volatility is high Honest by design - No buy/sell signals, no auto-execution. It sizes risk; you decide and execute. - Non-repainting: every value is a function of confirmed bars. - The position size assumes a 1:1 price-to-PnL instrument. Adjust for pip value (forex) or point value (futures). Open-source and MIT licensed. Disclaimer: impersonal educational and risk tool. This is not investment advice, not a personalised recommendation, and carries no performance guarantee. Past results do not predict future results. You are solely responsible for your own trading decisions.
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của outofsamplelab
Market Regime & Risk DashboardAn analytics and risk dashboard. It tells you what state the market is in and how much to risk. It does NOT generate buy or sell signals and makes no claim of edge. What it shows - Volatility regime: realized volatility bucketed by its own percentile history (Low / Normal / High / Extreme) - Realized volatility and its percentile rank - Trend regime: Kaufman Efficiency Ratio bucketed into Trending / Mixed / Choppy - ATR % of price, an ATR-based stop distance, and a fixed-fractional position size for your chosen risk percent - Drawdown from the recent high How to read it Volatility regime drives position sizing: in Extreme regimes the same percent risk implies a far smaller position, and the dashboard does that maths for you. The trend regime is descriptive, not predictive. Honest by design - No buy/sell signals, no alpha claim. This is a measurement tool, not a prediction. - Non-repainting: every value is a function of confirmed closes, no request.security, no future data. The current forming bar updates in real time, which is normal, not historical repaint. - Every number is defined, with its limitations stated. Open-source and MIT licensed. Disclaimer: impersonal educational and analytics tool. This is not investment advice, not a personalised recommendation, and carries no performance guarantee. Past results do not predict future results. You are solely responsible for your own trading decisions.
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của outofsamplelab
RS Rating vs IndexRS Rating vs Index — Sector & Market Tracks how a stock is really performing — not just whether the price is going up, but whether it's beating the market and its own sector. Most relative-strength tools only compare a stock to one benchmark. This one runs two comparisons at the same time: the stock against its sector index (e.g. CSL vs XHJ) and against the broader market (default XJO). That distinction matters more than people give it credit for. A stock can look strong purely because its whole sector is hot — this indicator lets you see through that and tell whether a name is actually leading its peers, or just along for the ride. The rating itself is built the IBD way: weighted quarterly price performance with the most recent quarter counted double, then scaled to a 0–100 read using the stock's own trailing history. Above 70 and it's showing real strength versus the benchmark; below 30 and it's lagging. One honest caveat: this isn't a true cross-sectional RS Rating like you'd get from IBD's full universe ranking — Pine indicators can't see every other stock on the exchange at once. What you're getting is each stock ranked against its own history of relative performance, which in practice tracks strength and weakness pretty closely, just without the "top 1% of 3,000 stocks" precision. Set your own sector benchmark in the settings — defaults are ASX sector indices, but it'll work on any exchange if you swap the symbols.
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của ishwaren
Spark_ABRSpark_ABR plots the current bar’s projected range from the open using a 20-period Average Bar Range (high − low, including wicks). It draws short horizontal lines at open + ABR and open − ABR on the latest bar only, with a single plain-text ABR value beside the upper line. Spark_ABR 以当前 K 线开盘价为起点，用近 20 根平均波幅 ABR（high − low，含上下影）估算上下目标。仅在最新一根 K 线上画出短横线：open + ABR 与 open − ABR，并在上轨旁用纯文字显示一次当前 ABR 数值。
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của Spark0615
MHIDa ATR-Distance DipWHAT IT DOES ATR-Distance Dip is a visual context tool that measures how far price has stretched BELOW a reference moving average - not in fixed percentage points, but in ATR units (units of volatility). The same setting adapts by itself: in a calm market a small move already counts as far, in a choppy market price must travel further before it counts. It draws: - The reference average (EMA, default 20). - A dynamic threshold line at (average - N x ATR), default N = 3.5. - A shaded stretch zone between the average and the threshold. - A small triangle when the previous bar closed below the threshold and the current bar closes back up (the first comeback candle after the drop). - An optional alert on that comeback event, so you can be notified to LOOK at the chart. HOW IT IS CALCULATED - average = EMA(close, 20) - ATR = simple moving average of the True Range over 14 bars (a plain SMA of the true range, not Wilder's smoothing) - threshold = average - N x ATR (N adjustable, default 3.5; a sensible exploratory range is 2.5 / 3.5 / 4.5) - highlight condition (evaluated on closed bars): previous close below the previous threshold AND current close above the previous close. WHY ATR INSTEAD OF A FIXED PERCENTAGE A fixed distance like 5% below the average means different things in quiet and in volatile regimes. Measuring the stretch in ATR units keeps the meaning consistent: 3.5 ATR below the average is unusually stretched both in slow and in fast markets, because the yardstick itself follows current volatility. HOW TO USE IT Add it to a standard candlestick chart. Watch the shaded zone: when price falls below the threshold line, the market is unusually stretched below its average for the current volatility regime. The triangle marks only the first attempt to come back (a close above the previous close), which is where a chart reader may want to start paying attention. Adjust the average length, the ATR length and the multiple to your instrument and timeframe: the defaults are a starting point, not the one true configuration. HONESTY NOTE This is a context and chart-reading aid, not a trading system: it issues no entries, no exits and simulates no trades. Directional markers are drawn only on standard chart types. It is not financial advice. You always decide.
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của MHIDa
SMA 20/50/200 + BBCombines three widely used simple moving averages (20, 50, and 200 periods) in a single chart overlay. Optional 20-period Bollinger Bands with a 2.0 standard-deviation multiplier can be enabled in the indicator settings. Default colors: - Purple: SMA 20 - Orange: SMA 50 - Green: SMA 200 - Blue: Bollinger Bands This indicator is designed as a clean visual reference for trend direction, moving-average structure, and volatility. It does not generate entry or exit signals.
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của yobl1224
Elaris Market Energy [Professional]Elaris Market Energy Overview Elaris Market Energy is a multi-factor oscillator designed to evaluate the strength, direction, participation, and sustainability of market movement. Rather than relying on a single momentum calculation, the indicator combines several independent market characteristics into one normalized energy score. The goal is to help traders distinguish between weak price movement, developing participation, strong directional expansion, compression, and potential exhaustion. The Market Energy score is displayed in a separate oscillator panel and generally ranges from -100 to +100. * Positive values represent bullish market energy. * Negative values represent bearish market energy. * Values near zero represent neutral conditions, weak participation, or market compression. This indicator is intended to support market analysis and confirmation. It is not presented as a complete trading system and does not guarantee future price movement. --- Core Market Energy Model The final Market Energy score is calculated from six configurable components. Price Impulse Measures directional price displacement relative to current market volatility. This helps distinguish meaningful movement from ordinary price fluctuations. Candle Conviction Evaluates the structure of the current candle using: * Candle body size * Closing position inside the candle range * Upper and lower wick balance * Bullish or bearish candle direction A strong directional candle generally contributes more energy than an indecisive candle. Volume Participation Compares current volume with its recent average and evaluates whether market participation supports the current directional move. On symbols where volume data is unavailable or limited, the volume component may provide less information. Range Expansion Measures whether the current true range is expanding relative to recent market activity. Range expansion can help identify periods where volatility and directional participation are increasing together. Trend Alignment Evaluates: * Price position relative to an internal trend average * Direction and slope of the trend average * Alignment between current movement and broader market direction This component helps reduce the influence of momentum that is moving against the prevailing trend structure. Momentum Efficiency Combines directional momentum with movement efficiency. Movement efficiency compares the net price displacement with the total distance traveled. Cleaner directional movement generally produces a stronger reading than unstable or highly overlapping price action. --- Directional Movement Confirmation The indicator also uses Directional Movement Index information. The relationship between positive and negative directional movement helps confirm whether bullish or bearish pressure is dominant. ADX is used as a supporting measurement of trend strength. It does not independently determine the Market Energy score and is applied as a controlled confirmation component. --- Market Regimes The indicator classifies market conditions into several practical regimes. Compression Market Energy remains close to zero, suggesting limited directional participation or reduced momentum. Compression can occur during consolidation, low volatility, or periods of market indecision. Bullish or Bearish Energy Directional participation is developing, but the movement has not yet reached the strong-energy threshold. Strong Bullish or Bearish Energy Multiple components are aligned and directional participation has increased. These conditions may support continuation analysis when confirmed by price structure. Extreme Energy The oscillator has reached an unusually strong directional reading. Extreme energy can represent: * Strong continuation * Rapid volatility expansion * Late-stage momentum * A condition that may eventually transition into exhaustion An extreme reading should not automatically be interpreted as a reversal signal. Fading Energy Directional energy remains elevated but is beginning to weaken. Fading energy may indicate reduced participation, consolidation, or potential exhaustion. Price confirmation remains important. --- Signal Types Bullish Energy Entry A bullish signal may appear when: * Market Energy crosses above the selected entry threshold * Energy is above its signal line * Energy acceleration is positive * Enabled trend and directional filters are satisfied * Optional volume and candle-quality filters are satisfied Bearish Energy Entry A bearish signal uses the opposite conditions: * Market Energy crosses below the negative entry threshold * Energy is below its signal line * Energy acceleration is negative * Enabled bearish filters are satisfied Compression Release Compression-release markers identify a transition from low-energy conditions into directional expansion. These signals are intended to highlight developing volatility and participation after a compressed market phase. Energy Exhaustion Exhaustion markers identify situations where: * Energy recently reached an extreme level * The energy score begins to decline * Energy acceleration turns against the previous direction * Price begins showing an opposing reaction Exhaustion markers are warnings of weakening momentum. They do not confirm a complete trend reversal on their own. --- Visual Elements Energy Histogram The histogram displays both direction and intensity. * Bullish columns represent positive energy. * Bearish columns represent negative energy. * Stronger opacity represents increasing directional intensity. * Faded columns indicate weakening energy. Energy Line The main line shows the smoothed composite Market Energy score. Signal Line The signal line provides a slower reference for identifying changes in short-term energy direction. Energy Cloud The cloud between the Energy line and Signal line provides a quick visual representation of bullish or bearish energy alignment. Regime Background Optional background shading highlights: * Strong bullish conditions * Strong bearish conditions * Market compression Dashboard The optional dashboard summarizes: * Current Market Energy score * Current market regime * Energy acceleration * Relative volume * ADX * Price impulse * Candle conviction * Volume pressure * Range expansion * Trend alignment * Momentum efficiency * Signal confirmation mode The dashboard is intended to provide a quick overview without requiring the trader to interpret each internal calculation separately. --- Calculation Profiles Fast Uses shorter internal calculation lengths. This profile reacts more quickly but may also produce more frequent changes and additional noise. It may be suitable for lower-timeframe analysis when combined with strict filters. Balanced Provides a middle ground between responsiveness and stability. This is the default profile and is suitable as a general starting point. Conservative Uses longer calculation lengths. This profile produces slower and generally more stable readings, which may be useful on higher timeframes or when fewer signals are preferred. --- Suggested Usage The indicator can be used for several types of market analysis. Trend Confirmation Bullish price structure combined with positive and increasing Market Energy may support bullish continuation analysis. Bearish price structure combined with negative and decreasing Market Energy may support bearish continuation analysis. Breakout Confirmation A breakout accompanied by: * Range expansion * Increased relative volume * Strong impulse * Rising Market Energy may have greater participation than a breakout occurring during weak or compressed energy. Pullback Analysis During a broader trend, temporary energy weakness followed by renewed directional acceleration may help identify continuation conditions. Compression Monitoring Low absolute Market Energy can help identify markets that are consolidating or losing directional participation. A later compression release may highlight the start of renewed expansion. Exhaustion Monitoring Extreme energy followed by weakening acceleration may help traders identify when a mature move is losing participation. This should be combined with price structure, support and resistance, liquidity levels, or other confirmation methods. --- Recommended Starting Settings For lower timeframes, traders may consider: * Fast or Balanced profile * Higher entry threshold * Volume filter enabled * Candle-quality filter enabled * Candle-close confirmation enabled For medium timeframes, the Balanced profile and default settings provide a practical starting point. For higher timeframes, the Conservative profile may provide smoother regime identification and fewer short-term fluctuations. Settings should be adjusted based on the symbol, timeframe, liquidity, and trading approach. --- Alerts The script includes alert conditions for: * Bullish Energy Entry * Bearish Energy Entry * Bullish Compression Release * Bearish Compression Release * Bullish Energy Exhaustion * Bearish Energy Exhaustion * Strong Bullish Regime * Strong Bearish Regime * Energy Compression For stable alerts, enabling candle-close confirmation and selecting “Once Per Bar Close” when creating the TradingView alert is recommended. --- Repainting Information Elaris Market Energy does not use future data, lookahead logic, or future-confirmed pivot calculations. The indicator does not repaint historical closed-bar signals when candle-close confirmation is enabled. The live Market Energy value may change while the current candle is still forming because price, volume, candle range, and volatility are still changing. When “Confirm Signals On Candle Close” is enabled, signals are only confirmed after the candle closes. When this setting is disabled, signals may appear during an open candle and may disappear before that candle closes. --- Important Notes This indicator is a technical analysis tool and should not be interpreted as financial advice. Market Energy measures current and historical market conditions. It does not predict future results with certainty. Signal performance can vary significantly across: * Symbols * Asset classes * Timeframes * Volatility conditions * Liquidity environments * Trending and ranging markets Traders should use appropriate risk management and independently evaluate all trading decisions.
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của ElarisGroup
Capitulation Stretch Reversion [Jayadev Rana]OVERVIEW Capitulation Stretch Reversion is a long-biased, price-action mean-reversion strategy. Its thesis is simple: in an established uptrend, sharp multi-bar pullbacks that stretch price well below its short-term mean tend to snap back. The strategy waits for that stretched, capitulating condition, enters on the first sign of a turn, and exits when price reverts to the mean. Everything is derived from raw price and range (EMAs of price and Average True Range) - there are no oscillators or external data. HOW IT WORKS 1. Regime filter. A long EMA (default 200) defines the regime. Long trades are only permitted while price is above it, keeping every entry aligned with the prevailing drift. A symmetric short side exists but is OFF by default (see Direction). 2. Stretch + capitulation. A setup can only arm when price has extended at least a set number of ATRs below a short reversion mean (default 0.5 x ATR from a 5-EMA) AND has printed a run of consecutive lower closes (default 2). This is the "capitulation" filter - it avoids buying shallow noise and waits for a genuine flush. 3. Entry. When the stretched, capitulating condition is met and the current bar closes back up (a reversal bar), a long is taken on the confirmed bar. 4. Exit - three ways. The target is a reversion to the mean: the position is closed once price closes back at or above the reversion EMA. A protective stop sits a wide, volatility-based distance below entry (default 3 x ATR). A time stop closes any trade that has neither hit target nor stop within N bars (default 10). WHY THE STOP IS WIDE Mean reversion trades a high hit-rate against an unfavourable reward-to-risk: the target (a snap back to the mean) is near, while the protective stop is deliberately wide so normal wobble does not knock you out. This produces frequent winners but occasional losers that are larger than a typical win. That trade-off is intentional and is shown honestly in the results below - read the LIMITATIONS section carefully. BACKTEST (defaults, on the loaded history) Tested on SPY daily with the default inputs and the properties set in the script (10,000 initial capital, 100% of equity per trade, 0.03% commission, 2 ticks slippage). On the sample available in the Strategy Tester this produced roughly a 67% win rate with a profit factor near 1.67, a max drawdown around 10%, and no margin calls, modestly ahead of buy-and-hold over the same window. This is a limited in-sample backtest, not a forward result - your own data window, symbol, fees and fills will differ. SETTINGS Regime EMA Length - trend filter that gates entries. Reversion Mean Length - the EMA used as the snap-back target. Stretch (ATR from mean) - how far price must extend before a setup arms. Capitulation Bars - consecutive closes required to confirm exhaustion. Protective Stop (ATR) and Time Stop (bars) - the exit envelope. Direction - Trade Longs (on) and Trade Shorts (off by default; counter-trend shorts on up-drifting index ETFs have a much lower hit-rate). Dashboard - live regime, position, win rate, profit factor and net profit. LIMITATIONS Signals are evaluated on bar close, not intraday. The reported win rate is in-sample on a finite history and will not persist unchanged out of sample. Because winners are small and losers wide, a cluster of stopped trades can still produce a meaningful drawdown despite a high win rate - position size accordingly. Percent-of-equity sizing at 100% is for demonstration; use realistic risk-based sizing in practice. Mean reversion underperforms in strong, one-directional trends where price never stretches, and can suffer if a pullback turns into a full regime change. This script is a research and educational tool, not financial advice or a guarantee of future performance. ORIGINALITY The contribution is the specific combination: an ATR-normalised "stretch" distance from a fast mean, gated by a consecutive-lower-close capitulation count and a regime filter, with a mean-touch target against a wide ATR stop and a time stop. It is built from first principles on price and range, not a wrapper around a built-in indicator.
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của bluealgocapital
Robust Bollinger Bands"First and foremost, full credit and massive respect to John Bollinger for inventing the original Bollinger Bands, an absolute cornerstone of technical analysis. This script does not aim to replace his legendary work, but rather to build upon his core philosophy by applying modern robust statistics to solve extreme outlier scenarios." Description: Overview The "Institutional Robust Bollinger Bands" is a highly advanced, mathematically robust volatility indicator designed to solve the most common flaws of the classic Bollinger Bands. Standard Bollinger Bands rely on a Simple Moving Average (SMA) and Standard Deviation. Because standard deviation squares the distance from the mean, extreme market events (flash crashes, large gaps, or massive outlier wicks) artificially inflate the bands. This creates a "ghosting effect" where the bands remain irrationally wide long after the volatile event has passed, leading to false signals (fakeouts). This script completely rebuilds the volatility model using Robust Statistics, Huber Weights, Kaufman-inspired Efficiency Ratios, and Asymmetric Expansion. How It Solves the Classic Bollinger Bands Problem Median (Q50) vs. SMA: Instead of using an SMA for the Basis line, this indicator uses the Median (Q50). The Median is statistically immune to single-bar manipulation. Even if a massive outlier wick occurs, the Basis line remains stable, completely ignoring the "fake" movement. Huber Weighted Dispersion vs. Standard Deviation: Instead of squaring outliers, this script uses Median Absolute Deviation (MAD) and Huber Weights. Price action that falls outside a statistical threshold (1.345 * MAD) receives heavily penalized weights. This means the bands measure true continuous volatility rather than being skewed by one-off anomalies. Asymmetric Bands: Financial markets do not follow a perfect normal distribution (Bell Curve); they exhibit skewness and fat tails. This script calculates the Skewness (Q75 + Q25 - 2 * Q50) and Kurtosis (Q95 - Q05). If the trend is aggressively skewed to the upside, the upper band expands further while the lower band tightens, adapting to the directional momentum asynchronously. The Role of Classic Indicators & Custom Volatility Engines While the core logic replaces classic averages with quantiles, we still utilize the classic Simple Moving Average (SMA) for a very specific, underlying purpose: Smoothing dynamic mathematical engines. Efficiency Ratio (ER): We calculate a raw directional efficiency (netDisp / hlRange) inspired by Perry Kaufman's methodology. We then apply an SMA to smooth this raw data. This smoothed ER dynamically adjusts the Lambda (Skewness) multiplier. When the market is trending cleanly, the asymmetry expands automatically. Gap & Body Volatility: We measure real tick-by-tick shock (disp = body + gap). We use an SMA to compare the short-term volatility of this calculation against its long-term average. This dynamically adjusts the Mu (Fat Tail) multiplier, fortifying the bands automatically when market gaps increase. Key Features for Traders Self-Adaptive Multipliers: You don't need to manually change settings for different assets. The internal Efficiency Ratio and Volatility engines automatically scale the Skewness and Kurtosis multipliers based on the asset's current state. Percentile-Based Squeeze Detection (Yellow Background): Instead of looking for an absolute lowest value (which often breaks in prolonged ranging markets), the script uses a Percentile Rank logic. If the current bandwidth falls within the narrowest 15% (adjustable) of the last 100 bars, the background turns Gold/Yellow. This provides a highly stable visual cue that a major volatility breakout is building up. QUICK COMPARISON: CLASSIC BB vs. ROBUST BB 1. BASIS LINE (MIDDLE BAND) Classic: SMA (Simple Moving Average) - Sensitive to spikes. Robust: Median (Q50) - Completely immune to single-candle manipulation. 2. VOLATILITY MEASUREMENT Classic: Standard Deviation (Squared errors) - Outliers cause "Ghosting Effect". Robust: Huber Weighted Dispersion - Punishes outliers, keeping bands stable. 3. BAND STRUCTURE Classic: Perfectly Symmetric - Ignores market trend bias. Robust: Asymmetric Expansion - Adapts to price skewness (Bullish/Bearish bias). 4. DYNAMIC MULTIPLIERS Classic: Static (User-defined) - Requires manual tuning. Robust: Self-Adaptive - Automatically scales Kurtosis and Skewness via Efficiency Ratios. 5. SQUEEZE DETECTION Classic: Manual observation. Robust: Percentile-Rank Based - Background turns yellow when bandwidth is in the narrowest 15% of recent history. Usage Use this indicator exactly as you would use classic Bollinger Bands, but with the confidence that outlier wicks will not distort your analysis. Look for continuous Squeeze (yellow) zones to prepare for breakouts, and observe the asymmetric expansion of the bands to understand the true strength and bias of a trend. Disclaimer: This script is for educational and analytical purposes only. It does not constitute financial advice.
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của blntduman
Martingale Engine [point algo]Martingale Engine The Martingale Engine is an educational quantitative analysis tool that visualizes whether a price series behaves more like a martingale, sub-martingale, or super-martingale using concepts from stochastic processes and financial mathematics. The script combines Doob Decomposition, Variance Ratio Testing, and Quadratic Variation into a single dashboard for studying the statistical characteristics of market returns. It is intended for analysis and research rather than providing standalone trading signals. Mathematical Background For a stochastic process Xt, Doob's Decomposition states: X = M + A where M is the martingale (unpredictable innovation) component. A is the predictable drift component. This indicator estimates both components from logarithmic returns and displays how much of the recent price movement is explained by drift versus random innovation. Included Models 1. Doob Decomposition The indicator estimates Conditional Drift (μ) Martingale Innovation (ε) and separates total movement into Predictable component Random component This helps visualize whether recent price behavior has been primarily trend-driven or innovation-driven. 2. Martingale Probability Bands Using the estimated innovation volatility, the script builds statistical bands around the estimated drift. Displayed bands include ±1 Standard Deviation ±2 Standard Deviation These bands represent expected dispersion under the current volatility estimate and should not be interpreted as support, resistance, or guaranteed price targets. 3. Forward Martingale Cone The indicator projects a forward volatility cone based on the current innovation variance. The cone illustrates how expected dispersion increases over time under a martingale assumption. This feature is intended for visualization and educational analysis. 4. Variance Ratio Test (Lo–MacKinlay) The script performs the Variance Ratio Test over multiple aggregation periods. Evaluated windows: q = 2 q = 4 q = 8 q = 16 Interpretation: VR > 1 → Momentum tendency VR < 1 → Mean-reverting tendency VR ≈ 1 → Random walk behavior Corresponding z-statistics are also displayed for reference. 5. Quadratic Variation Quadratic Variation measures accumulated return variability over the selected estimation window. The dashboard reports Total Quadratic Variation Martingale Component Drift Component along with a realized volatility band derived from the estimated variation. Process Classification Based on the estimated annualized drift, the script classifies the process as: Sub-Martingale Expected future value exceeds the current value. Martingale Expected future value is approximately equal to the current value. Super-Martingale Expected future value is below the current value. This classification reflects the estimated statistical process over the selected lookback window and may change as new data becomes available. Dashboard The integrated dashboard displays: Doob decomposition Drift contribution Innovation contribution Variance Ratio statistics z-statistics Quadratic Variation Estimated realized volatility Annualized drift Estimated innovation volatility Current process classification Inputs Estimation Window : Number of historical bars used for calculations. Doob Drift EMA Length : EMA length used to estimate conditional drift. Forward Projection : Length of the projected martingale cone. Show Doob Decomposition : Displays estimated drift and statistical bands. Show Martingale Bounds Cone : Displays the forward projection cone. Show Quadratic Variation Band : Displays the realized volatility band. Intended Use This indicator may be useful for: Quantitative market research Studying stochastic price behavior Drift analysis Random walk analysis Mean reversion research Momentum research Educational demonstrations of martingale theory Financial mathematics Important Notes The calculations are based on historical price data. Statistical estimates depend on the selected lookback period. The displayed probability bands are model-based estimates and are not predictive forecasts. The indicator should be used alongside other forms of technical or quantitative analysis. No statistical model can fully describe future market behavior. References This script is inspired by concepts from: Doob Decomposition Martingale Theory Quadratic Variation Lo & MacKinlay Variance Ratio Test Stochastic Processes Financial Econometrics Disclaimer This indicator is provided for educational and analytical purposes only. It does not provide investment advice or guarantee future market performance. Users should perform their own research and apply appropriate risk management before making trading decisions.
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của pointalgo
SMAST Oscillator [point algo]The SMAST Oscillator combines a Simple Moving Average (SMA) with the Supertrend indicator to measure the distance between them as a momentum oscillator. Instead of displaying the SMA and Supertrend directly on the price chart, this indicator plots the difference between the two values around a zero line, making it easier to identify trend strength, momentum shifts, and potential reversals. How it works The oscillator is calculated as: Oscillator = SMA − Supertrend Positive values indicate the SMA is above the Supertrend. Negative values indicate the SMA is below the Supertrend. The farther the oscillator moves away from zero, the greater the separation between the two indicators. The histogram-style fill changes color automatically based on whether the oscillator is above or below the zero line. Interpretation Bullish Momentum Oscillator is above zero. Green color. SMA is positioned above the Supertrend. Suggests bullish market structure. Bearish Momentum Oscillator is below zero. Red color. SMA is positioned below the Supertrend. Suggests bearish market structure. Zero Line Cross A cross above or below zero may indicate that the relationship between the SMA and Supertrend has changed. Many traders use these transitions as an additional confirmation alongside their existing trading strategy. Inputs SMA Length Period used for the Simple Moving Average. Supertrend ATR Length ATR period used in the Supertrend calculation. Supertrend Multiplier Controls the sensitivity of the Supertrend. Lower values react faster. Higher values reduce noise but react more slowly. Best Use Cases Trend confirmation Momentum analysis Identifying trend transitions Multi-timeframe confirmation Swing trading Intraday trend filtering Notes This indicator is based on the built-in TradingView Supertrend function. It is designed as a momentum and trend-strength visualization. It should not be used as a standalone buy or sell signal. Consider combining it with price action, volume analysis, support/resistance, or other confirmation tools. Disclaimer This script is provided for educational and analytical purposes only. It does not constitute financial or investment advice. Always perform your own analysis and manage risk appropriately before making trading decisions.
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của pointalgo
KC Confirmed Order BlocksKC Confirmed Order Blocks is a rule-based educational indicator designed to display potential bullish and bearish reaction zones following confirmed breaks of market structure. A bullish order block is defined as the most recent bearish candle located before a confirmed bullish break above the latest pivot high. A bearish order block is defined as the most recent bullish candle located before a confirmed bearish break below the latest pivot low. Main features: • Confirmed pivot-based structure detection • Bullish and bearish break-of-structure confirmation • Full-candle or candle-body order-block ranges • Optional ATR displacement filter • Optional volume filter • Touch, midpoint and full-fill mitigation methods • Close-based or wick-based invalidation • Automatic management of active, mitigated and invalidated zones • Configurable number of visible zones • Bullish and bearish order-block alerts • Compact market-status dashboard Methodology: The indicator first identifies confirmed pivot highs and pivot lows. These pivots require the selected number of candles on both sides before they are confirmed. After a confirmed bullish break above the latest pivot high, the indicator searches backward for the nearest bearish candle within the selected lookback period. That candle's full range or body is displayed as a bullish order block. After a confirmed bearish break below the latest pivot low, the indicator searches backward for the nearest bullish candle. That candle's range is displayed as a bearish order block. Mitigation: Touch means price enters the nearest edge of the zone. Midpoint means price reaches 50% of the zone. Full Fill means price reaches the opposite edge of the zone. Mitigation only indicates that price has revisited the zone. It does not guarantee a reversal. Invalidation: A bullish order block is invalidated when price closes or trades below its lower boundary, depending on the selected setting. A bearish order block is invalidated when price closes or trades above its upper boundary. Limitations: Order-block identification is not universally standardized. This indicator applies a transparent rule-based definition so its behavior can be understood and evaluated consistently. All zones are calculated from historical price data. Marked zones may fail, become mitigated without reversal or be invalidated during volatile and news-driven market conditions. This script is intended solely for educational market analysis. It is not financial advice or a recommendation to buy or sell any financial instrument. Users should conduct independent analysis and apply appropriate risk management.
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của Kelly_Carter12
Williams VIX Fix Elite [MarkitTick]💡 The Williams VIX Fix Elite is a comprehensive, overlay-based technical analysis system designed to bring the powerful volatility-tracking properties of the traditional Williams VIX Fix directly onto the main price chart. By synthesizing statistical volatility extremes with an array of multi-timeframe trend filters, volume confirmation parameters, and dynamic risk management plotting, this tool transcends basic observation. It provides traders with a complete, structured methodology for identifying high-probability exhaustion zones and potential market reversals while strictly managing risk. ✨ Originality and Utility Standard volatility indicators are almost exclusively relegated to separate oscillator panes at the bottom of the chart. This traditional placement forces the user to constantly shift their visual focus, often leading to a disconnect between volatility metrics and actual price action. This indicator resolves that friction by mapping volatility exhaustion directly onto the candlesticks themselves through an intuitive color-coded heatmap. Furthermore, the utility of this script lies in its holistic approach to signal generation. Rather than providing isolated volatility alerts, it acts as a confluence engine. It mandates that a volatility spike must be corroborated by higher timeframe trend alignment, adequate localized volume, directional momentum, and specific standard deviation thresholds before generating an actionable signal. This transforms a simple oscillator concept into a robust, chart-integrated trading framework complete with dynamically calculated risk-to-reward parameters, rendering it highly useful for both discretionary analysis and automated alert integrations. 🔬 Methodology and Concepts ● The Volatility Engine • Williams VIX Fix (WVF) At its core, the script calculates the Williams VIX Fix. It does this by measuring the percentage drawdown of the current bar's low from the highest closing price over a user-defined lookback period. This mathematical approach creates a synthetic volatility index that mirrors the behavioral characteristics of the CBOE VIX, where high values indicate market fear and potential bottoms. • Statistical Bounds To determine when the WVF has reached a statistically significant extreme, the script applies Bollinger Bands to the WVF data. It calculates a Simple Moving Average (SMA) of the WVF and plots standard deviation bands around it. A "Spike" is registered when the WVF value breaches the upper Bollinger Band or a percentile-based historical high threshold. ● Confluence Filtering • Higher Timeframe (HTF) Alignment The script extracts moving average data from a user-selected higher timeframe. It assesses whether the higher timeframe's closing price and dual-period EMAs exhibit a bullish or bearish hierarchy, ensuring signals are not taken against the macro-directional flow. • Volatility and Volume Validation A signal is only considered valid if the localized volatility, measured by the Average True Range (ATR), exceeds its historical average multiplied by a strict threshold. Additionally, the localized volume must exceed its moving average, confirming that the reversal is backed by market participation. • Signal Execution and Risk Logic When all conditions align (a volatility spike followed by a directional reversal candle, validated by all filters), the script locks in the signal upon the bar's close. It immediately calculates a Stop Loss utilizing an ATR multiplier and projects three Take Profit levels mathematically derived from user-defined Risk-to-Reward (R:R) ratios. 🎨 Visual Guide ● Chart Overlay Elements • Candlestick Heatmap The indicator repaints the standard chart candles to reflect the immediate signal bias. A confirmed Long signal colors the candlestick body, borders, and wicks in a distinct bullish hue (default teal). Conversely, a confirmed Short signal paints the candle in a bearish hue (default red). Neutral periods retain a standard gray tone. • Dynamic Trade Levels Upon signal confirmation, the script automatically plots horizontal lines detailing the trade parameters: Stop Loss Line: A solid, thick line plotted below (for longs) or above (for shorts) the entry price, acting as the primary risk invalidation level. Entry Line: A dashed line marking the exact closing price of the signal candle. Take Profit Lines: Three sequential dashed lines representing TP1, TP2, and TP3, mapping out the reward targets. The space between the Stop Loss and Entry is highlighted with a semi-transparent risk linefill, while the space extending toward the Take Profit targets is highlighted with a reward linefill, visually contrasting the risk against the potential payout. ● The Interactive Dashboard A dedicated data panel is rendered on the chart (default top-right) providing real-time telemetry of the script's internal calculations. WVF Value & Spike Level: Displays the raw volatility index number alongside a visual progress bar indicating how close the current value is to the historical threshold. HTF & Trend Bias: Textually confirms the current macro and localized trend alignment (Bullish/Bearish). Volume & ATR: Confirms whether current volume is above or below average and displays the exact ATR value. R:R Ratio: A visual gauge of the current signal's risk-to-reward structure. Cooldown Status: Displays the remaining bars before a new signal can be generated, preventing over-signaling during congested price action. 📖 How to Use ● Execution Protocol • Step 1: Signal Identification Wait for a colored signal candle to print on the chart. A teal candle signifies a Long opportunity, while a red candle signifies a Short opportunity. Always wait for the candle to fully close, as signals are only validated upon bar confirmation to ensure accuracy. • Step 2: Dashboard Verification Consult the on-chart dashboard. Ensure that the "Spike Level" gauge was heavily filled prior to the signal, and visually confirm that the "HTF Bias" and "Trend Bias" align with your intended trade direction. Verify that the "Volume" metric indicates "Above Avg" for optimal setup quality. • Step 3: Risk Assessment Observe the plotted trade levels. The visual linefills will immediately show you the required risk (the distance from the dashed Entry line to the solid Stop Loss line). Assess whether this required risk fits within your personal account parameters. If the ATR has expanded too aggressively, the stop loss may be too wide, and the setup should be skipped. • Step 4: Trade Management If the trade is entered, utilize the plotted TP1, TP2, and TP3 lines as scaling-out points. The script also includes automated JSON alert outputs designed for third-party execution platforms, allowing users to fully automate the Long, Short, and Take Profit hit actions. ⚙️ Inputs and Settings ● Core Settings • WVF Lookback: Defines the historical period used to find the highest close for the volatility drawdown calculation. • BB Length & BB Mult: Controls the Simple Moving Average length and the standard deviation multiplier applied to the WVF. Lowering the multiplier increases sensitivity to volatility spikes. • Percentile HH Lookback & High % Threshold: An alternative absolute-threshold filter based on a percentage of the highest historical WVF values. ● Filters • HTF Resolution: Select the specific higher timeframe used for the macro trend validation. • ATR Length & Min Mult: Defines the lookback for the Average True Range and the multiplier required to validate adequate localized volatility. • Min Spike Above BB %: A Z-score threshold ensuring the volatility spike is mathematically severe before triggering a signal. • Volume Avg Length & Min Mult: Dictates the volume moving average parameters required for trade confirmation. • Cooldown Bars: The mandatory resting period (in bars) between valid signals to eliminate redundant alerts. ● Trade Tools & Alerts • SL ATR Mult: The multiplier applied to the current ATR to calculate the Stop Loss distance from the entry price. • TP1, TP2, TP3 R-Multiple: Dictates the reward distance for target lines relative to the calculated Stop Loss risk. • Alert Actions: String inputs allowing the user to customize the JSON payload commands sent to automated webhook services. 🔍 Deconstruction of the Underlying Scientific and Academic Framework ● Behavioral Finance and Volatility Asymmetry The underlying architecture of this indicator is deeply rooted in the academic principles of behavioral finance, specifically the asymmetry of market participant reactions. Financial markets typically exhibit a "stealth" characteristic during uptrends (low volatility, steady buying) and a "panic" characteristic during downtrends (high volatility, aggressive selling). The Williams VIX Fix capitalizes on this behavioral asymmetry by focusing exclusively on drawdowns from peak closes. By quantifying this localized panic, the script provides a mathematical representation of capitulation—a state where sell-side liquidity is exhausted, and rational market equilibrium is poised to return. ● Gaussian Distribution and Standard Deviation Anomalies To objectively define an "exhaustion point," the script relies on the statistical concept of normal distribution. By applying a Simple Moving Average to the raw volatility data, it establishes a baseline mean of market stress. The inclusion of Standard Deviation bands (Bollinger Bands) allows the system to measure dispersion from this mean. When the volatility index breaches the upper band, it represents an anomaly—an event occurring outside the expected standard deviation threshold. Statistically, extreme deviations from the mean are unsustainable, implying an imminent reversion. This indicator isolates these rare deviations to time market entries. ● The Role of True Range in Risk Normalization Risk management within the script is governed by the Average True Range (ATR), a concept introduced by J. Welles Wilder. The True Range accounts for absolute price movement, including gap openings, providing a more comprehensive measure of market kinetic energy than standard percentage changes. By tying the Stop Loss and Take Profit levels dynamically to the ATR, the script automatically normalizes risk across different market environments. In a highly volatile state, the ATR expands, naturally widening the stop loss to avoid premature invalidation from market noise. In a compressed state, the ATR contracts, tightening the risk parameters. This dynamic adaptation ensures that the statistical risk profile of each trade setup remains proportional to the current localized market geometry. ⚠️ Disclaimer All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. We expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
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của MarkitTick
12
DANGHIEU EMA 21/55/200 V2 + ADX ATR MomentumDANGHIEU EMA 21/55/200 V2 + ADX ATR Momentum is a trend-based market filter that evaluates: Trend: based on the EMA 21/55/200 alignment. EMA Separation: measures the distance between EMA 21 and EMA 55. ADX: evaluates trend strength. EMA Momentum: measures the rate of change of EMA 21. ATR: identifies volatility expansion or contraction. Market Score: combines all conditions into a 100-point market quality score. The indicator also supports HTF Simulation by scaling indicator lengths according to the selected timeframe ratio. How to use Prioritize long setups when: EMA 21 > EMA 55 > EMA 200. EMA Separation passes its threshold. ADX passes its threshold and is preferably rising. EMA Momentum is positive and aligned with the trend. ATR is expanding. Market Score is 80 or higher. Prioritize short setups when: EMA 21 < EMA 55 < EMA 200. EMA Separation passes its threshold. ADX passes its threshold. EMA Momentum is negative and aligned with the trend. ATR is expanding. Market Score is 80 or higher. This indicator is a market filter, not a standalone entry signal. It should be combined with market structure, support/resistance, pullbacks, and risk management.
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của mustang2807
Grid of averages"Grid of Averages" - Smart DCA Levels & Take Profit Calculator This indicator visualizes a dollar-cost averaging (DCA) strategy with up to 4 averaging levels. It automatically calculates entry prices, position volumes, and take-profit targets based on your balance and risk parameters. The tool displays a clear table with all key metrics and draws horizontal levels directly on the chart, helping you plan your grid trading strategy effortlessly. Perfect for traders who want to predefine their averaging zones and exit points before entering a position.
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của VKuznecov
Effective Spread OscillatorOverview Effective Spread Oscillator is a liquidity gauge built from price alone. It estimates the effective bid-ask spread — the real round-trip cost of trading — from open/high/low/close bars, with no quote or order-book data, then percentile-ranks it into a 0–100 read. High = a wide effective spread: thin, illiquid, stressed conditions where slippage and gaps are large. Low = a tight spread: deep, liquid, orderly trade. It is an analytical study of market liquidity and trading friction — not a directional signal and not a strategy. Why these parts are ONE tool (mashup justification) Liquidity is normally invisible without Level-2 data. This reconstructs it from bars and then makes it usable, in a chain where each link fixes what the previous one can't do alone: A low-frequency spread estimator recovers the effective spread from the geometry of OHLC prices — the cost the tape hides. Two are offered: Abdi-Ranaldo (close vs the high-low mid-range) and Corwin-Schultz (consecutive high-low ranges). Negative small-sample estimates — a known statistical artefact of these methods — are floored at zero. Percentile ranking turns an instrument-specific cost into a universal 0–100 read, so "expensive liquidity" means the same thing on an index future, a stock, or FX. A raw spread number in basis points is not comparable across symbols; a percentile is. A liquidity-state verdict (stressed / normal / liquid) plus a widening-vs-tightening read makes it legible at a glance, which a bare number isn't. The calibration harness then tests the well-documented link on your instrument: does a spread spike actually precede a volatility expansion? It reports the conditional hit rate against the unconditional base rate, so you see the Edge rather than assume it. Chained, they answer one question: is liquidity stressed right now, and has that stress preceded bigger moves here? How it works The estimator is computed on log prices and evaluated one bar back (so no future value is referenced), averaged over a window, optionally smoothed, and percentile-ranked over a lookback into the 0–100 oscillator. A spike arms when the spread crosses into the high band; the harness then checks whether the realised range over the next horizon exceeds k × ATR × √horizon more often than the base rate. (The √horizon term keeps the base rate informative near 50% instead of saturating on intraday charts.) How to use it The high band (above the upper guide) is stressed / illiquid: widen stops, expect slippage and gaps, and treat breakouts with care — this is where volatility expansions cluster. The low band is liquid / orderly: tighter behaviour, cleaner fills. Use it as a risk and position-sizing context that sits behind your directional tools, and read the Edge row to see whether spread spikes have actually preceded bigger ranges on this symbol. Spikes are marked in the pane and, optionally, on the price chart. The dashboard has a Compact layout (default) and a Pro layout (estimator in use, spread in bps, spike sample, base rate). Context — never a standalone trigger. Universal across markets The high / low / close inputs are configurable, so it runs on any instrument and timeframe. Defaults target intraday index futures. Crucially, it needs no volume, so it also works on volume-less feeds (cash indices, spot FX) where flow-based tools cannot. Non-repainting The estimator is evaluated one bar back, so it never references a future value, and the calibration harness logs and resolves only on confirmed bars, so its statistics never inflate intrabar. The live oscillator value updates each bar, like any oscillator. Originality The spread estimators are published academic work, credited below. What's original here is the construction around them: the percentile normalisation that makes the cost comparable across instruments, the liquidity-state and widening/tightening read, the price-overlay stress marker, and — most of all — the forward-calibration harness that tests the spread-spike → volatility-expansion link against a base rate on your own symbol rather than asserting it. Clean-room implementation; no third-party code reused. Concept credits Serial-covariance spread estimator — Richard Roll (1984) High-low range spread — Shane Corwin & Paul Schultz (2012) Close-high-low spread — Farshid Abdi & Angelo Ranaldo (2017) The current state of the art generalising this family to the full OHLC information set is the EDGE estimator of David Ardia, Emanuele Guidotti & Tim Kroencke (Journal of Financial Economics, 2024). This script implements the Corwin-Schultz and Abdi-Ranaldo estimators. Honest limits These are estimates of the effective spread from bar geometry, not measured quotes — accurate in aggregate, noisy bar to bar, which is exactly why a window and smoothing are used. Estimates can be small and are floored at zero in tiny samples. The Edge figures are in-sample, with overlapping forward windows and no costs — descriptive context, not a verified backtest. Nothing here predicts direction. Disclaimer Research and educational tool only. Not financial advice and no guarantee of profitability or accuracy. Indicators describe past behaviour; they do not predict the future. Trading carries risk of loss. Test out-of-sample and make your own decisions. The author accepts no liability.
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của Market_Logic_India
Keltner Position Divergence with Reliability ScoringOverview Keltner-Position Divergence with Reliability Scoring turns where price sits inside its Keltner channel into a bounded oscillator, reads it for divergence against price, and then scores — in real time — whether those divergences have actually been worth acting on for the symbol on your chart, and which direction is carrying the edge. It is a context / research read, not a standalone buy or sell signal. The idea A Keltner channel frames price with an ATR envelope around a moving average. Where price sits inside that envelope — pinned to the upper band, mid, or pinned to the lower band — is a bounded read of stretch. When price makes a new high but its Keltner position does not confirm (a lower band-position high), that non-confirmation can precede a turn. This script measures the divergence between price and its Keltner position, then keeps a self-updating track record of whether such divergences pay. Why these parts are combined (mashup rationale) Three components form one pipeline, not three separate signals: A Keltner-position oscillator — price's location within the ATR envelope (0 centre, +1 upper band, −1 lower band), z-scored so the bands and zones mean the same on every asset. Confirmed-pivot divergence — regular and hidden, between that position line and price, with an optional triple-pivot mode for rarer, stronger disagreements. A reliability harness — a binomial-proportion confidence test that asks whether each class of divergence has preceded a favourable move (a k×ATR travel over a fixed horizon) more often than a same-zone baseline, reported per direction with a Wilson confidence bound. Part 1 builds the bounded stretch read, part 2 fires only where price and position disagree, part 3 decides whether that disagreement has actually paid on this instrument. Remove any one and the tool can no longer answer "is this Keltner divergence worth trading here?" How to use it Read the verdict panel first. GREEN = these divergences have beaten a same-spot baseline here; RED = they've lost to it (skip, or change the band width / timeframe); AMBER = not statistically established yet; GREY = still gathering data. "Best signal" names the direction with the strongest measured edge; "Reward : risk" is the average best-vs-worst move after a signal, in ATR. A divergence is price making a higher high / lower low while the Keltner-position line does the opposite — marked in the pane and, optionally, on the price chart. It is context, never a standalone trigger. Settings worth knowing The regime filter ("Only count signals in regime") restricts the track record to signals that fired in a chosen regime — reverting markets suit divergence, strong trends punish it — so you can measure the edge where it's supposed to work. Costs subtracted (×ATR) raises the bar a signal must clear so the score is net of costs. Band width, MA length and the z-score window adapt the read to any instrument. Universality & non-repainting It reads only the chart's own price (configurable source), so it runs on any symbol, any timeframe, with no external data. Pivots confirm a fixed number of bars after the fact, and the track-record harness logs, updates and resolves only on confirmed (closed) bars, so its statistics never inflate or shift intrabar. The live oscillator updates each bar like any oscillator. All figures are in-sample and past-only. Outputs for other scripts Generic EXP_* plots — oscillator, signal, probability, edge, edge lower-bound, sample count, regime, band position — are published to the Data Window for use from other scripts via input.source(). Originality Standard Keltner tools just plot the channel. This one turns band-position into a divergence oscillator and keeps a self-updating, confidence-scored, per-class track record against a same-zone baseline — so you see not just that a divergence printed, but whether and how it has paid on the current market. Clean-room implementation; no third-party Pine code reused. Concept credits Keltner channel — Chester Keltner; ATR-band refinement — Linda Raschke Average True Range — J. Welles Wilder Binomial score confidence interval — Edwin B. Wilson Trend-efficiency regime measure — Perry Kaufman Disclaimer For research and education only. Not financial advice, not a recommendation, and not a guarantee of future results. All figures are in-sample and past-only. Markets carry risk; do your own research and manage your own risk.
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của Market_Logic_India
Stryk TrendsStryk: ATR Trends Everything in this tool is measured in units of one master ATR. Change that one length and the whole indicator retunes together — the candle coloring, the compression reads, the reversal checks, and the trailing stop all use the same yardstick. What it is At the center is a composite value line: a weighted blend of seven EMAs (8 through 144) and a rolling volume-weighted average. The VWMA leans the line toward where volume actually transacted, and its window can auto-size to your chart timeframe so it covers a similar span whether you're on the 1-minute or the daily. Price tends to return to this line, and the whole tool reads price against it. Candles color by distance from that line. Near it, they're neutral. The further price stretches away, the deeper the up or down color gets, reaching full saturation at a set ATR distance. A signal can also flip the candles to a solid color temporarily, so you can run the tool with every line hidden and still get the read from the candles alone. The engines Compression coil. A dedicated ATR is ranked into a percentile. When it compresses into the bottom of its range, the market is coiled. When the coil releases and price is at the same time over-extended from the composite, a fade marker prints back toward the line. One fire per release, inside a short window. A second marker can print if volume steps up afterward. Compression release. A separate lens using Donchian width (highest high minus lowest low) ranked in the same percentile framework. When the envelope tightens and then releases, a marker prints in the direction of an ATR-normalized momentum read. This is not a Bollinger-inside-Keltner squeeze — it's built entirely in percentile space. Reversal engine. Once price has stretched a set number of ATRs from the composite, the engine watches for the turn. It counts four independent checks: an RSI rollover, a close back inside the band around the line, a confirmed pivot, and a volume climax. When enough agree, a reversal marker prints — once per leg, and it won't re-arm until price comes back near the line. Pivots confirm after their right-side bars complete, so that check is delayed by design rather than repainting. Whale and spike. A per-bar order-flow estimate built from close location and volume. Two whale reads fire from it: a fade of a volume spike where the delta ran against the move, and absorption — heavy delta into a bar that barely moved. Both can be gated by trend so you don't fade into a strong stretch. Bars at the extreme relative-volume threshold print a spike marker instead; the whale band sits below that threshold, so the two never fire on the same bar. The spike is an attention marker, not a directional call. ATR trailing stop. A ratcheting volatility stop, either always on or armed by a coil fire. The default runs a tight 3/3 configuration as the real line, with a wider manual configuration drawn faintly beside it as a reference. The stop's ATR can be pulled from a higher timeframe, lookahead-off. Volume participation. A volume EMA normalized 0 to 100 against its own recent range. Fifty is average. The extremes tint the background and the value sits in the status box. Status box. One table on the chart reports every active engine on the last bar — stop side and level, compression stage, last reversal with its confluence count, last release, whale scenario, last spike, and participation. Rows light up when fresh and dim after a few bars. Every row can be toggled and the layout can run stacked or horizontal. How I use it Candle color is the base read. The coil and release tell me volatility compressed and which way it resolved. The reversal and whale engines flag exhaustion at the stretched edges. The trailing stop manages the rest. Each engine is independent — turn off what you don't use. Originality The rolling VWMA is the plain public-domain construction, sum(price x volume) / sum(volume), implemented directly with no external library. The compression framework — ATR-percentile coil plus Donchian-width release, scored in one percentile system — is original construction. Native built-ins only. Non-repainting on closed bars: higher-timeframe requests are lookahead-off on confirmed values, and alerts are meant for once-per-bar-close. Notes Built for standard candles only. The volume engines need a symbol with real volume, and the whale delta is an estimate from bar structure, not exchange order-flow data. This is an analysis tool, not advice, and it doesn't predict anything.
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của Es-Sniper
Self-Adaptive Trend Signals [AlgoAlpha]🟠 OVERVIEW This script builds on the SuperTrend by replacing its fixed ATR multiplier with one that learns from recent pullback behavior. Instead of assuming every market needs the same amount of room, it continuously measures how deep pullbacks normally become during uptrends and downtrends, then adjusts the trend line to match. The learning process is separated for bullish and bearish markets because both often behave differently. As new price data arrives, the trend line gradually adapts while remaining stable through smoothing and configurable limits. The result is a SuperTrend that responds to changing market conditions without requiring manual multiplier adjustments. 🟠 CONCEPTS Adaptive Pullback Room — The ATR multiplier is learned from recent pullbacks instead of remaining fixed. The selected pullback percentile becomes the amount of room given to the trend line. Pullback Coverage — Selects which percentage of historical pullbacks the trend line should accommodate. Higher values create wider trend lines while lower values produce tighter ones. Learning Memory — Stores recent pullback examples separately for bullish and bearish trends so each market direction develops its own adaptive settings. Learning Progress — Gradually blends learned values with the starting settings until enough historical examples have been collected. Bounce Zone — An inner line positioned between price and the main trend line to highlight pullbacks that recover before a full trend reversal. 🟠 FEATURES Adaptive Trend Line — Automatically adjusts its trailing distance as market pullback behavior changes over time. Bounce Zone — Displays an inner reaction line together with optional bounce markers when price resumes the trend. Pullback Map — Visual histogram showing the distribution of historical pullback sizes for bullish and bearish trends alongside the currently learned pullback levels. Quick Read Dashboard — Displays the active trend, current pullback room and learning status in a compact table. Trend Signals — Marks confirmed trend reversals and provides alert conditions for trend changes and bounce reactions. 🟠 HOW TO USE Watch for a trend change marker to identify when the trailing trend direction has flipped. Use the Bounce Zone to monitor pullbacks that recover while the main trend remains intact. Check the Pullback Map to see how current pullbacks compare with recent market behavior. Aiding in stop loss placement. Monitor the Learning Status in the dashboard to know whether the adaptive model is still gathering examples or has fully transitioned to learned values. Adjust Pullback Coverage if you want the trend line to allow more or less historical pullback movement. 🟠 CONCLUSION Self-Adaptive Trend Signals combines a SuperTrend with a continuously learned pullback model instead of relying on a fixed ATR multiplier. It adapts independently to bullish and bearish market conditions while providing trend signals, pullback visualization and learning feedback. This gives traders a trend line whose trailing distance reflects recent market behavior rather than remaining static.
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của AlgoAlpha
11
AlgoZ Pro Price ActionAlgoZ Pro Price Action is a clean price action based forex indicator built to help traders identify potential Buy, Sell, and Exit areas using a combination of market structure, trend filtering, volatility logic, and dynamic trade management. This indicator is designed around the idea that not every trade needs to have a high win rate to be useful. Instead of only looking for quick scalp targets, AlgoZ Pro Price Action is built to manage trades with a runner-style approach. The goal is to cut weak trades faster, protect trades that start moving in the right direction, and allow stronger moves to continue when momentum is present. The default settings are best suited for 1-minute EUR/USD forex trading. Other forex pairs and timeframes may work differently and should be tested before use. The indicator uses market structure breaks to identify possible directional shifts. When price breaks key internal support or resistance levels, the script checks multiple filters before plotting a signal. These filters are designed to reduce low-quality signals during chop, weak momentum, or overextended conditions. AlgoZ Pro Price Action includes Buy, Sell, and Exit labels directly on the chart. Buy signals are shown in teal, Sell signals are shown in pink, and Exit signals are shown in a neutral color. The bars can also be colored based on the active signal direction so it is easier to visually track the current market bias. One of the main parts of this indicator is the trend lock system. The trend lock helps prevent the indicator from flipping back and forth too quickly during noisy market conditions. It uses EMA trend structure, slope behavior, and confirmation bars to decide whether the market is currently favoring Buy-side or Sell-side continuation. Countertrend signals must be stronger before they are allowed through, which helps reduce random reversal signals during an active move. The indicator also includes automatic forex pair adjustment. It detects whether the chart is a JPY pair or a non-JPY forex pair and automatically adjusts pip size calculations. This helps prevent issues where a stop or exit calculation is too tight or too wide because of the symbol’s price format. The script also includes auto volatility tuning, which uses ATR-based logic to scale stop size, runner triggers, trailing stop distance, dead-trade protection, and cooldown behavior based on the current pair’s movement. Trade management is handled through a dynamic exit engine. Instead of using only fixed take profit levels, the indicator uses runner logic. Once a trade moves far enough in profit, the trade can enter runner mode. From there, the script can move the stop, protect profit, and trail the trade if the move continues. This allows stronger trades to breathe while still giving the indicator a way to exit when momentum fades. AlgoZ Pro Price Action also includes dead-trade protection. If a trade has been open for a certain number of bars and has failed to make meaningful progress, the script can plot an Exit signal. This is designed to help remove weak trades that are not moving enough to justify staying in them. The indicator includes several optional filters and controls, including EMA trend filtering, ADX strength filtering, chop filtering, candle body quality filtering, minimum EMA separation, price distance from the slow EMA, overextension protection, post-exit cooldown, and emergency protection logic. Main features include: • Buy, Sell, and Exit labels • Teal and pink AlgoZ Pro visual theme • Price action and market structure based signals • Internal support and resistance break logic • Optional BOS / CHoCH structure markings • EMA trend filtering • ADX trend strength filter • Chop and range filter • Candle quality filter • Trend lock system • Countertrend signal protection • Auto pip size detection • Auto adjustment for JPY and non-JPY forex pairs • ATR-based auto pair tuning • Dynamic stop logic • Runner-style trade management • Breakeven / profit lock logic • Trailing stop logic for stronger moves • Dead-trade exit protection • Optional bar coloring • Optional entry and stop lines • Optional status table Recommended default use: 1-minute EUR/USD forex chart. Other forex pairs and timeframes may require adjustment depending on spread, volatility, session, and market conditions.
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của rowdyllama
DJT Strategy - The Art of the DipWHAT THIS IS A satirical — but mechanically honest — volatility-event mean-reversion strategy for index charts (ES, SPX, SPY, NQ...). It trades one hypothesis, known to Wall Street as the TACO trade ("Trump Always Chickens Out"): when a policy Announcement detonates the VIX, the sell-off is usually walked back within days — a "90-day pause," a "very productive call," a clarification that the tariffs apply primarily to penguins. The dip, having been artisanally manufactured, is bought. The jokes are in the labels. The engine underneath is a real VIX-spike fade with staged exits, and every decision is lookahead-clean. HOW IT WORKS — ENTRY (Chaos Detection) • Covfefe Threshold — VIX trades ≥ 12% (default) above YESTERDAY'S CONFIRMED daily close. Not today's repainting value — yesterday's close is final data the moment today begins. • Flash Tantrum — fast intraday VIX rate-of-change (default 8% over 6 bars) to catch the 2:37 PM post that ends four decades of trade policy in under 280 characters. • Minimum VIX floor (default 18) — below this the market is not scared, it is merely golfing. • Vol-curve confirmation (default ON) — requires VIX9D > VIX. Genuine event panic inverts the front of the volatility curve: 9-day vol pricing above 30-day is the fingerprint of a real scare. If the curve isn't inverted, even the market doesn't believe the post, and the signal is skipped. This is the filter that separates an actual tantrum from a slow-drift vol day. When everything aligns, the strategy goes long the chart symbol at the next bar open. HOW IT WORKS — EXITS (the TACO Protocol, staged like the walk-back itself) • GREAT CALL — the first reassuring headline: VIX Δ falls back under 8% (default) → take half the position off. • CONCEPTS OF A PLAN — VIX reverts to within 4% of yesterday's close: a Framework of a Concept of a Deal has been reached → close the rest. • YOU'RE FIRED — fixed stop loss (default 1.5%). Sometimes he does not, in fact, chicken out. This is the apology budget. • DECLARE VICTORY — fixed profit target (default 2.5%). Exit into strength and take credit for the bounce you predicted after it happened. • NEWS CYCLE EXPIRY — time stop (default 78 bars ≈ one full RTH session on 5m). After one news cycle, a newer, more beautiful crisis replaces this one and the edge is gone. EXTRAS • Escalation sizing — at FULL COVFEFE (2× the spike threshold) the position gets the BIGLY multiplier. Peak fear is peak walk-back probability. This is either alpha or a margin call; many people are saying both. • Post-trade cooldown so a single escalating tweetstorm can't chain entries. • RTH-only entries (default ON), plus an optional "Prime Posting Hours" filter (cable-news breakfast block + post-lunch Executive Time). • "Believe Me" mode (default OFF) — experimental fade of VIX-crush euphoria, for days when everyone believes The Deal is real this time. • ♟️ 4D CHESS MODE — reverses every signal, for users who believe there is, in fact, a plan. Exits are direction-aware, so the joke is mechanically sound. If this mode outperforms, please tell no one. • CHAOS-O-METER™ dashboard — live chaos grade from 🏌️ GOLFING to 🚨 FULL COVFEFE, vol-curve status, a factory-floor "DAYS SINCE LAST TANTRUM" safety sign (resets constantly, as is tradition), deal accounting (Deals made / Fake news / Deals honored: TBD), net P&L denominated in $TRUMP at a peg of your choosing, and a Sharpe ratio readout that is simply THE BEST RATIO. • 🗽 Liberation Day (April 2) is marked annually — heightened tantrum risk, observed like a holiday, because it is one now. NO REPAINTING / NO LOOKAHEAD The reference VIX level is yesterday's confirmed daily close, pulled with the standard non-repainting pattern (close of the daily feed with lookahead on — final the moment today starts). Signals are evaluated on confirmed chart-timeframe bars and orders fill at the next bar open. Everything the strategy decides is knowable at decision time — which is more than can be said for the policy it trades. HOW TO USE • Chart: an index or index future (ES1!, SPX, SPY, NQ1!...). Intraday timeframes; defaults tuned around 5m. • Both vol symbols are inputs — swap in VXN for NQ, or your regional vol index pair for non-US indexes. • Strategy properties: $1,000,000 initial capital (sized for index futures notional), 2 contracts per trade by default (so the half-off scale-out has a half; at the default 1.5% stop on ES this risks roughly 1% of equity per trade), $4.50/contract commission, 1 tick slippage. margin_long/margin_short are explicitly 0 — Pine v6's default of 100 silently rejects futures entries whose notional exceeds capital; if you fork this for leveraged instruments, keep that line. DISCLAIMER This is satire with a working strategy attached, published for education and entertainment. The VIX spikes are, regrettably, real; the edge may not be. Backtest results on manufactured dips do not guarantee future walk-backs. Not financial advice — frankly, it barely qualifies as advice.
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