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Probability Cone█ Overview: Probability Cone is based on the Expected Move . While Expected Move only shows the historical value band on every bar, probability panel extend the period in the future and plot a cone or curve shape of the probable range. It plots the range from bar 1 all the way to bar 31. In this model, we assume asset price follows a log-normal distribution and the log return follows a normal distribution. Note: Normal distribution is just an assumption; it's not the real distribution of return. The area of probability range is based on an inverse normal cumulative distribution function. The inverse cumulative distribution gives the range of price for given input probability. People can adjust the range by adjusting the standard deviation in the settings. The probability of the entered standard deviation will be shown at the edges of the probability cone. The shown 68% and 95% probabilities correspond to the full range between the two blue lines of the cone (68%) and the two purple lines of the cone (95%). The probabilities suggest the % of outcomes or data that are expected to lie within this range. It does not suggest the probability of reaching those price levels. Note: All these probabilities are based on the normal distribution assumption for returns. It's the estimated probability, not the actual probability. █ Volatility Models : Sample SD : traditional sample standard deviation, most commonly used, use (n-1) period to adjust the bias Parkinson : Uses High/ Low to estimate volatility, assumes continuous no gap, zero mean no drift, 5 times more efficient than Close to Close Garman Klass : Uses OHLC volatility, zero drift, no jumps, about 7 times more efficient Yangzhang Garman Klass Extension : Added jump calculation in Garman Klass, has the same value as Garman Klass on markets with no gaps. about 8 x efficient Rogers : Uses OHLC, Assume non-zero mean volatility, handles drift, does not handle jump 8 x efficient. EWMA : Exponentially Weighted Volatility. Weight recently volatility more, more reactive volatility better in taking account of volatility autocorrelation and cluster. YangZhang : Uses OHLC, combines Rogers and Garmand Klass, handles both drift and jump, 14 times efficient, alpha is the constant to weight rogers volatility to minimize variance. Median absolute deviation : It's a more direct way of measuring volatility. It measures volatility without using Standard deviation. The MAD used here is adjusted to be an unbiased estimator. You can learn more about each of the volatility models in out Historical Volatility Estimators indicator. █ How to use Volatility Period is the sample size for variance estimation. A longer period makes the estimation range more stable less reactive to recent price. Distribution is more significant on larger sample size. A short period makes the range more responsive to recent price. Might be better for high volatility clusters. People usually assume the mean of returns to be zero. To be more accurate, we can consider the drift in price from calculating the geometric mean of returns. Drift happens in the long run, so short lookback periods are not recommended. The shape of the cone will be skewed and have a directional bias when the length of mean is short. It might be more adaptive to the current price or trend, but more accurate estimation should use a longer period for the mean. Using a short look back for mean will make the cone having a directional bias. When we are estimating the future range for time > 1, we typically assume constant volatility and the returns to be independent and identically distributed. We scale the volatility in term of time to get future range. However, when there's autocorrelation in returns( when returns are not independent), the assumption fails to take account of this effect. Volatility scaled with autocorrelation is required when returns are not iid. We use an AR(1) model to scale the first-order autocorrelation to adjust the effect. Returns typically don't have significant autocorrelation. Adjustment for autocorrelation is not usually needed. A long length is recommended in Autocorrelation calculation. Note: The significance of autocorrelation can be checked on an ACF indicator. ACF Time back settings shift the estimation period back by the input number. It's the origin of when the probability cone start to estimation it's range. E.g., When time back = 5, the probability cone start its prediction interval estimation from 5 bars ago. So for time back = 5 , it estimates the probability range from 5 bars ago to X number of bars in the future, specified by the Forecast Period (max 1000). █ Warnings: People should not blindly trust the probability. They should be aware of the risk evolves by using the normal distribution assumption. The real return has skewness and high kurtosis. While skewness is not very significant, the high kurtosis should be noticed. The Real returns have much fatter tails than the normal distribution, which also makes the peak higher. This property makes the tail ranges such as range more than 2SD highly underestimate the actual range and the body such as 1 SD slightly overestimate the actual range. For ranges more than 2SD, people shouldn't trust them. They should beware of extreme events in the tails. The uncertainty in future bars makes the range wider. The overestimate effect of the body is partly neutralized when it's extended to future bars. We encourage people who use this indicator to further investigate the Historical Volatility Estimators , Fast Autocorrelation Estimator , Expected Move and especially the Linear Moments Indicator . The probability is only for the closing price, not wicks. It only estimates the probability of the price closing at this level, not in between.
Indicador Pine Script®
por Motgench
WSMR v3.9 — WhaleSplash → Mean Reversal # WSMR v3.9 — WhaleSplash → Mean Reversal *A Non-Repainting Impulse‑Reversal Engine for Systematic Futures Trading* ## Overview WSMR v3.9 is a complete impulse → exhaustion → mean‑reversion framework designed for systematic intraday trading. It identifies high‑energy displacement events (“WhaleSplashes”), measures volatility structure, tracks VWAP deviation, and confirms reversals using RSI divergence, Z‑Score resets, SMA20 reclaim, and pivot-based structure. All signals are non‑repainting and alerts fire on bar close. --- ## Core Components ### 1. WhaleSplash (Short Impulse Event) Triggered when a candle meets displacement conditions: - Large bar range vs ATR - Minimum % move - Volume expansion - VWAP deviation (tick-based) - Z‑Score oversold / RSI exhaustion - Volatility-gated ### 2. Mean Reversal Long (MR) Requires: - RSI bullish divergence - Z‑Score reset - SMA20 reclaim - Higher-low confirmation ### 3. First-Candle Confirmation (Optional) - MR Confirm → first green after MR - WS Confirm → first red after WS - TTL window configurable ### 4. Asia Session Filter Optional restriction to: **23:00 → 09:00 UTC** ### 5. Volatility Monitor Detects: - Normal - Wicky - Spiky - Extreme ### 6. WS Frequency Analytics Rolling frequency calculation across: - Bars / Days / Weeks / Months --- ## Status Panel (Top-Right) Shows: - Mode (Global / Asia-only) - Timeframe + TTL - WS frequency - Volatility state --- ## Alerts - WhaleSplash SHORT - WhaleSplash LONG (MR) - MR Confirm LONG - WS Confirm SHORT - Volatility Warning --- ## Notes - Fully non‑repainting - Stable bar-close logic - Optimised for 1m–5m - Works on futures, indices, metals, FX
Indicador Pine Script®
por JohnFrancisNolan
XRP Non-Stop Strategy (TP 25% / SL 15%)XRP Non-Stop Strategy (TP 25% / SL 15%) is a continuous long-side trading system designed specifically for XRP. The strategy uses an EMA-based trend filter (EMA20/EMA50) to confirm bullish conditions before entering a long position. Each trade applies a fixed +25% Take Profit target and a −15% Stop Loss, calculated dynamically from the entry price. When a trade closes—whether by TP or SL—the strategy automatically re-enters on the next qualifying signal, enabling uninterrupted position cycling. Features include: • EMA-based trend confirmation • Dynamic TP/SL visualization on the chart • Clear BUY and EXIT markers • Dedicated alert conditions for automation
Estratégia Pine Script®
por antishyilma81
XRP Non-Stop Strategy (TP 25% / SL 15%)This strategy performs continuous automated trading exclusively on XRP. It opens long positions during favorable trend conditions, using a fixed Take Profit target of 25% above the entry price and a fixed Stop Loss of 15% below the entry. Once a trade is closed (either TP or SL), the strategy automatically re-enters on the next valid signal, enabling uninterrupted trading. The script includes: Dynamic Take Profit & Stop Loss lines Optional EMA trend filter Visual BUY and EXIT markers TradingView alerts for automation or notifications This strategy is built for traders who want a simple, price-action-driven system without fixed price levels, relying only on percentage-based movement from each entry.
Estratégia Pine Script®
por antishyilma81
XAUUSD Macro Anomaly Pulses (Chart XAU) - sudoXAUUSD Macro Anomaly Pulses A simple pulse indicator that highlights when XAUUSD moves in a way that macro conditions cannot fully explain Overview This indicator marks candles on XAUUSD that behave differently than what the broader market suggests should happen. Instead of looking at XAUUSD alone, this tool compares gold’s actual movement to an expected movement based on: Other gold cross pairs (XAUJPY, XAUAUD, XAUCHF) The U.S. Dollar Index (DXY), inverted The US30 index (Dow Jones) When XAUUSD moves much stronger or weaker than this macro-based expectation, the indicator plots a small pulse (a circle) directly on the candle. Purpose This indicator helps you quickly see when a candle on XAUUSD is acting “out of character” compared to normal macro flow. In other words: “Did XAUUSD move in a way that makes sense with the rest of the market, or did something weird happen?” These unusual moves often signal: Liquidity grabs Stop hunts News-driven spikes False breakouts Front-running of macro shifts How It Works It reads the XAUUSD candles directly from the chart. This ensures pulses stick to your candles correctly. It pulls data from basket legs (XAUJPY, XAUAUD, XAUCHF) and macro symbols (DXY, US30) using security calls. It converts each symbol into a simple % return per candle. It builds an “expected” gold move using weighted inputs: Average return of gold crosses Inverse return of DXY Return of US30 It calculates the “residual,” which means: actual XAU return - expected macro return It turns that into a Z-score to measure how extreme the deviation is. If the Z-score is too high or too low, the script marks the candle: Aqua pulse below bar = unusually strong move Fuchsia pulse above bar = unusually weak move How to Interpret the Pulses Aqua Pulse (below candle) – Bullish anomaly XAUUSD moved stronger than the macro environment suggests. Meaning: -Possible liquidity grab upward -Possible early trend move -Possible false breakout -Price may be overreacting Fuchsia Pulse (above candle) – Bearish anomaly XAUUSD moved weaker than expected. Meaning: -Possible liquidity sweep downward -Possible aggressive sell-side event -Possible exhaustion -Price may be taking liquidity before reversing Typical Use Cases -Spot moments when gold acts independently of macro -Identify candles that might signal a reversal or a trap -Confirm whether a breakout is real or suspicious -Filter trades by macro alignment -Help understand when XAUUSD is reacting to news or liquidity instead of fundamentals Inputs Explained - Z-score Lookback – How many candles are considered normal behavior - Z-threshold – How extreme a move must be before it is marked - Basket / DXY / US30 weights – How much influence each macro component has
Indicador Pine Script®
por hondacivic2002
PDH/PDL Sweep & Rejection - sudoPDH/PDL Sweep + Rejection This indicator identifies classic liquidity sweeps of the previous day's high or low, then confirms whether price rejected that level with force. It is built to highlight moments when the market takes liquidity and immediately snaps back in the opposite direction, a behavior often linked to failed breakouts, engineered stops, or clean reversals. The tool marks these events directly on the chart so you can see them without manually watching the daily levels. What it detects The indicator focuses on two events: PDH sweep and rejection Price breaks above the previous day's high, overshoots the level by a meaningful amount, and then closes back below the high. PDL sweep and rejection Price breaks below the previous day's low, overshoots, and then closes back above the low. These are structural liquidity events, not random wicks. The script checks for enough overshoot and strong bar range to confirm it was a genuine stop grab rather than noise. How it works The indicator evaluates each bar using the following logic: 1. Previous day levels It pulls yesterday's high and low directly from the daily timeframe. These act as the PDH and PDL reference points for intraday trading. 2. Overshoot measurement After breaking the level, price must push far enough beyond it to qualify as a sweep. Instead of using arbitrary pips, the required overshoot is scaled relative to ATR. This keeps the logic stable across different assets and volatility conditions. 3. Range confirmation The bar must be larger than normal compared to ATR. This ensures the sweep happened with momentum and not because of small, choppy price movement. 4. Rejection close A valid signal only prints if price closes back inside the previous day's range. For a PDH sweep, the bar must close below PDH. For a PDL sweep, the bar must close above PDL. This confirms a failed breakout and a rejection. What gets placed on the chart Red downward triangle above the bar: Previous Day High sweep and rejection Lime upward triangle below the bar: Previous Day Low sweep and rejection The markers appear exactly on the bar where the sweep and rejection occurred. How traders can use this Identify potential reversals Sweeps often occur when algorithms target liquidity pools. When followed by a strong rejection, the market may be preparing for a reversal or rotation. Avoid chasing breakouts A clear sweep warns that a breakout attempt failed. This can prevent traders from entering at the worst possible location. Time entries at extremes The markers help you see where the market grabbed stops and immediately turned. These areas can become high quality entry zones in both trend continuation and countertrend setups. Support liquidity based models The indicator aligns naturally with trading frameworks that consider liquidity, displacement, failed breaks, and microstructure shifts. Add confidence to confluence-based setups Combine sweeps with displacement, FVGs, or higher timeframe levels to refine entry timing. Why this indicator is helpful It automates a pattern that traders often identify manually. Sweeps are easy to miss in fast markets, and this tool eliminates the need to constantly monitor daily levels. By marking only the events that show overshoot plus rejection plus significant range, it filters out the weak or false signals and leaves only meaningful liquidity events.
Indicador Pine Script®
por hondacivic2002
Displacement Pulse Markers - sudoThis indicator is designed to highlight sudden and meaningful bursts of price movement. These bursts are called displacement pulses. A pulse appears when price expands with force, closes near the extreme of its own bar, and breaks through a recent structural level. The indicator places small circles above or below the candle to signal these moments so that traders can quickly spot abnormal movement and potential shifts in market intent. How it works The indicator evaluates each bar for three conditions: Range expansion relative to volatility The bar must be larger than normal. It compares the bar range to ATR and requires that range to exceed a multiple of ATR. When this condition is met, the bar is considered a large or forceful bar. Close location within the bar The bar has to close near its own high or low. A close near the top suggests strong buying force. A close near the bottom suggests strong selling force. The user can adjust what percentage qualifies as near the top or bottom. Break of recent structure The bar must break a recent pivot level. For bullish pulses, the high of the bar must exceed the highest high of the past N bars. For bearish pulses, the low must break the lowest low of the past N bars. This confirms that the move did not merely expand but actually displaced prior structure. When all conditions align A bullish displacement pulse is marked with a small aqua circle below the bar. A bearish displacement pulse is marked with a fuchsia circle above the bar. The result is a clean on chart visualization of where price produced meaningful displacement. How traders can use this Spot abnormal momentum Pulses can highlight areas where price behaves with more force than usual. These events often appear around news, liquidity sweeps, or algorithmic shifts. Identify possible regime changes A pulse that breaks structure while closing near the extreme may signal a transition from a ranging environment to a trending one. It does not predict direction but flags where displacement actually occurred. Support narrative building When combined with levels, zones, or other frameworks, pulses can confirm whether the market had enough strength to break through an area with conviction. Filter trades or refine entries Some traders may choose to trade in the direction of recent pulses during trending conditions. Others may only enter a trade after a pulse confirms that the market has shifted away from compression. Track where the market is imbalanced A pulse visually marks whether buyers or sellers were able to generate strong initiative movement. These points often become useful reference zones for continuation or rejection analysis. Why this indicator is useful It reduces complex logic into simple visual markers. Instead of scanning bar by bar for structural breaks, volatility expansions, and close strength, the indicator does this automatically and highlights only the bars that meet all criteria. This keeps the chart clean while still providing precision about where displacement actually occurred.
Indicador Pine Script®
por hondacivic2002
Linear Trajectory & Volume StructureThe Linear Trajectory & Volume Structure indicator is a comprehensive trend-following system designed to identify market direction, volatility-adjusted channels, and high-probability entry points. Unlike standard Moving Averages, this tool utilizes Linear Regression logic to calculate the "best fit" trajectory of price, encased within volatility bands (ATR) to filter out market noise. It integrates three core analytical components into a single interface: Trend Engine: A Linear Regression Curve to determine the mean trajectory. Volume Verification: Filters signals to ensure price movement is backed by market participation. Market Structure: Identifies previous high-volume supply and demand zones for support and resistance analysis. 2. Core Components and Logic The Trajectory Engine The backbone of the system is a Linear Regression calculation. This statistical method fits a straight line through recent price data points to determine the current slope and direction. The Baseline: Represents the "fair value" or mean trajectory of the asset. The Cloud: Calculated using Average True Range (ATR). It expands during high volatility and contracts during consolidation. Trend Definition: Bullish: Price breaks above the Upper Deviation Band. Bearish: Price breaks below the Lower Deviation Band. Neutral/Chop: Price remains inside the cloud. Smart Volume Filter The indicator includes a toggleable volume filter. When enabled, the script calculates a Simple Moving Average (SMA) of the volume. High Volume: Current volume is greater than the Volume SMA. Signal Validation: Reversal signals and structure zones are only generated if High Volume is present, reducing the likelihood of trading false breakouts on low liquidity. Volume Structure (Smart Liquidity) The script automatically plots Support (Demand) and Resistance (Supply) boxes based on pivot points. Creation: A box is drawn only if a pivot high or low is formed with High Volume (if the volume filter is active). Mitigation: The boxes extend to the right. If price breaks through a zone, the box turns gray to indicate the level has been breached. 3. Signal Guide Trend Reversals (Buy/Sell Labels) These are the primary signals indicating a potential change in the macro trend. BUY Signal: Appears when price closes above the upper volatility band after previously being in a downtrend. SELL Signal: Appears when price closes below the lower volatility band after previously being in an uptrend. Pullbacks (Small Circles) These are continuation signals, useful for adding to positions or entering an existing trend. Long Pullback: The trend is Bullish, but price dips momentarily below the baseline (into the "discount" area) and closes back above it. Short Pullback: The trend is Bearish, but price rallies momentarily above the baseline (into the "premium" area) and closes back below it. 4. Configuration and Settings Trend Engine Settings Trajectory Length: The lookback period for the Linear Regression. This is the most critical setting for tuning sensitivity. Channel Multiplier: Controls the width of the cloud. 1.0: Aggressive. Results in narrower bands and earlier signals, but more false positives. 1.5: Balanced (Default). 2.0+: Conservative. Creates a wide channel, filtering out significant noise but delaying entry signals. Signal Logic Show Trend Reversals: Toggles the main Buy/Sell labels. Show Pullbacks: Toggles the re-entry circle signals. Smart Volume Filter: If checked, signals require above-average volume. Unchecking this yields more signals but removes the volume confirmation requirement. Volume Structure Show Smart Liquidity: Toggles the Support/Resistance boxes. Structure Lookback: Defines how many bars constitute a pivot. Higher numbers identify only major market structures. Max Active Zones: Limits the number of boxes on the chart to prevent clutter. 5. Timeframe Optimization Guide To maximize the effectiveness of the Linear Trajectory, you must adjust the Trajectory Length input based on your trading style and timeframe. Scalping (1-Minute to 5-Minute Charts) Recommended Length: 20 to 30 Multiplier: 1.2 to 1.5 Logic: Fast-moving markets require a shorter lookback to react quickly to micro-trend changes. Day Trading (15-Minute to 1-Hour Charts) Recommended Length: 55 (Default) Multiplier: 1.5 Logic: A balance between responsiveness and noise filtering. The default setting of 55 is standard for identifying intraday sessions. Swing Trading (4-Hour to Daily Charts) Recommended Length: 89 to 100 Multiplier: 1.8 to 2.0 Logic: Swing trading requires filtering out intraday noise. A longer length ensures you stay in the trade during minor retracements. 6. Dashboard (HUD) Interpretation The Head-Up Display (HUD) provides a summary of the current market state without needing to analyze the chart visually. Bias: Displays the current trend direction (BULLISH or BEARISH). Momentum: ACCELERATING: Price is moving away from the baseline (strong trend). WEAKENING: Price is compressing toward the baseline (potential consolidation or reversal). Volume: Indicates if the current candle's volume is HIGH or LOW relative to the average. Disclaimer *Trading cryptocurrencies, stocks, forex, and other financial instruments involves a high level of risk and may not be suitable for all investors. This indicator is a technical analysis tool provided for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a guarantee of profit. Past performance of any trading system or methodology is not necessarily indicative of future results.
Indicador Pine Script®
por DarkPoolCrypto
GCM MACD based Range OscillatorGCM MACD based Range Oscillator (MRO) Introduction The GCM MACD based Range Oscillator (MRO) is a hybrid technical indicator that combines the momentum-tracking capabilities of the classic MACD (Moving Average Convergence Divergence) with a custom Range Oscillator. The core problem this script solves is normalization. Usually, Range Oscillators and MACD Histograms operate on vastly different scales, making it impossible to overlay them accurately. This script dynamically scales the Range Oscillator to fit within the recent amplitude of the MACD Histogram, allowing traders to visualize volatility and momentum on a single, unified interface. How It Works (The Math) 1. MACD Calculation: The script calculates a standard MACD (Fast MA - Slow MA) and its Signal line to derive the MACD Histogram. 2. Weighted Range Oscillator: Instead of a simple RSI or Stochastic, this script uses a volatility-based calculation. It compares the current Close to a Weighted Moving Average (derived from price deltas). 3. Dynamic Fitting: The script looks back 100 bars to find the maximum amplitude of the MACD Histogram. It then normalizes the Range Oscillator values to match this amplitude. 4. Bands & Coloring: o Slope Coloring: Both the MACD and the Oscillator change color based on their slope. Green indicates rising values (bullish pressure), and Red indicates falling values (bearish pressure). o Fixed Bands: Horizontal bands are placed at +0.75 and -0.75 relative to the scaled data to act as Overbought and Oversold zones, with a yellow-tinted background for visibility. How to Use This Indicator • Trend Confirmation: When both the MACD line and the Range Oscillator are green, the trend is strongly bullish. When both are red, the trend is bearish. • Contraction & Expansion: The yellow zone (between -0.75 and +0.75) represents the "equilibrium" or ranging area. Breakouts above the Upper Band (+0.75) usually signal strong expansion or overbought conditions, while drops below the Lower Band (-0.75) signal oversold conditions. • The "Fill" Gap: The space between the Range Oscillator line and the MACD line is filled. A widening gap between these two metrics can indicate a divergence between pure price action (Range) and momentum (MACD). • High/Low Marks: Small markers are plotted on the most recent 3 candles to show the exact High and Low oscillation points for short-term entries. Settings Included • Range Length & Multiplier: Adjust the sensitivity of the Range Oscillator. • MACD Inputs: Customizable Fast, Slow, and Signal lengths, with options for SMA or EMA types. • Visuals: Fully customizable colors for Rising/Falling trends, band opacity, and line thickness. How this follows House Rules 1. Originality: o Rule: You cannot simply upload a generic MACD. o Compliance: This is not a standard MACD. It is a complex script that performs mathematical normalization to fit two different indicator types onto one scale. The "Dynamic Fitting" logic makes it unique. 2. Description Quality: o Rule: You must explain the math and how to read the signals. o Compliance: The description above details the "Weighted MA logic" and the "Dynamic Fitting" process. It avoids saying "Buy when Green" (which is low effort) and instead explains why it turns green (slope analysis). 3. Visuals: o Rule: Plots must be clear and not cluttered. o Compliance: The script uses overlay=false (separate pane). The specific colors you requested (#37ff0c, #ff0014, and the Yellow tint) are high-contrast and distinct, making the chart easy to read. 4. No "Holy Grail" Claims: o Rule: Do not promise guaranteed profits. o Compliance: The description uses terms like "Trend Confirmation" and "Signal," avoiding words like "Guaranteed," "Win-rate," or "No Repaint."
Indicador Pine Script®
por uniGram
Strategy: HMA 50 + Supertrend SniperHMA 50 + Supertrend Confluence Strategy (Trend Following with Noise Filtering) Description: Introduction and Concept This strategy is designed to solve a common problem in trend-following trading: Lag vs. False Signals. Standard Moving Averages often lag too much, while price action indicators can generate false signals during choppy markets. This script combines the speed of the Hull Moving Average (HMA) with the volatility-based filtering of the Supertrend indicator to create a robust "Confluence System." The primary goal of this script is not just to overlay two indicators, but to enforce a strict rule where a trade is only taken when Momentum (HMA) and Volatility Direction (Supertrend) are in perfect agreement. Why this combination? (The Logic Behind the Mashup) Hull Moving Average (HMA 50): We use the HMA because it significantly reduces lag compared to SMA or EMA by using weighted calculations. It acts as our primary Trend Direction detector. However, HMA can be too sensitive and "whipsaw" during sideways markets. Supertrend (ATR-based): We use the Supertrend (Factor 3.0, Period 10) as our Volatility Filter. It uses Average True Range (ATR) to determine the significant trend boundary. How it Works (Methodology) The strategy uses a boolean logic system to filter out low-quality trades: Bullish Confluence: The HMA must be rising (Slope > 0) AND the Close Price must be above the Supertrend line (Uptrend). Bearish Confluence: The HMA must be falling (Slope < 0) AND the Close Price must be below the Supertrend line (Downtrend). The "Choppy Zone" (Noise Filter): This is a unique feature of this script. If the HMA indicates one direction (e.g., Rising) but the Supertrend indicates the opposite (e.g., Downtrend), the market is considered "Choppy" or indecisive. In this state, the script paints the candles or HMA line Gray and exits all positions (optional setting) to preserve capital. Visual Guide & Signals To make the script easy to interpret for traders who do not read Pine Script, I have implemented specific visual cues: Green Cross (+): Indicates a LONG entry signal. Both HMA and Supertrend align bullishly. Red Cross (X): Indicates a SHORT entry signal. Both HMA and Supertrend align bearishly. Thick Line (HMA): The main line changes color based on the trend. Green: Bullish Confluence. Red: Bearish Confluence. Gray: Divergence/Choppy (No Trade Zone). Thin Step Line: This is the Supertrend line, serving as your dynamic Trailing Stop Loss. Strategy Settings HMA Length: Default is 50 (Mid-term trend). ATR Factor/Period: Default is 3.0/10 (Standard for trend catching). Exit on Choppy: A toggle switch allowing users to decide whether to hold through noise or exit immediately when indicators disagree. Risk Warning This strategy performs best in trending markets (Forex, Crypto, Indices). Like all trend-following systems, it may experience drawdown during prolonged accumulation/distribution phases. Please backtest with your specific asset before using it with real capital.
Estratégia Pine Script®
por Gustav_Rex
Volatility Regime NavigatorA guide to understanding VIX, VVIX, VIX9D, VVIX/VIX, and the Composite Risk Score 1. Purpose of the Indicator This dashboard summarizes short-term market volatility conditions using four core volatility metrics. It produces: • Individual readings • A combined Regime classification • A Composite Risk Score (0–100) • A simplified Risk Bucket (Bullish → Stress) Use this to evaluate market fragility, drift potential, tail-risk, and overall risk-on/off conditions. This is especially useful for intraday ES/NQ trading, expected-move context, and understanding when breakouts or fades have edge. 2. The Four Core Volatility Inputs (1) VIX — Baseline Equity Volatility • < 16: Complacent (easy drift-up, but watch for fragility) • 16–22: Healthy, normal volatility → ideal trading conditions • > 22: Stress rising • > 26: Tail-risk / risk-off environment (2) VIX9D — Short-Term Event Vol Measures 9-day implied volatility. Reacts to immediate news/events. • < 14: Strongly bullish (drift regime) • 14–17: Bullish to neutral • 17–20: Event risk building • > 20: Short-term stress / caution (3) VVIX — Volatility of VIX (fragility index) Tracks volatility of volatility. • < 100: “Bullish, Bullish” — very low fragility • 100–120: Normal • 120–140: Fragile • > 140: Stress, hedging pressure (4) VVIX/VIX Ratio — Microstructure Risk-On/Risk-Off One of the most sensitive indicators of market confidence. • 5.0–6.5: Strongest “normal/bullish” zone • < 5.0: Bottom-stalking / fear regime • > 6.5: Complacency → vulnerable to reversals • > 7.5: Fragile / top-risk 3. Composite Risk Score (0–100) The dashboard converts all four inputs into a single score. Score Interpretation • 80–100 → Bullish - Drift regime. Shallow pullbacks. Upside favored. • 60–79 → Normal - Healthy tape. Balanced two-way trading. • 40–59 → Fragile - Choppy, failed breakouts, thinner liquidity. • 20–39 → Risk-Off - Downside tails active. Favor fades and defensive behavior. • < 20 → Stress - Crisis or event-driven tape. Avoid longs. Score updates every bar. 4. Regime Label Independent of the composite score, the script provides a Regime classification based on combinations of VIX + VVIX/VIX: • Bullish+ → Buying is easy, tape lifts passively • Normal → Cleanest and most tradable conditions • Complacent → Top-risk; be careful chasing upside • Mixed → Signals conflict; chop potential • Bottom Stalk → High VIX, low VVIX/VIX (capitulation signatures) A trailing “+” or “*” indicates additional bullish or caution overlays from VIX9D/VVIX. 5. How to Use the Dashboard in Trading When Bullish (Score ≥ 80): • Expect drift-up behavior • Downside limited unless catalyst hits • Structure favors breakouts and trend continuation • Mean reversion trades have lower expectancy When Normal (Score 60–79): • The “playbook regime” • Breakouts and mean reversion both valid • Best overall trading environment When Fragile (Score 40–59): • Expect chop • Breakouts fail • Take quicker profits • Avoid overleveraged directional bets When Risk-Off (20–39): • Favor fades of strength • Downside tails activate • Trend-following short setups gain edge • Respect volatility bands When Stress (<20): • Avoid long exposure • Do not chase dips • Expect violent, news-sensitive behavior • Position sizing becomes critical 6. Quick Summary • VIX = weather • VIX9D = short-term storm radar • VVIX = foundation stability • VVIX/VIX = confidence vs fragility • Composite Score = overall regime health • Risk Bucket = simple “what do I do?” label This dashboard gives traders a high-confidence, low-noise view of equity volatility conditions in real time.
Indicador Pine Script®
por prelate
Hash SupertrendHash Supertrend is a visually enhanced Supertrend-based indicator designed by Hash Capital Research, tuned specifically for crypto trend trading on Solana (SOL) and Bitcoin (BTC). It combines institutional-style color coding, an optional session time filter, and production-ready alerts for systematic and discretionary traders alike. What This Indicator Is Hash Supertrend is a trend-following volatility band indicator built on TradingView’s native ta.supertrend() function. It’s optimized and visually styled for: High-volatility crypto pairs (especially SOL/USDT, SOL/USD, BTC/USDT, BTC/USD) Timeframes typically used by crypto traders (from 5m scalping to 4H swing and 1D trend following) The script is an indicator, not a strategy: It does not place trades or show backtest results. It provides clear trend states, flips, and alerts that you can plug into your own execution stack or manual trading. Key Features ✅ Tuned for Crypto (Solana & Bitcoin) Parameters are chosen to respond well to the volatility profile of SOL and BTC, reducing noise while still catching strong moves. ✅ Non-repainting Supertrend Core Uses TradingView’s built-in ta.supertrend — values may move intrabar as the bar forms, but once a bar closes, the historical line and signals do not repaint. ✅ Fluorescent Trend Visualization Bright green for bullish phases Bright red for bearish phases Adaptive color intensity based on user setting ✅ Glow Layer & Trend Zones Glow effect around the Supertrend line for instant visual recognition Optional filled zones between price and line for “trend cloud” style visualization ✅ Time Filter (Session Control) Option to only mark signals during specific hours for those wanting to integrate with webhooks Designed for traders who avoid certain sessions (e.g., low-liquidity hours) ✅ Signal Dots & Alerts Tiny green dots for bullish flips Tiny red dots for bearish flips Professional, preconfigured alerts for: Long Entry Short Entry Any Trend Change Filtered signals outside trading hours (for monitoring only) The core logic is built on: ATR Length (ATR Length) Default: 16 Lower values (7–10): more sensitive, more signals, more noise Higher values (12–20): smoother, fewer but stronger trend signals Factor (Factor) Default: 3.11 Lower values (1.5–2.5): tighter bands, earlier entries, higher whipsaws Higher values (3.0–4.0+): wider bands, later entries, stronger trend confirmation The indicator reads direction from ta.supertrend and classifies: Bullish Trend: direction < 0 Bearish Trend: direction > 0 A trend flip happens when direction changes sign: longSignal: Supertrend flips from above price to below price (bearish → bullish) shortSignal: Supertrend flips from below price to above price (bullish → bearish)
Indicador Pine Script®
por Hash_Capital
EMA Smoothed Standard Error Bands-zrbb-EMA Smoothed Standard Error Bands-zrbb- The Standard Error Bands (SEM) indicator is primarily used in market analysis to measure price volatility, assess trend strength, and identify potential market reversals or consolidation zones. Similar to Bollinger Bands, it is typically based on linear regression lines rather than simple moving averages, providing traders with a visual range of price fluctuations around its average trend. Specific functions include: * Measuring Volatility: The width of the SEM directly reflects market volatility. When price trends are stable, the bandwidth typically contracts, indicating that data points are clustered around the mean; conversely, when market volatility increases, the bandwidth expands, indicating greater price dispersion. * Assessing Trend Strength and Direction: This indicator can show the direction of the current trend and assess its strength by observing the price's position within the bands. If the price consistently touches or trades near the boundary on one side of the band, it usually indicates a strong trend in that direction. * Identifying Overbought/Oversold Signals: While not a strictly overbought/oversold indicator, when the price touches or breaks through the upper or lower band, it may indicate that the market is in a state of extreme volatility in the short term, potentially leading to a price pullback or reversal. Predicting Potential Trend Ends or Consolidation: When the standard error band begins to expand significantly, it can be a signal that the momentum of the current trend is weakening, and the market may be about to enter a consolidation phase or the trend may be about to reverse. Assisting Decision Making and Risk Management: Traders use the boundary lines as potential support and resistance levels to help determine entry and exit points or set stop-loss levels, thereby managing trading risk. In summary, the standard error band is a dynamic volatility tool that helps traders better understand market behavior by quantifying the degree to which prices deviate from their predicted trend, providing an important reference, especially in judging the continuation of trends and potential turning points. 标准误差带（Standard Error Bands）指标在市场分析中主要用于衡量价格波动性、判断趋势强度以及识别潜在的市场反转或盘整区域。它类似于布林带（Bollinger Bands），但通常基于线性回归线而不是简单的移动平均线，为交易者提供了价格围绕其平均趋势波动的视觉范围。 具体作用包括： 衡量波动性：标准误差带的宽度直接反映了市场的波动性。当价格趋势稳定时，带宽通常会收缩，表明数据点聚集在均值附近；相反，当市场波动加剧时，带宽会扩张，表明价格离散程度增大。 判断趋势强度和方向：该指标可以显示当前趋势的方向，并通过观察价格在带内的位置来评估趋势的强度。如果价格持续触及或运行在某一侧的边界附近，通常意味着该方向的趋势强劲。 识别超买/超卖信号：虽然不是严格意义上的超买/超卖指标，但当价格触及或突破上轨或下轨时，可能预示着市场短期内处于极端的波动状态，可能会出现价格回调或反转。 预测潜在的趋势结束或盘整：当标准误差带开始显著扩张时，这可能是一个信号，表明当前趋势的动能正在减弱，市场可能即将进入盘整期或趋势即将反转。 辅助决策和风险管理：交易者利用边界线作为潜在的支撑位和阻力位，帮助确定进场、出场点位或设置止损水平，从而管理交易风险。 总之，标准误差带是一个动态的波动率工具，它通过量化价格偏离其预测趋势的程度，帮助交易者更清晰地理解市场行为，尤其是在判断趋势的持续性和潜在转折点方面提供了重要参考。
Indicador Pine Script®
por zrbb-1
SMC Statistical Liquidity Walls [PhenLabs]📊 SMC Statistical Liquidity Walls Version: PineScript™ v6 📌 Description The SMC Statistical Liquidity Walls indicator is designed to visualize market volatility and potential reversal zones using advanced statistical modeling. Unlike traditional Bollinger Bands that use simple lines, this script utilizes an “Inverted Sigmoid” opacity function to create a “fog of war” effect. This visualizes the density of liquidity: the further price moves from the equilibrium (mean), the “harder” the liquidity wall becomes. This tool solves the problem of over-trading in low-probability areas. By automatically mapping “Premium” (Resistance) and “Discount” (Support) zones based on Standard Deviation (SD), traders can instantly see when price is overextended. The result is a clean, intuitive overlay that helps you identify high-probability mean reversion setups without cluttering your chart with manual drawings. 🚀 Points of Innovation Inverted Sigmoid Logic: A custom mathematical function maps Standard Deviation to opacity, creating a realistic “wall” density effect rather than linear gradients. Dynamic “Solidity”: The indicator is transparent at the center (Equilibrium) and becomes visually solid at the edges, mimicking physical resistance. Separated Directional Bias: distinct Red (Premium) and Green (Discount) coding helps SMC traders instantly recognize expensive vs. cheap pricing. Smart “Safe” Deviation: Includes fallback logic to handle calculation errors if deviation hits zero, ensuring the indicator never crashes during data gaps. 🔧 Core Components Basis Calculation: Uses a Simple Moving Average (SMA) to determine the market’s equilibrium point. Standard Deviation Zones: Calculates 1SD, 2SD, and 3SD levels to define the statistical extremes of price action. Sigmoid Alpha Calculation: Converts the SD distance into a transparency value (0-100) to drive the visual gradient. 🔥 Key Features Automated Premium/Discount Zones: Red zones indicate overbought (Premium) areas; Green zones indicate oversold (Discount) areas. Customizable Density: Users can adjust the “Steepness” and “Midpoint” of the sigmoid curve to control how fast the walls become solid. Integrated Alerts: Built-in alert conditions trigger when price hits the “Solid” wall (2SD or higher), perfect for automated trading or notifications. Visual Clarity: The center of the chart remains clear (high transparency) to keep focus on price action where it matters most. 🎨 Visualization Equilibrium Line: A gray line representing the mean price. Gradient Fills: The space between bands fills with color that increases in opacity as it moves outward. Premium Wall: Upper zones fade from transparent red to solid red. Discount Wall: Lower zones fade from transparent green to solid green. 📖 Usage Guidelines Range Period: Default 20. Controls the lookback period for the SMA and Standard Deviation calculation. Source: Default Close. The price data used for calculations. Center Transparency: Default 100 (Clear). Controls how transparent the middle of the chart is. Edge Transparency: Default 45 (Solid). Controls the opacity of the outermost liquidity wall. Wall Steepness: Default 2.5. Adjusts how aggressively the gradient transitions from clear to solid. Wall Start Point: Default 1.5 SD. The deviation level where the gradient shift begins to accelerate. ✅ Best Use Cases Mean Reversion Trading: Enter trades when price hits the solid 2SD or 3SD wall and shows rejection wicks. Take Profit Targets: Use the Equilibrium (Gray Line) as a logical first target for reversal trades. Trend Filtering: Do not initiate new long positions when price is deep inside the Red (Premium) wall. ⚠️ Limitations Lagging Nature: As a statistical tool based on Moving Averages, the walls react to past price data and may lag during sudden volatility spikes. Trending Markets: In strong parabolic trends, price can “ride” the bands for extended periods; mean reversion should be used with caution in these conditions. 💡 What Makes This Unique Physics-Based Visualization: We treat liquidity as a physical barrier that gets denser the deeper you push, rather than just a static line on a chart. 🔬 How It Works Step 1: The script calculates the mean (SMA) and the Standard Deviation (SD) of the source price. Step 2: It defines three zones above and below the mean (1SD, 2SD, 3SD). Step 3: The custom `get_inverted_sigmoid` function calculates an Alpha (transparency) value based on the SD distance. Step 4: Plot fills are colored dynamically, creating a seamless gradient that hardens at the extremes to visualize the “Liquidity Wall.” 💡 Note For best results, combine this indicator with Price Action confirmation (such as pin bars or engulfing candles) when price touches the solid walls.
Indicador Pine Script®
por PhenLabs
Humontre Signal Channel — Free EditionHumontre Signal Channel is a clean, high-clarity trend and volatility tool designed to help traders identify directional bias, momentum shifts, and breakout conditions with minimal noise. The Free Edition provides the core engine behind the Humontre system: dynamic EMA bands, adaptive trend coloring, and precise LONG / SHORT signals. Whether you trade Crypto, Forex, Indices or Stocks , the Signal Channel keeps you aligned with market structure in a simple and intuitive way. 🔍 How It Works 1. Dynamic EMA Channel A fast-reacting EMA forms the core of the system. The channel boundaries can be calculated using: ATR × Multiplier (recommended) Percentage mode (alternative for low-volatility markets) This creates a flexible volatility envelope that naturally highlights trend strength and momentum expansion. 2. Adaptive Trend Coloring The EMA automatically shifts colors: Green → bullish pressure Red → bearish pressure Clear, objective trend visualization without interpretation. 3. Long & Short Signals Signals appear when price closes outside the band: LONG → Close crosses above the upper band SHORT → Close crosses below the lower band Repeated signals in the same direction are filtered for cleaner momentum confirmation. 4. Multi-Market Ready Works on all markets and timeframes: Crypto Forex Indices Stocks Commodities 🆓 Free Edition Includes Dynamic EMA Channel ATR or % Band Mode Adaptive Trend Colors Clean LONG / SHORT Signals Basic Alerts Minimal, unobtrusive chart visuals Ideal for learning the Humontre system and spotting breakout opportunities. ⭐ Upgrade to the Pro Edition (Invite-Only) The Humontre Signal Channel — Pro Edition unlocks advanced professional features: Automatic SL & TP levels Dynamic Risk-to-Reward box SL/TP labels & smart line system Live trade tracking Full trade history table UI & theme customization Alerts for SL/TP hits Much more coming… If you’d like access, feel free to contact me. 📌 Disclaimer This indicator is for educational purposes only and does not constitute financial advice. Always use proper risk management.
Indicador Pine Script®
por Humontre
9
Global BB Resonance [by TESTEDED]📈 Global BB Resonance Hunter 1. Design Philosophy: Dimensional Reduction In modern trading, "Information Overload" is the enemy. Traders often clutter their charts with 15+ Bollinger Band lines across 1H, 4H, Daily, and Weekly timeframes, resulting in a "spaghetti chart" that is impossible to read quickly. The core logic of this indicator is "Dimensional Reduction." Instead of drawing every single line, this script runs a background algorithm to detect "Confluence" (Resonance). The Thesis: A single Bollinger line (e.g., 1H Upper) is easily broken. However, when multiple dimensions overlap (e.g., 1H Upper + Daily Mid + Weekly Low) at the exact same price level, a "Market Consensus" is formed. These are the critical "Walls" of the market. The Solution: We sort all data by Price, not Time. If lines cluster together within a specific threshold (e.g., 0.15%), the script draws a single Resonance Box instead of multiple confusing lines. 2. Key Features 🛡️ Multi-Timeframe Monitoring: Simultaneously monitors 1H, 4H, Daily, Weekly, and Monthly Bollinger Bands in the background, regardless of your chart's current timeframe. ⚡ Smart Resonance Detection: Automatically groups overlapping levels into "Resonance Boxes." ⚡ (2-Line Confluence): Watch closely. ⚡⚡ (3-Line Confluence): Strong Support/Resistance. ⚡⚡⚡ (4+ Lines): "Iron Wall" Resonance. 📊 Volatility State Perception: Detects if the bands are Squeezing (accumulating energy) or Expanding (trending). Style Options: Choose between Icons (🧊/🔥) or Geek Symbols (>.< / <^>). 🧘 Focus Mode (Sniper View): A unique feature that hides all individual lines, leaving only the Resonance Boxes and the Dashboard. This keeps your chart clean and distraction-free. 🔔 Smart Alerts: Get notified immediately when Price touches a Resonance Box or when a Squeeze occurs. 3. Visual Guide A. The Symbols (State Indicators) You can switch styles in the settings. B. The Resonance Boxes Red Box: Resistance Zone (Above Price). Green Box: Support Zone (Below Price). Label: E.g., ⚡⚡ 1H Up + D Mid. This tells you exactly which levels are overlapping. 4. Usage Strategy The "Reversal" Setup: Look for a Green Resonance Box below price with High Confluence (⚡⚡). Ensure the state is NOT Expanding (<^> or 🔥). The "Breakout" Setup: Look for the Squeeze Symbol (>.< or 🧊) on the dashboard. If price approaches a Resonance Box while Squeezing, expect a breakout. The "Sniper" Method: Turn on Focus Mode. Set Alerts. Only look at the chart when price hits a "Wall." How to use： youtu.be 📈 布林带多维共振捕猎者 1. 设计哲学：降维打击 在现代交易中，“信息过载”是最大的敌人。交易者经常在图表上叠加 1H、4H、日线、周线等 15 条以上的布林带线条，导致图表像“盘丝洞”一样难以阅读。 本指标的核心逻辑是“降维打击”与“数据可视化”。 我们不再画出每一条线，而是在后台运行算法来捕捉**“共振”（Confluence）**。 核心理念：单一周期的布林线（如 1H 上轨）很容易被刺破。但是，当多个维度的力量（如 1H 上轨 + 日线中轨 + 周线下轨）在同一个价格水平重叠时，就形成了**“市场合力”**。这些位置才是市场真正的“铜墙铁壁”。 解决方案：系统按价格而非时间对数据进行排序。如果多条线在特定阈值（如 0.15%）内聚集，脚本会画出一个**“共振框”**，而不是无数条混乱的线。 2. 核心功能 🛡️ 全维幽灵监控：无论当前图表周期如何，脚本都会在后台实时监控 1H, 4H, 日线, 周线, 月线 的数据。 ⚡ 智能共振雷达：自动检测并合并重叠的关键位。 ⚡ (2线共振)：值得关注。 ⚡⚡ (3线共振)：强力支撑/阻力。 ⚡⚡⚡ (4线以上)：核弹级/铁壁共振。 📊 波动率状态感知：自动识别布林带是处于 挤压蓄势 还是 扩张爆发 阶段。 风格切换：支持 图标模式 (🧊/🔥) 或 极客符号模式 (>.< / <^>)。 🧘 专注模式 (Focus Mode)：一键隐藏所有单线，只保留共振框和仪表盘。让您的图表瞬间清空，像狙击手一样只关注目标。 🔔 智能警报：当价格触及共振框，或出现极度压缩信号时，立即发送警报。 3. 视觉指南 A. 状态符号说明 您可以在设置中切换显示风格。 B. 共振框说明 红色方框：上方阻力区 (Resistance)。 绿色方框：下方支撑区 (Support)。 标签示例：⚡⚡ 1H Up + D Mid —— 明确告知您是哪几条线发生了共振。 4. 实战策略 “反转”交易：寻找价格下方的绿色共振框，且具有高星级 (⚡⚡)。前提是当前状态不是扩张状态 (<^> 或 🔥)。 “突破”交易：在仪表盘上看到 挤压符号 (>.< 或 🧊)。如果价格在挤压状态下逼近共振框，不要逆势阻挡，大概率会发生强力突破。 “狙击”模式：开启 专注模式。设置好警报。不要盯着 K 线波动，直到价格撞上“墙壁”触发警报时再介入。 使用说明： youtu.be
Indicador Pine Script®
por AAAAAA2020
複合ガチイカ🦑🦑🦑 日本語説明は英文の後ーーーーーーーーーーーーーーー 🦑 Composite Gachi Squid Indicator – A fun and intuitive trading overlay combining SuperTrend, ATR, and RSI. Body color shows trend direction and strength. Tentacles visualize volatility. Eyes indicate overbought/oversold conditions. 🦑↑ / 🦑↓ marks provide clear entry signals. Perfect for visual traders who want both style and actionable insights. 日本語説明------------------------------------------------------------- 🦑 複合ガチイカ・インジケーター – SuperTrend、ATR、RSI を組み合わせた遊び心と実用性を両立したチャートオーバーレイ。 イカの体の色でトレンドの方向と強さを表示 触手でボラティリティを可視化 目で買われすぎ・売られすぎを表示 🦑↑ / 🦑↓ が分かりやすいエントリーシグナル 見た目も楽しく、トレード判断にも使えるインジケーターです。
Indicador Pine Script®
por mamachi-