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15-Minute Squeeze Scalper (Traffic Light Edition)Overview This is a highly optimized version of the famous Squeeze Momentum Indicator, customized specifically for 15-minute scalping . While the original indicator is powerful, the default colors can be confusing for new traders. I have recoded this to function as a simple "Traffic Light" system to help you identify periods of inaction vs. periods of high-probability breakouts. How it Works This tool identifies when the market is "quiet" (low volatility) and getting ready to explode. It uses Bollinger Bands and Keltner Channels to measure this energy. The "Traffic Light" Visuals 🔴 RED Cross (Center Line): STOP / WAIT Meaning: The Squeeze is ON. The market is coiling tight. Action: Do not trade yet. Wait for the energy to release. The longer the line of red dots, the bigger the potential move. 🟢 GREEN Cross (Center Line): GO / ACTION Meaning: The Squeeze has FIRED. Volatility is expanding. Action: Look at the Histogram to determine the direction of the trade. 📊 Histogram Bars: Lime/Green: Bullish Momentum (Trade Long). Red/Maroon: Bearish Momentum (Trade Short). The 15-Minute Scalping Strategy Identify the Squeeze: Look for a series of Red Crosses on the zero line. Wait for the Fire: Wait for the first Green Cross to appear. Confirm Direction: If the Cross turns Green AND the Histogram is above zero: LONG. If the Cross turns Green AND the Histogram is below zero: SHORT. Alerts Included I have added custom alerts so you don't have to stare at the screen: "Squeeze Fired": Alerts you instantly when the Red Cross changes to Green. "Momentum Long/Short": Alerts you when momentum flips direction.
Chỉ báo Pine Script®
của billal-kashif
Multi-indicator Signal Builder [Skyrexio]Overview Multi-Indicator Signal Builder is a versatile, all-in-one script designed to streamline your trading workflow by combining multiple popular technical indicators under a single roof. It features a single-entry, single-exit logic, intrabar stop-loss/take-profit handling, an optional time filter, a visually accessible condition table, and a built-in statistics label. Traders can choose any combination of 12+ indicators (RSI, Ultimate Oscillator, Bollinger %B, Moving Averages, ADX, Stochastic, MACD, PSAR, MFI, CCI, Heikin Ashi, and a “TV Screener” placeholder) to form entry or exit conditions. This script aims to simplify strategy creation and analysis , making it a powerful toolkit for technical traders. Indicators Overview RSI (Relative Strength Index) Measures recent price changes to evaluate overbought or oversold conditions on a 0–100 scale. Ultimate Oscillator (UO) Uses weighted averages of three different timeframes, aiming to confirm price momentum while avoiding false divergences. Bollinger %B Expresses price relative to Bollinger Bands, indicating whether price is near the upper band (overbought) or lower band (oversold). Moving Average (MA) Smooths price data over a specified period. The script supports both SMA and EMA to help identify trend direction and potential crossovers. ADX (Average Directional Index) Gauges the strength of a trend (0–100). Higher ADX signals stronger momentum, while lower ADX indicates a weaker trend. Stochastic Compares a closing price to a price range over a given period to identify momentum shifts and potential reversals. MACD (Moving Average Convergence/Divergence) Tracks the difference between two EMAs plus a signal line, commonly used to spot momentum flips through crossovers. PSAR (Parabolic SAR) Plots a trailing stop-and-reverse dot that moves with the trend. Often used to signal potential reversals when price crosses PSAR. MFI (Money Flow Index) Similar to RSI but incorporates volume data. A reading above 80 can suggest overbought conditions, while below 20 may indicate oversold. CCI (Commodity Channel Index) Identifies cyclical trends or overbought/oversold levels by comparing current price to an average price over a set timeframe. Heikin Ashi A type of candlestick charting that filters out market noise. The script uses a streak-based approach (multiple consecutive bullish or bearish bars) to gauge mini-trends. TV Screener A placeholder condition designed to integrate external buy/sell logic (like a TradingView “Buy” or “Sell” rating). Users can override or reference external signals if desired. Unique Features Multi-Indicator Entry and Exit You can selectively enable any subset of 12+ classic indicators, each with customizable parameters and conditions. A position opens only if all enabled entry conditions are met, and it closes only when all enabled exit conditions are satisfied, helping reduce false triggers. Single-Entry / Single-Exit with Intrabar SL/TP The script supports a single position at a time. Once a position is open, it monitors intrabar to see if the price hits your stop-loss or take-profit levels before the bar closes, making results more realistic for fast-moving markets. Time Window Filter Users may specify a start/end date range during which trades are allowed, making it convenient to focus on specific market cycles for backtesting or live trading. Condition Table and Statistics A table at the bottom of the chart lists all active entry/exit indicators. Upon each closed trade, an integrated statistics label displays net profit, total trades, win/loss count, average and median PnL, etc. Seamless Alerts and Automation • Configure alerts in TradingView using “Any alert() function call.” • The script sends JSON alert messages you can route to your own webhook. • The indicator can be integrated with Skyrexio alert bots to automate execution on major cryptocurrency exchanges. Optional MA/PSAR Plots For added visual clarity, optionally plot the chosen moving averages or PSAR on the chart to confirm signals without stacking multiple indicators. Methodology Multi-Indicator Entry Logic When multiple entry indicators are enabled (e.g., RSI + Stochastic + MACD), the script requires all signals to align before generating an entry. Each indicator can be set for crossovers, crossunders, thresholds (above/below), etc. This “AND” logic aims to filter out low-confidence triggers. Single-Entry Intrabar SL/TP • One Position At a Time: Once an entry signal triggers, a trade opens at the bar’s close. • Intrabar Checks: Stop-loss and take-profit levels (if enabled) are monitored on every tick. If either is reached, the position closes immediately, without waiting for the bar to end. Exit Logic All Conditions Must Agree: If the trade is still open (SL/TP not triggered), then all enabled exit indicators must confirm a closure before the script exits on the bar’s close. Time Filter Optional Trading Window: You can activate a date/time range to constrain entries and exits strictly to that interval. Justification of Methodology Indicator Confluence: Combining multiple tools (RSI, MACD, etc.) can reduce noise and false signals. Intrabar SL/TP: Capturing real-time spikes or dips provides a more precise reflection of typical live trading scenarios. Single-Entry Model: Straightforward for both manual and automated tracking (especially important in bridging to bots). Custom Date Range: Helps refine backtesting for specific market conditions or to avoid known irregular data periods. How to Use Add the Script to Your Chart • In TradingView, open Indicators , search for “Multi-indicator Signal Builder” . • Click to add it to your chart. Configure Inputs • Time Filter: Set a start and end date for trades. • Alerts Messages: Input any JSON or text payload needed by your external service or bot. • Entry Conditions: Enable and configure any indicators (e.g., RSI, MACD) for a confluence-based entry. • Close Conditions: Enable exit indicators, along with optional SL (negative %) and TP (positive %) levels. Set Up Alerts • In TradingView, select “Create Alert” → Condition = “Any alert() function call” → choose this script. • Entry Alert: Triggers on the script’s entry signal. • Close Alert: Triggers on the script’s close signal (or if SL/TP is hit). • Skyrexio Alert Bots: You can route these alerts via webhook to Skyrexio alert bots to automate order execution on major crypto exchanges (or any other supported broker). Visual Reference • A condition table at the bottom summarizes active signals. • Statistics Label updates automatically as trades are closed, showing PnL stats and distribution metrics. Backtesting Guidelines Symbol/Timeframe: Works on multiple assets and timeframes; always do thorough testing. Realistic Costs: Adjust commissions and potential slippage to match typical exchange conditions. Risk Management: If using the built-in stop-loss/take-profit, set percentages that reflect your personal risk tolerance. Longer Test Horizons: Verify performance across diverse market cycles to gauge reliability. Example of statistic calculation Test Period: 2023-01-01 to 2025-12-31 Initial Capital: $1,000 Commission: 0.1%, Slippage ~5 ticks Trade Count: 680 (varies by strategy conditions) Win rate: 75.44% (varies by strategy conditions) Net Profit: +90.14% (varies by strategy conditions) Disclaimer This indicator is provided strictly for informational and educational purposes. It does not constitute financial or trading advice. Past performance never guarantees future results. Always test thoroughly in demo environments before using real capital. Enjoy exploring the Multi-Indicator Signal Builder! Experiment with different indicator combinations and adjust parameters to align with your trading preferences, whether you trade manually or link your alerts to external automation services. Happy trading and stay safe!
Chỉ báo Pine Script®
của Skyrexio
Quantum Reversal Detector [JOAT] Quantum Reversal Detector - Multi-Factor Reversal Probability Analysis Introduction and Purpose Quantum Reversal Detector is an open-source overlay indicator that combines multiple reversal detection methods into a unified probability-based framework. The core problem this indicator addresses is the unreliability of single-factor reversal signals. A price touching support means nothing without momentum confirmation; an RSI oversold reading means nothing without price structure context. This indicator solves that by requiring multiple independent factors to align before generating reversal signals, then expressing the result as a probability score rather than a binary signal. Why These Components Work Together The indicator combines five analytical approaches, each addressing a different aspect of reversal detection: 1. RSI Extremes - Identifies momentum exhaustion (overbought/oversold) 2. MACD Crossovers - Confirms momentum direction change 3. Support/Resistance Proximity - Ensures price is at a significant level 4. Multi-Depth Momentum - Analyzes momentum across multiple timeframes 5. Statistical Probability - Quantifies reversal likelihood using Bayesian updating These components are not randomly combined. Each filter catches reversals that others miss: RSI catches momentum exhaustion but misses structural reversals MACD catches momentum shifts but lags price action S/R proximity catches structural levels but ignores momentum Multi-depth momentum catches divergences across timeframes Probability scoring combines all factors into actionable confidence levels How the Detection System Works Step 1: Pattern Detection The indicator first identifies potential reversal conditions: // Check if price is at support/resistance float lowestLow = ta.lowest(low, period) float highestHigh = ta.highest(high, period) bool atSupport = low <= lowestLow * 1.002 bool atResistance = high >= highestHigh * 0.998 // Check RSI conditions float rsi = ta.rsi(close, 14) bool oversold = rsi < 30 bool overbought = rsi > 70 // Check MACD crossover float macd = ta.ema(close, 12) - ta.ema(close, 26) float signal = ta.ema(macd, 9) bool macdBullish = ta.crossover(macd, signal) bool macdBearish = ta.crossunder(macd, signal) // Combine for reversal detection if atSupport and oversold and macdBullish bullishReversal := true Step 2: Multi-Depth Momentum Analysis The indicator calculates momentum across multiple periods to detect divergences: calculateQuantumMomentum(series float price, simple int period, simple int depth) => float totalMomentum = 0.0 for i = 0 to depth - 1 int currentPeriod = period * (i + 1) float momentum = ta.roc(price, currentPeriod) totalMomentum += momentum totalMomentum / depth This creates a composite momentum reading that smooths out noise while preserving genuine momentum shifts. Step 3: Bayesian Probability Calculation The indicator uses Bayesian updating to calculate reversal probability: bayesianProbability(series float priorProb, series float likelihood, series float evidence) => float posterior = evidence > 0 ? (likelihood * priorProb) / evidence : priorProb math.min(math.max(posterior, 0.0), 1.0) The prior probability starts at 50% and updates based on: RSI extreme readings increase likelihood MACD crossovers increase likelihood S/R proximity increases likelihood Momentum divergence increases likelihood Step 4: Confidence Intervals Using Monte Carlo simulation concepts, the indicator estimates price distribution: monteCarloSimulation(series float price, series float volatility, simple int iterations) => float sumPrice = 0.0 float sumSqDiff = 0.0 for i = 0 to iterations - 1 float randomFactor = (i % 10 - 5) / 10.0 float simulatedPrice = price + volatility * randomFactor sumPrice += simulatedPrice float avgPrice = sumPrice / iterations // Calculate standard deviation for confidence intervals This provides 95% and 99% confidence bands around the current price. Signal Classification Signals are classified by confirmation level: Confirmed Reversal : Pattern detected for N consecutive bars (default 3) High Probability : Confirmed + Bayesian probability > 70% Ultra High Probability : High probability + PDF above average Dashboard Information The dashboard displays: Bayesian Probability - Updated reversal probability (0-100%) Quantum Momentum - Multi-depth momentum average RSI - Current RSI value with overbought/oversold status Volatility - Current ATR as percentage of price Reversal Signal - BULLISH, BEARISH, or NONE Divergence - Momentum divergence detection MACD - Current MACD histogram value S/R Zone - AT SUPPORT, AT RESISTANCE, or NEUTRAL 95% Confidence - Price range with 95% probability Bull/Bear Targets - ATR-based reversal targets Visual Elements Quantum Bands - ATR-based upper and lower channels Probability Field - Circle layers showing probability distribution Confidence Bands - 95% and 99% confidence interval circles Reversal Labels - REV markers at confirmed reversals High Probability Markers - Star diamonds at high probability setups Reversal Zones - Boxes around confirmed reversal areas Divergence Markers - Triangles at momentum divergences How to Use This Indicator For Reversal Trading: 1. Wait for Bayesian Probability to exceed 70% 2. Confirm price is at S/R zone (dashboard shows AT SUPPORT or AT RESISTANCE) 3. Check that RSI is in extreme territory (oversold for longs, overbought for shorts) 4. Enter when REV label appears with high probability marker For Risk Management: 1. Use the 95% confidence band as a stop-loss reference 2. Use Bull/Bear Targets for take-profit levels 3. Higher probability readings warrant larger position sizes For Filtering False Signals: 1. Increase Confirmation Bars to require more consecutive signals 2. Only trade when probability exceeds 70% 3. Require divergence confirmation for highest conviction Input Parameters Reversal Period (21) - Lookback for S/R and momentum calculations Quantum Depth (5) - Number of momentum layers for multi-depth analysis Confirmation Bars (3) - Consecutive bars required for confirmation Detection Sensitivity (1.2) - Band width and target multiplier Bayesian Probability (true) - Enable probability calculation Monte Carlo Simulation (true) - Enable confidence interval calculation Normal Distribution (true) - Enable PDF calculation Confidence Intervals (true) - Enable confidence bands Timeframe Recommendations 1H-4H: Best for swing trading reversals Daily: Fewer but more significant reversal signals 15m-30m: More signals, requires higher probability threshold Limitations Statistical concepts are simplified implementations for Pine Script Monte Carlo uses deterministic pseudo-random factors, not true randomness Bayesian probability uses simplified prior/likelihood model Reversal detection does not guarantee actual reversals will occur Confirmation bars add lag to signal generation Open-Source and Disclaimer This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. The source code is fully visible and can be studied to understand how each component works. This indicator does not constitute financial advice. Reversal detection is probabilistic, not predictive. The probability scores represent statistical likelihood based on historical patterns, not guaranteed outcomes. Past performance does not guarantee future results. Always use proper risk management, position sizing, and stop-losses. - Made with passion by officialjackofalltrades
Chỉ báo Pine Script®
của officialjackofalltrades
Adaptive Bull Ratio Strategy█ Overview: Why This Strategy Most option strategies fall into two traps: They are too rigid: A "Call Ratio Spread" works great in slow markets but gets destroyed if the market rallies hard. They are too simple: A simple "Buy Call" suffers from time decay (Theta) if the market chops sideways. The Adaptive Bull Ratio Strategy solves both . It is a living strategy that "shifts gears" based on price action. It is called "Adaptive" because it morphs its structure three times during a trade. It starts conservative to harvest Time Decay, but if the market explodes upwards, it "uncaps" itself to ride the trend aggressively. █ The Entry Philosophy: Why Supertrend? The default setting uses the Supertrend indicator as the trigger. This is intentional: Volatility Awareness: Supertrend adapts to market noise using ATR. In high volatility, bands widen to prevent false entries. Trend Confirmation: Since Phase 1 involves selling options, entering "too early" against a falling market is dangerous. Supertrend forces patience, waiting for a confirmed reversal (Close > Trend Line), ensuring the momentum is actually in your favor before you commit capital. The "Drift" Benefit: This strategy excels in markets that "drift" upwards. Supertrend identifies these trends while filtering out short-term chop. Flexibility with External Sources: While Supertrend is the default, the strategy is designed to be flexible. You can enable the 'Enable External Source' option in the settings to plug in any custom indicator (e.g., Moving Averages, Parabolic SAR, or a proprietary trendline). The Golden Rule for External Sources: The script interprets a Bullish Signal whenever your External Source line is below the Close price (Ext Source < Close). Compatibility: As long as your custom indicator behaves like a support line in an uptrend (plotting below the candles), it will work seamlessly with this strategy's logic. █ The "Long Only" Rationale: Avoiding the Volatility Trap Why not trade this on the short side (Puts) during crashes? The Volatility Trap (Vega Risk): In Bull markets, Implied Volatility (IV) usually drops, helping your sold options decay faster. In Bear markets, IV explodes (panic). Selling OTM Puts during a crash is dangerous as their value skyrockets, neutralizing gains. Velocity Risk: Bear markets crash fast ("Elevator Down"). Prices can blow through adjustment levels faster than the strategy can safely roll down, causing slippage. Structural Skew: OTM Puts are inherently more expensive. Buying expensive ITM Puts and selling expensive OTM Puts shifts the breakeven further away, making V-shape recoveries painful. █ How It Works & Stands Out This strategy actively transforms risk profiles based on market movement: Phase 1: The "Safe" Start (Entry) Setup: Initiates a Call Ratio Spread (Buy 2 ITM, Sell 4 OTM) + Protective Puts. Logic: Profits from sideways drift or slow rallies via Time Decay (Theta). The sold options finance the trade. Phase 2: The "Shift" (Adjustment Level 1) Trigger: Market moves above Leg 2 (3 OTM Call). Action: Rolls Up the position. Exits initial legs, enters new higher legs, and adds a Short Put to finance the roll. Impact: Aggressive. You bet the trend is strong enough to support the added downside risk of the short put. Phase 3: The "Uncap" (Adjustment Level 2) Trigger: Market moves above Leg 3 (4 OTM Call). Action: Exits all Sold Calls. Impact: Uncaps profit potential. The trade becomes a Net Long position (Long Calls + Short Puts), allowing you to ride a massive rally without a ceiling. Phase 4: The "Lock-In" (Optional Trail Adjustment) Trigger: The market goes parabolic (price rises X levels above Leg 3, configurable in settings). Action (If Enabled): Call Adj: Exits the Phase 3 calls and buys fresh 1-OTM calls (Rolling Up to lock profits). Put Adj: Exits all Put legs (Removing downside risk completely). Impact: Maximum Safety. This phase is about "banking" the windfall from a massive rally and leaving a smaller, risk-free runner to capture any final extension. █ How to Start: A Quick Setup Guide Step 1: Map Expiry Dates Manually input your trading expiry dates in Settings -> Expiry Management. Format: YYYY-MM-DD (e.g., 2025-12-25). Strict adherence required for DhanHQ. Step 2: Configure Symbol & Size Exchange/Symbol: Enter NSE and NIFTY (or your ticker). Lot Multiplier: Default is 1. Set to 2 to double all quantities (e.g., Buy 2 becomes Buy 4). Step 3: Understand Visuals Entry Window (Light Blue): Strategy is scanning for new trades. Non-Entry Window (Dark Blue): Trading blocked (Day before Expiry & Expiry Day). Only management allowed. Green Box: Valid Late Entry Zone. Red Dashed Line: Invalidation Level (if price touches this, no late entry). Fuchsia Line: Trigger level for Special Trail Adjustments (Phase 4). IMPORTANT: Broker & Technology Heads-Up: The alerts generated by this script ({"secret": "...", "alertType": "multi_leg_order"...}) are specifically formatted for the DhanHQ webhook structure. Dhan Users: Plug-and-play. Other Brokers: You need middleware (NextLevelBot, Quantiply) to parse the JSON. █ Risk Disclaimer & Advice Trading options involves substantial risk. The Whipsaw Risk: In Phase 2, you are Long Calls and Short Puts. A sharp reversal causes losses on both sides. Margin: Selling options requires significant margin. Keep a 15-20% cash buffer to handle adjustments instantly. Testing: This strategy is optimized for NIFTY Weekly Options. Effectiveness on BankNifty or Stocks is untested and may require parameter tuning. Advice: Backtest: Use TradingView Replay. Paper Trade: Run for at least one expiry cycle before live deployment. Consult: Seek professional financial advice before trading. Practical Tips for Smooth Execution For a new trader deploying this system, these operational tips are vital: Capital Buffer: Do not trade at your limit. Always keep 10-15% free cash in your broker account. Adjustments (specifically Phase 2, where you sell an extra Put) require additional margin instantly. If margin is short, the order fails, and your hedge breaks. Liquidity Awareness : The script trades "Far Deep OTM" options (Leg 4) to reduce margin. On indices like Nifty/BankNifty, this is fine. On individual stocks, these deep strikes might be illiquid. Check the option chain volume before deploying on stocks. Trust the Process (but Verify) : While the algo drives, you are the pilot. Check your API connection every morning. Ensure the "Entry Window" background color on the chart matches your real-world date. Verify that your broker executed all legs of a multi-leg order (partial fills are rare but possible). The "Human" Stop: If major news breaks (e.g., unexpected election results, war announcements), volatility can expand faster than any algo can react. It is acceptable—and smart—to pause the strategy during known "Black Swan" events or earnings releases. █ Timeframe Selection: The 30-Minute Standard Critical Requirement: This indicator must be applied to a 30-minute chart. Why? Noise Filtering: The Supertrend logic is tuned to capture multi-day trends. Lower timeframes (5m, 15m) are full of "noise"—random fluctuations that look like trend changes but aren't. Execution Logic (The Hybrid Engine): The script has a built-in "Dual Timeframe" architecture. Decision Layer (30m): Uses the chart timeframe to decide when to be Bullish or Bearish. Execution Layer (5m): Internally fetches 5-minute data to manage the how (Adjustments, Late Entries, and precise invalidation). The Risk of Lower Timeframes: If you run the main chart on 5-minutes, you destroy this hierarchy. You will get too many signals, pay too much brokerage, and the internal logic may behave erratically. Recommendation: Always keep your TradingView chart interval at 30m. Do not switch to lower timeframes expecting "faster" signals; you will likely just get "false" signals. █ Testing Scope, Feedback ⚠️ Important Note on Asset Classes: This strategy logic and the associated strike step calculations have been rigorously tested ONLY on NIFTY Index Options with Weekly Expiry. BankNifty / Sensex / FinNifty: The volatility characteristics (ATR) and strike intervals of these instruments differ significantly from NIFTY. The effectiveness of this strategy on these other scripts has not been verified and may require different parameter tuning (e.g., strike_step or ATR Length). Stocks: Individual stock options often lack the liquidity required for the "Deep OTM" legs, leading to potential execution failures. We encourage traders to backtest this logic on other indices and share their findings! If you find a robust parameter set for BankNifty or observe unique behaviors on other scripts, please let us know in the comments below so we can improve the algorithm for everyone. Your feedback is appriciated.
Chỉ báo Pine Script®
của TradeWiseWithEase
4
Max Pain Options [QuantLabs] v5 (Balanced)Institutional Grade Options Analysis: Max Pain, Gamma & Pin Risk For years, TradingView users have been flying blind without access to Options Chain data. QuantLabs: Max Pain & Gamma Exposure changes that. This is not just a support/resistance indicator—it is a sophisticated, algorithmic model that reverse-engineers the incentives of Market Makers using synthetic Black-Scholes logic. This tool visualizes the "invisible hand" of the market: the hedging requirements of large dealers who are forced to buy or sell to keep their books neutral. CORE FEATURES: 🔴 Max Pain Gravity Model The bright red line represents the "Max Pain" strike—the price level where the maximum amount of Options Open Interest (Calls + Puts) expires worthless. Theory: As OpEx (Expiration) approaches, Market Makers maximize profits by pinning the price to this level. Strategy: Use this as a mean-reversion target. If price is far away, look for a snap-back to the red line. 🟣 Gamma Exposure Profiles (The Purple Lines) These neon histograms show you the estimated "Gamma Walls." Long Gamma: Dealers trade against the trend (stabilizing price). Short Gamma: Dealers trade with the trend (accelerating volatility). Visual: The larger the purple bar, the harder it will be for price to break through that level. 📦 Algorithmic "Pin Risk" Zones The dashed red box highlights the "Kill Zone." When price enters this area near expiration, volatility often dies as dealers pin the asset to kill retail premiums. Warning: Do not expect breakouts while inside the Pin Zone. 📊 Institutional HUD A clean, non-intrusive dashboard provides real-time Greeks and risk analysis: Pin Risk: High/Medium/Low probability of a pinned close. Exp Mode: Detects if the market is in "Short Gamma" (Squeeze territory) or "Long Gamma" (Chop territory). HOW IT WORKS (The Math): Since live options data is not available via Pine Script, this engine uses a proprietary Synthetic OI Distribution Model. It inputs Volume, Volatility (IV), and Time-to-Expiry into a modified Black-Scholes equation to probability-map where the heavy open interest likely sits. SETTINGS & CUSTOMIZATION: Responsiveness: Tuned for the "Goldilocks Zone" (Spread: 12, Decay: 22) to catch local liquidity walls without over-fitting. Visuals: Designed for Dark Mode. High-contrast Neon aesthetics for maximum readability.
Chỉ báo Pine Script®
của CustomQuantLabs
4
Standard Deviation Vidya Moving Average | QuantLapseStandard Deviation Vidya MA by QuantLapse Overview The Standard Deviation Vidya MA indicator by QuantLapse is an dynamic and unique trend-following tool that leverages Variable Index Dynamic Average (VIDYA) along with a statistical measure of standard deviation to assess trend strength, direction and volatility. By utilizing adaptive smoothing and volatility adjustment this indicator provides a more responsive and robust signal framework for traders. ______ Technical Composition, Calculation, Key Components & Features 📌 VIDYA (Variable Index Dynamic Average) An adaptive moving average that automatically adjusts its sensitivity based on prevailing market volatility. Employs a volatility-weighted smoothing constant derived from standard deviation ratios, allowing the average to respond faster during high-momentum phases and slow down during consolidation. Reduces lag during trend expansion while suppressing noise in low-volatility environments. Provides clearer trend structure and regime awareness compared to fixed-length moving averages. Serves as a dynamic baseline for volatility envelopes and trend-state classification within the system. 📌 Volatility Adjustment – Standard Deviation The system constructs a volatility-adaptive envelope around the VIDYA baseline using standard deviation, allowing band width to expand and contract dynamically with changing market conditions. VIDYA’s smoothing factor is adjusted by comparing short-term and longer-term standard deviation, increasing responsiveness during volatility expansion and dampening noise during compression. Upper and lower bands are calculated by applying a configurable standard deviation multiplier to the VIDYA value, creating a proportional volatility boundary rather than a fixed offset. Price movement beyond these bands confirms volatility-supported momentum, while price contained within the bands signals consolidation or transitional phases. 📌 Trend Signal Calculation A bullish trend state is triggered when price closes above the upper standard deviation band, indicating sustained upward momentum with volatility confirmation. A bearish trend state is triggered when price closes below the lower band, confirming downside momentum under expanding volatility. Once established, the trend state persists until an opposing volatility break occurs, reducing whipsaw and improving regime stability. Trend direction is visually reinforced through dynamic color-coding of the VIDYA line and its envelope, providing immediate directional context at a glance. ______ How It Works in Trading ✅ Trend Strength Detection – Evaluates cumulative price movement over a defined window to assess directional conviction. ✅ Noise Reduction – Applies adaptive smoothing techniques to minimize whipsaws during choppy conditions. ✅ Dynamic Thresholding – Utilizes volatility-aware bands to define customizable trend continuation and invalidation levels. ✅ Color-Coded Visualization – Enhances chart readability by clearly distinguishing bullish, bearish, and neutral states. ______ Visual Representation Trend Signals on Moving Average and Background Color: 🟢 Green/Teal Moving Average – Strong Uptrend 🔴 Red/Pink Candles – Strong Downtrend ✅ Long & Short Labels can be turned on or off for trade signal clarity. 📊 Display of entry & exit points based on entry and exit criteria's. 📊 Display of Indicators equity and buy and hold equity to compare performance. ______ Features and User Inputs The Standard Deviation Vidya MA framework incorporates a flexible set of user-defined inputs designed to balance adaptability, clarity, and analytical control. VIDYA Configuration – Customize the Variable Index Dynamic Average length and price source to control trend responsiveness based on volatility-adjusted smoothing. Volatility & Deviation Controls – Adjust standard deviation lookback periods and multipliers to fine-tune adaptive upper and lower thresholds used for trend qualification. Backtesting & Date Filters – Define a start date for historical evaluation and enable range filtering to analyze performance during specific market periods. Display & Visualization Options – Toggle labels, equity curves, and visual overlays to tailor the chart presentation to personal trading preferences. Color Customization – Fully configurable buy/sell colors for both trend signals and equity curves, allowing intuitive visual differentiation between bullish and bearish phases. ______ Practical Applications The Standard Deviation VIDYA MA is designed for traders seeking an adaptive trend-following framework that dynamically responds to changing market volatility. By combining VIDYA’s volatility-sensitive smoothing with standard deviation–based thresholds, the indicator offers a robust approach to directional analysis across multiple market conditions. Key applications include: Adaptive Trend Identification – Detect sustained bullish and bearish trends using a volatility-adjusted moving average that automatically accelerates or slows based on market activity. Volatility-Aware Entry & Exit Signals – Utilize standard deviation bands to define dynamic breakout and invalidation zones, helping reduce false signals during low-volatility consolidation phases. Noise-Filtered Trend Participation – Avoid whipsaws by requiring price expansion beyond adaptive deviation thresholds before confirming trend direction. Systematic Backtesting & Evaluation – Analyze historical trend performance using built-in equity curves and date filters to assess effectiveness across different market regimes. Visual Trend Confirmation – Leverage color-coded VIDYA lines, deviation zones, and optional labels to clearly interpret trend state and momentum strength in real time. This framework bridges volatility analysis with adaptive trend logic, providing a disciplined and data-driven method for trend participation while maintaining clarity and interpretability in live trading environments. ______ Conclusion The Standard Deviation VIDYA MA by QuantLapse represents a modern evolution of adaptive trend analysis, blending volatility-weighted smoothing with statistically driven deviation thresholds. By integrating VIDYA’s responsiveness with standard deviation-based confirmation, the system delivers clearer trend structure, reduced noise, and more reliable directional context across varying market regimes. This indicator is particularly well-suited for traders who value adaptability, clarity, and rule-based decision-making over static moving average techniques. 🔹 Who should use Standard Deviation VIDYA MA: 📊 Trend-Following Traders – Identify and stay aligned with sustained directional moves while avoiding premature reversals. ⚡ Momentum Traders – Capture volatility-supported expansions when price breaks beyond adaptive deviation bands. 🤖 Systematic & Algorithmic Traders – Ideal as a volatility-aware trend filter for rule-based entries, exits, and portfolio frameworks. 🔹 Disclaimer: Past performance does not guarantee future results. All trading involves risk, and no indicator or methodology can ensure profitability. 🔹 Strategic Advice: Always backtest thoroughly, optimize parameters responsibly, and align settings with your personal risk tolerance, timeframe, and market conditions before deploying the indicator in live trading.
Chỉ báo Pine Script®
của QuantLapse
Selected Days Indicator V3-TrDoes the stock drop every Wednesday? Do March months always move similarly? Does the 1st week of the month behave differently? Do you ever say "it always makes this move in these months"? Don't you want to see more clearly whether it actually makes this move or not? Don't you want to see and test periodically repeating price patterns? Hisse her Çarşamba düşüyor mu? Mart ayları hep benzer mi hareket ediyor? Ayın 1. haftası farklı mı davranıyor? Bazen "bu aylarda hep bu hareketi yapıyor" dediğiniz oluyor mu? Gerçekten de bu hareketi yapıp yapmadığını daha net görmek istemez misiniz? Periyodik tekrarlayan fiyat kalıplarını görmek ve test etmek istemiyor musunuz? 1. Problem Some stocks or crypto assets exhibit systematic behaviors on certain days, weeks, or months. But it's hard to see - everything is mixed together on the chart. This indicator isolates the days/weeks/months you want and shows only them. Hides everything else. 2. How It Works Three-layer filter: Day (Monday, Tuesday...), Week (1st, 2nd, 3rd week of the month), Month (January, February...). Select what you want, let the rest disappear. Example: Show only Thursdays of March-June-September. Or compare every 1st week of the month. View as candlestick, line, or column chart. 3. What's It Good For? Test "end-of-month effect". Find "day-of-the-week anomaly". Analyze crypto volatility by days. See seasonality in commodities. Discover patterns specific to your own strategy. Past data doesn't guarantee the future but provides statistical advantage.
Chỉ báo Pine Script®
của ExperiMentalist
Volatility Targeting: Single Asset [BackQuant]Volatility Targeting: Single Asset An educational example that demonstrates how volatility targeting can scale exposure up or down on one symbol, then applies a simple EMA cross for long or short direction and a higher timeframe style regime filter to gate risk. It builds a synthetic equity curve and compares it to buy and hold and a benchmark. Important disclaimer This script is a concept and education example only . It is not a complete trading system and it is not meant for live execution. It does not model many real world constraints, and its equity curve is only a simplified simulation. If you want to trade any idea like this, you need a proper strategy() implementation, realistic execution assumptions, and robust backtesting with out of sample validation. Single asset vs the full portfolio concept This indicator is the single asset, long short version of the broader volatility targeted momentum portfolio concept. The original multi asset concept and full portfolio implementation is here: That portfolio script is about allocating across multiple assets with a portfolio view. This script is intentionally simpler and focuses on one symbol so you can clearly see how volatility targeting behaves, how the scaling interacts with trend direction, and what an equity curve comparison looks like. What this indicator is trying to demonstrate Volatility targeting is a risk scaling framework. The core idea is simple: If realized volatility is low relative to a target, you can scale position size up so the strategy behaves like it has a stable risk budget. If realized volatility is high relative to a target, you scale down to avoid getting blown around by the market. Instead of always being 1x long or 1x short, exposure becomes dynamic. This is often used in risk parity style systems, trend following overlays, and volatility controlled products. This script combines that risk scaling with a simple trend direction model: Fast and slow EMA cross determines whether the strategy is long or short. A second, longer EMA cross acts as a regime filter that decides whether the system is ACTIVE or effectively in CASH. An equity curve is built from the scaled returns so you can visualize how the framework behaves across regimes. How the logic works step by step 1) Returns and simple momentum The script uses log returns for the base return stream: ret = log(price / price ) It also computes a simple momentum value: mom = price / price - 1 In this version, momentum is mainly informational since the directional signal is the EMA cross. The lookback input is shared with volatility estimation to keep the concept compact. 2) Realized volatility estimation Realized volatility is estimated as the standard deviation of returns over the lookback window, then annualized: vol = stdev(ret, lookback) * sqrt(tradingdays) The Trading Days/Year input controls annualization: 252 is typical for traditional markets. 365 is typical for crypto since it trades daily. 3) Volatility targeting multiplier Once realized vol is estimated, the script computes a scaling factor that tries to push realized volatility toward the target: volMult = targetVol / vol This is then clamped into a reasonable range: Minimum 0.1 so exposure never goes to zero just because vol spikes. Maximum 5.0 so exposure is not allowed to lever infinitely during ultra low volatility periods. This clamp is one of the most important “sanity rails” in any volatility targeted system. Without it, very low volatility regimes can create unrealistic leverage. 4) Scaled return stream The per bar return used for the equity curve is the raw return multiplied by the volatility multiplier: sr = ret * volMult Think of this as the return you would have earned if you scaled exposure to match the volatility budget. 5) Long short direction via EMA cross Direction is determined by a fast and slow EMA cross on price: If fast EMA is above slow EMA, direction is long. If fast EMA is below slow EMA, direction is short. This produces dir as either +1 or -1. The scaled return stream is then signed by direction: avgRet = dir * sr So the strategy return is volatility targeted and directionally flipped depending on trend. 6) Regime filter: ACTIVE vs CASH A second EMA pair acts as a top level regime filter: If fast regime EMA is above slow regime EMA, the system is ACTIVE. If fast regime EMA is below slow regime EMA, the system is considered CASH, meaning it does not compound equity. This is designed to reduce participation in long bear phases or low quality environments, depending on how you set the regime lengths. By default it is a classic 50 and 200 EMA cross structure. Important detail, the script applies regime_filter when compounding equity, meaning it uses the prior bar regime state to avoid ambiguous same bar updates. 7) Equity curve construction The script builds a synthetic equity curve starting from Initial Capital after Start Date . Each bar: If regime was ACTIVE on the previous bar, equity compounds by (1 + netRet). If regime was CASH, equity stays flat. Fees are modeled very simply as a per bar penalty on returns: netRet = avgRet - (fee_rate * avgRet) This is not realistic execution modeling, it is just a simple turnover penalty knob to show how friction can reduce compounded performance. Real backtesting should model trade based costs, spreads, funding, and slippage. Benchmark and buy and hold comparison The script pulls a benchmark symbol via request.security and builds a buy and hold equity curve starting from the same date and initial capital. The buy and hold curve is based on benchmark price appreciation, not the strategy’s asset price, so you can compare: Strategy equity on the chart symbol. Buy and hold equity for the selected benchmark instrument. By default the benchmark is TVC:SPX, but you can set it to anything, for crypto you might set it to BTC, or a sector index, or a dominance proxy depending on your study. What it plots If enabled, the indicator plots: Strategy Equity as a line, colored by recent direction of equity change, using Positive Equity Color and Negative Equity Color . Buy and Hold Equity for the chosen benchmark as a line. Optional labels that tag each curve on the right side of the chart. This makes it easy to visually see when volatility targeting and regime gating change the shape of the equity curve relative to a simple passive hold. Metrics table explained If Show Metrics Table is enabled, a table is built and populated with common performance statistics based on the simulated daily returns of the strategy equity curve after the start date. These include: Net Profit (%) total return relative to initial capital. Max DD (%) maximum drawdown computed from equity peaks, stored over time. Win Rate percent of positive return bars. Annual Mean Returns (% p/y) mean daily return annualized. Annual Stdev Returns (% p/y) volatility of daily returns annualized. Variance of annualized returns. Sortino Ratio annualized return divided by downside deviation, using negative return stdev. Sharpe Ratio risk adjusted return using the risk free rate input. Omega Ratio positive return sum divided by negative return sum. Gain to Pain total return sum divided by absolute loss sum. CAGR (% p/y) compounded annual growth rate based on time since start date. Portfolio Alpha (% p/y) alpha versus benchmark using beta and the benchmark mean. Portfolio Beta covariance of strategy returns with benchmark returns divided by benchmark variance. Skewness of Returns actually the script computes a conditional value based on the lower 5 percent tail of returns, so it behaves more like a simple CVaR style tail loss estimate than classic skewness. Important note, these are calculated from the synthetic equity stream in an indicator context. They are useful for concept exploration, but they are not a substitute for professional backtesting where trade timing, fills, funding, and leverage constraints are accurately represented. How to interpret the system conceptually Vol targeting effect When volatility rises, volMult falls, so the strategy de risks and the equity curve typically becomes smoother. When volatility compresses, volMult rises, so the system takes more exposure and tries to maintain a stable risk budget. This is why volatility targeting is often used as a “risk equalizer”, it can reduce the “biggest drawdowns happen only because vol expanded” problem, at the cost of potentially under participating in explosive upside if volatility rises during a trend. Long short directional effect Because direction is an EMA cross: In strong trends, the direction stays stable and the scaled return stream compounds in that trend direction. In choppy ranges, the EMA cross can flip and create whipsaws, which is where fees and regime filtering matter most. Regime filter effect The 50 and 200 style filter tries to: Keep the system active in sustained up regimes. Reduce exposure during long down regimes or extended weakness. It will always be late at turning points, by design. It is a slow filter meant to reduce deep participation, not to catch bottoms. Common applications This script is mainly for understanding and research, but conceptually, volatility targeting overlays are used for: Risk budgeting normalize risk so your exposure is not accidentally huge in high vol regimes. System comparison see how a simple trend model behaves with and without vol scaling. Parameter exploration test how target volatility, lookback length, and regime lengths change the shape of equity and drawdowns. Framework building as a reference blueprint before implementing a proper strategy() version with trade based execution logic. Tuning guidance Lookback lower values react faster to vol shifts but can create unstable scaling, higher values smooth scaling but react slower to regime changes. Target volatility higher targets increase exposure and drawdown potential, lower targets reduce exposure and usually lower drawdowns, but can under perform in strong trends. Signal EMAs tighter EMAs increase trade frequency, wider EMAs reduce churn but react slower. Regime EMAs slower regime filters reduce false toggles but will miss early trend transitions. Fees if you crank this up you will see how sensitive higher turnover parameter sets are to friction. Final note This is a compact educational demonstration of a volatility targeted, long short single asset framework with a regime gate and a synthetic equity curve. If you want a production ready implementation, the correct next step is to convert this concept into a strategy() script, add realistic execution and cost modeling, test across multiple timeframes and market regimes, and validate out of sample before making any decision based on the results.
Chỉ báo Pine Script®
của BackQuant
2
Vega Convexity Engine [PRO]ENGINEERED ASYMMETRY. This is the flagship Stage 2 Specialist Model of the Vega Crypto Strategies ecosystem. While the free "Regime Filter" tells you when to trade (filtering out chop), the Convexity Engine tells you how to trade. It activates only when the Regime Filter confirms an Impulse, classifying the specific vector of the market move to maximize risk-adjusted returns. PRO FEATURES This script visualizes the output of our Hierarchical Machine Learning Engine: 🚀 Directional Classification: It does not just say "Buy." It classifies volatility into 4 distinct probability classes: - EXPLOSION: High-confidence, high-velocity upside (Fat-Tail). - RALLY: Standard trend continuation. - PULLBACK: Short-term correction opportunity. - CRASH: High-confidence downside (Long Squeeze Detection). 🛡️ Dynamic Risk Engine (Intraday Stops): The "+" markers on your chart represent the Vega Institutional Stop Loss . These levels dynamically adjust based on Average True Range (ATR) and Volatility Z-Scores. Strategy: If price breaches the "+" marker, the hypothesis is invalidated. Exit immediately. 📊 Institutional HUD: A professional heads-up display showing the current Regime, Vector, and Risk Deployment status in real-time. THE PHILOSOPHY "Convexity" means limited downside with unlimited upside. By combining the Regime Filter (sitting in cash during noise) with Dynamic Stops (cutting losers fast), this engine is designed to capture the "fat tails" of the crypto market distribution. 🔒 HOW TO GET ACCESS This is an Invite-Only script. It is strictly for members of Vega Crypto Strategies . To unlock access, please visit the link in the Author Profile below or check our signature. Once subscribed via Whop, your TradingView username will be automatically authorized instantly. Disclaimer: This tool is for educational purposes only. Past performance is not indicative of future results. Trading cryptocurrencies involves significant risk.
Chỉ báo Pine Script®
của VegaCryptoStrategies
One Candle 5min Retest Strategy🚀 One Candle 5min Retest Strategy (OCRS) – Your Morning on Autopilot Less drawing, more trading. Sick of drawing the opening range manually every single morning? Or catching yourself FOMOing into trades before the candle even closes? The OCRS Indicator automates the heavy lifting for the "First Candle" / "One Candle Retest" strategy (Scarface Trades style). It’s basically a tool to keep you honest and save you time. 🧠 Why use it? Forced Patience: The range lines stay PURPLE while the first 5 minutes are playing out. That’s your sign to chill and wait. No early entries. Instant Levels: Once the range closes, the lines snap to BLUE (High) and ORANGE (Low) . You see the levels immediately. The "Zone" Finder: If price breaks out, the script finds the specific Order Block for you (the last contrary candle before the move) and draws the retest box. Bullish Breakout? Catches the last red candle. Bearish Breakout? Catches the last green candle. No Confusion: Markets are messy. If price fakes a pump and then dumps, the indicator keeps the old zone and draws the new one. You see exactly what's happening. 🛠️ The Good Stuff: Set and Forget: Auto-syncs to NY Open (09:30 EST). Works on any timeframe. Clean Charts: Lines only run for 90 minutes. No clutter for the rest of the day. Day Separator: A simple vertical line marks the next session. Perfect for backtesting —you know exactly when to hit pause before the next open. No Wicks: Boxes only paint when the candle actually closes outside the range. Zero fakeouts. Your Style: Turn boxes on/off or change colors to match your vibe. 🎯 How to trade it: Chill for the first 5 minutes (09:30 - 09:35 NY). Purple lines = hands off. Watch for the break. Candle CLOSES above Blue? Wait for the Blue Box . Candle CLOSES below Orange? Wait for the Orange Box . The Setup: Wait for price to tap back into the box. Entry: Find your confirmation inside that zone and take the trade. Keep your morning simple. Install OCRS and trade with clarity. Note: This is just a tool to help with the strategy. Risk management is still on you.
Chỉ báo Pine Script®
của careful_Llama75o9j
2
Market Structure Pivots with BOS & CHoCH [zazenio]What is Market Structure? Market structure is simply the pattern of highs and lows that price creates as it moves. When you look at any chart, you'll notice price doesn't move in a straight line — it swings up, pulls back, swings up again (in an uptrend), or the opposite in a downtrend. These swing points — the peaks and valleys — are what traders call pivots . Identifying them correctly is the foundation of understanding where a market has been and where it might go next. What This Indicator Does Swing Pivots automatically marks these peaks and valleys on your chart so you don't have to draw them manually. It works on any market — stocks, crypto, forex, futures, indices — and on any timeframe. Beyond just marking pivots, this indicator also draws BOS (Break of Structure) and CHoCH (Change of Character) lines — two essential concepts that help you understand when a trend is continuing or potentially reversing. How Pivots Are Detected This indicator confirms pivots based on price structure, not a fixed bar count. Here's how it works: A swing high is confirmed when price breaks below the previous swing low. At that moment, we know the high was real — price tried to go higher, failed, and reversed. The market "proved" that level was a genuine turning point. A swing low is confirmed when price breaks above the previous swing high. The same logic applies — price tried to go lower, failed, and reversed direction. This creates a natural alternation: high, low, high, low. Each pivot is validated by the market's actual behavior, not by waiting for an arbitrary number of bars to pass. Understanding BOS and CHoCH Once you can identify pivots, the next step is understanding what happens when price breaks through them. This is where BOS and CHoCH come in. BOS (Break of Structure) A Break of Structure occurs when price continues in the direction of the current trend by breaking a previous pivot level. In an uptrend : Price breaks above a previous swing high → This signals strength. Buyers are pushing price to new highs, and the trend is likely to continue. In a downtrend : Price breaks below a previous swing low → This signals weakness. Sellers are pushing price to new lows, and the trend is likely to continue. Think of BOS as the market saying "the trend is still intact." Each BOS confirms that the dominant side (buyers or sellers) remains in control. CHoCH (Change of Character) A Change of Character occurs when price breaks a pivot level in the opposite direction of the current trend. This is an early warning signal that the trend may be reversing. In an uptrend : Price breaks below a previous swing low → This is unexpected. In a healthy uptrend, lows should hold. When they don't, it suggests buyers are losing control and sellers may be taking over. In a downtrend : Price breaks above a previous swing high → This is unexpected. In a healthy downtrend, highs should hold. When they don't, it suggests sellers are losing control and buyers may be stepping in. Think of CHoCH as the market's behavior "changing character" — it's no longer acting the way it should if the trend were healthy. Why BOS and CHoCH Matter These concepts give you a framework for reading what the market is actually doing: BOS tells you the trend is continuing — stay with it or look for entries in that direction CHoCH warns you the trend may be ending — time to be cautious, take profits, or look for trades in the new direction By visualizing these breaks directly on your chart, you don't have to guess. You can see at a glance whether the market is trending smoothly (consecutive BOS) or showing signs of reversal (CHoCH). Why This Approach Works Most pivot indicators use a "lookback" method — they wait for a certain number of bars (say, 5 or 10) on each side of a candle before confirming it as a pivot. This creates a fixed delay. By the time the pivot appears on your chart, price has already moved on. This indicator doesn't wait. It confirms pivots the moment price structure proves them. The result is pivots that align with how traders actually read charts — based on breaks of structure, not arbitrary countdowns. Settings Configuration Swing Width : Controls how sensitive the detection is. Higher numbers show only major swings; lower numbers capture smaller moves within the structure. Pivot Settings High/Low Color : Customize the colors of swing high and swing low markers Style : Choose between Triangle or Circle markers Size : Adjust the size of pivot markers (Auto, Tiny, Small, Normal) Structure Lines Show CHoCH : Toggle Change of Character lines on/off CHoCH Color : Customize the color of CHoCH lines CHoCH Label : Show/hide the "CHoCH" text label Show BOS : Toggle Break of Structure lines on/off BOS Color : Customize the color of BOS lines BOS Label : Show/hide the "BOS" text label Use Cases See the "skeleton" of price action at a glance Identify potential support and resistance levels Understand if the market is trending or ranging Spot trend continuations with BOS lines Catch early reversal signals with CHoCH lines Build a foundation for more advanced trading strategies ━━━━━━━━━━━━━━━━━━━━━━ Version History v1.1 Added BOS (Break of Structure) lines to visualize trend continuation Added CHoCH (Change of Character) lines to identify potential trend reversals Added toggle options for BOS and CHoCH visibility Added customizable colors for structure lines Added optional labels for BOS and CHoCH v1.0 Initial release Automatic swing high and swing low detection Structure-based pivot confirmation (not fixed lookback) Customizable pivot markers (style, size, colors) Adjustable swing width sensitivity ━━━━━━━━━━━━━━━━━━━━━━ Disclaimer: This script is provided for educational and informational purposes only. It is not financial advice and does not constitute a recommendation to buy or sell any financial instrument. Always do your own research and trade at your own risk.
Chỉ báo Pine Script®
của zazenio
2
Alphabet Long Trigger (Björn)Alphabet Trigger Dezember 2025: Kurs 267–269 € grüne Kerze mit höherem Tief Volumen-Lebenszeichen Nasdaq nicht im Abwärtsmodus Alphabet Momentum Pullback Strategy — Brief Description This strategy targets high-quality pullbacks within a confirmed uptrend and enters a long position only when price, structure, volume, and market context align. A trade is triggered when: Price enters the buy zone between €267–€269, signaling a controlled pullback. The chart forms the first green candle with a higher low, indicating buyers are returning. Volume shows a positive uptick (at least above the recent average), confirming real demand. The Nasdaq is not falling, ensuring the broader tech market is stable and not in risk-off mode. The strategy avoids entries triggered solely by price and waits for multi-factor confirmation, reducing false breakouts and momentum traps. It is designed for disciplined swing traders who prioritize trend alignment, volume confirmation, and market context before entering a position.
Chỉ báo Pine Script®
của bjoern_brocher
Momentum Factor Model [QuantAlgo]🟢 Overview The Momentum Factor Model is a multi-horizon momentum analysis system that combines weighted return calculations with risk-adjusted price projections to identify and track persistent directional trends. The indicator employs a quantitative approach by measuring momentum across multiple timeframes simultaneously, applying exponential decay weighting to balance recent versus historical price action, and constructing volatility-normalized boundaries for trend validation. This factor-based methodology provides traders and investors with a systematic framework for momentum regime identification, trend persistence evaluation, and dynamic support/resistance determination across diverse market conditions and timeframes. 🟢 How It Works The indicator constructs a composite momentum factor by calculating percentage returns over three distinct lookback periods (1, 3, and 5 bars) and combining them using exponentially decayed weights. The momentum decay parameter controls the relative importance of each timeframe, with higher decay values creating more balanced weighting between recent and historical momentum, while lower values emphasize immediate price action. This weighted momentum factor captures the multi-dimensional nature of trend strength rather than relying on a single timeframe measurement. The expected return is derived by smoothing the momentum factor over a user-defined period, establishing a baseline for anticipated price movement based on recent momentum characteristics. This expected return then projects a factor-based price estimate, which undergoes risk adjustment through volatility normalization, creating a price estimate that accounts for both directional bias and market volatility conditions. 🟢 How to Use It ▶ Enter Long positions when the momentum factor dots (⏺) transition from red to green (bullish) , indicating the momentum factor model has confirmed positive directional bias. The color change represents a validated shift where the factor line has broken through the lower boundary and begun tracking the upper bound, signaling momentum reversal to the upside. Conversely, enter Short positions or exit existing Longs when the dots shift from green to red (bearish) , confirming negative momentum establishment and downward trend tracking. The momentum factor dots function as a dynamic momentum-based reference pathway that can be used for position management and risk control. During bullish phases, the dot formation represents a momentum-weighted support zone where pullbacks may find stability before continuation. During bearish trends, it acts as resistance where rallies may encounter selling pressure. Price action relative to the momentum factor pathway provides context on trend health: sustained price movement in the direction of the trend (above the dots during bullish phases, below during bearish phases) confirms momentum persistence, while repeated violations may suggest weakening directional conviction. ▶ Configure alert notifications to monitor trend changes without continuous chart observation. The indicator provides three alert types: "Bullish Momentum Signal" triggers specifically on upward trend reversals, "Bearish Momentum Signal" captures downward momentum shifts, and "Momentum Trend Change" fires on any directional transition. These alerts activate only when the trend state changes from one regime to another, eliminating false triggers from intrabar noise or temporary boundary touches that don't result in confirmed trend reversals. ▶ The indicator also offers six pre-designed color schemes (Classic, Aqua, Cosmic, Ember, Neon, Custom) optimized for various chart backgrounds and visual preferences, ensuring the momentum trend remains clearly visible under different display conditions. The bar coloring feature overlays trend direction directly onto the price candles, providing immediate visual confirmation of the momentum regime without needing to reference the dot pattern position. 🟢 Pro Tips for Trading and Investing ▶ Align the configuration preset with your trading timeframe and objectives: Fast Response settings excel on 1-15 minute charts for scalping and day trading where capturing quick momentum shifts is paramount, though this comes with increased signal frequency and potential whipsaws in ranging conditions. Default parameters suit hourly to daily charts for swing trading, providing balanced responsiveness without excessive noise. Smooth Trend configuration works best on 4-hour to weekly timeframes for position trading and investment analysis, prioritizing trend stability over timing precision and significantly reducing false reversals during consolidation periods. ▶ Context matters significantly for momentum-based systems. The indicator performs optimally during trending market regimes where directional persistence exists and may struggle during sideways consolidation where momentum lacks consistency. Before taking signals, assess the broader market structure: look for established higher highs/higher lows (uptrend) or lower highs/lower lows (downtrend) on higher timeframes to confirm you're trading with the dominant directional bias. During range-bound periods, reduce position sizing or wait for the momentum factor dots to establish a clear directional slope and consistent movement before committing capital. ▶ Layer the momentum factor model with complementary analysis rather than using it in isolation. Combine trend signals with volume confirmation (increasing volume on trend changes suggests institutional participation), key support/resistance levels (signals near major levels carry higher probability), and volatility context (ATR expansion can precede significant moves). Consider the momentum decay parameter's impact: values near 0.85 make the model highly sensitive to recent price action, ideal for fast-moving markets but prone to false signals; values near 0.95 create smoother momentum estimates that better filter noise but may lag major reversals. ▶ Implement dynamic position management using the momentum factor pathway as a trailing reference framework. Rather than placing fixed stops, observe the dot formation's progression: as long as it maintains its directional slope and price respects it as support (bullish) or resistance (bearish), the momentum regime remains intact. Exit or tighten stops when price closes decisively through the momentum factor dots against your position, or when the dot pathway itself flattens (losing slope) indicating momentum exhaustion. For portfolio allocation, scale position sizes based on momentum factor strength, e.g., steeper dot progression angles and faster advancement suggest stronger momentum worthy of larger allocations within your risk parameters.
Chỉ báo Pine Script®
của QuantAlgo
4
OBV + WaveTrend Volume Scalper [GratefulFutures]This script is a combination script of three different strategies that provides buy and sell signals based on the change of volume with momentum confirmations. Sources used: This script relies on the outstanding scripts of the great script writer LazyBear: LazyBear The following scripts were used in this publication: 1. A modified "On-Balance Volume Oscillator" modified from LazyBear's original script: 2. Wavetrend Oscillator with crosses, Author: LazyBear 3. Squeeze Momentum Oscillator, Author: LazyBear This script functions based on the following criteria being true: 1. On balance volume oscillator turning from negative to positive (buy) or positive to negative (sell) 2. Squeeze Momentum value is increasing (buy) or decreasing (sell) 3. Wavetrend 1 (wt1) is greater than wavetrend 2 (wt2) (buy)/ Wavetrend 1 (wt1) is less than wavetrend 2 (wt2) (sell) By combining these factors the indicator is able to signal exactly when net buying turns to net selling (OBV) and when this change is most advantageous to continue based on the momentum and price action of the underlying asset (SQMOMO and Wavetrend). This allows you to pair volume and price action for a powerful tool to identify where price will reverse or continue providing exceptional entries for short term trades, especially when combined with other aspects such as support and resistance, or volume profile. How to use: Simply adjust the settings to your preference and read the given signals as generated. Settings There are multiple ways to tune the signals generated. It is set standard for my preferred use on a 1 minute chart. OBV Oscillator Settings The first 4 dropdowns in the Inputs section tune the On Balance Volume Oscillator (OBVO) portion of the indicator. You can choose if you want it to calculate based on close, open, high, low, or other value. The most impactful in the entire settings is going to be the length and smoothing of the OBVO EMA. Making this number lower increasing the sensitivity to changes in volume, making the signals come quicker but is more susceptible to quick fluctuations. A value of between (5-20) is reasonable for the OBVO EMA length. There is a separate smoothing factor titled OBV Smoothing Length and below that, OBV Smoothing Type , a value of (2) is standard with "SMA" for smoothing type with a value of between 2-10 being reasonable. You may also play with these values to see what you like for your trading style. Wavetrend Settings The next 3 options are to modify the wavetrend portion of the indicator. I do not modify these from standard, and feel that they work appropriately on all time frames at the following values: n1 length (10), n2 length (20), Wavetrend Signal SMA length (4) Squeeze Momentum Settings The following 5 options through the end modify the Squeeze momentum portion of the indicator. The only one that modifies the signals generated is the KC Length , Making this number lower increasing the sensitivity to changes in price action, making the signals come quicker but is more susceptible to quick fluctuations. A value of between (18-25) is reasonable for KC Length . Style Setting You may select if you want to see the buy and sell signals. The following 5 options Raw OBV Osc through Squeeze Momentum allow you to see where each specific requirement was met, posted as a vertical line, but for live use it is recommended to turn all of these vertical lines off and only use the buy and sell signals. Time Frames: While this script is most effective on shorter time frames (1 minute for scalping and daytrading) it is also viable to use it on longer timeframes, due to the nature of its components being independent of time frame. Examples of use - (Green and red vertical lines are for visualization purpose and are not part of the script) SPY 1 Minute (Factory Settings): SPX 15 minutes (Factory Settings): Considerations This script is meant primarily for short term trading, trades on the basis of seconds to minutes primarily. While they can be a good indication of volume lining up with momentum, it is always wise to use them in combination with other factors such as support, resistance, market structure, volume levels, or the many other techniques out there... As Always... Happy Trading. -Not_A_Mad_Scientist (GreatfulFutures Trade University)
Chỉ báo Pine Script®
của not_a_mad_scientist
Smart Money Setup 08 [TradingFinder] Binary Options Gold Scalper🔵 Introduction In the Smart Money methodology, the market is understood as a structure driven by liquidity flow. This structure forms through the movement of large orders, the accumulation of liquidity, and the reactions that occur around key price zones. The logic of Smart Money is based on the idea that price movement is not random and usually evolves with the intention of collecting liquidity and creating price inefficiencies known as imbalances. Within this framework, several important stages including the liquidity sweep, the formation of a point of interest, the appearance of an imbalance and the transition of market structure play major roles and collectively define the broader direction of price. In many bullish scenarios, the market begins by sweeping sell side liquidity and targeting important lows in order to collect the liquidity resting below them. This liquidity collection often becomes the starting point for creating a point of interest which usually marks the area where Smart Money begins to enter the market. After price moves away from this point, it breaks a structural high and forms a change of character. This shift marks a transition in the balance of power between buyers and sellers and is considered the first clear signal that the market structure is changing. After the change of character, new institutional order flow often creates a strong and rapid movement that leaves behind an imbalance. This imbalance is one of the most important elements in Smart Money analysis because price tends to return to this area in order to complete structure and restore balance. The return into the imbalance becomes meaningful when it occurs together with the liquidity sweep, the presence of a validated point of interest and a confirmed structural transition. These conditions frequently mark the beginning of powerful movements within the Smart Money cycle. Understanding the sequence of liquidity, point of interest, imbalance, change of character and market structure builds the foundation of Smart Money analysis and provides a clear view of the true direction of institutional strength. Bullish Setup : Bearish Setup : 🔵 How to Use To use this framework effectively, the trader must analyze the market through the principles of Smart Money and observe how liquidity drives price. A trade becomes valid only when several essential components appear together in a clear and consistent order. These components include the liquidity sweep, the formation of a point of interest, the confirmation of a change of character, the transition of market structure and the return of price into an imbalance. The method is built on the understanding that the market first collects liquidity, then shifts order flow and finally provides an entry opportunity inside an inefficient area or inside a point of interest. For this reason, the trader must follow the path of liquidity from the moment the sweep occurs, through the point of interest and the change of character and finally into the return of price toward the imbalance. When applied correctly, this approach creates entries that are more precise, more structural and more aligned with the real behavior of the market rather than with superficial signals. 🟣 Long Position A bullish setup in Smart Money structure begins with a liquidity sweep on the sell side. The market first targets the areas where sell side liquidity is located and collects the stops and resting liquidity under previous lows. This collection is the condition that Smart Money requires to begin creating a new order flow. After this liquidity has been taken, a point of interest forms which is usually the last bearish candle or the effective demand zone that initiated the upward movement. Price then moves away from the point of interest and breaks a structural high which creates a change of character. This event confirms that the market structure has moved from a bearish state to a bullish one and that buying pressure has taken control of the order flow. Following this shift, a strong upward movement often occurs and creates an imbalance between candles. This imbalance reflects the entrance of strong Smart Money orders and is seen as an important confirmation of bullish strength. When price returns to this imbalance after the displacement, the market enters a phase where Smart Money aims to complete the corrective movement and continue the upward direction. The reaction inside the imbalance when combined with the liquidity sweep, the confirmed point of interest and the change of character completes the bullish setup and forms a structure that often leads to a continuation of the bullish trend. 🟣 Short Position A bearish setup follows the same Smart Money logic but in the opposite direction. The market begins by collecting buy side liquidity and targets the highs where buy side liquidity and resting stops are located. This liquidity sweep on the buy side becomes the starting phase for Smart Money to initiate a downward order flow. After the liquidity is collected, a bearish point of interest forms which is usually the last bullish candle or the supply zone that created the initial drop. Price then moves away from this point and breaks the first structural low. This creates a change of character to the downside which confirms that the market structure has transitioned from bullish to bearish and that selling pressure has gained control. After this shift, a strong downward displacement appears and leaves behind a bearish imbalance that clearly shows the dominance of sellers. As price returns to this imbalance and corrects the inefficient movement, the bearish setup becomes complete as long as the market structure remains bearish. The combination of the buy side liquidity sweep, the bearish point of interest, the change of character, the imbalance and the corrective return creates the ideal structure that Smart Money uses to continue the downward movement and develop a reliable selling opportunity. 🔵 Settings 🟣 Logic Settings Pivot Period : Defines how many bars are analyzed to identify swing highs and lows. Higher values detect larger, slower structures, while lower values respond to faster patterns. The default value of 5 offers a balanced sensitivity. 🟣 Alert Settings Alert : Enables alerts for SMS08. Message Frequency : Determines the frequency of alerts. Options include 'All' (every function call), 'Once Per Bar' (first call within the bar), and 'Once Per Bar Close' (final script execution of the real-time bar). Default is 'Once per Bar'. Show Alert Time by Time Zone : Configures the time zone for alert messages. Default is 'UTC'. 🔵 Conclusion The Smart Money approach demonstrates that price movement is not random or based on surface level patterns. Instead, it develops through a clear cycle of liquidity collection, structural transition and corrective movement toward key price zones. By recognizing events such as the liquidity sweep, the formation of the point of interest, the change of character and the return into the imbalance, the trader gains the ability to understand order flow more accurately and identify the true direction of market structure. Both bullish and bearish setups show that the alignment of these elements creates a transparent view of institutional behavior and reveals the source of strong movements in the market. When the trader correctly identifies this sequence, entry points become more reliable and more aligned with liquidity flow. The combination of liquidity, structure and imbalance provides a consistent framework that removes guesswork and guides decisions through the real logic of the market.
Chỉ báo Pine Script®
của TFlab
5
Magic Equity Trend & PivotsMagic Equity Trend & Pivots is a robust technical analysis engine designed specifically for equity and index traders. It serves as a comprehensive "Trend & Level" companion, combining institutional Pivot Points with a proprietary EMA trend filtering system to identify high-probability setups. How the Magic Works This indicator simplifies complex market data into a clear visual workflow: 1. The Magic Equity Trend (Trend Identification) The script uses a weighted system to determine the dominant market direction: Bullish Trend: Price holds above the primary Trend SMA + a Volatility Buffer (Green Zone). Bearish Trend: Price is rejected below the Trend SMA - Buffer (Red Zone). No-Trade Zone: When the price is trapped inside the buffer (Gray Channel), the trend is considered weak or ranging. 2. Institutional Pivot Points Price often reacts at hidden levels. This tool calculates and overlays these levels automatically: Multi-Type Support: Choose between Traditional, Fibonacci, Woodie, Classic, DM, and Camarilla pivots. Timeframe Smart-Switching: Use fixed timeframes (e.g., Weekly Pivots on a Daily chart) or let the "Auto" mode decide the best reference period for your current view. Historical Mode: Unlike standard pivots, these can be back-tested visually to see how prices respected levels in the past. 3. Precision Entry & Exit Logic Trade signals are not random; they are based on a strict confluence of "Magic" factors: Entry Signal: Requires Trend Alignment + Fast/Slow EMA Crossover + RSI Strength (>60) + Relative Volume Spike. Top-Up (Add-on): Detects low-risk opportunities to add to a position when price pulls back to the EMA10/20 during a strong trend. Two-Stage Exit: Secures profits using either an ATR Trailing Stop or an Intraday RSI Breakdown, depending on your settings. 4. Divergence & Momentum RSI Divergence: Automatically plots Regular Bullish and Bearish divergences to warn of potential reversals at tops or bottoms. Darvas Boxes: Visualizes consolidation ranges to help identify breakouts. 5. Performance Dashboard A data table provides a snapshot of the asset's health: Mean Reversion: Measures the % distance from key EMAs (10, 20, 50). RVOL & ADR: Displays Relative Volume and Average Daily Range to gauge volatility. Performance Tracker: A theoretical summary table showing how the trend signals have performed over the last 1W, 1M, and 1Y periods. Settings & Customization Visuals: Fully customizable colors for the Trend Cloud, Pivots, and Backgrounds. Filters: Toggle specific filters (Volume, RSI, Trend Buffer) to adapt the sensitivity to different asset classes. Disclaimer: This tool is for educational purposes and technical analysis assistance only. Past performance displayed in the dashboard does not guarantee future results.
Chỉ báo Pine Script®
của rajupp
Trade Assist (D4 & D4a) v1Trade Assist - Professional Trading Setup Validator Overview Trade Assist is a comprehensive systematic trading indicator designed for forex traders who follow disciplined, rule-based approaches. This indicator eliminates subjectivity by providing clear setup validation with visual confirmations and real-time alerts. Key Features Dual Strategy System - D4 Strategy: Conservative approach for higher-probability setups - D4a Strategy: Aggressive variant for increased trading opportunities - Simple dropdown selector to switch between strategies Real-Time Setup Validation Trade Assist analyses multiple market conditions simultaneously and provides instant feedback on whether a valid trading setup exists. The indicator displays clear visual signals: - 🟢 Valid Buy/Sell - All criteria met, setup confirmed - ⚠️ Check 1:1 - Valid setup with caution flag (requires additional verification) - ❌ No Valid Setup - Specific failure reason displayed Intelligent Filtering System The indicator applies multiple validation layers to filter out low-quality setups: - Trend confirmation requirements - Range position analysis - Candle structure validation - Support/Resistance clearance checks - Weekly level awareness Visual Trading Aids - SL/TP Guide: Dynamic bands showing optimal stop loss and take profit zones - Pip Counter: Real-time pip distance calculations adjusted for JPY and non-JPY pairs - Trend Display: Clear bullish/bearish trend identification Smart Alerts Integrated TradingView alert system notifies you the moment a valid setup appears: - Instant notifications to mobile/desktop - Customizable alert messages showing pair and direction - "Only Once" frequency recommended to avoid alert spam Grey Zone Protection Automatically detects when price action becomes unclear or choppy, protecting you from marginal trades during uncertain market conditions. Position Grading System Not all valid setups are equal. Trade Assist grades entry positions: - Clean Zone: Optimal entry location within range - Warning Zone: Valid but less ideal positioning - No Trade Zone: Entry location fails risk/reward criteria Designed For - Systematic forex traders on 4-hour timeframes - Traders who value mechanical rules over discretion - Anyone seeking to eliminate emotional decision-making - Traders managing multiple currency pairs (optimized for 28 major pairs) What You Get ✅ Objective setup validation - no guesswork ✅ Clear entry signals with specific failure reasons when criteria aren't met ✅ Automated pip calculations for SL/TP planning ✅ Multi-strategy flexibility in a single indicator ✅ Real-time alerts for valid setups ✅ Risk management guidance through visual zones Important Notes - This is a setup validation tool, NOT A SIGNAL SERVICE - Designed for traders who understand price action and risk management - Works best when combined with proper trading plan and money management - Optimized for forex pairs (28 majors including JPY crosses) - Recommended timeframe: 4H Customization Options - Strategy selection (D4/D4a) - SL/TP band colours - Display positions for tables - Optional 50% ATR display - Pip counter toggle - Visual element customization --- Access: Invite-only Best For: Disciplined systematic traders Markets: Forex (optimized) Timeframes: 4H Trade Assist brings clarity to your trading decisions by providing objective, rule-based validation for every potential setup. Stop guessing, start trading with confidence.
Chỉ báo Pine Script®
của simplypriceaction101
APEX TREND: Macro & Hard Stop SystemAPEX TREND: Macro & Hard Stop System The APEX TREND System is a composite trend-following strategy engineered to solve the "Whipsaw" problem inherent in standard breakout systems. It orchestrates four distinct technical theories—Macro Trend Filtering, Volatility Squeeze, Momentum, and Volatility Stop-Loss—into a single, hierarchical decision-making engine. This script is not merely a collection of indicators; it is a rules-based trading system designed for Swing Traders (Day/Week timeframes) who aim to capture major trend extensions while strictly managing downside risk through a "Hard Stop" mechanism. 🧠 Underlying Concepts & Originality Many trend indicators fail because they treat all price movements equally. The APEX TREND differentiates itself by applying an "Institutional Filter" logic derived from classic Dow Theory and Modern Volatility Analysis. 1. The Macro Hard Stop (The 200 EMA Logic) Origin: Based on the institutional mandate that “Nothing good happens below the 200-day moving average.” Function: Unlike standard super trends that flip constantly in sideways markets, this system integrates a 200-period Exponential Moving Average (EMA) as a non-negotiable "Hard Stop." Synergy: This acts as the primary gatekeeper. Even if the volatility engine signals a "Buy," the system suppresses the signal if the price is below the Macro Baseline, effectively filtering out counter-trend traps. 2. The Volatility Engine (Squeeze Theory) Origin: Derived from John Carter’s TTM Squeeze concept. Function: The script identifies periods where Bollinger Bands (Standard Deviation) contract inside Keltner Channels (ATR). This indicates a period of potential energy build-up. Synergy: The system only triggers an entry when this energy is released (Breakout) AND coincides with Linear Regression Momentum, ensuring the breakout is genuine. 3. Anti-Chop Filter (ADX Integration) Origin: J. Welles Wilder’s Directional Movement Theory. Function: A common failure point for trend systems is low-volatility chop. This script utilizes the Average Directional Index (ADX). Synergy: If the ADX is below the threshold (Default: 20), the market is deemed "Choppy." The script visually represents this by painting candles GRAY, signaling a "No-Trade Zone" regardless of price action. 4. The "Run Trend" Stop Loss (Factor 4.0 ATR) Origin: Adapted from the Turtle Trading rules regarding volatility-based stops. Function: Standard Trailing Stops (usually Factor 3.0) are too tight for crypto or volatile equities on daily timeframes. Optimization: This system employs a wider ATR Multiplier of 4.0. This allows the asset to fluctuate naturally within a trend without triggering a premature exit, maximizing the "Run Trend" potential. 🛠 How It Works (The Algorithm) The script processes data in a specific order to generate a signal: Check Macro Trend: Is Price > EMA 200? (If No, Longs are disabled). Check Volatility: Is ADX > 20? (If No, all signals are disabled). Check Volume: Is Current Volume > 1.2x Average Volume? (Confirmation of institutional participation). Trigger: Has a Volatility Breakout occurred in the direction of the Macro Trend? Execution: If ALL above are true -> Generate Signal. 🎯 Strategy Guide 1. Long Setup (Bullish) Signal: Look for the Green "APEX LONG" Label. Condition: The price must be ABOVE the White Line (EMA 200). Execution: Enter at the close of the signal candle. Stop Loss: Initial stop at the Green Trailing Line. 2. Short Setup (Bearish) Signal: Look for the Red "APEX SHORT" Label. Condition: The price must be BELOW the White Line (EMA 200). Execution: Enter at the close of the signal candle. Stop Loss: Initial stop at the Red Trailing Line. 3. Exit Rules (Crucial) This system employs a Dual-Exit Mechanism: Soft Exit (Profit Taking): Close the position if the price crosses the Trailing Stop Line (Green/Red line). This locks in profits during a trend reversal. Hard Exit (Emergency): Close the position IMMEDIATELY if the price crosses the White EMA 200 Line against your trade. This prevents holding a position during a major market regime change. ⚙️ Settings Momentum Engine: Adjust Bollinger Band/Keltner Channel lengths to tune breakout sensitivity. Apex Filters: Toggle the EMA 200 or ADX filters on/off to adapt to different asset classes. Risk Management: The ATR Multiplier (Default 4.0) controls the width of the trailing stop. Lower values = Tighter stops (Scalping); Higher values = Looser stops (Swing). Disclaimer: This script is designed for trend-following on higher timeframes (4H, 1D, 1W). Please backtest on your specific asset before live trading.
Chỉ báo Pine Script®
của Gustav_Rex
NHEST Liquidity Ultra Minimal (Short Labels) NHEST Liquidity Ultra Minimal is a clean, lightweight, and distraction-free liquidity mapping tool designed for traders who want institutional-grade clarity without chart noise. It highlights only the most important liquidity zones — nothing extra, nothing cluttered — giving you a pure view of where price is most likely to react, reverse, or sweep. ✔ Ultra-Minimal Design This indicator removes all unnecessary visuals and focuses solely on key liquidity levels derived from price structure. No boxes, no labels, no shading overload — just the critical price zones that matter. ✔ Smart Liquidity Levels NHEST Liquidity Ultra Minimal automatically detects major liquidity pools such as: • Buy-side liquidity (BSL) above price • Sell-side liquidity (SSL) below price • Primary and secondary liquidity shelves These levels help traders anticipate where smart money may target next. ✔ Higher-Timeframe Stability Built to work cleanly across all timeframes, from scalping to swing trading. Liquidity zones update smoothly and remain stable even during high-volatility conditions. ✔ Perfect for Smart Money Concepts (SMC) This indicator is ideal for traders who follow: • ICT concepts • Liquidity hunts • Market structure • Breakers & mitigation blocks • Sweep-into-imbalance setups ✔ No Lag — No Repaints All levels are calculated in real-time using non-repainting logic. ✔ Clean Visuals for Any Style Whether you’re using a dark chart or a white chart, NHEST Liquidity Ultra Minimal keeps your workspace clean, organized, and easy to read — perfect for professional analysis, live streaming, and trading education content. ⸻ How to Use 1. Identify zones above price (BSL) as potential liquidity targets for bullish expansions. 2. Identify zones below price (SSL) as downside liquidity targets for bearish expansions. 3. Expect price to gravitate toward the nearest liquidity pool during consolidation. 4. Use the levels to anticipate sweeps, reversals, or continuation moves. ⸻ Best For • Smart money traders • Gold (XAUUSD) traders • Crypto, Forex, Indices • Scalpers & intraday traders • Price-action purists • Traders who want a clean chart ⸻ Disclaimer This script is for educational purposes only and is not financial advice. Always use proper risk management. By NHEST TRADING LLC
Chỉ báo Pine Script®
của Nhest-Trading
1
Slope Rank ReversalThis tool is designed to solve the fundamental problem of "buying low and selling high" by providing objective entry/exit signals based on momentum extremes and inflection points. The System employs three core components: Trend Detection (PSAR): The Parabolic SAR is used as a filter to confirm that a trend reversal or transition is currently underway, isolating actionable trade setups. Dynamic Momentum Ranking: The indicator continuously measures the slope of the price action. This slope is then ranked against historical data to objectively identify when an asset is in an extreme state (overbought or oversold). Signal Generation (Inflection Points): Oversold/Buy: A 🟢 Green X is generated only when the slope ranking indicates the market is steeply negative (oversold), and the slope value begins to tick upwards (the inflection point), signaling potential mean reversion. Overbought/Sell: A 🔴 Red X is generated only when the slope ranking indicates the market is steeply positive (overbought), and the slope value begins to tick downwards, signaling momentum exhaustion. The core philosophy is simple: Enter only when the market is exhausted and has started to turn.
Chỉ báo Pine Script®
của accutrades_net
Binary Options 1 Minute Signals [TradingFinder] 1 Min Strategy🔵 Introduction At first sight, price movement in binary options appears random, but behind every move lies a clear logic of liquidity and market imbalance. The market is always driven by the hunt for liquidity and the continuous rebalancing that takes place around Fair Value Gaps (FVGs) and Order Blocks (OBs). These zones are where institutional activity is concentrated and where Smart Money creates the most significant reactions. When price approaches a key liquidity zone, it often performs a Liquidity Sweep to capture orders resting around previous highs or lows. This move usually presents itself as a False Breakout. Price briefly breaks a level to trigger stop losses and collect liquidity, then quickly reverses direction. Understanding this false breakout behavior is essential for identifying high probability reversals in binary options trading. After the liquidity sweep, price typically retraces into a Fair Value Gap or Order Block, where the market seeks balance and new orders are introduced. This interaction between liquidity, imbalance, and institutional order flow forms the core logic of every Smart Money trading model. By focusing on Liquidity Sweeps, False Breakouts, and the structure of FVGs and OBs, traders can read the true intention behind price movements. What seems like random volatility becomes a structured cycle of liquidity collection and reaction, offering clear opportunities for precision-based binary entries. Bullish Setup : Bearish Setup : 🔵 How to Use This indicator works within the Smart Money framework and focuses on the connection between Liquidity Sweep, False Breakout, Fair Value Gap (FVG) and Order Block (OB). It is created to help traders identify the moment when the market finishes collecting liquidity and begins to show signs of reversal. The indicator studies how price behaves around zones where liquidity is concentrated, such as previous highs and lows or areas with visible inefficiency. When a clear reaction forms and a valid candle pattern confirms the shift in direction, the indicator generates a signal that represents the activity of Smart Money. This tool does not respond to random volatility or noise. It waits for structure, liquidity and confirmation to align together before providing an entry. As a result, every signal has a logical base related to institutional order flow rather than ordinary price fluctuations. This approach allows traders to focus only on the movements that reflect true liquidity behavior. 🟣 Long Setup A bullish setup takes place when the market moves downward and reaches a sell-side liquidity zone located below previous swing lows. In this area, price performs a Liquidity Sweep by moving under key levels to trigger stop losses and capture liquidity from trapped sellers. This movement usually appears as a False Breakout because the market breaks below a level for a short moment and then quickly moves back inside the range. Around this zone, a bullish Order Block or Fair Value Gap (FVG) often exists, showing where institutional demand is active. When the indicator detects the presence of liquidity collection together with a valid bullish confirmation candle near an OB or FVG, it creates a Call signal. This marks the moment when Smart Money is shifting from selling pressure to accumulation, and a strong bullish move often follows. For binary entries, the best opportunity usually comes immediately after the confirmation candle closes. The reaction tends to happen quickly because the liquidity grab has completed and new institutional buying pressure is entering the market. This type of setup often provides a clean and precise entry with a high probability of success. 🟣 Short Setup A bearish setup happens when the market rises and enters a buy-side liquidity area above previous highs. Here, the market performs a Liquidity Sweep to trigger stop losses placed above those highs and to absorb liquidity from trapped buyers. This pattern forms what traders recognize as a False Breakout because the price only breaks the level temporarily before reversing in the opposite direction. A bearish Order Block or Fair Value Gap (FVG) often appears around this zone, showing where institutional selling interest exists. Once the liquidity sweep completes and a bearish confirmation candle closes, the indicator produces a Put signal that reflects the shift from buying to selling pressure by Smart Money. This moment often leads to a fast downward reaction as the market rebalances and fills the nearby inefficiency. The most effective entry for binary trading is right after the confirmation candle closes, when the false breakout and liquidity collection are both completed. The price usually reacts sharply as the market transitions from liquidity hunting to a new directional move. This setup represents a structured view of how liquidity drives market cycles and how Smart Money creates precise reversals through controlled imbalance and reaction. 🔵 Settings Time Frame : Defines the timeframe used for analysis. If left blank, the indicator automatically uses the chart’s current timeframe. Swing Period : Determines how many candles are used to identify structural turning points such as swing highs and swing lows. Higher values increase accuracy but reduce the number of signals. Signal Type : Specifies the type of signal generated by the indicator. The option All shows every signal, Main Signal displays only the primary one, and Alternative Signal produces a secondary signal that appears one candle after the main signal for additional confirmation. Candle Pattern : Enables candle pattern logic for reversal confirmation. When active, the indicator issues a signal only when a valid candle formation confirms the market reaction. Candle LookBack Check : Verifies that the last few candles move in the opposite direction of the signal to be generated. This condition acts as a confirmation filter, ensuring that the signal appears only after a clear counter-move in price. Last Candle Direction : Considers the direction of the most recent candle in the analysis. It helps determine whether the final candle moves with or against the current trend. Last Candle Shadow Ratio : Sets the ratio between the last candle’s wick and body to refine confirmation accuracy. Higher values require longer wicks, indicating stronger rejection and a more reliable reversal pattern. 🔵 Conclusion Trading with Smart Money logic means understanding how liquidity moves through the market. Each Liquidity Sweep, False Breakout, Fair Value Gap (FVG) and Order Block (OB) reflects the process of collecting and redistributing orders. This indicator captures that sequence and turns it into precise, structured signals for binary entries. When liquidity is absorbed and a candle confirmation appears, the market reveals its true direction. At that moment, traders can act with confidence, following institutional flow instead of reacting to random price moves. Success with this system comes from patience, confirmation, and a clear reading of liquidity behavior, the core principles behind every Smart Money reversal.
Chỉ báo Pine Script®
của TFlab
1