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Prop Safety Filter - Dynamic SizeListen, we all know the market gets too fast sometimes. This scrypt lets you set your personal daily loss limit and helps you guess when market conditions will let you trade up to 4 trades without blowing your PDLL. You earnetly can still trade if the screen goes red, but the suggestion is if you do, trade smaller. Tell it how many micros you're trading and this script uses ATR to determine if the individual candles are too wild or not for you to hold a trade with a reasonably small stop loss. I "wrote" this script with Gemini, so if you have any issue with it, have gemini rewrite it for you, no problem.
Pine Script®指标
由TradingNichols提供
Super OscillatorSuper Oscillator – Intraday Momentum Super Oscillator is a momentum-based oscillator designed for intraday trading, optimized for 1-minute charts and fast market conditions. The indicator uses a zero-centered momentum model with dynamic smoothing and clearly defined zones to help traders identify exhaustion, pullbacks, and momentum shifts without excessive noise. Key Features Zero-centered oscillator for immediate directional bias Dynamic overbought and oversold zones Neutral “dead zone” to avoid low-probability trades Smoothed momentum line with signal line for timing entries Optimized for scalping and short-term intraday trading Fully compatible with TradingView Pine Script v6 How to Use Overbought zone: Look for bearish reactions or momentum exhaustion Oversold zone: Look for bullish reactions or pullbacks Dead zone: Avoid trades when momentum is unclear Use the oscillator as a confirmation tool, always with price action and structure Best Use Case Intraday scalping (1M–5M) Futures markets (indices, metals) NY session trading Disclaimer This indicator does not predict price direction. It measures momentum and exhaustion and should be used as part of a complete trading plan with proper risk management.
Pine Script®指标
由THEGREATNAPLESTRADERX提供
MACD-V (Volatility Normalized MACD)Award-Winning Momentum Indicator by Alex Spiroglou (CMT Charles Dao Award & NAAIM Founders Award, 2022) The classic MACD has powered trading decisions for decades, but it suffers from five major limitations that undermine consistency: 1- Readings are not comparable over time (absolute price dependency causes massive scale differences across decades) 2- Not comparable across markets or assets (e.g., stocks vs. forex vs. crypto) 3- No universal overbought/oversold levels 4- Excessive whipsaws in low-momentum/range-bound conditions 5- Lagging signals in high-momentum reversals (e.g., missing big chunks of V-shaped recoveries) MACD-V solves all five issues by normalizing momentum against volatility instead of price. Core Formula MACD-V = (EMA(12) - EMA(26)) / ATR(26) × 100 This expresses momentum in units of Average True Range (ATR), creating a volatility-adjusted oscillator that remains mathematically meaningful and comparable: -Analysts can use MACD-V across any timeframe: -Across any asset class (stocks, forex, commodities, bonds, crypto) -Over decades of history Key Features & Benefits Time-stable & cross-market comparable: A +100 reading today has the same meaning as +100 in the past years, regardless of asset or price level. Universal extremes: ±150 captures ~95% of all readings across markets → extreme/stretched momentum. Momentum Lifecycle Roadmap (objective framework): +150 or < -150: Extreme / overstretched (high reversal risk) +50 to +150 or -50 to -150: Strong directional momentum (rallying, retracing, rebounding, reversing) -50 to +50: Neutral / low momentum / ranging (avoid most signals — high whipsaw zone) Range Rules for regime context: In bullish regimes (price > 200 EMA), -50 to -150 becomes the practical oversold zone; readings below -100 are rare and often powerful buy setups. Opposite in bearish regimes. Improved signal quality: Filter whipsaws in neutral zone, anticipate lag in extremes, prioritize high-probability crosses in strong-momentum bands. MACD-V Histogram (MACD-VH): Normalized short-term momentum with extremes at ±40 for fast reversal detection. Backtesting & strategy-friendly: Enables reliable historical analysis, cross-asset relative strength, and systematic rules MACD-V transforms momentum from subjective art into objective, repeatable science — giving you consistent, actionable insights no matter what you're trading. Use it standalone or layer with trend filters (e.g., 200 EMA), volume, or price action for even stronger edges. Developer: Alex Spiroglou Open-source versions inspired by his work — feel free to fork and improve! Happy trading! 🚀
Pine Script®指标
由KivancOzbilgic提供
14
Price Acceptance MapPrice Acceptance Map Price Acceptance Map is a read-only market context indicator that evaluates whether newly asserted price levels are being accepted, rejected, or remain undefined by subsequent market behavior. Rather than treating trend continuation as confirmation, this indicator frames directional price movement as an attempt to establish a new auction level. That attempt must then be validated or rejected after the fact. The indicator follows three conceptual steps: Environment Qualification Evaluation is permitted only when market structure and volatility conditions are suitable. When these conditions are not met, the indicator intentionally remains silent. Level Assertion Detection Meaningful price expansion beyond recent balance is interpreted as a level claim. Gradual movement may result in no level being defined. Acceptance Verdict Subsequent price behavior determines whether the level is: Accepted (held by the market), Rejected (failed and returned into prior balance), or Undefined (no valid level requiring a verdict). The current state is displayed using a simple, non-interpretive panel: ACCEPTED / LEVEL ACCEPTED NOT ACCEPTED / LEVEL REJECTED UNRESOLVED / LEVEL UNDEFINED Important Notes Indicator only (no signals, no orders) Evaluated on confirmed bar close No intentional repaint or lookahead logic Designed for contextual analysis, not prediction Price Acceptance Map is intended to clarify when the market is making a decision — and when it is not.
Pine Script®指标
由ibotrade提供
Smart Liquidity & Step-TrendSmart Liquidity & Step-Trend Overview The Smart Liquidity & Step-Trend is a technical analysis tool designed to identify market manipulation points, specifically Liquidity Sweeps, and filter them using a Dynamic Multi-Timeframe (MTF) Trend. By combining Price Action concepts with institutional flow logic, this indicator helps traders spot high-probability reversal zones where "Smart Money" typically enters the market by capturing retail stop-losses. The Core Concept: Where is the Liquidity? Markets do not move randomly. Institutional players require significant liquidity to fill their large orders. This liquidity is often found where retail traders place their stop-loss orders: above obvious swing highs and below obvious swing lows. A Liquidity Sweep occurs when the price briefly breaks through these key levels to trigger stops/orders and then immediately reverses back into the range. This indicator visualizes these events as potential turning points. To increase the probability of success, the Step-Trend (EMA) provides a higher-timeframe context, ensuring you are aware of the dominant market direction. Key Features Advanced Sweep Detection: Automatically identifies false breakouts of key swing highs and lows. Dynamic MTF Logic: - Trend Filter: The EMA (Exponential Moving Average) is calculated on a timeframe of your choice (e.g., 4H) even while viewing a lower timeframe (e.g., 15m). - MTF Swings: Support and Resistance zones are derived from MTF data for higher reliability. Temporary vs. Historical Zones: - Mitigation Logic (Default): Zones are automatically deleted once the price closes through them. This keeps your chart clean, showing only active and relevant levels that haven't been "tested" yet. - History Mode: Toggle "Show Historical Zones" to keep all past levels on the chart for backtesting and analysis. ATR Filter (Zone Importance): Adjustable sensitivity to filter out market noise and focus on significant liquidity grabs. How to Trade with This Indicator 1. Trend Confluence (Recommended) This is the highest probability setup. - BUY Signal: Look for a "SUPPORT" zone (teal) forming below the price while the Step-Trend EMA indicates an uptrend. This suggests a "buy-the-dip" manipulation. Use the "Trend Confluence Buy Signal" alert. - SELL Signal: Look for a "RESISTANCE" zone (orange) forming above the price while the Step-Trend EMA indicates a downtrend. Use the "Trend Confluence Sell Signal" alert. 2. Scalping & Reversals - Users can utilize the "SUPPORT" and "RESISTANCE" zones as potential targets or quick scalp entry points even against the main trend. Use the "Any Trend" sweep alerts for this style of trading. Settings Explained - Liquidity & Trend Timeframe: The timeframe used for trend calculation and swing detection. - Swing Sensitivity: How "obvious" a high or low must be to be considered a liquidity target. - Zone Importance (ATR Filter): Defines how deep the sweep must be relative to current volatility. - Show Historical Zones: Switch between a clean chart (temporary zones) and a backtesting view (historical zones). Important Notice: No indicator is 100% accurate. This tool is intended to confirm your own analysis and trading strategies. Always use proper Risk Management and do not trade based on just one indicator. I hope this tool will help you improve your trading!
Pine Script®指标
由mk77777提供
PSAR Laboratory [DAFE]PSAR Laboratory : The Ultimate Adaptive Trailing Stop & Reversal Engine 23 Advanced Algorithms. Adaptive Acceleration. Smart Flip Logic. Parabolic SAR Reimagined. █ PHILOSOPHY: WELCOME TO THE LABORATORY The standard Parabolic SAR, created by the legendary J. Welles Wilder Jr., is a tool of beautiful simplicity. But in today's complex, algorithm-driven markets, its simplicity is its fatal flaw. Its fixed acceleration and rigid flip logic cause it to fail precisely when you need it most: it whipsaws in choppy conditions and gives back too much profit in strong trends. The PSAR Laboratory was not created to be just another PSAR. It was engineered to be the definitive evolution of Wilder's original concept. This is not an indicator; it is a powerful, interactive research environment. It is a sandbox where you, the trader, can move beyond the static "one-size-fits-all" approach and forge a PSAR that is perfectly adapted to your specific market, timeframe, and trading style. We have deconstructed the very DNA of the Parabolic SAR and rebuilt it from the ground up, infusing it with modern quantitative techniques. The result is an institutional-grade suite of 23 distinct, mathematically diverse algorithms that dynamically control every aspect of the PSAR's behavior. █ WHAT MAKES THIS A "LABORATORY"? THE CORE INNOVATIONS This tool stands in a class of its own. It is a collection of what could be 23 separate indicators, all seamlessly integrated into one powerful engine. The 23 Algorithm Engine: This is the heart of the Laboratory. Instead of one rigid formula, you have a library of 23 unique mathematical engines at your command. These algorithms are not simple tweaks; they are complete re-imaginings of how the PSAR should behave, based on concepts from information theory, digital signal processing, fractal geometry, and institutional analysis. Truly Adaptive Acceleration (AF): The standard PSAR's "gas pedal" (the AF) is dumb; it accelerates at a fixed rate. Our algorithms make it intelligent. The AF can now speed up in clean, trending environments to lock in profits, and automatically slow down in choppy, chaotic conditions to avoid whipsaws. Advanced Flip Confirmation Logic: Say goodbye to noise-driven flips. You are no longer at the mercy of a single wick touching the SAR. The Laboratory provides multiple layers of flip confirmation, including requiring a bar close beyond the SAR, a volume spike to validate the reversal, or even a multi-bar confirmation . Comprehensive Noise Filtering Core: In a revolutionary step, you can apply one of over 30 advanced signal processing filters directly to the SAR output itself. From ultra-low-lag filters like the Hull MA and DAFE Spectral Laguerre to adaptive filters like KAMA and FRAMA , you can surgically remove noise while preserving the responsiveness of the core signal. Integrated Performance Engine: How do you know which of the 23 algorithms is best for your market? You test it. The built-in Performance Dashboard is a comprehensive backtesting and analytics engine that tracks every trade, providing real-time data on Win Rate, Profit Factor, Max Drawdown, and more. It allows you to scientifically validate your chosen configuration. █ A GUIDED TOUR OF THE ALGORITHMS: 23 PATHS TO AN EDGE b]These 23 algorithms are not simple settings; they are distinct mathematical philosophies for how a Parabolic SAR should adapt to the market. They are grouped into three primary categories: those that adapt the Acceleration Factor (AF) , those that enhance the Extreme Point (EP) detection, and those that redefine the Flip Logic . CATEGORY A: ACCELERATION FACTOR (AF) ADAPTATION These algorithms dynamically change the "gas pedal" of the PSAR. 1. Volatility-Scaled AF Core Concept: Treats volatility as market friction. The PSAR should be more forgiving in high-volatility environments. How It Works: It calculates a Volatility Ratio by comparing the short-term ATR to the long-term ATR. If current volatility is high (ratio > 1), it reduces the AF Step. If volatility is low (ratio < 1), it increases the AF Step to trail tighter. Ideal Use Case: The best all-rounder. Excellent for any market, especially those with clear shifts between high and low volatility regimes (like indices and crypto). 2. Efficiency Ratio (ER) AF Core Concept: The PSAR should accelerate aggressively in clean, efficient trends and slow down dramatically in choppy, inefficient markets. How It Works: It uses Kaufman's Efficiency Ratio (ER), which measures the net directional movement versus the total price movement. A high ER (near 1.0) signifies a pure trend, triggering a high AF multiplier. A low ER (near 0.0) signifies chop, triggering a low AF multiplier. Ideal Use Case: Markets that alternate between strong trends and sideways chop. It is exceptionally good at surviving ranging periods. 3. Shannon Entropy AF Core Concept: Uses Information Theory to measure market disorder. The PSAR should be conservative in chaos and aggressive in order. How It Works: It calculates the Shannon Entropy of recent price changes. High entropy means the market is unpredictable ("chaotic"), causing the AF to slow down. Low entropy means the market is organized and trending, causing the AF to speed up. Ideal Use Case: Advanced traders looking for a mathematically pure way to distinguish between a tradable trend and random noise. 4. Fractal Dimension (FD) AF Core Concept: Measures the "jaggedness" or complexity of the price path. A smooth path is a trend; a jagged, space-filling path is chop. How It Works: It calculates the Fractal Dimension of the price series. An FD near 1.0 is a smooth line (high AF). An FD near 1.5 is a random walk (low AF). Ideal Use Case: Visually identifying the moment a smooth trend begins to break down into chaotic, unpredictable movement. 5. ADX-Gated AF Core Concept: Uses the classic ADX indicator to confirm the presence of a trend before allowing the PSAR to accelerate. How It Works: If the ADX value is above a "Strong" threshold (e.g., 25), the AF accelerates normally. If the ADX is below a "Weak" threshold (e.g., 15), the AF is "frozen" and will not increase, preventing the SAR from tightening up in a non-trending market. Ideal Use Case: For classic trend-following purists who trust the ADX as their primary regime filter. 6. Kalman AF Estimator Core Concept: A sophisticated signal processing algorithm that predicts the "true" optimal AF by filtering out price "noise." How It Works: It treats the PSAR's AF as a state to be estimated. It makes a prediction, then corrects it based on how far the actual price deviates. It's like a GPS constantly refining its position. The "Process Noise" input controls how fast it thinks the AF can change, while "Measurement Noise" controls how much it trusts the price data. Ideal Use Case: Smooth, high-inertia markets like commodities or major forex pairs. It creates an incredibly smooth and responsive AF. 7. Volume-Momentum AF Core Concept: A trend's acceleration is only valid if confirmed by both volume and price momentum. How It Works: The AF will only increase if a new Extreme Point is made on above-average volume AND the Rate of Change (ROC) of the price is aligned with the trend's direction. Ideal Use Case: Any market with reliable volume data (stocks, futures, crypto). It's excellent for filtering out low-conviction moves. 8. Garman-Klass (GK) AF Core Concept: Uses a more advanced, statistically efficient measure of volatility (Garman-Klass, which uses OHLC data) to adapt the AF. How It Works: It modulates the AF based on whether the current GK volatility is higher or lower than its historical average. Unlike the standard Volatility-Scaled algo, it tends to slow down more in high volatility and speed up less in low volatility, making it more conservative. Ideal Use Case: Traders who want a volatility-adaptive model that is more focused on risk reduction during volatile periods. 9. RSI-Modulated AF Core Concept: The RSI can identify points of potential trend exhaustion or strong momentum. How It Works: If a trend is bullish but the RSI enters the "Overbought" zone, the AF slows down, anticipating a pullback. Conversely, if the RSI is in the strong momentum mid-range (40-60), the AF is boosted to trail more aggressively. Ideal Use Case: Mean-reversion traders or those who want to automatically loosen their trail stop near potential exhaustion points. 10. Bollinger Squeeze AF Core Concept: A Bollinger Band Squeeze signals a period of volatility compression, often preceding an explosive breakout. How It Works: When the algorithm detects that the Bollinger Band Width is in a "Squeeze" (below a certain historical percentile), it boosts the AF in anticipation of a fast move, allowing the PSAR to catch the breakout quickly. Ideal Use Case: Breakout traders. This algorithm primes the PSAR to be maximally responsive right at the moment a breakout is most likely. 11. Keltner Adaptive AF Core Concept: Keltner Channels provide a robust measure of a trend's "normal" volatility channel. How It Works: When price is trading strongly outside the Keltner Channel, it's considered a powerful trend, and the AF is boosted. When price falls back inside the channel, it's considered a consolidation or pullback, and the AF is slowed down. Ideal Use Case: Trend followers who use channel breakouts as their primary confirmation. 12. Choppiness-Gated AF Core Concept: Uses the Choppiness Index to quantify whether the market is trending or consolidating. How It Works: If the Choppiness Index is below the "Trend" threshold (e.g., 38.2), the AF is boosted. If it's above the "Range" threshold (e.g., 61.8), the AF is significantly reduced. Ideal Use Case: A more responsive alternative to the ADX-Gated algorithm for distinguishing between trending and ranging markets. 13. VIDYA-Style AF Core Concept: Uses a Chande Momentum Oscillator (CMO) to create a variable-speed acceleration factor. How It Works: The absolute value of the CMO is used to create a dynamic smoothing constant. Strong momentum (high absolute CMO) results in a faster, more responsive AF. Weak momentum results in a slower, smoother AF. Ideal Use Case: Momentum traders who want their trailing stop's speed directly tied to the momentum of the price itself. 14. Hilbert Cycle AF Core Concept: Uses Ehlers' Hilbert Transform to extract the dominant cycle period of the market and synchronizes the PSAR with it. How It Works: It dynamically adjusts the AF based on the detected cycle period (shorter cycles = faster AF) and can also modulate it based on the current phase within that cycle (e.g., accelerate faster near cycle tops/bottoms). Ideal Use Case: Markets with clear cyclical behavior, like commodities and some forex pairs. CATEGORY B: EXTREME POINT (EP) ENHANCEMENT These algorithms make the detection of new highs/lows more intelligent. 15. Volume-Weighted EP Core Concept: A new high or low is more significant if it occurs on high volume. How It Works: It can be configured to only accept a new EP if the volume on that bar is above average. It can also "weight" the EP by volume, pushing it further out on high-volume bars. Ideal Use Case: Filtering out weak, low-conviction price probes in markets with reliable volume. 16. Wavelet Filtered EP Core Concept: Uses wavelet decomposition (a signal processing technique) to separate the underlying trend from high-frequency noise. How It Works: It calculates a smoothed, wavelet-filtered version of the price. A new EP is only registered if the actual high/low significantly exceeds this smoothed baseline, effectively ignoring minor noise spikes. Ideal Use Case: Noisy markets where small, insignificant wicks can cause the AF to accelerate prematurely. 17. ATR-Validated EP Core Concept: A new EP should represent a meaningful move, not just a one-tick poke. How It Works: It requires a new high/low to exceed the previous EP by a minimum amount, defined as a multiple of the current ATR. This ensures only volatility-significant advances are counted. Ideal Use Case: A simple, robust way to filter out "noise" EPs and slow down the AF's acceleration in choppy conditions. 18. Statistical EP Filter Core Concept: A new EP is only valid if the price change that created it is statistically significant. How It Works: It calculates the Z-Score of the bar's price change relative to recent history. A new EP is only accepted if its Z-Score exceeds a certain threshold (e.g., 1.5 sigma), meaning it was an unusually strong move. Ideal Use Case: For quantitative traders who want to ensure their trailing stop only tightens in response to statistically meaningful price action. CATEGORY C: FLIP LOGIC & CONFIRMATION These algorithms change the very rules of when and why the PSAR reverses. 19. Dual-PSAR Gate Core Concept: Uses two PSARs—one fast and one slow—to confirm a reversal. How It Works: A flip signal for the main PSAR is only considered valid if both the fast (sensitive) PSAR and the slow (structural) PSAR have flipped. This acts as a powerful trend filter. Ideal Use Case: An excellent method for reducing whipsaws. It forces the PSAR to wait for both short-term and longer-term momentum to align before signaling a reversal. 20. MTF Coherence PSAR Core Concept: Do not flip against the higher timeframe macro trend. How It Works: It pulls PSAR data from two higher timeframes. A flip is only allowed if the new direction does not contradict the trend on at least one (or both) of those higher timeframes. It also boosts the AF when all timeframes are aligned. Ideal Use Case: The ultimate tool for multi-timeframe traders who want to ensure their entries and exits are in sync with the bigger picture. 21. Momentum-Gated Flip Core Concept: A reversal is only valid if it is supported by a significant surge of momentum. How It Works: A price cross of the SAR is not enough. The script also requires the Rate of Change (ROC) to exceed a certain threshold for a set number of bars, confirming that there is real force behind the reversal. Ideal Use Case: Filtering out weak, drifting reversals and only taking signals that are initiated with explosive power. 22. Close-Only PSAR Core Concept: Wicks are noise; the bar's close is the final decision. How It Works: This algorithm modifies the flip logic to ignore wicks. A flip only occurs if one or more bars close beyond the SAR line. Ideal Use Case: One of the most effective and simple ways to reduce false signals from volatile wicks. A fantastic default choice for any trader. 23. Ultimate PSAR Consensus Core Concept: The highest conviction signal comes from the agreement of multiple, diverse mathematical models. How It Works: This is the capstone algorithm. It runs a "vote" between a selection of the top-performing algorithms (e.g., Volatility-Scaled, Efficiency Ratio, Dual-PSAR). A flip is only signaled if a majority consensus is reached. It can even weight the votes based on each algorithm's recent performance. Ideal Use Case: For traders who want the absolute highest level of confirmation and are willing to accept fewer, but more robust, signals. █ PART II: THE NOISE FILTERING CORE - The Shield This is a revolutionary feature that allows you to apply a second layer of signal processing directly to the SAR line itself, surgically removing noise before the flip logic is even considered. FILTER CATEGORIES Basic Filters (SMA, EMA, WMA, RMA): The classic moving averages. They provide basic smoothing but introduce significant lag. Best used for educational purposes. Low-Lag Filters (DEMA, TEMA, Hull MA, ZLEMA): A family of filters designed to reduce the lag inherent in basic moving averages. The Hull MA is a standout, offering a superb balance of smoothness and responsiveness. Adaptive Filters (KAMA, VIDYA, FRAMA): These are "smart" filters. They automatically adjust their smoothing level based on market conditions. They will be very smooth in choppy markets and become highly responsive in trending markets. Advanced DSP & DAFE Filters: This is the pinnacle of signal processing. Ehlers Filters (SuperSmoother, 2-Pole, 3-Pole): Based on the work of John Ehlers, these use digital signal processing techniques to remove high-frequency noise with minimal lag. Gaussian & ALMA: These use a bell-curve weighting, giving the most importance to recent data in a smooth, non-linear fashion. DAFE Spectral Laguerre: A proprietary, non-linear filter that uses a feedback loop and adapts its "gamma" based on volatility, providing exceptional tracking in all market conditions. How to Choose a Filter Start with "None": First, find an algorithm you like with no filtering to understand its raw behavior. Introduce Low Lag: If you are getting too many whipsaws from noise, apply a short-length Hull MA (e.g., 5-8). This is often the best solution. Go Adaptive: If your market has very distinct trend/chop regimes, try an Adaptive KAMA . Maximum Purity: For the smoothest possible output with excellent responsiveness, use the DAFE Spectral Laguerre or Ehlers SuperSmoother . █ THE VISUAL EXPERIENCE: DATA AS ART The PSAR Laboratory is not just functional; it is beautiful. The visualization engine is designed to provide you with an intuitive, at-a-glance understanding of the market's state. Algorithm-Specific Theming: Each of the 23 algorithms comes with its own unique, professionally designed color palette. This not only provides visual variety but allows you to instantly recognize which engine is active. Dynamic Glow Effects: For many algorithms, the PSAR dots will emit a soft "glow." The brightness and color of this glow are not random; they are tied to a key metric of the active algorithm (e.g., trend strength, volatility, consensus), providing a subtle, visual cue about the health of the trend. Adaptive Volatility Bands: Certain algorithms will display dynamic bands around the PSAR. These are not standard deviation bands; their width is controlled by the specific logic of the active algorithm, showing you a visual representation of the market's expected range or energy level. Secondary Reference Lines: For algorithms like the Dual-PSAR or MTF Coherence, a secondary line will be plotted on the chart, giving you a clear visual of the underlying data (e.g., the slow PSAR, the HTF trend) that is driving the decision-making process. █ THE MASTER DASHBOARD: YOUR MISSION CONTROL The comprehensive dashboard is your unified command center for analysis and performance tracking. Engine Status: See the currently selected Algorithm, the active Noise Filter, the Trend direction, and a real-time progress bar of the current Acceleration Factor (AF). Algorithm-Specific Metrics: This is the most powerful section. It displays the key real-time data from the currently active algorithm. If you're using "Shannon Entropy," you'll see the Entropy score. If you're using "ADX-Gated," you'll see the ADX value. This gives you a direct, quantitative look under the hood. Performance Readout: When enabled, this section provides a full breakdown of your backtesting results, including Win Rate, Profit Factor, Net P&L, Max Drawdown, and your current trade status. █ DEVELOPMENT PHILOSOPHY The PSAR Laboratory was born from a deep respect for Wilder's original work and a relentless desire to push it into the 21st century. We believe that in modern markets, static tools are obsolete. The future of trading lies in adaptation. This indicator is for the serious trader, the tinkerer, the scientist—the individual who is not content with a black box, but who seeks to understand, test, and refine their edge with surgical precision. It is a tool for forging, not just following. The PSAR Laboratory is designed to be the ultimate tool for that evolution, allowing you to discover and codify the rules that truly fit you. █ DISCLAIMER AND BEST PRACTICES THIS IS A TOOL, NOT A STRATEGY: This indicator provides a sophisticated trailing stop and reversal signal. It must be integrated into a complete trading plan that includes risk management, position sizing, and your own contextual analysis. TEST, DON'T GUESS: The power of this tool is its adaptability. Use the Performance Dashboard to rigorously test different algorithms and settings on your chosen asset and timeframe. Find what works, and build your strategy around that data. START SIMPLE: Begin with the "Volatility-Scaled AF" algorithm, as it is a powerful and intuitive all-rounder. Once you are comfortable, begin experimenting with other engines. RISK MANAGEMENT IS PARAMOUNT: All trading involves substantial risk. The backtesting results are hypothetical and do not account for slippage or psychological factors. Never risk more capital than you are prepared to lose. "I don't think traders can follow rules for very long unless they reflect their own trading style. Eventually, a breaking point is reached and the trader has to quit or change, or find a new set of rules he can follow. This seems to be part of the process of evolution and growth of a trader." — Ed Seykota, Market Wizard Taking you to school. - Dskyz, Trade with Volume. Trade with Density. Trade with DAFE
Pine Script®指标
由DskyzInvestments提供
2
XAUUSD: Ultimate Sniper v6.0 [Order Flow & Macro]This indicator is a comprehensive trading system designed specifically for XAUUSD (Gold). It moves away from lagging indicators by combining real-time Macro-Economic sentiment, Regression Analysis, and Institutional Order Flow logic into a single professional interface. ### Core Strategy & Features: 1. Macro Correlation Filter: Gold has a strong inverse correlation with the USD (DXY) and Treasury Yields (US10Y). This script monitors them in the background. If DXY/US10Y are Bullish, Gold Buy signals are filtered out to prevent trading against the trend. 2. Linear Regression Channel: Defines the "Fair Value" of price. We only look for reversal trades when price hits the extreme Upper or Lower bands. 3. Order Flow Pressure (New): Analyzes the internal structure of each candle (Wick vs Body). A signal is only confirmed if the "Buying Pressure" or "Selling Pressure" within the candle supports the move (e.g. >50%). 4. RSI Divergence: Automatically spots Bullish and Bearish divergences to identify momentum exhaustion. ### ⚙️ Recommended Settings / Best Practices To get the best results, adjust the settings based on your trading style: 🏎️ SCALPING (1min - 5min Charts) * Goal: Quick entries, smaller targets, higher frequency. * DXY/US10Y Timeframe: Set to "15" or "30" (Reacts faster to macro changes). * Regression Length: 50 or 80 (Adapts to short-term trends). * RSI Length: 9 or 14. 🛡️ INTRADAY (15min - 1h Charts) - * Goal: Balanced trading, capturing the daily range. * DXY/US10Y Timeframe: Set to "60" (1 Hour). * Regression Length: 100 (Standard setting). * RSI Length: 14. 🦅 SWING TRADING (4h - Daily Charts) * Goal: Catching major trend reversals. * DXY/US10Y Timeframe: Set to "240" (4 Hours) or "D" (Daily). * Regression Length: 200 (Long-term trend baseline). * Channel Width: Increase to 2.5 or 3.0. ### How to Trade: - BUY Signal: Valid when the Dashboard shows "BEARISH" DXY/US10Y and the Live Pressure is "BUYERS". - SELL Signal: Valid when the Dashboard shows "BULLISH" DXY/US10Y and the Live Pressure is "SELLERS". - Risk Management: The script automatically calculates ATR-based Stop Loss (SL) and Take Profit (TP) levels.
Pine Script®指标
由dokuyucuali006提供
Keltner-Aroon-EFI FlowKeltner-Aroon-EFI Flow (KAE) KAE Flow is a quantitative composite indicator designed to identify dominant market trends by fusing three distinct dimensions of price action: Volatility, Trend Age, and Volume Pressure. Unlike standard indicators that rely on a single data point (like a moving average crossover), KAE Flow aggregates three independent logic engines into a single normalized "Flow" score. This score is then smoothed using an Arnaud Legoux Moving Average (ALMA) to filter out noise while retaining responsiveness to genuine trend reversals. This script operates strictly on the current chart timeframe, ensuring all signals are causal, non-repainting, and reliable for real-time analysis. 1. The Quantitative Engine (How it Works) The indicator polls three separate components. Each component votes "1" (Bullish), "-1" (Bearish), or "0" (Neutral). These votes are averaged to create the raw signal. K — Keltner Channels (Volatility Dimension) Concept: Measures volatility expansion. Logic: The script calculates Keltner Channels using an EMA center line and ATR bands. Bullish (+1): Price closes above the Upper Channel. Bearish (-1): Price closes below the Lower Channel. This component ensures we only trade when price is breaking out of its expected volatility range. A — Aroon (Trend Age Dimension) Concept: Measures the strength and "freshness" of a trend. Logic: We utilize the Aroon Up and Aroon Down metrics. Bullish (+1): Aroon Up is greater than Aroon Down AND Aroon Up is > 70. Bearish (-1): Aroon Down is greater than Aroon Up AND Aroon Down > 70. This filters out weak or aging trends, ensuring the move has mathematical momentum. E — Elder’s Force Index (Volume Dimension) Concept: Measures volume-weighted price change. Logic: We calculate the raw Force Index (Close - Close ) * Volume and smooth it with an EMA. Bullish (+1): Smoothed EFI > 0. Bearish (-1): Smoothed EFI < 0. This component confirms that price movement is supported by actual volume flow (accumulation/distribution). 2. Signal Processing (ALMA Smoothing) Raw aggregation can be noisy. The composite score is passed through an ALMA (Arnaud Legoux Moving Average) filter. Why ALMA? It uses a Gaussian distribution to provide smoothness without the significant lag associated with SMA or EMA. This creates the "Flow" line that resists false flips during choppy consolidation. 3. How to Use The indicator plots a signal line and dynamically colors the price bars and background to reflect the dominant bias. Deep Blue (Bullish Flow): The KAE Score is > 0.1. All three engines (or the majority) are aligned bullishly. Traders typically look for long entries or hold existing long positions. White (Bearish Flow): The KAE Score is < -0.1. The majority of engines detect bearish volatility and volume. Traders typically look for short entries. Gray (Neutral): The score is between -0.1 and 0.1. The market is in equilibrium or transition. Trend-following strategies should be paused. 4. Configuration Logic Engine: You can toggle individual components (K, A, or E) on or off to isolate specific market dimensions. Smoothing: Adjust the ALMA Window and Offset to fine-tune the sensitivity of the signal line. Lengths: Fully customizable periods for Keltner, Aroon, and EFI to adapt to different asset classes (e.g., Crypto vs. Forex).
Pine Script®指标
由D_QUANT提供
1
AI Adaptive Trend Navigator Strategy Echo EditionAI Adaptive Trend Navigator Strategy This is a professional long-only automated strategy optimized for Taiwan Index Futures (TX). Based on the LuxAlgo clustering framework, this version features advanced logic iteration for institutional-grade backtesting and execution. 1. Realistic Cost Modeling To ensure backtest reliability, this strategy is pre-configured with: Slippage: 2 ticks (Approx. 400 TWD per side). Commission: 100 TWD per side. Total Cost: 500 TWD per side. This provides a rigorous stress test for real-world trading environments. 2. State Consistency & Logic Continuity Optimized the underlying array handling to ensure "State Persistence." This eliminates the logic gaps common in real-time script execution, ensuring that historical signals are 100% consistent with live alerts. 3. Adaptive AI Clustering Utilizes K-means clustering to dynamically select the optimal ATR factors based on current market volatility, allowing the strategy to "evolve" as market regimes shift. 🧠 開發理念：追求實戰一致性的量化策略 本策略旨在為台指期（TX）提供一套具備真實參考價值的自動化系統。 ✨ Echo 版核心優化點 數據連續性迭代：修正底層邏輯，確保訊號在即時盤勢中穩定不跳斷。 真實交易成本模擬：預設 2 點滑價 與 單邊 100 TWD 手續費，單邊總成本對標 500 TWD，拒絕虛假神單，挑戰最嚴苛的回測環境。 台指期專屬參數調校：融入針對台灣市場波動特性的預設參數與過濾邏輯。 🛡️ 進階實戰過濾 空間緩衝區 (Buffer Strategy)：價格需有效突破緩衝區才觸發，精準過濾盤整雜訊。 AI 信心評分系統：只有當動能穩定度達標時才會發進場訊號。 冷卻保護機制：有效抑制訊號在洗盤區間過度頻繁跳動。 ⚠️ Disclaimer: Backtest results do not guarantee future performance.
Pine Script®策略
由EchoQuan提供
5
Euro Day StrategyThis is a false breakout reversal strategy that fades short-term breakouts when they conflict with longer-term momentum. Here's the detailed breakdown: Strategy Overview Type: Counter-trend/Fade strategy disguised as breakout trading Core Logic: Enter against immediate breakouts when longer-term momentum suggests the move is exhausted. Strategy Classification This is a FADE/EXHAUSTION strategy, NOT a breakout-following strategy Enters against the immediate breakout direction Bets on mean reversion when short-term price action diverges from longer-term momentum Works best in ranging/choppy markets where breakouts frequently fail Will get hurt in strong trending markets where breakouts are genuine This strategy is designed for intraday mean-reversion trading on instruments that tend to range (likely forex or futures). It requires markets where false breakouts are common and price tends to snap back quickly.
Pine Script®策略
由trungnam2101998提供
AI Adaptive Trend Navigator Echo EditionAI Adaptive Trend Navigator This is an advanced trend-following system optimized for high-volatility index futures (TX). Built upon the LuxAlgo clustering framework, this version introduces several critical enhancements to meet professional trading standards: 1. State Consistency Iteration Enhanced the underlying logic for dynamic arrays and User-Defined Types (UDTs) to ensure stable "State Persistence." This fix eliminates logic gaps during real-time price fluctuations, ensuring that historical backtests perfectly align with live execution. 2. Adaptive Factor Tuning (K-means) The system simulates dozens of parameter paths in real-time, using K-means clustering to automatically select the optimal factor suited for the current market volatility. 3. Advanced Practical Filters Dynamic Buffer Strategy: Filters out market noise during consolidation and early session volatility. Confidence Threshold: Only triggers signals when the AI performance score meets the required quality. Cooldown Logic: Prevents rapid signal flipping in choppy markets. 🧠 開發理念：將 AI 自適應力帶入台指期實戰 針對台指期（TX）高波動特性開發，透過機器學習演算法動態尋優，解決傳統指標參數固定的滯後性。 ✨ Echo 版核心優化點 數據連續性迭代：底層邏輯優化，確保訊號在即時盤勢中穩定不跳斷，回測與實戰高度吻合。 自適應動態尋優：透過 K-means 聚類自動鎖定當前最佳 ATR 因子。 實戰多重濾網：包含空間緩衝區 (Buffer) 與信心門檻，大幅提升訊號品質。 📊 視覺說明 🚀 Rocket: AI confirms trend momentum. ⚡ Lightning: Trend exhaustion or reversal warning. ⚠️ Disclaimer: For educational and technical analysis purposes only.
Pine Script®指标
由EchoQuan提供
Monte Carlo Simulation BandsMonte Carlo Simulation v2.4.2 Plots a one-bar-ahead price distribution band built from many simulated paths. The green band shows empirical percentiles of simulated final prices—these are distribution bounds, not a confidence interval of the mean. What It Does Simulates many one-bar price paths using a directional random walk with volatility scaling (uniform shocks, not Gaussian GBM). Plots Mean Forecast, Median Forecast, and configurable percentile bounds (default 5th/95th). Optional rolling HTF-days mean line (yellow) for trend context. Optional labels and forward projection lines. Alerts when the confirmed close breaks above or below the percentile band. Non-Repainting & HTF Behavior (Fail-Closed) All calculations are gated to confirmed bars only via explicit no_repaint_ok gate (barstate.isconfirmed). If you select an HTF Resolution, the script uses a strict request.security(..., lookahead_off, gaps_off) pipeline. If HTF data is unavailable, outputs are na—no silent fallback to chart timeframe. A separate "HTF Alignment (lagged)" plot shows the prior HTF close (htf_price ) as visual proof of no look-ahead. Volatility Source & Scaling If "Use Historical Volatility" is enabled, volatility is estimated from log returns on the selected resolution (HTF if set, otherwise chart). Annualization adapts to session type: Equities: 6.5 hours/day, 252 trading days/year Crypto: 24 hours/day, 365 days/year Substeps increase path smoothness within the same one-bar horizon—they do not extend the forecast to multiple bars. Key Inputs • Prob Up / Prob Down — Must satisfy Prob Up + Prob Down ≤ 1.0. If violated, simulation is skipped and table shows "✗ PROB>1". • # Simulations / # Substeps — Higher = smoother/more stable, but slower. Default 100×100 is a good balance. • Lower/Upper Percentile — Define the band width (e.g., 5 and 95 for a 90% distribution band). • Run On Last Bar Only — Performance mode (recommended). Skips historical computation; updates on each new confirmed bar. • Resolution (HTF) — Leave blank for chart timeframe, or set to Weekly/Monthly for HTF-aligned simulation. • Crypto 24/7 Session? — Enable for crypto markets to use correct annualization (365d, 24h). How to Use (Quickstart) Start with defaults and keep Run On Last Bar Only = true for speed. Set Prob Up and Prob Down so their sum ≤ 1.0 (e.g., 0.5 + 0.5 = 1.0 for neutral). Enable "Use Historical Volatility" and set a Volatility Lookback (e.g., 20 bars) for data-driven vol. Set Resolution (HTF) if you want the model to run on higher timeframe data (e.g., 1W). Expect updates only when a new HTF interval starts. Choose percentiles (e.g., 5 and 95) to define your distribution band width. Enable alerts for "Price Above Upper Percentile" or "Price Below Lower Percentile" to get notified of breakouts. Limitations & Disclosures Forecast horizon is one bar only. Substeps do not create a multi-bar forecast. Model uses uniform shocks with direction chosen from Prob Up/Down. This is not Geometric Brownian Motion (GBM) and is not calibrated to any option-implied distribution. Bounds are percentiles of final simulated prices, not a statistical confidence interval of the mean. HTF mode updates at the start of a new HTF interval (first chart bar where the HTF timestamp changes), so the band appears "step-like" in realtime. Historical volatility requires enough bars for the selected lookback; until then, values may be na. Performance depends on Sims × Substeps; extreme settings (e.g., 500×500) can be slow. This indicator does not predict direction—it shows a probabilistic range based on your inputs.
Pine Script®指标
由actemplet提供
Band Walk Detector TENKYO [BASIC]1. Abstract: The Computational Resolution of Cognitive Latency This publication presents the findings of the "TENKYO" Research Project , focusing on the algorithmic detection of high-probability volatility breakouts ("Band Walks") on the 15-minute timeframe. Problem Statement: Manual trading suffers from a critical "Cognitive Latency Gap." A trader cannot simultaneously process multi-dimensional variables—volatility expansion rates (derivative of variance), candle morphology (price rejection ratios), and time-weighted liquidity cycles—within the millisecond timeframe required for optimal execution. Solution: This script is not a discretionary indicator but a Hard-Coded Decision Support System . It automates the verification of market conditions using a "Piecewise Constant Parameter Model," offloading the computational burden from the human operator to the CPU. Note: This is a research release for the verification of the TENKYO logic, not a commercial product. 2. Theoretical Framework & Methodology The architecture of this script rejects the standard "Stationary Volatility Assumption" (the idea that market behavior is consistent throughout the day). Instead, it adopts a Time-Segmented Heteroskedasticity Model. A. Temporal Segmentation Logic (The Session Filter) Global forex markets exhibit distinct liquidity profiles based on the active session (London, New York, Tokyo/Sydney). A standard deviation ($\sigma$) that signals a breakout in the Asian session is often mere noise in the London session.To solve this, the script partitions the trading day into four distinct phases ($S_1, S_2, S_3, S_4$) and applies a Dynamic Parameter Matrix: ・ Logic: $P(t) = \{ \text{Length}_i, \text{Mult}_i, \text{Threshold}_i \}$ where $t \in S_i$ ・ Implementation: The script contains an extensive if-else structure that automatically swaps the Lookback Period and Deviation Multiplier based on the timestamp. This allows the algorithm to "tighten" or "loosen" its sensitivity relative to expected market volume. B. Synthetic Execution Modeling (Bid/Ask Simulation) TradingView's default variables (close, high, low) represent mid-market data, which fails to account for the spread cost inherent in execution. ・Correction: This algorithm internally calculates synthetic Bid and Ask prices using a defined spread factor ($\Delta$). ・Formula: $$P_{Ask} = P_{Mid} + (\Delta / 2), \quad P_{Bid} = P_{Mid} - (\Delta / 2)$$ 3. Algorithmic Core: The "TENKYO" Logic The script identifies a "Band Walk" only when three independent layers of logic align perfectly. Layer 1: The Volatility Impulse (Expansion) The primary trigger is not merely price crossing a band, but the acceleration of the Band Width. ・Condition: The algorithm monitors the differential of the Upper and Lower bands. A signal is generated only if the expansion velocity exceeds a predefined Pips threshold (bwGrow_px) specifically tuned for the current session $S_i$. Layer 2: Morphological Rejection Filtering (Wick Analysis) To filter out "Mean Reversion Traps" (False Breakouts), the script analyzes the morphology of the signal candle using a Wick-to-Body Ratio test. ・The Trap: A candle that breaks the band but closes with a long rejection wick indicates exhausted momentum. ・The Filter: Let $R_{wb} = \text{Body} / \text{RejectionWick}$. If $R_{wb} < \text{Threshold}_{Si}$,, the signal is suppressed.This mathematical filter prevents the user from entering trades where the market sentiment has already reversed within the candle's duration.Layer 3: The "Scramble" State (Momentum Continuity) The script introduces a unique state machine called "Scramble." ・Purpose: To detect re-entry opportunities during a high-momentum trend. ・Mechanism: If the market enters an "Endure" state (a pause in expansion) but validates specific continuity conditions (price remains within the $2\sigma$ corridor without violating the trend vector), the algorithm flags a "Scramble" signal. This effectively distinguishes between a "Trend Reversal" and a "Trend Pause." 4. Operational Features & Visual Guide This tool is designed to serve as a rigorous "Filter" for manual trading. ・The "Mushy" Zone: Visualized by a gray fill between bands. This represents a low-kurtosis, mean-reverting market state where trend-following strategies are statistically disadvantageous. The algorithm disables all signals in this zone. ・Secure & Breakeven Visualization: The script projects potential exit points based on Maximum Favorable Excursion (MFE) logic calculated from the entry bar's synthetic price. This assists the user in objective trade management. ・Hard-Coded Optimization: Users will notice that many parameters are locked or preset. This is intentional. These values are derived from extensive backtesting on EURUSD and JPY pairs and serve as the "Control" variables for this research. 5. Conclusion The Band Walk Detector TENKYO is a comprehensive logical framework that integrates time, volatility, and morphology. It denies the simplistic "one-size-fits-all" approach of standard indicators in favor of a granular, session-adaptive model. It provides the trader with a computationally verified "Go/No-Go" signal, bridging the gap between human intuition and algorithmic precision.
Pine Script®指标
由bonno_original提供
Options Visualizer: Smart Money Barriers [V6]Options Visualizer: Institutional Barriers & Expected Move The Options Visualizer is analysis tool designed for traders who want to gain an edge by monitoring the "Smart Money" (options market makers and institutional hedgers). This script helps you visualize key option market dynamics directly on your chart, allowing you to see statistical support/resistance levels and massive "walls" of liquidity. Key Features 1. Institutional Walls (Manual Mode) Input high Open Interest (OI) data from exchanges like Deribit or Coinglass. Call Wall (Resistance): The strike price with the highest concentration of Call options. Market makers often defend these levels to prevent paying out buyers. Put Wall (Support): The strike price with the highest concentration of Put options, acting as a "floor" for price action. 2. Auto-Probability Mode (Statistical Barriers) Enable Auto Mode to calculate theoretical barriers based on a 2-Standard Deviation (95% Probability) model. This visualizes the "extreme" ends of market expectations, where a reversal or significant resistance is mathematically likely. 3. Expected Move (68% Range Box) The blue dotted box represents the 1-Standard Deviation (68% probability) move. Historically, 68% of the time, the price at expiration will settle within this range. Staying outside this box signals an "over-extended" market. The Math Behind the Magic The script utilizes the standard Expected Move formula used by professional floor traders: Expected Move = Current Price * (IV / 100) * SquareRoot(Days To Expiry / 365) 68% Probability (The Blue Box): Derived from 1-Standard Deviation (1-Sigma). It assumes a normal distribution of price returns. 95% Probability (Auto Mode Walls): Derived from 2-Standard Deviations (2-Sigma). This covers the vast majority of expected market outcomes, making these levels powerful institutional-grade support and resistance zones. Implied Volatility (IV): Unlike historical volatility, IV represents the market's forward-looking "fear gauge" based on option pricing. How to Use This Tool 1. Setup: Look up the current Implied Volatility (IV) and Max Pain/Open Interest for your asset (use Coinglass or Deribit Metrics). 2. Inputs: Enter the Days Until Expiration (e.g., if monthly options expire this Friday, enter the remaining days). Enter the IV % (e.g., 55 for 55%). 3. Execution: Trend Trading: If price stays within the Blue Box, the trend is "normal." Mean Reversion: If price hits the Call/Put Wall (Red/Green dashed lines), look for exhaustion and potential reversal signals. Breakouts: A sustained candle close outside the 95% Auto Walls suggests a "Black Swan" event or a massive short/gamma squeeze. Why Use This Tool? Traditional indicators (RSI, MACD) look at the past. This tool looks at current market expectations and positioning. By seeing where the "walls" are built, you can significantly improve your risk management and trading edge. MANUAL: Mode 1: Manual Institutional Data (Recommended for Specific Expiries) This mode uses real-world Open Interest (OI) data, offering the most accurate view of where large institutions are actively defending their positions.¨ 🛑 How to use the Manual Mode: 1. Disable the Enable Auto Probability Mode checkbox in the indicator settings. 2. Find the Data: Navigate to specialized crypto options analytics websites: Coinglass Options (Look for "Open Interest by Strike") Deribit Metrics (Look for Max Pain charts) 3. Identify Key Levels & Input them into the script settings: Manual Call Wall Strike: Find the Highest Red Bar on the OI chart. This is the strike price with the most Call options, acting as massive institutional resistance. Manual Put Wall Strike: Find the Highest Green Bar on the OI chart. This is the strike price with the most Put options, acting as a solid price floor (support). Manual Max Pain Level: Locate the value labeled as Max Pain on the source website. This is the price where the most options would expire worthless for buyers. Mode 2: Auto Probability Barriers (Statistical Mode) If you don't want to manually input data, the Auto Mode calculates theoretical barriers based purely on math and volatility, providing highly probable, yet slightly less precise, support/resistance levels. ✅ How to use the Auto Mode: Enable the Enable Auto Probability Mode checkbox in the indicator settings. The script will automatically set the Call/Put Walls at the 2-Standard Deviation (95% probability) range. You still need to update the Implied Volatility (IV) % and Days Until Expiration to ensure the calculations are accurate for today's market conditions.
Pine Script®指标
由mk77777提供
Smart TrendSmart Trend — TradingView Indicator Documentation © 2026 Arup Sarkar Indicator Name: Smart Trend Version: 1.0 What It Does Smart Trend is a trend detection and momentum analysis indicator for TradingView. It identifies high-probability trend flips, strong momentum moves, volatility expansions, and short-term counter-trend signals. It combines: - Current timeframe trend lines (EMA + SMA) - Higher timeframe EMA context (1H + 4H + Daily) - ATR-based dynamic exits - Volume confirmation Smart Trend is designed to: - Detect trend changes early - Confirm momentum strength - Highlight weakening trends before reversals - Keep charts clean and actionable How It Works 1. Trend Detection: Trend Line (EMA21 + SMA50): represents current trend direction 2. Higher Timeframe EMA (HTF EMA 1H): confirms alignment Trend Conditions: - Uptrend: candle closes above trend line and HTF EMA - Downtrend: candle closes below trend line and HTF EMA - Choppy / Flat: neither uptrend nor downtrend 2. Momentum Strength - Calculated using slope of trend line EMA - Candle colors indicate momentum: * Bullish: green, opacity based on strength * Bearish: red, opacity based on strength * Neutral / Choppy: grey 3. Alerts - Smart Trend sends alerts once per confirmed condition on candle close: - Uptrend Flip (U) — 2-candle confirmation, trend turns bullish - Downtrend Flip (D) — 2-candle confirmation, trend turns bearish - Strong Bullish Momentum — trend up + ATR breakout + volume confirmation - Strong Bearish Momentum — trend down + ATR breakout + volume confirmation - Volatility Expansion — ATR rising - Volatility Expansion After Squeeze — breakout after low-volatility period - Counter-Trend Up — short-term uptrend vs HTF downtrend - Counter-Trend Down — short-term downtrend vs HTF uptrend 4. ATR Dynamic Exits - ATR (Average True Range) over last 50 days is used to calculate dynamic stop levels - Plots longExit and shortExit levels - Helps traders manage risk dynamically based on market volatility 5. Visuals - Trend Line: colored by direction (green/red/gray) - Smoothed 4H+1D EMA: thin orange line for higher timeframe context - Labels: “U” for uptrend flips, “D” for downtrend flips - Counter-trend signals: small triangles above/below bars - ATR exit lines: semi-transparent for clean chart Benefits - Detects trend reversals early - Confirms strong momentum moves - Highlights weakening trends using volume and ATR - Provides dynamic exit levels for risk management - Keeps chart clean and readable - Alerts are actionable and trigger once per pattern confirmation Conclusion Smart Trend is an all-in-one trend and momentum tool for traders who want: - Early detection of trend flips - High-probability momentum signals - Volatility-aware trade management - Minimal visual clutter with maximum actionable insights Smart Trend can be combined with support/resistance levels, higher timeframe analysis, and other indicators to increase confidence and improve trade decisions.
Pine Script®指标
由arupnj2018提供
Dynamic Strike Selection Indicator [ARJO]Dynamic Strike Selection Indicator OVERVIEW The Dynamic Strike Selection Indicator is a visual analysis tool designed for traders observing NSE (National Stock Exchange of India) instruments, particularly those interested in options. It displays a trend-based oscillator in the lower chart pane and automatically calculates option strike prices , presenting them in an easy-to-read table. The indicator helps users observe trend changes and understand how option strikes might be selected based on current market conditions. IT has a dashboard that shows you: Where the trend might be heading (through the oscillator) What option strikes align with the current price level When trend transitions occurred CONCEPTS This indicator combines several technical analysis concepts in a beginner-friendly format: 1. Trend Observation (Chandelier Exit) The indicator uses a method called "Chandelier Exit" which observes price volatility to identify potential trend directions. When the indicator shows green, it suggests an upward trend pattern; red suggests a downward pattern. These are reference points, not predictions. 2. Smoothed Price Movement Raw price data can be noisy. This indicator applies mathematical smoothing (called "Ehlers 2-Pole filter") to reduce short-term fluctuations, making it easier to observe the underlying trend direction. 3. Momentum Oscillator The oscillator (displayed as bars and lines in the lower pane) shows the difference between smoothed price and its moving average. Positive values suggest upward momentum; negative values suggest downward momentum . This is similar to how MACD or LBR works. 4. Strike Price Calculation For option traders , the indicator automatically calculates: ATM (At-The-Money): The strike price closest to the current underlying price OTM (Out-of-The-Money): Strike prices at a distance from ATM, based on your settings These calculations use standard rounding methods based on each instrument's official strike interval. FEATURES Visual Components: Color-Coded Oscillator: Green/teal for potential uptrend, purple/red for potential downtrend Histogram Display: Visual bars showing momentum strength Chandelier Exit Lines: Plotted on the main price chart as reference levels Information Table: Displays calculated strikes, timestamps, and optional tracking data Supported Instruments: Major indices: NIFTY, BANKNIFTY Popular stocks: RELIANCE, HDFCBANK, ICICIBANK, INFY, TCS, SBIN, and more Any NSE instrument (using manual strike interval setting) Flexible Configuration: Choose between "Sell Mode" and "Buy Mode" perspectives Customize strike interval for any instrument Adjust sensitivity of trend detection Modify visual appearance (colors, table position, text size) Track entry prices and observe P&L calculations (for reference only) Features: Automatic strike interval detection for predefined instruments Manual override option for custom requirements Real-time option premium fetching (where available) Timestamp recording of trend transitions Active trade highlighting based on current trend HOW TO USE Step 1: Adding the Indicator Open your TradingView chart with an NSE instrument (e.g., NIFTY, BANKNIFTY, or any stock) Search for " Dynamic Strike Selection Indicator " in the Indicators menu Click to add it to your chart You'll see an oscillator appear in a pane below your price chart and a table in the corner Step 2: Basic Settings Click the settings (gear icon) on the indicator. Here are the key settings to understand: Symbol Settings: Symbol Source: Keep it on " Use Chart Symbol " to analyze whatever instrument is on your chart Custom Symbol: Only change if you want to analyze a different instrument while viewing another chart Expiry Date: Set the expiry date of the option contracts you're observing Use the dropdown menus for Day, Month, and Year Example: For 30th January 2025, select Day: 30, Month: 01, Year: 25 Trade Entry (Optional): Trade Mode: Choose "Sell" or "Buy" based on your observation perspective Lot Size: Enter your intended lot size for P&L calculation reference PUT/CALL Entry Price: Manually enter prices if you want to track reference P&L OTM Strike Distance: Default is 4 (means 4 strikes away from ATM) Increase for further OTM strikes, decrease for closer strikes Step 3: Understanding the Display The Oscillator (Lower Pane): Green/Teal Bars: Suggest bullish momentum characteristics Purple/Red Bars: Suggest bearish momentum characteristics Zero Line: The reference point - above suggests strength, below suggests weakness Color Change: When the oscillator changes from red to green (or vice versa), it indicates a potential trend transition Active Row Highlighting: In Sell Mode: Green background on PUT row during uptrend, Red background on CALL row during downtrend In Buy Mode: Green background on PUT row during downtrend, Red background on CALL row during uptrend This helps you observe which strike aligns with the current trend direction Visual Customization: Change oscillator colors under "Color Settings" Adjust table position, size, and transparency under "Table Settings" Modify table colors to match your chart theme NOTES FOR BEGINNERS Start Simple: Use default settings first. Don't change too many parameters initially. Paper Trade First: Observe the indicator for several days before considering any real trades. Note how often trend transitions occur and how strikes align. Understand Your Instrument: Know the strike interval for your chosen stock/index. NIFTY/BANKNIFTY use 100, most stocks use 10, 20, or 50. Timeframe Matters: The indicator behaves differently on different timeframes. A 5-minute chart will show more transitions than a 1-hour chart. Use with Other Analysis: This indicator is one tool among many. Combine with price action, support/resistance, and volume analysis. Don't Chase: Just because a transition occurs doesn't mean you must act. Observe the quality of the move. Backtest Observations: Use TradingView's replay feature to observe how the indicator performed historically. CONCLUSION The Dynamic Strike Selection Indicator serves as an educational tool for observing trend-based oscillator patterns and understanding how option strikes might be mathematically selected based on current market conditions. It combines visual trend analysis with structured strike price calculations, helping users study the relationship between momentum patterns and option strike references. The indicator is designed to enhance chart interpretation skills and provide transparency into strike selection methodologies. It does not predict future price movements or guarantee any outcomes. Users are encouraged to use it as one component of a broader analytical approach, always conducting independent research and maintaining realistic expectations about market analysis tools. DISCLAIMER This indicator is strictly for educational and analytical observation purposes. It is NOT a trading system, signal generator, or financial advisory service. What This Indicator Does NOT Do: Does not predict future price movements with certainty Does not guarantee profitable trades or outcomes Does not constitute financial, investment, or trading advice Does not replace the need for independent research and analysis Does not eliminate trading risks or ensure success What You Must Understand: All calculated strikes, P&L values, and trend observations are informational references only Option trading involves substantial risk and can result in complete loss of invested capital Past indicator performance does not predict future results Trend transitions shown are historical observations, not predictions The "active" highlighting is a visual reference tool, not a trade recommendation Conduct thorough independent research before taking any trading decision. and consult qualified, licensed financial professionals for personalized advice. The creator of this indicator is not a registered investment advisor, broker, or financial planner. This tool is provided "as is" without warranties of any kind. By using this indicator, you acknowledge that you understand these risks and limitations, and you agree that all trading decisions and their consequences are solely your responsibility. If you do not fully understand these risks or are unsure about options trading, do not use this indicator for live trading .
Pine Script®指标
由ARJO_2019提供
[CodaPro] Multi-Timeframe RSI Dashboard v1.1 v1.1 Update - Fixed Panel Positioning After initial release, I realized the indicator was displaying overlayed on the price chart instead of in its own panel. This has been corrected! Changes: - Fixed: Indicator now displays in separate subpanel below price chart (much cleaner!) - Improved: 5min and 1H RSI lines are now bold and prominent for easier reading - Improved: 15min, 4H, and Daily lines are subtle/transparent for context - Updated: Default levels changed to 40/60 (tighter, high-conviction signals) - Updated: All 5 timeframes now active by default (toggle any off in settings) Thanks for the patience on this quick fix! The indicator should now display properly in its own panel below your price chart. If you were using v1.0, please remove it from your chart and re-add the updated version. Happy trading! Multi-Timeframe RSI Dashboard This indicator displays RSI (Relative Strength Index) values from five different timeframes simultaneously in a clean dashboard format, helping traders identify momentum alignment across multiple time periods. ═══════════════════════════════════════ FEATURES ✓ Displays RSI for 5 customizable timeframes ✓ Color-coded status indicators (Oversold/Neutral/Overbought) ✓ Clean table display positioned in chart corner ✓ Fully customizable RSI length and threshold levels ✓ Works on any instrument and timeframe ✓ Real-time updates as price moves ✓ Smart BUY/SELL signals with cooldown system ✓ Non-repainting - signals never disappear after appearing ═══════════════════════════════════════ HOW IT WORKS The indicator calculates the standard RSI formula for each selected timeframe and displays the results in both a graph and organized table. Default timeframes are: - 5-minute - 15-minute - 1-hour - 4-hour (optional - hidden by default) - Daily (optional - hidden by default) Visual Display: - Graph shows all RSI lines in subtle, transparent colors - Lines don't overpower your price chart - Dashboard table shows exact values and status Color Coding: - GREEN = RSI below 32 (traditionally considered oversold) - YELLOW = RSI between 32-64 (neutral zone) - RED = RSI above 64 (traditionally considered overbought) All timeframes and thresholds are fully adjustable in the indicator settings. ═══════════════════════════════════════ SIGNAL LOGIC BUY Signal: - Triggers when ALL 3 primary timeframes drop below the buy level (default: 32) - Arrow appears near the RSI lines for easy identification - 120-minute cooldown prevents signal spam SELL Signal: - Triggers when ALL 3 primary timeframes rise above the sell level (default: 64) - Arrow appears near the RSI lines for easy identification - 120-minute cooldown prevents signal spam The cooldown system ensures you only see HIGH-CONVICTION signals, not every minor fluctuation. ═══════════════════════════════════════ SCREENSHOT FEATURES VISIBLE - Multi-timeframe RSI lines (5min, 15min, 1H) in subtle colors - Smart BUY/SELL signals with cooldown system - Real-time dashboard showing current RSI values - Clean, professional design that doesn't clutter your chart ═══════════════════════════════════════ DEFAULT SETTINGS - Buy Signal Level: 32 (all 3 timeframes must cross below) - Sell Signal Level: 64 (all 3 timeframes must cross above) - Signal Cooldown: 24 bars (120 minutes on 5-min chart) - Active Timeframes: 5min, 15min, 1H (4H and Daily can be enabled) - RSI Length: 14 periods (standard) ═══════════════════════════════════════ CUSTOMIZABLE SETTINGS - RSI Length (default: 14) - Oversold Level (default: 32) - Overbought Level (default: 64) - Buy Signal Level (default: 32) - Sell Signal Level (default: 64) - Signal Cooldown in bars (default: 24) - Five timeframe selections (fully customizable) - Toggle visibility for each timeframe - Toggle dashboard table on/off - Toggle arrows on/off ═══════════════════════════════════════ HOW TO USE 1. Add the indicator to your chart 2. Customize timeframes in settings (optional) 3. Adjust RSI length and threshold levels (optional) 4. Monitor the dashboard for multi-timeframe alignment INTERPRETATION: When multiple timeframes show the same condition (all oversold or all overbought), it can indicate stronger momentum in that direction. For example: - Multiple timeframes showing oversold may suggest a potential bounce - Multiple timeframes showing overbought may suggest potential weakness However, RSI alone should not be used as a standalone signal. Always combine with: - Price action analysis - Support/resistance levels - Trend analysis - Volume confirmation - Other technical indicators ═══════════════════════════════════════ EDUCATIONAL BACKGROUND RSI (Relative Strength Index) was developed by J. Welles Wilder Jr. and introduced in his 1978 book "New Concepts in Technical Trading Systems." It measures the magnitude of recent price changes to evaluate overbought or oversold conditions. The RSI oscillates between 0 and 100, with readings: - Below 30 traditionally considered oversold - Above 70 traditionally considered overbought - Around 50 indicating neutral momentum Multi-timeframe analysis helps traders understand whether momentum conditions are aligned across different time horizons, potentially providing more robust signals than single-timeframe analysis alone. ═══════════════════════════════════════ NON-REPAINTING GUARANTEE This indicator uses confirmed bar data to prevent repainting: - All RSI values are calculated from previous bar's close - Signals only fire when the bar closes (not mid-bar) - What you see in backtest = what you get in live trading - No signals will disappear after they appear This is critical for reliable trading signals and accurate backtesting. ═══════════════════════════════════════ VISUAL DESIGN PHILOSOPHY The indicator is designed with a "less is more" approach: - Transparent RSI lines (60% opacity) keep price candles as the focal point - Thin lines reduce visual clutter - Arrows positioned near RSI levels (not floating randomly) - Background flashes provide extra visual confirmation - Dashboard table is compact and non-intrusive The goal is to provide powerful multi-timeframe analysis without overwhelming your chart. ═══════════════════════════════════════ TECHNICAL NOTES - Uses standard request.security() calls for multi-timeframe data - Non-repainting implementation with proper lookahead handling - Minimal performance impact - Compatible with all instruments and timeframes - Written in Pine Script v6 ═══════════════════════════════════════ IMPORTANT DISCLAIMERS - This is an educational tool for technical analysis - Past RSI patterns do not guarantee future results - No indicator is 100% accurate - Always use proper risk management - Consider multiple factors before making trading decisions - This indicator does not provide buy/sell recommendations - Consult with a qualified financial advisor before trading ═══════════════════════════════════════ LEARNING RESOURCES For traders new to RSI, consider studying: - J. Welles Wilder's original RSI methodology - RSI divergence patterns - RSI in trending vs ranging markets - Multi-timeframe analysis techniques ═══════════════════════════════════════ Disclaimer This tool was created using the CodaPro Pine Script architecture engine — designed to produce robust trading overlays, educational visuals, and automation-ready alerts. It is provided strictly for educational purposes and does not constitute financial advice. Always backtest and demo before applying to real capital.
Pine Script®指标
由ArisCodes提供
1
BBW Advanced (Percentiles & Regime)Bollinger BandWidth Advanced (Percentiles & Regime) Description This indicator is an advanced implementation of Bollinger BandWidth (BBW) focused on volatility regimes, not trade signals. Unlike the standard BBW, which relies on fixed thresholds or recent highs/lows, this version uses statistical percentiles and normalization to adapt automatically to different assets and timeframes. Its purpose is to identify abnormal volatility compression and expansion and, more importantly, the transitions between regimes. Key Improvements Over Standard BBW 1. Percentile-based thresholds Instead of arbitrary levels, BBW is evaluated relative to its own historical distribution: Low percentile (e.g. 5th) → extreme compression High percentile (e.g. 95th) → extreme expansion This makes the indicator adaptive and statistically meaningful across markets. 2. Volatility normalization BBW is normalized by its own historical mean, allowing comparison across: Different instruments Different timeframes A normalized value around 1 represents “normal” volatility for that market. 3. Regime classification instead of signals The indicator does not generate buy/sell signals. It classifies the market into volatility regimes and highlights regime transitions, which must be interpreted together with price structure. How to Interpret the Indicator Blue Line – BBW Raw Bollinger BandWidth value. Represents relative volatility only. Not a trading trigger. Green Line – Low Percentile (Extreme Compression) Marks statistically rare low-volatility conditions. Price is compressed; energy is building, but direction is unknown. Red Line – High Percentile (Extreme Expansion) Marks unusually high volatility. Often associated with breakouts, trends, or late-stage moves. Orange Line – Normalized BBW Shows current volatility relative to its historical average: Below ~0.7 → very low volatility Around 1.0 → normal volatility Above ~1.5 → unusually high volatility Background Colors Green background → BBW is below the low percentile (extreme compression) Red background → BBW is above the high percentile (extreme expansion) Background colors indicate market state, not entries. Practical Use Extreme compression highlights environments where breakouts may develop, but does not predict direction The most useful moment is the exit from compression, when volatility starts expanding again Always combine with price action, structure, and context BBW should be treated as a condition filter, never as a standalone strategy Important Notes This indicator measures volatility only, not trend or bias Compression does not guarantee a breakout Expansion does not guarantee continuation Misuse as a signal generator will lead to poor results
Pine Script®指标
由danavillanueva提供
Uptrend Pullback (High Winrate-ish) - RSI + EMA + ATR TrailUptrend Pullback Strategy (EMA Filter + RSI Reversal + ATR Trailing Stop) Description This strategy is designed for rising markets and trades long only. It uses a simple trend filter and a pullback entry: Trend filter: An uptrend is defined when EMA(50) > EMA(200) and price is above EMA(200). Trades are allowed only under these conditions. Entry (buy the dip): A long position is opened when RSI crosses up above a user-defined pullback level (default 40), suggesting a pullback is ending and momentum is recovering. Exits: Take profit: Close the position when RSI reaches an overbought level (default 70). Risk management: A dynamic ATR-based trailing stop follows price upward to lock in gains. Hard stop: An additional ATR-based stop acts as a safety net to limit downside risk. Notes Parameters (EMA lengths, RSI levels, ATR multipliers) are fully configurable. This is a demo/reference strategy for research and optimization; results depend strongly on the symbol and timeframe. If you want, I can also write a shorter “one-liner” description and a set of tag keywords for the publish page.
Pine Script®策略
由momomonga提供