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My Swift-like Algo ALIMOJANIDSwift Algo Chart is a trend-following trading indicator designed to provide clear bias, precise entries, and visual risk management. It combines EMA trend direction, pullback-based signals, market structure (HH/HL/LH/LL), and ATR-based Stop Loss & Take Profit levels to help traders make disciplined decisions. ๐Ÿ”‘ Key Features Trend Regime Detection Identifies LONG, SHORT, or NO TRADE conditions using Fast & Slow EMAs. Pullback Entry Signals Signals appear only in the direction of the active trend, with optional RSI confirmation. ATR-Based Risk Levels Automatically plots SL, TP1, and TP2, including exact price values on the chart. Preview Levels Shows projected SL/TP levels when a trend is active, even before an entry. Market Structure Visualization Marks HH / HL / LH / LL, draws structure lines, and highlights BOS and CHOCH. Clean & Non-Repainting Logic Uses confirmed pivots and closed candles for stability. Strategy-Compatible Can be used for discretionary trading or full strategy backtesting. ๐Ÿง  Best Used For Crypto, Forex, Indices 15m to 4H timeframes Traders who want structure + trend + risk clarity in one tool
Strategi Pine Scriptยฎ
oleh Jean1876
My Swift-like Algo J.ALIMOJANIDSwift Algo Chart โ€” Trend, Structure & ATR Risk Swift Algo Chart is a trend-following trading indicator designed to provide clear bias, precise entries, and visual risk management. It combines EMA trend direction, pullback-based signals, market structure (HH/HL/LH/LL), and ATR-based Stop Loss & Take Profit levels to help traders make disciplined decisions. ๐Ÿ”‘ Key Features Trend Regime Detection Identifies LONG, SHORT, or NO TRADE conditions using Fast & Slow EMAs. Pullback Entry Signals Signals appear only in the direction of the active trend, with optional RSI confirmation. ATR-Based Risk Levels Automatically plots SL, TP1, and TP2, including exact price values on the chart. Preview Levels Shows projected SL/TP levels when a trend is active, even before an entry. Market Structure Visualization Marks HH / HL / LH / LL, draws structure lines, and highlights BOS and CHOCH. Clean & Non-Repainting Logic Uses confirmed pivots and closed candles for stability. Strategy-Compatible Can be used for discretionary trading or full strategy backtesting. ๐Ÿง  Best Used For Crypto, Forex, Indices 15m to 4H timeframes Traders who want structure + trend + risk clarity in one tool
Strategi Pine Scriptยฎ
oleh Jean1876
Bullish, Bearish, & Normal RSI1. Identifying "True" Momentum (The Aqua/Fuchsia Logic)The most useful part of this script is the comparison between the three lines.Bullish Conviction (Aqua): When both the Bullish and Bearish lines are above the Normal RSI, it suggests that even on "down" candles (red candles), the price isn't losing significant ground. The overall structure is buoyant.Bearish Conviction (Fuchsia): When both are below the Normal RSI, it indicates that even when you get "up" candles (green candles), they lack the strength to lift the average momentum. The sellers are effectively "smothering" the bounces. 2. Spotting Hidden Weakness/Strength (Spread Analysis)The "Spread" (the gap between rsiBull and rsiBear) provides a unique utility:ScenarioInterpretationUtilityWide SpreadHigh volatility and indecision. Green candles are very strong, but red candles are also very weak.Avoid trend-following; wait for a "squeeze" or narrowing.Tight SpreadHigh agreement in price action. Most candles are moving in a similar direction or with similar intensity.Great for identifying stable, trending moves with low noise.Bull/Bear CrossIf the Bullish RSI crosses above the Bearish RSI significantly.Can act as an early entry signal before the Standard RSI hits the 50-midline. 3. Practical Strategy Use CasesFilter for Breakouts: If you see a price breakout but the RSI color remains Gray, the move might lack "conviction." You ideally want to see the color flip to Aqua (for long) or Fuchsia (for short) as the breakout occurs.Exhaustion Signal: If the Normal RSI is overbought ($>70$) but the rsiBull begins to dip toward the rsiNormal, it suggests that the "green candle strength" is waning even if the price is staying highโ€”a potential warning of a reversal.Potential Drawbacks to WatchLag: Like all RSI-based indicators, this is lagging. Because you are using a 14-period lookback on three different calculations, it may take a few bars to confirm a sentiment shift.Whipsaw in Sideways Markets: In a tight range-bound market, the color may flip between Aqua and Fuchsia rapidly, creating "noise."Pro-Tip: This indicator would be most effective when used in conjunction with Volume. If you get an "Aqua" signal on rising volume, the probability of a sustained trend is significantly higher.
Indikator Pine Scriptยฎ
oleh GTR511
Multi Cycles Slope-Fit System MLMulti Cycles Predictive System : A Slope-Adaptive Ensemble Executive Summary: The MCPS-Slope (Multi Cycles Slope-Fit System) represents a paradigm shift from static technical analysis to adaptive, probabilistic market modeling. Unlike traditional indicators that rely on a single algorithm with fixed settings, this system deploys a "Mixture of Experts" (MoE) ensemble comprising 13 distinct cycle and trend algorithms. Using a Gradient-Based Memory (GBM) learning engine, the system dynamically solves the "Cycle Mode" problem by real-time weighting. It aggressively curve-fits the Slope of component cycles to the Slope of the price action, rewarding algorithms that successfully predict direction while suppressing those that fail. This is a non-repainting, adaptive oscillator designed to identify market regimes, pinpoint high-probability reversals via OB/OS logic, and visualize the aggregate consensus of advanced signal processing mathematics. 1. The Core Philosophy: Why "Slope" Matters: In technical analysis, most traders focus on Levels (Price is above X) or Values (RSI is at 70). However, the primary driver of price action is Momentum, which is mathematically defined as the Rate of Change, or the Slope. This script introduces a novel approach: Slope Fitting. Instead of asking "Is the cycle high or low?", this system asks: "Is the trajectory (Slope) of this cycle matching the trajectory of the price?" The Dual-Functionality of the Normalized Oscillator The final output is a normalized oscillator bounded between -1.0 and +1.0. This structure serves two critical functions simultaneously: Directional Bias (The Slope): When the Combined Cycle line is rising (Positive Slope), the aggregate consensus of the 13 algorithms suggests bullish momentum. When falling (Negative Slope), it suggests bearish momentum. The script measures how well these slopes correlate with price action over a rolling lookback window to assign confidence weights. Overbought / Oversold (OB/OS) Identification: Because the output is mathematically clipped and normalized: Approaching +1.0 (Overbought): Indicates that the top-weighted algorithms have reached their theoretical maximum amplitude. This is a statistical extreme, often preceding a mean reversion or trend exhaustion. Approaching -1.0 (Oversold): Indicates the aggregate cycle has reached maximum bearish extension, signaling a potential accumulation zone. Zero Line (0.0): The equilibrium point. A cross of the Zero Line is the most traditional signal of a trend shift. 2. The "Mixture of Experts" (MoE) Architecture: Markets are dynamic. Sometimes they trend (Trend Following works), sometimes they chop (Mean Reversion works), and sometimes they cycle cleanly (Signal Processing works). No single indicator works in all regimes. This system solves that problem by running 13 Algorithms simultaneously and voting on the outcome. The 13 "Experts" Inside the Code: All algorithms have been engineered to be Non-Repainting. Ehlers Bandpass Filter: Extracts cycle components within a specific frequency bandwidth. Schaff Trend Cycle: A double-smoothed stochastic of the MACD, excellent for cycle turning points. Fisher Transform: Normalizes prices into a Gaussian distribution to pinpoint turning points. Zero-Lag EMA (ZLEMA): Reduces lag to track price changes faster than standard MAs. Coppock Curve: A momentum indicator originally designed for long-term market bottoms. Detrended Price Oscillator (DPO): Removes trend to isolate short-term cycles. MESA Adaptive (Sine Wave): Uses Phase accumulation to detect cycle turns. Goertzel Algorithm: Uses Digital Signal Processing (DSP) to detect the magnitude of specific frequencies. Hilbert Transform: Measures the instantaneous position of the cycle. Autocorrelation: measures the correlation of the current price series with a lagged version of itself. SSA (Simplified): Singular Spectrum Analysis approximation (Lag-compensated, non-repainting). Wavelet (Simplified): Decomposes price into approximation and detail coefficients. EMD (Simplified): Empirical Mode Decomposition approximation using envelope theory. 3. The Adaptive "GBM" Learning Engine This is the "Machine Learning" component of the script. It does not use pre-trained weights; it learns live on your chart. How it works: Fitting Window: On every bar, the system looks back 20 days (configurable). Slope Correlation: It calculates the correlation between the Slope of each of the 13 algorithms and the Slope of the Price. Directional Bonus: It checks if the algorithm is pointing in the same direction as the price. Weight Optimization: Algorithms that match the price direction and correlation receive a higher "Fit Score." Algorithms that diverge from price action are penalized. A "Softmax" style temperature function and memory decay allow the weights to shift smoothly but aggressively. The Result: If the market enters a clean sine-wave cycle, the Ehlers and Goertzel weights will spike. If the market explodes into a linear trend, ZLEMA and Schaff will take over, suppressing the cycle indicators that would otherwise call for a premature top. 4. How to Read the Interface: The visual interface is designed for maximum information density without clutter. The Dashboard (Bottom Left - GBM Stats) Combined Fit: A percentage score (0-100%). High values (>70%) mean the system is "Locked In" and tracking price accurately. Low values suggest market chaos/noise. Entropy: A measure of disorder. High entropy means the algorithms disagree (Neutral/Chop). Low entropy means the algorithms are unanimous (Strong Trend). Top 1 / Top 3 Weight: Shows how concentrated the decision is. If Top 1 Weight is 50%, one algorithm is dominating the decision. The Matrix (Bottom Right - Weight Table) This table lifts the hood on the engine. Fit Score: How well this specific algo is performing right now. Corr/Dir: Raw correlation and Direction Match stats. Weight: The actual percentage influence this algorithm has on the final line. Cycle: The current value of that specific algorithm. Regime: Identifies if the consensus is Bullish, Bearish, or Neutral. The Chart Overlay The Line: The Gradient-Colored line is the Weighted Ensemble Prediction. Green: Bullish Slope. Red: Bearish Slope. Triangles: Zero-Cross signals (Bullish/Bearish). "STRONG" Labels: Appears when the cycle sustains a value above +0.5 or below -0.5, indicating strong momentum. Background Color: Changes subtly to reflect the aggregate Regime (Strong Up, Bullish, Neutral, Bearish, Strong Down). 5. Trading Strategies: A. The Slope Reversal (OB/OS Fade) Concept: Catching tops and bottoms using the -1/+1 normalization. Signal: Wait for the Combined Cycle to reach extreme values (>0.8 or <-0.8). Trigger: The entry is taken not when it hits the level, but when the Slope flips. Short: Cycle hits +0.9, color turns from Green to Red (Slope becomes negative). Long: Cycle hits -0.9, color turns from Red to Green (Slope becomes positive). B. The Zero-Line Trend Join Concept: Joining an established trend after a correction. Signal: Price is trending, but the Cycle pulls back to the Zero line. Trigger: A "Triangle" signal appears as the cycle crosses Zero in the direction of the higher timeframe trend. C. Divergence Analysis Concept: Using the "Fit Score" to identify weak moves. Signal: Price makes a Higher High, but the Combined Cycle makes a Lower High. Confirmation: Check the GBM Stats table. If "Combined Fit" is dropping while price is rising, the trend is decoupling from the cycle logic. This is a high-probability reversal warning. 6. Technical Configuration: Fitting Window (Default: 20): The number of bars the ML engine looks back to judge algorithm performance. Lower (10-15) for scalping/quick adaptation. Higher (30-50) for swing trading and stability. GBM Learning Rate (Default: 0.25): Controls how fast weights change. High (>0.3): The system reacts instantly to new behaviors but may be "jumpy." Low (<0.15): The system is very smooth but may lag in regime changes. Max Single Weight (Default: 0.55): Prevents one single algorithm from completely hijacking the system, ensuring an ensemble effect remains. Slope Lookback: The period over which the slope (velocity) is calculated. 7. Disclaimer & Notes: Repainting: This indicator utilizes closed bar data for calculations and employs non-repainting approximations of SSA, EMD, and Wavelets. It does not repaint historical signals. Calculations: The "ML" label refers to the adaptive weighting algorithm (Gradient-based optimization), not a neural network black box. Risk: No indicator guarantees future performance. The "Fit Score" is a backward-looking metric of recent performance; market regimes can shift instantly. Always use proper risk management. Author's Note The MCPS-Slope was built to solve the frustration of "indicator shopping." Instead of switching between an RSI, a MACD, and a Stochastic depending on the day, this system mathematically determines which one is working best right now and presents you with a single, synthesized data stream. If you find this tool useful, please leave a Boost and a Comment below!
Indikator Pine Scriptยฎ
oleh jaydesaigu
My Swiftlike Algo Backtest ATR SL/TP HH/HL/LH/LL BOS/CHOCHSwift-Like Algo is a trend-following strategy that trades pullbacks using EMA trend direction, market structure (HH/HL/LH/LL), and ATR-based risk management. It enters only in the direction of the trend, with automatic Stop-Loss, TP1, and TP2, and supports full strategy backtesting. Best used on 15mโ€“4H timeframes for crypto, forex, and indices. โš ๏ธ For educational and testing purposes only.
Strategi Pine Scriptยฎ
oleh Jean1876
Swift-like Algo (V1) Trend Pullback ATR Risk AlimojanidThis indicator is a simple, rule-based trend-following system designed to help identify potential LONG and SHORT opportunities using market structure, momentum, and volatility. It is inspired by professional โ€œalgo-styleโ€ tools, but built from scratch for learning, transparency, and flexibility. ๐Ÿ”น How it works 1๏ธโƒฃ Trend Detection Uses Fast EMA vs Slow EMA Only looks for: LONGs in bullish trends SHORTs in bearish trends 2๏ธโƒฃ Entry Logic Waits for a pullback toward the fast EMA Confirms direction using price behavior Optional RSI filter to avoid weak momentum trades 3๏ธโƒฃ Risk Management Stop Loss (SL) and Take Profit (TP) levels are calculated using ATR Risk is defined in R-multiples (TP1, TP2) Designed to adapt to market volatility 4๏ธโƒฃ Visual & Alerts Clear LONG / SHORT arrows Automatic SL / TP level plotting Built-in alert conditions for trade notifications โš™๏ธ Settings You Can Adjust EMA lengths (trend sensitivity) RSI confirmation (on/off) ATR stop size Risk-reward targets Cooldown bars to avoid over-trading โš ๏ธ Disclaimer This indicator is NOT a guaranteed trading system and should not be used as financial advice. Always: Backtest on your own market and timeframe Use proper risk management Paper trade before using real funds The author is not responsible for any trading losses. ๐Ÿ’ก Notes Best used on trending markets Works on Forex, Crypto, Indices, and Commodities Timeframes: 15m and higher recommended
Indikator Pine Scriptยฎ
oleh Jean1876
Crypto Session Range ๐Ÿ“„ INDICATOR DESCRIPTION (ENGLISH) Crypto Session Range (Custom Timezone) is a lightweight and accurate session-based indicator designed specifically for cryptocurrency markets (24/7). This indicator allows traders to define custom trading time windows using any global timezone, solving common issues found in traditional session indicators that are built for stock markets. ๐Ÿ”น Key Features Custom timezone support (e.g. America/Puerto_Rico, America/New_York, UTC) Up to 3 configurable trading sessions Visual background highlighting during active sessions Automatic High & Low range tracking for each session Optional range extension after the session ends Works on all crypto pairs and timeframes ๐Ÿ”น Who Is This For? Crypto traders who want precise session control Day traders, scalpers, and session-based strategies Traders who operate during specific market windows (London / NY / custom) ๐Ÿ”น Notes This indicator is not restricted to exchange trading hours and is fully compatible with 24/7 markets like crypto, unlike many default session tools.
Indikator Pine Scriptยฎ
oleh YanzaCrypto
Multi Cycles Predictive System ML - GBM IntegratedMulti-Cycle Predictive System: The Gradient Boosting Machine (GBM) Revolution Introduction: The Death of Static Analysis The financial markets are not static; they are a living, breathing, and chaotic system. Yet, for decades, traders have relied on static indicatorsโ€”using the same RSI settings, the same MACD parameters, and the same Moving Averages regardless of whether the market is trending, chopping, or crashing. The Multi-Cycle Predictive System (MCPS) represents a paradigm shift. It is not just an indicator; it is an Adaptive Machine Learning Engine running directly on your chart. By integrating a fully functional Gradient Boosting Machine (GBM), this script does not guessโ€”it learns. It monitors 13 distinct algorithmic models, calculates their real-time accuracy against future price action, and dynamically reallocates influence to the "winning" models using gradient descent. This is Survival of the Fittest applied to technical analysis. 1. The Core Engine: Gradient Boosting & Adaptive Learning At the heart of the MCPS is a custom-coded Gradient Boosting Machine. While most "ML" scripts on TradingView simply average a few indicators, this system replicates the architecture of advanced data science models. How the GBM Works: Ensemble Prediction: The system aggregates signals from 13 different mathematical models. Residual Calculation: It compares the ensemble's previous predictions against the actual price movement (Price Return) to calculate the error (Residual). Gradient Descent: It calculates the gradient of the loss function. We utilize a Huber Loss Gradient, which is robust against outliers (market spikes), ensuring the model doesn't overreact to volatility. Weight Optimization: Using a configurable learning rate, the system updates the weights of each sub-algorithm. Models that predicted correctly gain weight; models that failed lose influence. Softmax Normalization: Finally, weights are passed through a Softmax function (with Temperature control) to convert them into probabilities that sum to 1.0. The "Winner-Takes-All" Philosophy A common failure in ensemble systems is "Signal Dilution"โ€”where good signals are drowned out by bad ones. The MCPS solves this with Aggressive Weight Concentration: Top 3 Logic: The script identifies the top 3 performing algorithms based on historical accuracy. The 90% Rule: It forces the system to allocate up to 90% of the total decision weight to these top 3 performers. Result: If Ehlers and Schaff are reading the market correctly, but MACD is failing, MACD is effectively silenced. The system listens only to the winners. 2. The 13 Algorithmic Pillars The MCPS draws from a diverse library of Digital Signal Processing (DSP), Statistical, and Momentum algorithms. It does not rely on simple moving averages. Ehlers Bandpass Filter: Isolates the dominant cycle in price data, removing trend and noise. Zero-Lag EMA (ZLEMA): Reduces lag to near-zero to track momentum shifts instantly. Coppock Curve: A classic long-term momentum indicator, modified here for adaptive responsiveness. Detrended Price Oscillator (DPO): Eliminates the trend to identify short-term cycles. Schaff Trend Cycle (STC): A double-smoothed stochastic of the MACD, excellent for identifying cycle turns. Fisher Transform: Converts price into a Gaussian normal distribution to pinpoint turning points. MESA Adaptive: Uses Maximum Entropy Spectral Analysis to detect the current dominant cycle period. Goertzel Algorithm: A DSP technique used to identify the magnitude of specific frequency components in the price wave. Hilbert Transform: Extracts the instantaneous amplitude and phase of the price action. Autocorrelation: Measures the similarity between the price series and a lagged version of itself to detect periodicity. Singular Spectrum Analysis (SSA): Decomposes the time series into trend, seasonal, and noise components (Simplified). Wavelet Transform: Analyzes data at different scales (frequencies) simultaneously. Empirical Mode Decomposition (EMD): Splits data into Intrinsic Mode Functions (IMFs) to isolate pure cycles. 3. The Dashboard: Total Transparency Black-box algorithms are dangerous. You need to know why a signal is being generated. The MCPS features two detailed dashboards (tables) located at the bottom of your screen. The Weight & Accuracy Table (Bottom Right) This is your "Under the Hood" view. It displays: Algorithm: The name of the model. Accuracy: The rolling historical accuracy of that specific model over the lookback period (e.g., 58.2%). Weight: The current influence that model has on the final signal. Watch this change in real-time. You will see the system "giving up" on bad models and "betting heavy" on good ones. Prob/Sig: The raw probability and directional signal (Up/Down). The GBM Stats Table (Bottom Left) Tracks the health of the Machine Learning engine: Iterations: How many learning cycles have occurred. Entropy: A measure of market confusion. High entropy means weights are spread out (models disagree). Low entropy means the models are aligned. Top 3 Weight: Shows how concentrated the decision power is. If this is >80%, the system is highly confident in specific models. Confidence & Agreement: Statistical measures of the signal strength. 4. How to Trade with MCPS This system outputs a single, composite Cycle Line (oscillating between -1 and 1) and a background Regime Color. Strategy A: The Zero-Cross (Trend Reversal) Bullish: When the Cycle Line crosses above 0. This indicates that the weighted average of the top-performing algorithms has shifted to a net-positive expectation. Bearish: When the Cycle Line crosses below 0. Strategy B: Probability Extremes (Mean Reversion) Strong Buy: When the Cycle Line drops below -0.5 (Oversold) and turns up. This indicates a high-probability cycle bottom. Strong Sell: When the Cycle Line rises above +0.5 (Overbought) and turns down. Strategy C: Regime Filtering The background color changes based on the aggregate consensus: Green/Lime: Bullish Regime. Look primarily for Long entries. Ignore weak sell signals. Red/Orange: Bearish Regime. Look primarily for Short entries. Gray: Neutral/Choppy. Reduce position size or wait. 5. Configuration & GBM Settings The script is highly customizable for advanced users who want to tune the Machine Learning hyperparameters. Prediction Horizon: How many days into the future are we trying to predict? (Default: 3). Accuracy Lookback: How far back does the model check to calculate "Accuracy"? GBM Learning Rate: Controls how fast the model adapts. High (0.2+): Adapts instantly to new market conditions but may be "jumpy." Low (0.05): Very stable, long-term adaptation. Temperature: Controls the "Softmax" function. Higher temperatures allow for softer, more distributed weights. Lower temperatures force a "Winner Takes All" outcome. Max Top 3 Weight: The cap on how much power the top 3 models can hold (Default: 90%). 6. Technical Nuances (For the Geeks) Huber Gradient: We use Huber loss rather than MSE (Mean Squared Error) for the gradient descent. This is crucial for financial time series because price spikes (outliers) can destroy the learning process of standard ML models. Huber loss transitions from quadratic to linear error, making the model robust. Regularization: L2 Regularization is applied to prevent overfitting, ensuring the model doesn't just memorize past noise. Memory Decay: The model has a "fading memory." Recent accuracy is weighted more heavily than accuracy from 200 bars ago, allowing the system to detect Regime Shifts (e.g., transitioning from a trending market to a ranging market). Disclaimer: This tool is a sophisticated analytical instrument, not a crystal ball. Machine Learning attempts to optimize probabilities based on historical patterns, but no algorithm can predict black swan events or fundamental news shocks. Always use proper risk management. The "Warmup Period" is required. The script needs to process 50 bars of history before the GBM engine initializes and produces signals. Author's Note: I built the MCPS because I was tired of indicators that stopped working when the market "personality" changed. By integrating GBM, this script adapts to the market's personality in real-time. If the market is cycling, Ehlers and Goertzel take over. If the market is trending, Coppock and ZLEMA take the lead. You don't have to chooseโ€”the math chooses for you. Please leave a boost and a comment if you find this helpful!
Indikator Pine Scriptยฎ
oleh jaydesaigu
AiQ Drama Channel [VIP MEMBER ONLY]AiQ PREMIUM Designed by KS AiQ PREMIUM is not just an indicator; it is a complete, visually immersive trading ecosystem designed for traders who demand precision, aesthetics, and data-driven confidence. Built upon advanced Fractal Adaptive Moving Average (FRAMA) logic and fused with a proprietary volatility engine, AiQ PREMIUM filters out market noise to reveal high-probability institutional setups. ๐Ÿ’Ž Core Features 1. DRAMA Volatility Engine (D-FRAMA) Unlike standard Moving Averages, our adaptive algorithm adjusts to market fractal dimensions. It tightens during consolidation to avoid false signals and expands during trends to capture the full move. 2. Multi-Timeframe (MTF) Matrix Stop guessing the trend. The built-in "Trend Matrix" scans M5, M15, M30, H1, and H4 timeframes in real-time. Signals are only generated when there is a confluence of momentum. 3. AiQ Confidence Score & Win Rate The dashboard calculates a dynamic Confidence Score (1-5 Stars) based on historical performance, trend alignment, and volatility strength. โญโญโญโญโญ = Strong Institutional Alignment โญ = Risky / Counter-trend 4. Auto-Fibonacci Extensions & Risk Management Smart Entries: Clear visual signals with glassmorphism UI. Dynamic Risk: SL/TP are calculated using ATR (Average True Range) to adapt to market volatility. Auto Targets: Automatically projects TP1, TP2, TP3 (Fib 2.618), and TP4 (Fib 4.236). 5. Premium Visual Experience Choose your trading personality with our Theme Engine: ๐Ÿ† Black Gold: Luxury, high-contrast dark mode. ๐Ÿฆ„ Cyber Neon: Modern, vibrant aesthetics. โšช Clean Quant: Minimalist institutional look. ๐Ÿ› ๏ธ How to Use Wait for the Signal: Look for the ๐Ÿš€ LONG SETUP or ๐Ÿš€ SHORT SETUP badge. Check the Stars: Ideally, take trades with 3 stars or above on the dashboard. Confirm with Matrix: Ensure the MTF Matrix (Top Right) shows "BULL" for Longs or "BEAR" for Shorts on higher timeframes (H1/H4). Manage the Trade: Secure partial profits at โœ… TP1. Move SL to Breakeven at โœ… TP2. Let runners fly to โœ… TP3 and โœ… TP4. โš ๏ธ Disclaimer - Trading involves high risk. This tool is designed to assist your analysis, not to replace it. Past performance is not indicative of future results. Always use proper risk management.
Indikator Pine Scriptยฎ
oleh KS0919
6
Zig Zag ++ SG (Premium)๐Ÿ”ฅ Zig Zag ++ SG Professional Market Structure & Cycle Analyzer Zig Zag ++ SG is an advanced, research-grade market structure indicator built on top of a refined ZigZag engine, designed for traders and investors who want to understand price cycles, not chase candles. This is not a buy-sell arrow tool. It is a decision-support system used to analyze trend strength, exhaustion, pullback depth, and cycle behavior across any market and timeframe. ๐Ÿง  What Makes Zig Zag ++ SG Different? Most ZigZag indicators only draw lines. Zig Zag ++ SG answers the real questions: Is the trend getting stronger or weaker? Are higher highs still meaningful? How deep are pullbacks in percentage terms? Which stocks recover fast vs stay weak? Is this accumulation, distribution, or reversal? It does this by combining: Market Structure (HH / HL / LH / LL) Consecutive structure counting Gain & fall percentage per swing Clean visual logic (no repaint confusion) ๐Ÿ“Œ Core Features โœ… 1. Automatic Market Structure Detection Labels every major swing as: HH โ€“ Higher High HL โ€“ Higher Low LH โ€“ Lower High LL โ€“ Lower Low This instantly shows whether the market is: Trending Consolidating Distributing Reversing โœ… 2. Consecutive Structure Count (ON by default) Each structure type is counted sequentially: HH (1), HH (2), HH (3)โ€ฆ HL (1), HL (2)โ€ฆ This reveals: Trend maturity Exhaustion zones Early breakdown warnings Example: HH (4) = trend may be overextended HL (3) = healthy trend continuation โœ… 3. Gain & Fall % on Every Swing (ON by default) Every HH, HL, LH, LL shows: Exact % move from the previous pivot This allows you to: Compare pullback depth across stocks Identify leaders (shallow HLs) Spot weak stocks (deep HLs / LHs) Study cycle symmetry Example label: HL (2) -6.4% โœ… 4. Clean, Readable Visual Design ๐ŸŸฉ Green labels โ†’ White text ๐ŸŸฅ Red labels โ†’ High-contrast white text Optional background trend shading (OFF by default) Works perfectly in dark & light mode Designed for long chart study sessions, not flashy screenshots. โœ… 5. Safe Repaint Logic (Transparent by Design) Uses ZigZag logic intentionally No fake โ€œnon-repaintingโ€ claims Ideal for analysis, research & planning What you see is structurally correct This indicator is for thinking traders, not signal chasers. โš™๏ธ Best Settings (Recommended) ๐Ÿ”น Intraday Trading Timeframe: 5m / 15m Depth: 8โ€“10 Deviation: 3โ€“5 Backstep: 2 ๐Ÿ”น Swing Trading (Most Popular) Timeframe: Daily Depth: 12โ€“15 Deviation: 5 Backstep: 2 ๐Ÿ”น Long-Term / Investing Timeframe: Weekly Depth: 15โ€“20 Deviation: 5โ€“8 Backstep: 3 ๐Ÿ’ก Tip: Lower depth = more swings Higher depth = cleaner, major cycles ๐Ÿ“ˆ How to Use Zig Zag ++ SG (Practically) ๐Ÿ”น Trend Strength HH (3+) + HL (2โ€“3) โ†’ Strong, healthy trend ๐Ÿ”น Exhaustion Warning HH (4+) โ†’ Risk of distribution or slowdown ๐Ÿ”น Pullback Quality HL โˆ’3% to โˆ’7% โ†’ Strong stock HL โˆ’12% to โˆ’20% โ†’ Weak hands / fragile trend ๐Ÿ”น Reversal Confirmation LH followed by LL (2+) โ†’ Trend change likely ๐Ÿงช Who Is This Indicator For? โœ… Swing traders โœ… Positional traders โœ… Long-term investors โœ… Market structure students โœ… Stock researchers โœ… Anyone tired of noisy indicators โŒ Not for: People wanting instant buy/sell arrows Scalpers chasing 1-minute signals โ€œMagic indicatorโ€ seekers ๐Ÿ’Ž Why This Is Worth Purchasing Built with Pine Script v6 best practices Solves real market questions Helps avoid: Buying late Selling early Holding weak stocks too long Encourages process-driven trading One-time learning tool youโ€™ll use for years Most traders lose money not because of entries โ€” but because they misread structure and cycles. Zig Zag ++ SG fixes that.
Indikator Pine Scriptยฎ
oleh SilentCompounder
10
Free cash flow yield (Quarterly)Indicator: Free Cash Flow Yield (Quarterly) โ€” Technical Description Purpose This indicator plots Free Cash Flow Yield (FCF Yield) using quarterly fundamentals and optionally adjusts it for dilution. It also computes trailing averages over multiple horizons (in quarters) to give a long-term valuation context. Data Sources All fundamentals are pulled from TradingViewโ€™s financial dataset using: request.financial(syminfo.tickerid, , "FQ", barmerge.gaps_on) Where: "FQ" = Quarterly frequency barmerge.gaps_on = keeps values as step-like series (updates only when new quarterly data is available) Financial fields used: FREE_CASH_FLOW (FCF) ENTERPRISE_VALUE (EV) TOTAL_SHARES_OUTSTANDING DILUTED_SHARES_OUTSTANDING Market cap is derived (not pulled directly in this version): marketCap = totalSharesOutstanding * close (Only used as a reference in the script; the yield itself is based on EV.) Core Calculation 1) FCF Yield (Net) The base yield is: FCF Yield ( % ) = FCF Enterprise Value ร— 100 FCF Yield(%)= Enterprise Value FCF โ€‹ ร—100 Implementation detail: If FCF is na or EV is na or EV == 0, the result is set to na to avoid division errors. Dilution Adjustment (Optional Series) 2) Dilution Ratio The script estimates dilution impact using: dilutionRatio = Total Shares Outstanding Diluted Shares Outstanding dilutionRatio= Diluted Shares Outstanding Total Shares Outstanding โ€‹ Notes: If dilutedSharesOutstanding is missing or zero, the ratio becomes na. 3) Diluted FCF Yield If the ratio indicates dilution (<= 1), yield is scaled down: FCF Yield Diluted = FCF Yield ร— dilutionRatio FCF Yield Diluted=FCF Yieldร—dilutionRatio Else (ratio > 1 or na), the script defaults to the net yield: FCF Yield Diluted = FCF Yield FCF Yield Diluted=FCF Yield Practical interpretation: More dilution โ†’ lower ratio โ†’ lower diluted yield. If dilution fields are not reliable for a ticker, the script falls back to the base yield. Plotting Two series are shown: FCF Yield Net: plotted as columns (bars) FCF Yield Diluted: plotted as an area overlay This makes it easy to see: Step changes when new quarter data arrives Whether dilution meaningfully reduces the yield Labels (Per-bar) When fcfYieldDiluted > 0, the script prints the value as a percentage label at the yield level. Important technical point: Since fcfYieldDiluted is computed as a number like 8.5 for 8.5%, labels convert to percent format by dividing by 100 before formatting: str.tostring(fcfYieldDiluted / 100, format.percent) Rolling History & Averages 1) Rolling storage The script maintains a rolling array of the most recent 40 quarterly values: 40 quarters โ‰ˆ 10 years Each time a non-NA quarterly yield appears: It pushes it into the array If array length exceeds 40, it removes the oldest value 2) Trailing averages (quarter windows) Averages are computed over the most recent N quarters: 1Q (latest quarter value) 4Q โ‰ˆ 1 year 8Q โ‰ˆ 2 years 20Q โ‰ˆ 5 years 40Q โ‰ˆ 10 years If fewer than N values exist, that average is na. End-of-chart Summary Label On the last bar (barstate.islast), the script draws a summary label containing the trailing averages listed above. Placement logic The label is positioned slightly to the right of the current bar: Uses frequencyUnit (estimated number of chart bars per quarter) to offset the label into the future. frequencyUnit is computed as: frequencyUnit โ‰ˆ Seconds in 12 months Seconds per chart bar รท 4 frequencyUnitโ‰ˆ Seconds per chart bar Seconds in 12 months โ€‹ รท4 This is only for visual spacing, not calculation correctness. Limitations / Notes The yield series is โ€œstep-likeโ€ and updates only when new quarterly fundamentals are available. For some tickers, TradingView fundamentals (especially diluted shares) can be missing or inconsistent; the script protects against this by returning na or falling back to the net yield. EV-based yield can differ from market-cap-based yield; EV includes debt and cash effects, so itโ€™s closer to an โ€œall-capitalโ€ valuation measure.
Indikator Pine Scriptยฎ
oleh mfeldyriza
MTF 4MA Direction Dashboard and TF AlignmentThe MTF 4MA Direction Dashboard is a multi-timeframe trend-alignment tool designed to answer one core trading question: Are higher and lower timeframes pointing in the same direction โ€” and how strong is that alignment? Instead of relying on a single chart timeframe, this indicator evaluates directional consistency across five timeframes simultaneously using a fast 4-period moving average. The result is a weighted directional score, expressed as Bull/Bear percentages and summarized with a clear letter grade and interpretation. This makes the indicator ideal as a trend filter, bias confirmation tool, or higher-timeframe context engine for discretionary and systematic traders alike. How It Works For each selected timeframe (default: 1H, 4H, 1D, 1W, 1M): A 4-period moving average is calculated (user-selectable MA type). The indicator determines direction by comparing the current MA value to the prior bar: Rising MA โ†’ Bullish Falling MA โ†’ Bearish Each timeframe contributes to a weighted score, allowing higher timeframes to carry more influence if desired. The combined result is converted into: Bull % Bear % Letter Grade (Aโ€“F) Plain-English interpretation All results are displayed in a compact, customizable on-chart dashboard. Dashboard Metrics Explained Aligned TFs Shows how many timeframes are bullish vs bearish. Bull % / Bear % Weighted directional confidence across all timeframes. Grade (Aโ€“F) A structured summary of alignment strength: A โ†’ Strong bullish alignment B โ†’ Constructive bullish bias C โ†’ Transitional / mixed conditions D โ†’ Weak structure F โ†’ Bearish or poorly aligned Grade Condition & Interpretation Explicit thresholds and a clear contextual reading of current market structure. How to Use This Indicator This is not an entry signal by itself. It is best used as a context and confirmation tool. Common use cases include: โœ… Trend Filtering Only take long trades when Bull % is elevated (e.g., Grade A or B). โœ… Multi-Timeframe Confirmation Confirm that lower-timeframe setups agree with higher-timeframe structure. โœ… Bias Control Reduce over-trading during mixed or transitional conditions (Grade C/D). โœ… Risk Management Context Scale position size or aggressiveness based on alignment strength. Ideal Trading Conditions This indicator performs best in: Trending or structurally developing markets Swing trading and position trading Higher-timeframe-aware intraday strategies Markets where directional follow-through matters more than noise During highly choppy or mean-reverting conditions, grades will naturally compress toward the middle โ€” providing a visual cue to reduce directional exposure. Customization & Controls Select MA type (SMA, EMA, RMA, WMA) Adjust timeframe importance via custom weights Fully customizable table colors and position Toggle dashboard visibility on/off This flexibility allows the indicator to be adapted to different assets, trading styles, and risk preferences. Final Notes The MTF 4MA Direction Dashboard is designed to bring clarity to multi-timeframe analysis by transforming raw directional data into a structured, readable decision framework. Use it to align trades with structure, avoid fighting dominant trends, and maintain consistency across timeframes.
Indikator Pine Scriptยฎ
oleh Dinjin
Cloud Gold TrendTrend Filter (Ichimoku): If the price is above the cloud (Kumo), look only for "Long" signals. If it is below, look only for "Short" signals. Entry Signal (Bollinger): When the price touches the Lower Band while you are above the Cloud, it could be a great buying point in an uptrend. Volatility Confirmation: If the Bollinger Bands squeeze within the cloud, get ready for a strong directional move as soon as the price breaks one of the two levels.
Indikator Pine Scriptยฎ
oleh Aplanet33
8:00 to 8:15 ORB BOXNY 8:00โ€“8:15 Opening Box + Midpoint (Today Only) This indicator highlights the New York 8:00โ€“8:15 AM (ET) opening range by automatically drawing a price box and midpoint for the current trading day only. During the 8:00โ€“8:15 window, the indicator tracks the highest high and lowest low. Once the window ends, it plots: A horizontal opening range box extending to the right A midpoint line representing the equilibrium of the range At the start of each new New York trading day, the previous dayโ€™s box and midpoint are automatically removed, keeping the chart clean and focused on the current session. Key Features Fixed New York time (ET) session handling Automatically updates every trading day Displays range high, range low, and midpoint Box and midpoint extend forward for intraday reference Customizable color and transparency Designed for intraday trading and market structure analysis Common Use Cases Identifying early-session balance and bias Measuring volatility expansion after the NY open Acting as support/resistance reference levels Combining with ORB, liquidity, or momentum strategies This tool is especially useful for index futures, forex, and metals, where the New York session plays a major role in daily price discovery. If you want, I can also: Shorten this for a TradingView publish page Rewrite it more โ€œtechnicalโ€ or more beginnerโ€‘friendly Add a disclaimer or schoolโ€‘project version
Indikator Pine Scriptยฎ
oleh maguilar126
1
Triple EMA + Stochastic/ADX# Triple EMA + Stochastic/ADX Breakout Indicator A professional TradingView indicator designed for trend-following and momentum breakout trading. This system uses a hierarchical confirmation process to ensure high-probability entries and robust trend maintenance. ## ๐Ÿš€ Core Trading Logic: "The Setup Cycle" This indicator operates on a **Cycle-Based Logic** rather than simple crossovers. A trade cycle is defined as: 1. **The Setup (Priming)**: A Stochastic crossover (K > D for Long, D > K for Short) initiates a "Setup Mode." This is marked by a small dot (Blue for Long, Orange for Short). 2. **The Confirmation (Trend)**: The systems checks for hierarchical EMA alignment (Fast > Medium > Slow for Longs). 3. **The Trigger (Breakout)**: Once the Setup is active and EMAs are aligned, every **Price Breakout** above the previous high (X-period) triggers a continuous **BUY/SELL mark**. 4. **The Exit (Take Profit/Stop)**: The cycle and trade only end when the Fast EMA crosses back over the Medium EMA (EMA 9/21 crossover). --- ## ๐Ÿ›  Features ### 1. Triple EMA System * **Hierarchical Alignment**: Requires Fast > Medium > Slow (9, 21, 50 by default) for a confirmed trend direction. * **Dynamic Trend Background**: Chart background changes color when a full EMA trend is established. ### 2. Dual Filter System (Stochastic & ADX) * **Stochastic Setup**: Uses smoothed %K and %D to identify the start of momentum cycles. * **ADX Filter**: Provides a trend-strength baseline. Default threshold is set to 20 to filter out choppy markets. ### 3. Price Breakout Confirmation * Requires price to break above/below the previous High/Low of the last X bars (default 10). * Allows for **continuous entries** within a single trend cycle. ### 4. Robust Exit Strategy * **EMA Crossover Exit**: The primary exit method. Triggers an "EXIT" flag when the trend momentum shifts. * **ATR Trailing Stop**: A secondary volatility-based stop that moves with the price. Can be set as the absolute exit or used for visual reference. ### 5. Mean Reversion Mode (Optional) * Identifies overextended price action (percent deviation from EMA2). * Signals potential "bounce" or "rejection" trades against the trend. --- ## ๐Ÿ“Š Dashboard & Visuals * **๐ŸŸข BUY / ๐Ÿ”ด SELL**: Trend continuation breakout signals. * **๐ŸŸ  EXIT / ๐ŸŸฃ EXIT**: Trend reversal/exit signals. * **๐Ÿ”ต/๐ŸŸ  Small Dots**: Setup priming moments. * **Real-time Dashboard**: Displays current Setup Status, EMA Alignment, Breakout status, ADX strength, and calculated Stop levels. --- ## โš™๏ธ How to Customize | Parameter | Recommended Use | | :--- | :--- | | **Breakout Lookback** | Lower (3-5) for aggressive scalping, Higher (10-20) for conservative trends. | | **Filter Mode** | Choose "Stochastic" for momentum or "ADX" for trend strength preference. | | **ATR Multiplier** | Reduce (1.5) for tighter stops, Increase (3.0) for wider trend following. | | **Exit ONLY on EMA** | Enable to stay in trades longer; Disable to exit immediately on ATR stop hits. | --- ## ๐Ÿ“ฅ Installation 1. Open your **Pine Editor** in TradingView. 2. Create a new "Indicator." 3. Copy the code from `Triple_EMA_Stochastic_ADX.pine`. 4. Click **Save** and **Add to Chart**. --- *Developed for Dhan/MCX/Futures and general Asset Trading.*
Indikator Pine Scriptยฎ
oleh trade_crush
1
Gann Sacred Geometry Hexagram Ver 1.2โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” ๐Ÿ”ฏ GANN SACRED GEOMETRY HEXAGRAM v1.2 โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” A comprehensive technical analysis tool combining W.D. Gann's sacred geometry principles, hexagram patterns, and advanced confluence scoring for high-probability trade signals. โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” ๐Ÿ“– GANN THEORY BACKGROUND โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” W.D. Gann (1878-1955) believed markets move in geometric patterns and that price and time must be in balance. His methods incorporated: - The Square of Nine - Geometric angles (1x1, 2x1, etc.) - Sacred geometry and natural law - Cycle theory and time divisions - The principle "When time and price square, a change in trend is imminent" This indicator applies these timeless principles with modern confluence analysis. SACRED GEOMETRY FOUNDATION: The hexagram (six-pointed star) is formed by two overlapping equilateral triangles: - โ–ฒ Upward triangle = Yang energy, bullish forces, expansion - โ–ผ Downward triangle = Yin energy, bearish forces, contraction When overlapped, they create the "Star of David" - representing perfect balance between opposing market forces. Gann believed this geometry revealed natural support and resistance zones where price would react. HEXAGRAM IN MARKETS: - 6 outer points = Major reversal zones - Center point = Balance/equilibrium price - Inner intersections = Secondary support/resistance - The shape itself creates "harmonic" price levels GANN'S SQUARE PHILOSOPHY: "When time and price square, a change in trend is imminent." - W.D. Gann This indicator applies the "squaring" concept: 1. SPATIAL SQUARE: Grid cells are perfect squares in price-time space 2. TEMPORAL SQUARE: Time divisions (1/4, 1/2, 3/4) create cycle points 3. PRICE SQUARE: Price divisions (25%, 50%, 75%) mirror time divisions 4. GEOMETRIC SQUARE: All geometry radiates from perfect square centers When price reaches a corner or edge of a square at a time cycle point, the "squaring" of price and time creates a reversal probability zone. PHI IN GANN GEOMETRY: The Golden Ratio appears throughout natural phenomena and market structure. This script uses ฯ† in two primary ways: 1. INNER TRIANGLE SCALING: - Outer triangles span the full cell (100%) - Inner triangles scaled by ฯ†โปยน (0.618 or 61.8%) - This creates Fibonacci retracement levels geometrically 2. HARMONIC RESONANCE: - ฯ† ratio divides price space into natural harmony - Markets tend to pause/reverse at these ฯ†-scaled levels - Combines Fibonacci analysis with Gann geometry MATHEMATICAL RELATIONSHIP: Inner Triangle Height = Outer Height ร— 0.618 Inner Triangle Width = Outer Width ร— 0.618 These create the 61.8% retracement levels automatically within each grid cell's geometry. GANN'S COMPLETE ANGLE SYSTEM: Gann identified 9 primary angles that price follows. Each represents a different relationship between price movement and time passage: โ•”โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•— โ•‘ ANGLE โ”‚ RATIO โ”‚ DEGREES โ”‚ MEANING โ•‘ โ• โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ฃ โ•‘ 1x8 โ”‚ 1:8 โ”‚ 7.125ยฐ โ”‚ Very slow trend (gentle) โ•‘ โ•‘ 1x4 โ”‚ 1:4 โ”‚ 14.036ยฐ โ”‚ Slow trend โ•‘ โ•‘ 1x3 โ”‚ 1:3 โ”‚ 18.435ยฐ โ”‚ Moderate-slow trend โ•‘ โ•‘ 1x2 โ”‚ 1:2 โ”‚ 26.565ยฐ โ”‚ Moderate trend โ•‘ โ•‘ 1x1 โ”‚ 1:1 โ”‚ 45.000ยฐ โ”‚ MASTER ANGLE (most important) โ•‘ โ•‘ 2x1 โ”‚ 2:1 โ”‚ 63.435ยฐ โ”‚ Strong trend โ•‘ โ•‘ 3x1 โ”‚ 3:1 โ”‚ 71.565ยฐ โ”‚ Very strong trend โ•‘ โ•‘ 4x1 โ”‚ 4:1 โ”‚ 75.964ยฐ โ”‚ Extreme trend โ•‘ โ•‘ 8x1 โ”‚ 8:1 โ”‚ 82.875ยฐ โ”‚ Parabolic trend (unsustainable)โ•‘ โ•šโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• THE 1x1 ANGLE - THE MASTER: - Most important angle in Gann theory - Represents perfect balance: 1 unit price = 1 unit time - When price is ABOVE 1x1 = Bullish control - When price is BELOW 1x1 = Bearish control - Crossing 1x1 = Major trend change signal ANGLE FANS: - From any pivot point, all 9 angles radiate outward - Creates a "fan" of dynamic support/resistance - Steeper angles (4x1, 8x1) = strong momentum resistance - Gentler angles (1x4, 1x8) = weak support in downtrends THE SACRED DIVISIONS OF TIME: Gann divided all cycles into 8 equal parts, based on ancient geometry and astrological principles: CYCLE DIVISIONS (8ths): โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ” โ”‚ 1/8 = 12.5% โ”‚ First minor turn point โ”‚ โ”‚ 2/8 = 25.0% โ”‚ First major turn (Cardinal) โ”‚ โ”‚ 3/8 = 37.5% โ”‚ Second minor turn โ”‚ โ”‚ 4/8 = 50.0% โ”‚ MID-CYCLE (most powerful) โ”‚ โ”‚ 5/8 = 62.5% โ”‚ Third minor turn โ”‚ โ”‚ 6/8 = 75.0% โ”‚ Second major turn (Cardinal) โ”‚ โ”‚ 7/8 = 87.5% โ”‚ Fourth minor turn โ”‚ โ”‚ 8/8 = 100.0% โ”‚ CYCLE COMPLETION (reversal zone) โ”‚ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜ WHY EIGHTHS? - 8 is the number of balance in sacred geometry - Octave divisions create harmonic resonance - 360ยฐ circle รท 8 = 45ยฐ (the 1x1 master angle) - Natural cycles show 8-fold symmetry IN THIS SCRIPT: When current time position is within 8% of any eighth division, the "Gann 8ths Timing" factor activates, adding confluence points. THE CARDINAL CROSS SYSTEM: The Cardinal Cross divides any square into four equal quadrants, creating a cross pattern: 100% โ—โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ— โ”ƒ โ†‘ โ”ƒ 75% โ”ƒ SELL ZONE โ”ƒ โ† Resistance quadrant โ”ƒ โ†‘ โ”ƒ 50% โ—โ”โ”โ”โ”โ”โ—โ”โ”โ”โ”โ”โ”โ— โ† EQUILIBRIUM (most important) โ”ƒ โ†“ โ”ƒ 25% โ”ƒ BUY ZONE โ”ƒ โ† Support quadrant โ”ƒ โ†“ โ”ƒ 0% โ—โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ— PRICE LEVELS: - 0% = Bottom support (grid cell low) - 25% = Lower mid-level support - 50% = PERFECT BALANCE - most powerful level - 75% = Upper mid-level resistance - 100% = Top resistance (grid cell high) TIME DIVISIONS: - 0% = Cycle start (grid cell left edge) - 25% = First quarter turn - 50% = Mid-cycle (most powerful timing) - 75% = Third quarter turn - 100% = Cycle completion (grid cell right edge) CONFLUENCE MAGIC: When BOTH price AND time align at cardinal points simultaneously: Example: Price at 50% level + Time at 50% of cycle = Maximum power This is the "squaring" Gann referred to. โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” ๐Ÿ“Š KEY FEATURES โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” โœ… Dynamic Grid System (1x1 to 7x7) - Automatically constructed from swing high to swing low โœ… Sacred Geometry Hexagrams - Overlapping triangles creating Star of David pattern โœ… Golden Ratio (ฯ† = 1.618) Inner Triangles - Fibonacci harmony in geometry โœ… 9 Complete Gann Angles - 1x1, 2x1, 1x2, 3x1, 1x3, 4x1, 1x4, 8x1, 1x8 โœ… Cardinal Cross Levels - 0%, 25%, 50%, 75%, 100% price divisions โœ… Gann 8ths Timing Cycles - 1/8, 1/4, 3/8, 1/2, 5/8, 3/4, 7/8 time divisions โœ… Price-Time Square Balance - Gann's principle of harmonious price-time relationship โœ… Advanced Confluence Scoring - Multi-factor signal validation (8-30 score range) โœ… Optimized Geometry Display - Shows full detail only near current price (reduces clutter) โœ… Customizable Visual Themes - Full color and thickness control โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” ๐ŸŽฏ HOW IT WORKS โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” ๐Ÿ“ GRID CONSTRUCTION: The indicator identifies the most recent significant swing high-to-low movement using configurable pivot periods (default: 88 bars). This creates the base "square" which is then replicated in a grid pattern both vertically (price) and horizontally (time). ๐Ÿ“ SACRED GEOMETRY: Each grid cell contains: - Outer hexagram (Star of David) formed by two overlapping triangles - Inner ฯ†-ratio triangles scaled by the Golden Ratio - Gann angles radiating from the center point - Cardinal cross levels dividing price into quarters ๐Ÿ” CONFLUENCE SCORING SYSTEM: Signals are generated when multiple Gann principles align: 1. Cardinal Cross Levels (0-6 points) - Price at key quarter divisions 2. Gann Angle Touches (0-5 points) - Price touching dynamic support/resistance angles 3. Angle Clustering (0-6 points) - Multiple angles converging = strong zone 4. Gann 8ths Timing (0-3 points) - At critical time cycle points 5. Price-Time Square (0-4 points) - Balanced price/time movement 6. Trend Alignment (0-3 points) - Signal direction matches trend 7. Grid Boundary Timing (0-3 points) - Near cell edges = reversal zones 8. ฯ† Triangle Touches (0-2 points) - Golden ratio support/resistance 9. Reversal Patterns (0-2 points) - Wick rejections confirming reversal Minimum confluence score of 15 required for signal (adjustable 8-30). โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” โš™๏ธ RECOMMENDED SETTINGS โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” ๐Ÿ“Š For Daily Charts (Swing Trading): - Gann Number: 88 - Grid Size: 4x4 - Confluence Score: 15 - Geometry Range: 5 - Trend Filter: ON ๐Ÿ“Š For 4H Charts (Intraday): - Gann Number: 44 - Grid Size: 3x3 - Confluence Score: 12-13 - Geometry Range: 3-4 - Trend Filter: ON ๐Ÿ“Š For 15M Charts (Scalping): - Gann Number: 22 - Grid Size: 2x2 - Confluence Score: 10-12 - Geometry Range: 2-3 - Allow Counter-Trend: Consider enabling โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” ๐Ÿ“š BEST PRACTICES โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” โœ“ Use higher confluence scores (15+) for higher probability trades โœ“ Combine with volume analysis for confirmation โœ“ Respect trend filter - signals with trend are stronger โœ“ Watch for signals at grid boundaries (time cycle completions) โœ“ Higher scores (20+) indicate exceptional setups โœ“ Use alerts to catch signals in real-time โœ“ Works best on liquid markets with clear swings EXAMPLE 1: Strong Buy Signal (Score: 18) โœ“ Price touched 50% level (6 pts) โœ“ 1x1 Gann angle support (5 pts) โœ“ At Gann 8th cycle point (3 pts) โœ“ Price-Time squared (4 pts) = High probability long entry EXAMPLE 2: Medium Sell Signal (Score: 15) โœ“ Price at 75% level (4 pts) โœ“ 2x1 angle resistance (3 pts) โœ“ Trend aligned downward (3 pts) โœ“ Near grid boundary (3 pts) โœ“ Bearish wick rejection (2 pts) = Valid short entry โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” ๐ŸŽจ CUSTOMIZATION OPTIONS โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” - Structure: Gann Number (11, 22, 44, 88, 176, 352) - Grid: Size from 1x1 to 7x7 - Geometry: Toggle squares, triangles, angles, levels - Optimization: Show geometry only near price (performance boost) - Thickness: All line widths adjustable (1-5) - Colors: Full color customization for all elements - Scoring: Adjust all tolerance and threshold parameters - Timing: Enable/disable Gann 8ths, Price-Time Square - Filters: Trend filter, boundary requirement, counter-trend signals - Display: 4 signal styles (Labels, Diamonds, Circles, Stars) โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” โš ๏ธ IMPORTANT NOTES โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” - This indicator is for educational purposes - Not financial advice - always do your own research - Past performance does not guarantee future results - Use proper risk management and position sizing - Combine with other analysis methods for best results - Grid redraws when new swing high/low forms - Signals appear in real-time based on confluence scoring โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” ๐Ÿ“ž SUPPORT & UPDATES โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” Follow for updates and improvements. Feedback welcome! Version 1.2 - January 2025 - Optimized geometry rendering - Enhanced confluence scoring - Improved visual clarity - Performance optimizations โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”
Indikator Pine Scriptยฎ
oleh TimePriceDecoder
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