始めましょう

Forecasting

Pro-Vision ATR + ExhaustionThis indicator is designed to provide Real-Time Volatility Guardrails. Unlike standard ATR indicators that plot a single line at the bottom of your chart, this tool projects volatility "shells" directly onto the price action from the current candle. It answers the most critical question in a live trade: "How far can this stock move right now before it is statistically exhausted?" The Components Current ATR Centerpiece: The lines originate from the most recent price action, updating live with every tick. Target Lines (1.5x ATR - Yellow): These represent the "Normal Expected Move." In a healthy trend, price often reaches these levels without much resistance. Exhaustion Lines (3.0x ATR - Red): These represent "Extreme Volatility." Statistically, it is rare for price to sustain a move beyond 3x its average range in a single period without a pullback or consolidation. How to Trade It 1. Profit Taking (The "Target" Exit) If you are in a long position and price hits the Yellow Upper Line, it has achieved its expected volatility move for that timeframe. Strategy: Scale out 50% of your position here. This locks in gains based on math rather than emotion. 2. Reversal Trading (The "Exhaustion" Play) When price pierces or touches the Red Exhaustion Line, the asset is "overbought" or "oversold" relative to its recent volatility. Strategy: Look for a reversal candle (like a shooting star or hammer) touching the red line. The Trade: Short the asset at the red line with a tight stop, or close your long position immediately. These levels often act as "invisible" ceilings. 3. Setting "Smart" Stop Losses Standard stops are often placed at arbitrary percentages. Using this indicator, you can place your stop just outside the 1.5x ATR line. Strategy: If you enter a trade and price moves past the opposite ATR line, the volatility has shifted against you, and the original trade thesis is likely invalid. 4. Filtering Bad Entries (The "Don't Chase" Rule) Strategy: If you are looking to go Long, but the price is already sitting at the Yellow Line, the "meat of the move" is likely over. Rule: Never enter a new position if the price is already 75% of the way to the Red Exhaustion line. Wait for a mean reversion back to the middle.
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day_trade_mindの投稿
Trend Signals Pro Multi TFTrend Signals Pro — Multi-TF Dashboard is a compact, on-chart table that aggregates the latest BUY/SELL signals from our 4 indicators across multiple timeframes (1m → 1W). It helps you quickly spot alignment, confluence, and transitions without switching charts. What it shows Rows: Trend Adaptive Pro, Trend Confirmation Pro, Trend Engine Pro (E+X+C), Trend Exhaustion Pro Columns: 1m, 5m, 15m, 30m, 1h, 4h, 1D, 1W Cells: 1 = BUY, 0 = SELL, blank = neutral/no recent signal (within the hold window) Signal tags (optional) Adaptive: E / C Confirmation: Dot Engine: E / C (+ X exhaustion warning) Exhaustion: 9B/9S, 13B/13S, C13B/C13S Best use Multi-timeframe confluence checks • Trend continuation + reversal context • Works across assets & timeframes Disclaimer Educational use only — not financial advice.
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ronieayalaの投稿
ATH Dip Levels - Crypto Edition with Reactive TPHarika bir fikir! Bu indikatörü toplulukla paylaşırken (TradingView Public Library veya GitHub gibi), insanların stratejinin mantığını ve gücünü anlamaları için etkileyici bir İngilizce açıklama hazırladım. İşte paylaşımın için kullanabileceğin başlık, özet ve özellikler listesi: 🚀 Indicator Title: ATH Dip Levels - Crypto Reactive Strategy Overview This indicator is a specialized "Buy the Dip" and "Reactive Take Profit" system designed specifically for the high volatility of the crypto market. Instead of following lagging indicators, it focuses on the most fundamental metric: Percentage drawdown from the rolling All-Time High (ATH). It identifies historical discount zones and automatically calculates a "Reactive Take Profit" target for each entry, allowing you to scale out during market bounces. Key Features 📉 1. Dynamic Buy Zones (DCA Levels) The script tracks a rolling 220-day ATH and plots 7 distinct discount levels: Minor Pullbacks: 10%, 20% Major Corrections: 30%, 40% Capitulation / Bear Market Bottoms: 55%, 70%, 85% (Highlighted in Neon for max opportunity). 💰 2. Reactive Take Profit (The "Half-Drop" Rule) This is the core of the strategy. For every buy level triggered, the script automatically sets a "RE-SELL" target based on the severity of the drop: Logic: The profit target is exactly half of the percentage drop. Example: If you buy at a 30% dip, the target is a +15% recovery from that entry. Example: If you buy at a 70% dip, the target is a +35% recovery from that entry. This captures the natural "Dead Cat Bounce" or "Mean Reversion" common in crypto. 🧠 3. Intelligent State Management Single Trigger per Cycle: Each level triggers only once per ATH cycle to avoid "choppy" market noise. Automatic Reset: All levels and status flags reset automatically when the price makes a New ATH, preparing you for the next market cycle. 📊 4. Live Status Dashboard A clean, real-time table on the top-right shows you: Current ATH price. Which buy levels have been Hit (✅). Which profit targets have been Sold (💰). How to Use Accumulate: When price hits a green "BUY" label, it's a historical discount zone. Scale Out: When price hits the purple "RE-SELL" label, take profits on that specific position to reclaim liquidity. HODL the Rest: Use this to lower your break-even price while keeping a "moon bag" for the next ATH. Author's Note Best used on 4H and 1D timeframes. This is a mathematical approach to volatility, removing emotions from your trading.
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ardagzkrの投稿
Order Block Displacement by SoloOrder Block – Displacement Only This indicator highlights Order Blocks based strictly on price displacement (Fair Value Gaps). An Order Block is defined as the last opposing candle occurring shortly before a displacement, where price moves aggressively and leaves an imbalance. Key features: Displacement-only logic (no BOS or structure assumptions) Uses Fair Value Gaps to validate institutional momentum Optional overlap prevention (older Order Blocks have priority) Automatic invalidation when an Order Block is broken Clean and minimal chart presentation Designed for traders who focus on liquidity, imbalance, and precise entry zones, especially on lower timeframes.
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solo1979の投稿
[MetaMasters] COT INDEXThe COT Index converts the weekly net positions of Commercial traders into a normalized, cycle-based mathematical model. Rather than showing raw net positioning, the COT Index applies a cyclical normalization algorithm—most commonly over 26 weeks, with 52 weeks as an alternative. This process highlights bullish and bearish extremes in Commercial behavior more clearly. The resulting index is displayed as a color-coded line: • Green Zone – Commercials classified as bullish. Historically, strong Commercial buying activity often coincides with upward market pressure. • Red Zone – Commercials classified as bearish. This typically reflects increased downside pressure in the underlying market. • Neutral Zone – No clear directional bias; positioning sits in the mid-range. Because COT data is updated only once per week and the index is derived from multi-week cyclical analysis, the indicator is designed strictly for the weekly timeframe. Lower timeframes do not align with the structure or cadence of the underlying data. The chosen cycle length (commonly 26 or 52 weeks) determines how net positions are compared and normalized, influencing how quickly the index reaches its extreme zones. Overall, the COT Index offers an objective, systematic way to interpret Commercial trader sentiment and identify potential directional bias in the market.
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vxqpeの投稿
Auto Psychological Key Levels [Lucas_FXPro]📐 Auto Psychological Key Levels Auto Psychological Key Levels automatically plots human-relevant price levels (round numbers, big figures, and intermediate levels) across Forex, Indices, Metals, and Crypto — without manual calculations. The indicator adapts itself to the market you are viewing and focuses on clarity, structure, and psychological relevance . 🔁 Auto-Switch Presets (Recommended) When Auto-Switch Preset per Market is enabled, the indicator automatically selects appropriate level spacing based on the symbol: Forex → pip-based psychological levels Gold / Silver → round dollar levels Indices → point-based levels Crypto → large-figure levels This removes the need to manually adjust distances when switching markets. 📏 Major vs Minor Levels Major levels represent key psychological prices (e.g. 4400, 4500) Minor levels are intermediate steps between major levels Major levels are visually emphasised using: Thicker lines Stronger colours Optional price labels Minor levels can be shown as subtle structure or hidden entirely for a cleaner chart. 🧭 Line Extension Modes You can control how levels extend across the chart: None – short reference lines Forward – extend into the future (projection) Historical – extend into the past Full width – extend both left and right This allows the indicator to adapt to scalping, intraday, or higher-timeframe analysis . 🏷 Price Labels & Chart Edges Price labels are drawn inside the chart area near the chart edge for maximum readability. When Full width extension is selected, you can choose which edge displays the labels: Right edge (default) Left edge This mirrors TradingView’s built-in price scale positioning and helps keep charts organized when using full-width levels. ℹ️ Price labels are positioned visually near the chart edge for clarity and consistency across all symbols and timeframes. 🎨 Visual Customisation You can customise: Line colours for major and minor levels Line thickness Label visibility Minor-level label behavior (recommended OFF) The default settings are optimised for clean structure without clutter . 💡 Best Practices Use Auto Mode ON for seamless multi-market use Use Full width on higher timeframes for structure Hide minor labels to keep focus on key psychological prices Combine with price action for confluence and context ⚠️ Notes This indicator is designed to enhance chart structure and does not provide trading signals by itself. Always combine psychological levels with your own risk management and trading strategy.
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Lucas_FXProの投稿
Precision Scalper Pro v2026Precision Scalper Pro (ALMA + Dual RSI) - Usage Instructions 1. Setup Platform: TradingView (Desktop recommended). Timeframe: Set your chart to 1-minute (1m) or 3-minute (3m). Assets: Use high-liquidity assets only: BTC/USDT, ETH/USDT, EUR/USD, or Gold (XAUUSD). Timing: Trade during high-volume sessions (London/New York overlap is best). 2. Reading the Chart Blue Line (ALMA Trend): Price above the blue line = Only look for BUY signals. Price below the blue line = Only look for SELL signals. Green Triangle: A potential BUY (Long) signal has occurred. Red Triangle: A potential SELL (Short) signal has occurred. 3. Executing a Trade Manually Always wait for the candle to close before entering a trade. Action Buy Signal (Green Triangle) Sell Signal (Red Triangle) Enter Position Buy at market price. Short-sell at market price. Stop Loss (SL) Set SL order at the DASHED RED LINE. Set SL order at the DASHED RED LINE. Take Profit (TP) Set TP order at the DASHED GREEN LINE. Set TP order at the DASHED GREEN LINE. 4. Critical Rules for Success Candle Close: Never enter a trade while the current candle is still active; wait for it to finish and lock the signal in place. Risk Management: Never risk more than 1-2% of your total balance per trade. Early Exit: If the opposite signal appears while you are in an open trade, exit the current trade immediately and consider switching direction. Watch Fees: Ensure your broker fees don't consume your small scalping profits.
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lucasq589の投稿
Daily Alert Index Levels & ExtensionDAIL-E is a high-performance toolkit designed for traders who utilize Candle Range Theory (CRT) and Market Structure to identify high-probability liquidity sweeps and expansion targets. While most indicators only show the previous day's range, DAIL-E is "CRT on steroids"—providing a comprehensive 7-day liquidity map with integrated Fibonacci Standard Deviations. Why use DAIL-E? In CRT, the previous day's range defines the "Candle Range." Price typically sweeps one side of this range (liquidity grab) before expanding toward the other side or into standard deviation targets. DAIL-E automates this entire process, tracking "old" vs. "fresh" liquidity and projecting expansion levels instantly. DAIL-E (Daily Alert Index Levels & Extension) is a professional-grade daily structure and liquidity framework for index, futures, forex, and crypto traders. Built on the principles of Candle Range Theory, DAIL-E transforms simple daily ranges into a complete execution roadmap. This indicator is designed for traders who operate around: Liquidity raids Session-based execution Mean reversion & continuation plays What DAIL-E does differently: ✔ Keeps multi-day structure on your chart ✔ Automatically labels daily highs/lows by weekday ✔ Detects liquidity sweeps and reclaim moves ✔ Projects daily expansion targets using Fibonacci ✔ Fully customizable per-day styling This is Candle Range Theory — on steroids. If your trading is built around daily structure, DAIL-E will change how you see the market Disclaimer: This indicator is for educational purposes only and does not constitute financial advice. Trading involves risk. Use at your own discretion.
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Pinnacle_Traderの投稿
2
Percentage Price LevelsPercentage Price Levels displays dynamic price levels based on percentage gains and losses from the current price. Instantly visualize where price would be at ±2%, ±4%, ±6%, ±8%, ±10%(and beyond) — perfect for setting profit targets, stop-losses, and understanding potential price movement. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎯 WHAT IT DOES • Draws horizontal lines at percentage-based price levels above and below current price • Green lines = potential profit targets (positive %) • Red lines = potential stop-loss zones (negative %) • Yellow line = current price reference • Summary table shows all levels in a clean, easy-to-read format ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚙️ FEATURES • Up to 8 positive and 8 negative percentage levels • Fully customizable percentages (set your own values) • Toggle each level on/off individually • Adjustable font size (Tiny to Huge) • Multiple line styles (Solid, Dashed, Dotted) • Movable summary table (any corner) • Base price options: Close, Open, High, Low, HL2, OHLC4 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📈 HOW TO USE 1. Add the indicator to your chart 2. Default shows ±2%, ±4%, ±6%, ±8%, ±10% levels 3. Open Settings to customize: • Enable/disable specific levels • Change percentage values • Adjust colors and font size • Move table position ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 💡 USE CASES • Day Trading — Quick intraday profit targets • Swing Trading — Visualize multi-day price zones • Risk Management — Set stop-losses based on % risk tolerance • Options Trading — Find strike prices relative to spot • Position Sizing — See exact dollar values at each level ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔧 DEFAULT SETTINGS Positive: +2%, +4%, +6%, +8%, +10% (3 extra slots available) Negative: -2%, -4%, -6%, -8%, -10% (3 extra slots available) Font Size: Normal Line Style: Dashed ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ If you find this useful, please leave a like! Feedback and suggestions welcome in the comments.
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bigmabigの投稿
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 indicators—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 guess—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"—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 choose—the math chooses for you. Please leave a boost and a comment if you find this helpful!
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jaydesaiguの投稿
Precision Trend Signal V5Strategy Logic OverviewThis indicator is a "Triple-Confirmation" trend-following system. It combines volume-weighted smoothing, immediate price action, and momentum filtering.1. Core ComponentsEMA 1 (The Trigger): Since the period is set to 1, this represents the raw price action. It acts as the fastest possible trigger to capture entries at the exact moment a trend shifts.SALMA (The Baseline): This is a double-smoothed moving average. It provides a stabilized support/resistance line that filters out market noise better than a standard SMA.Tillson T3 (The Trend Filter): Known for its low lag and extreme smoothness. We use this as a "Guardrail." We only take BUY signals when price is above the T3 and SELL signals when price is below it.RSI (The Momentum Filter): Ensures that we only enter a trade when there is sufficient strength ($> 50$ for Long, $< 50$ for Short).2. Signal Rules🚀 BUY SignalA green BUY label appears when:Crossover: EMA 1 crosses above the SALMA line.Trend: The current price is trading above the Tillson T3 line.Momentum: RSI is greater than 50.🔻 SELL SignalA red SELL label appears when:Crossunder: EMA 1 crosses below the SALMA line.Trend: The current price is trading below the Tillson T3 line.Momentum: RSI is less than 50.3. Execution & ManagementTake Profit (TP): Based on your preference, the suggested target is 2%.Alerts: The script includes alertcondition functions. You can set up TradingView alerts to send Webhooks to your quant infrastructure or bot, solving the "manual execution" problem you mentioned.
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Oguzbey07の投稿
Range Breakout Statistics [Honestcowboy]⯁ Overview The Range Breakout Statistics uses a very simple system to detect ranges/consolidating markets. The principle is simple, it looks for areas where the slope of a moving average is flat compared to past values. If the moving average is flat for X amount of bars that's a range and it will draw a box. The statistics part of the script is a bit more complicated. The aim of this script is to expand analysis of trading signals in a different way than a regular backtest. It also highlights the polyline tool, one of my favorite drawing tools on the tradingview platform. ⯁ Statistics Methods The script has 2 different modes of analyzing a trading signals strength/robustness. It will do that for 2 signals native to the script. Upper breakout: first price breakout at top of box, before max bars (100 bars by default) Lower breakout: first price breakout at bottom of box, before max bars The analysis methods themselves are straightforward and it should be possible for tradingview community to expand this type of analysis to other trading signals. This script is a demo for this analysis, yet some might still find the native signals helpful in their trading, that's why the script includes alerts for the 2 native signals. I've also added a setting to disable any data gathering, which makes script run faster if you want to automate it. For both of the analysis methods it uses the same data, just with different calculations and drawing methods. The data set is all past price action reactions to the signals saved in a matrix. Below a chart for explaining this visually. ⯁ Method 1: Averages Projection The idea behind this is that just showing all price action that happened after signal does not give actionable insights. It's more a spaghetti jumble mess of price action lines. So instead the script averages the data out using 3 different approaches, all selectable in the settings menu. Geometric Average: useful as it accurately reflects compound returns over time, smoothing out the impact of large gains or losses. Accounts for volatility drift. Arithmetic Average: a standard average calculation, can be misleading in trading due to volatility drift. It is the most basic form of averaging so I included it. Median: useful as any big volatility huge moves after a signal does not really impact the mean as it's just the middle value of all values. These averages are the 2 lines you will find in the middle of the projection. Having a clear difference between a lower break average and upper break average price reaction can signal significance of the trading signal instead of pure chaos. Outside of this I also included calculations for the maximum and minimum values in the dataset. This is useful for seeing price reactions range to the signal, showing extreme losses or wins are possible. For this range I also included 2 matrices of highs and lows data. This makes it possible to draw a band between the range based on closing price and the one using high/low data. Below is a visualisation of how the averages data is shown on chart. ⯁ Method 2: Equity Simulation This method will feel closer to home for traders as it more closely resembles a backtest. It does not include any commissions however and also is just a visualisation of price reaction to a signal. This method will simulate what would happen if you would buy at the breakout point and hold the trade for X amount of bars. With 0 being sell at same bar close. To test robustness I've given the option to visualise Equity simulation not just for 1 simulation but a bunch of simulations. On default settings it will draw the simulations for 0 bars holding all the way to 10 bars holding. The idea behind it is to check how stable the effect is, to have further confirmation of the significance of the signal. If price simulation line moves up on average for 0 bars all the way to 10 bars holding time that means the signal is steady. Below is a visualisation of the Equity Simulation. ⯁ Signal filtering For the boxes themselves where breakouts come from I've included a simple filter based on the size of the box in ATR or %. This will filter out all the boxes that are larger top to bottom than the ATR or % value you setup. ⯁ Coloring of Script The script includes 5 color themes. There are no color settings or other visual settings in the script, the script themes are simple and always have colors that work well together. Equity simulation uses a gradient based on lightness to color the different lines so it's easier to differentiate them while still upper breaks having a different color than lower breaks. This script is not created to be used in conjunction with other scripts, it will force you into a background color that matches the theme. It's purpose is a research tool for systematic trading, to analyse signals in more depth. Metaverse color theme: ⯁ Conclusion I hope this script will help traders get a deeper understanding of how different assets react to their assets. It should be possible to convert this script into other signals if you know how to code on the platform. It is my intention to make more publications that include this type of analysis. It is especially useful when dealing with signals that do not happen often enough, so a regular backtest is not enough to test their significance.
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Honestcowboyの投稿
1
4H Session High/Low4H Asia Session Anchor Range Description: This indicator identifies and plots the price range of the specific 4-hour candle starting at 04:00 (local time). By utilizing Multi-Timeframe (MTF) logic, the high and low boundaries (wick-to-wick) remain fixed and accurate even when scaling down to lower timeframes like the 1-minute or 5-minute charts. The levels extend horizontally to the right, providing clear institutional support and resistance zones based on the early morning volatility.
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nirree11の投稿
Global M2 IndexedGlobal M2 money supply indicator that tracks liquidity from major economies (US, China, Japan, UK, Eurozone) and correlates it with Bitcoin price movements. **Features:** • Tracks global M2 money supply converted to USD • Adjustable forward offset (default 70 days) as a leading indicator • Indexed scaling to visually correlate with BTC price • Forward-looking price prediction based on liquidity trends • OUTLOOK indicator: Very Bullish → Very Bearish **How to Use:** • Blue line shows where M2 liquidity suggests BTC should be • When M2 line is above BTC price, expect potential upside • When M2 line is below BTC price, expect potential consolidation • Check the info table for specific price targets and outlook **Settings:** • Slide Days Forward: Adjust the leading indicator offset • Lookback Period: Period for indexing calculations • Country toggles: Enable/disable specific economies
Pine Script® インジケーター
predictthebitの投稿
CRT Scribe [Hammer Geek]CRT Scribe — Candle Range Theory Sweep Tracker (HTF → LTF) A tool for mapping high-timeframe Candle Range Theory sweeps onto any lower chart and tracking their key price objectives. Core Function Detects Candle Range Theory (CRT) liquidity sweeps on a user-selected higher timeframe Plots and tracks CRT target levels automatically on any lower timeframe What It Marks on the Chart When a valid HTF sweep forms and the candle closes: Broom emoji at the sweep high/low Triangle marker showing sweep direction Signal candle range box projected forward in time Three CRT targets, each labeled with TF tag: Signal Target Reference Target (midpoint of prior HTF candle) Trend Target (50% sweep → prior swing) Labels update dynamically to show Target Hit when tagged by price. Tracking Logic Targets remain active until: ✔ All three are hit, then auto-clear, or ✔ A new valid HTF sweep replaces them Optional Enhancements (Toggle Control) Opposite-Color Mode Only triggers sweeps if the close is opposite color vs prior candle Directional Persistence Mode Ignores same-direction sweeps unless they push a new extreme (higher-high for bearish, lower-low for bullish) Purpose Use high-timeframe liquidity sweeps as: Bias anchors Objective levels Price magnets Lower-timeframe entry/location guides *** This is not financial advice, this is not trading advice, I'm not even guaranteeing that this is good candle range theory.
Pine Script® インジケーター
HammerGeekの投稿
3
LSE Chrono-Behavior Forecast🎯 ANTICIPATE THE MOVE. TRADE THE EDGE. The Chrono-Behavior Forecast is a revolutionary forward-looking indicator that projects future market behavior and reversal points directly onto your chart. Unlike traditional indicators that are based on lagging data, this indicator shows you what's coming next. 📊 WHAT MAKES THIS DIFFERENT While most indicators look backward at historical price action, the Chrono-Behavior Forecast does the opposite: it plots a non-repainting forecasted line that projects market timing, behavior, and reversals for up to 24 hours into the future. All forecasts are generated BEFORE market open - no curve fitting, no hindsight bias, no repainting. What you see is pure forward-looking analysis. ⚡ KEY FEATURES • Non-Repainting Forecasts - The forecasted line never changes after it's plotted. What you see is what you get. • Any Asset Class - Works on stocks, futures, forex, crypto, commodities - any tradable instrument. Place this indicator on any chart and see our forecasted line plotted right on it. • Any Intraday Timeframe - Optimized for day trading timeframes from 1 second to 6 hours. Use shorter timeframes (1-5 min) for quick scalps, longer timeframes (15 min - 6 hr) for more deliberate entries. • Battle-Tested - We trade these same indicators ourselves. Your success is our success. 🔬 THE METHODOLOGY The Chrono-Behavior Forecast is the culmination of over two decades of intensive research into the hidden mechanics of market movement. We've moved beyond standard technical analysis to uncover the specific, repeatable forces that drive market behavior. Market Energy Analysis - Our proprietary algorithm analyzes decades of historical data to decode how global exchanges influence specific asset classes over time. Energy Forecasting - We forecast the future energy that markets are expected to exert, mapped to precise time windows throughout your trading session. Behavioral Footprints - By mapping these "behavioral footprints" against time, we predict market impacts and reversals well before they manifest. 📈 HOW TO USE • Identify Future Reversal Points - Use the forecasted peaks and valleys to anticipate market turning points. • Time Your Entries & Exits - The forecast gives you the foresight to time your trades with confidence. • Combine Multiple Markets - Layer multiple Chrono-Behavior Forecasts on a single chart to see how competing market forces converge to drive price action. ⚠️ IMPORTANT NOTES • Best used for intraday trading on timeframes between 1 second and 6 hours. • As with day trading in general, exercise caution during high market volatility events (e.g., NFP, FOMC announcements) and the first few minutes after US market open. • We have forecasting indicators for 28 global exchanges including NYSE, NASDAQ, CME, LSE, TSE, SSE, and more - that can be applied to ANY chart. 🌐 CURRENTLY AVAILABLE EXCHANGES USA: NYSE, NASDAQ, CME, ICE, CBOE UK: LSE Europe: Euronext, Deutsche Börse, Swiss Exchange, Nasdaq Nordic, Spanish Exchanges Asia: TSE, SSE, SZSE, HKEX, NSE India, TWSE, KRX, SGX, SET, Bursa Malaysia, IDX Other: TSX, TASI, ASX, JSE, ADX, B3 Custom exchange forecast development available upon request.
Pine Script® インジケーター
MarketsCompassの投稿