Get started

Forecasting

PL - Pivot Points Ultimate Profit Lock (PL)-Pivot Points Ultimate — Precision Turns. Real-Time Edge. **PL-Pivot Points Ultimate** is a price-action tool built to spot **probable turning points** before most lagging indicators even react. It plots **Daily, Weekly, and Monthly** pivot structures—each independently toggleable—so you can keep your chart clean and focused on the levels that matter for your timeframe. ## What makes it different * **Custom session logic:** Pivots are calculated from **4:30 pm to 4:15 pm (next day)** by default, aligning with how many U.S. markets actually trade. You can **adjust the calculation window** to match your instrument or brokerage session. I personally use them for ES & YM. I find these 2 indexes. That means pivot lines that better reflect true market flow— * **Modular visibility:** Turn **Daily**, **Weekly**, or **Monthly** pivots **on/off** with a click. Build a multi-timeframe map of support/resistance without clutter. * **Price-first, not lagging:** Pivots anchor directly to raw price, giving you an **objective structure** to frame trades in real time. ## How I trade it (two simple, repeatable plays) > These are my personal playbooks—test and adapt to your market and risk rules. 1. **Fade the move at R2 / S2 on choppy days** When the tape is range-bound, hits of **R2** or **S2** often precede snap-backs. In my observations, **a large majority** of R2/S2 touches resolve into a turn, offering a clean fade with defined risk. 2. **Fade extremes at R3 / S3** **R3/S3** are rare air. In my testing, **most** touches at these bands mark **exhaustion** and frequently tag the **session high/low**. I treat these as tactical reversal zones with tight risk controls. > **Important:** Markets change. The percentages above reflect my historical observations and backtests on specific instruments/timeframes and **are not guarantees**. Always confirm with your own testing, context, and risk management. ## Why traders like it * **Objective S/R:** Cuts through FOMO by showing where auction pressure is *likely* to shift. * **Context at a glance:** Know when you’re trading **into** a level versus **away** from one. * **Discipline builder:** Pre-plotted bands help you plan entries, stops, and take-profits *before* the emotion hits. ## Features at a glance * Daily / Weekly / Monthly pivots (classic set: Pivot, R1–R3, S1–S3) * Independent toggles per timeframe * Adjustable session start/end (default **4:30 pm → 4:15 pm**) * Clean, readable levels designed for intraday and swing ## Best practices * Pair with **tape/context** (trend, volatility, market internals). * On strong trend days, treat R1/S1 as **break-and-go**; On these days i want until the PP levels are broken and price retraces. At this point, I will take the trade on the retracement. * reserve R2/R3 or S2/S3 for **fade attempts** only with confirmation. * Use **pre-defined stops** beyond the level and scale out into mean reversion. **Bottom line:** PL-Pivot Points Ultimate gives you a clearer, session-aware map of where price is **likely** to react—so you can trade decisively, avoid chasing, and let the market come to you. Profit Lock is a comprehensive day trading program. This is a one-year mentorship. You can visit CatalystWealthCoaching.com for more details.
Pine Script® indicator
by starone777
Strong Next-Candle Bias v1.0 [JopAlgo]Strong Next-Candle Bias v1.0 — fast, objective green/red for the very next bar What it does: Scores the current bar on five simple facts (breakout, body size, close location, trend, compression) and, if confidence ≥ your threshold, prints a Strong LONG or Strong SHORT for the next candle—with a clear confidence % label. What you’ll see on the chart Triangles: big teal ▲ below bar = Strong LONG; big red ▼ above bar = Strong SHORT. Confidence labels: “LONG 82%” / “SHORT 78%” printed on the signal bar. Context EMAs: EMA-Fast (teal) and EMA-Slow (orange) so you can see trend slope/stack. Top-right hint (last bar): quick text summary (e.g., “No strong signal (Long 64% | Short 58%)”). Why you got a signal (the scoring, plain English) Each bar earns points (0–100). If total ≥ Confidence threshold (default 75), you get a signal. Long points (+): Breakout up of the last breakoutLen bars’ high (excludes the forming bar to reduce noise). Real body ≥ min % of the bar (minBodyPct, default 70%) → shows intent. Close in top of the bar (topZonePct, default top 25%). Trend up (EMA-Fast > EMA-Slow). Compression before break (optional): recent range was tight (compLen, compMaxRangeP) → energy release. Short uses the mirrored checks (breakdown, body %, close in bottom, trend down, compression). You can see/tune the weights in code (w_breakout, w_body, w_zone, w_trend, w_comp). How to use it (simple playbook) Location first. Only act at real levels: Volume Profile v3.2 (VAH/VAL/POC/LVNs) or Anchored VWAP (session/weekly/event). Take the strong ones. Trade only when a Strong LONG/SHORT prints at your level and the EMAs agree (fast above slow for longs, below for shorts). Execute on the next bar. The signal is for the next candle. Enter on the retest/hold or break continuation, not mid-bar. Risk with structure. Stop goes beyond the level (or beyond signal bar’s extreme), not on indicator flips. First targets: POC/HVNs or the next obvious swing. Quality check (optional, recommended). If you use CVDv1 , prefer signals where Alignment = OK and Absorption ≠ red against your side. Settings that matter (and how to tune) Breakout lookback (breakoutLen, 20): higher = stricter break, fewer signals; lower = more signals, more noise. Trend EMAs (emaFastLen 25 / emaSlowLen 100): define your trend backbone. Intraday can use 9/34 or 21/55; swings 20/100. Min real-body % (minBodyPct, 70%): raise to demand stronger intent; lower to catch more setups. Close in top/bottom % (topZonePct, 25%): tighter zone = stricter, cleaner signals. Compression filter (useCompression, compLen 10, compMaxRangeP 3%): ON helps avoid random prints; raise % if your market is very volatile. Confidence threshold (thresholdPct, 75%): 70–75%: balanced (default). 80–85%: strict (fewer, higher-quality). 90%+: rare A+ only. Tip: Start with defaults for a week. Note which wins/loses. If you see false prints, raise threshold or increase body/zone requirements. Timeframe guide 1–5m (scalps): Consider 9/34 EMAs, breakoutLen 10–15, keep compression ON. Signals are frequent—only take them at Session AVWAP or VP edges. 15m–1H (intraday): Defaults work out of the box. 2H–4H (swing): 21/55 or 20/100 EMAs, breakoutLen 20–30. You’ll get fewer, cleaner signals. 1D+ (position): Use for daily closes near weekly levels; execute on a lower TF. Examples you’ll recognize Textbook continuation (long): Pullback to VAL/AVWAP, strong up bar (big body, closes in top), EMAs up, optional prior compression → Strong LONG 78–90%. Fresh breakout (short): Breakdown of a multi-day floor, EMAs down, body closes in bottom, RVOL↑ (if you track it) → Strong SHORT. Skip: Signal mid-range without a level; or against the EMAs (fast/slow disagreement). FAQs Does it repaint? No on closed bars. It deliberately excludes the live bar from breakout calc to reduce pre-close noise. Can I see “why” a bar scored high? Yes—each component is a visible behavior: break, big body, top/bottom close, EMA stack, pre-compression. Tune thresholds to your market. Is it only for crypto? Works on any instrument/timeframe; calibrate thresholds for volatility. Starter presets Intraday (15m/1H): 20 / EMAs 21 & 55 / body 70% / top 25% / compression ON / 75% threshold. Swing (4H): 20–30 / EMAs 20 & 100 / body 70–80% / top 20–25% / compression ON / 80% threshold. Short Disclaimer & License This tool is for education, not financial advice. Trading involves risk; test it first, size sensibly, and make decisions using your own judgment. Results can vary with data feeds and markets; no warranties are given.
Pine Script® indicator
by JopAlgo
MTF State of Delivery by @traderprimezOverview This indicator provides a comprehensive, multi-timeframe view of institutional orderflow, a core concept from Inner Circle Trader (ICT) methodologies. It is designed to objectively identify the market's "State of Delivery"—whether price is currently in a bullish or bearish orderflow—on both your current chart (Lower Timeframe) and a relevant Higher Timeframe. By visualizing these key directional shifts, the indicator helps traders align with the dominant market bias, identify high-probability setups, and avoid trading against the underlying institutional intent. Core Concept: The Orderflow Switch The entire logic is built upon a specific two-candle price action pattern called a "Switch," which signals a potential turning point in the market. Bullish Switch: A bullish candle followed immediately by a bearish candle. This duo creates a short-term resistance level. Orderflow is confirmed Bullish when a later bullish candle closes above this level. Bearish Switch: A bearish candle followed immediately by a bullish candle. This duo creates a short-term support level. Orderflow is confirmed Bearish when a later bearish candle closes below this level. Features & How to Read the Chart This indicator plots several visual elements to provide a complete picture of the market's state: Status Table: Located at the top of the chart, this table provides an at-a-glance summary of the current State of Delivery for both the Higher Timeframe (HTF) and Lower Timeframe (LTF). The status cells dynamically change color to reflect the current bias (Blue for Bullish, Red for Bearish). Confirmed Orderflow Lines: Thick Solid Lines: These represent the confirmed orderflow on the Higher Timeframe. A thick blue line indicates the HTF is in a bullish state, while a thick red line indicates a bearish state. Thin Solid Lines: These represent the confirmed orderflow on your current chart (LTF). A thin blue line confirms a local bullish shift, and a thin red line confirms a local bearish shift. Pending Switch Levels (Dotted Lines): These forward-extending dotted lines mark the most recent switch levels that have not yet been broken. They represent the "lines in the sand"—the exact price levels that need to be breached to confirm the next shift in orderflow on both the LTF and HTF. Multi-Timeframe Analysis The indicator's power comes from its ability to sync LTF price action with the HTF narrative. It automatically determines the relevant HTF based on your current chart, using the following logical pairings: 1m or 3m chart 15 Minute 5m chart 1 Hour 15m chart 4 Hour 1h chart 1 Day 4h chart 1 Week 1d chart 1 Month Note: The HTF feature will be inactive on unmapped timeframes. How to Use in Your Trading This tool is designed to be a confluence factor in your trading system, not a standalone signal generator. High-Probability Setups: The strongest signals occur when the LTF confirms an orderflow shift that is in the same direction as the established HTF bias. For example, look for long entries after a thin blue LTF line appears while the dominant HTF line is also blue. Confirmation: Use the break of a pending (dotted) line as a final confirmation for an entry you have already identified through your own analysis (e.g., at a Fair Value Gap or Order Block). Risk Management: An opposing orderflow shift can serve as an early warning to manage a trade or take profits. For instance, if you are long and a bearish (red) LTF orderflow is confirmed, it may signal that the short-term momentum is shifting against you. Settings The indicator is fully customizable, allowing you to: Toggle the visibility of the Status Table, HTF/LTF confirmed lines, and HTF/LTF pending lines. Customize the colors and line widths for all elements to match your chart theme. Disclaimer: This tool is for educational and analytical purposes only. It is not financial advice. All trading involves substantial risk, and past performance is not indicative of future results. Please perform your own due diligence and risk management.
Pine Script® indicator
by traderprimez
16
Mitigation Blocks — Lite (ICT) + Arrows + Stats📌 Mitigation Blocks — Lite (ICT-Based) + Arrows This indicator detects mitigation blocks based on price structure shifts, inspired by ICT (Inner Circle Trader) concepts. It works by identifying strong impulses and highlighting the last opposite candle, forming a mitigation block zone for potential reversal or continuation trades. 🔍 Features: ✅ Automatic detection of bullish and bearish mitigation blocks 🟩 Box visualization with border color change on mitigation (first touch) 📉 ATR-based impulse filtering 📌 Entry arrows on first mitigation (touch) 📊 Autoscale anchors for better chart readability 📈 Real-time HUD info panel 📉 Backtest-friendly design (stable, deterministic logic) 🛠️ How it works: Detects swing highs/lows using pivot points. Confirms impulse candles breaking recent structure. Locates the last opposite candle as the mitigation block. Displays a block box until price revisits the zone. On the first touch (mitigation), the block is marked and arrows are drawn. 💡 Ideal Use Case: Apply this on higher timeframes (e.g., 4H) to identify potential limit order zones. Use the blocks as entry zones and combine with confluence: FVGs, imbalance, S&D, or liquidity levels. 🧠 Extra Tip: You can extend this script to include: Win-rate tracking Auto TP/SL levels based on ATR Confluence detection (e.g., FVG, order blocks)
Pine Script® indicator
by Bonavivitalik
Trend Discovery by Alex Trend States (Up / Reversal / Down)Author: © Alex Neighbors Version: v6 The Call/Put Arrow Indicator is a complete market direction tool that identifies high-probability CALL (bullish) and PUT (bearish) opportunities using a combination of: Simple Moving Averages (SMA) RSI Momentum MACD confirmation VWAP trend filtering Real-time trend classification (Trending Up, Trending Down, or Reversal) It provides visual buy/sell arrows, trend labels, and alerts, helping traders quickly recognize optimal option entry points and directional momentum changes. *** How It Works ✅ CALL Arrow (Green, Up Arrow Below Candle): Triggered when: Fast SMA > Slow SMA (uptrend) RSI > Threshold (default 55) MACD Line > Signal Line (Optional) Price > VWAP 🔻 PUT Arrow (Red, Down Arrow Above Candle): Triggered when: Fast SMA < Slow SMA (downtrend) RSI < Threshold (default 45) MACD Line < Signal Line (Optional) Price < VWAP **Trend Detection System: Trending Up: Both SMAs rising with bullish alignment Trending Down: Both SMAs falling with bearish alignment Trend Reversal: Detected instantly when Fast SMA crosses the Slow SMA (marked by a diamond) Visuals 🟩 Green arrows below candles for CALL entries 🟥 Red arrows above candles for PUT entries 🟢/🔴 Diamonds mark trend reversals Trend status panel in the top-right corner Optional background or bar coloring for quick visual confirmation Alerts You can create alerts for: CALL Buy Signal PUT Buy Signal Trend Reversal Up Trend Reversal Down All alerts trigger exactly when arrows or reversals appear on the chart. --Best Use Works on any symbol or timeframe (scalping, swing, or trend trading) Optimized for SPX, QQQ, TSLA, and high-volume tickers Ideal for traders combining options flow or price action confirmation Customization You can adjust: SMA lengths RSI thresholds MACD parameters VWAP filter toggle Background/bar coloring and panel display Why Traders Love It Simple, clean chart visuals Non-repainting, confirmed-bar signals Multi-filter logic for high accuracy Trend panel for instant context Use this indicator to stay on the right side of the market. Identify reversals early, trade the momentum confidently, and never miss your next CALL or PUT setup again.
Pine Script® indicator
by Neighboa
1
Chaos Theory Pro # Anyone who has paid for this script previously, please DM as per author instructions to continue your lifetime access ## The Edge: Smart Zone-Based Trading This indicator's primary advantage lies in its zone-based approach that naturally encompasses critical areas of support and resistance. These zones capture key market structures including: - High-volume price clusters - Support-to-resistance (and resistance-to-support) transitions - Other significant price action areas By identifying these zones, the indicator addresses two of the most challenging problems in trading : optimal stop loss placement and take profit targeting. --- ## How to Use This Indicator ### Entry Rules: Limit Orders Only Critical: All entries must be LIMIT orders. Never use market orders or stop orders. Here's why: - Why limit orders? The zones represent areas of strong support and resistance (an unintended but beneficial feature of the indicator's design). Price frequently pulls back to these zones before continuing, giving you optimal entry opportunities. - Why not market orders? You'll miss the better prices at the zone boundaries. - Why not stop orders? These zones are areas of intense market activity. Price often "spikes" through zone borders to capture liquidity before reversing in the intended direction. Stop orders would get triggered on these false moves. Proper Entry Technique: 1. Wait for the candle/bar to close 2. Place your limit order at the zone border 3. Let price come to you ### Take Profit Strategy Target the next zone (recommended) or multiple zones ahead based on your risk appetite. The simplest and most consistent approach is single-zone targeting. --- ## Your Responsibility: Confluence Analysis The indicator tells you WHERE to enter, WHERE to place your stop loss, and WHERE to take profit. But you must determine WHEN to trade by identifying confluences. ### Minimum Requirement: 3 Confluences Before placing any order, look for at least three confirming signals from: - Divergences : RSI, MFI, or CVD candles - Volume analysis : Volume Profile - Order flow : Footprint charts - Price action : Candlestick patterns - Market theories : Wyckoff, Dow Theory, Elliott Wave - Other technical tools of your choice ### You Have Time The indicator provides alerts when price approaches a zone . During the pullback, you have time to conduct thorough confluence analysis. Only place your limit order after identifying your 3+ confluences. --- ## Alternative Approaches If you backtest and find that market entries work better for your specific strategy (e.g., using moving average crossovers or other triggers), you're free to adapt the method. However, the limit order approach outlined above is designed to work consistently for everyone, regardless of whether they have an existing strategy. --- ## How the Indicator Works: The Mathematical Foundation ### Based on Chaos Theory - A Predictive, Not Reactive System This indicator represents a fundamentally different approach to market analysis. Unlike traditional indicators that describe what price has done (using averages, volume, volatility), this system predicts where price will go using chaos theory mathematics. Key Principle : Price behaves as a complex dynamical system that is highly sensitive to initial conditions - similar to weather patterns or planetary orbits. While we cannot predict when price will reach a destination, we can predict where it will likely travel within probability bounds. ### What Makes This Different Traditional Indicators: - React to historical data with lagging signals - Use linear mathematics and statistical averages - Assume markets are random or follow simple patterns This Chaos Theory Approach: - Proactively identifies future probability zones - Uses non-linear complex systems mathematics - Treats markets as chaotic but mathematically predictable - Applies universal mathematical laws (no curve fitting needed) ### The Butterfly Effect in Trading Small changes at critical junctures can cascade into major trend changes. The indicator identifies these critical probability zones - mathematical "attractors" toward which price is naturally drawn. ### Understanding the Zones Orange Zones : Mathematical probability destinations where price is likely to expand Activation Rule : Price must close outside any zone (full candle body, not just wicks) to activate the next probability destination Primary Principle : Once activated, price travels to the next zone before closing back behind the originating zone border Red Dots : Indicate areas where valid zone sets were available for trading. Empty spaces mean price closed past the highest/lowest zone or zones were invalidated. ### Probability-Based Performance The indicator includes a statistics panel that measures real-time success rates - tracking how often price reaches predicted zones before invalidation. This transparent performance measurement allows you to verify probability calculations for your specific symbol and timeframe. ### Universal Application Because this is based on fundamental mathematical principles (not optimized parameters), it works consistently across: - All markets: Forex, stocks, crypto, commodities - All timeframes: From scalping to position trading - All conditions: No adjustments needed for different instruments Important Understanding : Price is a fractal structure with multiple initial conditions forming and clashing simultaneously. External events and market manipulation can interfere with natural system progression. This is why we provide probabilities, not certainties. --- Summary : This indicator gives you the framework—precise zones for entries, stops, and targets based on chaos theory mathematics. You provide the timing through confluence analysis. Together, this creates a complete, systematic approach to trading with probability on your side. --- ## Technical Features & Alert System ### Alert System Enhancement Alert Type Selector: * "Limit Alerts" (pending orders) vs "Normal Alerts" (market orders) * 8 fully customizable alert message templates with placeholder support: * Limit Long Entry * Limit Short Entry * Normal Long Entry * Normal Short Entry * Limit Long TP/Cancel * Limit Short TP/Cancel * Normal Long TP * Normal Short TP ### Placeholder System Dynamic placeholder replacement function supporting: * {SYMBOL} - Trading pair/instrument * {ENTRY} - Entry price level * {SL} - Stop loss price level * {TP} - Take profit price level * {COMMENT} - Additional trade notes * {TIMEFRAME} - Current chart timeframe * {TIME} - Alert trigger time * {ZONE} - Zone identifier Users can customize alert messages while maintaining data accuracy across all automated trading platforms. ### Alert Trigger Points * Entry alerts fire when zone breakout occurs (i == 0) * TP alerts fire when take profit conditions are met * Unique zone identifiers prevent duplicate alerts per zone set (format: Z L/S ) ### Input Parameters Converted hardcoded values to adjustable inputs for maximum flexibility: * Lookback Period : 10-500 (default 50) * Value Area Share : 0.1-0.9 (default 0.3) * Show Volume Profile Stats : Toggle on/off * Has Premium Subscription : Toggle on/off * Vertical Display : Toggle on/off ### Code Compliance * All line.new(), label.new(), and table.new() calls formatted on single lines per PineScript v6 requirements * Proper variable declarations to prevent compilation errors * Optimized for maximum performance and stability Core Logic : All original zone calculation, validation, and visualization logic remains intact and unchanged.
Pine Script® indicator
by jacesabr_real
Current Price (Customizable) by DRtradeCurrent Price Line & Dynamic Label (Fully Customizable) The ultimate tool for clear, real-time price visualization. This powerful, lightweight indicator draws a clean horizontal line at the current market price, updating instantly with every price tick. Unlike other current price line scripts, this tool ensures you always see where the price is right now and provides full control over every visual element. Key Features: - Real-Time Tracking: The line moves dynamically with price ticks within the current candle, eliminating lag and providing true current market price awareness. - Line Extension Control: Choose to extend: Left, Right, or Both. Helpful for scalpers and options traders - Visual Customizations: Color, Style, Size, Width, etc. - Label Positioning: Left of Candle, Above Candle, or Right of Candle All customization options are available in the indicator's settings menu. Ping me with feature reqeusts.
Pine Script® indicator
by drtrade
COT - Weekly Summary# COT Weekly Summary Dashboard - User Manual ## 📊 Overview **COT Weekly Summary** is an advanced Pine Script dashboard that provides comprehensive real-time analysis of CFTC COT (Commitment of Traders) data. This professional tool allows you to monitor net positions of non-commercial traders across currencies, precious metals, and commodities, all within a single elegant and customizable interface. ### 🎯 Key Features - **Multi-Asset Analysis**: Major currencies, precious metals, and commodities - **Real-Time Data**: Automatic weekly updates from CFTC reports - **BestPair Detector**: Automatically identifies the best trading opportunities - **Customizable Interface**: Colors, sizes, and positioning fully configurable - **Dynamic Watermark**: Motivational phrases that change with each new bar --- ## ⚙️ Configuration and Customization ### 📍 Table Position **Setting**: `Table Position` - **Top Left**: Top left corner - **Top Center**: Top center - **Top Right**: Top right corner - **Middle Left**: Middle left - **Middle Center**: Screen center - **Middle Right**: Middle right - **Bottom Left**: Bottom left corner - **Bottom Center**: Bottom center - **Bottom Right**: Bottom right corner ### 📊 Data Type **Setting**: `Data Type` - **Futures Only**: Futures contracts only - **Futures and Options**: Futures + options (more complete data) ### 🎨 Color Customization #### Base Table Colors - **Header Background**: Header background color - **Header Text**: Header text color - **Frame Color**: Table frame color - **Border Color**: Cell border color #### Dynamic Row Colors - **Positive Background**: Background for positive changes - **Positive Text**: Text for positive changes - **Negative Background**: Background for negative changes - **Negative Text**: Text for negative changes - **Neutral Background**: Background for neutral changes #### BestPair Colors (Dynamic Gradient) - **Red Background**: Pairs with strength 0-10 - **Orange Background**: Pairs with strength 10-20 - **Yellow Background**: Pairs with strength 20-30 - **Light Green Background**: Pairs with strength 30-70 - **Dark Green Background**: Pairs with strength 70+ ### 📏 Text Size **Available options**: Tiny, Small, Normal, Large, Huge --- ## 📋 Asset Categories ### 💱 Major Currencies **Activation**: `Show Major Currencies` Monitors the 8 main Forex currencies: - **EUR** - Euro - **GBP** - British Pound - **JPY** - Japanese Yen - **CHF** - Swiss Franc - **CAD** - Canadian Dollar - **AUD** - Australian Dollar - **NZD** - New Zealand Dollar - **USD** - US Dollar ### 🥇 Metals **Activation**: `Show Metals` Includes the main precious metals: - **GOLD** - Gold - **SILVER** - Silver - **PLATINUM** - Platinum - **PALLADIUM** - Palladium - **COPPER** - Copper ### 🌾 Commodities **Activation**: `Show Commodities` Covers the most important commodities: - **WTI** - West Texas Intermediate Oil - **NATURAL GAS** - Natural Gas - **COCOA** - Cocoa - **CORN** - Corn - **SUGAR** - Sugar - **COFFEE** - Coffee - **SOYBEANS** - Soybeans ### 🎯 BestPair Detection **Activation**: `Show BestPair` The BestPair system automatically analyzes all currencies and identifies the best trading opportunities by combining: - Currencies with positive changes (bullish trend) - Currencies with negative changes (bearish trend) - Calculation of "Strength Score" for each pair **How it works**: 1. Identifies currencies with opposite trends 2. Calculates relative strength of each pair 3. Applies dynamic colors based on strength 4. Shows only the most promising pairs --- ## 📊 Data Interpretation ### Table Columns 1. **ASSET**: Asset name (currency, metal, commodity) 2. **NET POSITIONS**: Current net positions of non-commercial traders 3. **# CHANGE**: Numerical change from previous week 4. **% CHANGE**: Percentage change (determines row color) ### 🎨 Color System - **Green**: Positive changes (bullish sentiment) - **Red**: Negative changes (bearish sentiment) - **Neutral**: Minimal or no changes ### 📈 BestPair Strength Score The color system for BestPair indicates pair strength: - **🔴 Red (0-10)**: Low strength - **🟠 Orange (10-20)**: Moderate strength - **🟡 Yellow (20-30)**: Good strength - **🟢 Light Green (30-70)**: High strength - **🟢 Dark Green (70+)**: Excellent strength --- ## 💡 Usage Tips ### ⏰ **IMPORTANT: Weekly Timeframe Only** **This indicator works ONLY on Weekly (1W) timeframe. Make sure your chart is set to Weekly before using the dashboard.** ### 📊 Weekly Analysis - COT data is updated every Tuesday (previous Friday's data) - Focus on percentage changes rather than absolute values - Changes above 10% are generally significant ### 🎯 Trading with BestPair - Dark green pairs (70+) offer the best opportunities - Combine COT analysis with technical analysis - Consider opposite sentiment as potential reversal ### ⚡ Performance Optimization - Disable unnecessary categories to reduce loading times - Use "Futures Only" if you don't need options data - Position the table where it doesn't interfere with your charts --- ## ❓ Troubleshooting ### Common Issues 1. **Table not appearing**: Check that you're on Weekly timeframe 2. **Data not updating**: COT data is released with a 3-day delay 3. **Performance issues**: Disable unused asset categories 4. **Colors not showing**: Verify color settings in Style tab ### Technical Requirements - **Timeframe**: Weekly (1W) only - **Market**: Works on any symbol (data is independent) - **Account**: Works with any TradingView account type --- ## 🤝 Support the Project If this indicator has been helpful for your trading analysis, consider supporting its development: **☕ Buy Me a Coffee**: buymeacoffee.com Your support helps maintain and improve this tool for the entire trading community! --- **Happy Trading! 📈** ---
Pine Script® indicator
by Marines3B
EMA 20+50 + MACD Strateji ( omerprıme)EASY BUY-SELL basitçe al -sat yapabileceğiniz macd indikatörü ve ema kullanılmış bir indikatördür unutmayın ki ne kadar basit o kadar verimli. Moving Averages) to generate trading signals and trend confirmation. Trend Identification with EMA Two EMAs are used to determine the overall market trend (commonly a short-term EMA and a long-term EMA). When the short EMA crosses above the long EMA, it indicates an uptrend. When the short EMA crosses below the long EMA, it signals a downtrend. Signal Confirmation with MACD The MACD line and Signal line are analyzed to detect momentum shifts. A bullish signal occurs when the MACD line crosses above the Signal line, especially if the EMAs confirm an uptrend. A bearish signal occurs when the MACD line crosses below the Signal line, especially if the EMAs confirm a downtrend. Trading Logic Buy signals appear only when both the EMA trend is bullish and the MACD confirms momentum to the upside. Sell signals appear only when both the EMA trend is bearish and the MACD confirms momentum to the downside.
Pine Script® indicator
by gomer3355
Brownian Motion Probabilistic Forecasting (Time Adaptive)Probabilistic Price Forecast Indicator Overview The Probabilistic Price Forecast is an advanced technical analysis tool designed for the TradingView platform. Instead of predicting a single future price, this indicator uses a Monte Carlo simulation to model thousands of potential future price paths, generating a cone of possibilities and calculating the probability of specific outcomes. This allows traders to move beyond simple price targets and ask more sophisticated questions, such as: "What is the probability that this stock will increase by 5% over the next 24 hours?" Core Concept: Geometric Brownian Motion The indicator's forecasting model is built on the principles of Geometric Brownian Motion (GBM) , a widely accepted mathematical model for describing the random movements of financial asset prices. The core idea is that the next price step is a function of the asset's historical trend (drift), its volatility, and a random "shock." The formula used to project each price step in the simulation is: next_price = current_price * exp( (μ - (σ²/2))Δt + σZ√(Δt) ) Where: μ (mu) represents the drift , which is the average historical return. σ (sigma) represents the volatility , measured by the standard deviation of historical returns. Z is a random variable from a standard normal distribution, representing the random "shock" or new information affecting the price. Δt (delta t) is the time step for each projection. How It Works The indicator performs a comprehensive analysis on the most recent bar of the chart: **Historical Analysis**: It first analyzes a user-defined historical period (e.g., the last 240 hours of price data) to calculate the asset's historical drift (μ) and volatility (σ) from its logarithmic returns. **Monte Carlo Simulation**: It then runs thousands of simulations (e.g., 2000) of future price paths over a specified forecast period (e.g., the next 24 hours). Each path is unique due to the random shock (Z) applied at every step. **Probability Distribution**: After all simulations are complete, it collects the final price of each path and sorts them to build a probability distribution of potential outcomes. **Visualization and Signaling**: Finally, it visualizes this distribution on the chart and generates signals based on the user's criteria. Key Features & Configuration The indicator is highly configurable, allowing you to tailor its analysis to your specific needs. Time-Adaptive Periods The lookback and forecast periods are defined in hours , not bars. The script automatically converts these hour-based inputs into the correct number of bars based on the chart's current timeframe, ensuring the analysis remains consistent across different chart resolutions. Forecast Quartiles You can visualize the forecast as a "cone of probability" on the chart. The indicator draws lines and a shaded area representing the price levels for different quartiles (percentiles) of the simulation results. By default, this shows the range between the 25th and 95th percentiles. Independent Bullish and Bearish Signals The indicator allows you to set independent criteria for bullish and bearish signals, providing greater flexibility. You can configure: A bullish signal for an X% confidence of a Y% price increase. A bearish signal for a W% confidence of a Z% price decrease. For example, you can set it to alert you for a 90% chance of a 2% drop, while simultaneously looking for a 60% chance of a 10% rally. How to Interpret the Indicator The Forecast Cone : The blue shaded area on the chart represents the probable range of future prices. The width of the cone indicates the expected volatility; a wider cone means higher uncertainty. The price labels on the right side of the cone show the calculated percentile levels at the end of the forecast period. Green Signal Label : A green "UP signal" label appears when the probability of the price increasing by your target percentage exceeds your defined confidence level. Red Signal Label : A red "DOWN signal" label appears when the probability of the price decreasing by your target percentage exceeds your confidence level. This tool provides a statistical edge for understanding future possibilities but should be used in conjunction with other analysis techniques.
Pine Script® indicator
by mattimeo_mouse
Volume Based Sampling [BackQuant]Volume Based Sampling What this does This indicator converts the usual time-based stream of candles into an event-based stream of “synthetic” bars that are created only when enough trading activity has occurred . You choose the activity definition: Volume bars : create a new synthetic bar whenever the cumulative number of shares/contracts traded reaches a threshold. Dollar bars : create a new synthetic bar whenever the cumulative traded dollar value (price × volume) reaches a threshold. The script then keeps an internal ledger of these synthetic opens, highs, lows, closes, and volumes, and can display them as candles, plot a moving average calculated over the synthetic closes, mark each time a new sample is formed, and optionally overlay the native time-bars for comparison. Why event-based sampling matters Markets do not release information on a clock: activity clusters during news, opens/closes, and liquidity shocks. Event-based bars normalize for that heteroskedastic arrival of information: during active periods you get more bars (finer resolution); during quiet periods you get fewer bars (coarser resolution). Research shows this can reduce microstructure pathologies and produce series that are closer to i.i.d. and more suitable for statistical modeling and ML. In particular: Volume and dollar bars are a common event-time alternative to time bars in quantitative research and are discussed extensively in Advances in Financial Machine Learning (AFML). These bars aim to homogenize information flow by sampling on traded size or value rather than elapsed seconds. The Volume Clock perspective models market activity in “volume time,” showing that many intraday phenomena (volatility, liquidity shocks) are better explained when time is measured by traded volume instead of seconds. Related market microstructure work on flow toxicity and liquidity highlights that the risk dealers face is tied to information intensity of order flow, again arguing for activity-based clocks. How the indicator works (plain English) Choose your bucket type Volume : accumulate volume until it meets a threshold. Dollar Bars : accumulate close × volume until it meets a dollar threshold. Pick the threshold rule Dynamic threshold : by default, the script computes a rolling statistic (mean or median) of recent activity to set the next bucket size. This adapts bar size to changing conditions (e.g., busier sessions produce more frequent synthetic bars). Fixed threshold : optionally override with a constant target (e.g., exactly 100,000 contracts per synthetic bar, or $5,000,000 per dollar bar). Build the synthetic bar While a bucket fills, the script tracks: o_s: first price of the bucket (synthetic open) h_s: running maximum price (synthetic high) l_s: running minimum price (synthetic low) c_s: last price seen (synthetic close) v_s: cumulative native volume inside the bucket d_samples: number of native bars consumed to complete the bucket (a proxy for “how fast” the threshold filled) Emit a new sample Once the bucket meets/exceeds the threshold, a new synthetic bar is finalized and stored. If overflow occurs (e.g., a single native bar pushes you past the threshold by a lot), the code will emit multiple synthetic samples to account for the extra activity. Maintain a rolling history efficiently A ring buffer can overwrite the oldest samples when you hit your Max Stored Samples cap, keeping memory usage stable. Compute synthetic-space statistics The script computes an SMA over the last N synthetic closes and basic descriptors like average bars per synthetic sample, mean and standard deviation of synthetic returns, and more. These are all in event time , not clock time. Inputs and options you will actually use Data Settings Sampling Method : Volume or Dollar Bars. Rolling Lookback : window used to estimate the dynamic threshold from recent activity. Filter : Mean or Median for the dynamic threshold. Median is more robust to spikes. Use Fixed? / Fixed Threshold : override dynamic sizing with a constant target. Max Stored Samples : cap on synthetic history to keep performance snappy. Use Ring Buffer : turn on to recycle storage when at capacity. Indicator Settings SMA over last N samples : moving average in synthetic space . Because its index is sample count, not minutes, it adapts naturally: more updates in busy regimes, fewer in quiet regimes. Visuals Show Synthetic Bars : plot the synthetic OHLC candles. Candle Color Mode : Green/Red: directional close vs open Volume Intensity: opacity scales with synthetic size Neutral: single color Adaptive: graded by how large the bucket was relative to threshold Mark new samples : drop a small marker whenever a new synthetic bar prints. Comparison & Research Show Time Bars : overlay the native time-based candles to visually compare how the two sampling schemes differ. How to read it, step by step Turn on “Synthetic Bars” and optionally overlay “Time Bars.” You will see that during high-activity bursts, synthetic bars print much faster than time bars. Watch the synthetic SMA . Crosses in synthetic space can be more meaningful because each update represents a roughly comparable amount of traded information. Use the “Avg Bars per Sample” in the info table as a regime signal. Falling average bars per sample means activity is clustering, often coincident with higher realized volatility. Try Dollar Bars when price varies a lot but share count does not; they normalize by dollar risk taken in each sample. Volume Bars are ideal when share count is a better proxy for information flow in your instrument. Quant finance background and citations Event time vs. clock time : Easley, López de Prado, and O’Hara advocate measuring intraday phenomena on a volume clock to better align sampling with information arrival. This framing helps explain volatility bursts and liquidity droughts and motivates volume-based bars. Flow toxicity and dealer risk : The same authors show how adverse selection risk changes with the intensity and informativeness of order flow, further supporting activity-based clocks for modeling and risk management. AFML framework : In Advances in Financial Machine Learning , event-driven bars such as volume, dollar, and imbalance bars are presented as superior sampling units for many ML tasks, yielding more stationary features and fewer microstructure distortions than fixed time bars. ( Alpaca ) Practical use cases 1) Regime-aware moving averages The synthetic SMA in event time is not fooled by quiet periods: if nothing of consequence trades, it barely updates. This can make trend filters less sensitive to calendar drift and more sensitive to true participation. 2) Breakout logic on “equal-information” samples The script exposes simple alerts such as breakout above/below the synthetic SMA . Because each bar approximates a constant amount of activity, breakouts are conditioned on comparable informational mass, not arbitrary time buckets. 3) Volatility-adaptive backtests If you use synthetic bars as your base data stream, most signal rules become self-paced : entry and exit opportunities accelerate in fast markets and slow down in quiet regimes, which often improves the realism of slippage and fill modeling in research pipelines (pair this indicator with strategy code downstream). 4) Regime diagnostics Avg Bars per Sample trending down: activity is dense; expect larger realized ranges. Return StdDev (synthetic) rising: noise or trend acceleration in event time; re-tune risk. Interpreting the info panel Method : your sampling choice and current threshold. Total Samples : how many synthetic bars have been formed. Current Vol/Dollar : how much of the next bucket is already filled. Bars in Bucket : native bars consumed so far in the current bucket. Avg Bars/Sample : lower means higher trading intensity. Avg Return / Return StdDev : return stats computed over synthetic closes . Research directions you can build from here Imbalance and run bars Extend beyond pure volume or dollar thresholds to imbalance bars that trigger on directional order flow imbalance (e.g., buy volume minus sell volume), as discussed in the AFML ecosystem. These often further homogenize distributional properties used in ML. alpaca.markets Volume-time indicators Re-compute classical indicators (RSI, MACD, Bollinger) on the synthetic stream. The premise is that signals are updated by traded information , not seconds, which may stabilize indicator behavior in heteroskedastic regimes. Liquidity and toxicity overlays Combine synthetic bars with proxies of flow toxicity to anticipate spread widening or volatility clustering. For instance, tag synthetic bars that surpass multiples of the threshold and test whether subsequent realized volatility is elevated. Dollar-risk parity sampling for portfolios Use dollar bars to align samples across assets by notional risk, enabling cleaner cross-asset features and comparability in multi-asset models (e.g., correlation studies, regime clustering). AFML discusses the benefits of event-driven sampling for cross-sectional ML feature engineering. Microstructure feature set Compute duration in native bars per synthetic sample , range per sample , and volume multiple of threshold as inputs to state classifiers or regime HMMs . These features are inherently activity-aware and often predictive of short-horizon volatility and trend persistence per the event-time literature. ( Alpaca ) Tips for clean usage Start with dynamic thresholds using Median over a sensible lookback to avoid outlier distortion, then move to Fixed thresholds when you know your instrument’s typical activity scale. Compare time bars vs synthetic bars side by side to develop intuition for how your market “breathes” in activity time. Keep Max Stored Samples reasonable for performance; the ring buffer avoids memory creep while preserving a rolling window of research-grade data.
Pine Script® indicator
by BackQuant
Portfolio Simulator & BacktesterMulti-asset portfolio simulator with different metrics and ratios, DCA modeling, and rebalancing strategies. Core Features Portfolio Construction Up to 5 assets with customizable weights (must total 100%) Support for any tradable symbol: stocks, ETFs, crypto, indices, commodities Real-time validation of allocations Dollar Cost Averaging Monthly or Quarterly contributions Applies to both portfolio and benchmark for fair comparison Model real-world investing behavior Rebalancing Four strategies: None, Monthly, Quarterly, Yearly Automatic rebalancing to target weights Transaction cost modeling (customizable fee %) Key Metrics Table CAGR: Annualized compound return (S&P 500 avg: ~10%) Alpha: Excess return vs. benchmark (positive = outperformance) Sharpe Ratio: Return per unit of risk (>1.0 is good, >2.0 excellent) Sortino Ratio: Like Sharpe but only penalizes downside (better metric) Calmar Ratio: CAGR / Max Drawdown (>1.0 good, >2.0 excellent) Max Drawdown: Largest peak-to-trough decline Win Rate: % of positive days (doesn't indicate profitability) Visualization Dual-chart comparison - Portfolio vs. Benchmark Dollar or percentage view toggle Customizable colors and line width Two tables: Statistics + Asset Allocation Adjustable table position and text size 🚀 Quick Start Guide Enter 1-5 ticker symbols (e.g., SPY, QQQ, TLT, GLD, BTCUSD) Make sure percentage weights total 100% Choose date range (ensure chart shows full period - zoom out!) Configure DCA and rebalancing (optional) Select benchmark (default: SPX) Analyze results in statistics table 💡 Pro Tips Chart data matters: Load SPY or your longest-history asset as main chart If you select an asset that was not available for the selected period, the chart will not show up! E.g. BTCUSD data: Only available from ~2017 onwards. Transaction fees: 0.1% default (adjust to match your broker) ⚠️ Important Notes Requires visible chart data (zoom out to show full date range) Limited by each asset's historical data availability Transaction fees and costs are modeled, but taxes/slippage are not Past performance ≠ future results Use for research and education only, not financial advice Let me know if you have any suggestions to improve this simulator.
Pine Script® indicator
by HenriqueCentieiro
KAPITAS CBDR# PO3 Mean Reversion Standard Deviation Bands - Pro Edition ## 📊 Professional-Grade Mean Reversion System for MES Futures Transform your futures trading with this institutional-quality mean reversion system based on standard deviation analysis and PO3 (Power of Three) methodology. Tested on **7,264 bars** of real MES data with **proven profitability across all 5 strategies**. --- ## 🎯 What This Indicator Does This indicator plots **dynamic standard deviation bands** around a moving average, identifying extreme price levels where institutional accumulation/distribution occurs. Based on statistical probability and market structure theory, it helps you: ✅ **Identify high-probability entry zones** (±1, ±1.5, ±2, ±2.5 STD) ✅ **Target realistic profit zones** (first opposite STD band) ✅ **Time your entries** with session-based filters (London/US) ✅ **Manage risk** with built-in stop loss levels ✅ **Choose your strategy** from 5 backtested approaches --- ## 🏆 Backtested Performance (Per Contract on MES) ### Strategy #1: Aggressive (±1.5 → ∓0.5) 🥇 - **Total Profit:** $95,287 over 1,452 trades - **Win Rate:** 75% - **Profit Factor:** 8.00 - **Target:** 80 ticks ($100) | **Stop:** 30 ticks ($37.50) - **Best For:** Active traders, 3-5 setups/day ### Strategy #2: Mean Reversion (±1 → Mean) 🥈 - **Total Profit:** $90,000 over 2,322 trades - **Win Rate:** 85% (HIGHEST) - **Profit Factor:** 11.34 (BEST) - **Target:** 40 ticks ($50) | **Stop:** 20 ticks ($25) - **Best For:** Scalpers, 6-8 setups/day ### Strategy #3: Conservative (±2 → ∓1) 🥉 - **Total Profit:** $65,500 over 726 trades - **Win Rate:** 70% - **Profit Factor:** 7.04 - **Target:** 120 ticks ($150) | **Stop:** 40 ticks ($50) - **Best For:** Patient traders, 1-3 setups/day, HIGHEST $/trade *Full statistics for all 5 strategies included in documentation* --- ## 📈 Key Features ### Dynamic Standard Deviation Bands - **±0.5 STD** - Intraday mean reversion zones - **±1.0 STD** - Primary reversion zones (68% of price action) - **±1.5 STD** - Extended zones (optimal balance) - **±2.0 STD** - Extreme zones (95% of price action) - **±2.5 STD** - Ultra-extreme zones (rare events) - **Mean Line** - Dynamic equilibrium ### Temporal Session Filters - **London Session** (3:00-11:30 AM ET) - Orange background - **US Session** (9:30 AM-4:00 PM ET) - Blue background - **Optimal Entry Window** (10:30 AM-12:00 PM ET) - Green highlight - **Best Exit Window** (3:00-4:00 PM ET) - Red highlight ### Visual Trade Signals - 🟢 **Green zones** = Enter LONG (price at lower bands) - 🔴 **Red zones** = Enter SHORT (price at upper bands) - 🎯 **Target lines** = Exit zones (opposite bands) - ⛔ **Stop levels** = Risk management ### Smart Alerts - Alert when price touches entry bands - Alert on optimal time windows - Alert when targets hit - Customizable for each strategy --- ## 💡 How to Use ### Step 1: Choose Your Strategy Select from 5 backtested approaches based on your: - Risk tolerance (higher STD = larger stops) - Trading frequency (lower STD = more setups) - Time availability (different session focuses) - Personality (scalper vs swing trader) ### Step 2: Apply to Chart - **Timeframe:** 15-minute (tested and optimized) - **Symbol:** MES, ES, or other liquid futures - **Settings:** Adjust band colors, widths, alerts ### Step 3: Wait for Setup Price touches your chosen entry band during optimal windows: - **BEST:** 10:30 AM-12:00 PM ET (88% win rate!) - **GOOD:** 12:00-3:00 PM ET (75-82% win rate) - **AVOID:** Friday after 1 PM, FOMC Wed 2-4 PM ### Step 4: Execute Trade - Enter when price touches band - Set stop at indicated level - Target first opposite band - Exit at target or stop (no exceptions!) ### Step 5: Manage Risk - **For $50K funded account ($250 limit): Use 2 MES contracts** - Stop after 3 consecutive losses - Reduce size in low-probability windows - Track cumulative daily P&L --- ## 📅 Optimal Trading Windows ### By Time of Day - **10:30 AM-12:00 PM ET:** 88% win rate (BEST) ⭐⭐⭐ - **12:00-1:30 PM ET:** 82% win rate (scalping) - **1:30-3:00 PM ET:** 76% win rate (afternoon) - **3:00-4:00 PM ET:** Best EXIT window ### By Day of Week - **Wednesday:** 82% win rate (BEST DAY) ⭐⭐⭐ - **Tuesday:** 78% win rate (highest volume) - **Thursday:**
Pine Script® indicator
by L1f3MA
Foxbrady D/G CrossFoxbrady D/G Cross - Golden Cross & Death Cross Indicator** A clean and simple indicator that identifies Golden Cross and Death Cross events using the classic 50-day and 200-day simple moving averages. Features: - Blue line: 50-day SMA (fast moving average) - Red line: 200-day SMA (slow moving average) - Green "GC" label appears at the exact crossover point when a Golden Cross occurs (bullish signal) - Red "DC" label appears at the exact crossover point when a Death Cross occurs (bearish signal) - Built-in alert conditions for both events - Customizable MA periods to suit your trading style How to Use: The Golden Cross (50 MA crossing above 200 MA) is traditionally viewed as a bullish long-term signal, while the Death Cross (50 MA crossing below 200 MA) is considered a bearish indicator. This indicator makes it easy to spot these events historically and receive alerts when they occur in real-time. Perfect for swing traders and long-term investors looking to identify major trend changes.
Pine Script® indicator
by Foxbrady
ICT Macros - CorrigéThis indicator is designed to help traders apply the concepts of ICT (Inner Circle Trader) by providing a clear and accurate visualization of market macros directly on the chart. Instead of manually drawing levels or constantly switching between timeframes, the indicator automatically highlights the key reference points that form the backbone of ICT analysis. Key Features: Automatic Macro Visualization: identifies and displays market macros as defined in ICT concepts, making it easier to recognize institutional levels. Timeframe Flexibility: adapts to different chart periods, allowing traders to align intraday setups with higher timeframe structures. Clean and Efficient Display: focuses only on the most relevant information, avoiding clutter and making the chart more readable. Strategic Decision Support: provides essential context for ICT-based strategies, including identifying market direction, liquidity pools, and potential reversal zones. Why Use It? This indicator is built for traders who follow ICT methodology and want a reliable tool to instantly spot macro structure without wasting time on repetitive manual work. By combining precision with clarity, it enhances situational awareness and supports better decision-making in both intraday and swing trading.
Pine Script® indicator
by bestmentality2023