Şimdi başlat

Grafik Paternleri

200-Day SMA & EMA with StdDev Bands and Cross TrackingLocks everything to the daily chart, regardless of which timeframe you’re viewing. Plots two main moving averages: A 200‑period Simple Moving Average (SMA). A 200‑period Exponential Moving Average (EMA). Draws shaded “bands” around each average at ±0.5σ, ±1σ, ±1.5σ, ±2σ, ±2.5σ, and ±3σ, with progressively fainter lines as you move farther from the mean. Highlights a “stable zone” in the background when price has stayed within one standard deviation of the SMA for more than a user‑defined number of bars. Detects and marks “deviation crossovers” between the SMA and EMA bands at 2σ, 2.5σ, and 3σ levels: Draws a small circle at the crossover point. Extends a line forward 500 bars at that price. Automatically removes that line if price later touches it. Marks Golden and Death Crosses (when the 50‑day EMA crosses the 200‑day EMA): “GC” for Golden Cross, plotted in green. “DC” for Death Cross, plotted in red, with the same forward‑extending line logic.
Pine Script® göstergesi
milwaki5 tarafından
Squeeze Momentum nicolas 2025The Squeeze Momentum Indicator ) is a technical analysis tool designed to identify periods of market consolidation (squeeze) and potential momentum breakouts. It combines Bollinger Bands and Keltner Channels to detect "squeeze" conditions—when volatility is low and price is compressed within a narrow range. The indicator plots a histogram showing momentum direction and strength using a linear regression of price deviation. Histogram bars above zero suggest bullish momentum, while bars below zero indicate bearish momentum. The color of the bars changes based on whether momentum is increasing or decreasing. A black line signals the squeeze is on, a gray line means it's off, and a blue line shows a neutral state. This indicator helps traders anticipate explosive price moves following low-volatility phases.
Pine Script® göstergesi
nicolasbcn tarafından
Intraday session start indicatorThis simple tool helps intraday traders by drawing a vertical line at the start of each new daily session. It’s useful for identifying session boundaries and analyzing price action around the open. ✅ Customizable line color ✅ Clean and lightweight – no clutter 🚫 No buy/sell signals – purely a visual guide Great for scalpers and day traders who want to keep track of daily opens on lower timeframes.
Pine Script® göstergesi
jcruizsebastian tarafından
RePaNoCHa V5 1. Triple signal verification mechanism Volatility track breakthrough: Accurately capture the breakthrough opportunity through the Range Filter dynamic track (hband/lband), and effectively filter out false breakthroughs with EMA smoothing Momentum confirmation system: Use the improved RSI indicator (midline parameters are adjustable) to avoid the blunting problem of traditional RSI in extreme market conditions Volume verification module: Original trading volume coefficient factor (cryptoVolFilter), intelligently identify abnormal volume behavior of altcoins 2. Professional-level risk control system Compound stop loss strategy: integrating fixed stop loss (2%) and dynamic tracking stop loss (0.6%+1.2%), taking into account both risk control and profit margin Volatility adaptive mechanism: Range multiplier parameter (mult=1.6) adjusts track width in real time to match the high volatility characteristics of cryptocurrencies Forced liquidation protection: process_orders_on_close ensures that orders are executed at the closing price to avoid slippage risks
Pine Script® stratejisi
b01096831983 tarafından
W/M Pattern + MACD/RSI Confirm Strategy V5.0 By ThaungkmitlW/M Pattern + MACD/RSI Confirm Strategy V5.0 Overview: This strategy combines the power of W/M pattern detection, MACD crossovers, RSI confirmation, and Dynamic Market Filters like ATR and Volume to create a highly accurate trend reversal system. It is designed for traders who seek precision in entry and exit signals. Key Features: ✅ W/M Pattern Detection (Double Bottom / Double Top) ✅ MACD Zero-Line Cross Confirmation ✅ RSI Threshold Filtering ✅ Dynamic ATR and Volume Filtering (Customizable) ✅ Trailing Stop, Take Profit, and Stop Loss Management ✅ Real-Time Alerts for Buy/Sell Signals ✅ Customizable Confirmation Settings How It Works: Buy Signal: W Pattern detected (Double Bottom) MACD crosses above zero RSI is above the threshold High Volatility (ATR Filter, if enabled) High Volume (Volume Filter, if enabled) Sell Signal: M Pattern detected (Double Top) MACD crosses below zero RSI is below the threshold High Volatility (ATR Filter, if enabled) High Volume (Volume Filter, if enabled) Risk Management: Take Profit (TP) and Stop Loss (SL) based on points Trailing Stop to lock in profits Customizable Parameters: Pivot Settings: Left and Right Bars for Pattern Detection MACD Settings: Fast, Slow, and Signal Lengths RSI Settings: Length and Threshold ATR Settings: Length and Multiplier (Optional) Volume Settings: SMA Length and Multiplier (Optional) Alert Settings: Buy Only, Sell Only, or Both Recommendations: Use with high-liquidity assets (e.g., XAU/USD, BTC/USD) Test on multiple timeframes to find optimal settings Avoid using on non-standard charts like Heikin Ashi, Renko, or Point & Figure Disclaimer: Trading involves significant risk. Use this strategy at your own discretion and always practice proper risk management. 📚 คู่มือการใช้งาน (User Guide) 1. Basic Setup: Add the script to your TradingView chart Adjust Pivot, MACD, RSI, ATR, and Volume settings according to your trading style 2. Entry and Exit Logic: Buy: W Pattern + MACD Cross Up + RSI > Threshold + High Volatility + High Volume Sell: M Pattern + MACD Cross Down + RSI < Threshold + High Volatility + High Volume 3. Dynamic Filters: Enable or disable ATR and Volume filters based on market conditions Use ATR Multiplier to adjust the sensitivity of volatility confirmation Use Volume Multiplier to filter out weak volume signals 4. Risk Management: Set Take Profit and Stop Loss points to control risk Use Trailing Stop to lock in profits as the market moves in your favor 5. Alerts Setup: Choose Buy Only, Sell Only, or Both for alerts Use alerts to automate trading or monitor key market conditions
Pine Script® stratejisi
thaungkmitl tarafından
Market Direction Analyzer (Markers Only)📘 Market Direction Analyzer (Markers Only) – Strategy Description The Market Direction Analyzer is a precision trading strategy designed to identify strong bullish and bearish conditions using a confluence of momentum and trend indicators, with fully customizable risk management. 🧠 Core Signal Logic Bullish Entry: Fast EMA is above Slow EMA MACD line is above Signal line RSI is above the bullish threshold (default: 60) Bearish Entry: Fast EMA is below Slow EMA MACD line is below Signal line RSI is below the bearish threshold (default: 40) ⚙️ Risk Management Tools Take Profit (TP): Based on ATR with user-defined multiplier Stop Loss (SL): Optional fixed SL using ATR Trailing Stop Loss: Optional ATR-based trailing logic Multi-Timeframe ATR: Option to use ATR from higher timeframe for smoother volatility handling 📊 Visual Features Optional BUY/SELL labels on candles Optional circle markers to highlight entry points Real-time alerts on signal triggers for automated notifications 🛠️ Customization Enable or disable TP, SL, and Trailing SL independently Choose between chart timeframe ATR or a custom one (e.g., 15m, 1H) Visuals and alerts can be toggled via input settings
Pine Script® stratejisi
markbarker_1 tarafından
Tokyo Scalping **🗼 Tokyo Scalping: Market Regime Identifier for Asian Session** 🔍 This indicator helps you **identify three market regimes**—**Trending**, **Squeezing**, and **Ranging**—**during the Tokyo trading hours (9:00–15:00 JST)** by analyzing higher timeframe dynamics. #### 🔑 Features: * ✅ **Background colors** to indicate market states: * **Teal**: Trending (strong momentum) * **Yellow**: Squeeze (low volatility, potential breakout) * **Blue**: Ranging (no clear direction) * ✅ **Dynamic trend threshold** based on ATR slope * ✅ **ADX-based trend filtering** * ✅ **Bollinger Band width contraction detection** * ✅ **Clean label overlay** only when market condition changes (Trend / Squeeze / Range) * 🔧 Fully customizable timeframes and thresholds This tool is ideal for scalpers and intraday traders aiming to adapt quickly to the Tokyo market regime. --- ### **🗾 東京スキャルピング：東京時間向けの市場状態識別インジケーター** このインジケーターは、\*\*東京市場時間（午前9時〜午後3時）\*\*における市場の状態を3種類（**トレンド／スクイーズ／レンジ**）に分類し、**高時間足の分析**をもとに背景色とラベルで視覚的に表示します。 #### 🔑 主な特徴： * ✅ 背景色による市場状態の表示： * **ティール色**：トレンド状態（勢いあり） * **黄色**：スクイーズ（低ボラティリティでブレイクの兆候） * **青色**：レンジ（方向感がない状態） * ✅ ATRを活用した動的なトレンド判定 * ✅ ADXに基づくトレンド強度の検出 * ✅ ボリンジャーバンド幅の収縮を検知 * ✅ **状態が変化したときのみ**ラベルを表示（T / S / R） 視認性が高く、**スキャルピングや東京時間帯の戦略に特化**したトレーダーに最適です。
Pine Script® göstergesi
shinhasegawa tarafından
Granville's 8 Rules Visualizer 🧠 Granville’s 8 Rules Indicator I’ve created a Pine Script indicator that visually implements **Granville’s Eight Rules**, one of the foundational theories for price movement relative to a moving average (MA). This tool helps traders better time entries and exits based on momentum shifts and MA behavior. --- ### 📈 What is Granville’s Law? Joseph Granville’s theory suggests that **price and moving average (typically SMA)** interactions produce **8 recurring signals**: * **4 Buy signals** (B1–B4) * **4 Sell signals** (S1–S4) These rules help identify the beginning or continuation of bullish and bearish trends. --- ### 🔍 Indicator Logic This indicator uses a simple 20-period SMA (modifiable) and tracks price action in relation to it. Each signal is drawn as a triangle with a label (`B1` to `B4` or `S1` to `S4`), based on the following rules: #### ✅ Buy Signals: * **B1**: Price crosses above a rising MA (classic breakout) * **B2**: Price pulls back below a rising MA, then begins rising again * **B3**: Price bounces off a falling MA * **B4**: Price is above a rising MA but temporarily drops #### ❌ Sell Signals: * **S1**: Price crosses below a falling MA * **S2**: Price pulls back above a falling MA, then starts dropping again * **S3**: Price bounces down off a rising MA * **S4**: Price is below a falling MA but temporarily rises --- ### 🛠 How to Use It: 1. **Trend Confirmation**: Use the moving average slope (rising or falling) as your trend filter. 2. **Entry Timing**: Look for Buy signals (B1–B4) in uptrends and Sell signals (S1–S4) in downtrends. 3. **Avoid Noise**: Combine with volume or volatility filters (e.g. ATR or squeeze) to eliminate weak setups. 4. **Customize**: Adjust the MA type or length to fit your market (e.g. EMA for crypto, SMA for FX). --- ### 💡 Example Strategies: * Pair **B1 + rising volume** for early trend entries * Use **B2/B4** for retracement-based entries * Exit on **S3/S4** for profit taking or stop logic Happy trading!
Pine Script® göstergesi
shinhasegawa tarafından
Market Direction Analyzer (Enhanced)📘 How to Use: Market Direction Analyzer (Enhanced) This strategy helps traders identify strong market trends and trade entries based on a confluence of EMA crossovers, MACD momentum, RSI strength, and optional ADX trend filtering, multi-timeframe confirmation, and ATR-based exits. 🧠 Core Logic Bullish Signal: Triggered when: Fast EMA > Slow EMA MACD line > Signal line RSI > Bullish threshold (default: 60) Bearish Signal: Triggered when: Fast EMA < Slow EMA MACD line < Signal line RSI < Bearish threshold (default: 40) 🔧 Optional Features (Toggleable via Inputs) ✅ ADX Filter: Filters out signals in low-volatility or sideways markets (default ON). ✅ Multi-Timeframe EMA Filter: Confirms direction with higher timeframe trend (default ON). ✅ ATR-Based TP/SL: Automatically places take-profit and stop-loss based on current volatility (default ON). ✅ Trendlines: Plots simple trendlines on recent swing highs/lows. ✅ Direction Label: Displays “Bullish”, “Bearish”, or “Neutral” at the top of the chart. 🛠️ Customization Tips Adjust the EMA, MACD, and RSI values based on your trading style (scalping, swing, etc.). Use ADX threshold to increase or reduce sensitivity to trend strength. Change higher timeframe input (e.g., "60" = 1H, "240" = 4H, "D" = daily) for broader confirmation. Tweak ATR multipliers for more or less aggressive TP/SL targets. 🧪 Backtesting This script is strategy-enabled, so you can: Run it in TradingView’s strategy tester Analyze performance metrics like win rate and net profit Use the plotted markers and labels for visual confirmation
Pine Script® stratejisi
markbarker_1 tarafından
My-Indicator - Multi-interval Candle Viewer (1W, 1D, 12H)This script lets you display candles from a selected time frame (1W, 1D, 12H) without switching your chart’s current time frame. For example, you can analyze the structure of a 12-hour or 1-day candle even while viewing a 15-minute chart. The script builds candles with wicks (open, high, low, and close) based on lower time frame data. In trading, context is everything – and the most important context often lies in the longer time frame. It allows you to view candlesticks historically and in real time - a candlestick that has not yet closed. You can see how much time is left until the candle closes and you can find out at what stage of the candle formation the price is. It is also a very useful tool for analysing candlestick patterns (such as Hammer, Shooting Star, Hanging Man, Bullish or Bearish Engulfing, etc.). Why is it useful? Overlays higher time frame candles on your current chart, Identify key levels (e.g. high/low of a 12h, 1d, or 1w candle), Spot candlestick patterns like engulfing or inside bars from larger time frames, combine multi-time frame signals for more precise decision making, Improve market structure analysis without constantly flipping between charts, Best for day traders who want to have a better overview of the market situation. Example use case Let’s say you’re trading on a 15-minute chart and notice the price consolidating near a recent high. With this tool, you can simultaneously track how the current daily candle is forming — for instance, you might see it developing into a bullish engulfing pattern. Recognizing this early can provide useful context, helping you decide whether to hold your long position or manage risk. Some important tips - If the first candlestick is broken (displayed incorrectly) just refresh the chart or page, - To improve visibility, go to the right panel "Object tree and data window" and change the order of the layers, - The time of the open and close candlesticks is the same as the Tradingview server time.
Pine Script® göstergesi
my-indicator tarafından
OTC Seasonal Forecasting Tool 2.0The Seasonality Foracsting Tool, Bernd Skorupinski If you're following the Bernd Skorupinski strategy or learning through the Online Trading Campus, then mastering the Seasonality Forecasting Tool is essential. It's one of the four core indicators Bernd uses in his institutional trading approach — and when used correctly, it helps you time trades with incredible precision. In this post, I’ll show you exactly: ✅ What the seasonality tool does ✅ How it works ✅ And how I used it in a real crude oil backtest trade — alongside demand zones and structure — to capture a high-risk-reward move. 🌾 What Is the OTC Seasonality Forecasting Tool? The OTC Forecasting Tool, also known as the Seasonality Indicator, helps traders identify recurring market patterns that happen around the same time every year. Markets like crude oil, gold, corn, and wheat are driven by seasonal factors like: Supply/demand cycles Economic activity Weather conditions Institutional flow and positioning The Seasonality Tool analyzes how an asset performed historically during each part of the year — using data from the last 5, 10, or 15 years — and generates a smooth curve of average seasonal performance. What Makes It Powerful? This is not about guessing or repeating last year’s moves. This tool gives you: Statistical seasonality based on long-term data A clean forecast of when an asset tends to rise or fall A way to add time-based confluence to your trades And that’s exactly how Bernd Skorupinski teaches it — not as a trigger, but a filter for precision. 🧪 Real Example: Crude Oil Seasonality + Demand Zone = Winning Setup Let’s walk through a backtest trade I executed on Light Crude Oil Futures (CL1!) using the Seasonality Tool. 📉 Step 1: Price Approaches a Demand Zone As you can see in the chart, price dropped sharply into a clear institutional demand zone — an area of previous buying interest. This told me we might be getting close to a potential reversal. 📈 Step 2: Forecasting Tool Shows Bullish Seasonality Now, this is where the Seasonality Tool confirmed the setup. I applied the OTC Forecasting Tool with three different lookback periods: ✅ 5-year average (green line) 🟢 ✅ 10-year average (red line) 🔴 ✅ 15-year average (blue line) 🔵 All three curves were: Trending upward Aligning in the same seasonal time window Showing that crude oil tends to rally between late December and February This was powerful confirmation that institutions historically accumulate oil around this time of year. 📊 Step 3: Trade Execution and Result With both: ✅ Price at demand ✅ Seasonality aligned across multiple timeframes …I placed the trade with a target back to the most recent supply zone. 📈 Result: The price reversed exactly as expected, hitting the target with a Risk-to-Reward ratio of 1:5.8 This is a textbook example of what Bernd Skorupinski calls a “full confluence setup” — and why he emphasizes that seasonality is a timing tool, not a signal. How to Use the Seasonality Tool To use the Seasonality Forecasting Tool like a pro: 🔍 Wait for price to approach structure (demand/supply) 📅 Check if seasonal data supports a reversal ⚠️ Only trade if at least 2 of 3 curves (5, 10, 15 years) agree 🎯 Combine with the other Bernd indicators (Valuation Tool, COT, Smart Money Index) 🔧 Tools Used in This Strategy This trade setup was done using two of Bernd Skorupinski’s 4 signature trading indicators: 🧭 Seasonality Forecasting Tool (for timing) 💵 Valuation Tool (for relative price strength) But the full suite includes: Smart Money Index COT Net Position Valuation Tool Seasonality Forecasting Tool Bernd Skorupinski strategy, Online Trading Campus, seasonality forecasting tool, OTC indicators, crude oil trading setup, institutional trading strategy, Bernd Skorupinski trading system, how to use seasonality in trading
Pine Script® göstergesi
Nikhichuanhal655 tarafından
Suvorov Pro SFP+Indicator: Logic-based Swing Failure Pattern (SFP) What is the logic of my indicator based on and what makes it unique: 1. The indicator can calculate extreme candles that close with huge shadows and a small body and it works on any timeframe. 2. The indicator analyzes the volumes on which the desired bar was closed. This function is customizable. That is, you can build a search for signals according to your trading strategy, based on the number of volumes. What does this mean - you select the number of previous bars where the indicator calculates the average value and based on these numbers, you can set up: how many times the desired candle should be larger than the previous average volume. 3. Since SFP is based on the removal of important liquidity, the search for such situations occurs from swing structures (swing high/low). When these parameters are found on the chart (on history), the indicator draws the situation and shows where important liquidity was removed and why the trading situation appeared right now. 4. The indicator gives recommendations on possible takes and stops. The structure of takes has a built-in logic for searching for previous swings to remove liquidity, as well as searching for imbalances to cover them (50 and 100%). 5. For TP (Take Profit): there are 3 TPthat can be adjusted to your trading strategy (Risk/Profit). For example: you always trade from 2 to 1 on the 1st Take, 3 to 1 on the second, 5 to 1 on the third: you can set all this in the indicator and all your targets will be detected by the indicator, taking into account the logic of searching for important ranges. If, for example, in your 3 to 1 range there are no important zones for TP, then the indicator writes that NaN (not found). 6. The indicator works on any timeframe. 7. The indicator has a built-in RSI logic, which comes as an additional function to the indicator. If this function is enabled, then trading situations are detected only when there is a divergence (from the swing point to the extreme bar that has formed).
Pine Script® göstergesi
IlyaSuvorov-WorldofCrypto tarafından
1
OTC Valuation Indicator 2.0Bernd Skorupinski (inspired) Valuation Indicator| Online Trading Campus If you’re studying the Bernd Skorupinski strategy or diving deep into Online Trading Campus trading indicators, the Valuation Tool is one of the four cornerstone indicators used in Bernd's professional trading system — and arguably one of the most powerful. This post will show you how I personally used the OTC Valuation Tool (developed by Bernd Skorupinski) to catch a high-probability buy setup on Gold Futures (GC1!) by leveraging undervaluation in the Dollar Index (DXY) — and how you can do the same. What Is the OTC Valuation Tool? The OTC Valuation Tool 2.0 is one of Bernd Skorupinski’s 4 signature trading indicators taught at the Online Trading Campus: ✅ Smart Money Index ✅ COT Net Position ✅ Valuation Tool ✅ Seasonality Forecasting Tool The Valuation Tool compares the relative valuation between multiple assets to detect when a market is overvalued, undervalued, or in a neutral range — helping you time entries with extreme precision. 📊 How It Works (Gold Example) Here’s how I used the indicator in a Gold trade setup by analyzing Gold vs Dollar Index undervaluation — exactly the way Bernd Skorupinski teaches in his proprietary strategy. Gold Buy Setup (Undervaluation + Demand Zone) 🏆 I’ve backtested this setup and found incredible precision in catching major gold rallies when the following conditions align: 📌 Condition 1: Gold enters a key demand zone 📌 Condition 2: OTC Valuation Tool drops below the -75 level → This signals strong undervaluation In both October 2022 and October 2023, the valuation index dropped well below -75, and Gold was sitting at major demand zones. The result? 📈 Massive moves to the upside, with Risk-Reward ratios hitting 1:4 or more. This is a textbook Bernd Skorupinski strategy setup, combining macro fundamentals (valuation) with technical structure (demand zones). This is not just theory — the same conditions repeated multiple times, delivering repeatable, high-probability trades. 📌 Why It Works: The Macro Logic When the Dollar Index (DXY) is overvalued and Gold is undervalued, money typically rotates out of the dollar and into commodities like gold. The Valuation Tool visualizes this relationship with a normalized indicator — so you’re not guessing. You’re seeing when macro mispricing occurs in real time. 🔔 Tips for Using the Valuation Tool Effectively ✅ Use it on the weekly timeframe (as Bernd teaches) ✅ Combine it with support/resistance zones or demand areas ✅ Wait for a confirmed bounce after undervaluation ✅ Use the other 3 OTC indicators (Smart Money, COT, Seasonality) for full confluence Bernd Skorupinski strategy, Online Trading Campus, seasonality forecasting tool, OTC indicators, crude oil trading setup, institutional trading strategy, Bernd Skorupinski trading system, how to use seasonality in trading
Pine Script® göstergesi
Nikhichuanhal655 tarafından
OTC smart money / COT Index 2.0Bernd Skorupinski’s Smart money index / COT index How I Use Bernd Skorupinski’s OTC Tools to Spot High-Probability Trades – Example on Gold When it comes to trading commodities like Gold and Crude Oil, I follow a process rooted in institutional data — specifically, the Commitments of Traders (COT) report. Through the Online Trading Campus tools developed by Bernd Skorupinski, I combine insights from the Valuation Tool, Seasonality Forecasting Tool, and COT Analysis for a refined edge. 📈 Step 1: Technical Demand Zone The first thing I do is analyze price action. In this Gold trade, I spotted price approaching a key demand level — a zone where price has historically reacted due to large institutional buying. 🟢 Chart Insight: Price was reaching a long-term demand zone dating back several years. 🧠 Step 2: COT Index – Institutional Extreme Next, I bring up the COT Index, specifically using the CAMPUS COT Index indicator. What I saw here was powerful: The commercials (smart money) were at a 312-week buying extreme — meaning they haven’t been buying this aggressively in over 6 years. This is a major institutional footprint. Historically, when commercials are at or above 100%, price often follows shortly after with strong moves. 📊 Step 3: COT Net Positions To strengthen my case, I checked the COT Net Positions. Here's where it got interesting: Commercials hadn’t held this many net-long positions since 15 years ago. 📉 That’s rare. When something like this aligns with price at a demand level — it’s a green light. 🔁 Step 4: COT Index Divergence For final confirmation, I look for divergence between commercials and retailers. ✅ In this case, commercials were buying heavily ❌ Retail traders were shorting heavily This opposite behavior (smart money vs. dumb money) is my cue to prepare a trade. 🎯 Step 5: Entry, Target & Risk Once all conditions align: ✅ Demand level confirmed ✅ 312-week commercial extreme ✅ 15-year net position high ✅ Retailers on the other side …I set up the trade. 📌 Stop-loss: Just below demand 🎯 Target: Previous major high 📈 RRR (Risk/Reward): 1:14.8 That means for every 1% risked, I stood to gain nearly 15%. And yes — this trade hit full target. 📢 Why This Matters This is not about guessing. It’s about: Following institutional footprints Using retail sentiment as confirmation Aligning multiple data points (price, time, net positions) Bernd Skorupinski’s tools make this process repeatable. Bernd Skorupinski strategy Online Trading Campus indicators COT Index Trading Smart money index Trading Gold using COT Institutional order flow strategy
Pine Script® göstergesi
Nikhichuanhal655 tarafından
OTC - COT Net positions 2.0 COT Net Position Indicator – Institutional Commitment & Position Sizing (Inspired by Bernd Skorupinski Methodology) 📈 Description: This indicator focuses on visualizing net positions held by commercials (smart money) and other key market participants, using data from the Commitments of Traders (COT) report. Inspired by Bernd Skorupinski’s institutional approach, the tool works hand-in-hand with the COT Index to provide a full picture of institutional sentiment and positioning strength. 👉 Core Functionality: Displays net-long and net-short positions over time, helping traders understand how heavily institutions are positioned in a market. Highlights historical extremes in net positions, which can act as warning signs or entry points when combined with technical analysis. Supports customizable timeframes and asset selection (commodities, forex, indices) for maximum flexibility. Best used in combination with the COT Index, offering a layered view of both relative extremes (COT Index) and absolute exposure (Net Positions). The tool is designed to act as a contextual filter—it should complement technical setups rather than provide standalone trade signals. 📊 Applied Example – Gold Trade Using COT Net Position Analysis To show the practical application, here’s a breakdown of a Gold (GC1!) trade that leveraged both COT Index and COT Net Positions to identify a high-probability setup. Step 1️⃣ – Identifying Technical Structure: The analysis started with classic price action review: Gold was approaching a significant demand zone, a well-established area that has historically triggered institutional buying. Step 2️⃣ – COT Index Confirmation: Upon reviewing the COT Index, the data revealed a 312-week buying extreme—the most aggressive commercial buying seen in over six years, signaling strong institutional accumulation. Step 3️⃣ – COT Net Positions Validation: Next, the COT Net Position Indicator showed that commercials were holding their largest net-long position in over 15 years—a rare and powerful signal of institutional conviction. Step 4️⃣ – Divergence Check: For added confirmation, divergence between commercials and retail traders was assessed: ✅ Commercials: Strongly net-long. ❌ Retail traders: Heavily net-short. This clear divergence between smart money and retail sentiment further validated the setup. Step 5️⃣ – Trade Execution: With everything aligned: Demand zone identified, 312-week COT Index extreme, 15-year high in net positions, Divergence between commercials and retail, …the trade was entered with a stop-loss placed just below the demand zone and a target set at a significant prior high. The result: a risk-reward ratio of 1:14.8, reflecting the strength and precision of the setup. ⚙️ What Sets This Tool Apart: Provides deep insight into institutional exposure, showing both the magnitude of positions and how they evolve over time. Enhances decision-making by cross-validating positioning extremes with technical levels. Flexible design allows use across multiple asset classes and timeframes. 📌 Best Practices: Always pair COT Net Position data with the COT Index to gauge both relative and absolute strength. Use in conjunction with demand/supply zones or key technical levels for the strongest setups. Look for divergence signals (institutions vs. retail) to confirm potential reversals. Indicators Used in the Example: This trade combined: 🧠 COT Net Position Indicator – to measure institutional exposure. 📊 COT Index – to identify positioning extremes. 📅 Seasonality Forecasting Tool – for time-based confirmation. Together, these indicators provided a robust, multi-layered framework for high-confidence trading decisions.
Pine Script® göstergesi
Nikhichuanhal655 tarafından