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Yome Kill Zones ProPerfect for US30 Entry ## Yome Kill Zones Pro **Yome Kill Zones Pro** is a precision trading tool designed for day traders and scalpers who focus on session-based setups, liquidity sweeps, and directional bias during the London–New York overlap. --- ### **Key Features** - **Customizable Kill Zone Box** - Marks session high/low from any user-defined time window (default: 6:00–11:30 UTC). - **Swing Point Sweep Detection** - Identifies significant highs/lows swept by price with momentum—ideal for supply/demand or S/R zones. - **Independent Bias Kill Zone** - Separate bias calculation window with adjustable start/end time to isolate market sentiment. - **Bias Table (Always-On Display)** - **Killzone Bias** – Shows direction based on price change during bias time. - **Long-Term Bias** – Compares price vs. Open and EMA(50) from any selected timeframe (default: 15m). - **Full Visual Customization** - Editable sweep labels, line colors, line style, label visibility, and kill zone extensions. --- ### **How to Use** 1. **Set Your Session Times** - Use the “Killzone Settings” to define high/low tracking time. - Use “Bias Killzone Settings” to define when to calculate bias direction. 2. **Check the Bias Table** - Use **Killzone Bias** for short-term session direction. - Use **Long-Term Bias** to align with higher timeframe market structure. 3. **Watch for Liquidity Sweeps** - Look for momentum-based breaks of swing highs/lows within your kill zone window. - Use these levels to anticipate reversals, retests, or continuations. 4. **Customize It Your Way** - Everything from line styles, sweep label visibility, thickness, and colors can be customized. --- ### **Best For** - London & New York session scalpers - Liquidity & structure-based traders - Traders using ICT, Smart Money Concepts, or Wyckoff-style analysis --- > **Tip:** Pair with volume or order block tools for enhanced sniper entries.
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kenpedro018 tarafından
Imaneshun V2The "Imaneshun V2" golden strategy in forex, inspired by ImanTrading, is an evolved categorical trading approach centered on price action classification. It segments market behavior into consolidation and directional phases, adaptable across all timeframes. Imaneshun V2 emphasizes disciplined entries based on current candle structure and price action. It avoids fixed risk-reward ratios, prioritizing personal win rate development. Trade journaling remains essential for strategy refinement. Traders assess recent candle patterns to set stop-loss and target levels strategically. Imaneshun V2 discourages entries without clear price action confirmation, using visual cues to distinguish optimal setups. Developed through iterative experimentation, it remains free of external biases. The strategy maintains simplicity but requires deep understanding via comprehensive video guides. Early avoidance of rigid rules ensures flexibility in application. Scalping is a key application, though it supports diverse trading styles. Robust risk management focuses on avoiding unaffordable losses. Imaneshun V2 acknowledges trading’s inherent challenges, demanding persistence. It rejects guaranteed-profit claims, promoting realistic expectations. Enhanced market structure analysis improves trade decision-making. Extensive backtesting is critical to validate setups. Imaneshun V2 avoids exaggerated promises, focusing on practical execution. Continuous learning and adaptation are vital for mastery. It’s tailored for disciplined traders dedicated to sustained growth.
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playoff-yoyo-stick tarafından
imaneshunThe "Imaneshun" golden strategy in forex, inspired by ImanTrading, is a categorical trading approach focusing on price action classification. It divides market behavior into consolidation and directional phases, adaptable across all timeframes. The strategy emphasizes disciplined trade entry based on current candle structure and price action. It avoids reliance on fixed risk-reward ratios, stressing the importance of personal win rate. Journaling and recording trades are critical for refining the approach. Imaneshun requires traders to assess recent candle patterns to set stop-loss and target levels. It discourages trading without clear price action confirmation, using visual reminders of good versus bad setups. The strategy was developed through experimentation, free from external influences. It prioritizes simplicity but demands thorough understanding via detailed video guides. Traders must avoid rigid rules early on to maintain flexibility. Scalping is one application, though it’s versatile for other styles. Risk management is central, with a focus on not risking unaffordable losses. The strategy underscores the difficulty of trading, requiring persistence. It’s not a guaranteed path to profit, emphasizing realistic expectations. Imaneshun integrates market structure analysis for better trade decisions. Traders are encouraged to backtest extensively to validate setups. The approach avoids overhyped claims, focusing on practical execution. Continuous learning and adaptation are key to mastering Imaneshun. It’s designed for disciplined traders committed to long-term growth. (www.imantrading.org)
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playoff-yoyo-stick tarafından
1
Momentum Pull Back Stratergy"Master Pull Back Strategy" is a highly detailed momentum and volume-based trading system designed for Trading View. It visually annotates the chart, detects buy/sell signals, tracks market phases, and evaluates retracements and confirmations. Below is a full breakdown of its logic and components: 🔷 1. Volume Profile Highlights (Arrow Emojis) Purpose: Show volume strength vs. average using color-coded arrows. Calculates average volume over a user-defined period (length = 10). Divides current volume by average volume to get volRatio. Based on volRatio, plots small arrows (acting like diamonds) in various colors: Low volume (black, navy, blue...) to high volume (yellow, red, purple). Visual Purpose: Give a quick sense of how "loud" or "quiet" a candle's volume is. 📈 2. Highs of Day Tracking Purpose: Track the high price reached during different trading sessions. Defines pre-market, regular, and post-market sessions. Tracks the highest price (high) in each session. Plots colored lines: Orange: Pre-market high Red: Regular market high Blue: Post-market high 🟩 3. Green Candle Pattern Detection Purpose: Detect bullish patterns formed by consecutive green candles. Key Conditions: Count green candles (greenCount) until a red candle appears or 10 candles max. Require at least 1 silver-or-above volume candle (volRatio >= 1.0). Must have ≥3% price gain during the green sequence. Must accumulate >20,000 volume during the green run. If Valid: Locks the pattern. Records important values: patternStartPrice, patternEndPrice, totalPatternVolume, patternHigh, patternBars Marks the bar after which red starts (redStartBar) ⬇️ 4. Retracement Monitoring Purpose: Track retracement from the pattern high after it locks. Defines retracement percentage: (greenPatternHigh - low) / (greenPatternHigh - greenPatternLow) If retracement exceeds 80%, it invalidates the pattern. Buy signal is disabled if pattern retraces too far. ✅ 5. Buy Signal Logic Purpose: Fire a buy signal after pattern lock if price breaks above local high. Conditions: Pattern is locked (patternLocked). Price breaks above a short-term high (triggerBreak). It's not the first red candle. Price is within 8.5% above EMA9. Buy signal fires and: Sets buyActive = true Tracks highest price after buy Stores buyPrice = close ❌ 6. Sell Signal Logic Purpose: Exit signal after retracement from post-buy high. While buy is active: If price retraces ≥3% from the post-buy high → sellSignal = true Resets buyActive, trackedHigh, and buyPrice Plots a red "SELL" label above the bar. 🎨 7. Buy Signal Visual Color Coding Purpose: Color buy signal based on how deep the retracement is. Uses retracement percentage: ≥65% → Red (high risk) 45–65% + MACD bullish → Yellow (moderate) <45% + MACD bullish → Green (ideal) Plots BUY label below bar in the respective color. 🔻 8. Retracement Triangle Visuals Purpose: Shows retracement progression while pattern is locked. If pattern is locked and not ready for buy: Plots triangle below bar in the buyColor for visual tracking. ⭐ 9. Star Markers Above Lock Candle Purpose: Confirmations when pattern locks. First Star: Plotted above the first red candle after green pattern lock. Second Star (⭐⭐): Additional confirmations: Volume OK (less than previous) MACD bullish Price > VWAP VolAtLock > 100K Price up >6% from first green candle Price below 75% of daily EMA200 or above EMA200 Third Star (⭐⭐⭐): Even stricter confirmations: Volume < 60% of previous High <= previous high VolAtLock > 500K Price > $3 Gain >9% from first green Price < 50% of daily EMA200 or above EMA200 📊 10. Bar Coloring Purpose: Visually highlight bars based on pattern phase and MACD. Gray: MACD Bearish Light Green: Part of active green pattern Blue: In locked phase but no buy triggered 🔄 11. Reset Logic Purpose: Clears all tracking variables once a buy signal fires or pattern is invalidated. Also resets if: Retracement is too deep 10 candles pass post-lock without a trigger ⛰️ 12. Double Top Detection Purpose: Basic visual marker when current high == previous high. Plots a gray triangle if current and previous bar highs match. 📌 Summary: What This Strategy Shows Buy Opportunities: Based on high-volume green runs and confirmed breakouts. Sell Triggers: Once a retracement from peak exceeds 3%. Visuals for Confirmation: Diamonds for volume Stars for lock confidence Colors for retracement strength Risk Management: Retracement filtering Time limits on locked phases Volume filters Market Context: Tracks pre/regular/post market highs and daily EMA 200.
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samcrosby63 tarafından
PoiBox# PoiBox: Advanced Market Structure and POI Visualization Tool PoiBox is a comprehensive market structure analysis tool designed to identify high-probability trading zones through advanced internal market structure (IDM) detection and points of interest (POI) calculation. ## How It Works The indicator uses a multi-step approach to analyze price action: 1. **Market Structure Identification**: The script identifies significant highs and lows within your selected time range to determine the overall market structure direction (up or down). 2. **IDM Pattern Detection**: It then analyzes internal market structure patterns within this range, focusing on significant price movements that create trading opportunities. 3. **POI Calculation**: Using adaptive ATR measurements across multiple timeframes, the indicator calculates precise POI zones where price is likely to react. These zones are calibrated based on the volatility profile of each identified structure. 4. **Timeframe Correlation**: The script automatically determines which timeframe best matches each structure's size, providing valuable context for your trading decisions. 5. **Technical Implementation**: The indicator uses a sophisticated algorithm to analyze price swings, identify pivot points, and calculate market structure connections. It maintains a database of significant highs/lows and uses these to determine trend direction and potential reversal zones. ## Display Modes PoiBox offers three powerful display options: - **Main BOS**: Shows only the most significant breakout structure with its associated POI zone - **Leg**: Displays the largest price leg within the selected range along with percentage-based POI zones - **All IDMs**: Reveals all detected internal market structures and their POI zones ## Advanced Features - **QM Mode**: Visualizes important market structure relationships with dashed lines connecting significant highs and lows - **Trick Display**: Identifies nested market structures (tricks) within larger patterns, perfect for precision entries - **Customizable POI Labels**: Control which price labels appear to maintain chart clarity - **Extensive Color Settings**: Fully customizable colors for all visual elements - **Safety Functions**: Includes built-in buffer management and error prevention algorithms to ensure stable performance across all timeframes and market conditions ## Trading Examples **Downtrend Example:** When PoiBox identifies a downtrend structure (Higher High → High → Low → Lower Low), it creates POI zones based on the market structure. As shown in the chart, these zones provide excellent entry opportunities when price returns to test previous structure. In this example, entering at the red POI zone with a stop above the zone and target at the QM level resulted in a 3.45 risk/reward trade. **How to Read QM Lines:** The dashed lines connecting High → Low → Higher High → Lower Low reveal the market's true structure. These connections help you anticipate where price might head next. When price breaks below a significant Low and creates a Lower Low, it confirms the downtrend continuation and provides a trading opportunity when price retests the broken structure. **POI Zone Interpretation:** - Red zones indicate bearish POI areas (ideal for short entries) - Green zones indicate bullish POI areas (ideal for long entries) - Yellow zones highlight the identified market structure ## Practical Application Example In the GBP/USD example shown in the chart: 1. PoiBox identified a downtrend structure with Higher High → High → Low → Lower Low 2. The yellow box shows the main market structure area 3. The red POI zone appeared when price returned to test previous structure 4. Entry was taken at the POI zone with stop loss above structure 5. Target was placed at the QM level, resulting in a 3.45 risk/reward ratio trade 6. The dashed QM lines showed the overall market flow and direction This demonstrates how PoiBox automatically identifies optimal entry and exit points based on market structure, without requiring manual analysis of each price swing. ## Mathematical Approach PoiBox uses several mathematical concepts to determine market structure and calculate POI zones: 1. **Adaptive ATR Integration**: The script analyzes ATR (Average True Range) across multiple timeframes (M1, M5, M15, H1, H4, D1, W1, MN1) to determine the appropriate volatility context for each structure. 2. **Height-to-ATR Ratio**: The indicator calculates the ratio between structure height and the closest matching ATR value to determine the structure's timeframe context. 3. **Dynamic POI Calculation**: POI values are calculated using the formula: `POI = factor * (atr_trigger + atr_double_trigger)` where `factor` is derived from the structure's height-to-ATR ratio. 4. **Self-Adjusting Limits**: If the calculated POI value exceeds certain thresholds relative to structure height, the script automatically applies proportional adjustments to maintain optimal zone sizing. ## What Makes PoiBox Unique While many indicators use common concepts like support/resistance or trend analysis, PoiBox stands apart through its: 1. **Adaptive POI Calculation**: Unlike static indicators, PoiBox automatically calibrates POI zones based on each market structure's volatility profile by analyzing ATR across multiple timeframes. 2. **Smart Timeframe Detection**: The indicator automatically determines the most relevant timeframe for each structure, eliminating guesswork and helping you align your trading with the appropriate market cycles. 3. **QM Visualization System**: Our proprietary QM visualization method reveals hidden market structure relationships that standard indicators cannot detect, giving you an edge in anticipating price movements. 4. **Nested Pattern Recognition**: The "Trick" detection feature identifies high-probability setups where smaller patterns form within larger ones, creating precise entry opportunities missed by conventional tools. 5. **Self-Adjusting Analysis**: PoiBox dynamically adapts to changing market conditions without requiring manual parameter adjustments, saving you time and increasing accuracy. These innovations combine to create a truly original trading system that transforms complex market structure concepts into clear, actionable signals. ## How To Use 1. Define your analysis area using the time range selectors (X1 and X2) 2. Choose your preferred display mode based on your trading style 3. Enable QM Mode for additional market structure context if needed 4. Use the POI zones as potential entry and exit areas for your trades 5. Reference the automatically detected timeframe indicators to align your trading with the appropriate timeframe ### Settings Explanation **Display Settings:** - Display Mode: Choose between Main BOS, Leg, or All IDMs visualization - QM Mode: Enable to see market structure connections with dashed lines **Trick Settings:** - Trick Display: Show the main trick or all nested patterns - Trick POI: Control which POI zones appear for trick patterns **Label Settings:** - Leg POI %: Customize percentage-based POI zones in Leg mode - POI Labels: Control which price labels appear on your chart **Time Range:** - X1 and X2: Define the analysis area for market structure detection **Colors:** - TF Color: Color for timeframe labels - H/L Color: Color for high/low labels - QM Lines: Color for market structure connection lines - Trick Color: Color for nested pattern visualization This indicator is designed for traders who understand market structure concepts and want a powerful tool that automatically identifies high-probability trading zones based on structural price patterns and volatility-adjusted measurements.
Pine Script® göstergesi
Atabaki tarafından
FVG [TakingProphets]🧠 Purpose This indicator is built for traders applying Inner Circle Trader (ICT) methodology. It detects and manages Fair Value Gaps (FVGs) — price imbalances that often act as future reaction zones. It also highlights New Day Opening Gaps (NDOGs) and New Week Opening Gaps (NWOGs) that frequently play a role in early-session price behavior. 📚 What is a Fair Value Gap? A Fair Value Gap forms when price moves rapidly, skipping over a portion of the chart between three candles — typically between the high of the first candle and the low of the third. These zones are considered inefficient, meaning institutions may return to them later to: -Rebalance unfilled orders -Enter or scale into positions -Engineer liquidity with minimal slippage In ICT methodology, FVGs are seen as both entry zones and targets, depending on market structure and context. ⚙️ How It Works -This script automatically identifies and manages valid FVGs using the following logic: -Bullish FVGs: When the low of the current candle is above the high from two candles ago -Bearish FVGs: When the high of the current candle is below the body of two candles ago -Minimum Gap Filter: Gaps must be larger than 0.05% of price -Combine Consecutive Gaps (optional): Merges adjacent gaps of the same type -Consequent Encroachment Line (optional): Plots the midpoint of each gap -NDOG/NWOG Tracking: Labels gaps created during the 5–6 PM session transition -Automatic Invalidation: Gaps are removed once price closes beyond their boundary 🎯 Practical Use -Use unmitigated FVGs as potential entry points or targets -Monitor NDOG and NWOG for context around daily or weekly opens -Apply the midpoint (encroachment) line for precise execution decisions -Let the script handle cleanup — only active, relevant zones remain visible 🎨 Customization -Control colors for bullish, bearish, and opening gaps -Toggle FVG borders and midpoint lines -Enable or disable combining of consecutive gaps -Fully automated zone management, no manual intervention required ✅ Summary This tool offers a clear, rules-based approach to identifying price inefficiencies rooted in ICT methodology. Whether used for intraday or swing trading, it helps traders stay focused on valid, active Fair Value Gaps while filtering out noise and maintaining chart clarity.
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TakingProphets tarafından
3
Pivot Strategy By RootkitTrade Entry Logic 📌 Pivot-Based Levels: Calculates dynamic pivot high/low levels using length input (default: 24 bars). Builds a trailing max/min range: max: highest high since last pivot. min: lowest low since last pivot. avg: midpoint between max and min. 📈 Entry Signals: Bullish Entry: Price crosses above average, and optionally: Closes above max + buffer (if strict entry enabled). Bearish Entry: Price crosses below average, and optionally: Closes below min – buffer. 🔄 Option: Use cross vs. crossover/crossunder logic (useBidirectionalCross). ⚙️ Filters & Enhancements Volatility Filter: Prevents trades during low range/chop. Entry is allowed only if average pivot range > volatilityThreshold. 🎯 Exit Logic 🛑 With ATR TP/SL (if enabled): Stop Loss = ATR × atrMultSL Trailing Stop: Points = ATR × trailPointsMult Offset = ATR × trailOffsetMult 🔁 Optional: Closes long if bearish signal appears, and vice versa. 📊 Visual Aids Plots: Max line (teal) Min line (red) Average line (orange) Optional shape markers for buy/sell signals. ✅ Use Case This strategy is ideal for: Range-based breakout traders. Traders looking for pivot + volatility confirmation. Environments where price tends to trend after consolidation (e.g., futures, indices, crypto on 5m–1h).
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Rootkit98 tarafından
ORB Strategy - By Rootkit69What the Script Does (Summary): 🚀 Trade Entry Logic: ORB Range Source: Retrieves the highest and lowest price over the first 15-minute bar of the session (orbHigh15, orbLow15). Also calculates the midpoint (orbMid), used for visual reference. Entry Triggers: Long Entry: Heikin Ashi closes above the ORB high after being below it (retest). Candle is bullish engulfing. Candle’s range is tight (less than 50% of ORB range). Short Entry: Heikin Ashi closes below the ORB low after being above it (retest). Candle is bearish engulfing. Candle’s range is tight. 🎯 Exit Logic: Exits the position after two opposite-direction Heikin Ashi candles appear: Exit long after two bearish candles. Exit short after two bullish candles. 💰 Risk/Reward Settings: Uses a fixed dollar-based exit: Risk: $100 stop loss. Reward: $200 take profit. Dynamically calculated at entry using close ± offset. 📈 Visual Aids: Plots: ORB High (green line) ORB Low (red line) ORB Midpoint (gray dashed line) ✅ Use Case: Ideal for intraday breakout traders looking to catch retest entries after an opening range is established, with tight confirmation filters based on candle structure and volatility.
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Rootkit98 tarafından
Swing Trader SignalWhat the Script Does (Summary): 🚀 Trade Entry Logic: A long entry is triggered when all the following conditions are met: iGRID Fast SMA crosses above iGRID Slow (bullish crossover). Price is above the Moneyball SMA (bullish filter). QCloud Upper SMA > QCloud Lower SMA (confirming bullish bias). The trade is within the defined session hours (e.g., 9AM–4PM). The day hasn't hit the max daily profit or loss cap. A short entry is the exact opposite, requiring: iGRID bearish crossover Price below Moneyball QCloud bearish alignment Session validity No daily cap violation Before opening a trade, the opposite side is closed (strategy.close), ensuring one-sided positioning. 📊 Daily Risk Control: Keeps track of daily realized PnL using strategy.netprofit changes. Disables all new entries if: $300 daily profit is hit, or $300 daily loss is exceeded. This logic resets each new trading day. ⏰ Session Time Filter: Restricts trading to user-defined hours (default 9:00–16:00). Can be toggled off to allow 24h trading. 📈 Technical Indicators Used: iGRID Fast/Slow: SMAs to detect crossover trend shifts. Moneyball Filter: A single SMA acting as a momentum filter. QCloud (Fast & Slow): Dual SMAs mimicking a cloud structure for trend strength confirmation. 🖼️ Chart Visuals: Plots all key SMAs for reference: Green/red for QCloud Blue/orange for iGRID Purple for Moneyball filter ✅ Use Case: Great for swing traders or systematic intraday traders who want: A structured, low-overhead system Clear trend confirmation Risk-limiting guardrails for live deployment Works well on equities, futures, or crypto with some tuning
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Rootkit98 tarafından
Money Glitch ProWhat the Script Does (Summary): 🚀 Trade Entry Logic: A long (buy) signal is triggered when: A fast EMA crosses above the slow EMA (based on selected preset). The last candle is a bullish Heikin-Ashi candle. MTF Heikin-Ashi (45s, 3m, 15m, 1h — toggleable) also show bullish confirmation. An optional pullback condition is met (e.g., “2-red” pattern before breakout). It occurs within user-defined trading hours. The price is above a mid-EMA (if that filter is enabled). The same logic applies to short (sell) trades, but reversed. 📏 TP/SL (Take Profit / Stop Loss) Logic: If enabled, trades use ATR-based exit logic: TP = Close ± ATR × multiplier. SL = Close ∓ ATR × multiplier. Otherwise, trades close on opposite EMA crossover signals. 📊 Customization Options: EMA presets: 5/13, 3/9, 8/21, 10/20, 13/34. Pullback filters: Choose from 5 types (e.g., engulfing, red-body). Heikin-Ashi filters across up to 4 MTFs. Time filter for best trading hours. Toggle for using mid-EMA filter. Enable/disable ATR TP/SL. Optional performance stats panel (shows trades, win %, profit, etc.). 🖼️ Visual Features: Plots the fast/slow/mid EMAs. Marks long/short entries with triangles. Shows performance stats table in top right. Optional metrics like net profit, win rate, and profit factor. ✅ Use Case: Best for scalpers or short-term swing traders using time-based confluence and momentum filters. It excels on instruments with strong directional bias and responds well to volatility shifts using ATR exits.
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Rootkit98 tarafından
Signals By RootKitWhat the Script Does (Summary): 🚀 Trade Entries: Detects trend reversals using a custom volatility-based channel breakout system: If price breaks below an upper channel, it signals a downtrend. If price breaks above a lower channel, it signals an uptrend. Uses momentum shifts (CMO) and RSI to detect support and resistance conditions (e.g., oversold/overbought pivot areas). Enters: Long (buy) when an uptrend begins. Short (sell) when a downtrend begins. 🛑 Trade Exits: Uses configurable exit strategies, selectable by the user: ATR-based: Targets based on a multiple of ATR. Percentage-based: Fixed percent profit/loss from entry. Fixed offset: Static price distance for TP/SL. 📊 Visual Elements: Draws entry, stop loss, and take profit lines and labels them on the chart. Displays signal shapes (circles and labeled triangles) at buy/sell points. Plots a colored cloud (EMA-based) that changes color based on MACD direction/strength. Draws regression-like visual zones for trade clarity. 📈 Additional Tools and Features: Alerts: Alerts trigger on every buy/sell signal. Prevents overlapping positions (optional). Trade Statistics Table: Displays total trades, wins, losses, and win rate on the chart. ⚙️ Customizable Inputs: Trend Sensitivity: Adjusts how tight or loose the breakout detection is. TP/SL Method: Switch between ATR, % or fixed-point risk management. Cloud visibility & Signal Labels: Toggle visual aids on/off. MACD-enhanced cloud coloring for trend confirmation. 💡 Use Case: Ideal for traders looking for a turnkey trend-reversal strategy with built-in risk control, dynamic trade management, and clear visuals. Suitable for futures, indices, or forex on timeframes like 5m–1h.
Pine Script® stratejisi
Rootkit98 tarafından
OTC COT / smart money Index 2.0 COT/ Smart money 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