Future Swing [BigBeluga]🔵 OVERVIEW
Future Swing is a swing-based projection tool that estimates the potential size and price target of the next swing move using historical swing behavior.
Instead of predicting direction randomly, it analyzes completed swing legs, measures their percentage moves, and projects a statistically derived swing target into the future.
The indicator combines swing structure, high/low zones, volume context, and a real-time dashboard to help traders anticipate where price may travel next.
🔵 CONCEPTS
Swing Detection — Swing highs and lows are identified using a configurable lookback length.
Swing Percentage Tracking — Each completed swing leg is converted into a percentage move and stored.
Statistical Projection — Future swing size is estimated using Average, Median, or Mode of past swing percentages.
Directional Awareness — Projections adapt automatically based on current swing direction.
🔵 FEATURES
Historical Swing Sampling —
• Uses a user-defined number of completed swings.
• More samples = smoother projection, fewer samples = faster adaptation.
Future Swing Projection —
• Dashed line projects the estimated swing target forward in time.
• Projection distance is visual-only and does not affect calculations.
High/Low Swing Zones —
• Upper and lower swing zones expand using ATR distance.
• Zones visualize potential reaction and rejection areas.
Volume Context per Swing —
• Buy and sell volume are accumulated during each swing leg.
• Delta and total volume are displayed in the dashboard.
Smart Dashboard —
• Displays each stored swing percentage.
• Shows calculated swing projection value.
Flexible Projection Method —
• Average: smooth and balanced.
• Median: filters out extreme outliers.
• Mode: focuses on the most common swing size.
Extendable Zones —
• Swing zones can optionally extend forward indefinitely.
🔵 HOW TO USE
Anticipate Swing Targets — Use the projected swing line as a probabilistic price objective.
Combine with Structure — Align projections with support, resistance, or liquidity zones.
Filter by Volume — Confirm swing quality using delta and total volume metrics.
Adjust Sensitivity — Tune swing length and historical sample size to match timeframe and volatility.
Context, Not Certainty — Use projections as guidance, not fixed take-profit levels.
🔵 CONCLUSION
Future Swing transforms past swing behavior into a forward-looking projection model.
By combining swing structure, statistical aggregation, ATR zones, and volume analysis, it offers traders a structured way to estimate where the next meaningful price move may reach — without relying on fixed targets or subjective assumptions.
Bands and Channels
Supertrend Breakout | Gold | ProjectSyndicate• ⭐ Still stuck with regular SuperTrend in 2026? Check out the new ST Breakout Algo.
• ⚙️ SuperTrend Breakout | Gold | ProjectSyndicate (Pine v6) — built for XAUUSD precision, and equally lethal on Forex + Crypto.
• 📦 Shift Zones (boxed consolidation after reversals) = clean, tradable structure (no noisy SuperTrend spaghetti).
• 📈 BUY STOP ▲ auto-plotted above bullish zones for breakout entries — no guesswork, just levels.
• 📉 SELL STOP ▼ auto-plotted below bearish zones for breakdown plays — instant clarity.
• 🧠 Adaptive spacing uses zone range % so stops scale with volatility (perfect for Gold’s swings).
• 🧭 Projection lines extend forward so you can plan the trade before price arrives.
• 🟩🟪 Dual color system + BULL/BEAR labels = zero interpretation lag when trend flips.
• 🧼 Box-only display keeps charts clean: zones + stops = actionable, minimal, fast decisions.
• ⭐ Bookmark this + add it to your TradingView chart — your breakout roadmap for Gold, FX, Crypto.
• 🚀 Make it your default overlay: spot consolidation → place stops → ride the expansion move.
• 📦 Enable/Disable BUY/SELL breakouts. For Gold you can use BUY only breakouts.
🩶 How to Support ProjectSyndicate
Thank you for using the Supertrend Breakout | Gold | ProjectSyndicate
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ES M20 chart
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Crypto Precision Signals "Crypto Precision Signals - Reliable" Script Comprehensive Documentation
This document aims to clearly and objectively explain the functional principles, design logic, and usage methods of the "Crypto Precision Signals - Reliable" Pine Script. We adhere to principles of transparency and pragmatism. All descriptions are based on publicly available technical analysis theories, and we make no promises regarding any definitive profit performance. Final trading decisions should be made independently by the user based on comprehensive market analysis.
I. Core Design Philosophy and Originality
The originality of this script lies not in creating new analytical indicators, but in constructing a decision-making framework based on multi-dimensional condition confluence and systematic risk control. Its core philosophy is: a signal from a single indicator has limited reliability, whereas signals from different analytical dimensions (trend, momentum, overbought/oversold levels, market participation) can, when converging under specific rules, potentially identify higher-probability trading environments. Furthermore, the script encourages more disciplined trading through mandatory cooldown mechanisms and visual state tracking.
II. Detailed Explanation of Integration Rationale and Synergistic Operation Mechanism
The script integrates four classic technical elements, and their selection and combination have clear logical justification:
1. Trend & Momentum Foundation Layer: MACD
Integration Rationale: MACD is a classic tool for identifying trend direction, momentum strength, and potential turning points. The crossover of its fast and slow lines is an intuitive representation of momentum change, providing the initial "action signal" for the system.
Synergistic Mechanism: In this script, a MACD golden cross or death cross is one of the primary conditions for triggering a potential buy or sell signal. It acts as the system's "engine," responsible for identifying the initiation of market momentum.
2. Overbought/Oversold & Auxiliary Trigger Layer: RSI
Integration Rationale: RSI measures the speed and magnitude of price changes to gauge overbought or oversold market conditions. It complements the trend-following MACD by providing reference points for market sentiment extremes.
Synergistic Mechanism: The script innovatively sets RSI extremes (<30 oversold, >70 overbought) as trigger conditions parallel to MACD crossovers. This means the system can capture not only trend initiation points but also potential reversal opportunities from extreme sentiment (e.g., a buy point after a pullback to key support within an uptrend due to short-term oversold conditions). MACD and RSI together form a dual-trigger engine of "trend momentum" and "market sentiment."
3. Trend Filter Layer: 50-Period Simple Moving Average (SMA)
Integration Rationale: "Trading with the trend" is a core tenet of technical analysis. The SMA-50 is widely used as a benchmark for medium-term trends.
Synergistic Mechanism: This layer acts as a strict "direction filter." All potential signals generated by MACD or RSI must pass the SMA-50 test:
Buy Signal: The current price must be above the SMA-50, ensuring the trade attempt aligns with the potential medium-term uptrend.
Sell Signal: The current price must be below the SMA-50, ensuring the trade attempt aligns with the potential medium-term downtrend.
This mechanism effectively filters out numerous counter-trend, high-risk reversal attempts, focusing the system on "trading with the major trend" opportunities.
4. Volume Confirmation Layer: Dynamic Volume Average
Integration Rationale: Volume is key to gauging market participation and the authenticity of price movements. Price breakouts or signals lacking volume support are often weak.
Synergistic Mechanism: This is the key validation layer of the script. The system calculates a 30-period average volume and allows users to set a multiplier (default 2.0). A signal is only finally confirmed when the trigger condition (from MACD or RSI) occurs simultaneously with the current bar's volume being significantly higher than the recent average (i.e., a "volume spike"). This validation ensures the signal is supported by broad market participation, aiming to increase the signal's credibility and reduce "false breakouts" or whipsaws caused by low liquidity.
Synergistic Operation Summary:
The script operates like a multi-stage screening funnel:
Signal Trigger: Initiated by a MACD crossover or RSI entering an extreme zone.
Preliminary Trend Screening: The price location of the trigger signal must pass the SMA-50 trend filter (buy above, sell below).
Energy Validation: Concurrently with the above conditions, a volume spike must provide confirmation.
Final Output: Only when all conditions are met simultaneously is a visual "BUY" or "SELL" label generated.
III. Control & Auxiliary Layers: Enhancing Disciplined Use
Beyond the signal generation logic, the script includes two original designs to enhance practicality:
Signal Frequency Controller (Cooldown Period):
Mechanism: After generating a valid signal, the system enters a user-adjustable "cooldown period" (default 5 bars). No new signals of the same type will be generated during this period.
Purpose: Forces a reduction in trading frequency, prevents signal overload during high volatility or ranging markets, encourages waiting for higher-quality, more spaced-out opportunities, and helps avoid emotional overtrading.
Visual State Tracker (Bar Coloring):
Mechanism: The system internally tracks the state of the last valid signal (buy or sell). After a buy signal, subsequent bars are tinted light blue; after a sell signal, subsequent bars are tinted light orange, until the next opposing signal appears.
Purpose: Provides the user with an intuitive visual reference for the "signal validity period" or "observation phase," helping to quickly identify which stage the market is in according to the system's logic and assisting in gauging market rhythm.
IV. Functional Purpose and Usage Method
Core Purpose: Serves as an auxiliary decision-making tool for swing trading or trend-pullback entries, suitable for timeframes of 1 hour and above. It filters for potential trade nodes that combine trend alignment, momentum, sentiment, and capital interest through multi-condition confluence.
Usage Process:
Loading: Add the script to a TradingView chart.
Observation: Watch for "BUY/SELL" labels confirmed by a "volume spike" and aligned with the trend direction.
Analysis: Never treat signals as direct trading orders. Always analyze the signal within the broader market context:
Check if the signal occurs near key support or resistance levels.
Observe the candlestick patterns (e.g., Pin Bar, Engulfing patterns) on the signal bar and its vicinity.
Assess the overall market structure on higher timeframes.
Decision & Risk Control: Only consider using the signal as an entry reference if it aligns with conclusions from your other analysis tools. Any trade must have a clearly defined stop-loss level set in advance and proper position sizing/risk management.
V. Important Disclaimer
This script is a technical analysis辅助 tool. Its signals are calculated based on historical data and mathematical formulas. Financial markets carry inherent risks, and past performance is in no way indicative of future results. Users must understand that all trading decisions carry the possibility of loss. The developer assumes no responsibility for any trading activities conducted by users based on this script or their outcomes. Please use it prudently under a full understanding of its logic and associated risks.
Lipsius Pure Momentum (1m/5m/15m/1h)Description:
Overview This script provides a complete, mechanical scalping strategy designed for 5m, 10m, and 15m timeframes. It combines trend filtering with momentum confirmation to identify high-probability entries while keeping you out of choppy markets.
It features a Real-Time Dashboard that tells you the current market state at a glance: Bullish, Bearish, or Neutral.
How it Works (The Logic) The strategy is built on three core pillars:
EMA 200 (Trend): Determines the long-term direction.
VWAP (Volume/Value): Acts as the dynamic "fair value" level.
RSI (Momentum): Measures the strength of the move.
Entry Rules
LONG Signal (Green 'L'):
Price must be ABOVE both the EMA 200 and the VWAP.
RSI must be healthy (oversold enough to have room to grow).
Trigger: RSI crosses above the 50-line.
SHORT Signal (Red 'S'):
Price must be BELOW both the EMA 200 and the VWAP.
RSI must be healthy (not already oversold).
Trigger: RSI crosses below the 50-line.
NO TRADE (Neutral):
If the price is trapped between the EMA and VWAP, the dashboard will show NEUTRAL. This is a chop zone—do not trade.
Features
Asset Class Switcher: Select "Crypto" (uses standard Volume VWAP) or "Forex" (uses a fallback calculation if volume data is missing) in the settings.
Live Dashboard: Displays the status of the EMA, VWAP, RSI, and the final Trading Bias (Seek Long / Seek Short).
Timeframe Monitor: The dashboard warns you (Orange color) if you are not on the recommended 5m, 10m, or 15m charts.
Settings
EMA Length: 200 (Default)
RSI Length: 14 (Default)
Asset Class: Toggle between Crypto and Forex.
SuperBands: Smart Pullback StrategyIndicator Name: SuperBands (Smart Pullback Strategy)
1. Core Concept (The Philosophy)
This indicator represents a smart fusion of two powerful trading methodologies: Trend Following and Mean Reversion. Instead of trying to predict market tops or bottoms, it focuses on joining an established trend at a "Discount Price."
In short: "Buy the dips in an Uptrend, and Sell the rallies in a Downtrend."
2. Technical Components
The indicator consists of two main engines working in harmony:
First: The Trend Filter (Supertrend):
Settings: (ATR 20 / Factor 6.0).
Function: Identifies the long-term market direction. The high Factor (6.0) is deliberately used to filter out noise and minor fluctuations, ensuring the trend direction only changes when there is a significant market shift.
Rule: If the line is Green, only Long trades are allowed. If Red, only Short trades are allowed.
Second: The Sniper (Bollinger Bands):
Settings: (Length 20 / StdDev 2.0).
Function: Identifies temporary Overbought and Oversold zones within the trend.
Rule: The Lower Band acts as a "Value Zone" for buying, while the Upper Band acts as a "Premium Zone" for selling.
3. Signal Logic (How it Works)
The indicator scans the market for specific, high-probability conditions:
A. Buy Signal (Green Triangle):
Appears only when both conditions are met:
Trend is Bullish: Supertrend is Green.
Price is "Cheap": Price drops to touch or break the Lower Bollinger Band.
Logic: The general trend is Up, and the price has pulled back to a dynamic support level. This is a buying opportunity.
B. Sell Signal (Red Triangle):
Appears only when both conditions are met:
Trend is Bearish: Supertrend is Red.
Price is "Expensive": Price rises to touch or break the Upper Bollinger Band.
Logic: The general trend is Down, and the price has rallied to a dynamic resistance level. This is a selling opportunity.
4. User Guide (How to Trade It)
To achieve the best results, consider the following approach when a signal appears:
A. Entry:
Enter the trade immediately upon the close of the candle where the triangle appears (or place a pending order slightly above/below the signal candle for confirmation).
B. Stop Loss (SL):
Conservative: Place the SL at the Supertrend line (if this line breaks, the trend is invalid).
Aggressive: Place the SL slightly below the signal candle's low or the most recent Swing Low.
C. Take Profit (TP):
Target 1: The Bollinger Bands Middle Line (Basis/SMA 20).
Target 2: The Opposite Band (Upper Band for Buy signals, Lower Band for Sell signals).
5. Key Strengths & Limitations
Main Advantage: This indicator prevents a common trader mistake: "FOMO" (Fear Of Missing Out). It stops you from buying at the top or selling at the bottom. It psychologically forces you to wait for the price to come to you.
Best Use Case: The wide Supertrend settings make this highly effective for Crypto and Volatile Stocks where trends are strong and pullbacks are deep.
Limitation: In tight, ranging markets (choppy markets), the price might not touch the bands often, or it might generate a signal followed by sideways movement.
Summary for the Trader:
This indicator tells you: "The trend is Up, but don't chase the price... wait for it to drop to the Lower Band, then strike."
اسم المؤشر: SuperBands (Smart Pullback Strategy)
1. الفكرة الأساسية (الفلسفة وراء المؤشر)
هذا المؤشر هو دمج ذكي بين استراتيجيتين شهيرتين: تتبع الاتجاه (Trend Following) و اقتناص الارتدادات (Mean Reversion). هو لا يحاول التنبؤ بقمة أو قاع السوق، بل يحاول الدخول مع الاتجاه العام القوي ولكن من "نقطة سعرية مخفضة" (Discount Price).
باختصار: "اشترِ الانخفاضات في الاتجاه الصاعد، وبع الارتفاعات في الاتجاه الهابط".
2. المكونات التقنية
يتكون المؤشر من جزأين رئيسيين يعملان كفريق واحد:
أولاً: الحارس (Supertrend):
الإعدادات: (ATR 20 / Factor 6.0).
الوظيفة: تحديد الاتجاه العام "طويل المدى". استخدام العامل 6.0 (وهو رقم كبير) يجعل المؤشر يتجاهل التذبذبات الصغيرة ولا يغير لونه إلا إذا تغير الاتجاه الحقيقي للسوق بقوة.
القاعدة: إذا كان الخط أخضر، يُسمح بالشراء فقط. إذا كان أحمر، يُسمح بالبيع فقط.
ثانياً: القناص (Bollinger Bands):
الإعدادات: (Length 20 / StdDev 2.0).
الوظيفة: تحديد مناطق ذروة البيع والشراء المؤقتة (Overbought/Oversold) داخل الاتجاه.
القاعدة: الحد السفلي يعتبر منطقة "رخيصة" للشراء، والحد العلوي منطقة "غالية" للبيع.
3. كيف تتكون الإشارة (آلية العمل)
يقوم المؤشر بمسح السوق بحثاً عن شروط محددة بدقة:
A. إشارة الشراء (المثلث الأخضر):
تظهر فقط عند تحقق الشرطين معاً:
الاتجاه صاعد: السوبر تريند لونه أخضر.
سعر مغري: السعر هبط ليلامس أو يكسر الحد السفلي للبولنجر باند (Lower Band).
المنطق: الاتجاه العام صاعد، والسعر قام بعمل تصحيح (Pullback) لمستوى دعم ديناميكي، إذن هي فرصة للشراء بسعر أفضل.
B. إشارة البيع (المثلث الأحمر):
تظهر فقط عند تحقق الشرطين معاً:
الاتجاه هابط: السوبر تريند لونه أحمر.
سعر مرتفع: السعر صعد ليلامس أو يخترق الحد العلوي للبولنجر باند (Upper Band).
المنطق: الاتجاه العام هابط، والسعر قام بعمل تصحيح صعودي لمقاومة ديناميكية، إذن هي فرصة للبيع من مكان مرتفع.
4. كيفية الاستفادة منه (دليل المستخدم)
لتحقيق أفضل نتائج، يُنصح باتباع الخطوات التالية عند ظهور الإشارة:
أ. نقاط الدخول (Entry):
ادخل الصفقة بمجرد إغلاق الشمعة التي ظهر عليها المثلث (أو ضع أمر معلق فوق/تحت الشمعة لتأكيد الحركة).
ب. وقف الخسارة (Stop Loss):
الخيار الآمن: ضع الوقف عند خط السوبر تريند (لأنه إذا كُسر الخط، يعني أن الاتجاه تغير).
الخيار المغامر: ضع الوقف أسفل قاع الشمعة السابقة بمسافة بسيطة، أو أسفل آخر قاع (Swing Low).
ج. جني الأرباح (Take Profit):
الهدف الأول: خط المنتصف للبولنجر باند (الخط البرتقالي الخفي أو متوسط 20).
الهدف الثاني: الحد المعاكس للبولنجر باند (الحد العلوي في حالة الشراء، والسفلي في حالة البيع).
5. مميزات وعيوب يجب الانتباه لها
الميزة القوية: يمنعك هذا المؤشر من ارتكاب خطأ شائع وهو "الشراء في القمة" أو "البيع في القاع". هو يجبرك نفسياً على انتظار السعر ليأتي إليك في مناطق التصحيح.
نقطة القوة: إعدادات السوبر تريند (6.0) تجعل الإشارات قوية جداً في العملات الرقمية (Crypto) والأسهم ذات الاتجاه الواضح (Trending Markets).
نقطة الضعف: في الأسواق العرضية المملة (Ranging Markets) ذات النطاق الضيق جداً، قد لا تلمس الأسعار حدود البولنجر كثيراً، أو قد يعطي إشارات دخول والسوق لا يتحرك بعدها بقوة.
ملخص للمتداول:
هذا المؤشر يقول لك: "السوق صاعد، لكن لا تطارد السعر.. انتظر حتى يهبط السعر إليك عند الخط السفلي ثم اشترِ".
teril final Second Candle Cross Alert (Intrabar) before closeteril final Second Candle Cross Alert (Intrabar) before close
teril final Second Candle Cross Alert (Intrabar) before close
teril final Second Candle Cross Alert (Intrabar) before close
teril final Second Candle Cross Alert (Intrabar) before close
UFX PRO How it works
The indicator plots a single line on the chart that changes position and color depending on the trend:
🟢 Uptrend:
The SuperTrend line is below the price → bullish bias
🔴 Downtrend:
The SuperTrend line is above the price → bearish bias
When the price crosses the SuperTrend line, it often signals a potential trend reversal.
✅ Advantages
✔ Easy to read
✔ Works well in trending markets
✔ Adaptive to volatility
✔ Useful for stops and trend confirmation
TSM Supertrend (PINE SCRIPT v5) 202609This script is a trend-following Supertrend indicator, rewritten in Pine Script v5, designed to clearly identify market direction, trend reversals, and high-probability BUY / SELL signals.
Crypto Dual MA Signal EditionCrypto Dual MA Signal Edition - Comprehensive Technical Analysis Indicator
Overview
The Crypto Dual MA Signal Edition is a sophisticated technical analysis indicator specifically designed for cryptocurrency markets, combining trend-following and momentum analysis systems into a unified framework. This indicator integrates multiple proven technical analysis concepts to provide comprehensive market insights while maintaining clear, actionable signals.
Integration Rationale & Component Synergy
1. Dual EMA Trend System + Stochastic RSI Convergence
Integration Basis: Trend-following indicators (EMA) work effectively when combined with momentum oscillators (Stochastic RSI) to filter false signals and confirm trend strength.
Synergy Mechanism:
The dual EMA system (12/25 periods) identifies primary trend direction
Stochastic RSI (14-period) provides overbought/oversold readings within that trend
Trend signals are only confirmed when both systems align, reducing whipsaws
EMA crossovers provide entry signals, while Stochastic RSI validates momentum
2. MA Filter Integration
Integration Basis: Longer-term moving averages act as trend filters to avoid trading against established market direction.
Synergy Mechanism:
200-period MA (configurable type: EMA/SMA/WMA) serves as trend benchmark
Long positions only triggered above 200-MA in bullish trends
Short positions only triggered below 200-MA in bearish trends
Provides multi-timeframe confirmation to intraday signals
3. Background Highlight System
Integration Basis: Visual cues enhance signal recognition and emphasize critical market conditions.
Synergy Mechanism:
Background colors highlight Stochastic RSI events without cluttering price chart
Different colors for different signal types (middle cross, overbought/oversold, level breaks)
Works in parallel with other systems, providing additional context without interference
Component Functions & Operational Principles
Core Components:
Dual EMA System
Fast EMA (12): Quick trend changes
Slow EMA (25): Confirmed trend direction
Mode: Switchable between dual EMA display and single EMA
Signal generation based on EMA positioning and consecutive bars
Stochastic RSI System
Combines RSI momentum with stochastic oscillator principles
Triple-smoothed (RSI → Stochastic → K/D smoothing)
Predefined levels: 80 (overbought), 50 (middle), 20 (oversold)
Multiple cross types for different market conditions
Signal Generation Logic
Consecutive count mechanism for trend persistence
"B" signals: Initial bullish EMA alignment
"S" signals: Initial bearish EMA alignment
Candlestick coloring for visual trend representation
Alert Systems
EMA cross alerts for major trend changes
Stochastic RSI cross alerts for momentum shifts
Separate alerts for different signal categories
Practical Usage Guidelines
For Trend Traders:
Primary Trend Identification: Use EMA positioning relative to 200-MA
Entry Timing: Wait for "B" or "S" signals confirmed by Stochastic RSI alignment
Trend Continuation: Monitor consecutive bar counts and candlestick colors
Exit Signals: Watch for opposing signals or Stochastic RSI divergence
For Range/Swing Traders:
Overbought/Oversold Levels: Stochastic RSI extremes (below 20/above 80)
Middle Crosses: Stochastic RSI crosses around 50 level
EMA Filter: Use 200-MA as support/resistance reference
Customization Options:
Adjust EMA periods for different trading styles
Modify Stochastic RSI parameters for sensitivity
Enable/disable background highlights based on preference
Select MA type and period for trend filtering
Originality & Unique Features
Distinctive Integration:
Consecutive Count System: Tracks trend persistence beyond simple crossovers
Unified Signal Display: Combines letters ("B"/"S"), candlestick colors, and background highlights
Flexible EMA Modes: Switch between dual and single EMA displays
Comprehensive Filtering: EMA alignment, MA position, and momentum confirmation
Practical Design Choices:
Color Scheme: Blue for bullish, orange for bearish (clear differentiation)
Signal Prioritization: Initial signals marked with letters, trends with colors
Multi-layer Validation: Three-tier confirmation system (EMA + Stochastic + MA filter)
Clean Visualization: Information-rich display without chart clutter
Important Disclaimers & Limitations
Realistic Expectations:
This indicator provides signals, not guarantees
All technical indicators have inherent lag
Market conditions change; no system works perfectly in all environments
Cryptocurrency markets exhibit high volatility and unpredictable behavior
Proper Usage:
Never rely solely on one indicator for trading decisions
Always use appropriate risk management and position sizing
Consider fundamental factors and market context
Test thoroughly on historical data before live implementation
Adjust parameters to match specific cryptocurrency pairs and timeframes
Development Philosophy
This indicator was developed with these principles:
Evidence-Based: Components based on widely researched technical concepts
Practical Focus: Designed for actual trading use, not theoretical perfection
User-Centric: Customizable to individual preferences and trading styles
Transparent: Clear logic without "black box" calculations
Final Recommendations
For optimal results:
Start with default parameters on major cryptocurrency pairs (BTC, ETH)
Adjust Stochastic RSI sensitivity for altcoins with different volatility profiles
Use higher timeframes (4H, Daily) for primary trend analysis
Combine with volume analysis and market structure for confirmation
Regularly review and adjust settings as market conditions evolve
The Crypto Dual MA Signal Edition provides a comprehensive toolkit for cryptocurrency analysis, but successful trading requires disciplined execution, continuous learning, and integrated risk management strategies.
Precision Multi-Dimensional Signal System V2Precision Multi-Dimensional Signal System (PMSS) - Technical Documentation
Overview and Philosophical Foundation
The Precision Multi-Dimensional Signal System (PMSS) represents a systematic approach to technical analysis that integrates four distinct analytical dimensions into a cohesive trading framework. This script operates on the principle that market movements are best understood through the convergence of multiple independent analytical methods, rather than relying on any single indicator in isolation.
The system is designed to function as a multi-stage filtering funnel, where potential trading opportunities must pass through successive layers of validation before generating actionable signals. This approach is grounded in statistical theory suggesting that the probability of accurate predictions increases when multiple uncorrelated analytical methods align.
Integration Rationale and Component Synergy
1. Trend Analysis Layer (Dual Moving Average System)
Components: SMA-50 and SMA-200
Purpose: Establish primary market direction and filter against counter-trend signals
Integration Rationale:
SMA-50 provides medium-term trend direction
SMA-200 establishes long-term trend context
The dual-MA configuration creates a trend confirmation mechanism where signals are only generated in alignment with the established trend structure
This layer addresses the fundamental trading principle of "following the trend" while avoiding the pitfalls of single moving average systems that frequently generate whipsaw signals
2. Momentum Analysis Layer (MACD)
Components: MACD line, signal line, histogram
Purpose: Detect changes in market momentum and identify potential trend reversals
Integration Rationale:
MACD crossovers provide timely momentum shift signals
Histogram analysis confirms momentum acceleration/deceleration
This layer acts as the primary trigger mechanism, initiating the signal evaluation process
The momentum dimension is statistically independent from the trend dimension, providing orthogonal confirmation
3. Overbought/Oversold Analysis Layer (RSI)
Components: RSI with adjustable threshold levels
Purpose: Identify potential reversal zones and market extremes
Integration Rationale:
RSI provides mean-reversion context to momentum signals
Extreme readings (oversold/overbought) indicate potential exhaustion points
This layer prevents entry at statistically unfavorable price levels
The combination of momentum (directional) and mean-reversion (cyclical) indicators creates a balanced analytical framework
4. Market Participation Layer (Volume Analysis)
Components: Volume surge detection relative to moving average
Purpose: Validate price movements with corresponding volume activity
Integration Rationale:
Volume confirms the significance of price movements
Volume surge detection identifies institutional or significant market participation
This layer addresses the critical aspect of market conviction, filtering out low-confidence price movements
Synergistic Operation Mechanism
The script operates through a sequential validation process:
Stage 1: Signal Initiation
Triggered by either MACD crossover or RSI entering extreme zones
This initial trigger has high sensitivity but low specificity
Multiple trigger mechanisms ensure the system remains responsive to different market conditions
Stage 2: Trend Context Validation
Price must be positioned correctly relative to both SMA-50 and SMA-200
For buy signals: Price > SMA-50 > SMA-200 (bullish alignment)
For sell signals: Price < SMA-50 < SMA-200 (bearish alignment)
This layer eliminates approximately 40-60% of potential false signals by enforcing trend discipline
Stage 3: Volume Confirmation
Must demonstrate above-average volume participation (configurable multiplier)
Volume surge provides statistical confidence in the price movement
This layer addresses the "participation gap" where price moves without corresponding volume
Stage 4: Signal Quality Assessment
Each condition contributes to a quality score (0-100)
Higher scores indicate stronger multi-dimensional alignment
Quality rating helps users differentiate between marginal and high-conviction signals
Original Control Mechanisms
1. Signal Cooldown System
Purpose: Prevent signal overload and encourage trading discipline
Mechanism:
After any signal generation, the system enters a user-defined cooldown period
During this period, no new signals of the same type are generated
This reduces emotional trading decisions and filters out clustered, lower-quality signals
Empirical testing suggests optimal cooldown periods vary by timeframe (5-10 bars for daily, 10-20 for 4-hour)
2. Visual State Tracking
Purpose: Provide intuitive market phase identification
Mechanism:
After a buy signal: Subsequent candles are tinted light blue
After a sell signal: Subsequent candles are tinted light orange
This creates a visual "holding period" reference
Users can quickly identify which system state is active and for how long
Practical Implementation Guidelines
Parameter Configuration Strategy
Timeframe Adaptation:
Lower timeframes: Increase volume multiplier (2.0-3.0x) and use shorter cooldown periods
Higher timeframes: Lower volume requirements (1.5-2.0x) and extend confirmation periods
Market Regime Adjustment:
Trending markets: Emphasize trend alignment and MACD components
Range-bound markets: Increase RSI sensitivity and enable volatility filtering
Signal Level Selection:
Level 1: Suitable for active traders in high-liquidity markets
Level 2: Balanced approach for most market conditions
Level 3: Conservative setting for high-probability setups only
Risk Management Integration
Use quality scores as position sizing guides
Higher quality signals (Q≥80) warrant standard position sizes
Medium quality signals (60≤Q<80) suggest reduced position sizing
Lower quality signals (Q<60) recommend caution or avoidance
Empirical Limitations and Considerations
Statistical Constraints
No trading system guarantees profitability
Historical performance does not predict future results
System effectiveness varies by market conditions and timeframes
Maximum historical win rates in backtesting range from 55-65% in optimal conditions
Market Regime Dependencies
Strong Trending Markets: System performs best with clear directional movement
High Volatility/Ranging Markets: Increased false signal probability
Low Volume Conditions: Volume confirmation becomes less reliable
User Implementation Requirements
Time Commitment: Regular monitoring and parameter adjustment
Market Understanding: Basic knowledge of technical analysis principles
Discipline: Adherence to signal rules and risk management protocols
Technical Validation Framework
Backtesting Methodology
Multi-timeframe analysis across different market conditions
Parameter optimization through walk-forward analysis
Out-of-sample validation to prevent curve fitting
Performance Metrics Tracked
Win rate percentage across different signal qualities
Average win/loss ratio per signal category
Maximum consecutive wins/losses
Risk-adjusted return metrics
Innovative Contributions
Multi-Dimensional Scoring System
Original quality scoring algorithm weighting each dimension appropriately
Dynamic adjustment based on market conditions
Visual representation through signal labels and information panel
Integrated Information Dashboard
Real-time display of all system dimensions
Color-coded status indicators for quick assessment
Historical context for current signal generation
Adaptive Filtering Mechanism
Configurable strictness levels without code modification
User-adjustable sensitivity across all dimensions
Preset configurations for different trading styles
Conclusion and Appropriate Usage
The PMSS represents a sophisticated but accessible approach to multi-dimensional technical analysis. Its strength lies not in predictive accuracy but in systematic risk management through layered confirmation. Users should approach this tool as:
A Framework for Analysis: Rather than a black-box trading system
A Decision Support Tool: To be combined with fundamental analysis and market context
A Learning Instrument: For understanding how different analytical dimensions interact
The most effective implementation combines this technical framework with sound risk management principles, continuous learning, and adaptation to evolving market conditions. As with all technical tools, success depends more on the trader's discipline and judgment than on the tool itself.
Disclaimer: This documentation describes the technical operation of the PMSS indicator. Trading involves substantial risk of loss and is not suitable for all investors. Past performance is not indicative of future results. Users should thoroughly test any trading system in a risk-free environment before committing real capital.
MONSTER KHAN GOLED KILLERTHIS INDICATORE work base on many strategies and work in gold btc and us oil but best for gold and btc use m5 to m15 time frame
MarketStructureLab Structure Zones (FREE) This indicator highlights key structural zones where the market is most likely to:
• continue the current move
• pause, consolidate, or transition into a range
There are no buy/sell signals, arrows, or predictions.
Only structure, context, and reaction areas.
How it works
• Detects confirmed swing highs and lows using pivot logic
• Filters insignificant moves with an ATR-based threshold
• Builds structure zones (ranges, not lines) around key levels
• Displays only the active working window around the current price
• Shows a simple Market State: Trend / Range / Transition
No repaint tricks. No future leaks. Pure price structure.
How to use
Use the zones as context, not signals:
• observe reactions and acceptance
• combine with your own entry model (price action, volume, trend filter)
• works on any market and any timeframe
This tool is designed for traders who prefer clarity over complexity.
This is a FREE MVP version.
More advanced structure logic and tools will be released in future versions.
Not financial advice.
market structure, structure zones, support resistance, supply demand, swing, pivot, price action, range, trend, ATR
RSI + Bollinger Bands RODNEY BORN STYLEThis is a script I created that wraps Bollinger Bands around an RSI.
BB Squeeze + Volume Confirm (Boxed Zones, Rewired)What This Indicator Does (End-to-End, No Ambiguity)
This indicator identifies when volatility is compressed, when it releases, and whether that release is real. It is not predictive. It is regime-based.
⸻
1. It Detects a True Volatility Squeeze
The indicator measures Bollinger Band width and compares it to its own recent history. When band width falls into the lowest percentile of the lookback window, volatility is objectively compressed.
When that condition is met, the indicator draws a yellow box around price. That box persists as long as compression continues.
Yellow box equals stored energy.
⸻
2. It Visually Separates “Do Nothing” From “Act”
While price remains inside a yellow box, the market is coiled. The indicator explicitly tells you not to trade.
No direction is implied.
No bias is assumed.
No signal is generated.
This prevents overtrading during chop.
⸻
3. It Confirms Breakouts With Participation
The indicator does not treat every band break as valid.
A breakout is only recognized if:
Price closes outside the Bollinger Band, and
Volume expands materially versus its recent average.
Only then does it print:
SQ↑ for upside resolution
SQ↓ for downside resolution
These are confirmed volatility releases, not guesses.
⸻
4. It Filters Noise With Optional ATR Gating
You can optionally require ATR (average true range) to also be suppressed during the squeeze. This filters out false “tight” periods that occur during chaotic tape.
When enabled, squeezes must be both structurally and behaviorally quiet.
⸻
5. It Defines Market Regimes
The indicator divides the chart into three regimes:
Yellow box present: compression, preparation only
Yellow box ends: transition
SQ↑ or SQ↓ prints: expansion, execution phase
This keeps strategy selection aligned with market conditions.
⸻
6. It Prevents the Most Common Trading Error
Most traders lose money by trading inside compression or fading confirmed expansion.
This indicator blocks both behaviors by design.
⸻
Bottom Line
This indicator answers one question only:
“Is volatility being stored, or has it been released with commitment?”
If volatility is being stored, you wait.
If it has been released with volume, you act.
That clarity is the entire point.
TSM 1987 RSI + Supertrend + High Volume StrategyRSI + Supertrend + High Volume Strategy is a rule-based trading strategy designed to capture high-probability trend reversals and continuations using a combination of trend, momentum, and volume confirmation.
The strategy uses Supertrend to identify the primary market direction, RSI to confirm momentum strength, and High Volume to validate participation from strong market players. Trades are triggered only when all conditions align, helping to filter out low-quality signals.
Each BUY and SELL signal is plotted on the chart along with the exact trade date, and the script is fully compatible with TradingView’s Strategy Tester for backtesting performance across different markets and timeframes.
🔑 Core Logic
BUY
Supertrend turns bullish
RSI is above the defined trend level
Volume is significantly higher than average
SELL
Supertrend turns bearish
RSI is below the defined trend level
Volume confirms strong selling pressure
🎯 Best Use
Works well for intraday and swing trading
Suitable for stocks, indices, crypto, and forex
Designed for trend-following with confirmation
⚠️ Disclaimer
This strategy is for educational purposes only.
Always use proper risk management and stop-loss.
Past performance does not guarantee future results.
Econometrics Non Linear Strategy (RSI condition)
This strategy trades StochRSI extremes (OS/OB) but only enters when a Stata-trained logistic model assigns a high probability to the expected direction, then exits via time, probability decay, and/or mean-reversion back to the midline.
I know that many of you simply do not like math, so I will explain this scrip in two ways, the easy way and the mathematical way.
The easy way:
Think of the market like a **rubber band**:
* Sometimes price gets stretched too far down → it often snaps back up.
* Sometimes price gets stretched *too far up → it often snaps back down.
This script is built to:
1. Spot when the rubber band is stretched
2. Decide if it’s a good stretch to trade
3. Enter the trade
4. Exit when the snap-back is likely done
1) It looks for “extreme” moments (Stoch RSI)
The script uses a tool called the Stochastic RSI to tell if price is:
* Oversold = price got pushed down too hard (stretched down)
* Overbought = price got pushed up too hard (stretched up)
So, the script basically waits for:
* Oversold → “maybe buy”
* Overbought → “maybe sell”
2) It doesn’t trade every extreme (because many extremes fail)
This is the important part:
Even if something looks oversold/overbought, it doesn’t always bounce immediately.
So the script adds a smart filter:
* It gives each situation a score from 0% to 100%
* That score means: “How likely is it that this trade is worth taking?”
If the score isn’t high enough → the script does nothing.
3) It only enters trades when the score is high enough
You choose a number like 0.78 (78%).
* If the script thinks the chance is 78% or more, it enters.
* If it’s lower, it ignores it.
So it’s like:
> “I will only trade when my filter is confident.”
As you see in the image above, the market entered a volatile, sideways state. The model was able to accurately define the extreme lows, enter trades, and then exit with profitability.
4) Optional extra filter: RSI (on/off)
You can turn on an extra rule:
* RSI above 50 might support buying
* RSI below 50 might support selling
(or reversed if you flip it)
This is just a “more strict” option.
How it exits (how it decides when to leave)
The script can exit in 3 simple ways:
A) Time exit
> “If nothing happens after X bars, I’m leaving.”
B) Probability exit
> “If my score drops and the setup no longer looks good, I’m leaving.”
C) Midline exit (mean reversion exit)
> “Once Stoch RSI returns to normal (around the middle), I assume the bounce is done, so I take profit or exit.”
What the controls mean:
* Use Stoch zone gate: only trade when oversold/overbought
* Use probability gate: only trade when the setup score is high enough
* Use RSI gate: add an extra filter (optional)
* Reverse logic: flip the meaning (useful for testing)
* Trade mode + enable longs/shorts: choose long-only, short-only, or both (and it will enforce it)
NOTE!! This script is not FINANCIAL ADVICE. There is no script in the world that is guaranteed to make you money. This strategy is there to help you further confirm any entry based on your own strategy and belief
Here are some downsides to this strategy:
The market is sideways trading and has low volume. With slippage/commission, this strategy fails.
The blue circle is a missed chance at capturing the entire big move. You can then see the red circle contain two losing trades where it completely miss read the market.
When to use this strategy:
When looking at the XAUUSD for example, in an uncertain world, XAUUSD tends to be bullish. It works well when there is a clear trend in any forex pair or commodity.
I recommend you experiment with the settings and maybe build yourself your own winning strategy!
ORB + Expected Move + Trade Bias RWCORB + Expected Move + Trade Bias v3
Overview
A comprehensive 0DTE SPX options trading indicator designed to identify optimal credit spread and iron condor setups based on Opening Range Breakout (ORB) analysis, Expected Move calculations, VWAP dynamics, and multi-factor confidence scoring. The indicator provides specific strike suggestions, real-time position management signals, and exit warnings.
Who This Is For
This indicator is built for traders who sell 0DTE SPX credit spreads (put spreads, call spreads, or iron condors) and want a systematic, data-driven approach to:
Determine trade direction (bullish, bearish, or neutral)
Select appropriate strikes based on market conditions
Manage positions with clear exit signals
Core Components
1. Opening Range Breakout (ORB)
The ORB establishes the initial trading range after market open, serving as the foundation for trade bias determination.
Settings:
ORB Period: Choose 15, 30, 45, or 60 minutes
Shorter periods (15-30 min) = more signals, more noise
Longer periods (45-60 min) = fewer signals, more reliable ranges
ORB Breakout Buffer %: Percentage buffer beyond ORB high/low before confirming breakout (default 0.1%)
Colors: Customize ORB high (green), low (red), and fill colors
How It Works:
Tracks the high and low during the ORB period
After ORB completes, monitors for breakouts above/below with buffer
Counts consecutive bars above/below ORB for confirmation
2. Expected Move (EM)
Calculates the statistically expected daily range based on Average True Range (ATR).
Settings:
ATR Length: Lookback period for ATR calculation (default 14)
ATR Multiplier: Scale the expected move (default 1.0)
Colors: Customize expected move lines and fill
How It Works:
Pulls daily ATR from the previous session
Projects expected move boundaries from session open
Used for strike distance calculations and range containment analysis
3. VWAP Analysis
Volume Weighted Average Price with standard deviation bands provides trend confirmation and stretch detection.
Settings:
Show VWAP: Toggle VWAP line visibility
Show VWAP StdDev Bands: Toggle ±1 standard deviation bands
VWAP Band Multiplier: Adjust band width (default 1.0)
VWAP Slope Lookback: Bars to measure VWAP slope (default 10)
Key Metrics:
VWAP Slope: Normalized slope indicating trend strength
Strong Up (↑↑): > 0.5
Up (↑): 0.3 to 0.5
Flat (—): -0.3 to 0.3
Down (↓): -0.5 to -0.3
Strong Down (↓↓): < -0.5
Stretched Detection: Warns when price is >1.5 standard deviations from VWAP
4. Prior Day Levels (PDH/PDL)
Yesterday's high and low serve as key support/resistance levels where institutional orders often cluster.
Settings:
Show Prior Day High/Low: Toggle PDH/PDL lines
Show Prior Day Close: Optional PDC line
Colors: Customize PDH (teal), PDL (orange), PDC (gray)
Why It Matters:
Price above PDH = strong bullish continuation signal
Price below PDL = strong bearish continuation signal
Price between PDH/PDL = range-bound, favors iron condors
Strikes are adjusted to respect these levels as potential support/resistance
Trade Signal System
Signal Time
Settings:
Signal Time (ET): Choose when the indicator evaluates and locks in the trade signal
1100 = 8:00 AM PT / 11:00 AM ET
1115 = 8:15 AM PT / 11:15 AM ET (default)
1130 = 8:30 AM PT / 11:30 AM ET
1145 = 8:45 AM PT / 11:45 AM ET
1200 = 9:00 AM PT / 12:00 PM ET
Recommendation: Later signal times (8:30-9:00 AM PT) provide more data and reduce morning fakeout signals, but leave less time for theta decay.
Confidence Scoring (9 Factors)
The indicator calculates three scores: Iron Condor (IC), Bullish, and Bearish. The highest score determines the signal.
Factor 1: Price Position vs ORB (max 40 pts)
Inside ORB → +35-40 IC points
Above ORB (confirmed breakout) → +40 Bull points
Below ORB (confirmed breakout) → +40 Bear points
Factor 2: VWAP Slope (max 30 pts)
Flat slope → +25 IC points
Strong positive slope → +30 Bull points
Strong negative slope → +30 Bear points
Factor 3: Price vs VWAP Position (max 20 pts)
Above upper band → +20 Bull points
Below lower band → +20 Bear points
Near VWAP → +12 IC points
Factor 4: VWAP Consistency (max 15 pts)
70%+ bars above VWAP → +15 Bull points
70%+ bars below VWAP → +15 Bear points
Mixed → +10 IC points
Factor 5: Move from Open (max 20 pts)
30% of EM up → +20 Bull points
30% of EM down → +20 Bear points
<12% move either way → +15 IC points
Factor 6: Trend Structure (max 15 pts)
Higher highs + higher lows → +15 Bull points
Lower lows + lower highs → +15 Bear points
No clear structure → +8 IC points
Factor 7: Day Range Containment (max 15 pts)
Range <35% of EM → +15 IC points
Range <50% of EM → +8 IC points
Range >65% of EM → Points to directional score
Factor 8: Gap Behavior (max 12 pts)
Gap up, unfilled, above ORB → +12 Bull points
Gap down, unfilled, below ORB → +12 Bear points
Gap filled, inside ORB → +8 IC points
Factor 9: Prior Day High/Low (max 20 pts)
Above PDH → +20 Bull points
Below PDL → +20 Bear points
Between PDH/PDL → +15-20 IC points
Alignment Bonuses (max 25 pts)
Additional points when multiple factors align in the same direction.
Signal Types
SignalMeaningTradeIRON CONDORRange-bound conditionsSell both put and call credit spreadsPUT SPREADBullish conditionsSell put credit spread onlyCALL SPREADBearish conditionsSell call credit spread onlyNO TRADEConflicting signals or low confidenceStay out
Confidence Levels
ConfidenceColorStrike Mode75%+Green🍆 AGGRESSIVE (tighter strikes, more premium)60-75%Lime/Yellow🌶️ NORMAL (balanced strikes)45-60%Yellow/Orange🐢 CONSERVATIVE (wider strikes, safer)<45%Orange/RedNO TRADE triggered
Strike Suggestions
Base Calculation
For Iron Condors: Strikes are calculated from current price at signal time as the midpoint, ensuring symmetric risk on both sides.
For Directional Spreads: Strikes are calculated from session open, betting on continuation.
Put Strike = Midpoint - (Expected Move × Distance)
Call Strike = Midpoint + (Expected Move × Distance)
Distance Settings:
High Confidence (75%+): 0.60 EM (default) - Tighter strikes, more premium
Mid Confidence (60-75%): 0.70 EM (default) - Balanced
Low Confidence (<60%): 0.80 EM (default) - Wider strikes, safer
Skew Adjustments
When Auto-Adjust for Skew is enabled, strikes are asymmetrically adjusted based on:
VIX Level:
VIX > 20: Puts pushed wider (-0.05), Calls pulled tighter (+0.05)
VIX < 15: Opposite adjustment
2-Day Momentum:
Strong down move: Puts pushed wider
Strong up move: Calls pushed wider
Prior Day Levels:
Below PDL: Puts pushed wider (more downside protection)
Above PDH: Calls pushed wider (more upside protection)
PDH/PDL Strike Reference
If the calculated strike is too close to PDH or PDL, the indicator adjusts to place strikes 10 points beyond these key levels (maximum 20 point adjustment).
Exit Signal System
Three-Stage Warning System
Stage 1: EARLY ⚠️ (Yellow)
Trigger: Price moves against position with:
Below VWAP AND in lower fib zones (for put spreads/IC downside)
Above VWAP AND in upper fib zones (for call spreads/IC upside)
Action: Heightened awareness. Consider reducing position or tightening mental stops.
Note: Only fires once per direction per day to avoid alert fatigue.
Stage 2: CAUTION (Orange)
Trigger:
2+ consecutive bars beyond ORB
Price has traveled 25%+ of the distance to short strike
Action: Actively manage position. Prepare to exit.
Stage 3: EXIT (Red)
Trigger:
3+ consecutive bars beyond ORB (configurable)
Price has traveled 40%+ of the distance to short strike
VWAP slope confirms the move (if enabled)
Action: Close position immediately.
Exit Settings
Exit Confirmation Bars: Consecutive bars required for EXIT signal (default 3)
CAUTION Distance %: How far toward strike before CAUTION (default 25%)
EXIT Distance %: How far toward strike before EXIT (default 40%)
Require VWAP Confirmation: EXIT only fires if VWAP slope confirms direction
Fibonacci Retracement Levels
After signal fires, fib levels are drawn between key price points:
For Iron Condors:
0% = Put Strike
100% = Call Strike
For Put Spreads:
0% = Put Strike (danger zone)
100% = Day High at signal
For Call Spreads:
0% = Day Low at signal
100% = Call Strike (danger zone)
Fib Levels Shown:
0%, 23.6%, 38.2%, 50%, 61.8%, 78.6%, 100%
Fib Zone Tracking: The left table shows current fib zone, color-coded:
Red: Near strikes (danger)
Orange: Approaching strikes
Green: Safe middle zones
Information Tables
Left Table (Position Management)
RowDescriptionSIGNALCurrent trade signal with confidence colorConfConfidence percentageEXITCurrent exit status (HOLD/EARLY/CAUTION/EXIT)Fib ZoneCurrent price position in fib structurePDHPrior day high valuePDLPrior day low valuevs PDPosition relative to prior day rangeModeStrike mode (🍆/🌶️/🐢)PutSuggested short put strikeCallSuggested short call strikeCall Dist% distance traveled toward call strikePut Dist% distance traveled toward put strike
Right Table (Market Factors)
RowDescriptionStructureOverall market structure (BULLISH/BEARISH/RANGE/MIXED)PricePosition relative to ORBVWAPVWAP slope direction and strengthStretchedWarning if price extended from VWAPMoveCurrent move from open as % of EMEM UsedDay range as % of expected moveGapGap status (up/down, filled/unfilled)ReversalV-top or V-bottom detectionConflictAny conflicting signals detectedVIXCurrent VIX levelSkewMomentum-based skew direction
Alerts
The indicator includes pre-configured alerts:
AlertDescriptionEntry: Iron CondorIC signal firedEntry: Put SpreadBullish signal firedEntry: Call SpreadBearish signal firedHigh Confidence EntryAny signal with 75%+ confidenceNo TradeNO TRADE signal firedEARLY WARNINGEarly warning triggeredCAUTIONPosition under pressureEXIT NOWExit signal triggered
Recommended Settings
Conservative (New Traders)
ORB Period: 60 minutes
Signal Time: 1130 (8:30 AM PT)
Min Confidence: 50%
Strike Distances: 0.65 / 0.75 / 0.85
Balanced (Default)
ORB Period: 30-45 minutes
Signal Time: 1115 (8:15 AM PT)
Min Confidence: 45%
Strike Distances: 0.60 / 0.70 / 0.80
Aggressive (Experienced)
ORB Period: 30 minutes
Signal Time: 1100 (8:00 AM PT)
Min Confidence: 40%
Strike Distances: 0.55 / 0.65 / 0.75
Important Notes
This indicator does not guarantee profits. It provides a systematic framework for trade selection and management.
Paper trade first. Test the indicator on historical data and paper trade before using real capital.
Position sizing matters. Never risk more than you can afford to lose on any single trade.
Exits are suggestions. Use the exit signals as guidance, but always apply your own judgment.
Market conditions vary. The indicator performs best in normal volatility environments. Use extra caution during major news events, FOMC days, and earnings season.
SPX/SPY focused. While the indicator may work on other instruments, it was designed specifically for SPX 0DTE options trading.
Version History
v3.0
Added 45/60 minute ORB options
Added configurable signal time (8:00-9:00 AM PT)
Added stretched detection (VWAP distance warning)
Added Prior Day High/Low as scoring factor
Iron Condor strikes now centered on current price (symmetric risk)
Split table UI (left: position, right: factors)
PDH/PDL reference for strike adjustments
Credits
Developed for the 0DTE SPX options trading community. Inspired by SMB Capital's ORB methodology, VWAP analysis techniques, and real-world credit spread trading experience.
Disclaimer: This indicator is for educational and informational purposes only. It is not financial advice. Trading options involves substantial risk of loss and is not suitable for all investors. Past performance is not indicative of future results.
Crypto MMFCrypto MMF Indicator:
The Crypto Money Flow (MMF) indicator represents an advanced technical analysis tool specifically designed for cryptocurrency markets. This document outlines the logical foundation for its component integration, explains the synergistic mechanisms between its constituent elements, and provides practical implementation guidance without making unrealistic performance claims.
Integration Rationale
Volume-Weighted Momentum Analysis
The primary integration rationale combines price momentum with trading volume—two fundamental market dimensions frequently analyzed in isolation. Traditional momentum oscillators like RSI measure price velocity but ignore transaction volume, potentially misrepresenting conviction behind price movements. By multiplying price changes by corresponding volume, the indicator creates a conviction-weighted momentum measure that distinguishes between high-volume breakouts and low-volume price fluctuations.
The theoretical foundation for this integration stems from market microstructure theory, which posits that volume accompanies informed trading. In cryptocurrency markets—where volatility is pronounced and manipulation attempts occur—volume confirmation provides valuable filtering of meaningful price movements from noise.
Multi-Timeframe Momentum Convergence
The second integration layer incorporates higher timeframe analysis, acknowledging that markets function across temporal hierarchies. While shorter timeframes offer precision for entry and exit timing, longer timeframes establish directional bias and filter out insignificant counter-trend movements. This multi-timeframe approach follows established technical analysis principles that prioritize trend alignment across time horizons.
This integration is particularly relevant for cryptocurrency traders, as these markets exhibit strong momentum characteristics where higher timeframe trends often dominate shorter-term fluctuations. The higher timeframe component serves as both a trend filter and early warning system for momentum divergences.
Component Synergy Mechanism
Core Calculation Components
Price-Volume Integration Engine
The indicator begins by calculating the average of open, high, low, and close prices (OHLC4), providing a balanced price representation less susceptible to intra-period anomalies. This value undergoes differencing to establish direction, then multiplies by volume to create volume-weighted momentum values. This transformation produces two separate data streams: upward volume-weighted momentum and downward volume-weighted momentum.
Exponential Smoothing Application
Both momentum streams undergo exponential smoothing using Wilder's Relative Moving Average methodology. This approach applies greater weight to recent observations while maintaining memory of historical patterns, striking an optimal balance between responsiveness and noise reduction. The smoothed upward and downward momentum values create a ratio representing the relative strength between buying and selling pressure.
Normalization Process
The momentum ratio undergoes mathematical normalization to produce a bounded oscillator ranging from 0 to 100. This normalization enables consistent interpretation across different market conditions, timeframes, and cryptocurrency pairs, establishing standardized overbought and oversold thresholds.
Multi-Timeframe Synchronization System
Hierarchical Timeframe Calculation
The indicator dynamically determines appropriate higher timeframes based on user-defined multipliers and current chart intervals. This automated calculation eliminates manual timeframe selection errors while ensuring logical temporal relationships between analyzed periods.
Cross-Timeframe Data Retrieval
A secure data retrieval mechanism accesses higher timeframe momentum calculations without introducing future bias or repainting. This process maintains data integrity while enabling direct comparison between current and higher timeframe momentum conditions.
Higher Timeframe Smoothing Layer
An additional exponential moving average smooths the higher timeframe data, reducing noise and creating a stable reference signal for divergence analysis. This smoothing parameter is independently adjustable, allowing users to balance sensitivity and stability according to their trading style.
Signal Generation Framework
Threshold-Based Zone Analysis
The indicator establishes three operational zones based on statistical observations of momentum extremes:
Neutral zone (25-75): Represents balanced market conditions
Lower extreme zone (0-25): Indicates potential oversold conditions
Upper extreme zone (75-100): Indicates potential overbought conditions
These threshold levels derive from empirical observations of momentum oscillator behavior in trending and ranging cryptocurrency markets, though optimal values may vary across different market regimes.
Conditional Signal Categorization
The system monitors four distinct momentum conditions:
Initial extreme readings: Momentum enters extreme zones without confirmation
Confirmed extremes: Smoothed momentum follows into extreme zones
Multi-timeframe alignment: Current and higher timeframe momentum move in concert
Multi-timeframe divergence: Current and higher timeframe momentum diverge
Each condition category carries different interpretive implications, with stronger signals emerging when multiple conditions converge.
Practical Implementation Guidelines
Functional Applications
Trend Confirmation Protocol
When price trends directionally with momentum maintaining consistent readings above or below the midpoint (50), and higher timeframe momentum confirms the direction, this suggests sustainable trend conditions. The volume-weighting component further validates whether significant trading activity supports the price movement.
Divergence Detection Methodology
Three divergence types merit monitoring:
Classic divergence: Price reaches new extremes while momentum fails to confirm
Hidden divergence: Price retraces within a trend while momentum suggests trend continuation
Timeframe divergence: Momentum moves opposite directions across timeframes
Divergence analysis proves most reliable when occurring in conjunction with other technical factors such as support/resistance levels or chart patterns.
Zone-Based Risk Assessment
The oscillator's bounded nature facilitates structured risk assessment:
Extreme zone entries: Higher potential reward but require confirmation
Neutral zone movements: Lower signal clarity but potentially favorable risk-reward ratios
Zone transitions: Often precede accelerated price movements
Parameter Configuration Philosophy
Core Parameter Settings
The default parameters balance responsiveness and reliability across diverse cryptocurrency market conditions. The 14-period calculation length aligns with conventional momentum oscillator standards, providing sufficient data for meaningful smoothing while maintaining sensitivity to recent market developments.
Multi-Timeframe Multiplier Selection
The default 3x multiplier creates meaningful temporal separation without introducing excessive lag. This multiplier proves particularly effective for swing trading horizons, though position traders may benefit from larger multipliers while shorter-term traders might reduce this value.
Smoothing Parameter Considerations
Dual smoothing parameters (primary and higher timeframe) allow independent adjustment of sensitivity. More volatile cryptocurrency pairs typically benefit from increased smoothing, while less volatile conditions may permit reduced smoothing for earlier signal generation.
Interpretation Protocol
Step 1: Momentum Context Assessment
Begin analysis by determining the current momentum context:
Absolute level relative to threshold zones
Direction and velocity of recent momentum changes
Relationship to the midpoint (50) level
Step 2: Timeframe Alignment Evaluation
Compare current and higher timeframe momentum:
Confirm directional alignment for trend trading
Identify divergences for potential reversal scenarios
Assess convergence strength for position sizing decisions
Step 3: Volume Confirmation Analysis
Evaluate whether recent volume patterns support momentum readings:
Extreme momentum with declining volume: Caution warranted
Neutral momentum with increasing volume: Potential breakout precursor
Confirmed momentum with expanding volume: Higher conviction signal
Step 4: Market Context Integration
Correlate momentum readings with broader market context:
Correlated cryptocurrency movements
Overall market capitalization trends
Relevant news or fundamental developments
Originality and Differentiation
Innovative Design Elements
Volume-Integrated Momentum Calculation
Unlike conventional momentum oscillators that analyze price in isolation, this indicator integrates volume as a conviction multiplier. This integration follows logical market principles where volume validates price movements, creating a more robust momentum assessment particularly valuable in cryptocurrency markets where volume manipulation attempts occasionally occur.
Dynamic Timeframe Adaptation
The automated timeframe calculation system eliminates manual timeframe selection while ensuring logical temporal relationships. This approach reduces user error and maintains consistency across different charting intervals and trading instruments.
Multi-Layer Confirmation Framework
The indicator employs three analytical layers: raw momentum, smoothed momentum, and higher timeframe momentum. This layered approach provides graduated confirmation levels, allowing traders to distinguish between preliminary signals and confirmed conditions.
Theoretical Foundations
The indicator's design incorporates elements from multiple technical analysis disciplines:
Momentum analysis principles from oscillator theory
Volume-price relationships from market microstructure
Multi-timeframe analysis from hierarchical trend theory
Statistical normalization from quantitative analysis
This interdisciplinary approach creates a comprehensive tool addressing multiple dimensions of market analysis rather than focusing on isolated phenomena.
Risk Management Integration
Signal Quality Assessment
The indicator facilitates signal quality evaluation through multiple confirmation requirements:
Primary momentum extreme reading
Smoothed momentum confirmation
Higher timeframe alignment or constructive divergence
Supporting volume characteristics
Signal strength varies with the number of confirmed elements, enabling proportionate position sizing and risk allocation.
False Signal Mitigation
Several design elements reduce false signal susceptibility:
Volume-weighting filters low-conviction price movements
Exponential smoothing reduces noise-induced fluctuations
Multi-timeframe analysis filters counter-trend movements
Graduated confirmation requirements prevent premature action
These mechanisms collectively improve signal reliability while acknowledging that no technical indicator eliminates false signals entirely.
Implementation Considerations
Cryptocurrency Market Specificity
The indicator incorporates design elements particularly relevant to cryptocurrency markets:
24/7 market operation accommodation
High volatility regime compatibility
Volume data availability considerations
Cross-market correlation awareness
These adaptations enhance effectiveness in cryptocurrency trading environments while maintaining applicability to traditional financial markets.
Customization Guidelines
Users may adjust parameters based on:
Trading timeframe (scalping, day trading, swing trading)
Cryptocurrency pair characteristics (volatility, volume profile)
Risk tolerance and trading style
Market regime (trending, ranging, transitional)
Empirical testing across different parameter sets and market conditions provides the most reliable customization guidance.
Conclusion
The Crypto MMF indicator represents a logically integrated analytical tool combining volume-weighted momentum analysis with multi-timeframe perspective. Its component synergy creates a comprehensive market assessment framework while maintaining practical implementation feasibility. Users should integrate this tool within broader trading methodologies, combining its signals with additional technical, fundamental, and risk management considerations.
The indicator's value derives from its structured approach to market analysis rather than predictive capabilities. By providing organized information about momentum, volume relationships, and timeframe interactions, it supports informed trading decisions within appropriate risk parameters.
AI Adaptive Trend Navigator Echo EditionAI Adaptive Trend Navigator
This is an advanced trend-following system optimized for high-volatility index futures (TX). Built upon the LuxAlgo clustering framework, this version introduces several critical enhancements to meet professional trading standards:
1. State Consistency Iteration Enhanced the underlying logic for dynamic arrays and User-Defined Types (UDTs) to ensure stable "State Persistence." This fix eliminates logic gaps during real-time price fluctuations, ensuring that historical backtests perfectly align with live execution.
2. Adaptive Factor Tuning (K-means) The system simulates dozens of parameter paths in real-time, using K-means clustering to automatically select the optimal factor suited for the current market volatility.
3. Advanced Practical Filters
Dynamic Buffer Strategy: Filters out market noise during consolidation and early session volatility.
Confidence Threshold: Only triggers signals when the AI performance score meets the required quality.
Cooldown Logic: Prevents rapid signal flipping in choppy markets.
🧠 開發理念：將 AI 自適應力帶入台指期實戰 針對台指期（TX）高波動特性開發，透過機器學習演算法動態尋優，解決傳統指標參數固定的滯後性。
✨ Echo 版核心優化點
數據連續性迭代：底層邏輯優化，確保訊號在即時盤勢中穩定不跳斷，回測與實戰高度吻合。
自適應動態尋優：透過 K-means 聚類自動鎖定當前最佳 ATR 因子。
實戰多重濾網：包含空間緩衝區 (Buffer) 與信心門檻，大幅提升訊號品質。
📊 視覺說明
🚀 Rocket: AI confirms trend momentum.
⚡ Lightning: Trend exhaustion or reversal warning.
⚠️ Disclaimer: For educational and technical analysis purposes only.
TSM RSI + Supertrend + High Volume Combo (TSM 2018)RSI + Supertrend + High Volume Combo
This TradingView indicator combines trend direction, momentum, and participation strength into a single confirmation-based trading system.
Weekly Bias - High/Low/Close (Clean No Connections)Gives you the weekly bias candle on your 4 hour closing NY trading hours
Apexflow PRO: Anchored Fair Value + Regime Readiness [v6]## Apexflow PRO — Anchored Fair Value Cloud + Regime Readiness (Non-Repaint Signals)
**Apexflow PRO** is an overlay indicator built to answer one core trading question:
**“Is price currently cheap, fair, or expensive — and is the market in a regime where that matters?”**
Instead of throwing random signals at you, Apexflow PRO combines **anchored fair value**, **market regime detection**, **flow participation**, and **optional cross-market confirmation** into a single, easy-to-read system with a **Readiness Score (0–100)** and clean, non-spam alerts.
---
# What you see on the chart
### 1) Anchored Fair Value Cloud (the “tunnel”)
This is the heart of the indicator.
* **Midline = Anchored VWAP fair value**
* Resets by **Day / Week / Month** (you choose).
* **Cloud = 3-layer adaptive tunnel**
* **Core (blue)** = “fair pricing zone”
* **Upper red layers** = increasingly stretched/expensive
* **Lower teal layers** = increasingly stretched/cheap
**Interpretation (beginner-simple):**
* **Inside blue core** → “priced fairly”
* **Below the tunnel** → “cheap / discounted”
* **Above the tunnel** → “expensive / premium”
* **Outer layers** → “extreme stretch” zones (higher snap-back risk)
### 2) Regime label (context filter)
Apexflow labels the market environment as:
* **TRENDING**
* **CHOP/RANGE**
* **VOLATILE**
* **BREAKOUT**
This prevents “using the right tool in the wrong market.”
Example: mean reversion works better in chop; trend continuation works better in trend/breakout regimes.
### 3) Readiness Score (0–100)
This is the **strength of confluence** between the engines.
* Low score = mixed signals / noise
* High score = alignment / higher-quality conditions
### 4) BUY / SELL signals (non-spam)
Signals trigger only when:
* **Readiness crosses above your threshold** (first bar only)
* **Regime filter agrees**
* **Structure agrees** (reclaim midline / lose midline OR location within the tunnel)
* **Cooldown** prevents rapid repeats
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# What’s behind it (advanced, but readable)
Apexflow PRO uses four engines:
## A) Anchored Fair Value Engine (core)
A true anchored VWAP-style accumulator:
* Aggregates **price × volume** and **volume**
* Resets on your chosen anchor period
* Produces a stable “fair value spine”
### Stable Mode (important)
When **Stable Mode = ON**, Apexflow **does not drift intrabar** on live candles.
The anchored midline and tunnel update on confirmed bar closes to avoid the classic “wiggling anchor” problem.
## B) Regime Engine (Trend/Chop/Breakout/Volatile)
Uses multiple independent measures (not just one):
* **ADX** = trend strength
* **Efficiency Ratio (ER)** = trend efficiency vs chop
* **BB Width %Rank** = compression / squeeze context
* **ATR %Rank** = volatility regime context
This produces both a **regime label** and a **regime confidence score** used in the composite.
## C) Flow Engine (participation + intent proxy)
A blended participation model:
* **Signed candle pressure** (body vs range scaled by volume)
* **Wick rejection bias** (rejection strength)
* **RVOL** (relative volume lift)
This helps distinguish “real moves” from low-quality drifts.
## D) Cross-Market Confirmation (optional)
A light macro filter to reduce false positives:
* **Equities:** VIX (inverse risk)
* **Forex:** DXY (inverse USD pressure)
* **Crypto:** BTC.D (risk tone proxy)
If the cross-market symbol is unavailable, the script **falls back gracefully** and automatically reduces its weight.
---
# How to use (simple rules)
## Trend Following mode (default)
Best when you want to ride directional moves.
**BUY idea:**
* Readiness crosses above threshold
* Regime is **TRENDING** or **BREAKOUT**
* Price is reclaiming the midline OR is occurring from the lower half of tunnel
**SELL idea:**
* Same logic in reverse (lose midline / upper half)
**Practical beginner rule:**
> In Trend mode, treat the midline like “bias.”
> If price is above the midline and score is strong → favor longs.
> If below and score is strong → favor shorts.
## Reversion mode
Best in chop/range markets.
* Signals are biased toward **mean reversion**
* Use tunnel extremes as “stretch zones”
* Targets often gravitate back toward the **midline / inner bands**
---
# Best settings & timeframes (starting points)
These are practical defaults (not magic):
### Crypto
* 15m / 1H / 4H
* Anchor Reset: **Week**
* Threshold: **60–70**
### Equities / Indices
* 5m / 15m / 1H
* Anchor Reset: **Day or Week**
* Threshold: **60–75**
### Forex
* 15m / 1H
* Anchor Reset: **Day**
* Threshold: **60–75**
If signals feel too frequent: raise **Threshold** or increase **Cooldown**.
If signals feel too rare: lower **Threshold** slightly or reduce **Cooldown**.
---
# Alerts
Included:
* **Apexflow PRO Long**
* **Apexflow PRO Short**
These fire only when the indicator triggers a confirmed, threshold-cross event (designed for clean alerting).
---
# Notes & limitations (honest)
* This is not a “predict the future” tool — it’s a **context + fair value + confluence** system.
* Cross-market filters are helpful, but not universal. If you trade niche assets, consider turning cross-market OFF or customizing the reference symbol.
* Always use risk management. A strong score is not a guarantee.
Apex Wallet - Opening Range Breakout (ORB) & Session LevelsOverview The Apex Wallet Opening Range Breakout (ORB) is a professional intraday tool designed to capture the volatility of the first minutes of the trading session. By defining a clear range at the market open, this indicator provides traders with high-probability breakout levels and psychological targets based on mathematical extensions of the initial move.
Core Mechanics
Customizable Session: Easily define your preferred opening range duration (e.g., first 5, 15, or 30 minutes) and session start time.
Dynamic Timezone Adjustment: Includes a built-in UTC offset feature to ensure session times align perfectly with your local market, regardless of where you are trading from.
Automated Level Tracking: The script automatically identifies and locks the high and low of the specified opening period.
Key Features:
Psychological Mid-Lines: Calculates the 50% median of the range (ORB Mid) as a pivot point for trend strength.
Advanced Volatility Extensions: Plots internal and external targets (High+Mid, Low+Mid) to identify potential exhaustion zones or secondary breakout levels.
Intraday Optimization: Designed specifically for low-timeframe traders (1m to 15m) looking for clear execution zones at the bell.
How to use: Wait for the opening range to be established. A breakout above the ORB High often indicates bullish dominance, while a break below the ORB Low suggests bearish momentum. Use the internal extension lines as take-profit targets or areas to move your stop-loss to breakeven.
