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.
Bande e canali
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".
WPNR + ATR Bands + MACDAS StrategyThis indicator is a hybrid approach that blends momentum, volatility, and trend following into one. It's designed to filter out market "noise" and capture high-probability turning points.
Components Used: Williams %R (WPNR): Captures moments when the price crosses above the oversold (below -80) region (Long) or below the overbought (above -20) region (Short).
ATR Bands: Measure price volatility. They prevent spurious breaks by ensuring signals only activate when the price is within a reasonable range (within the bands).
MACDAS: This is a MACD-based trend filter. It only allows trades to be opened in the direction of the main trend (Buy when above the MACD signal line, Sell when below).
How to Use? Buy (Long): W%R must cross above the 80 level, the price must hold above the lower ATR band, and MACD must be in the positive zone (bullish).
Sell (Short): W%R should cross below the 20 level, price should remain below the upper ATR band, and MACD should be in the negative (bearish) zone
Note: This strategy is optimized for 15-minute and 1-hour charts. Always remember to use a stop-loss order.
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.
RSI + Bollinger Bands RODNEY BORN STYLEThis is a script I created that wraps Bollinger Bands around an RSI.
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
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.
TSM RSI + Supertrend + High Volume Strategy (BACKTESTED) 1987RSI + 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.
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.
TSM RSI + Supertrend Combo 202616This script is a trend-confirmation trading indicator built with Pine Script v5, combining the power of Supertrend (trend direction) and RSI (momentum strength) to generate high-probability BUY and SELL signals.
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.
TSM RSI < 30 BUY | RSI > 70 SELL (One-Time)This script is a trend-following indicator built using Pine Script v5, designed to identify major market direction changes using Daily Moving Averages (DMA). It is simple, reliable, and ideal for positional, swing, and trend-filter trading.
DMA 50 & 200 Cross Signals TSM 202603This script is a trend-following indicator built using Pine Script v5, designed to identify major market direction changes using Daily Moving Averages (DMA). It is simple, reliable, and ideal for positional, swing, and trend-filter trading.
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
BTC - Power Law 1.5: Dynamic 50/50 Decay OVERVIEW
Most Bitcoin models treat the asset as if it exists in a vacuum of infinite exponential growth. The classical Power Law (v1.0) was a groundbreaking start, but as Bitcoin matures into a multi-trillion dollar institutional asset, our models must account for the laws of physics and liquidity. The Power Law 1.5: Dynamic 50/50 Decay is a second-generation structural engine. It doesn't just draw a line; it calculates the structural "Center of Gravity" of Bitcoin’s adoption curve while accounting for the natural maturation (decay) of the network’s growth speed.
THE MATHEMATICAL BACKBONE: QUANTILE MEDIAN CALCULATION
The "Fair Value" line (blue) is derived using a Log-Log Linear Regression focused on the 50th percentile (Median). The script first transforms the price and the time (days since the Genesis Block) into a logarithmic scale. It then calculates a power-law constant by finding the Absolute Least Deviation across the entire historical dataset since 2011. Specifically, it uses the formula: Price = 10^(Intercept + Slope * log10(Days)) . To ensure the line is a true median, the script calculates the Median Offset of every historical price point from the raw regression line. By shifting the intercept by this median value, we guarantee that exactly 50% of all weekly bars fall above the curve and 50% fall below it, creating a robust, non-biased structural center.
THE ALPHA SHADOW: DYNAMIC EXPONENT PROJECTION
Unlike standard power-law projections that rely on a static slope, the "Alpha Shadow" (the projection extending from the blue backbone) utilizes a Time-Varying Exponent Model . The model acknowledges that Bitcoin's growth speed—the exponent 'b'—is a decaying function of time, reflecting the diminishing returns of a maturing asset. The script recalculated the Instantaneous Slope on every single bar using the formula: Future_Slope = Initial_Slope - (Decay_Rate * log10(Total_Days_from_Genesis)) . While the Decay Rate (default 0.045) serves as a structural sensitivity constant, its application ensures the growth speed is a dynamic variable rather than a fixed number. Each segment of the dashed green "Shadow" is a unique power-law arc calculated for its specific future time window. This ensures the projection isn't just a straight line drawn on a log chart, but a mathematically tethered curve that "feels" the weight of increasing market capitalization and respects the reality of global liquidity constraints as we approach 2029.
HOW TO READ THE CHART
• The Backbone (Solid Blue): This is the 50/50 Fair Value. When price is below this line, Bitcoin is structurally "cheap." When price is far above it, the asset is in a state of cyclical expansion.
• The Alpha Shadow (Green): This is the mathematical projection of the current curve into 2029. It shows the path of "Fair Value" as the network continues to mature.
• The Regime Audit (Dashboard): A real-time table in the middle-right of your chart provides an audit of the model's integrity, including the current slope (b) and the projected Fair Price for Jan 1, 2029.
WHY THIS IS "FRESH"
Most open-source Power Law scripts on TradingView utilize a Static Linear Regression —calculating a single constant slope that is applied equally to 2011 and 2029. Furthermore, common community models often rely on "Outer Band" fitting (connecting historical cycle peaks to cycle lows). While visually appealing, these methods can be highly sensitive to "Black Swan" outliers and often assume Bitcoin’s growth velocity is a permanent constant.
This script stands out by introducing a Maturation Framework . Instead of fitting to volatile extremes, we anchor the logic to a 50/50 Quantile Median , creating a backbone that is mathematically centered regardless of cyclical noise. By then applying a Dynamic Decay Factor to the growth exponent, we move away from the "static bands" approach and toward a model that respects the physical reality of a maturing, multi-trillion-dollar asset class. This provides a structurally grounded, institutional-grade view of Bitcoin’s trajectory that accounts for the diminishing returns inherent in global adoption.
DISCLAIMER
This script is for educational and macro-analytical purposes only. It does not constitute financial advice. The 2029 projection is a mathematical extrapolation based on historical data and decay constants; it is not a guarantee of future price action.
TAGS
bitcoin, powerlaw, macro, regression, fairvalue, btc, projection, quantitative, math, structural, Rob Maths, robmaths, Rob_Maths
RSI Buy Sell Signals (Fixed) TSMRSI Buy–Sell Signals Indicator is a simple and effective momentum-based tool designed for scalping and intraday trading. It uses the Relative Strength Index (RSI) to identify high-probability BUY and SELL opportunities directly on the price chart.
🔹 How It Works
BUY Signal
Triggers when RSI crosses above 30 (oversold recovery) or above 50 (bullish momentum).
SELL Signal
Triggers when RSI crosses below 70 (overbought reversal) or below 50 (bearish momentum).
Signals are non-repainting and appear at candle close.
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Weekly Bias - High/Low/Close (Clean No Connections)Gives you the weekly bias candle on your 4 hour closing NY trading hours
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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!
