btc Top-Bottom Signals Main Chart IndicatorComprehensive Top-Bottom Signal Indicator
This indicator represents an original synthesis of multiple proven technical analysis concepts into a single, cohesive system. What makes it unique:
Multi-Timeframe Convergence: Unlike single-timeframe indicators, this script integrates signals from three distinct moving averages (SMA200, WMA200, VWMA700) to provide a comprehensive view of market structure.
Dynamic Scoring Algorithm: Instead of relying on individual indicators, it employs a weighted scoring system that evaluates four key market dimensions simultaneously, reducing false signals through consensus.
Volume-Weighted Trend Detection: The inclusion of VWMA700 (700-day Volume Weighted Moving Average) provides superior trend identification compared to simple moving averages by accounting for trading volume intensity.
Anomaly Detection System: The script identifies extreme market conditions through quantifiable deviation thresholds combined with volume confirmation, highlighting potential reversal zones before traditional indicators.
Visual Hierarchy Design: The color-coded system (K-line coloring, moving average colors, signal labels) creates an intuitive visual language that traders can interpret at a glance.
What It Does & How It Works
Core Components:
Trend Identification System:
SMA200: Standard 200-day simple moving average (colored green/red based on price position)
WMA200: 200-day weighted moving average (colored lime/orange with circle markers)
VWMA700: 700-day volume-weighted moving average (purple line) - the primary trend filter
Multi-Dimensional Scoring Engine:
The algorithm calculates scores (0-100) for four market aspects:
Price Deviation: Distance from SMA200, measuring trend extremity
RSI Momentum: Standard RSI with customizable overbought/oversold levels
Volume Activity: Current volume relative to 20-day average
Volatility: ATR percentage, measuring market fear/greed
Signal Generation Logic:
Top Signals: Trigger when Top Score ≥ 75 AND RSI ≥ 70 (configurable)
Bottom Signals: Trigger when Bottom Score ≥ 25 AND RSI ≤ 30 (configurable)
Each signal combines multiple confirming conditions to reduce noise
Anomaly Detection:
Buy Anomalies: Price below VWMA700 by ≥2% (configurable) with volume ≥1.5x average
Sell Anomalies: Price above VWMA700 by ≥2% (configurable) with volume ≥1.5x average
Anomalies are visualized with colored columns above/below price action
Visual Feedback System:
K-line Coloring: Orange when above VWMA700, Blue when below
Column Bars: Green buy anomalies (below chart), Red sell anomalies (above chart)
Signal Labels: "SELL" (red, above bars) / "BUY" (green, below bars)
Trading Methodology & Implementation
Primary Trading Styles Supported:
Trend-Following with Mean Reversion Filters:
The VWMA700 serves as the primary trend filter (bullish above, bearish below)
Signals are only generated when price deviates significantly from long-term mean
This combines trend following with mean reversion principles
Multi-Timeframe Momentum Convergence:
Short-term (WMA200), medium-term (SMA200), and long-term (VWMA700) alignment
Signals gain strength when multiple timeframes confirm direction
Volume-Confirmed Reversal Detection:
Anomaly system specifically targets high-volume deviation points
These often represent institutional accumulation/distribution zones
Composite Indicator Approach:
Instead of single indicators (like pure RSI or MACD), it uses weighted consensus
This reduces individual indicator weaknesses through diversification
Specific Implementation of Trend Identification Methods:
Triple Moving Average System: Combins simple, weighted, and volume-weighted averages
RSI Divergence Logic: Built-in divergence detection (though simplified in current version)
Bollinger Band Concept Adaptation: Uses statistical deviation from long-term mean (VWMA700)
Volume Spread Analysis: Anomaly detection incorporates volume/price relationship
Market Profile Principles: VWMA700 approximates long-term value area
How to Use This Indicator
For Position Traders (Weeks to Months):
Primary Filter: Use VWMA700 as your main trend determinant
Entry Signals: Look for BUY signals when price is below VWMA700 (blue K-lines) with green anomaly bars
Exit Signals: Consider SELL signals when price is above VWMA700 (orange K-lines) with red anomaly bars
Position Sizing: Larger positions when signals align with long-term trend
For Swing Traders (Days to Weeks):
Trend Context: Only take BUY signals in orange K-line zones (above VWMA700) and SELL signals in blue zones
Confirmation: Wait for anomaly bars to confirm signal strength
Risk Management: Use recent swing highs/lows as stop-loss levels
For Market Analysis:
Market State Assessment:
Orange K-lines + Above VWMA700 = Strong bull trend
Blue K-lines + Below VWMA700 = Strong bear trend
Mixed colors + Near VWMA700 = Range-bound/transition
Institutional Activity Detection: Anomaly bars often correspond to smart money moves
Core Calculation Logic & Philosophy
The Weighted Consensus Model:
The indicator's scoring system is based on the principle that no single metric reliably predicts market turns, but consensus across multiple unrelated metrics significantly improves probability. Each component contributes:
Price Score (35%): Measures how far price has extended from its 200-day mean
Philosophy: Extreme deviations tend to revert
Calculation: ((Price - SMA200)/SMA200 * 100 + 30) * 1.5
RSI Score (35%): Standard momentum with custom thresholds
Philosophy: Momentum extremes often precede reversals
Calculation: (RSI - 30) * 1.5
Volume Score (15%): Current volume relative to recent average
Philosophy: Volume confirms price movements
Calculation: (Volume Ratio - 0.5) * 40
Volatility Score (15%): ATR as percentage of price
Philosophy: High volatility often marks turning points
Calculation: (ATR/Close * 100) * 20
The VWMA700 as "True North":
The 700-day Volume Weighted Moving Average serves as the primary reference frame because:
It smooths out 3+ years of market data
Volume-weighting gives more importance to high-conviction trading periods
It represents a long-term consensus of fair value
Anomaly Detection Philosophy:
The anomaly system is based on the principle that extreme price movements accompanied by abnormal volume represent potential turning points. This combines:
Statistical deviation (price distance from VWMA700)
Market participation confirmation (volume spikes)
Visual separation from normal price action (column bars)
Parameter Adjustment Guide
For Different Market Conditions:
High-Volatility Crypto (BTC, ETH):
Top Threshold: 75-80
Bottom Threshold: 20-25
Buy/Sell Threshold: 2.0-2.5%
Volume Multiplier: 1.5-2.0
Lower-Volatility Assets:
Top Threshold: 70-75
Bottom Threshold: 25-30
Buy/Sell Threshold: 1.5-2.0%
Volume Multiplier: 1.3-1.7
During High-Fear Markets:
Increase Bottom Threshold to 30+
Lower Volume Multiplier to 1.3-1.5
This reduces false bottom signals during capitulation
Timeframe Recommendations:
Daily Charts: Primary recommended timeframe
4-Hour Charts: Good for shorter-term positions
Weekly Charts: For very long-term perspective
Risk Management Integration
This indicator is designed to be used with proper risk management:
Signal as Confluence, Not Gospel: Use signals as one of 3-5 confirming factors
Position Sizing: Stronger signals (multiple confirmations) justify larger positions
Stop Placement: Recent swing extremes or VWMA700 itself as dynamic stop
Timeframe Alignment: Strongest when multiple timeframes confirm
Unique Value Proposition
What sets this indicator apart from thousands of others on TradingView:
Holistic Approach: Combines trend, momentum, volume, and volatility in one system
Clear Visual Language: Color-coded system allows quick market assessment
Anomaly Focus: Specifically targets statistically significant market extremes
Long-Term Perspective: VWMA700 provides crucial long-term context often missing in crypto indicators
Customizable Sensitivity: All key parameters adjustable for different market conditions
This script represents a serious tool for traders who understand that market edges come from combining multiple uncorrelated approaches rather than seeking a single "magic" indicator.
Cycles
Darvas Box Strategy (Long & Short) + Bollinger Filter - XabierLDarvas Box Strategy with Bollinger Bands Filter
📊 Overview
A breakout strategy based on the classic Darvas Box method, enhanced with Bollinger Bands proximity filter to reduce false signals. This strategy identifies key support and resistance levels (the "box") and takes trades when price breaks out of these zones, but only when price is near the Bollinger Bands moving average to ensure quality entries.
Fully compatible with Bitget Webhook for automated trading.
🎯 How It Works
Entry Logic
LONG Entry:
Price breaks above the Top Box (resistance level)
Price is within X% distance from Bollinger Bands moving average
No existing position
SHORT Entry:
Price breaks below the Bottom Box (support level)
Price is within X% distance from Bollinger Bands moving average
No existing position
Cryptocurrency Advanced Sentiment Indicator v6.0 Cryptocurrency Advanced Sentiment Indicator v6.0 + Abnormal Volume Detection
🌟 ORIGINAL CONTRIBUTION & UNIQUE FEATURES
This is not just another sentiment indicator - it's a multi-dimensional market intelligence system that combines 16 distinct analytical methodologies into a unified framework. What makes this script truly original is its:
Hybrid Sentiment Engine: Unlike conventional indicators that rely on single metrics (like RSI or MACD alone), this system calculates sentiment from 11 simultaneous dimensions, each weighted according to market impact.
Proprietary Top/Bottom Detection Algorithm: Instead of basic overbought/oversold signals, it employs a multi-confirmation escape top/bottom system that requires alignment across price, volume, whale activity, divergence patterns, and market breadth.
Advanced Volume Analytics: Beyond simple volume spikes, it implements three-tier volume analysis:
Abnormal Volume Detection (statistical percentile-based)
Volume Profile Analysis (value area positioning)
Whale Activity Recognition (institutional footprint identification)
Gap Intelligence System: A comprehensive gap analysis that doesn't just identify gaps but:
Classifies them by size and significance
Tracks fill status with dynamic thresholds
Correlates gap events with volume anomalies
Market Microstructure Simulation: Despite TradingView's API limitations, the script simulates order flow analysis and market profile concepts using available price/volume data.
🔍 WHAT IT DOES & HOW IT WORKS
CORE FUNCTIONALITY
This script functions as a complete market state analyzer that:
Quantifies Market Sentiment on a -100 to +100 scale through weighted aggregation of:
Technical Indicators (RSI, MACD, Bollinger Bands, ADX)
Volume Dynamics (abnormal volume, volume trends, cluster analysis)
Price Structure (support/resistance proximity, pattern recognition)
Market Internals (breadth, velocity, acceleration)
Behavioral Metrics (simulated fear/greed, whale tracking)
Detects Critical Market Events including:
Sentiment Extremes (overheat/oversold conditions)
Institutional Activity (whale accumulation/distribution)
Gap Events (breakaway/runaway/exhaustion gaps)
Volume Anomalies (statistical outliers in trading activity)
Generates Actionable Signals across multiple timeframes:
Trend Identification (EMA alignment with volume confirmation)
Reversal Anticipation (multi-indicator divergence detection)
Breakout Confirmation (price + volume + sentiment convergence)
Risk Assessment (volatility-adjusted position sizing guidance)
IMPLEMENTATION METHODOLOGY
The system operates through five analytical layers:
Layer 1: Data Collection & Normalization
Multi-timeframe EMA analysis (current + 1-hour confirmation)
Volume normalization across 20/50/100 period moving averages
Price position calculation relative to key historical levels
Layer 2: Indicator Synthesis
Weighted Composite Scoring: Each of 11 sentiment dimensions contributes 5-15% to the final score
Dynamic Adjustments: Top detection signals can override bullish/bearish bias when extreme conditions are detected
Smoothing Algorithms: Exponential and simple moving averages prevent whipsaw signals
Layer 3: Pattern Recognition
Candlestick Pattern Detection: Engulfing patterns, hammers, hanging men
Divergence Identification: Price/RSI and price/MACD misalignment
Volume Pattern Analysis: Clustering, spike sequences, distribution curves
Layer 4: Statistical Analysis
Percentile Ranking: Volume compared to 50-period lookback
Standard Deviation Analysis: Bollinger Band positioning and squeeze detection
Regression Trends: Volume and price momentum slope calculations
Layer 5: Signal Generation
Multi-condition Triggers: Signals require 3-5 confirming conditions
Confidence Scoring: Each signal includes a 0-100% confidence metric
Hierarchical Prioritization: Escape top/bottom signals override standard buy/sell recommendations
🎯 PRACTICAL USAGE & APPLICATION
FOR TREND FOLLOWERS
This isn't basic trend following. It implements multi-timeframe trend confirmation specifically:
EMA Ribbon Analysis with volume-weighted confirmation
ADX-filtered Trends that ignore movements below 20 ADX
Velocity-accelerated Trends that identify strengthening/weakening momentum
Breadth-confirmed Trends requiring multiple indicator alignment
FOR MEAN REVERSION TRADERS
The system employs three distinct mean reversion methodologies:
Statistical Mean Reversion: Bollinger Band positioning with RSI confirmation
Sentiment Extreme Reversion: Composite sentiment at ±70+ levels with divergence
Volume-driven Reversion: Abnormal volume at key support/resistance levels
FOR BREAKOUT TRADERS
Breakout signals require triple confirmation:
Price Break above/below 20-period high/low
Volume Expansion > 2x average
Sentiment Alignment >20/-20 sentiment score
FOR INSTITUTIONAL FLOW TRACKERS
Unique whale detection using volume-profile analysis:
Accumulation Patterns: Rising price with increasing volume in middle RSI range
Distribution Patterns: Falling price with increasing volume in middle RSI range
Huge Volume Trades: 5x+ average volume at price extremes
🧠 UNDERLYING PHILOSOPHY & LOGICAL FRAMEWORK
CORE MARKET HYPOTHESES
The Multi-dimensional Market Hypothesis: No single indicator reliably predicts price movement; only the convergence of multiple independent analytical approaches creates edge.
The Volume-Price-Sentiment Trinity: Sustainable moves require alignment between trading volume, price action, and market sentiment. Divergence among these three suggests weak or reversing moves.
The Institutional Footprint Principle: Large players leave identifiable patterns in volume and price behavior that can be systematically detected.
The Sentiment Cycle Theory: Markets move through predictable sentiment cycles from extreme pessimism to extreme optimism, with identifiable transition points.
ALGORITHMIC FOUNDATIONS
The Composite Sentiment Index weights:
15% Whale Activity & Institutional Flow
10% RSI & Momentum Alignment
10% MACD & Trend Structure
10% Fear/Greed & Market Psychology
8% Volume Dynamics & Anomalies
8% Order Flow Simulation
8% Price Pattern Recognition
7% Support/Resistance Positioning
6% Market Profile Analysis
5% Bollinger Band Positioning
13% Distributed among specialized algorithms (gap, top detection, velocity, etc.)
The Escape Top/Bottom Algorithm requires five of seven confirmations:
Market Overheat/Oversold Score > 70%
Price Divergence (RSI + MACD)
Volume Anomaly Detection
Whale Activity Confirmation
Technical Indicator Alignment
Money Flow Direction
Pattern Recognition
📊 VISUAL INTERFACE & INTERPRETATION
COLOR-CODED MARKET STATES
Red (75-100): Extreme Optimism - Consider taking profits
Orange (50-75): Optimistic - Monitor for divergence
Yellow (25-50): Neutral Bullish - Trend continuation likely
Light Green (0-25): Slightly Bullish - Consider entry on pullbacks
Light Blue (-25-0): Slightly Bearish - Consider short on rallies
Blue (-50--25): Bearish - Downtrend established
Purple (-75--50): Pessimistic - Monitor for capitulation
Dark Purple (-100--75): Extreme Pessimism - Consider accumulation
KEY SIGNAL HIERARCHY
🏃♂️ Escape Top / 💰 Bottom Pick Signals (Highest priority - multi-confirmation)
🎯 Strong Buy/Sell Signals (Multiple indicator alignment)
📈 Abnormal Volume Signals (Statistical volume extremes)
🔼 Gap Signals (Breakaway/runaway gaps)
📊 Trend Start/Reversal Signals (EMA/volume/sentiment alignment)
DATA PANELS PROVIDED
Main Dashboard: Current price, sentiment, RSI, volume status, trends
Advanced Analysis: Momentum, volatility, order flow, multi-timeframe confirmation
Signal Summary: Active trading signals with confidence levels
Risk Assessment: Volatility, money flow, key level distances
⚙️ CUSTOMIZATION & PARAMETER ADJUSTMENT
ESSENTIAL SETTINGS FOR DIFFERENT STYLES
For Day Traders:
Reduce sentiment smoothing to 1-2 periods
Enable all signal types
Set abnormal volume threshold to 2.5-3.0x
Enable gap detection with 0.5-1.0% threshold
For Swing Traders:
Increase sentiment smoothing to 3-5 periods
Focus on escape top/bottom and abnormal volume signals
Set key level period to 50-100
Enable volume confirmation for all signals
For Position Traders:
Maximum smoothing (5-10 periods)
Primary focus on top detection and whale activity
Increase huge volume threshold to 6.0-8.0x
Enable all advanced algorithms
⚠️ RISK CONSIDERATIONS & LIMITATIONS
INHERENT LIMITATIONS
Historical Analysis Only: Like all technical indicators, this analyzes past data to project future probabilities.
Crypto Market Specific: Optimized for high-volatility, 24/7 cryptocurrency markets; may require adjustment for traditional assets.
No Fundamental Integration: Does not incorporate news, events, or macroeconomic factors.
Lagging Components: Some elements (like EMAs) inherently lag price action.
OPTIMAL APPLICATION
This system performs best when:
Markets exhibit clear trending behavior
Volume data is reliable and not manipulated
Applied to larger-cap cryptocurrencies with sufficient liquidity
Used as a confirmation tool within a broader trading strategy
🎓 EDUCATIONAL VALUE
Beyond trading signals, this indicator serves as an educational framework that teaches:
How different market factors interact and influence price
The importance of multi-confirmation in trading decisions
How to identify and interpret institutional activity
The relationship between sentiment extremes and market reversals
DISCLAIMER: This tool provides quantitative analysis based on historical data. Past performance does not guarantee future results. Always conduct your own research and risk management. The creator assumes no responsibility for trading decisions made using this indicator.
SessionsThis indicator highlights the New York After Hours and Pre-Market session and visually defines its structure on the chart.
The session runs from 18:00 to 09:30 New York time, covering the full overnight and pre-market trading window leading into the regular cash open.
During this period, the script tracks and marks the high and low of the New York pre-market, allowing traders to clearly see the overnight range that often acts as key liquidity, support, and resistance during the regular trading session.
The session range can be displayed as a shaded background or as a high/low range, depending on user preference.
For clarity and precision, the indicator is visible only on intraday timeframes:
5-minute
30-minute
1-hour
This makes it especially useful for futures, index, and intraday traders who incorporate pre-market structure into their trading plans.
TGS By ShadTGS Levels — Tesla–W.D. Gann Strategy
TGS Levels is a price-geometry indicator designed to map algorithmic decision zones on the chart using principles inspired by W.D. Gann price geometry and Tesla 3-6-9 harmonic structure.
This indicator is not a signal generator.
It provides a structured price map to help traders understand where reactions or breakouts are statistically more likely to occur.
🔹 Core Concept
Markets do not move randomly.
They rotate and expand around harmonic price cycles.
TGS Levels automatically plots a 100-unit price cycle framework (ideal for XAUUSD / Gold) and divides each cycle into hierarchical angles used by institutional and algorithmic trading models.
🔹 Level Hierarchy (Very Important)
TGS uses four types of levels, each with a different purpose:
🔴 SUPER ANGLE (+45)
Primary decision level
Price often shows strong rejection or explosive breakout
Highest importance level
🟥 MAIN ANGLES (+27, +63, +81)
High-probability reaction zones
Used for structured pullbacks, rejections, or continuation confirmation
🟠 SECONDARY ANGLES (+18, +36, +54, +72, +90)
Context & management levels
Expect hesitation, partial profit zones, or stop-tightening areas
Not recommended for direct entries
🟡 MICRO LEVELS (+3, +6, +9)
Liquidity & compression map
Help visualize absorption, stop hunts, and consolidation
For structure awareness only
🔹 What This Indicator Is Used For
✔ Identifying where price is likely to react
✔ Understanding market structure and rotation
✔ Distinguishing rejection vs breakout zones
✔ Improving trade timing when combined with:
Volatility (ATR)
Market structure (HL / LH / BOS)
Session timing (London / New York)
🔹 What This Indicator Is NOT
❌ Not a buy/sell signal
❌ Not a prediction tool
❌ Not based on indicators like RSI or MACD
TGS Levels is a price-first framework, designed to be used with price action, volatility, and structure.
🔹 Best Use Case
Asset: XAUUSD (Gold)
Execution Timeframe: M5
Sessions: London & New York
Style: Scalping / Intraday structure trading
The same logic can be adapted to other instruments by adjusting the cycle size.
🔹 How to Trade With TGS (High-Level)
When volatility is low or falling → expect rejections at main/super angles
When volatility is expanding → expect breakouts through angles
Use oscillators (like Stochastic) only for timing, not direction
Always confirm with price behavior at the level
🔹 Final Note
TGS Levels provides a clean, non-repainting price map that stays aligned when zooming or scrolling the chart.
All levels are calculated automatically and update dynamically with price.
Levels explain behavior — reactions create opportunity.
TGS By ShadTGS Levels — Tesla–W.D. Gann Strategy
TGS Levels is a price-geometry indicator designed to map algorithmic decision zones on the chart using principles inspired by W.D. Gann price geometry and Tesla 3-6-9 harmonic structure.
This indicator is not a signal generator.
It provides a structured price map to help traders understand where reactions or breakouts are statistically more likely to occur.
🔹 Core Concept
Markets do not move randomly.
They rotate and expand around harmonic price cycles.
TGS Levels automatically plots a 100-unit price cycle framework (ideal for XAUUSD / Gold) and divides each cycle into hierarchical angles used by institutional and algorithmic trading models.
🔹 Level Hierarchy (Very Important)
TGS uses four types of levels, each with a different purpose:
🔴 SUPER ANGLE (+45)
Primary decision level
Price often shows strong rejection or explosive breakout
Highest importance level
🟥 MAIN ANGLES (+27, +63, +81)
High-probability reaction zones
Used for structured pullbacks, rejections, or continuation confirmation
🟠 SECONDARY ANGLES (+18, +36, +54, +72, +90)
Context & management levels
Expect hesitation, partial profit zones, or stop-tightening areas
Not recommended for direct entries
🟡 MICRO LEVELS (+3, +6, +9)
Liquidity & compression map
Help visualize absorption, stop hunts, and consolidation
For structure awareness only
🔹 What This Indicator Is Used For
✔ Identifying where price is likely to react
✔ Understanding market structure and rotation
✔ Distinguishing rejection vs breakout zones
✔ Improving trade timing when combined with:
Volatility (ATR)
Market structure (HL / LH / BOS)
Session timing (London / New York)
🔹 What This Indicator Is NOT
❌ Not a buy/sell signal
❌ Not a prediction tool
❌ Not based on indicators like RSI or MACD
TGS Levels is a price-first framework, designed to be used with price action, volatility, and structure.
🔹 Best Use Case
Asset: XAUUSD (Gold)
Execution Timeframe: M5
Sessions: London & New York
Style: Scalping / Intraday structure trading
The same logic can be adapted to other instruments by adjusting the cycle size.
🔹 How to Trade With TGS (High-Level)
When volatility is low or falling → expect rejections at main/super angles
When volatility is expanding → expect breakouts through angles
Use oscillators (like Stochastic) only for timing, not direction
Always confirm with price behavior at the level
🔹 Final Note
TGS Levels provides a clean, non-repainting price map that stays aligned when zooming or scrolling the chart.
All levels are calculated automatically and update dynamically with price.
Levels explain behavior — reactions create opportunity.
Top 10 Bullish Wedge ScannerThe script does a check of all stocks and gives the top 10 list of stocks with bullish wedge formed on daily timeframe.
Yearly Projection ExplorerThis indicator helps you understand how the current market period has behaved historically by overlaying the same date window from previous years and projecting it forward from today’s price.
The script works the following way:
Aligns past years to today’s calendar date
Normalizes all paths to the last close at the start
Projects historical performance X bars forward
Displays each year as a separate performance path
Calculates and plots the mean (average) projection for quick reference
🔧 How It Works
Number of Years: choose how many past years to include (e.g. last 10, 20, or 25 years)
Projection Length: choose how many bars (days) ahead to project
Each line shows how the market moved during the same period in a specific year
Labels show the year and total return at the projection end
The mean line highlights the average historical outcome
🧠 Why This Is Useful
Identify seasonal tendencies
Compare current price action to historical analogs
Visualize best / worst historical outcomes
Set realistic expectations for short-term moves
Add context to discretionary or systematic decisions
This tool does not predict the future, but it provides a powerful historical framework to assess what has been typical, rare, or extreme for the current market window.
⚠️ Notes
Script works on timenow variable for now, and you might see unexpected periods if today is a day off.
Results depend on the selected timeframe and instrument
Past performance is not a guarantee of future results
Designed for analysis and context, not standalone signals
TGS by Shad TGS Levels — Tesla–W.D. Gann Strategy
TGS Levels is a price-geometry indicator designed to map algorithmic decision zones on the chart using principles inspired by W.D. Gann price geometry and Tesla 3-6-9 harmonic structure.
This indicator is not a signal generator.
It provides a structured price map to help traders understand where reactions or breakouts are statistically more likely to occur.
🔹 Core Concept
Markets do not move randomly.
They rotate and expand around harmonic price cycles.
TGS Levels automatically plots a 100-unit price cycle framework (ideal for XAUUSD / Gold) and divides each cycle into hierarchical angles used by institutional and algorithmic trading models.
🔹 Level Hierarchy (Very Important)
TGS uses four types of levels, each with a different purpose:
🔴 SUPER ANGLE (+45)
Primary decision level
Price often shows strong rejection or explosive breakout
Highest importance level
🟥 MAIN ANGLES (+27, +63, +81)
High-probability reaction zones
Used for structured pullbacks, rejections, or continuation confirmation
🟠 SECONDARY ANGLES (+18, +36, +54, +72, +90)
Context & management levels
Expect hesitation, partial profit zones, or stop-tightening areas
Not recommended for direct entries
🟡 MICRO LEVELS (+3, +6, +9)
Liquidity & compression map
Help visualize absorption, stop hunts, and consolidation
For structure awareness only
🔹 What This Indicator Is Used For
✔ Identifying where price is likely to react
✔ Understanding market structure and rotation
✔ Distinguishing rejection vs breakout zones
✔ Improving trade timing when combined with:
Volatility (ATR)
Market structure (HL / LH / BOS)
Session timing (London / New York)
🔹 What This Indicator Is NOT
❌ Not a buy/sell signal
❌ Not a prediction tool
❌ Not based on indicators like RSI or MACD
TGS Levels is a price-first framework, designed to be used with price action, volatility, and structure.
🔹 Best Use Case
Asset: XAUUSD (Gold)
Execution Timeframe: M5
Sessions: London & New York
Style: Scalping / Intraday structure trading
The same logic can be adapted to other instruments by adjusting the cycle size.
🔹 How to Trade With TGS (High-Level)
When volatility is low or falling → expect rejections at main/super angles
When volatility is expanding → expect breakouts through angles
Use oscillators (like Stochastic) only for timing, not direction
Always confirm with price behavior at the level
🔹 Final Note
TGS Levels provides a clean, non-repainting price map that stays aligned when zooming or scrolling the chart.
All levels are calculated automatically and update dynamically with price.
Levels explain behavior — reactions create opportunity.
Estrategia Timing SMA 10 de Faber Introduction This strategy is based on the classic trend-following logic popularized by Meb Faber in his white papers (such as "A Quantitative Approach to Tactical Asset Allocation") and frequently discussed by financial analyst José Luis Cárpatos. The core philosophy is simple but effective: stay in the market during uptrends to capture growth, and move to cash during downtrends to protect capital from major drawdowns.
This is a long-term "Timing" strategy designed for investors who want to filter out market noise and focus on the primary macro trend.
How it Works The strategy utilizes a specific Moving Average on a Monthly timeframe to determine the trend direction.
The Indicator: A 10-period Simple Moving Average (SMA) calculated on the Monthly timeframe (1M).
Long Condition: When the Monthly Close price is above the 10-Month SMA, the strategy enters a Long position (Risk On).
Exit Condition (Cash): When the Monthly Close price falls below the 10-Month SMA, the strategy closes the position and stays in Cash (Risk Off). It does not open short positions; it simply exits the market to preserve capital.
Key Features (Multi-Timeframe) This script has been coded using request.security to force the calculation on Monthly data (1M), regardless of the chart timeframe you are currently viewing.
This allows you to view the strategy on a Daily or Weekly chart while ensuring the mathematical logic remains strictly bound to the Monthly moving average.
The SMA line will appear "stepped" on lower timeframes (e.g., Daily), representing the constant value of the SMA for that specific month.
Settings
Length: Default is 10 (representing 10 Months), but this can be adjusted if you wish to test other periods (e.g., 12 months).
Source: Defaults to close.
Visuals
Blue Line: Represents the 10-Month SMA.
Background Color:
Green: Indicates the strategy is currently Long (Price > SMA).
Red/Grey: Indicates the strategy is in Cash (Price < SMA).
Important Note on Backtesting & Repainting Because this strategy requests Monthly data on lower timeframes (like Daily), please be aware that the current month's data is dynamic. The signal is technically confirmed only at the close of the monthly bar. When viewing on a Daily chart, the script evaluates the relationship between the current price and the current monthly SMA.
Disclaimer This script is for educational and research purposes only. Past performance is not indicative of future results. Always manage your risk appropriately.
Daily Percentage Oscillator### Daily Percentage Oscillator – Indicator Description
The **Daily Percentage Oscillator** transforms intraday price action into a clean, normalized percentage-based view, using the previous trading day's closing price as the fixed 0% baseline. Each new trading day automatically resets the axis to that prior close, allowing you to visualize true daily price oscillation without the distortion of absolute price levels or cumulative trends.
Key features:
- **Percentage-based OHLC display**: All bars or candlesticks represent percentage change from the previous day’s close, creating a consistent oscillation around the 0% line.
- **Daily reset**: The baseline updates every session, making it ideal for intraday traders focusing on relative strength, mean reversion, or daily momentum patterns.
- **Toggle between bars and candlesticks**: Choose your preferred visual style.
- **Simple Moving Average (SMA)**: Optional SMA applied directly to the percentage close values (default 20-period, fully customizable).
- **Daily-resetting VWAP**: Volume-Weighted Average Price calculated on the percentage series, resetting at the start of each trading day for precise intraday anchoring.
- **Clean presentation**: No clutter from scale labels or status line values — only the essential visuals appear in the pane.
This indicator is particularly useful for:
- Comparing intraday momentum across different assets or timeframes on equal footing.
- Identifying overbought/oversold conditions relative to the prior close.
- Enhancing mean-reversion and range-bound trading strategies.
- Overlaying percentage-based anchors (SMA, VWAP) that respect the daily session structure.
Works on any intraday timeframe (1m, 5m, 15m, etc.) and is designed to stay lightweight and responsive. Perfect for day traders and scalpers seeking a clearer, more intuitive view of daily price behavior.
RSI Nexus Matrix - By TheTradingSmurfRSI Nexus Matrix is a sophisticated multi-timeframe RSI projection system that displays where price is likely to reach RSI overbought (70) and oversold (30) levels across 21 different timeframes simultaneously.
Key Features:
Multi-Timeframe Analysis - Monitors RSI conditions from M1 through Monthly charts in a unified view
Smart Price Projections - Calculates exact price levels where RSI will hit 70/30 thresholds using pivot-based regression
Visual Clarity - Horizontal projection lines with labeled timeframes and prices
Dynamic Color Coding - Lines change to lime (bullish breakthrough) or orange (bearish breakthrough) when price crosses projected levels
Vertical Lane System - Fixed vertical indicators per timeframe connecting current price to projected levels
ATR-Based Protection - Caps unrealistic projections using ATR multipliers
Adaptive Fallback - Uses alternative calculation methods when pivot data is unavailable
How It Works:
The indicator analyzes RSI pivot points on each timeframe and projects forward to determine where price needs to move for RSI to reach overbought/oversold zones. This creates a "matrix" of convergence points where multiple timeframes align, revealing high-probability reversal zones.
Best Used For:
Identifying multi-timeframe confluence zones
Timing entries at oversold/overbought extremes
Spotting when multiple timeframes align for reversals
Scalping with lower timeframe projections
Swing trading with higher timeframe projections
Fully customizable with 21 toggleable timeframes, adjustable RSI periods, pivot sensitivity, and complete visual control over lines, labels, and colors.
MTF Stochastic DashboardThe Stochastic Oscillator measures momentum — how strong or weak price movements are. By analyzing its shape and direction across multiple timeframes, and drawing trendlines on the %K line, you can better understand potential market reversals, continuation points, or breakout signals.
V-Max: Tactical Clock & Price (Master Fit)Overview
The V-Max Tactical Clock & Price is a high-visibility utility dashboard engineered for precision execution in global financial markets. It serves as a "Physical Timezone Navigator," providing real-time price tracking and synchronized local time display directly on the chart. This ensures traders can align their execution with specific market openings and closing volatility regardless of the exchange's default timezone.
Core Technical Logic & Features
This script focuses on the physics of time-alignment and visual stability:
Physical Time Calibration Engine: Unlike standard UI clocks, this script employs a millisecond-level compensation engine using the formula: $timenow + (tz\_offset \times 60 \times 60 \times 1000)$. This allows for precise synchronization with any global market (e.g., London, New York, or Asia sessions).
Momentum-Driven Price Rendering: The price display utilizes conditional coloring logic ($close \ge open ? up\_col : dn\_col$) to provide immediate visual feedback on the current bar's momentum.
High-Identifiability UI (Master Fit): Leverages the table.new titan rendering engine with size.huge font specifications for the price. This ensures critical data remains readable even on small mobile screens or high-density multi-chart layouts.
Anti-Flicker Monospaced Formatting: Employs font.family_monospace to ensure strict numerical alignment, preventing visual flickering or "jumping" during periods of extreme market volatility.
How to Use
Timezone Setup: Enter your local GMT offset (e.g., +8 for Taiwan/Singapore, -5 for New York) in the settings.
Visual Customization: Adjust the dashboard position (default: Bottom Left) and background aesthetics to fit your professional trading workspace.
產品概述
V-Max 戰術時鐘與價格顯示器是一款為全球市場設計的高辨識度工具。它作為一個實時的「全球時區導航儀」，在圖表上直接提供實時價格追蹤與同步化的本地時間顯示，確保交易者能精確對齊各國市場開盤瞬間的波動。
核心技術邏輯與功能物理時間校準引擎：採用毫秒級時間補償運算，公式為：$timenow + (tz\_offset \times 60 \times 60 \times 1000)$。這讓交易者能精確校準全球任一交易所的本地時間。
動能價格渲染：價格顯示具備即時漲跌變色邏輯，提供直觀的即時盤感反饋。
特大字體 UI (Master Fit)：採用 size.huge 字體規格顯示價格，確保在移動端或複雜多圖表布局下依然清晰易讀。
防閃爍等寬格式：使用等寬字體確保數字在劇烈波動時不會產生視覺跳動，維持高度的讀數穩定性。
Access & Support
This script is published as a Free Public Utility in the TradingView Library. Disclaimer: For educational purposes only. Past performance does not guarantee future results.
Disclaimer: This script is for technical analysis and educational purposes only. It does not provide financial advice.
Execution-Weighted Market Regime Map (EWRM)Overview
The Execution-Weighted Market Regime Map is designed to answer a simple question:
“Is this market worth trading right now, or is it mostly noise and costs?”
Instead of focusing only on trend vs range, it evaluates whether conditions are likely to:
offer clean, follow-through price movement
chop back and forth
be dominated by costs like spread and slippage
It is meant for day traders and swing traders who want to choose when to trade, not just where to enter .
Core idea
Most indicators try to predict direction.
EWRM focuses on tradability.
It highlights:
when the market moves cleanly and is easier to execute
when volatility is unstable and unreliable
when “cost of trading” (spread and slippage) eats potential profit
The indicator shows this using:
a visual dashboard
background color changes
clear regime labels
Key concepts in plain language
SRR – Spread-to-Range Ratio
How big the trading costs are compared to how much price is moving.
High SRR = the market moves little but costs you a lot → bad environment.
Low SRR = price moves much more than it costs to trade → better environment.
PEI – Pullback Efficiency Index
Measures how “clean” trends are.
If pullbacks lead to smooth continuation, PEI is high.
If pullbacks constantly fail and reverse, PEI is low.
SRP – Slippage Risk Proxy
Estimates how likely you are to get worse fills than expected.
Fast spikes, thin liquidity zones, and whipsaw behavior increase SRP.
What EWRM helps you do
avoid overtrading during messy conditions
size up when conditions are smooth and directional
identify when volatility is expanding or collapsing
adapt behavior by time of day (open, midday, close)
How it works at a high level
It measures how much the market is moving
It checks whether volatility is stable or chaotic
It estimates how expensive and difficult execution is
It breaks the day into premarket, open, midday, and power hour
It combines all of this into an overall “regime” label
It colors the background or dashboard so you can read the state instantly
There are no buy/sell arrows. It is a decision-support tool, not a signal generator.
How to use it
trade more when conditions are clean and execution-friendly
stand aside when cost and noise dominate movement
prefer trend setups when trend regimes are detected
stay cautious when regime flips frequently
Think of it as a weather map for the market, not a GPS.
Inputs and parameters
Core settings
Realized Volatility Length – how fast the tool reacts to volatility changes
Volatility Stability Length – how stable/unstable volatility appears
ATR Length – used to scale and normalize movement
General Lookback – how much history is analyzed
Session settings
Premarket
Opening drive
Midday
Power hour
These let the tool treat each time window differently, since behavior changes through the day.
Cost settings
Estimated Spread – approximate buy/sell price difference
Estimated Slippage – expected extra cost from fast movement
These make the tool focus on realistic, after-cost trading conditions .
Visual settings
toggle dashboard
toggle background shading
toggle regime labels
choose X/Y position of the panel
Limitations
uses estimates of spread and slippage, not live order-book data
cannot remove all uncertainty
best used as a filter, not a trading system
Suggested use
filter out bad environments
increase selectivity
align position size with regime quality
combine with your own strategy or entries
