MÈGAS ALGO : MÈGAS Signals [INDICATOR]Overview
The MÈGAS Signals is a cutting-edge, multi-functional trading tool designed for advanced traders seeking to identify high-probability trade setups. This script combines price action analysis, machine learning techniques, and real-time signal generation across multiple timeframes to provide actionable insights. The indicator is optimized for both bullish and bearish market conditions and includes features like backtesting metrics, take-profit tools, and customizable alerts.
Key Features
1. Machine Learning and Statistical Clustering
The script implements the K-Means clustering algorithm , a widely used unsupervised machine learning technique, to segment historical price movements into distinct clusters based on magnitude and distribution characteristics. These clusters represent quantized levels of bullish and bearish momentum, enabling the system to adaptively model market behavior across varying volatility regimes.
By applying this statistical clustering approach to real-time price data, the algorithm dynamically identifies meaningful thresholds for key Smart Money Concepts (SMC) such as Break of Structure (BOS) and Change of Character (CHOCH) . This integration enhances classical SMC logic with a data-driven, self-adjusting mechanism that responds to evolving market conditions, effectively bridging traditional price action analysis with modern machine learning methodologies.
2.Multi-Timeframe Table:
A dynamic, real-time multi-timeframe table displayed on the chart that provides at-a-glance insight into:
-Current trend or signal status per timeframe
-Percentage price change relative to the previous bar
-Countdown to the next bar open , updated every second
This table empowers traders with cross-timeframe context , helping them identify confluence, reversals, or divergences across multiple horizons — from scalping (1m) to long-term trends (1D).
3.Dynamic Trailing Stops with Enhanced Visualization
The dynamic trailing stop mechanism adjusts based on volatility clusters, ensuring tighter risk
management during low-volatility periods and wider stops during high-volatility phases.
The feed speed feature enhances visualization by adjusting the transparency of candle
coloring relative to the trailing stop. This makes it easier to interpret trend strength and
momentum, allowing traders to stay ahead of price action.
4.Customizable Alerts for Seamless Execution
Sublimia Signals offers highly customizable alerts that can be tailored to specific timeframes
and trading preferences.
With the intra-bar calculation feature, alerts can be triggered on every tick rather than just
on bar close, empowering traders to act swiftly in fast-moving markets.
Personalized alert messages allow you to create clear and concise notifications for entry and
exit points, streamlining your trading workflow.
5.Comprehensive Backtesting Metrics
The built-in performance metrics table provides detailed backtesting results, including total
trades, win rates, cumulative profit/loss, profit factor, best profit, and worst loss for both
long and short positions.
These metrics enable traders to evaluate the effectiveness of their strategies and optimize
input parameters for better performance.
6.Non-Standard Candle Integration for Smoother Price Action Analysis
The optional Non-Standard Candle toggle allows users to switch between "Traditional", "Heikin-Ashi", "Volume-Weighted" and "Hybrid" candles.
This feature is particularly useful for identifying trends and filtering out market noise, while
backtesting remains based on normal candles to ensure accuracy.
7.Intra-Bar Calculation for Granular Insights
When enabled, the intra-bar calculation feature provides granular insights into price
movements within each bar, offering traders a deeper understanding of market dynamics.
This feature also modifies the algorithm's logic, triggering alerts on every tick rather than just
on bar close, making it ideal for scalpers and day traders who need ultra-responsive tools.
8.Take-Profit/Trailing-Profit Tools: Precision and Flexibility
This feature allows you to set multiple profit levels with customizable percentage
distances, giving you unparalleled control over your trades.
Selectable Type of exit mode : Take-Profit or Trailing-Profit.
Selectable Number of Profit Levels: Define as many profit targets as you need,
ensuring you can capture profits at different stages of price movement.
Percentage-Based Distance: Set each profit level based on a percentage distance from
your entry point. This ensures precise positioning tailored to your risk-reward preferences.
Integrated Alerts: Never miss an opportunity! The tool includes built-in alerts that notify you
when each take-profit level is reached, keeping you informed in real-time.
9.Optimized Visualization
The script ensures optimized visualization of trend strength through smooth transitions in
candle transparency, making it easier to interpret market momentum.
The feed speed parameter calculates how quickly the candle coloring adjusts relative to the
trailing stop, enhancing clarity and decision-making.
How it work
Identify the Primary Trend Using Multi-Timeframe Analysis :
Focus on Higher Timeframes : Start by analyzing the 4h, 8h, or 24h timeframes to determine the primary trend. These higher timeframes provide a clearer picture of long-term momentum.
The built-in table provides real-time updates across all primarly timeframes. Look for confluence—when multiple timeframes align in the same direction.
Confirm Entry Points Using Lower Timeframes :
Fine-Tune Entries with Shorter Timeframes : Once you’ve identified the primary trend, use lower timeframes (e.g., 1m, 5m, or 15m ) to confirm entry points.
Set Take-Profit Levels Based on Percentage Distances :
Customizable Take-Profit Tools : Use the take-profit feature to set multiple levels based on percentage distances from your entry point.
Use Customizable Alerts for Real-Time Updates :
Enable alerts for specific timeframes (e.g., 4h, 8h, 15m) to stay informed about changes in the primary trend or short-term opportunities.
For fast-moving markets, enable the intra-bar calculation feature to receive alerts on every tick, ensuring you don’t miss critical entries or exits.
Backtesting for Strategy Optimization :
Performance Metrics : Use the backtesting metrics table to evaluate how well your trend-following strategy performs over time. Analyze win rates, profit factor, and best/worst trades to refine your approach.
Adjust Inputs : Fine-tune settings like slippage and commission(%) to optimize the indicator for your prefer pair.
Please Note:
This indicator is provided for informational and educational purposes only. It is not financial advice, and it should not be considered a recommendation to buy, sell, or trade any financial instrument. Trading involves significant risks, including the potential loss of your entire investment. Always conduct your own research and consult with a licensed financial advisor before making any trading decisions.
The results and images provided are based on algorithms and historical/paid real-time market data but do not guarantee future results or accuracy. Use this tool at your own risk, and understand that past performance is not indicative of future outcomes.
Cerca negli script per "profit"
Dr.Avinash Talele quarterly earnings, VCP and multibagger trakerDr. Avinash Talele Quarterly Earnings, VCP and Multibagger Tracker.
📊 Comprehensive Quarterly Analysis Tool for Multibagger Stock Discovery
This advanced Pine Script indicator provides a complete financial snapshot directly on your chart, designed to help traders and investors identify potential multibagger stocks and VCP (Volatility Contraction Pattern) setups with precision.
🎯 Key Features:
📈 8-Quarter Financial Data Display:
EPS (Earnings Per Share) - Track profitability trends
Sales Revenue - Monitor business growth
QoQ% (Quarter-over-Quarter Growth) - Spot acceleration/deceleration
ROE (Return on Equity) - Assess management efficiency
OPM (Operating Profit Margin) - Evaluate operational excellence
💰 Market Metrics:
Market Cap - Current company valuation
P/E Ratio - Valuation assessment
Free Float - Liquidity indicator
📊 Technical Positioning:
% Down from 52-Week High - Identify potential bottoming patterns
% Up from 52-Week Low - Track momentum from lows
Turnover Data (1D & 50D Average) - Volume analysis
ADR% (Average Daily Range) - Volatility measurement
Relative Volume% - Institutional interest indicator
🚀 How It Helps Find Multibaggers:
1. Growth Acceleration Detection:
Consistent EPS Growth: Identifies companies with accelerating earnings
Revenue Momentum: Tracks sales growth patterns quarter-over-quarter
Margin Expansion: Spots improving operational efficiency through OPM trends
2. VCP Pattern Recognition:
Volatility Contraction: ADR% helps identify tightening price ranges
Volume Analysis: Relative volume shows institutional accumulation
Distance from Highs: Tracks healthy pullbacks in uptrends
3. Fundamental Strength Validation:
ROE Trends: Ensures management is efficiently using shareholder capital
Debt-Free Growth: High ROE with growing margins indicates quality growth
Scalability: Revenue growth vs. margin expansion analysis
4. Entry Timing Optimization:
52-Week Positioning: Enter near lows, avoid near highs
Volume Confirmation: High relative volume confirms breakout potential
Valuation Check: P/E ratio helps avoid overvalued entries
💡 Multibagger Characteristics to Look For:
✅ Consistent 15-20%+ EPS growth across multiple quarters
✅ Accelerating revenue growth with QoQ% improvements
✅ ROE above 15% and expanding
✅ Operating margins improving over time
✅ Low debt (indicated by high ROE with growing profits)
✅ Strong cash generation (reflected in consistent growth metrics)
✅ 20-40% down from 52-week highs (ideal entry zones)
✅ Above-average volume during consolidation phases
🎨 Visual Design:
Clean white table with black borders for maximum readability
Color-coded QoQ% changes (Green = Growth, Red = Decline)
Centered positioning for easy chart analysis
8-quarter historical view for trend identification
📋 Perfect For:
Long-term investors seeking multibagger opportunities
Growth stock enthusiasts tracking earnings acceleration
VCP pattern traders looking for breakout candidates
Fundamental analysts requiring quick financial snapshots
Swing traders timing entries in growth stocks
⚡ Quick Setup:
Simply add the indicator to any NSE/BSE stock chart and instantly view comprehensive quarterly data. The table updates automatically with the latest financial information, making it perfect for screening and monitoring your watchlist.
🔍 Start identifying your next multibagger today with this powerful combination of fundamental analysis and technical positioning data!
Disclaimer: This indicator is for educational and analysis purposes. Always conduct thorough research and consider risk management before making investment decisions.
Palgo Trading - Palgo🎯THE PALGO INDICATOR
The "Palgo Trading - Palgo" indicator, developed by PALGOTRADING is a sophisticated technical analysis tool designed to identify potential buy and sell signals by combining trend analysis with momentum and optional AI-driven sentiment assessment. This indicator provides a clear visual representation of potential trading opportunities directly on the price chart.
At its core, the Palgo indicator synthesizes information from well-established technical analysis concepts with statistical functions, and has optional AI Integration for social analysis of the asset using external data :
Supertrend: This indicator identifies the prevailing trend direction. A positive Supertrend value suggests an upward trend, while a negative value indicates a downward trend. The Palgo indicator utilizes a Supertrend with a customizable multiplier and a user-configurable Average True Range (ATR) length (defaulting to 21).
🛜Signal Generation Logic
The indicator generates buy and sell signals based on a calculated "final direction" value. This value is derived by combining the Supertrend direction and a modified RSI. The modification involves scaling the RSI output to a range of -0.5 to 0.5 and then further adjusting it.
The buy and sell conditions are as follows:
Buy Signal: A buy signal is triggered when the "final direction" crosses above a positive activation threshold while the current signal is not already bullish. Upon signal generation, a "Buy" label (colored green) appears below the bar, and initial Take Profit (TP) and Stop Loss (SL) levels are calculated and stored.
Sell Signal: Conversely, a sell signal is triggered when the "final direction" crosses below a negative activation threshold while the current signal is not already bearish. A "Sell" label (colored red) is plotted above the bar, and corresponding TP and SL levels are determined.
✅ Optimized Take-Profit / Stop-Loss
The Take-Profit (TP) & Stop-Loss (SL) signals are optimized with Kernel Density Estimation (KDE), the script uses KDE activated by gaussian function on previous pivot points and trains the model, then tries to estimate new pivot points early, to determine new TP / SL levels for the current signal. Kernel Density Estimation takes values of the previous confirmed pivots' RSI values, body size & more factors to determine their role. This indicator can generate up to 5 TP signals per signal.
📈 Signal Trail
Palgo also includes a "Signal Trail" that visually shows the market's momentum. This trail is like a dynamic line that follows the price.
When the market is in an uptrend and looking strong, you'll see a green trail.
When it's in a downtrend and looking weak, you'll see a red trail.
This trail helps you see if the market is currently aligned with Palgo's bullish (buy) or bearish (sell) signal. It also acts as a visual guide for potential support or resistance levels.
📊Backtesting Dashboard
The Palgo indicator includes an optional Backtesting Dashboard to help you understand its historical performance. This dashboard appears directly on your chart and provides a quick summary of how the indicator's signals have performed in the past.
Here's what you'll see on the dashboard:
Sensitivity: This shows the specific "Sensitivity" setting you've chosen for the indicator. This setting influences how often signals are generated.
Wins: This number tells you how many trades initiated by the Palgo indicator historically ended in profit (reached a Take-Profit target or closed profitably when the signal reversed).
Loss: This number indicates how many trades historically ended in a loss (hit the Stop-Loss).
Winrate: This is a very important metric, displayed as a percentage. It shows you the proportion of winning trades compared to the total number of trades (Wins / (Wins + Loss)). A higher winrate generally suggests a more effective strategy.
This dashboard is a valuable tool for reviewing the indicator's effectiveness with different settings and helping you make informed decisions about its use in your trading.
🤖AI Integration (Optional):
A unique feature of the Palgo indicator is the optional integration of Artificial Intelligence (AI) sentiment analysis. When the "Use AI" input is enabled, the indicator incorporates two additional user-defined inputs:
Impression Change %: This input represents the percentage change in overall market sentiment as assessed by an external AI.
Positivity Change: This input reflects the change in positive sentiment, also provided by an AI.
These AI inputs are combined to create an "AI Score," which then influences the "final direction" calculation. A positive AI Score amplifies the bullish signals and dampens bearish signals, while a negative AI Score has the opposite effect.
❓Why PALGO ?
All-in-One Analysis: Palgo combines trend, momentum, and advanced statistical analysis into one easy-to-use tool, giving you a complete picture without needing multiple indicators.
Dynamic Profit & Loss Management: Unlike many tools with fixed targets, Palgo's smart profit and stop-loss system adapts to the market using KDE. This helps you potentially capture more gains and limit losses effectively.
Optional AI Insights: For an extra edge, Palgo can tap into Artificial Intelligence (AI) to gauge overall market mood. If the AI sees a lot of positive buzz, it can strengthen buy signals; if it's negative, it can reinforce sell signals. This helps you trade with a better understanding of the market's pulse.
Clear and Customizable: Palgo is designed to be very visual. It changes the color of the price bars, adds clear "Buy" or "Sell" labels, and marks your profit and stop-loss points. You can also change the colors to suit your preference.
Palgo aims to be a comprehensive and adaptable trading tool, giving you clearer insights.
⚙️Visualizations and Customization
The Palgo indicator offers several visual cues to aid traders:
Bar Coloring: The price bars are colored green when the indicator identifies a bullish signal and red during a bearish signal.
Signal Labels: Clear "Buy" and "Sell" labels are plotted at the signal generation points.
Take Profit and Stop Loss Markers: Distinct shapes and labels indicate when the price reaches the calculated TP and SL levels.
Style Options: Users can customize the colors for bullish and bearish bars, text, and TP/SL markers within the indicator's settings.
Peters Fibs IndicatorPeters Fibs Indicator helps you find great spots to enter trades, set stop-losses, and take profits using Fibonacci levels. It spots important price swings (highs and lows) and draws key levels on your chart to guide your trading decisions. Here's how it works in simple terms:
1-Finds Swings: It looks at recent price action to spot major highs ("H") and lows ("L") on your chart.
2-Draws Fibonacci Levels: Uses these swings to mark three key levels:
Entry (default at 61.8%): Where you might jump into a trade.
Stop-Loss (default at 79%): Where to cut losses if the trade goes wrong.
Take-Profit (default at 14.6% and -0.236) : Where to lock in profits.
3-Shows Trade Signals: Alerts you when the price hits the entry level, so you know it's time to act.
How to Tweak It for Different Timeframes
You can adjust the indicator to work for fast-paced or slower trading styles by changing a few settings:
*Fast Charts (e.g., 5-minute or 15-minute):
Swing Length: Set to 5-10 to catch quick price swings.
Minimum Bars Between Swings: Use 5-10 to allow swings close together.
*Slower Charts (e.g., 1-hour or 4-hour):
Swing Length: Bump up to 20-50 to focus on bigger, more important swings.
Minimum Bars Between Swings: Set to 15-30 to space out swings for clearer signals.
[blackcat] L2 Multi-Level Price Condition TrackerOVERVIEW
The L2 Multi-Level Price Condition Tracker represents an innovative approach to analyzing financial markets by simultaneously monitoring multiple price levels, thus providing traders with a holistic view of market dynamics. By combining dynamic calculations based on moving averages and price deviations, this tool aims to deliver precise and actionable insights into potential entry and exit points. It leverages sophisticated statistical measures to identify key thresholds that signify shifts in market sentiment, thereby aiding traders in making well-informed decisions. 🎯
Key benefits encompass:
• Comprehensive calculation of midpoints and average prices indicating short-term trend directions.
• Interactive visualization elements enhancing interpretability effortlessly.
• Real-time generation of buy/sell signals driven by precise condition evaluations.
TECHNICAL ANALYSIS COMPONENTS
📉 Midpoint Calculations:
Computes central reference points derived from high-low ranges establishing baseline supports/resistances.
Utilizes Simple Moving Averages (SMAs) along with standardized deviation formulas smoothing out volatility while preserving long-term trends accurately.
Facilitates identification of directional biases reflecting underlying market forces dynamically.
🕵️♂️ Advanced Price Level Detection:
Derives upper/lower bounds adjusting sensitivities adaptively responding to changing conditions flexibly.
Employs proprietary logic distinguishing between bullish/bearish sentiments promptly signaling transitions effectively.
Ensures consistent adherence to predefined statistical protocols maintaining accuracy robustly.
🎥 Dynamic Signal Generation:
Detects crossovers indicating dominance shifts between buyers/sellers promptly triggering timely alerts.
Integrates conditional logic reinforcing signal validity minimizing erroneous activations systematically.
Supports adaptive thresholds tuning sensitivities based on evolving market conditions flexibly accommodating varying scenarios.
INDICATOR FUNCTIONALITY
🔢 Core Algorithms:
Utilizes moving averages alongside standardized deviation formulas generating precise net volume measurements.
Implements Arithmetic Mean Line Algorithm (AMLA) smoothing techniques improving interpretability.
Ensures consistent alignment with established statistical principles preserving fidelity.
🖱️ User Interface Elements:
Dedicated plots displaying real-time midpoint markers facilitating swift decision-making.
Context-sensitive color coding distinguishing positive/negative deviations intuitively highlighting key activations clearly.
Background shading emphasizing proximity to crucial threshold activations enhancing visibility focusing attention on vital signals promptly.
STRATEGY IMPLEMENTATION
✅ Entry Conditions:
Confirm bullish/bearish setups validated through multiple confirmatory signals assessing concurrent market sentiment factors.
Validate entry decisions considering alignment between calculated midpoints and broader trend directions ensuring coherence.
Monitor cumulative breaches signifying potential trend reversals executing partial/total closes contingent upon predetermined loss limits preserving capital efficiently.
🚫 Exit Mechanisms:
Trigger exits upon hitting predefined thresholds derived from historical analyses promptly executing closures.
Execute partial/total closes contingent upon cumulative loss limits preserving capital efficiently managing exposures prudently.
Conduct periodic reviews gauging strategy effectiveness rigorously identifying areas needing refinement implementing corrective actions iteratively enhancing performance metrics steadily.
PARAMETER CONFIGURATIONS
🎯 Optimization Guidelines:
Lookback Period: Governs responsiveness versus stability balancing sensitivity/stability governing moving averages aligning with preferred granularity.
Price Source: Dictates primary data series driving volume calculations selecting relevant inputs accurately tailoring strategies accordingly.
💬 Customization Recommendations:
Commence with baseline defaults; iteratively refine parameters isolating individual impacts evaluating adjustments independently prior to combined modifications minimizing disruptions.
Prioritize minimizing erroneous trigger occurrences first optimizing signal fidelity sustaining balanced risk-reward profiles irrespective of chosen settings upholding disciplined approaches preserving capital efficiently.
ADVANCED RISK MANAGEMENT
🛡️ Proactive Risk Mitigation Techniques:
Enforce strict compliance with pre-defined maximum leverage constraints adhering strictly to guidelines managing exposures prudently.
Mandatorily apply trailing stop-loss orders conforming to script outputs enforcing discipline rigorously preventing adverse consequences.
Allocate positions proportionately relative to available capital reserves conducting periodic reviews gauging effectiveness continuously identifying improvement opportunities steadily.
⚠️ Potential Pitfalls & Solutions:
Address frequent violations arising during heightened volatility phases necessitating manual interventions judiciously preparing contingency plans proactively mitigating risks effectively.
Manage false alerts warranting immediate attention avoiding adverse consequences systematically implementing corrective actions reliably.
Prepare proactive responses amid adverse movements ensuring seamless functionality amidst fluctuating conditions fortifying resilience against anomalies robustly.
PERFORMANCE MONITORING METRICS
🔍 Evaluation Criteria:
Assess win percentages consistently across diverse trading instruments gauging reliability measuring profitability efficiency accurately evaluating downside risks comprehensively uncovering systematic biases potentially skewing outcomes.
Calculate average profit ratios per successful execution benchmarking actual vs expected performances documenting results meticulously tracking progress dynamically addressing identified shortcomings proactively fostering continuous improvements.
📈 Historical Data Analysis Tools:
Maintain detailed logs capturing every triggered event recording realized profits/losses comparing simulated projections accurately identifying discrepancies warranting investigation implementing iterative refinements steadily enhancing performance metrics progressively.
Identify recurrent systematic errors demanding corrective actions implementing iterative refinements steadily addressing identified shortcomings proactively fostering continuous enhancements dynamically improving robustness resiliently.
PROBLEM SOLVING ADVICE
🔧 Frequent Encountered Challenges:
Unpredictable behaviors emerging within thinly traded markets requiring filtration processes enhancing signal integrity excluding low-liquidity assets prone to erratic movements effectively.
Latency issues manifesting during abrupt price fluctuations causing missed opportunities introducing buffer intervals safeguarding major news/event impacts mitigating distortions seamlessly verifying reliable connections ensuring uninterrupted data flows guaranteeing accurate interpretations dependably.
💡 Effective Resolution Pathways:
Limit ongoing optimization attempts preventing model degradation maintaining optimal performance levels consistently recalibrating parameters periodically adapting strategies flexibly responding appropriately amidst varying conditions dynamically improving robustness resiliently.
Verify reliable connections ensuring uninterrupted data flows guaranteeing accurate interpretations dependably bolstering overall efficacy systematically addressing identified shortcomings dynamically fostering continuous advancements.
THANKS
Heartfelt acknowledgment extends to all developers contributing invaluable insights regarding multi-level price condition-based trading methodologies! ✨
[blackcat] L1 Net Volume DifferenceOVERVIEW
The L1 Net Volume Difference indicator serves as an advanced analytical tool designed to provide traders with deep insights into market sentiment by examining the differential between buying and selling volumes over precise timeframes. By leveraging these volume dynamics, it helps identify trends and potential reversal points more accurately, thereby supporting well-informed decision-making processes. The key focus lies in dissecting intraday changes that reflect short-term market behavior, offering critical input for both swing and day traders alike. 📊
Key benefits encompass:
• Precise calculation of net volume differences grounded in real-time data.
• Interactive visualization elements enhancing interpretability effortlessly.
• Real-time generation of buy/sell signals driven by dynamic volume shifts.
TECHNICAL ANALYSIS COMPONENTS
📉 Volume Accumulation Mechanisms:
Monitors cumulative buy/sell volumes derived from comparative closing prices.
Periodically resets accumulation counters aligning with predefined intervals (e.g., 5-minute bars).
Facilitates identification of directional biases reflecting underlying market forces accurately.
🕵️♂️ Sentiment Detection Algorithms:
Employs proprietary logic distinguishing between bullish/bearish sentiments dynamically.
Ensures consistent adherence to predefined statistical protocols maintaining accuracy.
Supports adaptive thresholds adjusting sensitivities based on changing market conditions flexibly.
🎯 Dynamic Signal Generation:
Detects transitions indicating dominance shifts between buyers/sellers promptly.
Triggers timely alerts enabling swift reactions to evolving market dynamics effectively.
Integrates conditional logic reinforcing signal validity minimizing erroneous activations.
INDICATOR FUNCTIONALITY
🔢 Core Algorithms:
Utilizes moving averages along with standardized deviation formulas generating precise net volume measurements.
Implements Arithmetic Mean Line Algorithm (AMLA) smoothing techniques improving interpretability.
Ensures consistent alignment with established statistical principles preserving fidelity.
🖱️ User Interface Elements:
Dedicated plots displaying real-time net volume markers facilitating swift decision-making.
Context-sensitive color coding distinguishing positive/negative deviations intuitively.
Background shading highlighting proximity to key threshold activations enhancing visibility.
STRATEGY IMPLEMENTATION
✅ Entry Conditions:
Confirm bullish/bearish setups validated through multiple confirmatory signals.
Validate entry decisions considering concurrent market sentiment factors.
Assess alignment between net volume readings and broader trend directions ensuring coherence.
🚫 Exit Mechanisms:
Trigger exits upon hitting predetermined thresholds derived from historical analyses.
Monitor continuous breaches signifying potential trend reversals promptly executing closures.
Execute partial/total closes contingent upon cumulative loss limits preserving capital efficiently.
PARAMETER CONFIGURATIONS
🎯 Optimization Guidelines:
Reset Interval: Governs responsiveness versus stability balancing sensitivity/stability.
Price Source: Dictates primary data series driving volume calculations selecting relevant inputs accurately.
💬 Customization Recommendations:
Commence with baseline defaults; iteratively refine parameters isolating individual impacts.
Evaluate adjustments independently prior to combined modifications minimizing disruptions.
Prioritize minimizing erroneous trigger occurrences first optimizing signal fidelity.
Sustain balanced risk-reward profiles irrespective of chosen settings upholding disciplined approaches.
ADVANCED RISK MANAGEMENT
🛡️ Proactive Risk Mitigation Techniques:
Enforce strict compliance with pre-defined maximum leverage constraints adhering strictly to guidelines.
Mandatorily apply trailing stop-loss orders conforming to script outputs reinforcing discipline.
Allocate positions proportionately relative to available capital reserves managing exposures prudently.
Conduct periodic reviews gauging strategy effectiveness rigorously identifying areas needing refinement.
⚠️ Potential Pitfalls & Solutions:
Address frequent violations arising during heightened volatility phases necessitating manual interventions judiciously.
Manage false alerts warranting immediate attention avoiding adverse consequences systematically.
Prepare contingency plans mitigating margin call possibilities preparing proactive responses effectively.
Continuously assess automated system reliability amidst fluctuating conditions ensuring seamless functionality.
PERFORMANCE AUDITS & REFINEMENTS
🔍 Critical Evaluation Metrics:
Assess win percentages consistently across diverse trading instruments gauging reliability.
Calculate average profit ratios per successful execution measuring profitability efficiency accurately.
Measure peak drawdown durations alongside associated magnitudes evaluating downside risks comprehensively.
Analyze signal generation frequencies revealing hidden patterns potentially skewing outcomes uncovering systematic biases.
📈 Historical Data Analysis Tools:
Maintain comprehensive records capturing every triggered event meticulously documenting results.
Compare realized profits/losses against backtested simulations benchmarking actual vs expected performances accurately.
Identify recurrent systematic errors demanding corrective actions implementing iterative refinements steadily.
Document evolving performance metrics tracking progress dynamically addressing identified shortcomings proactively.
PROBLEM SOLVING ADVICE
🔧 Frequent Encountered Challenges:
Unpredictable behaviors emerging within thinly traded markets requiring filtration processes.
Latency issues manifesting during abrupt price fluctuations causing missed opportunities.
Overfitted models yielding suboptimal results post-extensive tuning demanding recalibrations.
Inaccuracies stemming from incomplete/inaccurate data feeds necessitating verification procedures.
💡 Effective Resolution Pathways:
Exclude low-liquidity assets prone to erratic movements enhancing signal integrity.
Introduce buffer intervals safeguarding major news/event impacts mitigating distortions effectively.
Limit ongoing optimization attempts preventing model degradation maintaining optimal performance levels consistently.
Verify reliable connections ensuring uninterrupted data flows guaranteeing accurate interpretations reliably.
USER ENGAGEMENT SEGMENT
🤝 Community Contributions Welcome
Highly encourage active participation sharing experiences & recommendations!
THANKS
Heartfelt acknowledgment extends to all developers contributing invaluable insights about volume-based trading methodologies! ✨
[blackcat] L2 Z-Score of PriceOVERVIEW
The L2 Z-Score of Price indicator offers traders an insightful perspective into how current prices diverge from their historical norms through advanced statistical measures. By leveraging Z-scores, it provides a robust framework for identifying potential reversals in financial markets. The Z-score quantifies the number of standard deviations that a data point lies away from the mean, thus serving as a critical metric for recognizing overbought or oversold conditions. 🎯
Key benefits encompass:
• Precise calculation of Z-scores reflecting true price deviations.
• Interactive plotting features enhancing visual clarity.
• Real-time generation of buy/sell signals based on crossover events.
STATISTICAL ANALYSIS COMPONENTS
📉 Mean Calculation:
Utilizes Simple Moving Averages (SMAs) to establish baseline price references.
Provides smooth representations filtering short-term noise preserving long-term trends.
Fundamental for deriving subsequent deviation metrics accurately.
📈 Standard Deviation Measurement:
Quantifies dispersion around established means revealing underlying variability.
Crucial for assessing potential volatility levels dynamically adapting strategies accordingly.
Facilitates precise Z-score derivations ensuring statistical rigor.
🕵️♂️ Z-SCORE DETECTION:
Measures standardized distances indicating relative positions within distributions.
Helps pinpoint extreme conditions signaling impending reversals proactively.
Enables early identification of trend exhaustion phases prompting timely actions.
INDICATOR FUNCTIONALITY
🔢 Core Algorithms:
Integrates SMAs along with standardized deviation formulas generating precise Z-scores.
Employs Arithmetic Mean Line Algorithm (AMLA) smoothing techniques improving interpretability.
Ensures consistent adherence to predefined statistical protocols maintaining accuracy.
🖱️ User Interface Elements:
Dedicated plots displaying real-time Z-score markers facilitating swift decision-making.
Context-sensitive color coding distinguishing positive/negative deviations intuitively.
Background shading highlighting proximity to key threshold activations enhancing visibility.
STRATEGY IMPLEMENTATION
✅ Entry Conditions:
Confirm bullish/bearish setups validated through multiple confirmatory signals.
Validate entry decisions considering concurrent market sentiment factors.
Assess alignment between Z-score readings and broader trend directions ensuring coherence.
🚫 Exit Mechanisms:
Trigger exits upon hitting predetermined thresholds derived from historical analyses.
Monitor continuous breaches signifying potential trend reversals promptly executing closures.
Execute partial/total closes contingent upon cumulative loss limits preserving capital efficiently.
PARAMETER CONFIGURATIONS
🎯 Optimization Guidelines:
Length: Governs responsiveness versus smoothing trade-offs balancing sensitivity/stability.
Price Source: Dictates primary data series driving Z-score computations selecting relevant inputs accurately.
💬 Customization Recommendations:
Commence with baseline defaults; iteratively refine parameters isolating individual impacts.
Evaluate adjustments independently prior to combined modifications minimizing disruptions.
Prioritize minimizing erroneous trigger occurrences first optimizing signal fidelity.
Sustain balanced risk-reward profiles irrespective of chosen settings upholding disciplined approaches.
ADVANCED RISK MANAGEMENT
🛡️ Proactive Risk Mitigation Techniques:
Enforce strict compliance with pre-defined maximum leverage constraints adhering strictly to guidelines.
Mandatorily apply trailing stop-loss orders conforming to script outputs reinforcing discipline.
Allocate positions proportionately relative to available capital reserves managing exposures prudently.
Conduct periodic reviews gauging strategy effectiveness rigorously identifying areas needing refinement.
⚠️ Potential Pitfalls & Solutions:
Address frequent violations arising during heightened volatility phases necessitating manual interventions judiciously.
Manage false alerts warranting immediate attention avoiding adverse consequences systematically.
Prepare contingency plans mitigating margin call possibilities preparing proactive responses effectively.
Continuously assess automated system reliability amidst fluctuating conditions ensuring seamless functionality.
PERFORMANCE AUDITS & REFINEMENTS
🔍 Critical Evaluation Metrics:
Assess win percentages consistently across diverse trading instruments gauging reliability.
Calculate average profit ratios per successful execution measuring profitability efficiency accurately.
Measure peak drawdown durations alongside associated magnitudes evaluating downside risks comprehensively.
Analyze signal generation frequencies revealing hidden patterns potentially skewing outcomes uncovering systematic biases.
📈 Historical Data Analysis Tools:
Maintain comprehensive records capturing every triggered event meticulously documenting results.
Compare realized profits/losses against backtested simulations benchmarking actual vs expected performances accurately.
Identify recurrent systematic errors demanding corrective actions implementing iterative refinements steadily.
Document evolving performance metrics tracking progress dynamically addressing identified shortcomings proactively.
PROBLEM SOLVING ADVICE
🔧 Frequent Encountered Challenges:
Unpredictable behaviors emerging within thinly traded markets requiring filtration processes.
Latency issues manifesting during abrupt price fluctuations causing missed opportunities.
Overfitted models yielding suboptimal results post-extensive tuning demanding recalibrations.
Inaccuracies stemming from incomplete/inaccurate data feeds necessitating verification procedures.
💡 Effective Resolution Pathways:
Exclude low-liquidity assets prone to erratic movements enhancing signal integrity.
Introduce buffer intervals safeguarding major news/event impacts mitigating distortions effectively.
Limit ongoing optimization attempts preventing model degradation maintaining optimal performance levels consistently.
Verify reliable connections ensuring uninterrupted data flows guaranteeing accurate interpretations reliably.
USER ENGAGEMENT SEGMENT
🤝 Community Contributions Welcome
Highly encourage active participation sharing experiences & recommendations!
AQPRO Pattern Map
📝 INTRODUCTION
AQPRO Pattern Map is a comprehensive trading tool designed to automate the detection of 27 most popular candlestick patterns across any financial asset, making it a powerful tool for traders who use strategies, which are based on candlestick patterns.
This indicator not only identifies candlestick patterns but also incorporates multi-timeframe (MTF) analysis , risk management tools like Take-Profit (TP) and Stop-Loss (SL) , and labeled visual cues for effortless chart reading. Below is the complete list of patterns it supports:
📜 Patterns scanned by the indicator:
One-candle patterns:
Hammer;
Shooting Star;
Marubozu (Bullish/Bearish);
Doji.
Two-candle patterns:
Belt Hold (Bullish/Bearish);
Engulfing (Bullish/Bearish);
Harami (Bullish/Bearish);
Harami Cross (Bullish/Bearish);
Kicker (Bullish/Bearish);
Window (Rising/Falling Gap);
Piercing Line / Dark Cloud Cover.
Three-candle patterns:
Outside Up / Down Bar;
Inside Up / Down Bar;
Morning Star / Evening Star;
Three White Soldiers / Three Black Crows;
Advance Block / Descent Block;
Tasuki Gap (Upside/Downside);
Side-by-Side White Lines.
Multi-candle patterns:
Rising One / Falling One;
Rising Two / Falling Two;
Rising Three / Falling Three;
Rising Four / Falling Four;
Rising Five / Falling Five;
Breakaway Two / Three / Four / Five (Bullish/Bearish);
Fakey (Bullish/Bearish).
With this tool, traders can visually and systematically track key candlestick setups across multiple timeframes simultaneously, making it an all-in-one solution for identifying actionable patterns.
🎯 PURPOSE OF USAGE
The primary goal of the "AQPRO Pattern Map" is to equip traders with a highly efficient way of identifying significant candlestick patterns across different timeframes, making the decision-making process stronger in a sense of both quality and quantity of presented information.
Specifically, this indicator addresses the following needs:
Automation of pattern detection.
Nobody likes searching for patterns on the chart "by hand", because it takes too much time and mental energy. With this screener you can forget about this problem: automatic scanning for 27 of the most commonly used patterns will save your tens, if not hundreds of hours of time, so you can focus on what really matters;
Multi-timeframe (MTF) analysis.
This one is one of the most unique features of this indicator, because after conducting product research in library of open-source scripts alike this screener, almost none of reviewed indicators had MTF analysis feature embedded in them. This feature is important for the simplest of reasons: you see candlestick data from other timeframes without jumping from one timeframe to another . Needless to say how much time it will save for traders over the years of trading. See description below to learn more on exact functionality of our MTF analysis;
Risk management automation.
Humans tend to overestimate risk, when matters are about earning money from "financially-dangerous" activities and trading is no exception. To help traders better understand what they risk, we implemented a simple, yet effective way of displaying levels of risk for each pattern. For each new pattern on the chart you will be able see automatic creation of Take-Profit (TP) and Stop-Loss (SL) levels. It involves creation and displaying of lines and labels, representing each level at its exact coordinates. This elevates visual perception of risk for fellow traders and avoid excessive risk in many cases;
Simplicity in data visualization.
Charts, which are cluttered with pointless visual noise, presented as 'additional confirmation analysis', don't foster insights and are not worth a dime . We understand this issue very well and we designed our indicator with the solution to this problem in mind. Every bit of information, that you will see on your chart, will make sense both technically and visually — no more wasting time cleaning mess on your charts.
By addressing the needs, described above, this indicator will be a useful tool for any trader, who employs principles of candlestick pattern analysis, because most important pains of this kind of analysis are efficiently handled by our indicator.
⚙️ SETTINGS OVERVIEW
Customization options of our indicator are quite extensive, because flexibility in such indicator is in the top of most important qualities. Let's review each group of settings deeper:
📊 Patterns: One-Candle
This group allows you to enable or disable specific onep -candle candlestick patterns.
Toggle on/off switch for Hammer, Shooting Star, Marubozu, and Doji .
📊 Patterns: Two-Candle
This group allows you to enable or disable specific two -candle candlestick patterns.
Toggle on/off switch for Belt Hold, Engulfing, Harami & Harami Cross, Kicker, Window, Piercing Line & Dark Cloud Cover .
📊 Patterns: Three-Candle
This group allows you to enable or disable specific three -candle candlestick patterns.
Toggle on/off switch for Morning Star & Evening Star, Three White Soldiers, Three Black Crows, Advance Block & Descent Block, Tasuki Gap, Side-by-Side Gap (Bullish), Squeeze .
📊 Patterns: Multi-Candle
This group allows you to enable or disable specific multi -candle (3 or more candle) candlestick patterns.
Toggle on/off switch for Rising/Falling sequences, Breakaway patterns, and Fakey .
📊 MTF Settings
These settings allow you to use the Multi-Timeframe Screener to display patterns from additional timeframes.
"Use MTF Screener" — toggles the addition of MTF Screener to main dashboard ( described in 'Visual Settings' ). If enabled, adds section of MTF Screener below main dashboard
* List of four timeframes — your personal list to choose your timeframe, which will be used to get data about latest patterns. Default list of timeframes includes timeframes like 15min, 30min 1hr, 4hr .
* The detected patterns from these timeframes will be displayed in the MTF Dashboard on the chart.
🛡️ Risk Settings
As was described above, risk settings in our indicator will control appearance of TP and SL labels and lines, which appear for each new trade. Here you can customize the most essential parameters.
"Show TP/SL" — toggles the visibility of Take-Profit (TP) and Stop-Loss (SL) values for the most recent pattern.
"Risk-to-Reward Ratio (R:R)" — defines your desired risk/reward ratio for the TP and SL calculations. The more this parameter is, the further the TP from entry level will be.
🎨 Visual Settings
In this group of settings you can fine-tune the visual appearance of the indicator to fit your preferences.
IMPORTANT: colour parameters from this group of settings affect ONLY colours in the dashboard.
"Use info dashboard" — if enabled, shows dashboard in the top right corner of the chart, which displays latest pattern's TP and SL alongside with this pattern's trade status: '⏳' - TP or SL have not been reached yet, '✋' - TP or SL have already been reached already, refrain from taking the trade.
"Bullish Pattern" — defines the color for bullish patterns.
"Bearish Pattern" — defines the color for bearish patterns.
"Neutral Pattern" — specify the color for neutral patterns like Doji.
"Frame Width" — adjusts the thickness of frames highlighting detected patterns on the chart.
📈 APPLICATION GUIDE
The way of application of this indicator is pretty straightforward, because trading methodologies based on candlestick patterns were developed decades ago and haven't changed much since then. However, we find it necessary to explain the most essential ways of application in this section.
Let's start with the basics — how you will your chart look when you load the indicator for the first time:
By default we have 5 main visual data "blocks":
Bullish patterns;
Bearish patterns;
Risk visualization;
Main Dashboard;
MTF Screener.
Let's review each of these groups one by one.
BULLISH & BEARISH PATTERNS
Patterns are displayed as up/down labels, which are styled in corresponding to trend colours. Each patterns has its own unique emoji to help traders easily navigate between patterns.
Also by default each pattern has its custom frame, inside of which resides candle (or multiple candles) of the pattern iself. These frames are made with purpose to show each pattern in a very clear way on the chart, because huge number of public scripts usually only show simple label of such patterns and don't highlight the pattern itself on the chart. To remove frames you can set "Frame Width" parameter to 0 in 'Visual Settings' group in the settings.
You can see the examples of frame on the screenshot below:
RISK VISUALIZATION (TP & SL)
Displaying Take-Profits and Stop-Losses in our indicator on the chart works quite simple: for each new trade indicator creates new pairs of lines and labels for TP and SL, while lines & labels from previous trade are erased for aesthetics purposes. Each label shows price coordinates, so that each trader would be able to grap the numbers in seconds.
See the visual showcase of TP & SL visualization on the screenshot below:
Also, whenever TP or SL of the current trade is reached, drawing of both TP and SL stops . When the TP is reached, additional '✅' emoji on the TP price is shown as confirmation of Take-Profit.
However, while TP or SL has not been reached, TP&SL labels and lines will be prolonged until one of them will be reached or new signals will come.
See the visual showcase of TP & SL stopping being visualized & TP on the screenshot below:
MAIN DASHBOARD
Main dashboard is displayed in the top right corner of the chart and it shows the data of latest pattern, that occurred on the current asset and current timeframe: pattern's name, TP, SL and trade status. Depending on bullishness or bearishness of the pattern, dashboard is colour in respective colour.
Also on the right of side TP and SL data block there is a so called trade status. It is basically an indication of wether or not latest pattern's trade is still active or not:
If TP or SL of the pattern have not been reached yet, trade is considered active and is marked with '⏳' emoji;
If TP or SL of the pattern have already been reached, trade is considered inactive and is marked with '✋' emoji.
See the visual showcase of dashboard on the screenshot below:
MTF Screener
MTF Screener is displayed right below the main dashboard and its has distinctive 'MTF Patterns' header row on the top, painted in gray colour to make sure that every traders understand he is looking at.
This screener shows the timeframe and name of patterns from four other timeframes, which trader can customize in the settings to his liking. This will help trader get more insights on global sentiment of other timeframes, which improves trading results overall if applied correctly.
In the future MTF Screener will be expanded to have more data in it, like TP and SL, age of pattern and etc.
See the visual showcase of the MTF Screener on the screenshot below:
Features, explained above, make this indicator quite versatile and suitable for incorporation in any trading strategy, which uses candlestick patterns. They are simple, yet insightful, and traders, which use similar strategies everyday, will truly appreciate the benefits of this indicator when they will set up this indicator for the first time on their chart.
🔔 ALERTS
This indicator employs alerts for an event when new pattern occurs. While creating the alert below 'Condition' field choose 'any alert() function call' .
When this alert is triggered, it will generate this kind of message:
string msg_template = "EXCHANGE:ASSET, TIMEFRAME: BULLISH_OR_BEARISH pattern PATTERN_NAME was found."
string msg_example = "BINANCE:BTCUSDT, 15m: bullish pattern 'Hammer' was found."
📌 NOTES
This indicator is most effective when used in combination with other technical analysis tools such as trendlines, moving averages, support/resistance levels or any other indicator-type tool. We strongly recommend using this indicator as confirmation indicator for your main trading strategy, not as primary source of signals;
If you want to trade directly by these patterns, make sure to use proper risk management techniques of your own and use TP&SL visualization on the chart to always have a clue about your current position;
If you lost track of visual components on the chart, look at the main dashboard to see text summary of data from latest pattern. Also don't forget to look at MTF Screener to have more context about MTF sentiment, because it is increases your understandings of MTF price trend and improves your decision-making process.
🏁 AFTERWORD
AQPRO Pattern Map was built to help traders automate candlestick pattern searching routine, improve chart readability and enhance perception of current potential risks, which may come from trading from a specific pattern. Indicator's main dashboard and MTF screener eliminate the need for constantly checking other timeframe for global sentiment, helping traders save even more time and fostering improved decision making.
This indicator will work in great conjunction with any other trading strategy as confirmation tool for entry decision. Using this indicator as primary source of signals is not recommended due to unstable nature of trading patterns.
ℹ️ If you have questions about this or any other our indicator, please leave it in the comments.
Best SMA FinderThis script, Best SMA Finder, is a tool designed to identify the most robust simple moving average (SMA) length for a given chart, based on historical backtest performance. It evaluates hundreds of SMA values (from 10 to 1000) and selects the one that provides the best balance between profitability, consistency, and trade frequency.
What it does:
The script performs individual backtests for each SMA length using either "Long Only" or "Buy & Sell" logic, as selected by the user. For each tested SMA, it computes:
- Total number of trades
- Profit Factor (total profits / total losses)
- Win Rate
- A composite Robustness Score, which integrates Profit Factor, number of trades (log-scaled), and win rate.
Only SMA configurations that meet the user-defined minimum trade count are considered valid. Among all valid candidates, the script selects the SMA length with the highest robustness score and plots it on the chart.
How to use it:
- Choose the strategy type: "Long Only" or "Buy & Sell"
- Set the minimum trade count to filter out statistically irrelevant results
- Enable or disable the summary stats table (default: enabled)
The selected optimal SMA is plotted on the chart in blue. The optional table in the top-right corner shows the corresponding SMA length, trade count, Profit Factor, Win Rate, and Robustness Score for transparency.
Key Features:
- Exhaustive SMA optimization across 991 values
- Customizable trade direction and minimum trade filters
- In-chart visualization of results via table and plotted optimal SMA
- Uses a custom robustness formula to rank SMA lengths
Use cases:
Ideal for traders who want to backtest and auto-select a historically effective SMA without manual trial-and-error. Useful for swing and trend-following strategies across different timeframes.
📌 Limitations:
- Not a full trading strategy with position sizing or stop-loss logic
- Only one entry per direction at a time is allowed
- Designed for exploration and optimization, not as a ready-to-trade system
This script is open-source and built entirely from original code and logic. It does not replicate any closed-source script or reuse significant external open-source components.
Breadth Thrust PRO by Martin E. ZweigThe Breadth Thrust Indicator was developed by Martin E. Zweig (1942-2013), a renowned American stock investor, investment adviser, and financial analyst who gained prominence for predicting the market crash of 1987 (Zweig, 1986; Colby, 2003). Zweig defined a "breadth thrust" as a 10-day period where the ratio of advancing stocks to total issues traded rises from below 40% to above 61.5%, indicating a powerful shift in market momentum potentially signaling the beginning of a new bull market (Zweig, 1994).
Methodology
The Breadth Thrust Indicator measures market momentum by analyzing the relationship between advancing and declining issues on the New York Stock Exchange. The classical formula calculates a ratio derived from:
Breadth Thrust = Advancing Issues / (Advancing Issues + Declining Issues)
This ratio is typically smoothed using a moving average, most commonly a 10-day period as originally specified by Zweig (1986).
The PRO version enhances this methodology by incorporating:
Volume weighting to account for trading intensity
Multiple smoothing methods (SMA, EMA, WMA, VWMA, RMA, HMA)
Logarithmic transformations for better scale representation
Adjustable threshold parameters
As Elder (2002, p.178) notes, "The strength of the Breadth Thrust lies in its ability to quantify market participation across a broad spectrum of securities, rather than focusing solely on price movements of major indices."
Signal Interpretation
The original Breadth Thrust interpretation established by Zweig identifies two critical thresholds:
Low Threshold (0.40): Indicates a potentially oversold market condition
High Threshold (0.615): When reached after being below the low threshold, generates a Breadth Thrust signal
Zweig (1994, p.123) emphasizes: "When the indicator moves from below 0.40 to above 0.615 within a 10-day period, it signals an explosive upside breadth situation that historically has led to significant intermediate to long-term market advances."
Kirkpatrick and Dahlquist (2016) validate this observation, noting that genuine Breadth Thrust signals have preceded market rallies averaging 24.6% in the subsequent 11-month period based on historical data from 1940-2010.
Zweig's Application
Martin Zweig utilized the Breadth Thrust Indicator as a cornerstone of his broader market analysis framework. According to his methodology, the Breadth Thrust was most effective when:
Integrated with monetary conditions analysis
Confirmed by trend-following indicators
Applied during periods of market bottoming after significant downturns
In his seminal work "Winning on Wall Street" (1994), Zweig explains that the Breadth Thrust "separates genuine market bottoms from bear market rallies by measuring the ferocity of buying pressure." He frequently cited the classic Breadth Thrust signals of October 1966, August 1982, and March 2009 as textbook examples that preceded major bull markets (Zweig, 1994; Appel, 2005).
The PRO Enhancement
The PRO version of Zweig's Breadth Thrust introduces several methodological improvements:
Volume-Weighted Analysis: Incorporates trading volume to account for significance of price movements, as suggested by Fosback (1995) who demonstrated improved signal accuracy when volume is considered.
Adaptive Smoothing: Multiple smoothing methodologies allow for sensitivity adjustment based on market conditions.
Visual Enhancements: Dynamic color signaling and historical signal tracking facilitate pattern recognition.
Contrarian Option: Allows for inversion of signals to identify potential counter-trend opportunities, following Lo and MacKinlay's (1990) research on contrarian strategies.
Empirical Evidence
Research by Bulkowski (2013) found that classic Breadth Thrust signals have preceded market advances in 83% of occurrences since 1950, with an average gain of 22.4% in the 12 months following the signal. More recent analysis by Bhardwaj and Brooks (2018) confirms the indicator's continued effectiveness, particularly during periods of market dislocation.
Statistical analysis of NYSE data from 1970-2020 reveals that Breadth Thrust signals have demonstrated a statistically significant predictive capability with p-values < 0.05 for subsequent 6-month returns compared to random market entries (Lo & MacKinlay, 2002; Bhardwaj & Brooks, 2018).
Practical Implementation
To effectively implement the Breadth Thrust PRO indicator:
Monitor for Oversold Conditions: Watch for the indicator to fall below the 0.40 threshold, indicating potential bottoming.
Identify Rapid Improvement: The critical signal occurs when the indicator rises from below 0.40 to above 0.615 within a 10-day period.
Confirm with Volume: In the PRO implementation, ensure volume patterns support the breadth movement.
Adjust Parameters Based on Market Regime: Higher volatility environments may require adjusted thresholds as suggested by Faber (2013).
As Murphy (2004, p.285) advises: "The Breadth Thrust works best when viewed as part of a comprehensive technical analysis framework rather than in isolation."
References
Appel, G. (2005) Technical Analysis: Power Tools for Active Investors. Financial Times Prentice Hall, pp. 187-192.
Bhardwaj, G. and Brooks, R. (2018) 'Revisiting Market Breadth Indicators: Empirical Evidence from Global Equity Markets', Journal of Financial Research, 41(2), pp. 203-219.
Bulkowski, T.N. (2013) Trading Classic Chart Patterns. Wiley Trading, pp. 315-328.
Colby, R.W. (2003) The Encyclopedia of Technical Market Indicators, 2nd Edition. McGraw-Hill, pp. 123-126.
Elder, A. (2002) Come Into My Trading Room: A Complete Guide to Trading. John Wiley & Sons, pp. 175-183.
Faber, M.T. (2013) 'A Quantitative Approach to Tactical Asset Allocation', Journal of Wealth Management, 16(1), pp. 69-79.
Fosback, N. (1995) Stock Market Logic: A Sophisticated Approach to Profits on Wall Street. Dearborn Financial Publishing, pp. 112-118.
Kirkpatrick, C.D. and Dahlquist, J.R. (2016) Technical Analysis: The Complete Resource for Financial Market Technicians, 3rd Edition. FT Press, pp. 432-438.
Lo, A.W. and MacKinlay, A.C. (1990) 'When Are Contrarian Profits Due to Stock Market Overreaction?', The Review of Financial Studies, 3(2), pp. 175-205.
Lo, A.W. and MacKinlay, A.C. (2002) A Non-Random Walk Down Wall Street. Princeton University Press, pp. 207-214.
Murphy, J.J. (2004) Intermarket Analysis: Profiting from Global Market Relationships. Wiley Trading, pp. 283-292.
Zweig, M.E. (1986) Martin Zweig's Winning on Wall Street. Warner Books, pp. 87-96.
Zweig, M.E. (1994) Winning on Wall Street, Revised Edition. Warner Books, pp. 121-129.
Another EMA trend indicator"Another EMA Trend Indicator" is a dynamic trend-following tool. Blending customizable Moving Averages (EMA or SMA) with an automated, visualized trade management system. It identifies bullish and bearish trend shifts based on short- and long-term MA crossovers, dynamically calculates optimal entry points, stop-losses, and take-profits, and visually manages trades on the chart with optional clouds, lines, and labels.
Main Features:
Moving Average Trend Detection:
Choice between EMA (Exponential Moving Average) or SMA (Simple Moving Average).
Two customizable lengths: a short MA and a long MA.
Detects bullish and bearish switches based on MA crossover events.
Entry, SL, and TP Calculation:
Entries are calculated dynamically after a signal using a combination of historical candle high/low analysis and a risk divider.
Stop-loss and take-profit levels are automatically set based on the trend's recent volatility and user-defined risk parameters.
Supports fixed or dynamic profit targets.
Risk Management Settings:
Define minimum and maximum acceptable profit percentages.
Set maximum stop-loss distance and apply a stop-loss multiplier for added flexibility.
Limit maximum trade duration to avoid endless open trades.
Trade Visualization:
Optional debug mode to display:
Entry, stop-loss, and take-profit lines.
Buy/sell signals via shapes on the chart.
Trend cloud between short and long MAs.
Historical trend levels for better visualization.
Dynamic Statistics Panel:
Real-time display of:
First trade date.
Total number of trades.
Number of profitable and losing trades.
Average and maximum trade duration.
Win rate and average profit/loss percentages.
Inputs:
MA Type: Choose between "EMA" or "SMA."
Short/Long MA Length: Customize lengths to control sensitivity.
Source: Apply to typical price values like hl2.
Risk Settings:
Minimum, maximum, and fixed profit percentages.
Stop-loss settings and risk dividers.
Trade Behavior Settings:
Max trade length.
Visualization Toggles:
Show/hide debug labels, lines, clouds.
Use Case:
This indicator is ideal for trend-following traders who prefer a semi-automated trading framework. It helps maintain consistency in entries and exits while visualizing important trend dynamics and trade health directly on the chart.
Best suited for swing trading crypto coins.
MÈGAS ALGO : CNA (Cognitio Analysis) [INDICATOR]Overview
The CNA (Cognitio Analysis) is a comprehensive financial analysis tool designed to evaluate the overall health and potential of a market or company based on fundamental metrics. It aggregates data across five key metric groups—**Growth**, **Profitability**, **Cash Flow**, **Income**, and **Valuation**—to provide a final interpretation of market conditions. The indicator dynamically adapts to the selected fiscal period (Quarter, Year, or Trailing Twelve Months) and delivers insights into dominant trends and conflicting signals.
Key Features
1. Customizable Fiscal Period:
- Users can select between "Quarter", "Year", or "Trailing Twelve Months" (TTM) to analyze data for their desired timeframe.
2. Dynamic Table Visualization:
- Displays raw metric values, aggregated scores, and the final interpretation in an intuitive
table.
- Highlights the final interpretation with dynamic background colors (`color.teal` for bullish,
`color.red` for bearish, etc.).
3. Comprehensive Data Integration:
- Pulls financial data using TradingView's `request.financial()` function for metrics like
revenue, earnings, margins, and valuation ratios.
4. Normalization and Scoring:
- Normalizes data to create a consistent scoring system, ensuring accurate comparisons across
metrics.
How It Works
1. Metric Group Analysis
- Growth Metrics: Measures revenue growth, earnings per share (EPS) growth, and tax
efficiency.
- Profitability Metrics: Analyzes net profit margin, return on equity (ROE), and EBITDA margin.
- Cash Metrics: Assesses operating cash flow margin, free cash flow to operating cash flow
ratio, and cash flow coverage.
- Income Metrics: Examines gross profit margin, operating profit margin, and EBIT margin.
- Valuation Metrics: Evaluates price-to-earnings (P/E), price-to-sales (P/S), and enterprise
value-to-EBITDA (EV/EBITDA).
2. Dynamic Scoring System
- Metrics are normalized to ensure consistency across different scales.
- A geometric mean is used to calculate scores for each metric group, ensuring that all metrics
within a group contribute equally to the final score.
3. Dominant Trend Identification
- Scores from all five metric groups are aggregated to determine the **dominant trend** of the
market.
- The dominant trend is categorized as:
- Bullish: Strong fundamentals across most metrics.
- Bearish: Weak fundamentals across most metrics.
- Neutral: Balanced conditions with no clear direction.
- Unclear: Mixed signals dominate, requiring further monitoring.
4. Conflicting Signals Interpretation
- The indicator identifies scenarios where metrics conflict (e.g., high growth but low valuation).
- These conflicting signals provide nuanced insights into market conditions, highlighting rare opportunities or potential risks.
How to Use the Indicator
1. Select Fiscal Period:
- Choose between "FQ", "FY", or "TTM" to analyze data for the desired timeframe.
2. Review Metric Scores:
- Examine the scores for each metric group (Growth, Profitability, Cash, Income, Valuation) to
understand the underlying performance.
3. Interpret Final Output:
- The final interpretation provides a summary of the dominant trend and conflicting signals,
helping users make informed decisions.
4. Dynamic Coloring:
- Use the dynamic background colors in the table to quickly identify market sentiment
(bullish, bearish, neutral, or mixed).
Applications
- Identifying Opportunities:
- Look for bullish dominant trends combined with undervalued growth opportunities for
potential long positions.
- Avoiding Risks:
- Watch out for bearish dominant trends with overvaluation alerts to avoid potential losses.
- Monitoring Neutral Markets:
- Use the indicator to identify neutral markets and wait for clearer signals before making
decisions.
Conclusion
The CNA (Cognitio Analysis) is a powerful tool for traders and investors seeking to make informed decisions based on fundamental analysis. By combining detailed metric evaluations, dynamic scoring, and sentiment-based interpretations, this indicator provides a comprehensive view of market conditions. Whether you're identifying undervalued opportunities, avoiding overvalued risks, or monitoring neutral markets, this indicator equips you with the insights needed to navigate complex financial landscapes.
Please Note:
This indicator is provided for informational and educational purposes only. It is not financial advice, and it should not be considered a recommendation to buy, sell, or trade any financial instrument. Trading involves significant risks, including the potential loss of your entire investment. Always conduct your own research and consult with a licensed financial advisor before making any trading decisions.
The results and images provided are based on algorithms and historical/paid real-time market data but do not guarantee future results or accuracy. Use this tool at your own risk, and understand that past performance is not indicative of future outc
Heiken Ashi Supertrend ADXHeiken Ashi Supertrend ADX Indicator
Overview
This indicator combines the power of Heiken Ashi candles, Supertrend indicator, and ADX filter to identify strong trend movements across multiple timeframes. Designed primarily for the cryptocurrency market but adaptable to any tradable asset, this system focuses on capturing momentum in established trends while employing a sophisticated triple-layer stop loss mechanism to protect capital and secure profits.
Strategy Mechanics
Entry Signals
The strategy uses a unique blend of technical signals to identify high-probability trade entries:
Heiken Ashi Candles: Looks specifically for Heiken Ashi candles with minimal or no wicks, which signal strong momentum and trend continuation. These "full-bodied" candles represent periods where price moved decisively in one direction with minimal retracement. These are overlayed onto normal candes for more accuarte signalling and plotting
Supertrend Filter: Confirms the underlying trend direction using the Supertrend indicator (default factor: 3.0, ATR period: 10). Entries are aligned with the prevailing Supertrend direction.
ADX Filter (Optional) : Can be enabled to focus only on stronger trending conditions, filtering out choppy or ranging markets. When enabled, trades only trigger when ADX is above the specified threshold (default: 25).
Exit Signals
Positions are closed when either:
An opposing signal appears (Heiken Ashi candle with no wick in the opposite direction)
Any of the three stop loss mechanisms are triggered
Triple-Layer Stop Loss System
The strategy employs a sophisticated three-tier stop loss approach:
ATR Trailing Stop: Adapts to market volatility and locks in profits as the trend extends. This stop moves in the direction of the trade, capturing profit without exiting too early during normal price fluctuations.
Swing Point Stop: Uses natural market structure (recent highs/lows over a lookback period) to place stops at logical support/resistance levels, honoring the market's own rhythm.
Insurance Stop: A percentage-based safety net that protects against sudden adverse moves immediately after entry. This is particularly valuable when the swing point stop might be positioned too far from entry, providing immediate capital protection.
Optimization Features
Customizable Filters : All components (Supertrend, ADX) can be enabled/disabled to adapt to different market conditions
Adjustable Parameters : Fine-tune ATR periods, Supertrend factors, and ADX thresholds
Flexible Stop Loss Settings : Each of the three stop loss mechanisms can be individually enabled/disabled with customizable parameters
Best Practices for Implementation
[Recommended Timeframes : Works best on 4-hour charts and above, where trends develop more reliably
Market Conditions: Performs well across various market conditions due to the ADX filter's ability to identify meaningful trends
Performance Characteristics
When properly optimized, this has demonstrated profit factors exceeding 3 in backtesting. The approach typically produces generous winners while limiting losses through its multi-layered stop loss system. The ATR trailing stop is particularly effective at capturing extended trends, while the insurance stop provides immediate protection against adverse moves.
The visual components on the chart make it easy to follow the strategy's logic, with position status, entry prices, and current stop levels clearly displayed.
This indicator represents a complete trading system with clearly defined entry and exit rules, adaptive stop loss mechanisms, and built-in risk management through position sizing.
RSI VWAP POC [Uncle Sam Trading]Category: Oscillators, Volume, Market Profile
Timeframe: Suitable for all timeframes
Markets: Crypto, Forex, Stocks, Commodities
Overview
The RSI VWAP POC indicator is a powerful and innovative oscillator that combines the Relative Strength Index (RSI), Volume-Weighted Average Price (VWAP), and Point of Control (POC) from market profile analysis. Designed to provide traders with clear, high-probability trading signals, this indicator helps you identify key market levels, spot overbought/oversold conditions, and time your entries and exits with precision. Whether you’re a day trader, swing trader, or scalper, this free tool adds significant value to your trading strategy by offering a unique blend of momentum, volume, and market profile insights.
How It Works
This indicator integrates three core components to deliver actionable insights:
RSI (Relative Strength Index): Measures momentum to identify overbought (above 70) and oversold (below 30) conditions, helping you anticipate potential reversals.
VWAP (Volume-Weighted Average Price): Calculates a volume-weighted price benchmark, which is used to compute a more accurate, volume-sensitive RSI. This ensures the indicator reflects true market dynamics.
POC (Point of Control): Derived from market profile analysis, the POC represents the price level with the highest traded volume in a session, acting as a critical support or resistance level.
The indicator plots a smoothed RSI based on VWAP, overlaid with market profile data on a user-defined higher timeframe (default: 4H). The POC is displayed as a red line, with aqua bars indicating the value area where the majority of trading volume occurred. When the RSI crosses the POC, the indicator generates clear buy and sell signals:
Strong Buy (SBU): RSI crosses above the POC in an oversold zone.
Strong Sell (SBD): RSI crosses below the POC in an overbought zone.
Additional features include:
Background colors to highlight bullish (green) or bearish (red) trends.
Shaded zones for overbought (70/60) and oversold (30/40) levels.
Customizable settings to fit your trading style and timeframe.
How This Indicator Adds Value
The RSI VWAP POC indicator offers several key benefits that enhance your trading performance:
High-Probability Signals: By combining RSI, VWAP, and POC, this indicator identifies trades at key market levels where price is likely to react, increasing your win rate.
Improved Timing: Clear buy and sell signals, such as ‘SBU’ and ‘SBD’, help you enter and exit trades at optimal points, maximizing profitability.
Risk Management: Overbought/oversold zones and trend confirmation via background colors help you avoid false signals, protecting your capital.
Versatility: Suitable for all markets (crypto, forex, stocks) and timeframes, making it a valuable tool for traders of all experience levels.
Time Efficiency: The indicator does the heavy lifting by analyzing momentum, volume, and market profile data, allowing you to focus on executing trades.
Real-World Performance Example: On a 1-hour Bitcoin chart with a 4-hour higher timeframe, this indicator identified a strong sell signal on April 6th at 12:00 ($82,000), leading to a 9% drop to $74,600. A subsequent strong buy signal on April 7th at 04:00 ($76,200) captured a 6% rise to $81,200 – a potential 25% profit with 5x leverage if exited at 5%.
How to Use
Add the Indicator: Search for “RSI VWAP POC ” in TradingView’s indicator library and add it to your chart.
Set Your Timeframe: The indicator works on any timeframe but is optimized for a 1-hour chart with a 4-hour higher timeframe (set in the settings).
Interpret Signals:
Look for ‘SBU’ (strong buy) labels when the RSI crosses above the POC in an oversold zone, indicating a potential buying opportunity.
Look for ‘SBD’ (strong sell) labels when the RSI crosses below the POC in an overbought zone, signaling a potential selling opportunity.
Use the background colors (green for bullish, red for bearish) to confirm the trend.
Combine with Your Strategy: Use the indicator alongside your existing analysis (e.g., support/resistance, candlestick patterns) for best results.
Settings and Customization
The indicator is highly customizable to suit your trading needs:
RSI Length (Default: 14): Adjust the sensitivity of the RSI. Use a shorter length (e.g., 10) for scalping, or a longer length (e.g., 20) for smoother signals.
EMA Smoothing Length (Default: 3): Smooths the RSI line. Increase to 5 or 7 for less choppy signals in volatile markets.
Higher Timeframe (Default: 240 minutes): Set to 240 (4 hours) for a 1-hour chart. Adjust based on your chart’s timeframe (e.g., 60 minutes for a 15-minute chart).
Value Area Percentage (Default: 100%): Defines the size of the value area around the POC. Lower to 70% for a tighter focus on key levels.
Overbought/Oversold Thresholds (Defaults: 70/30): Adjust these levels to match market conditions (e.g., 80/20 for trending markets).
Show POC Line (Default: True): Toggle the red POC line on or off.
Show Buy/Sell Signals: Enable ‘Show Strong Breakup Signals’ and ‘Show Strong Breakdown Signals’ to focus on high-probability trades.
Why Choose This Indicator?
The RSI VWAP POC indicator stands out by offering a unique combination of momentum, volume, and market profile analysis in a single, easy-to-use tool. It’s designed to help traders of all levels make informed decisions, reduce risk, and increase profitability. Whether you’re trading Bitcoin, forex pairs, or stocks, this indicator provides the clarity and precision you need to succeed.
Portfolio Monitor - DolphinTradeBot1️⃣ Overview
▪️This indicator unifies the value of all your investments—whether stocks, currencies, or cryptocurrencies—in your chosen currency. This tool not only provides a clear snapshot of your overall portfolio performance but also highlights the individual growth of each asset with intuitive visualizations and an easy-to-understand performance report.
2️⃣ What sets this indicator apart
▪️is its ability to convert values from various currency pairs into any currency you choose. This means you can monitor your portfolio's performance against any currency pair you prefer, offering a flexible and comprehensive view of your investments.
3️⃣ How Is It Work ?
🔍The indicator can be analyzed under two main categories: visual representations and tables.
1- Visual representations ;
The indicator includes three different types of lines:
1. 1 - Reference Line → This represents the cost of all assets we hold, based on the selected date.
1. 2 - Total Assets Line → Displays the real-time value of all assets in our possession, including cash value, in the selected trading pair.
The area between the reference line is filled with green and red. The section above the reference line is represented in green, while the section below is shown in red.
1. 3 - Performance Lines → These visualize the performance of the assets, starting from the reference line and taking into account their weights in the portfolio. (Note: The lines are scaled for visualization purposes, so their absolute values should not be considered.)
"The names of the lines are shown in the image below."⤵️
2- Tables
The indicator includes three different types of tables:
2. 1 - Analysis Table : It provides a superficial overview of wallet statistics and values.
▪️TOTAL ASSETS → The current equivalent of all assets in the target currency
▪️CASH VALUE → The current value of the amount "Cash Value", in the target currency.
▪️PORTFOLIO VALUE → The total value of assets excluding Cash, in the target currency.
▪️POSTFOLIO COST → The cost of assets excluding Cash, in the target currency.
▪️PORTFOLIO ABSOLUTE RETURN → It shows the profit or loss relative to the cost of assets
▪️PORTFOLIO RETURN % →It shows the profit or loss relative to the cost of assets on a percentage basis
2. 2 - Performance Table : It displays the names of assets excluding Cash and their profit amounts, sorted from highest to lowest profit. If "Show as Percentage" is selected in the settings, it shows the percentage profit or loss relative to the cost. Profits are represented in green, while losses are represented in red.
"You can see the visual showing the tables below"⤵️
4️⃣How to Use ?
1- Choose the date on which the visualization will begin (📌The start date only affects the exchange rate used for calculating the reference line in the target currency.)
2- If you have cash holdings, enter the amount and specify the currency.
3- Select the currency in which your portfolio value will be displayed.(Default value is USD)
4- To set up your portfolio;
SYMBOLS - QUANTITY - PURCHASE PRICE
Enter the symbols of your assets - the number of units you hold - and their cost levels.
5- If you have cash, be sure to include your cash balance. If you also hold other currencies, enter them as separate assets with their corresponding quantities and purchase prices.
6- If you want to see the percentage returns of the assets in the performance table relative to their cost, select the "Show as Percent" option.
7- If you want to see the performance visuals of the assets, click on the "Show Asset Performance" option.
You can find an image of the settings section where the numbers above are used as references below.⤵️
📌 NOTE → By default, a few assets and their values have been pre-added in the initial settings. This is to ensure that you don’t see an empty screen when adding the indicator to the chart. Please remember to enter your own assets and values. The default settings are only provided as an example.
Enhanced Fuzzy SMA Analyzer (Multi-Output Proxy) [FibonacciFlux]EFzSMA: Decode Trend Quality, Conviction & Risk Beyond Simple Averages
Stop Relying on Lagging Averages Alone. Gain a Multi-Dimensional Edge.
The Challenge: Simple Moving Averages (SMAs) tell you where the price was , but they fail to capture the true quality, conviction, and sustainability of a trend. Relying solely on price crossing an average often leads to chasing weak moves, getting caught in choppy markets, or missing critical signs of trend exhaustion. Advanced traders need a more sophisticated lens to navigate complex market dynamics.
The Solution: Enhanced Fuzzy SMA Analyzer (EFzSMA)
EFzSMA is engineered to address these limitations head-on. It moves beyond simple price-average comparisons by employing a sophisticated Fuzzy Inference System (FIS) that intelligently integrates multiple critical market factors:
Price deviation from the SMA ( adaptively normalized for market volatility)
Momentum (Rate of Change - ROC)
Market Sentiment/Overheat (Relative Strength Index - RSI)
Market Volatility Context (Average True Range - ATR, optional)
Volume Dynamics (Volume relative to its MA, optional)
Instead of just a line on a chart, EFzSMA delivers a multi-dimensional assessment designed to give you deeper insights and a quantifiable edge.
Why EFzSMA? Gain Deeper Market Insights
EFzSMA empowers you to make more informed decisions by providing insights that simple averages cannot:
Assess True Trend Quality, Not Just Location: Is the price above the SMA simply because of a temporary spike, or is it supported by strong momentum, confirming volume, and stable volatility? EFzSMA's core fuzzyTrendScore (-1 to +1) evaluates the health of the trend, helping you distinguish robust moves from noise.
Quantify Signal Conviction: How reliable is the current trend signal? The Conviction Proxy (0 to 1) measures the internal consistency among the different market factors analyzed by the FIS. High conviction suggests factors are aligned, boosting confidence in the trend signal. Low conviction warns of conflicting signals, uncertainty, or potential consolidation – acting as a powerful filter against chasing weak moves.
// Simplified Concept: Conviction reflects agreement vs. conflict among fuzzy inputs
bullStrength = strength_SB + strength_WB
bearStrength = strength_SBe + strength_WBe
dominantStrength = max(bullStrength, bearStrength)
conflictingStrength = min(bullStrength, bearStrength) + strength_N
convictionProxy := (dominantStrength - conflictingStrength) / (dominantStrength + conflictingStrength + 1e-10)
// Modifiers (Volatility/Volume) applied...
Anticipate Potential Reversals: Trends don't last forever. The Reversal Risk Proxy (0 to 1) synthesizes multiple warning signs – like extreme RSI readings, surging volatility, or diverging volume – into a single, actionable metric. High reversal risk flags conditions often associated with trend exhaustion, providing early warnings to protect profits or consider counter-trend opportunities.
Adapt to Changing Market Regimes: Markets shift between high and low volatility. EFzSMA's unique Adaptive Deviation Normalization adjusts how it perceives price deviations based on recent market behavior (percentile rank). This ensures more consistent analysis whether the market is quiet or chaotic.
// Core Idea: Normalize deviation by recent volatility (percentile)
diff_abs_percentile = ta.percentile_linear_interpolation(abs(raw_diff), normLookback, percRank) + 1e-10
normalized_diff := raw_diff / diff_abs_percentile
// Fuzzy sets for 'normalized_diff' are thus adaptive to volatility
Integrate Complexity, Output Clarity: EFzSMA distills complex, multi-factor analysis into clear, interpretable outputs, helping you cut through market noise and focus on what truly matters for your decision-making process.
Interpreting the Multi-Dimensional Output
The true power of EFzSMA lies in analyzing its outputs together:
A high Trend Score (+0.8) is significant, but its reliability is amplified by high Conviction (0.9) and low Reversal Risk (0.2) . This indicates a strong, well-supported trend.
Conversely, the same high Trend Score (+0.8) coupled with low Conviction (0.3) and high Reversal Risk (0.7) signals caution – the trend might look strong superficially, but internal factors suggest weakness or impending exhaustion.
Use these combined insights to:
Filter Entry Signals: Require minimum Trend Score and Conviction levels.
Manage Risk: Consider reducing exposure or tightening stops when Reversal Risk climbs significantly, especially if Conviction drops.
Time Exits: Use rising Reversal Risk and falling Conviction as potential signals to take profits.
Identify Regime Shifts: Monitor how the relationship between the outputs changes over time.
Core Technology (Briefly)
EFzSMA leverages a Mamdani-style Fuzzy Inference System. Crisp inputs (normalized deviation, ROC, RSI, ATR%, Vol Ratio) are mapped to linguistic fuzzy sets ("Low", "High", "Positive", etc.). A rules engine evaluates combinations (e.g., "IF Deviation is LargePositive AND Momentum is StrongPositive THEN Trend is StrongBullish"). Modifiers based on Volatility and Volume context adjust rule strengths. Finally, the system aggregates these and defuzzifies them into the Trend Score, Conviction Proxy, and Reversal Risk Proxy. The key is the system's ability to handle ambiguity and combine multiple, potentially conflicting factors in a nuanced way, much like human expert reasoning.
Customization
While designed with robust defaults, EFzSMA offers granular control:
Adjust SMA, ROC, RSI, ATR, Volume MA lengths.
Fine-tune Normalization parameters (lookback, percentile). Note: Fuzzy set definitions for deviation are tuned for the normalized range.
Configure Volatility and Volume thresholds for fuzzy sets. Tuning these is crucial for specific assets/timeframes.
Toggle visual elements (Proxies, BG Color, Risk Shapes, Volatility-based Transparency).
Recommended Use & Caveats
EFzSMA is a sophisticated analytical tool, not a standalone "buy/sell" signal generator.
Use it to complement your existing strategy and analysis.
Always validate signals with price action, market structure, and other confirming factors.
Thorough backtesting and forward testing are essential to understand its behavior and tune parameters for your specific instruments and timeframes.
Fuzzy logic parameters (membership functions, rules) are based on general heuristics and may require optimization for specific market niches.
Disclaimer
Trading involves substantial risk. EFzSMA is provided for informational and analytical purposes only and does not constitute financial advice. No guarantee of profit is made or implied. Past performance is not indicative of future results. Use rigorous risk management practices.
Original Gann Swing Chart Rules [AlgoFuego]🔵 Original Gann Swing Chart Rules
An advanced indicator built on W.D. Gann’s original rules, enhanced with innovative mechanical trend-following methods.
🔹 Description
This indicator functions by balancing short-term adaptability with long-term trend analysis.
The indicator incorporates Gann’s principles alongside mechanical trend-following techniques to offer a structured method for analyzing trends and detecting potential market reversals.
Golden Rule: Non-trend bars are excluded from analysis, and each new bar is compared with the previous trend bar, it highlights significant swing points with greater clarity.
🔸 The core concept behind the golden rule on which this indicator is built.
The person watching the tide coming, wanting to pinpoint the exact spot that signals the high tide, places a stick in the sand at the points where the incoming waves reach until the stick reaches a position where the waves no longer rise, and eventually recedes enough to show that the tide has shifted.
This method is effective for monitoring and identifying tides and floods in the stock market.
🔸Rule 1: The trend bar is everything.
→It is a bar that forms a new high, low, or both.
🔸Rule 2: The professional traders track new highs and lows.
🔸Rule 3: The hidden bar is nothing.
→It is a bar that does not form a new high, low, or both.
🔸Rule 4: The sea has a wavy nature, and the market as well.
🔸Rule 5: The slope is the immediate direction of the swing.
Downward slope
→The downslope is the descending slope of a swing, shows a decline, reflecting a bearish price trend.
Upward slope
→The upslope is the ascending slope of a swing, shows an incline, reflecting a bullish price trend.
🔸Rule 6: The start and end of the movement are the swing points.
→The lowest or highest price of the last bar in the direction of the slope represents the swing point after the slopes direction changes.
Valley
→It is the lowest price of the last bar in a downslope before the market turns to a upslope.
End=> Downward slope and Start=> Upward slope
Peak
→It is the highest price of the last bar in a upslope before the market turns to an downslope.
End=> Upward slope and Start=> Downward slope
🔸Rule 7: The Golden Rule: Ignore all no-trend bars and compare the new bar with the previous trend bar.
→Applying the golden rule in upward slope
→Applying the golden rule in downward slope
🔸 Related content: Personal words of W.D Gann from the book Wall Street Stock Selector.
→"This was only one month's reaction the same as March 1925. The market held in a dull narrow range for about 2 months while accumulation was taking place and in June the main trend turned up again."
→The beginning of the main trend and the formation of the Valley.
→The beginning of the main trend and the formation of the Peak.
🔸 Rule 8: The Closing Price of the Bar to Understand Movement Direction.
Sequence is important
→ Downward bar
→ Upward bar
🔸 Outside Bar Rules
→Explanation of rules and calculations.
🔸 How does a trend start?
Upward trend
Trend change from Downward to Upward.
Prices must take out the nearest 'Peak' and the Trend was previously Downward.
A breakout above the previous peak signals a bullish reversal.
→ Model 1 - Dropping Valley Reversal
The market forms a dropping valley, followed by a breakout above the previous peak.
→ Model 2 - Equal Valley Reversal
The market forms an equal valley, followed by a breakout above the previous peak.
→ Model 3 - Rising Valley Reversal
The market forms a rising valley, followed by a breakout above the previous peak.
Downward trend
Trend change from Upward to Downward.
Prices must take out the nearest ‘Valley' and the Trend was previously Upward.
A breakdown below the previous valley signals a bearish reversal.
→ Model 1 - Rising Peak Reversal
The market forms a rising peak, followed by a breakdown below the previous valley.
→ Model 2 - Equal Peak Reversal
The market forms an equal peak, followed by a breakdown below the previous valley.
→ Model 3 - Dropping Peak Reversal
The market forms a dropping peak, followed by a breakdown below the previous valley.
🔸 The fractal nature of markets
Rising wave
→ The rising wave is the entire bull market between turning points
High point : When the Main trend turns from upward to downward, the peak of the primary trend is formed.
Dropping wave
→ The Dropping wave is the entire bear market between turning points.
Low point : When the Main trend turns from downward to upward, the primary trend valley is formed.
Fractal nature application.
Everything in one picture.
🔹 Features
Strict adherence to the rules: Follows the Original Gann Swing Chart Rules to detect swing points.
Fractal analysis: Uses trend bars and fractal analysis to identify swing points.
Robust functionality: Engineered to handle complex market conditions with advanced logic.
Custom alerts: Alerts for peak/valley completion, main and primary trend reversals & continuations.
Golden rule application: Filters out non-trend bars by comparing only with the last trend bar.
Reversal & trend detection: Applies eight outside bar rules to detect trend reversals and continuations.
Dynamic customization: Fully customizable settings.
🔹 Settings overview
Fine-tune the indicator to match your unique trading strategy by adjusting trend settings, customizing alerts, and modifying visualization options.
1. Main trend settings
Hide/Show Main trend options: Instantly hide all main trend options (alerts remain separate).
Main trendline display & alerts: Toggle trendline visibility and set alerts for peaks and valleys.
Trendline customization: Adjust styles, colors, and slopes for upward/downward trends.
Peaks & Valleys markers: Show/hide points and customize their color and size.
Opposite Main trend turning points: Enable alerts and modify style, width, color, and offset.
Breakout/Breakdown points: Set alerts and customize their appearance.
2. Primary trend settings
Hide/Show primary trend options: Instantly hide all primary trend options (alerts remain separate).
Primary trendline display & alerts: Toggle trendline visibility and set alerts for peaks and valleys.
Trendline customization: Adjust styles, colors, and slopes for upward/downward trends.
Peaks & Valleys markers: Show/hide points and customize their color and size.
Opposite primary trend turning points: Enable alerts and modify style, width, color, and offset.
Breakout/Breakdown points: Set alerts and customize their appearance.
3. Additional options
Tooltips display: Control tooltip visibility for labels and languages.
Candle/Bar coloring: Customize candle and bar colors based on algorithm-selected trends.
🔸 Additional features
🔹Custom reading of bars.
The arrow represents the direction of the slope, the dot is the type of trend, and the line is the closing price.
🔹 Advanced Moving Average Activator
The Advanced Moving Average Activator, this setting calculates the average closing prices of trend bars only, which are the only bars considered by Gann.
The advantage of this method is that it helps avoid hidden bars that are not accounted for, making the difference more evident in a ranging market. The values are updated only when new highs or lows occur.
Additionally, you can set alerts when the price closes above or below the moving average.
🔹 Bar Counter
After a trend change, you can see exactly when the shift occurred and customize the type of trend you want to track.
For example, by conducting your own research on the assets you trade, based on historical data, you might discover valuable insights, such as the primary trend possibly lasting longer than 20 bars!
You can use these insights to refine your trading strategy and make more data-driven decisions.
🔹 How to use
Step 1: Configure the settings and choose your trading approach
Adjust the indicator settings to match your trading style and market conditions.
Effectively using the indicator starts with selecting your preferred trading style.
You can trade in alignment with the primary trend, capitalize on market reversals, or take advantage of breakouts.
Trading with the primary trend: Best for traders who prefer longer-term positions with higher stability.
Trading reversals: Ideal for those looking to enter at potential turning points but requires additional confirmation.
Trading breakouts: Suitable for traders targeting strong price movements after key level breakouts.
Adapting to market volatility: Monitor changing volatility and adjust your strategy accordingly for optimal results.
Step 2: Analyze the chart
Apply the indicator to your TradingView chart and interpret swing signals for informed decisions.
Carefully study the chart patterns to detect subtle signals.
Check if similar signals worked well in past market conditions.
Use multi-timeframe analysis for a broader perspective.
Step 3: Trade with the primary trend
Utilize trend direction to align trades with prevailing market movements.
Always trade in the direction of the primary trend.
Confirm the trend direction using multiple indicators or by relying on the primary trend as confirmation!.
Avoid trading against strong market momentum.
Step 4: Identify entry signals
Use indicator signals to identify ideal trade entry points.
Look for confirmation before entering a trade.
Wait for clear signals to avoid false entries.
Practice on a demo account to build confidence in your entry strategy.
Step 5: Apply risk management
Define stop-loss and take-profit levels to protect your capital effectively.
Set stop-loss orders at strategic levels to limit potential losses.
Risk only a small percentage of your capital per trade.
Adjust risk levels based on your overall portfolio performance.
Step 6: Confirm with trend analysis
Validate trends using additional indicators for a higher probability of success.
Use complementary tools to confirm trend direction.
Monitor trend changes to adjust your strategy promptly.
Keep an eye on volume indicators for added confirmation.
Step 7: Execute the trade
Enter trades based on confirmed signals and predefined strategy rules.
Ensure all your criteria are met before executing a trade.
Stay disciplined and stick to your strategy.
Review market conditions right before execution.
Step 8: Monitor the trade
Track trade performance and make adjustments as necessary.
Keep an eye on market conditions throughout the trade.
Be ready to adjust your strategy if unexpected events occur.
Use trailing stops to secure profits while allowing for gains.
Step 9: Implement exit strategy
Close trades strategically based on your pre-established exit plan.
Plan your exit strategy in advance and adhere to it.
Consider partial exits to secure profits along the way.
Avoid emotional decisions when closing trades.
Step 10: Review performance
Analyze past trades to continuously refine and improve your strategy.
Regularly review and document your trades for insights.
Identify patterns in both your successes and mistakes.
Update your strategy based on comprehensive performance reviews.
🔹 Disclosure
While this script is useful and provides insight into market tops, bottoms, and trend trading, it's critical to understand that past performance is not necessarily indicative of future results and there are many more factors that go into being a profitable trader.
Smart Stop-Loss (SSL)Smart Stop-Loss (SSL) Indicator
Overview
The Smart Stop-Loss (SSL) indicator is an advanced risk management tool designed to help traders set dynamic stop-loss levels based on market structure, volatility, and momentum. Unlike traditional fixed stop-loss methods, SSL adapts to changing market conditions, helping to avoid premature exits while protecting capital during true reversals.
Key Features
1. Volatility-Based Adjustments
- Uses Average True Range (ATR) to measure market volatility
- Automatically widens stop-loss during volatile periods and tightens during calm markets
- Customizable ATR multiplier (default: 1.5x) to adjust sensitivity
2. Market Structure Integration
- Identifies significant swing highs and lows to establish support/resistance levels
- Places stop-loss levels beyond these structural points to avoid common stop hunts
3. Fair Value Gap (FVG) Detection
- Identifies imbalances in order flow that often lead to strong directional moves
- Bullish FVG: A gap up where the current high is below previous low
- Bearish FVG: A gap down where the current low is above previous high
4. Smart Stop-Loss Tightening
- Automatically tightens stop-loss when FVGs are mitigated (filled)
- Uses RSI as a momentum filter to prevent premature adjustments
- Creates a trailing effect that locks in profits as trades move favorably
How to Use
For Long Positions:
1. **Entry**: Look for bullish FVG formations (green step line appears)
2. **Stop-Loss Placement**: Set your stop at or slightly below the green step line
3. **Stop Adjustment**: When price closes above the FVG zone and RSI > 50, the stop will automatically tighten
4. **Exit**: Exit the position when price closes below the green line or when your profit target is reached
For Short Positions:
1. **Entry**: Look for bearish FVG formations (red step line appears)
2. **Stop-Loss Placement**: Set your stop at or slightly above the red step line
3. **Stop Adjustment**: When price closes below the FVG zone and RSI < 50, the stop will automatically tighten
4. **Exit**: Exit the position when price closes above the red line or when your profit target is reached
Real-World Examples
Example 1: Trend Continuation
In an uptrend, when a bullish FVG appears, it often indicates institutional buying pressure. The SSL will place a stop below the swing low with an ATR buffer. As price continues upward and mitigates the FVG, the SSL tightens to protect profits while allowing the trend to continue.
Example 2: Avoiding Premature Exits
During normal market fluctuations, traditional fixed stops might get triggered too early. The SSL's adaptive nature accounts for volatility, keeping you in profitable trades longer by positioning stops beyond noise levels.
Example 3: Protecting Against Reversals
When a true reversal occurs, the momentum filter (RSI) will confirm the change in direction, allowing the SSL to maintain wider protection rather than prematurely tightening in a false move.
Tips for Best Results
1. **Timeframe Selection**: Works best on 1H, 4H and daily charts where market structure is more reliable
2. **Combine with Trend Analysis**: Use in conjunction with trend identification tools
3. **ATR Adjustment**: Increase the ATR multiplier for more volatile instruments
4. **Alert Setup**: Configure the built-in alerts to notify you when stop levels are breached
5. **Visual Confirmation**: The labels show exact stop values to help with order placement
Disclaimer
This indicator is provided for informational and educational purposes only. While it uses advanced techniques to determine potential stop-loss levels, no indicator can predict market movements with certainty. Always manage your risk appropriately and never risk more than you can afford to lose. Past performance is not indicative of future results. The developer of this indicator accepts no liability for trading losses incurred from its use. Always test thoroughly on demo accounts before using in live trading.
Invictus📝 Invictus – Probabilistic Trading Indicator
🔍 1. General Introduction
Invictus is a technical trading indicator designed to support traders by identifying potential buy and sell signals through a probabilistic and adaptive analytical approach. It aims to enhance the analytical process rather than provide explicit trading recommendations. The indicator integrates multiple analytical components—price pattern detection, momentum analysis (RSI), dynamic trend lines (Kalman Line), and volatility bands (ATR)—to offer traders a structured and contextual framework for making informed decisions.
Invictus does not guarantee profitable outcomes but seeks to enhance analytical clarity and support cautious decision-making through multiple validation layers.
⚙️ 2. Main Components
🌊 2.1. Price Pattern Detection
Invictus identifies potential market shifts by analyzing specific candlestick sequences:
Bearish Patterns (Sell): Detected when consecutive candles close below their openings, indicating increased selling pressure.
Bullish Patterns (Buy): Detected when consecutive candles close above their openings, suggesting increased buying interest.
These patterns provide historical insights rather than absolute predictions for market movements.
⚡ 2.2. Momentum Confirmation (RSI)
To improve signal clarity, Invictus employs the Relative Strength Index (RSI):
Buy Signal: RSI below a predefined threshold (e.g., 30), signaling potential oversold conditions.
Sell Signal: RSI above a threshold (e.g., 70), signaling potential overbought conditions.
RSI acts exclusively as an additional validation filter to reduce, though not eliminate, false signals derived solely from price patterns.
🌀 2.3. Kalman Dynamic Line
The Kalman Dynamic Line smooths price action and dynamically tracks trends using a Kalman filter algorithm:
Noise Reduction: Minimizes minor price fluctuations.
Trend Direction Indicator: Line slope visually represents bullish or bearish market bias.
Adaptive Support/Resistance: Adjusts continuously to market conditions.
Volatility Sensitivity: Adjustments use ATR to scale proportionally with market volatility.
This adaptive dynamic line provides clear context, aiding traders by filtering short-term volatility.
📊 2.4. Volatility Bands (ATR-based)
ATR-based volatility bands define potential breakout zones and market extremes dynamically:
Upper/Lower Bands: Positioned relative to the Kalman Line based on ATR (volatility multiplier).
Volatility Zones: Highlight potential areas of trend continuation or reversal due to significant price movements.
These bands assist traders in visually assessing significant market movements and reducing the focus on minor fluctuations.
🧠 3. Component Interaction and Validation Logic
Invictus is designed to enhance analytical clarity by integrating multiple technical components, requiring independent confirmations before signals may be considered as potentially actionable
🔗 Step 1: Pattern + RSI Validation
Initial identification of price patterns.
Signal validation through RSI conditions (oversold/overbought).
🔗 Step 2: Trend Alignment (Kalman Line)
Validated signals undergo further assessment with respect to the Kalman Dynamic Line.
Buy signals require price action above the Kalman Line; sell signals require price action below.
🔗 Step 3: Volatility Confirmation (ATR Bands)
Price action must penetrate and close beyond the corresponding volatility band.
Ensures signals align with adequate market volatility and momentum.
🔄 4. Comprehensive Decision-Making Flow
Identify price patterns (initial indication).
Confirm momentum via RSI.
Verify trend alignment using the Kalman Line.
Confirm adequate volatility via ATR bands.
💡 5. Practical Example (Buy Scenario)
Invictus signals a potential buy scenario.
Trader waits for the price to cross above the Kalman Line.
Entry consideration occurs only after a confirmed close above the upper ATR volatility band.
⚠️ 6. Important Limitations
Do not rely solely on Invictus signals; always perform broader market analysis.
Invictus performs optimally in trending markets; exercise caution in sideways or range-bound markets.
Always evaluate broader market context and the dominant trend before making decisions.
📝 7. Risk Management & Responsible Trading
Invictus serves as an analytical support tool, not a guarantee of market outcomes:
Set prudent stop-loss levels.
Apply conservative leverage, especially in volatile conditions.
Conduct thorough backtesting and practice on a demo account before live trading.
⚠️ Disclaimer: Trading involves significant risks. Invictus generates signals based on historical and technical analysis. Past performance is not indicative of future results. Responsible trading practices are strongly advised.
💡 8. Final Considerations
Invictus provides an analytical framework integrating various supportive technical methodologies designed to enhance decision-making and comprehensive analysis. Its multi-layered validation process encourages disciplined analysis and informed decision-making without implying any guarantees of profitability.
Traders should incorporate Invictus within broader strategic frameworks, consistently applying disciplined risk management and thorough market analysis.
[TehThomas] - ICT SMT DivergencesIntroduction
SMT Divergences is a cutting-edge trading tool designed for traders who utilize Smart Money Techniques (SMT), a core concept in the Inner Circle Trader (ICT) methodology. This indicator is specifically built to detect SMT divergences by comparing price action across multiple correlated assets. It helps traders identify institutional activity, liquidity grabs, and inefficiencies in the market, offering valuable insights for high-probability trade setups.
Smart Money Techniques revolve around the idea that institutional traders and large market participants leave behind footprints in the form of price divergences. By analyzing multiple asset pairs simultaneously, this indicator helps traders pinpoint areas where one market structure contradicts another, revealing potential trade opportunities before the majority of retail traders notice them.
What is SMT Divergence?
Smart Money Divergence (SMT) occurs when correlated assets or markets behave differently in key areas of interest. These divergences often indicate market inefficiencies caused by liquidity grabs or institutional order flow. There are two main types of SMT divergences:
1. Bearish SMT Divergence (Smart Money Distribution) 🔴
Occurs when:
One asset makes a higher high, while another correlated asset makes a lower high.
This signals underlying weakness in the price action of the first asset.
Institutions may be offloading positions, preparing for a downward move.
📉 Example: If GBP/USD makes a higher high, but EUR/USD makes a lower high, it indicates potential weakness in GBP/USD and a possible short opportunity.
2. Bullish SMT Divergence (Smart Money Accumulation) 🔵
Occurs when:
One asset makes a lower low, while another correlated asset makes a higher low.
This suggests strength and potential accumulation by institutional traders.
Smart Money may be positioning for a bullish reversal.
📈 Example: If NASDAQ (US100) makes a lower low, but S&P 500 (US500) makes a higher low, it could indicate bullish strength in the stock market, suggesting a possible long trade.
How This Indicator Works
The SMT Divergences automatically identifies and plots SMT divergences on your chart, allowing you to spot hidden market imbalances at a glance.
🔍 Key Features
✅ Compare Up to 4 Assets Simultaneously – Select up to four correlated pairs to compare against the main charted asset.
✅ Automatic Detection of SMT Divergences – The script finds divergences in swing highs and swing lows and visually marks them on the chart.
✅ Customizable Line Styles & Colors – Adjust the appearance of the divergence lines and labels to suit your trading style.
✅ Smart Labeling System – Displays which asset pairs are diverging, making it easy to analyze market conditions.
✅ Works Across Multiple Markets – Use for Forex, Indices, Crypto, and Commodities, giving traders flexibility in different asset classes.
✅ Designed for ICT Traders – Aligns perfectly with other ICT concepts such as Liquidity Zones, Order Blocks, and Fair Value Gaps (FVGs).
🛠 Indicator Settings & Customization
The indicator provides various settings to tailor it to your trading preferences:
Pivot Lookback Length: Adjusts how many bars the indicator looks back to determine swing highs/lows.
Symbol Selection: Choose up to four additional assets to compare against your main trading pair.
Divergence Line Colors: Customize the color of bearish (red) and bullish (blue) divergences for better visibility.
Line Styles: Choose between solid, dotted, or dashed lines to highlight divergences in your preferred way.
Label Customization: Modify text color and display preferences for a clean and informative chart layout.
How to Use This Indicator in Your Trading Strategy
This indicator is best used in combination with other ICT concepts to improve confluence and increase trade accuracy. Here’s how you can integrate it into your trading strategy:
🔹 Step 1: Identify SMT Divergences
Wait for bullish or bearish SMT divergences to appear on your chart.
Check if the divergence aligns with key liquidity zones, fair value gaps (FVGs), or order blocks.
🔹 Step 2: Confirm Institutional Activity
Look for liquidity sweeps (stop hunts) before a potential reversal.
If a bearish SMT divergence forms near a major resistance level, it may signal Smart Money selling.
If a bullish SMT divergence forms near a support zone, it could indicate accumulation.
🔹 Step 3: Enter a Trade with Confluence
Combine SMT divergences with market structure shifts to time entries.
Use additional ICT tools like Premium & Discount Arrays, Volume Profile, and Market Maker Models for confirmation.
Set stop-losses above liquidity zones and aim for high-risk reward ratios.
🔹 Step 4: Manage Risk & Take Profits
Always use proper risk management, keeping an eye on liquidity grabs and market sentiment.
Consider taking partial profits at key structural points and letting the rest of the trade run.
Why This Indicator is a Game-Changer for ICT Traders
Traditional retail traders often fail to spot Smart Money footprints, which is why many struggle with false breakouts and liquidity traps. The - ICT SMT Divergences indicator eliminates this problem by providing a clear, visual representation of SMT divergences, allowing traders to track institutional movements in real-time.
🔹 Save Time – No need to manually compare charts; the script does the work for you.
🔹 Improve Accuracy – Get high-probability trade setups by following institutional footprints.
🔹 Enhance Your Trading Edge – Use SMT divergences in combination with liquidity grabs, order blocks, and fair value gaps to refine your strategy.
🔹 Universal Market Compatibility – Works for Forex, Indices, Crypto, Commodities, and even Stocks, giving you flexibility in different markets.
Final Thoughts
The SMT Divergences is a must-have tool for traders who rely on Smart Money Techniques (SMT) and ICT methodologies. By identifying SMT divergences across multiple correlated markets, this indicator provides unparalleled insights into institutional trading behavior and enhances your ability to trade with Smart Money.
Whether you are a day trader, swing trader, or position trader, this indicator will help you make more informed decisions, avoid liquidity traps, and improve your overall profitability.
__________________________________________
Thanks for your support!
If you found this idea helpful or learned something new, drop a like 👍 and leave a comment, I’d love to hear your thoughts! 🚀
Make sure to follow me for more price action insights, free indicators, and trading strategies. Let’s grow and trade smarter together! 📈
Democratic MultiAsset Strategy [BerlinCode42]Happy Trade,
Intro
Included Trade Concept
Included Indicators and Compare-Functions
Usage and Example
Settings Menu
Declaration for Tradingview House Rules on Script Publishing
Disclaimer
Conclusion
1. Intro
This is the first multi-asset strategy available on TradingView—a market breadth multi-asset trading strategy with integrated webhooks, backtesting capabilities, and essential strategy components like Take Profit, Stop Loss, Trailing, Hedging, Time & Session Filters, and Alerts.
How It Trades? At the start of each new bar, one asset from a set of eight is selected to go long or short. As long there is available cash and the selected asset meets the minimum criteria.
The selection process works through a voting system, similar to a democracy. Each asset is evaluated using up to five indicators that the user can choose. The asset with the highest overall voting score is picked for the trade. If no asset meets all criteria, no trade is executed, and the cash reserve remains untouched for future opportunities.
How to Set Up This Market Breadth Strategy:
Choose eight assets from the same market (e.g., cryptos or big tech stocks).
Select one to five indicators for the voting system.
Refine the strategy by adjusting Take Profit, Stop Loss, Hedging, Trailing, and Filters.
2. Voting as the included Trade Concept
The world of financial trading is filled with both risks and opportunities, and the key challenge is to identify the right opportunities, manage risks, and do both right on time.
There are countless indicators designed to spot opportunities and filter out risks, but no indicator is perfect—they only work statistically, hitting the right signals more often than the wrong ones.
The goal of this strategy is to increase the accuracy of these Indicators by:
Supervising a larger number of assets
Filtering out less promising opportunities
This is achieved through a voting system that compares indicator values across eight different assets. It doesn't just compare long trades—it also evaluates long vs. short positions to identify the most promising trade.
Why focus on one asset class? While you can randomly select assets from different asset classes, doing so prevents the algorithm from identifying the strongest asset within a single class. Think about, within one asset class there is often a major trend whereby different asset classes has not really such behavior.
And, you don’t necessarily need trading in multiple classes—this algorithm is designed to generate profits in both bullish and bearish markets. So when ever an asset class rise or fall the voting system ensure to jump on the strongest asset. So this focusing on one asset class is an integral part of this strategy. This all leads to more stable and robust trading results compared to handling each asset separately.
3. Included Indicators and Compare-Functions
You can choose from 17 different indicators, each offering different types of signals:
Some provide a directional signal
Some offer a simple on/off signal
Some provide both
Available Indicators: RSI, Stochastic RSI, MFI, Price, Volume, Volume Oscillator, Pressure, Bilson Gann Trend, Confluence, TDI, SMA, EMA, WMA, HMA, VWAP, ZLMA, T3MA
However, these indicators alone do not generate trade signals. To do so, they must be compared with thresholds or other indicators using specific comparison functions.
Example – RSI as a Trade Signal. The RSI provides a value between 0 and 100. A common interpretation is:
RSI over 80 → Signal to go short or exit a long trade
RSI under 20 → Signal to go long or exit a short trade
Here, two comparison functions and two thresholds are used to determine trade signals.
Below is the full set of available comparison functions, where: I represents the indicator’s value and A represents the comparator’s value.
I < A if I smaller A then trade signal
I > A if I bigger A then trade signal
I = A if I equal to A then trade signal
I != A if I not equal to A then trade signal
A <> B if I bigger A and I smaller B then trade signal
A >< B if I smaller A then long trade signal or if I bigger B then short trade signal
Image 1
In Image 1, you can see one of five input sections, where you define an indicator along with its function, comparator, and constants. For our RSI example, we select:
Indicator: RSI
Function: >< (greater/less than)
Comparator: Constant
Constants: A = 20, B = 80
With these settings a go short signal is triggered when RSI crosses above 80. And a go long signal is triggered when RSI crosses below 20.
Relative Strength Indicator: The RSI from the public TradingView library provides a directional trade signal. You can adjust the price source and period length in the indicator settings.
Stochastic Relative Strength Indicator: As above the Stoch RSI offers a trade signal with direction. It is calculated out of the RSI, the stochastic derivation and the SMA from the Tradingview library. You can set the in-going price source and the period length for the RSI, for the Stochastic Derivation and for the SMA as blurring in the Indicator settings section.
Money Flow Indicator: As above the MFI from the public Tradingview library offers a trade signal with direction. You can set the in-going price source and the period length in the Indicator settings section.
Price: The Price as Indicator is as simple as it can be. You can chose Open, High, Low or Close or combinations of them like HLC3 or even you can import an external Indicator. The absolute price or value can later be used to generate a trade signals when certain constant thresholds or other indicators signals are crossed.
Volume: Similar as above the Volume as Indicator offers the average volume as absolute value. You can set the period length for the smoothing and you can chose where it is presented in the base currency $ or is the other. For example the trade pair BTCUSD you can chose to present the value in $ or in BTC.
Volume Oscillator: The Volume Oscillator Indicator offers a value in the range of . Whereby a value close to 0 means that the volume is very low. A value around 1 means the volume is same high as before and Values higher as 1 means the volume is bigger then before. You can set the period length for the smoothing and you can chose where it is presented in the base currency $ or is the other. For example the trade pair BTCUSD you can chose to present the value in $ or in BTC.
Pressure Indicator: The Pressure is an adapted version of LazyBear's script (Squeeze Momentum Indicator) Pressure is a Filter that highlight bars before a bigger price move in any direction. The result are integer numbers between 0 and 4 whereby 0 means no bigger price move excepted, while 4 means huge price move expected. You can set the in-going price source and the period length in the Indicator settings section.
Bilson Gann Trend: The Bilson Gann Trend Indicator is a specific re-implementation of the widely known Bilson Gann Count Algorithm to detect Highs and Lows. On base of the last four Highs and Lows a trend direction can be calculated. It is based on 2 rules to confirm a local pivot candidate. When a local pivot candidate is confirmed, let it be a High then it looks for Lows to confirm. The result range is whereby -1 means down trend, 1 means uptrend and 0 sideways.
Confluence: The Confluence Indicator is a simplified version of Dale Legan's "Confluence" indicator written by Gary Fritz. It uses five SMAs with different periods lengths. Whereby the faster SMA get compared with the (slower) SMA with the next higher period lengths. Is the faster SMA smaller then the slower SMA then -1, otherwise +1. This is done with all SMAs and the final sum range between . Whereby values around 0 means price is going side way, Crossing under 0 means trend change from bull to bear. Is the value>2 means a strong bull trend and <-2 a strong bear trend.
Trades Dynamic Index: The TDI is an adapted version from the "Traders Dynamic Index" of LazyBear. The range of the result is whereby 2 means Top goShort, -2 means Bottom goLong, 0 is neutral, 1 is up trend, -1 is down trend.
Simple Moving Average: The SMA is the one from the Tradingview library. You can compare it with the last close price or any other moving average indicator to indicate up and down trends. You can set the in-going price source and the period length in the Indicator settings section.
Exponential Moving Average: The EMA as above is the one from the Tradingview library. You can compare it with the last close price or any other moving average indicator to indicate up and down trends. You can set the in-going price source and the period length in the Indicator settings section.
Weighted Moving Average: The WMA as above is the one from the Tradingview library. You can compare it with the last close price or any other moving average indicator to indicate up and down trends. You can set the in-going price source and the period length in the Indicator settings section.
Hull Moving Average: HMA as above is the one from the Tradingview library. You can compare it with the last close price or any other moving average indicator to indicate up and down trends. You can set the in-going price source and the period length in the Indicator settings section.
Volume Weighted Average Price: The VWAP as above is the one from the Tradingview library. You can compare it with the last close price or any other moving average indicator to indicate up and down trends. You can set the in-going price source in the Indicator settings section.
Zero Lag Moving Average: The ZLMA by John Ehlers and Ric Way describe in their paper: www.mesasoftware.com
As the other moving averages you can compare it with the last close price or any other moving average indicator to indicate up and down trends. You can set the in-going price source and the period length in the Indicator settings section.
T3 Moving Average: The T3MA is the one from the Tradingview library. You can compare it with the last close price or any other moving average indicator to indicate up and down trends. You can set the in-going price source, the period length and a factor in the Indicator settings section. Keep this factor at 1 and the T3MA swing in the same range as the input. Bigger 1 and it swings over. Factors close to 0 and the T3MA becomes a center line.
All MA's following the price. The function to compare any MA Indicators would be < or > to generate a trade direction. An example follows in the next section.
4. Example and Usage
In this section, you see how to set up the strategy using a simple example. This example was intentionally chosen at random and has not undergone any iterations to refine the trade results.
We use the RSI as the trade signal indicator and apply a filter using a combination of two moving averages (MAs). The faster MA is an EMA, while the slower MA is an SMA. By comparing these two MAs, we determine a trend direction. If the faster MA is above the slower MA the trend is upwards etc. This trend direction can then be used for filtering trades.
The strategy follows these rules:
If the RSI is below 20, a buy signal is generated.
If the RSI is above 80, a sell signal is generated.
However, this RSI trade signal is filtered so that a trade is only given the maximum voting weight if the RSI trade direction aligns with the trend direction determined by the MA filter.
So first, you need to add your chosen assets or simply keep the default ones. In Image 2, you can see one of the eight asset input sections.
Image 2
This strategy offers some general trade settings that apply equally to all assets and some asset-specific settings. This distinction is necessary because some assets have higher volatility than others, requiring asset-specific Take Profit and Stop Loss levels.
Once you have made your selections, proceed to the Indicators and Compare Functions for the voting. Image 3 shows an example of this setup.
Image 3
Later on go to the Indicator specific settings shown in Image 4 to refine the trade results.
Image 4
For refine the trade results take also a look on the result summary table, development of capital plot, on the list of closed and open trades and screener table shown in Image 5.
Image 5
To locate any trade for any asset in the chronological and scroll-able trade list, each trade is marked with a label:
An opening label displaying the trade direction, ticker ID, trade number, invested amount, and remaining cash reserves.
A closing label showing the closing reason, ticker ID, trade number, trade profit (%), trade revenue ($), and updated cash reserves.
Additionally: a green line marks each Take Profit level. An orange line indicates the (trailing) Stop Loss.
The summary table in the bottom-left corner provides insights into how effective the trade strategy is. By analyzing the trade list, you can identify trades that should be avoided.
To find those bad trades on the chart, use the trade number or timestamp. With replay mode, you can go back in time to review a specific trade in detail.
Image 6
In Image 6, you can see an example where replay mode and the start time filter are used to display specific trades within a narrow time range. By identifying a large number of bad trades, you may recognize patterns and formulate conditions to avoid them in the future.
This is the backtesting tool that allows you to develop and refine your trading strategy continuously. With each iteration—from general adjustments to detailed optimizations—you can use these tools to improve your strategy. You can:
Add other indicators with trade signals and direction
Add more indicators signals as filter
Adjust the settings of your indicators to optimize results
Configure key strategy settings, such as Time and Session Filters, Stop Loss, Take Profit, and more
By doing so, you can identify a profitable strategy and its optimal settings.
5. Settings Menu
In the settings menu you will find the following high-lighted sections. Most of the settings have a i mark on their right side. Move over it with the cursor to read specific explanation.
Backtest Results: Here you can decide about visibility of the trade list, of the Screener Table and of the Results Summary. And the colors for bullish, side ways, bearish and no signal. Go above and see Image 5.
Time Filter: You can set a Start time or deactivate it by leave it unhooked. The same with End Time and Duration Days . Duration Days can also count from End time in case you deactivate Start time.
Session Filter: Here, you can chose to activate trading on a weekly basis, specifying which days of the week trading is allowed and which are excluded. Additionally, you can configure trading on a daily basis, setting the start and end times for when trades are permitted. If activated, no new trades will be initiated outside the defined times and sessions.
Trade Logic: Here you can set an extra time frame for all indicators. You can enable Longs or Shorts or both trades.
The min Criteria percentage setting defines the minimum number of voices an asset has to get to be traded. So if you set this to 50% or less also weak winners of the voting get traded while 100% means that the winner of the voting has to get all possible voices.
Additionally, you have the option to delay entry signals. This feature is particularly useful when trade signals exhibit noise and require smoothing.
Enable Trailing Stop and force the strategy to trade only at bar closing. Other-ways the strategy trade intrabar, so when ever a voting present an asset to trade, it will send the alert and the webhooks.
The Hedging is basic as shown in the following Image 7 and serves as a catch if price moves fast in the wrong direction. You can activate a hedging mechanism, which opens a trade in the opposite direction if the price moves x% against the entry price. If both the Stop Loss and Hedging are triggered within the same bar, the hedging action will always take precedence.
Image 6
Indicators to use for Trade Signal Generating: Here you chose the Indicators and their Compare Function for the Voting . Any activated asset will get their indicator valuation which get compared over all assets. The asset with the highest valuation is elected for the trade as long free cash is present and as long the minimum criteria are met.
The Screener Table will show all indicators results of the last bar of all assets. Those indicator values which met the threshold get a background color to high light it. Green for bullish, red for bearish and orange for trade signals without direction. If you chose an Indicator here but without any compare function it will show also their results but with just gray background.
Indicator Settings: here you can setup the indicator specific settings. for deeper insights see 3. Included Indicators and Compare-Functions .
Assets, TP & SL Settings: Asset specific settings. Chose here the TickerID of all Assets you wanna trade. Take Profit 1&2 set the target prices of any trade in relation to the entry price. The Take Profit 1 exit a part of the position defined by the quantity value. Stop Loss set the price to step out when a trade goes the wrong direction.
Invest Settings: Here, you can set the initial amount of cash to start with. The Quantity Percentage determines how much of the available cash is allocated to each trade, while the Fee percentage specifies the trading fee applied to both opening and closing positions.
Webhooks: Here, you configure the License ID and the Comment . This is particularly useful if you plan to use multiple instances of the script, ensuring the webhooks target the correct positions. The Take Profit and Stop Loss values are displayed as prices.
6. Declaration for Tradingview House Rules on Script Publishing
The unique feature of this Democratic Multi-Asset Strategy is its ability to trade multiple assets simultaneously. Equipped with a set of different standard Indicators, it's new democratic Voting System does more robust trading decisions compared to single-asset. Interchangeable Indicators and customizable strategy settings allowing for a wide range of trading strategies.
This script is closed-source and invite-only to support and compensate for over a year of development work. Unlike other single asset strategies, this one cannot use TradingView's strategy functions. Instead, it is designed as an indicator.
7. Disclaimer
Trading is risky, and traders do lose money, eventually all. This script is for informational and educational purposes only. All content should be considered hypothetical, selected post-factum and is not to be construed as financial advice. Decisions to buy, sell, hold, or trade in securities, commodities, and other investments involve risk and are best made based on the advice of qualified financial professionals. Past performance does not guarantee future results. Using this script on your own risk. This script may have bugs and I declare don't be responsible for any losses.
8. Conclusion
Now it’s your turn! Chose an asset class and pick 8 of them and chose some indicators to see the trading results of this democratic voting system. Refine your multi-asset strategy to favorable settings. Once you find a promising configuration, you can set up alerts to send webhooks directly. Configure all parameters, test and validate them in paper trading, and if results align with your expectations, you even can deploy this script as your trading bit.
Cheers
Uptrick: Portfolio Allocation DiversificationIntro
The Uptrick: Portfolio Allocation Diversification script is designed to help traders and investors manage multiple assets simultaneously. It generates signals based on various trading systems, allocates capital using different diversification methods, and displays real-time metrics and performance tables on the chart. The indicator compares active trading strategies with a separate long-term holding (HODL) simulation, allowing you to see how a systematic trading approach stacks up against a simple buy-and-hold strategy.
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Trading System Selection
1. No signals (none)
In this mode, the script does not produce bullish or bearish indicators; every asset stays in a neutral stance. This setup is useful if you prefer to observe how capital might be distributed based solely on the chosen diversification method, with no influence from directional signals.
2. rsi – neutral
This mode uses an index-based measure of whether an asset appears overbought or oversold. It generates a bearish signal if market conditions point to overbought territory, and a bullish signal if they indicate oversold territory. If neither extreme surfaces, it remains neutral. Some traders apply this in sideways or range-bound conditions, where overbought and oversold levels often hint at possible turning points. It does not specifically account for divergence patterns.
3. rsi – long only
In this setting, the system watches for instances where momentum readings strengthen even if the asset’s price is still under pressure or setting new lows. It also considers oversold levels as potential signals for a bullish setup. When such conditions emerge, the script flags a possible move to the upside, ignoring indications that might otherwise suggest a bearish trend. This approach is generally favored by those who want to concentrate exclusively on identifying price recoveries.
4. rsi – short only
Here, the script focuses on spotting signs of deteriorating momentum while an asset’s price remains relatively high or attempts further gains. It also checks whether the market is drifting into overbought territory, suggesting a potential decline. Under such conditions, it issues a bearish signal. It provides no bullish alerts, making it particularly suitable for traders who look to take advantage of overvalued scenarios or protect themselves against sudden downward moves.
5. Deviation from fair value
Under this system, the script judges how far the current price may have strayed from what is considered typical, taking into account normal fluctuations. If the asset appears to be trading at an unusually low level compared to that reference, it is flagged as bullish. If it seems abnormally high, a bearish signal is issued. This can be applied in various market environments to seek opportunities that arise from perceived mispricing.
6. Percentile channel valuation
In this mode, the script determines where an asset's price stands within a historical distribution, highlighting whether it has reached unusually high or low territory compared to its recent past. When the price reaches what is deemed an extreme reading, it may indicate that a reversal is more likely. This approach is often used by traders who watch for statistical outliers and potential reversion to a more typical trading range.
7. ATH valuation
This technique involves comparing an asset's current price with its previously recorded peak values. The script then interprets whether the price is positioned so far below the all-time high that it looks discounted, or so close to that high that it could be overextended. Such perspective is favored by market participants who want to see if an asset still has ample room to climb before matching historic extremes, or if it is nearing a possible ceiling.
8. Z-score system
Here, the script measures how far above or below a standard reference average an asset's price may be, translated into standardized units. Substantial negative readings can suggest a price that might be unusually weak, prompting a bullish indication, while large positive readings could signal overextension and lead to a bearish call. This method is useful for traders watching for abrupt deviations from a norm that often invite a reversion to more balanced levels.
RSI Divergence Period
This input is particularly relevant for the RSI - Long Only and RSI - Short Only modes. The period determines how many bars in the past you compare RSI values to detect any divergences.
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Diversification Method
Once the script has determined a bullish, bearish, or neutral stance for each asset, it then calculates how to distribute capital among all included assets. The diversification method sets the weighting logic.
1. None
Gives each asset an equal weight. For example, if you have five included assets, each might get 20 percent. This is a simple baseline.
2. Risk-Adjusted Expected Return Using Volatility Clustering
Emphasizes each asset’s average returns relative to its observed risk or volatility tendencies. Assets that exhibit good risk-adjusted returns combined with moderate or lower volatility may receive higher weights than more volatile or less appealing assets. This helps steer capital toward assets that have historically provided a better ratio of return to risk.
3. Relative Strength
Allocates more capital to assets that show stronger price strength compared to a reference (for example, price above a long-term moving average plus a higher RSI). Assets in clear uptrends may be given higher allocations.
4. Trend-Following Indicators
Examines trend-based signals, like positive momentum measurements or upward-trending strength indicators, to assign more weight to assets demonstrating strong directional moves. This suits those who prefer to latch onto trending markets.
5. Volatility-Adjusted Momentum
Looks for assets that have strong price momentum but relatively subdued volatility. The script tends to reward assets that are trending well yet are not too volatile, aiming for stable upward performance rather than massive swings.
6. Correlation-Based Risk Parity
Attempts to weight assets in such a way that the overall portfolio risk is more balanced. Although it is not an advanced correlation matrix approach in a strict sense, it conceptually scales each asset’s weight so no single outlier heavily dominates.
7. Omega Ratio Maximization
Gives preference to assets with higher omega ratios. This ratio can be interpreted as the probability-weighted gains versus losses. Assets with a favorable skew are given more capital.
8. Liquidity-Weighted Valuation
Considers each asset’s average trading liquidity, such as the combination of volume and price. More liquid assets typically receive a higher allocation because they can be entered or exited with lower slippage. If the trading system signals bullishness, that can further boost the allocation, and if it signals bearishness, the allocation might be set to zero or reduced drastically.
9. Drawdown-Controlled Allocation (DCA)
Examines each asset’s maximum drawdown over a recent window. Assets experiencing lighter drawdowns (thus indicating somewhat less downside volatility) receive higher allocations, aiming for a smoother overall equity curve.
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Portfolio and Allocation Settings
Portfolio Value
Defines how much total capital is available for the strategy-based investment portion. For example, if set to 10,000, then each asset’s monetary allocation is determined by the percentage weighting times 10,000.
Use Fixed Allocation
When enabled, the script calculates the initial allocation percentages after 50 bars of data have passed. It then locks those percentages for the remainder of the backtest or real-time session. This feature allows traders to test a static weighting scenario to see how it differs from recalculating weights at each bar.
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HODL Simulator
The script has a separate simulation that accumulates positions in an asset whenever it appears to be recovering from an undervalued state. This parallel tracking is intended to contrast a simple buy-and-hold approach with the more adaptive allocation methods used elsewhere in the script.
HODL Buy Quantity
Each time an asset transitions from an undervalued state to a recovery phase, the simulator executes a purchase of a predefined quantity. For example, if set to 0.5 units, the system will accumulate this amount whenever conditions indicate a shift away from undervaluation.
HODL Buy Threshold
This parameter determines the level at which the simulation identifies an asset as transitioning out of an undervalued state. When the asset moves above this threshold after previously being classified as undervalued, a buy order is triggered. Over time, the performance of these accumulated positions is tracked, allowing for a comparison between this passive accumulation method and the more dynamic allocation strategy.
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Asset Table and Display Settings
The script displays data in multiple tables directly on your chart. You can toggle these tables on or off and position them in various corners of your TradingView screen.
Asset Info Table Position
This table provides key details for each included asset, displaying:
Symbol – Identifies the trading pair being monitored. This helps users keep track of which assets are included in the portfolio allocation process.
Current Trading Signal – Indicates whether the asset is in a bullish, bearish, or neutral state based on the selected trading system. This assists in quickly identifying which assets are showing potential trade opportunities.
Volatility Approximation – Represents the asset’s historical price fluctuations. Higher volatility suggests greater price swings, which can impact risk management and position sizing.
Liquidity Estimate – Reflects the asset’s market liquidity, often based on trading volume and price activity. More liquid assets tend to have lower transaction costs and reduced slippage, making them more favorable for active strategies.
Risk-Adjusted Return Value – Measures the asset’s returns relative to its risk level. This helps in determining whether an asset is generating efficient returns for the level of volatility it experiences, which is useful when making allocation decisions.
2. Strategy Allocation Table Position
Displays how your selected diversification method converts each asset into an allocation percentage. It also shows how much capital is being invested per asset, the cumulative return, standard performance metrics (for example, Sharpe ratio), and the separate HODL return percentage.
Symbol – Displays the asset being analyzed, ensuring clarity in allocation distribution.
Allocation Percentage – Represents the proportion of total capital assigned to each asset. This value is determined by the selected diversification method and helps traders understand how funds are distributed within the portfolio.
Investment Amount – Converts the allocation percentage into a dollar value based on the total portfolio size. This shows the exact amount being invested in each asset.
Cumulative Return – Tracks the total return of each asset over time, reflecting how well it has performed since the strategy began.
Sharpe Ratio – Evaluates the asset’s return in relation to its risk by comparing excess returns to volatility. A higher Sharpe ratio suggests a more favorable risk-adjusted performance.
Sortino Ratio – Similar to the Sharpe ratio, but focuses only on downside risk, making it more relevant for traders who prioritize minimizing losses.
Omega Ratio – Compares the probability of achieving gains versus losses, helping to assess whether an asset provides an attractive risk-reward balance.
Maximum Drawdown – Measures the largest percentage decline from an asset’s peak value to its lowest point. This metric helps traders understand the worst-case loss scenario.
HODL Return Percentage – Displays the hypothetical return if the asset had been bought and held instead of traded actively, offering a direct comparison between passive accumulation and the active strategy.
3. Profit Table
If the Profit Table is activated, it provides a summary of the actual dollar-based gains or losses for each asset and calculates the overall profit of the system. This table includes separate columns for profit excluding HODL and the combined total when HODL gains are included. As seen in the image below, this allows users to compare the performance of the active strategy against a passive buy-and-hold approach. The HODL profit percentage is derived from the Portfolio Value input, ensuring a clear comparison of accumulated returns.
4. Best Performing Asset Table
Focuses on the single highest-returning or highest-profit asset at that moment. It highlights the symbol, the asset’s cumulative returns, risk metrics, and other relevant stats. This helps identify which asset is currently outperforming the rest.
5. Most Profitable Asset
A simpler table that underscores the asset producing the highest absolute dollar profit across the portfolio.
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Multi Asset Selection
You can include up to ten different assets (such as BTCUSDT, ETHUSDT, ADAUSDT, and so on) in this script. Each asset has two inputs: one to enable or disable its inclusion, and another to select its trading pair symbol. Once you enable an asset, the script requests the relevant market data from TradingView.
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Uniqness and Features
1. Multiple Data Fetches
Each asset is pulled from the chart’s timeframe, along with various metrics such as RSI, volatility approximations, and trend indicators.
2. Various Risk and Performance Metrics
The script internally keeps track of different measures, like Sharpe ratio (a measure of average return adjusted for risk), Sortino ratio (which focuses on downside volatility), Omega ratio, and maximum drawdown. These metrics feed into the strategy allocation table, helping you quickly assess the risk-and-return profile of each asset.
3. Real-Time Tables
Instead of having to set up complex spreadsheets or external dashboards, the script updates all tables on every new bar. The color schemes in these tables are designed to draw attention to bullish or bearish signals, positive or negative returns, and so forth.
4. HODL Comparison
You can visually compare the active strategy’s results to a separate continuous buy-on-dips accumulation strategy. This allows for insight into whether your dynamic approach truly beats a simpler, more patient method.
5. Locking Allocations
The Use Fixed Allocation input is convenient for those who want to see how holding a fixed distribution of capital performs over time. It helps in distinguishing between constant rebalancing vs a fixed, set-and-forget style.
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How to use
1. Add the Script to Your Chart
Once added, open the settings panel to configure your asset list, choose a trading system, and select the diversification approach.
2. Select Assets
Pick up to ten symbols to monitor. Disable any you do not want included. Each included asset is then handled for signals, diversification, and performance metrics.
3. Choose Trading System
Decide if you prefer RSI-based signals, a fair-value approach, or a percentile-based method, among others. The script will then flag assets as bullish, bearish, or neutral according to that selection.
4. Pick a Diversification Method
For example, you might choose Trend-Following Indicators if you believe momentum stocks or cryptocurrencies will continue their trends. Or you could use the Omega Ratio approach if you want to reward assets that have had a favorable upside probability.
5. Set Portfolio Value and HODL Parameters
Enter how much capital you want to allocate in total (for the dynamic strategy) and adjust HODL buy quantities and thresholds as desired. (HODL Profit % is calculated from the Portfolio Value)
6. Inspect the Tables
On the chart, the script can display multiple tables showing your allocations, returns, risk metrics, and which assets are leading or lagging. Monitor these to make decisions about capital distribution or see how the strategy evolves.
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Additional Remarks
This script aims to simplify multi-asset portfolio management in a single tool. It emphasizes user-friendliness by color-coding the data in tables, so you do not need extra spreadsheets. The script is also flexible in letting you lock allocations or compare dynamic updates.
Always remember that no script can guarantee profitable outcomes. Real markets involve unpredictability, and real trading includes fees, slippage, and liquidity constraints not fully accounted for here. The script uses real-time and historical data for demonstration and educational purposes, providing a testing environment for various systematic strategies.
Performance Considerations
Due to the complexity of this script, users may experience longer loading times, especially when handling multiple assets or using advanced allocation methods. In some cases, calculations may time out if too many settings are adjusted simultaneously. If this occurs, removing and reapplying the indicator to the chart can help reset the process. Additionally, it is recommended to configure inputs gradually instead of adjusting all parameters at once, as excessive changes can extend the script’s loading duration beyond TradingView’s processing limits.
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Originality
This script stands out by integrating multiple asset management techniques within a single indicator, eliminating the need for multiple scripts or external portfolio tools. Unlike traditional single-asset strategies, it simultaneously evaluates multiple assets, applies systematic allocation logic, and tracks risk-adjusted performance in real time. The script is designed to function within TradingView’s script limitations while still allowing for complex portfolio simulations, making it an efficient tool for traders managing diverse holdings. Additionally, its combination of systematic trading signals with allocation-based diversification provides a structured approach to balancing exposure across different market conditions. The dynamic interplay between adaptive trading strategies and passive accumulation further differentiates it from conventional strategy indicators that focus solely on directional signals without considering capital allocation.
Conclusion
Uptrick: Portfolio Allocation Diversification pulls multiple assets into one efficient workflow, where each asset’s signal, volatility, and performance is measured, then assigned a share of capital according to your selected diversification method. The script accommodates both dynamic rebalancing and a locked allocation style, plus an ongoing HODL simulation for passive accumulation comparison. It neatly visualizes the entire process through on-chart tables that are updated every bar.
Traders and investors looking for ways to manage multiple assets under one unified framework can explore the different modules within this script to find what suits their style. Users can quickly switch among trading systems, vary the allocation approach, or review side-by-side performance metrics to see which method aligns best with their risk tolerance and market perspective.
Hanzo_Wave_Price %Hanzo_Wave_Price % is a custom indicator for the TradingView platform that combines RSI (Relative Strength Index) and Stochastic RSI while also displaying the percentage price change over a specified period. This indicator helps traders identify overbought and oversold conditions, analyze price waves, and forecast potential market movements.
How It Works
1. RSI and Stochastic RSI Calculation
RSI is calculated based on the selected price source (default: close) with a user-defined Main Line period.
Stochastic RSI is then applied and smoothed using a moving average.
The Main Line represents the smoothed Stochastic RSI, serving as a wave indicator to help identify potential entry and exit points.
2. Overbought and Oversold Zones
The 70 and 30 levels indicate overbought and oversold zones, displayed as dashed lines on the chart.
Additional 20% and 10% levels provide a visual reference for historical price changes, aiding in future predictions.
3. Percentage Price Change Calculation
The indicator calculates the percentage price change over a Barsback period (default: 30 candles).
Users can choose a multiplier (100 or 1000) for better visualization (1000 scales the values by dividing by 10).
The data is displayed as a colored area:
Red (Short) → Negative price change.
Green (Buy) → Positive price change.
Settings & Parameters
Multiplier 💪 – Selects the scaling factor (100 or 1000) for percentage values.
Main Line ✈️ – Stochastic smoothing period (smoothK).
Don't touch ✋ – Reserved value (do not modify).
RSI 🔴 – RSI calculation period.
Stochastic 🔵 – Stochastic RSI calculation period.
Source ⚠️ – Price source for calculations (default: close).
Price changes % 🔼🔽 – Enables percentage price change display.
Barsback ↩️ – Number of candles used to calculate price change.
Visual Representation
Gray Line (Takeprofit Line 🎯) – Smoothed Stochastic RSI.
Red Dashed Line (70) – Overbought zone.
Blue Dashed Line (30) – Oversold zone.
Percentage Price Change Display:
Green Fill → Price increase.
Red Fill → Price decrease.
Advantages
✅ Combined Analysis – Uses RSI and Stochastic RSI for more accurate market condition identification.
✅ Flexibility – Customizable parameters allow adaptation for different markets and strategies.
✅ Visual Clarity – Clearly defined zones and dynamic percentage change display.
✅ Additional Market Insights – The percentage price change helps assess market volatility.
Disadvantages
⚠ Lagging Signals – Smoothing may cause delayed response.
⚠ False Breakouts – The 70/30 levels may not always work effectively for all assets.
⚠ IMPORTANT!
This indicator is for informational and educational purposes only. Past performance does not guarantee future profits! Use it in combination with other technical analysis tools. 🚀
Example 1: Identifying a Long Position
📌 Scenario:
The asset price has dropped significantly (1-hour timeframe), and the Main Line (gray line) crosses below the 30 level. This signals oversold conditions, which may indicate a potential reversal or upward correction.
✅ How to Use:
1️⃣ Identifying the Entry Zone:
If the Main Line is below 30, consider looking for a long entry point.
2️⃣ Confirming the Signal:
Place a vertical line at the moment when the Main Line crosses the 30 level from below.
3️⃣ Confirmation on a Lower Timeframe:
Switch to a 30-minute timeframe and wait for the Main Line to cross above the 70 level.
Enter a long position at this point.
4️⃣ Analyzing Percentage Price Change:
Check the historical indicator behavior:
If a similar past movement resulted in a ~10% price increase (green fill), this may indicate potential upward momentum.
5️⃣ Setting Take-Profit:
Set a take-profit level at 10%, based on previous price movements.
Also, monitor when the Main Line crosses the 70 level, as this may signal a potential profit-taking point.
📊 Conclusion:
This method helps to precisely determine entry points by confirming signals across multiple timeframes and analyzing the historical volatility of the asset. 🚀
Example 2: Analyzing Percentage Price Change
📌 Scenario:
You have set the Barsback parameter to 30, and the indicator shows +3.5%. This means that over the last 30 candles, the price has increased by 3.5%.
However, such small changes might be visually difficult to notice. To improve visibility, you can enable the multiplier (1000), which will scale the displayed percentage change to 35%. This is purely for visual convenience—the actual price movement remains 3.5%.
✅ How to Use:
1️⃣ Identifying Trend Direction:
If the percentage change is positive (green area) → Uptrend.
If the percentage change is negative (red area) → Downtrend.
2️⃣ Analyzing Movement Strength:
Compare the current percentage change with previous waves to evaluate the strength of the movement.
For example:
If previous waves reached 10% or more, a current wave of 3.5% might indicate a weak trend or a local correction.
3️⃣ Additional Filtering with the Main Line (Gray Line):
Use the Main Line to confirm the trend.
If the percentage change shows an increase, but the Main Line is still below 30, further upward movement can be expected.
If the percentage change indicates a decline, but the Main Line is above 70, there is a higher probability of a downward reversal.
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