Multi-Fibonacci Trend Average[FibonacciFlux]Multi-Fibonacci Trend Average (MFTA): An Institutional-Grade Trend Confluence Indicator for Discerning Market Participants
My original indicator/Strategy:
Engineered for the sophisticated demands of institutional and advanced traders, the Multi-Fibonacci Trend Average (MFTA) indicator represents a paradigm shift in technical analysis. This meticulously crafted tool is designed to furnish high-definition trend signals within the complexities of modern financial markets. Anchored in the rigorous principles of Fibonacci ratios and augmented by advanced averaging methodologies, MFTA delivers a granular perspective on trend dynamics. Its integration of Multi-Timeframe (MTF) filters provides unparalleled signal robustness, empowering strategic decision-making with a heightened degree of confidence.
MFTA indicator on BTCUSDT 15min chart with 1min RSI and MACD filters enabled. Note the refined signal generation with reduced noise.
MFTA indicator on BTCUSDT 15min chart without MTF filters. While capturing more potential trading opportunities, it also generates a higher frequency of signals, including potential false positives.
Core Innovation: Proprietary Fibonacci-Enhanced Supertrend Averaging Engine
The MFTA indicator’s core innovation lies in its proprietary implementation of Supertrend analysis, strategically fortified by Fibonacci ratios to construct a truly dynamic volatility envelope. Departing from conventional Supertrend methodologies, MFTA autonomously computes not one, but three distinct Supertrend lines. Each of these lines is uniquely parameterized by a specific Fibonacci factor: 0.618 (Weak), 1.618 (Medium/Golden Ratio), and 2.618 (Strong/Extended Fibonacci).
// Fibonacci-based factors for multiple Supertrend calculations
factor1 = input.float(0.618, 'Factor 1 (Weak/Fibonacci)', minval=0.01, step=0.01, tooltip='Factor 1 (Weak/Fibonacci)', group="Fibonacci Supertrend")
factor2 = input.float(1.618, 'Factor 2 (Medium/Golden Ratio)', minval=0.01, step=0.01, tooltip='Factor 2 (Medium/Golden Ratio)', group="Fibonacci Supertrend")
factor3 = input.float(2.618, 'Factor 3 (Strong/Extended Fib)', minval=0.01, step=0.01, tooltip='Factor 3 (Strong/Extended Fib)', group="Fibonacci Supertrend")
This multi-faceted architecture adeptly captures a spectrum of market volatility sensitivities, ensuring a comprehensive assessment of prevailing conditions. Subsequently, the indicator algorithmically synthesizes these disparate Supertrend lines through arithmetic averaging. To achieve optimal signal fidelity and mitigate inherent market noise, this composite average is further refined utilizing an Exponential Moving Average (EMA).
// Calculate average of the three supertends and a smoothed version
superlength = input.int(21, 'Smoothing Length', tooltip='Smoothing Length for Average Supertrend', group="Fibonacci Supertrend")
average_trend = (supertrend1 + supertrend2 + supertrend3) / 3
smoothed_trend = ta.ema(average_trend, superlength)
The resultant ‘Smoothed Trend’ line emerges as a remarkably responsive yet stable trend demarcation, offering demonstrably superior clarity and precision compared to singular Supertrend implementations, particularly within the turbulent dynamics of high-volatility markets.
Elevated Signal Confluence: Integrated Multi-Timeframe (MTF) Validation Suite
MFTA transcends the limitations of conventional trend indicators by incorporating an advanced suite of three independent MTF filters: RSI, MACD, and Volume. These filters function as sophisticated validation protocols, rigorously ensuring that only signals exhibiting a confluence of high-probability factors are brought to the forefront.
1. Granular Lower Timeframe RSI Momentum Filter
The Relative Strength Index (RSI) filter, computed from a user-defined lower timeframe, furnishes critical momentum-based signal validation. By meticulously monitoring RSI dynamics on an accelerated timeframe, traders gain the capacity to evaluate underlying momentum strength with precision, prior to committing to signal execution on the primary chart timeframe.
// --- Lower Timeframe RSI Filter ---
ltf_rsi_filter_enable = input.bool(false, title="Enable RSI Filter", group="MTF Filters", tooltip="Use RSI from lower timeframe as a filter")
ltf_rsi_timeframe = input.timeframe("1", title="RSI Timeframe", group="MTF Filters", tooltip="Timeframe for RSI calculation")
ltf_rsi_length = input.int(14, title="RSI Length", minval=1, group="MTF Filters", tooltip="Length for RSI calculation")
ltf_rsi_threshold = input.int(30, title="RSI Threshold", minval=0, maxval=100, group="MTF Filters", tooltip="RSI value threshold for filtering signals")
2. Convergent Lower Timeframe MACD Trend-Momentum Filter
The Moving Average Convergence Divergence (MACD) filter, also calculated on a lower timeframe basis, introduces a critical layer of trend-momentum convergence confirmation. The bullish signal configuration rigorously mandates that the MACD line be definitively positioned above the Signal line on the designated lower timeframe. This stringent condition ensures a robust indication of converging momentum that aligns synergistically with the prevailing trend identified on the primary timeframe.
// --- Lower Timeframe MACD Filter ---
ltf_macd_filter_enable = input.bool(false, title="Enable MACD Filter", group="MTF Filters", tooltip="Use MACD from lower timeframe as a filter")
ltf_macd_timeframe = input.timeframe("1", title="MACD Timeframe", group="MTF Filters", tooltip="Timeframe for MACD calculation")
ltf_macd_fast_length = input.int(12, title="MACD Fast Length", minval=1, group="MTF Filters", tooltip="Fast EMA length for MACD")
ltf_macd_slow_length = input.int(26, title="MACD Slow Length", minval=1, group="MTF Filters", tooltip="Slow EMA length for MACD")
ltf_macd_signal_length = input.int(9, title="MACD Signal Length", minval=1, group="MTF Filters", tooltip="Signal SMA length for MACD")
3. Definitive Volume Confirmation Filter
The Volume Filter functions as an indispensable arbiter of trade conviction. By establishing a dynamic volume threshold, defined as a percentage relative to the average volume over a user-specified lookback period, traders can effectively ensure that all generated signals are rigorously validated by demonstrably increased trading activity. This pivotal validation step signifies robust market participation, substantially diminishing the potential for spurious or false breakout signals.
// --- Volume Filter ---
volume_filter_enable = input.bool(false, title="Enable Volume Filter", group="MTF Filters", tooltip="Use volume level as a filter")
volume_threshold_percent = input.int(title="Volume Threshold (%)", defval=150, minval=100, group="MTF Filters", tooltip="Minimum volume percentage compared to average volume to allow signal (100% = average)")
These meticulously engineered filters operate in synergistic confluence, requiring all enabled filters to definitively satisfy their pre-defined conditions before a Buy or Sell signal is generated. This stringent multi-layered validation process drastically minimizes the incidence of false positive signals, thereby significantly enhancing entry precision and overall signal reliability.
Intuitive Visual Architecture & Actionable Intelligence
MFTA provides a demonstrably intuitive and visually rich charting environment, meticulously delineating trend direction and momentum through precisely color-coded plots:
Average Supertrend: Thin line, green/red for uptrend/downtrend, immediate directional bias.
Smoothed Supertrend: Bold line, teal/purple for uptrend/downtrend, cleaner, institutionally robust trend.
Dynamic Trend Fill: Green/red fill between Supertrends quantifies trend strength and momentum.
Adaptive Background Coloring: Light green/red background mirrors Smoothed Supertrend direction, holistic trend perspective.
Precision Buy/Sell Signals: ‘BUY’/‘SELL’ labels appear on chart when trend touch and MTF filter confluence are satisfied, facilitating high-conviction trade action.
MFTA indicator applied to BTCUSDT 4-hour chart, showcasing its effectiveness on higher timeframes. The Smoothed Length parameter is increased to 200 for enhanced smoothness on this timeframe, coupled with 1min RSI and Volume filters for signal refinement. This illustrates the indicator's adaptability across different timeframes and market conditions.
Strategic Applications for Institutional Mandates
MFTA’s sophisticated design provides distinct advantages for advanced trading operations and institutional investment mandates. Key strategic applications include:
High-Probability Trend Identification: Fibonacci-averaged Supertrend with MTF filters robustly identifies high-probability trend continuations and reversals, enhancing alpha generation.
Precision Entry/Exit Signals: Volume and momentum-filtered signals enable institutional-grade precision for optimized risk-adjusted returns.
Algorithmic Trading Integration: Clear signal logic facilitates seamless integration into automated trading systems for scalable strategy deployment.
Multi-Asset/Timeframe Versatility: Adaptable parameters ensure applicability across diverse asset classes and timeframes, catering to varied trading mandates.
Enhanced Risk Management: Superior signal fidelity from MTF filters inherently reduces false signals, supporting robust risk management protocols.
Granular Customization and Parameterized Control
MFTA offers unparalleled customization, empowering users to fine-tune parameters for precise alignment with specific trading styles and market conditions. Key adjustable parameters include:
Fibonacci Factors: Adjust Supertrend sensitivity to volatility regimes.
ATR Length: Control volatility responsiveness in Supertrend calculations.
Smoothing Length: Refine Smoothed Trend line responsiveness and noise reduction.
MTF Filter Parameters: Independently configure timeframes, lookback periods, and thresholds for RSI, MACD, and Volume filters for optimal signal filtering.
Disclaimer
MFTA is meticulously engineered for high-quality trend signals; however, no indicator guarantees profit. Market conditions are unpredictable, and trading involves substantial risk. Rigorous backtesting and forward testing across diverse datasets, alongside a comprehensive understanding of the indicator's logic, are essential before live deployment. Past performance is not indicative of future results. MFTA is for informational and analytical purposes only and is not financial or investment advice.
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Volume Profile & Smart Money Explorer🔍 Volume Profile & Smart Money Explorer: Decode Institutional Footprints
Master the art of institutional trading with this sophisticated volume analysis tool. Track smart money movements, identify peak liquidity windows, and align your trades with major market participants.
🌟 Key Features:
📊 Triple-Layer Volume Analysis
• Total Volume Patterns
• Directional Volume Split (Up/Down)
• Institutional Flow Detection
• Real-time Smart Money Tracking
• Historical Pattern Recognition
⚡ Smart Money Detection
• Institutional Trade Identification
• Large Block Order Tracking
• Smart Money Concentration Periods
• Whale Activity Alerts
• Volume Threshold Analysis
📈 Advanced Profiling
• Hourly Volume Distribution
• Directional Bias Analysis
• Liquidity Heat Maps
• Volume Pattern Recognition
• Custom Threshold Settings
🎯 Strategic Applications:
Institutional Trading:
• Track Big Player Movements
• Identify Accumulation/Distribution
• Follow Smart Money Flow
• Detect Institutional Trading Windows
• Monitor Block Orders
Risk Management:
• Identify High Liquidity Windows
• Avoid Thin Market Periods
• Optimize Position Sizing
• Track Market Participation
• Monitor Volume Quality
Market Analysis:
• Volume Pattern Recognition
• Smart Money Flow Analysis
• Liquidity Window Identification
• Institutional Activity Cycles
• Market Depth Analysis
💡 Perfect For:
• Professional Traders
• Volume Profile Traders
• Institutional Traders
• Risk Managers
• Algorithmic Traders
• Smart Money Followers
• Day Traders
• Swing Traders
📊 Key Metrics:
• Normalized Volume Profiles
• Institutional Thresholds
• Directional Volume Split
• Smart Money Concentration
• Historical Patterns
• Real-time Analysis
⚡ Trading Edge:
• Trade with Institution Flow
• Identify Optimal Entry Points
• Recognize Distribution Patterns
• Follow Smart Money Positioning
• Avoid Thin Markets
• Capitalize on Peak Liquidity
🎓 Educational Value:
• Understand Market Structure
• Learn Volume Analysis
• Master Institutional Patterns
• Develop Market Intuition
• Track Smart Money Flow
🛠️ Customization:
• Adjustable Time Windows
• Flexible Volume Thresholds
• Multiple Timeframe Analysis
• Custom Alert Settings
• Visual Preference Options
Whether you're tracking institutional flows in crypto markets or following smart money in traditional markets, the Volume Profile & Smart Money Explorer provides the deep insights needed to trade alongside the biggest players.
Transform your trading from retail guesswork to institutional precision. Know exactly when and where smart money moves, and position yourself ahead of major market shifts.
#VolumeProfile #SmartMoney #InstitutionalTrading #MarketAnalysis #TradingView #VolumeAnalysis #CryptoTrading #ForexTrading #TechnicalAnalysis #Trading #PriceAction #MarketStructure #OrderFlow #Liquidity #RiskManagement #TradingStrategy #DayTrading #SwingTrading #AlgoTrading #QuantitativeTrading
Hourly Volatility Explorer📊 Hourly Volatility Explorer: Master The Market's Pulse
Unlock the hidden rhythms of price action with this sophisticated volatility analysis tool. The Hourly Volatility Explorer reveals the most potent trading hours across multiple time zones, giving you a strategic edge in timing your trades.
🌟 Key Features:
⏰ Multi-Timezone Analysis
• GMT (UTC+0)
• EST (UTC-5) - New York
• BST (UTC+1) - London
• JST (UTC+9) - Tokyo
• AEST (UTC+10) - Sydney
Perfect for tracking major market sessions and their overlaps!
📈 Dynamic Visualization
• Color-gradient hourly bars for instant pattern recognition
• Real-time volatility comparison
• Interactive data table with comprehensive statistics
• Automatic highlighting of peak volatility periods
🎯 Strategic Applications:
Day Trading:
• Identify optimal trading windows
• Avoid low-liquidity periods
• Capitalize on session overlaps
• Fine-tune entry/exit timing
Risk Management:
• Set appropriate stop losses based on hourly volatility
• Adjust position sizes for different market hours
• Optimize risk-reward ratios
• Plan around high-impact hours
Global Market Analysis:
• Track volatility across all major sessions
• Spot institutional trading patterns
• Identify quiet vs. active periods
• Monitor 24/7 market dynamics
💡 Perfect For:
• Forex traders navigating global sessions
• Crypto traders in 24/7 markets
• Day traders optimizing execution times
• Algorithmic traders fine-tuning strategies
• Risk managers calibrating exposure
📊 Advanced Features:
• Rolling 3-month analysis for reliable patterns
• Precise pip movement calculations
• Sample size tracking for statistical validity
• Real-time current hour comparison
• Color-coded visual system for instant insights
⚡ Pro Trading Tips:
• Use during major session overlaps for maximum opportunity
• Compare patterns across different instruments
• Combine with volume analysis for deeper insights
• Track seasonal variations in hourly patterns
• Build trading schedules around peak hours
🎓 Educational Value:
• Understand market microstructure
• Learn global market dynamics
• Master timezone relationships
• Develop timing intuition
🛠️ Customization:
• Adjustable lookback period
• Flexible pip multiplier
• Multiple timezone options
• Visual preference settings
Whether you're scalping the 1-minute chart or managing longer-term positions, the Hourly Volatility Explorer provides the precise timing intelligence needed for today's global markets.
Transform your trading schedule from guesswork to science. Know exactly when markets move, why they move, and how to position yourself for maximum opportunity.
#TechnicalAnalysis #Trading #Volatility #MarketTiming #DayTrading #Forex #Crypto #TradingView #PineScript #MarketAnalysis #TradingStrategy #RiskManagement #GlobalMarkets #FinancialMarkets #TradingTools #MarketStructure #PriceAction #Scalping #SwingTrading #AlgoTrading
Quantum Liquidity Fractal Dynamics (QLFD) v2.1The Quantum Liquidity Fractal Dynamics (QLFD) v2.1 is an advanced multi-dimensional market analysis too l engineered for professional traders seeking to identify high-probability liquidity-driven reversals. Built upon a proprietary Fractal-Liquidity Convergence Model (FLCM), QLFD v2.1 leverages quantum-phase liquidity oscillations and institutional absorption mapping to dynamically assess order flow efficiency within multi-timeframe market structures.
Core Algorithmic Methodology
QLFD v2.1 integrates a Hybridized Recursive Liquidity Matrix (HRLM) with High-Frequency Adaptive EMA Displacement (HFAED) to model non-linear liquidity density clusters. This proprietary framework is further reinforced by a Multi-Layered RSI Vorticity Filter (MLRVF), enhancing the signal integrity by filtering out stochastic noise anomalies.
The EMA-200 Rejection Dynamics, combined with the Vortex RSI Momentum Refraction Index (VRMRI), allow the system to isolate institutional footprint imbalances. By capturing transient liquidity voids and microstructure inefficiencies, QLFD v2.1 enables traders to position themselves ahead of high-probability liquidity sweeps.
Signal Efficiency & Institutional Calibration
While QLFD v2.1 exhibits an exceptionally high accuracy rate in identifying potential reversal vectors, it is imperative for traders to exercise institutional-grade signal filtration. The indicator autonomously detects Phase-Induced False Signal Clusters (PIFSCs), yet discretion remains paramount in avoiding transient liquidity mirages—a common occurrence in markets exhibiting hyper-fractalized liquidity dislocations.
For optimal performance, professional traders must apply a Multi-Stage Confirmation Protocol (MSCP), leveraging additional confluence layers such as:
Order Flow Delta Cohesion (OFDC)
Gamma-Weighted Imbalance Deviation (GWID)
Synthetic Volume Shockwave Ratio (SVSR)
These advanced methodologies ensure that traders engage only with high-probability fractal reversals, filtering out structurally unreliable signals induced by inter-market arbitrage distortions.
Final Thoughts
QLFD v2.1 is not designed for retail-grade signal chasing. It is an institutional-grade analytical framework tailored for professionals who understand the fractal complexity of modern liquidity landscapes. Mastering the art of discretionary filtration—by distinguishing true liquidity-driven reversals from algorithmically-induced decoy impulses—is the key to leveraging this system’s full potential.
VIDYA For-Loop | QuantEdgeB Introducing VIDYA For-Loop by QuantEdgeB
Overview
The VIDYA For-Loop indicator by QuantEdgeB is a dynamic trend-following tool that leverages Variable Index Dynamic Average (VIDYA) along with a rolling loop function to assess trend strength and direction. By utilizing adaptive smoothing and a recursive loop for threshold evaluation, this indicator provides a more responsive and robust signal framework for traders.
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Key Components & Features
📌 VIDYA (Variable Index Dynamic Average)
- Adaptive Moving Average that adjusts its responsiveness based on market volatility.
- Uses a dynamic smoothing constant based on standard deviations.
- Allows for better trend detection compared to static moving averages.
📌 Loop Function (Rolling Calculation)
- A for-loop algorithm continuously compares VIDYA values over a defined lookback range.
- Measures the number of times price trends higher or lower within the rolling window.
- Generates a momentum-based score that helps quantify trend persistence.
📌 Trend Signal Calculation
- A long signal is triggered when the loop score exceeds the upper threshold.
- A short signal is triggered when the loop score falls below the lower threshold.
- The result is a clear directional bias that adapts to changing market conditions.
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How It Works in Trading
✅ Detects Trend Strength – By measuring cumulative movements within a window.
✅ Filters Noise – Uses adaptive smoothing to avoid whipsaws.
✅ Dynamic Thresholds – Enables customized entry & exit conditions.
✅ Color-Coded Candles – Provides visual clarity for traders.
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Visual Representation
Trend Signals:
🔵 Blue Candles – Strong Uptrend
🔴 Red Candles – Strong Downtrend
Thresholds:
📈 Long Threshold – Upper bound for bullish confirmation.
📉 Short Threshold – Lower bound for bearish confirmation.
Labels & Annotations (Optional):
✅ Long & Short Labels can be turned on or off for trade signal clarity.
📊 Display of entry & exit points based on loop calculations.
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Settings:
VIDYA Length: 2 → Number of bars for VIDYA calculation.
SD Length: 5 → Standard deviation length for VIDYA calculation.
Source: Close → Defines the input data source (Close price).
Start Loop: 1 → Initial lookback period for the loop function.
End Loop: 60 → Maximum lookback range for trend scoring.
Long Threshold: 40 → Upper bound for a long signal.
Short Threshold: 10 → Lower bound for a short signal.
Extra Plots: True → Enables additional moving averages for visualization.
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Conclusion
The VIDYA For-Loop by QuantEdgeB is a next-gen adaptive trend filter that combines dynamic smoothing with recursive trend evaluation, making it an invaluable tool for traders seeking precision and consistency in their strategies.
🔹 Who should use VIDYA For Loop :
📊 Trend-Following Traders – Helps identify sustained trends.
⚡ Momentum Traders – Captures strong price swings.
🚀 Algorithmic & Systematic Trading – Ideal for automated entries & exits.
🔹 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets.
🔹 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Auto-Length Moving Average + Trend Signals (Zeiierman)█ Overview
The Auto-Length Moving Average + Trend Signals (Zeiierman) is an easy-to-use indicator designed to help traders dynamically adjust their moving average length based on market conditions. This tool adapts in real-time, expanding and contracting the moving average based on trend strength and momentum shifts.
The indicator smooths out price fluctuations by modifying its length while ensuring responsiveness to new trends. In addition to its adaptive length algorithm, it incorporates trend confirmation signals, helping traders identify potential trend reversals and continuations with greater confidence.
This indicator suits scalpers, swing traders, and trend-following investors who want a self-adjusting moving average that adapts to volatility, momentum, and price action dynamics.
█ How It Works
⚪ Dynamic Moving Average Length
The core feature of this indicator is its ability to automatically adjust the length of the moving average based on trend persistence and market conditions:
Expands in strong trends to reduce noise.
Contracts in choppy or reversing markets for faster reaction.
This allows for a more accurate moving average that aligns with current price dynamics.
⚪ Trend Confirmation & Signals
The indicator includes built-in trend detection logic, classifying trends based on market structure. It evaluates trend strength based on consecutive bars and smooths out transitions between bullish, bearish, and neutral conditions.
Uptrend: Price is persistently above the adjusted moving average.
Downtrend: Price remains below the adjusted moving average.
Neutral: Price fluctuates around the moving average, indicating possible consolidation.
⚪ Adaptive Trend Smoothing
A smoothing factor is applied to enhance trend readability while minimizing excessive lag. This balances reactivity with stability, making it easier to follow longer-term trends while avoiding false signals.
█ How to Use
⚪ Trend Identification
Bullish Trend: The indicator confirms an uptrend when the price consistently stays above the dynamically adjusted moving average.
Bearish Trend: A downtrend is recognized when the price remains below the moving average.
⚪ Trade Entry & Exit
Enter long when the dynamic moving average is green and a trend signal occurs. Exit when the price crosses below the dynamic moving average.
Enter short when the dynamic moving average is red and a trend signal occurs. Exit when the price crosses above the dynamic moving average.
█ Slope-Based Reset
This mode resets the trend counter when the moving average slope changes direction.
⚪ Interpretation & Insights
Best for trend-following traders who want to filter out noise and only reset when a clear shift in momentum occurs.
Higher slope length (N): More stable trends, fewer resets.
Lower slope length (N): More reactive to small price swings, frequent resets.
Useful in swing trading to track significant trend reversals.
█ RSI-Based Reset
The counter resets when the Relative Strength Index (RSI) crosses predefined overbought or oversold levels.
⚪ Interpretation & Insights
Best for reversal traders who look for extreme overbought/oversold conditions.
High RSI threshold (e.g., 80/20): Fewer resets, only extreme conditions trigger adjustments.
Lower RSI threshold (e.g., 60/40): More frequent resets, detecting smaller corrections.
Great for detecting exhaustion in trends before potential reversals.
█ Volume-Based Reset
A reset occurs when current volume significantly exceeds its moving average, signaling a shift in market participation.
⚪ Interpretation & Insights
Best for traders who follow institutional activity (high volume often means large players are active).
Higher volume SMA length: More stable trends, only resets on massive volume spikes.
Lower volume SMA length: More reactive to short-term volume shifts.
Useful in identifying breakout conditions and trend acceleration points.
█ Bollinger Band-Based Reset
A reset occurs when price closes above the upper Bollinger Band or below the lower Bollinger Band, signaling potential overextension.
⚪ Interpretation & Insights
Best for traders looking for volatility-based trend shifts.
Higher Bollinger Band multiplier (k = 2.5+): Captures only major price extremes.
Lower Bollinger Band multiplier (k = 1.5): Resets on moderate volatility changes.
Useful for detecting overextensions in strong trends before potential retracements.
█ MACD-Based Reset
A reset occurs when the MACD line crosses the signal line, indicating a momentum shift.
⚪ Interpretation & Insights
Best for momentum traders looking for trend continuation vs. exhaustion signals.
Longer MACD lengths (260, 120, 90): Captures major trend shifts.
Shorter MACD lengths (10, 5, 3): Reacts quickly to momentum changes.
Useful for detecting strong divergences and market shifts.
█ Stochastic-Based Reset
A reset occurs when Stochastic %K crosses overbought or oversold levels.
⚪ Interpretation & Insights
Best for short-term traders looking for fast momentum shifts.
Longer Stochastic length: Filters out false signals.
Shorter Stochastic length: Captures quick intraday shifts.
█ CCI-Based Reset
A reset occurs when the Commodity Channel Index (CCI) crosses predefined overbought or oversold levels. The CCI measures the price deviation from its statistical mean, making it a useful tool for detecting overextensions in price action.
⚪ Interpretation & Insights
Best for cycle traders who aim to identify overextended price deviations in trending or ranging markets.
Higher CCI threshold (e.g., ±200): Detects extreme overbought/oversold conditions before reversals.
Lower CCI threshold (e.g., ±10): More sensitive to trend shifts, useful for early signal detection.
Ideal for detecting momentum shifts before price reverts to its mean or continues trending strongly.
█ Momentum-Based Reset
A reset occurs when Momentum (Rate of Change) crosses zero, indicating a potential shift in price direction.
⚪ Interpretation & Insights
Best for trend-following traders who want to track acceleration vs. deceleration.
Higher momentum length: Captures longer-term shifts.
Lower momentum length: More responsive to short-term trend changes.
█ How to Interpret the Trend Strength Table
The Trend Strength Table provides valuable insights into the current market conditions by tracking how the dynamic moving average is adjusting based on trend persistence. Each metric in the table plays a role in understanding the strength, longevity, and stability of a trend.
⚪ Counter Value
Represents the current length of trend persistence before a reset occurs.
The higher the counter, the longer the current trend has been in place without resetting.
When this value reaches the Counter Break Threshold, the moving average resets and contracts to become more reactive.
Example:
A low counter value (e.g., 10) suggests a recent trend reset, meaning the market might be changing directions frequently.
A high counter value (e.g., 495) means the trend has been ongoing for a long time, indicating strong trend persistence.
⚪ Trend Strength
Measures how strong the current trend is based on the trend confirmation logic.
Higher values indicate stronger trends, while lower values suggest weaker trends or consolidations.
This value is dynamic and updates based on price action.
Example:
Trend Strength of 760 → Indicates a high-confidence trend.
Trend Strength of 50 → Suggests weak price action, possibly a choppy market.
⚪ Highest Trend Score
Tracks the strongest trend score recorded during the session.
Helps traders identify the most dominant trend observed in the timeframe.
This metric is useful for analyzing historical trend strength and comparing it with current conditions.
Example:
Highest Trend Score = 760 → Suggests that at some point, there was a strong trend in play.
If the current trend strength is much lower than this value, it could indicate trend exhaustion.
⚪ Average Trend Score
This is a rolling average of trend strength across the session.
Provides a bigger picture of how the trend strength fluctuates over time.
If the average trend score is high, the market has had persistent trends.
If it's low, the market may have been choppy or sideways.
Example:
Average Trend Score of 147 vs. Current Trend Strength of 760 → Indicates that the current trend is significantly stronger than the historical average, meaning a breakout might be occurring.
Average Trend Score of 700+ → Suggests a strong trending market overall.
█ Settings
⚪ Dynamic MA Controls
Base MA Length – Sets the starting length of the moving average before dynamic adjustments.
Max Dynamic Length – Defines the upper limit for how much the moving average can expand.
Trend Confirmation Length – The number of bars required to validate an uptrend or downtrend.
⚪ Reset & Adaptive Conditions
Reset Condition Type – Choose what triggers the moving average reset (Slope, RSI, Volume, MACD, etc.).
Trend Smoothing Factor – Adjusts how smoothly the moving average responds to price changes.
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Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
MomentumQ MS/OBMomentumQ MS/OB - Market Structure & Order Blocks Indicator
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The MomentumQ MS/OB Indicator is a professional-grade tool designed to help traders analyze market structure, institutional order flow, and dynamic support/resistance levels.
Unlike traditional indicators, MomentumQ MS/OB leverages advanced liquidity analysis to identify key market zones, enabling traders to spot high-probability trade setups with institutional-grade precision.
A unique advantage of this indicator is its ability to generate more order blocks across all timeframes using a custom lookback setting. This feature enhances intraday order block creation, giving traders a clearer view of market liquidity shifts in lower timeframes while remaining effective in higher timeframes.
Additionally, the dynamic support and resistance plotting system automatically adjusts based on market structure, ensuring traders have a real-time, adaptive view of key price levels. Unlike static support/resistance indicators, these dynamic zones shift based on price action, helping traders identify breakouts, retests, and liquidity traps more accurately.
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Key Features
1. Market Structure & Institutional Order Blocks
Detects institutional bullish and bearish order blocks, helping traders locate high-liquidity zones.
Real-time zone updates keep traders focused on the most relevant price levels.
Generates more order blocks in every timeframe, making it ideal for intraday and long-term trading strategies.
2. Smart Dynamic Support & Resistance Detection
Uses historical price action to identify high-impact support and resistance zones dynamically.
Updates automatically in response to price action, keeping traders focused on valid trading zones.
Helps traders anticipate breakouts, reversals, and liquidity traps in real time.
3. Institutional-Grade Price Action Analysis
Advanced algorithmic validation filters weak order blocks, ensuring only the strongest setups are displayed.
Customizable settings allow traders to adjust the indicator’s sensitivity based on their trading style.
4. Professional-Level Charting & Customization
Fully adjustable visuals – Traders can toggle features such as:
Bullish/Bearish Order Block Zones
Boundary Lines
Market Structure Levels
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How It Works
Institutional Order Blocks
The indicator scans for swing highs/lows and detects liquidity zones based on institutional price movements.
Bullish Order Blocks indicate where institutions accumulated buy orders.
Bearish Order Blocks indicate where institutions placed aggressive sell orders.
The lookback setting enhances detection, allowing traders to see more order block formations across multiple timeframes.
Market Structure & Dynamic Support/Resistance
The algorithm continuously evaluates price action and key rejection levels, dynamically adjusting support and resistance zones.
Unlike traditional static support and resistance levels, these zones shift with real-time market conditions.
Helps traders determine trend direction and anticipate market reversals.
Order Block Validation
Only high-probability order blocks are displayed, eliminating weak signals and providing stronger trade opportunities.
The indicator produces more order blocks at lower timeframes, allowing for better intraday trade execution insights.
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How to Use This Indicator
Confirm institutional trading areas by analyzing bullish and bearish order block zones.
Use dynamic support and resistance levels to identify high-probability trade zones for breakouts and reversals.
Adjust the lookback setting to control the frequency of order block detection, optimizing for intraday vs. long-term trading strategies.
Combine with price action strategies to validate trade entries and exits using breakouts, retests, and rejection signals.
This indicator works for all markets, including Forex, Stocks, Crypto, Futures, and Commodities.
Supports multiple timeframes, making it suitable for scalping, swing trading, and position trading.
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Why Is This Indicator Valuable?
Unlike traditional indicators that only plot support/resistance or trend-based signals, MomentumQ MS/OB provides a complete institutional-grade trading system:
Advanced Order Block Detection – Not just generic support and resistance, but real institutional footprints.
Smart Market Structure Recognition – Tracks trend shifts before they happen.
Adjustable Lookback Feature – Generates more order blocks on lower timeframes for precise intraday trading.
Dynamic Support and Resistance Zones – Adapts in real-time, ensuring accurate trade setups.
Customizable and Professional-Grade – Suitable for traders looking for high-probability setups.
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Example Trading Strategies
1. Order Block & Break of Structure (BoS) Confirmation
Wait for price to break structure near an institutional order block.
Enter on the first retest of the order block for a high-probability trade setup.
Set stop-loss behind the order block and target the next key level.
2. Using Dynamic Support & Resistance for Reversal Trades
If price reaches a dynamic resistance level, wait for bearish confirmation such as a rejection wick or engulfing candle.
Enter short with stop-loss above resistance and target the next dynamic support level.
Works for long trades at dynamic support levels as well.
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Disclaimer
This indicator does not guarantee profits and should be used as part of a complete trading strategy. Past performance is not indicative of future results.
2022 Model ICT Entry Strategy [TradingFinder] One Setup For Life🔵 Introduction
The ICT 2022 model, introduced by Michael Huddleston, is an advanced trading strategy rooted in liquidity and price imbalance, where time and price serve as the core elements. This ICT 2022 trading strategy is an algorithmic approach designed to analyze liquidity and imbalances in the market. It incorporates concepts such as Fair Value Gap (FVG), Liquidity Sweep, and Market Structure Shift (MSS) to help traders identify liquidity movements and structural changes in the market, enabling them to determine optimal entry and exit points for their trades.
This Full ICT Day Trading Model empowers traders to pinpoint the Previous Day High/Low as well as the highs and lows of critical sessions like the London and New York sessions. These levels act as Liquidity Zones, which are frequently swept prior to a market structure shift (MSS) or a retracement to areas such as Optimal Trade Entry (OTE).
Bullish :
Bearish :
🔵 How to Use
The ICT 2022 model is a sophisticated trading strategy that focuses on identifying key liquidity levels and price movements. It operates based on two main principles. In the first phase, the price approaches liquidity zones and sweeps critical levels such as the previous day’s high or low and key session levels.
This movement is known as a Liquidity Sweep. In the second phase, following the sweep, the price retraces to areas like the FVG (Fair Value Gap), creating ideal entry points for trades. Below is a detailed explanation of how to apply this strategy in bullish and bearish setups.
🟣 Bullish ICT 2022 Model Setup
To use the ICT 2022 model in a bullish setup, start by identifying the Previous Day High/Low or key session levels, such as those of the London or New York sessions. In a bullish setup, the price usually moves downward first, sweeping the Liquidity Low. This move, known as a Liquidity Sweep, reflects the collection of buy orders by major market participants.
After the liquidity sweep, the price should shift market structure and start moving upward; this shift, referred to as Market Structure Shift (MSS), signals the beginning of an upward trend. Following MSS, areas like FVG, located within the Discount Zone, are identified. At this stage, the trader waits for the price to retrace to these zones. Once the price returns, a long trade is executed.
Finally, the stop-loss should be set below the liquidity low to manage risk, while the take-profit target is usually placed above the previous day’s high or other identified liquidity levels. This structure enables traders to take advantage of the upward price movement after the liquidity sweep.
🟣 Bearish ICT 2022 Model Setup
To identify a bearish setup in the ICT 2022 model, begin by marking the Previous Day High/Low or key session levels, such as the London or New York sessions. In this scenario, the price typically moves upward first, sweeping the Liquidity High. This move, known as a Liquidity Sweep, signifies the collection of sell orders by key market players.
After the liquidity sweep, the price should shift market structure downward. This movement, called the Market Structure Shift (MSS), indicates the start of a downtrend. Following MSS, areas such as FVG, found within the Premium Zone, are identified. At this stage, the trader waits for the price to retrace to these areas. Once the price revisits these zones, a short trade is executed.
In this setup, the stop-loss should be placed above the liquidity high to control risk, while the take-profit target is typically set below the previous day’s low or another defined liquidity level. This approach allows traders to capitalize on the downward price movement following the liquidity sweep.
🔵 Settings
Swing period : You can set the swing detection period.
Max Swing Back Method : It is in two modes "All" and "Custom". If it is in "All" mode, it will check all swings, and if it is in "Custom" mode, it will check the swings to the extent you determine.
Max Swing Back : You can set the number of swings that will go back for checking.
FVG Length : Default is 120 Bar.
MSS Length : Default is 80 Bar.
FVG Filter : This refines the number of identified FVG areas based on a specified algorithm to focus on higher quality signals and reduce noise.
Types of FVG filters :
Very Aggressive Filter: Adds a condition where, for an upward FVG, the last candle's highest price must exceed the middle candle's highest price, and for a downward FVG, the last candle's lowest price must be lower than the middle candle's lowest price. This minimally filters out FVGs.
Aggressive Filter: Builds on the Very Aggressive mode by ensuring the middle candle is not too small, filtering out more FVGs.
Defensive Filter: Adds criteria regarding the size and structure of the middle candle, requiring it to have a substantial body and specific polarity conditions, filtering out a significant number of FVGs.
Very Defensive Filter: Further refines filtering by ensuring the first and third candles are not small-bodied doji candles, retaining only the highest quality signals.
🔵 Conclusion
The ICT 2022 model is a comprehensive and advanced trading strategy designed around key concepts such as liquidity, price imbalance, and market structure shifts (MSS). By focusing on the sweep of critical levels such as the previous day’s high/low and important trading sessions like London and New York, this strategy enables traders to predict market movements with greater precision.
The use of tools like FVG in this model helps traders fine-tune their entry and exit points and take advantage of bullish and bearish trends after liquidity sweeps. Moreover, combining this strategy with precise timing during key trading sessions allows traders to minimize risk and maximize returns.
In conclusion, the ICT 2022 model emphasizes the importance of time and liquidity, making it a powerful tool for both professional and novice traders. By applying the principles of this model, you can make more informed trading decisions and seize opportunities in financial markets more effectively.
[GrandAlgo] Candle Trap ZonesThe Candle Trap Zones indicator identifies areas where price becomes "trapped" within a defined range and refines these zones using a proprietary algorithm. This unique approach ensures that only the most relevant zones, based on both proximity and price behavior, are highlighted for traders. By integrating advanced features like Fibonacci Cloud visualization and customizable detection parameters, the indicator offers tools to support detailed and adaptable price action analysis.
How It Works:
The Candle Trap Zones indicator evaluates historical price data to identify ranges where price has been trapped. Zones are filtered using proximity detection to prevent overlaps and maintain clarity. Additionally:
The strength parameter adjusts the sensitivity of zone identification, while the trap detection range determines how far back the algorithm evaluates price data.
The Fibonacci Cloud acts as an extension of the identified zones, providing additional precision by highlighting key levels just outside the zones
The auto-adjustment feature dynamically modifies zones if new zones are formed in close proximity, ensuring the chart reflects the most relevant areas.
The zone extension feature expands zones when price re-enters, allowing traders to track extended interactions with critical levels.
Key Features:
Proximity-Based Trap Zone Detection
Dynamically identifies and refines trap zones while avoiding overlaps to keep charts clean.
Fibonacci Cloud Integration:
Extends trap zones with Fibonacci-based levels, providing actionable reference points for potential reactions.
Customizable Detection Parameters:
Fine-tune zone detection with adjustable strength and range settings to suit various trading styles.
Real-Time Alerts:
Sends notifications when price enters, exits, or re-tests a trap zone, enabling timely trading decisions.
Dynamic Zone Updates:
Continuously recalculates zones as new data becomes available, reflecting current market conditions.
Clear and Intuitive Visuals:
Trap zones and Fibonacci clouds are highlighted in distinct colors for seamless chart analysis.
Use Cases:
Identify areas where price consolidates or liquidity builds up.
Monitor zones for potential breakouts or reversals.
Fibonacci Clouds serve as additional reference points for anticipating market reactions and refining trade setups
Trap zones may highlight areas of accumulation or distribution where traders can anticipate price reversals or breakouts.
Useful for identifying liquidity zones in range-bound markets or pinpointing key levels for breakout trades in trending markets.
Adaptable for use in Forex, crypto, stocks, and other trading markets.
Disclaimer:
This indicator is a technical analysis tool designed to assist traders by providing insights into market conditions. It does not guarantee future price movements or trading outcomes and should not be relied upon as a sole decision-making tool. The effectiveness of this indicator depends on its application, which requires your trading knowledge, experience, and judgment.
Trading involves significant financial risk, including the potential loss of capital. Past performance of any tool or indicator does not guarantee future results. This script is intended for educational and informational purposes only and does not constitute financial or investment advice. Users are strongly encouraged to perform their own analysis and consult with a qualified financial professional before making trading decisions.
Big Whale Finder (BWF)The Big Whale Finder (BWF) indicator is a technical analysis tool designed to detect large, hidden orders in financial markets. These orders, often placed by institutional traders or "whales," are significant in size but executed in a way that minimizes their impact on the market price.
This tool uses volume-based analysis to identify these orders, focusing on the detection of unusual volume spikes occurring in price regions where the market remains stagnant or shows minimal movement. The indicator aims to help traders identify potential areas of institutional activity, providing a strategic advantage by recognizing patterns of hidden liquidity.
Core Logic and Methodology
The BWF indicator combines two key factors to identify potential "whale" activity:
Volume Analysis: The first condition evaluates the volume relative to its average over a defined period. This is done by calculating the Simple Moving Average (SMA) of the volume and comparing current volume levels against this average. When the volume is significantly higher than the historical average, it signals the presence of a potentially large order.
Volume Threshold=Current Volume>(Average Volume×Threshold Factor)
Volume Threshold=Current Volume>(Average Volume×Threshold Factor)
According to market theory, large trades or "whale" activities often require substantial volumes to be executed. Identifying these anomalies can offer insights into the behavior of institutional players who seek to execute large transactions without disturbing the market (Lo, 2004).
Price Movement Analysis: The second condition considers the price change in relation to the volume. Specifically, if high volumes are detected but the price remains relatively stable, this suggests that large orders are being executed without significantly impacting the market price.
This phenomenon often occurs in "liquidity pools" or through algorithms designed to mask the true size of the orders. The indicator uses a price change threshold to identify this stagnation, with the condition that price movement remains below a certain percentage threshold.
Price Stagnation=(∣Close−Open∣Open)<Price Change Threshold
Price Stagnation=(Open∣Close−Open∣)<Price Change Threshold
This principle is aligned with research on market microstructure, which suggests that large institutional orders often attempt to hide their true size to avoid influencing the market (Hasbrouck, 1991).
Practical Use and Benefits
The Big Whale Finder (BWF) indicator is useful for identifying zones where large, potentially hidden orders are being executed. Traders often seek to detect these areas to better understand market dynamics and anticipate price movements. The benefits of using such an indicator include:
Increased Market Awareness: By identifying areas of high volume with minimal price movement, traders can spot potential "whale" activity that may indicate significant institutional involvement. These hidden large orders are not immediately visible in the market price, but their impact can become evident over time (Kyle, 1985).
Strategic Entry and Exit Points: Identifying areas with hidden liquidity can help traders make more informed decisions about where to enter or exit positions. A large institutional order may signal strong interest in a specific price level, and understanding this can guide strategic decisions regarding support and resistance levels.
Mitigating Price Impact: Knowing where these large orders are placed can also assist traders in avoiding price levels where they are more likely to face slippage. For instance, avoiding areas where whales are accumulating or distributing assets may help reduce the risk of unfavorable price movements.
Scientific Foundations and References
The underlying logic of this indicator draws heavily on established theories in market microstructure and behavioral finance, particularly the concept of hidden liquidity and information asymmetry. Market participants, especially institutional traders, frequently employ strategies to hide the true size of their orders to avoid influencing the market (Hasbrouck, 1991). These strategies include the use of dark pools, where large trades are executed privately and away from public view, and algorithmic trading systems that spread large orders across multiple price levels to minimize market impact (Lobel, 2012).
Research has shown that understanding these hidden liquidity dynamics can give traders a significant edge. For example, Hasbrouck (1991) emphasized that large, hidden orders may signal upcoming price trends, as they often precede significant market moves. Similarly, Lo (2004) highlighted that institutional traders' strategies to hide orders are a critical factor in market behavior, suggesting that the ability to detect these activities could enhance trading strategies.
Conclusion
The Big Wale Finder (BWF) indicator provides a powerful tool for identifying areas where large orders are being executed without significantly impacting the price. By analyzing volume and price stagnation, it helps traders uncover hidden liquidity, which is critical for anticipating potential price movements. This indicator's effectiveness lies in its ability to detect "whale" activity, offering traders insights into the actions of institutional market participants. Understanding and leveraging these insights can provide a strategic advantage in the highly competitive and information-rich landscape of financial markets.
References
Hasbrouck, J. (1991). Measuring the Information Content of Stock Trades. Journal of Finance, 46(1), 179-207.
Kyle, A. S. (1985). Continuous Auctions and Insider Trading. Econometrica, 53(6), 1315-1335.
Lo, A. W. (2004). The Adaptive Markets Hypothesis: Market Efficiency from an Evolutionary Perspective. Journal of Portfolio Management, 30(5), 15-29.
Lobel, S. (2012). Dark Pools, Price Discovery, and Market Liquidity. The Journal of Trading, 7(1), 35-42.
MA PremiumMA Premium: Advanced Moving Average with Dynamic ATR Bands
MA Premium is a cutting-edge moving average indicator designed to help traders identify potential price reversal zones and optimize their trading strategies. The indicator combines a proprietary “Safety MA” with dynamic ATR-based support and resistance bands, visualized through clean lines and optional cloud regions.
Key Features
1. Proprietary “Safety MA”
The Safety MA utilizes a custom multi-layered EMA algorithm, providing a highly responsive and smooth trend line.
Dynamically adjusts to changing market conditions, offering clear signals for trend direction and potential reversals.
2. Dynamic ATR-Based Bands
Generates multiple support and resistance levels using advanced ATR calculations.
Bands represent zones of increasing market volatility and highlight potential price reversal areas, suitable for tiered trading strategies.
Visually separates overbought and oversold zones to assist in identifying critical price action points.
3. Customizable Settings
Adjustable Bandwidth: Scale the ATR bands dynamically using the Bandwidth Coefficient to align with market volatility.
MA Speed Selection: Toggle between “Fast,” “Medium,” or “Slow” settings to adjust the sensitivity of the Safety MA.
4. Intuitive Visualizations
Optional display of cloud lines and shaded regions to visually enhance support/resistance zones.
A clean and structured design ensures clarity in interpretation.
How to Use
Set the MA Type (“Fast,” “Medium,” or “Slow”) for desired responsiveness.
Adjust the Bandwidth Coefficient to match the current market's volatility.
The Safety MA acts as a dynamic trend-following tool.
Use the ATR-based bands to identify areas where price may react (e.g., potential reversals in overbought or oversold zones).
Employ the dynamic bands for tiered trade execution to manage risk and enhance entry/exit strategies.
Green bands highlight overbought zones (potential bearish reactions).
Red bands indicate oversold zones (potential bullish reactions).
Unlike traditional moving average tools, MA Premium introduces advanced dynamic band calculations and unique visual cues to help traders navigate market volatility effectively. Its adaptability and precision make it an invaluable tool for scalpers, swing traders, and long-term investors alike.
Note on Closed-Source Policy
As part of my development principles, I choose to publish my indicators as closed-source to preserve the uniqueness and integrity of the algorithms used. While the underlying logic remains private, the detailed description provided ensures that traders can fully understand the purpose, functionality, and application of the indicator. This approach allows me to focus on delivering original tools that add value to the trading community.
Disclaimer
This script is provided under the Mozilla Public License 2.0 and is intended for educational purposes only. It should not be construed as financial advice. Always combine this indicator with additional market context and use sound risk management practices.
SMC Hybrid V.2.1[BETA]SMC Hybrid V.2.1 — Strategy Overview
The SMC Hybrid V.2.1 script is a comprehensive "Smart Money Concepts (SMC)" hybrid indicator that integrates advanced market analysis tools, including Price Action, Fibonacci Zones, Order Blocks, Fair Value Gaps (FVG), and market structure detection (BoS/CHoCH). Designed for traders who seek precision and efficiency, this script identifies high-probability trade opportunities and reversal zones while keeping the process seamless and systematic.
Key Features
1. Intelligent Buy/Sell Signal Detection
- Generates Buy and Sell signals at key price levels based on a proprietary algorithm.
- The algorithm dynamically adjusts to market conditions, ensuring adaptability across different market environments.
2. Enhanced Signal Filtering
- Filters out less reliable signals to provide traders with higher-quality trade setups.
- Adapts to volatility and other key market factors to maintain relevance across varying market scenarios.
3. Discount/Premium Zones
- Marks key Discount and Premium zones to assist traders in identifying value trading opportunities.
- These zones act as visual guides for potential entry or exit points in trending markets.
4. Market Structure and SMC Logic
- Automatically detects Break of Structure (BoS) and Change of Character (CHoCH) and Liquidity (Inducement) levels.
- Captures trend shifts to align trade decisions with the prevailing market sentiment.
5. Demand & Supply (Order Blocks) Detection
- Identifies Demand (Bullish Order Blocks) and Supply (Bearish Order Blocks) zones based on historical price action.
- Features an auto-cleanup function to remove outdated zones for a cleaner chart.
6. Fair Value Gaps (FVG) Across Multiple Timeframes
- Highlights Bullish and Bearish FVG zones across up to five timeframes, helping traders spot critical imbalance areas.
- Includes options for extending zones and automatically removing filled FVGs to maintain chart clarity.
7. Custom Alerts for Key Events
- Fully customizable alerts for significant events, including BoS, CHoCH, new Order Blocks, and FVG fills.
- Keeps traders updated in real-time without the need for constant chart monitoring.
Application and Best Practices
1. Multi-Timeframe Analysis
- Analyze higher timeframes to determine the broader market context and use lower timeframes for precise entries.
2. Trend Alignment
- Focus on setups that align with the dominant trend for better risk-reward potential.
- Utilize BoS/CHoCH signals to refine entry and exit points during trend reversals or pullbacks.
3. Risk Management
- Use the suggested zones and levels for placing Stop Losses and Take Profits to manage risk effectively.
- Always maintain disciplined position sizing in line with your risk tolerance.
4. Supply & Demand Zone Confirmation
- Confirm potential trades by analyzing proximity to key Demand or Supply Zones to improve trade reliability.
5. Fair Value Gap Precision
- Use FVG zones to validate potential reversal or continuation trades when price fills these gaps.
6. Customization for Versatility
- Adjust indicator settings such as Fibonacci levels, OB/FVG parameters, and alert configurations to suit your trading style and market conditions.
Risk Disclaimer
The SMC Hybrid V.2.1 script is for informational and educational purposes only. Trading financial markets carries high risk and may not be suitable for all investors. Always test strategies in a demo account before applying them in live markets. The developer assumes no responsibility for any trading losses.
Summary
SMC Hybrid V.2.1 offers a cutting-edge solution for traders who seek to capitalize on Smart Money Concepts (SMC) without the complexity of manual analysis. By automating market structure detection, Demand/Supply Zone identification, and critical event alerts, it empowers traders with the tools to make informed decisions effortlessly. For optimal results, thoroughly test the script in demo conditions and integrate it into your existing trading plan before live use.
C|M Capital (Market Structure Pro)CM Capital (Market Structure Pro)
Overview:
The CM Capital (Market Structure Pro) Indicator is a groundbreaking tool for traders seeking a comprehensive market analysis. This closed-source script merges multiple facets of market dynamics into a single, user-friendly interface, designed to enhance decision-making by providing a multi-dimensional view of market behavior. By combining advanced market structure detection, liquidity event identification, Fair Value Gap analysis, and session-specific insights, this indicator offers traders a strategic advantage in navigating the complexities of financial markets.
Key Functionalities:
Market Structure Insights:
Break of Structure (BOS) and Market Structure Shifts (MSS):
Methodology: Our approach uses fractal analysis coupled with custom algorithms to dissect price movements, identifying pivotal moments where market structure breaks or shifts. The script evaluates candle patterns, volume data, and price momentum to flag these events.
Customization: Users can choose between candle close or wick confirmations and select from various line styles for visualization, tailoring the sensitivity to match their trading strategy, whether it's scalping or swing trading.
Utility: These markers act as early signals for trend changes, allowing traders to prepare for potential reversals or continuations, especially useful in volatile markets where timely decisions are crucial.
Structure Strength:
Highs and Lows Definition: The 'Structure Strength' setting in this indicator directly influences the identification of structure highs and lows. It's not just about detecting market structure; it's about defining what constitutes a significant high or low based on your trading horizon.
Swing vs. Internal Structure:
Lower Strength: Opting for a lower strength setting will highlight more extreme, swing-type structures. This means the indicator will mark out only the most pronounced highs and lows, which are ideal for traders focusing on broader market swings or longer-term trends.
Higher Strength: Conversely, increasing the strength level plots more internal structure levels. This setting is perfect for traders who want to dive into the market's micro-movements, offering insights into potential support and resistance within ongoing trends, essentially capturing more reactive and detailed price action.
Strategic Application: This adjustable parameter allows traders to zoom in or out on the market structure, aligning with their trading style or the specific market conditions they're navigating. Whether you're looking to catch significant market turns or to finesse entries and exits within a trend, the structure strength setting provides the granularity needed for nuanced market analysis.
Liquidity Sweeps:
Detection: Beyond traditional price action analysis, our indicator incorporates a unique method to spot liquidity sweeps. By analyzing price movements against historical support/resistance zones, it highlights instances where significant orders might have been absorbed, suggesting areas of potential price reversal or continuation.
Visualization: Liquidity sweeps are visually marked with customizable colors and an 'X' label, making them instantly recognizable. This feature is particularly beneficial for traders looking to enter or exit trades based on market inefficiencies or anticipated institutional activity.
Application: Traders can use these signals to anticipate where the market might react strongly, either as support for entries or as a caution for exits, enhancing trade precision.
Fair Value Gaps (FVGs):
Identification: Our proprietary FVG detection algorithm looks for price discrepancies over recent bars, signaling where the market could aim to rebalance. This is not merely about spotting gaps but understanding their context within the market's flow.
Enhanced Visualization: Users can extend FVGs across the chart, providing a clearer view of potential mean reversion points or continuation levels, aiding in setting targets or stop-losses.
Strategic Use: FVGs serve as dynamic levels where traders might expect price action to revisit, offering opportunities for mean reversion trades or confirming trend strength.
Session Visualization:
Session Markers: By delineating Asia, London, and New York session times, the indicator helps traders recognize session-specific volatility, trends, and liquidity conditions. Each session can be customized for color and duration, aligning with various trading strategies.
Timeframe Correlation: Integrating session analysis with structural and liquidity insights allows for a strategy where trades are timed not just by price action but by when in the global market cycle they occur, potentially increasing the effectiveness of entry and exit points.
Watermark Display:
Personalization: Add a personal touch or brand identity to your charts with customizable text and color options for the watermark, enhancing both the aesthetic and functional aspects of your trading setup.
Originality:
This script's originality lies in its holistic approach to market analysis. The integration of these diverse yet synergistic components provides a unique toolset:
Confluence of Signals: Each element enhances the others, creating a confluence where structural changes, liquidity events, and time-based market conditions are analyzed in concert, offering a more complete trading signal than isolated indicators.
Customization for Diverse Trading Styles: From high-frequency scalping to long-term trend following, the script's flexibility caters to a broad spectrum of trading strategies by allowing adjustments in sensitivity, visualization, and application.
How to Use:
Setup: Add the script to your chart and explore the settings in the input panel. Customize the visual and functional aspects to align with your trading style.
Strategy Application:
Use BOS/MSS for trend confirmation, liquidity sweeps for entry/exit precision, FVGs for mean reversion opportunities, and session markers to time your trades optimally.
Consider combining signals for stronger trade validation; for instance, a BOS during the London session might be more significant if it coincides with a liquidity sweep and an FVG from the Asian session.
Elite Trading Network | HQ: Quantum Edge V2Elite Trading Network HQ: Quantum Edge V2 is a sophisticated market structure analysis tool designed to help traders make informed decisions based on a deep understanding of market conditions. This script blends structural trend analysis with AI-based predictive models to provide dynamic, real-time insights into market behavior. Here is what makes Quantum Edge V2 unique:
Key Features:
Adaptive Market Structure Analysis:
The script uses a multi-level algorithm to identify key market structures, such as swing highs and swing lows, to help traders understand the underlying strength or weakness of the current market trend. It dynamically tracks critical market boundaries using historical price action and recalculates trend levels as new data emerges.
Range and Trend Condition Detection:
Quantum Edge V2 detects whether the market is trending or ranging by analyzing historical structure breaks. This detection helps identify moments of consolidation (yellow zones) or periods of trend continuation. By calculating average structural break durations, the indicator alerts users to conditions that may require caution, such as ranging markets.
Predictive AI Analysis for Entry Optimization:
An AI-powered module evaluates volume thresholds and ATR (Average True Range) to provide users with an understanding of the current market risk. The ATR is calculated based on a user-defined timeframe, giving flexibility in how users approach different market conditions. This feature also determines the risk per trade and calculates the optimal position size, ensuring that users can tailor their risk according to their trading plan.
Real-Time Alerts and Visual Indicators:
The indicator includes alerts for key conditions:
Green Condition: Signals optimal market entry conditions.
Yellow Condition: Indicates a cautionary ranging market, alerting traders to the potential lack of strong trends.
Red Condition: Identifies unsuitable market conditions for entry due to insufficient volume or unfavorable metrics.
Color-coded background visuals provide instant clarity regarding market conditions—red, yellow, or green—allowing traders to make quick, informed decisions.
Dynamic Multi-Timeframe Analysis:
The user can select a custom entry timeframe, while the script internally calculates and adapts to a higher timeframe for deep trend analysis. This approach gives traders a complete view of both the short-term (entry) and higher timeframe (overall trend) dynamics.
How to Use:
Identify Trend Conditions: The indicator visually plots key market structures (green and red structural lines) to help users determine where the market may find support or resistance. The background changes color to indicate trending (green), ranging (yellow), or high-risk (red) conditions.
Make Informed Entries: Use the real-time alerts and label information to get insights into current market conditions. If the background is green and metrics align, the indicator suggests an optimal time for entry.
Position Sizing and Risk Management: The calculated risk per trade and position size (displayed on-screen) assist users in managing risk effectively. Users can utilize this data to adjust trade sizes and maximize profit potential while adhering to their risk tolerance.
What Sets Quantum Edge V2 Apart:
Unlike other indicators that solely provide trend direction, Quantum Edge V2 offers an integrated understanding of market structure, volume analysis, and predictive AI models.
The ranging market detection (yellow zones) is particularly valuable for traders looking to avoid low-probability trades during periods of market indecision.
The use of ATR-based risk calculation ensures the position sizing is always aligned with market volatility, adding an extra layer of protection for capital.
Important Notes:
Educational Value: This script does not just tell you when to enter or exit. It provides deep insights into market dynamics, giving traders a tool to learn and improve their market understanding. The ability to view market structure across different timeframes and visualize areas of caution is crucial for long-term growth as a trader.
No Guaranteed Results: This indicator is a powerful tool for analysis, but like all trading strategies, it does not guarantee profits. Always practice proper risk management.
Why It's Worth Using: This indicator combines multi-timeframe structure analysis, volume metrics, and predictive AI modeling—an approach typically reserved for professional trading systems. Traders looking to incorporate a systematic approach to risk, ranging markets, and trend detection will find Quantum Edge V2 invaluable.
Closed-source Explanation: The script uses proprietary algorithms and unique concepts for trend detection and volume-based analysis that ensure high levels of accuracy in defining market structure and determining entry signals. Because of its complexity and the unique blend of tools, it remains closed-source.
Feedback and Support:
If you have questions or suggestions about this script, feel free to comment or reach out. We value your input as we strive to improve and provide traders with cutting-edge tools.
Support & Resistance AI LevelScopeSupport & Resistance AI LevelScope
Support & Resistance AI LevelScope is an advanced, AI-driven tool that automatically detects and highlights key support and resistance levels on your chart. This indicator leverages smart algorithms to pinpoint the most impactful levels, providing traders with a precise, real-time view of critical price boundaries. Save time and enhance your trading edge with effortless, intelligent support and resistance identification.
Key Features:
AI-Powered Level Detection: The LevelScope algorithm continuously analyzes price action, dynamically plotting support and resistance levels based on recent highs and lows across your chosen timeframe.
Sensitivity Control: Customize the sensitivity to display either major levels for a macro view or more frequent levels for detailed intraday analysis. Easily adjust to suit any trading style or market condition.
Level Strength Differentiation: Instantly recognize the strength of each level with visual cues based on how often price has touched each one. Stronger levels are emphasized, highlighting areas with higher significance, while weaker levels are marked subtly.
Customizable Visuals: Tailor the look of your chart with customizable color schemes and line thickness options for strong and weak levels, ensuring clear visibility without clutter.
Proximity Alerts: Receive alerts when price approaches key support or resistance, giving you a heads-up for potential market reactions and trading opportunities.
Who It’s For:
Whether you're a day trader, swing trader, or just want a quick, AI-driven way to identify high-probability levels on your chart, Support & Resistance AI LevelScope is designed to keep you focused and informed. This indicator is the perfect addition to any trader’s toolkit, empowering you to make more confident, data-backed trading decisions with ease.
Upgrade your analysis with AI-powered support and resistance—no more manual lines, only smart levels!
APF Indicator with Enhanced Machine LearningKey Components:
Physics-Inspired Features:
Fractal Geometry (High/Low Signal): Utilizes pivot points to identify fractal patterns in price movements, which can signal potential market reversals.
Quantum Mechanics (Probabilistic Monte Carlo Signal): Employs Monte Carlo simulations to capture the probabilistic nature of market behavior, reflecting the randomness and uncertainty inherent in financial markets.
Thermodynamics (Efficiency Ratio Signal): Measures the efficiency of price movements over a period, comparing directional change to total volatility to assess trend strength.
Chaos Theory (Normalized ATR Signal): Analyzes market volatility using the Average True Range (ATR) and normalizes price deviations to identify chaotic market conditions.
Network Theory (Correlation Signal with BTC): Examines the correlation between the asset in question and Bitcoin (BTC) to understand interconnected market dynamics and potential influences.
String Theory (Combined RSI & MACD Signal): Combines the Relative Strength Index (RSI) and Moving Average Convergence Divergence (MACD) indicators to evaluate momentum and trend direction.
Fluid Dynamics (Normalized OBV Signal): Uses On-Balance Volume (OBV) to assess the flow of volume in relation to price changes, indicating buying or selling pressure.
Advanced Machine Learning Engine:
Ensemble Learning: Implements an ensemble of five machine learning models to improve predictive performance and reduce overfitting.
Adaptive Learning Rate (Adam Optimizer): Uses the Adam optimization algorithm to adjust learning rates dynamically, enhancing convergence speed and handling of noisy data.
Training Loop: Models are trained over a specified number of epochs, updating weights based on the error between predicted and actual values.
Feature Vector: Combines the physics-inspired signals into a feature vector that serves as input for the machine learning models.
Prediction and Error Calculation: Each ensemble member generates a prediction, and errors are calculated to refine model weights through gradient descent.
Signal Post-Processing:
Signal Smoothing: Applies an Exponential Moving Average (EMA) to smooth the machine learning signal, reducing noise.
Memory Retention Factor: Incorporates a memory factor to blend the smoothed signal with the raw prediction, balancing recent data with historical trends.
Color Coding: Assigns colors to the signal based on percentile ranks, providing visual cues for signal strength (e.g., green for strong signals, red for weak signals).
Market Condition Analysis:
Volatility Assessment: Compares short-term and long-term volatility to determine if the market is experiencing high volatility.
Trend Identification: Uses moving averages to identify bullish or bearish trends.
Background Coloring: Changes the chart background color based on market conditions, offering an at-a-glance understanding of current trends and volatility levels.
Usage and Customization:
Inputs and Parameters: The indicator allows users to customize various parameters, including learning rate, lookback period, memory factor, number of simulations, error threshold, and training epochs, enabling fine-tuning according to individual trading strategies.
Dynamic Adaptation: With adaptive learning rates and ensemble methods, the indicator adjusts to evolving market conditions, aiming to maintain performance over time.
Benefits:
Comprehensive Analysis: By integrating multiple physics-inspired signals, the indicator captures different facets of market behavior, from momentum to volatility to volume flow.
Enhanced Predictive Accuracy: The advanced machine learning engine, particularly the use of ensemble learning and the Adam optimizer, strives to improve prediction accuracy and model robustness.
User-Friendly Visualization: The use of color-coded signals and background shading makes it easier for traders to interpret the data and make informed decisions quickly.
Versatility: Suitable for various timeframes and assets, especially those with significant correlation to Bitcoin, given the inclusion of the network theory component.
Conclusion:
This indicator represents a fusion of advanced technical analysis and machine learning, leveraging complex algorithms to provide traders with potentially more accurate and responsive signals. By combining traditional indicators with innovative computational techniques, it aims to offer a powerful tool for navigating the complexities of financial markets.
