BTC/M2 Fire Sniffer (Liquidity Range Z-Score)Howdy Fella. Great to see you here, exploring the true data in CRYPTOCAP:BTC analysis.
To ensure a perfect view on the markets, here are a few tips on how to fine tune the Fire Sniffer:
- Z-Score Lookback: 40
- Liquidity Ratio SuperSmoother Length: 8
- Z-score SuperSmoother Length: 132
Set the ranges as following:
Mean: -0.53
Liquidity Cycle Top: 0.8
Liquidity Cycle Bottom: -0.65
With that, you are set to go. Enjoy and make sure to let me know your thoughts on the script. You can contact me on X: @thebitcoinfrontier
Siklus
Day SeparatorTitle: Professional Day Separator & Custom Session Labels
Description: This indicator is a clean and essential tool for intraday traders (M1, M5, M15) who need a clear visual separation between trading days. Unlike the standard TradingView period breaks, this script allows full control over the appearance and the exact timing of the separators to match your broker's server time.
Key Features:
Deep Black Vertical Lines: High-contrast separators for better chart clarity.
Customizable Thickness: Adjust the line width to suit your visual preference and chart background.
Custom Session Start: Perfect for traders whose "day" starts at a specific time (e.g., 23:00) due to broker offsets or specific session focus.
Centered Day Labels: Day-of-the-week labels (M O N, T U E, etc.) are placed at the bottom of the chart and can be perfectly centered between the separators.
Stability: Built using Pine Script V5 with absolute vertical alignment logic to prevent "leaning" or horizontal line glitches.
How to use:
Line Thickness: Adjust the "Linien Dicke" in the settings to make separators more or less prominent.
Align to Broker Time: If your broker starts the new daily candle at 23:00, simply set the "Tagesbeginn" to 23. The separator will then snap to that exact candle.
Perfect Label Centering: Use the "Label Stunde" slider to move the day labels left or right until they are centered between your lines (usually around 11:00 or 12:00 depending on your offset).
Why use this? Standard session breaks often look cluttered or don't align with local time zones/broker sessions. This script keeps your chart professional and ensures you always know exactly which day of the week you are trading.
Auto Trend LinesPivot Left/Right Bars: Higher = fewer but stronger pivots (try 5-15 for weekly charts)
Extend Lines Forward: How far to project (50-200 bars recommended)
Line Color: Change to match your preference
Show Pivot Markers: Turn on to see where pivots are detected
Dual MACD + MFI + Volume Trend [v6] | High-ConvictionMFI MACD VOL to know when to enter and leave trades
Educational Trend Direction (Up & Down)🔍 Overview
This indicator is designed to visually represent trend direction and trend transitions using a simple moving-average relationship. It is built strictly for educational and analytical purposes, allowing users to observe how price behaves during upward and downward market phases without relying on trading signals or predictions.
The indicator focuses on trend context, not trade execution.
⚙️ How the Indicator Works
The script calculates two exponential moving averages:
A fast trend line that reacts quickly to recent price changes
A slow trend line that represents broader market direction
Trend direction is determined by the relative position of these two lines.
When the fast line moves above the slow line, the market is considered to be in an upward trend phase
When the fast line moves below the slow line, the market is considered to be in a downward trend phase
This relationship helps visualize trend shifts and momentum changes in a simple and intuitive way.
🎨 Visual Components Explained
🟢 Green Trend Line
Represents the fast moving average during upward trend phases
Indicates that price is maintaining strength relative to the broader trend
Color reflects trend direction only, not confirmation or entry
🔴 Red Trend Line
Represents the fast moving average during downward trend phases
Indicates sustained weakness relative to the broader trend
Color does not imply selling or future continuation
⚪ Grey Trend Line
Represents the slow moving average
Acts as a baseline trend reference
Helps distinguish between short-term fluctuations and broader direction
🎨 Background Shading
Light green shading appears during upward trend environments
Light red shading appears during downward trend environments
Background color provides context only and does not signal market actions
🎯 Purpose & Benefits
Helps identify trend phases in a clear and minimal way
Improves understanding of trend transitions and momentum shifts
Reduces visual noise compared to raw price data
Encourages context-based analysis instead of signal dependency
Suitable for all markets and timeframes
⚠️ Important Notes
This indicator does not generate buy or sell signals
No targets, stop levels, or performance metrics are included
Trend conditions are descriptive, not predictive
Past behavior does not guarantee future outcomes
Users should always apply their own analysis and risk management when interpreting market data.
📚 Intended Use
This tool is intended for:
Market trend study
Educational demonstrations
Visual analysis of trend direction
Long-term chart structure awareness
It is not intended for automated trading or decision-making.
DF Stock Rating TableDF Stock Rating Table.
This indicator provides a comprehensive "at-a-glance" Scorecard for any stock. It is designed for growth traders and investors who follow strategies similar to CAN SLIM or Minervini, helping you instantly separate true Market Leaders from lagging stocks.
It combines Technical Momentum (Price action) with Fundamental Growth (Earnings & Sales) to generate a composite "Overall Rating."
📊 What the Metrics Mean
Here is a breakdown of every row in the dashboard and how to interpret the numbers:
1. RS Rating (Est)
What it is: A 1-99 score measuring the stock's price performance over the last 12 months.
How it works: It uses a weighted formula that gives more importance to the most recent 3 months of price action.
The Goal: A score of 80-99 indicates the stock is in the top tier of price performers. A score below 50 means it is lagging.
Note: This is a mathematical estimation based on fixed benchmarks, as Pine Script cannot scan the entire market relative to other stocks.
2. vs SPY (Alpha)
What it is: Measures the "Relative Strength" of the stock compared specifically to the S&P 500 (SPY).
How to read it:
Positive (Green/Blue): The stock is moving faster than the general market. It is a Leader.
Negative (Red): The stock is performing worse than the market. It is a Laggard.
Why it matters: In a bull market, you want to own stocks that are outperforming the index, not just following it.
3. EPS Growth (YoY)
What it is: Earnings Per Share Growth (Year-Over-Year).
The Math: Compares the most recent Quarterly Earnings to the same quarter one year ago.
Why it matters: This checks Profitability. We look for big double-digit or triple-digit numbers here. If this is Red/Negative, the company's profits are shrinking.
4. Sales Growth (YoY)
What it is: Revenue Growth (Year-Over-Year).
The Math: Compares the most recent Quarterly Revenue to the same quarter one year ago.
Why it matters: This checks Product Popularity. Sales numbers are harder to manipulate than Earnings. If EPS is up but Sales are down, the growth may be low quality (cost-cutting). Ideally, you want to see +25% or higher.
5. OVERALL RATING
The Verdict: A composite score (0-99) that combines all the above factors plus the stock's long-term trend (Moving Averages).
Blue (90+): Elite status. Strong technicals and strong fundamentals.
Green (70+): Strong status. Worth watching or holding.
Gray/Red: Weak or mixed data.
🚀 Key Features
Timeframe Locked: The data is calculated using Daily charts. You can switch to a 5-minute or 1-hour chart to time your entry, and the Fundamental/RS numbers will stay rock solid and accurate.
Hybrid Analysis: Most indicators are only technical. This pulls live Financial Data from TradingView to give you the fundamental picture instantly.
Customizable Position: Go to Settings to move the dashboard to any corner of your screen (Top Right, Bottom Left, etc.).
Crypto/Forex Friendly: If Financial Data (Earnings) is not available for an asset (like Bitcoin), the script automatically detects this and calculates the rating based purely on Price Performance.
⚠️ Disclaimer
This tool is for educational and analytical purposes only. High ratings do not guarantee future price increases. Always manage risk and do your own due diligence.
Educational Market Structure & Trend Context🔍 Overview
This time-limited indicator is designed for educational and analytical purposes only. It helps users visually study price structure behavior and trend context by marking key structural points on the chart and overlaying a trend reference line. The indicator does not generate trading signals, predictions, or recommendations.
⚙️ How the Indicator Works
The script analyzes price action over a user-defined lookback period to identify local structural points:
Higher Highs within the selected range
Lower Lows within the selected range
These points are plotted as simple visual markers to help users understand how price is evolving over time.
In addition, a moving average is applied to provide broader trend context.
🟢 Green Markers (Structure Strength)
Appear when price forms a local higher high within the lookback window
Represent relative strength in price structure
They are not buy signals and do not indicate future movement
🔴 Red Markers (Structure Weakness)
Appear when price forms a local lower low within the lookback window
Represent relative weakness in price structure
They are not sell signals and do not indicate reversals
➖ Grey Line (Trend Context Line)
This line is a moving average calculated over a fixed period
It provides trend context only, helping users visually distinguish between upward and downward environments
It does not act as support, resistance, or entry guidance
🎨 Background Shading (Optional Context)
A subtle background color may appear depending on price position relative to the trend line
This shading is purely visual context, not a signal or confirmation
🎯 Purpose & Benefits
Helps users study market structure in a clean and simple way
Encourages price-action awareness instead of signal dependency
Supports manual analysis, learning, and chart reading skills
Keeps the chart minimal, non-predictive, and professional
⚠️ Important Notes
This indicator does not provide buy/sell signals
No targets, stop levels, or profit expectations are included
Past structure points do not predict future outcomes
Users should apply their own analysis and risk management
Wyckoff Cycle Detection ProWyckoff Market Structure Indicator – Full Cycle Detection
Overview
The Wyckoff Market Structure Indicator is an original TradingView tool designed to identify and visualize the full Wyckoff market cycle using objective, rule-based market structure analysis. The indicator automatically detects Accumulation, Markup, Distribution, and Markdown phases, including Re-Accumulation and Re-Distribution, and displays each phase directly on the chart using clearly defined visual elements.
Rather than relying on rigid, textbook pattern templates, the script applies adaptive logic to interpret real-world price behavior. This allows it to recognize Wyckoff structures even when price action deviates from idealized examples, which is common in live markets.
What the Indicator Displays
Once a Wyckoff phase is confirmed, the indicator plots:
Colored phase boxes to define the active market phase
Dynamic support and resistance levels derived from structural extremes
Wyckoff event labels that appear only when contextual conditions are met
An optional dotted Automatic Rally (AR) extension line to visualize range projection
The indicator operates in real time using confirmed data only and does not rely on future-looking calculations.
Wyckoff Events Identified
During Accumulation, the script may label:
Preliminary Support (PS)
Selling Climax (SC)
Automatic Rally (AR)
Secondary Test (ST)
Spring / Shakeout and Tests (when conditions support them)
Sign of Strength (SOS)
Last Point of Support (LPS)
Back-Up (BU)
During Distribution, the script may label:
Preliminary Supply (PSY)
Buying Climax (BC)
Automatic Reaction (AR)
Secondary Test (ST)
Upthrust / UTAD
Sign of Weakness (SOW)
Last Point of Supply (LPSY)
Labels are only plotted when price structure, volatility behavior, and contextual conditions reasonably support the Wyckoff interpretation, helping reduce visual noise and false signals.
How It Works
The indicator evaluates multiple market factors simultaneously, including:
Swing structure and range development
Volatility behavior using ATR-based measurements
Relative expansion and contraction within trading ranges
Prior trend context to distinguish accumulation from distribution
By combining these inputs, the script focuses on identifying meaningful institutional-style accumulation and distribution rather than random consolidation.
Practical Use
Traders can use this indicator to:
Determine the current Wyckoff phase and dominant market intent
Align trades with Markup or Markdown phases
Identify potential accumulation and distribution zones
Add objective structure and context to discretionary price-action analysis
Review historical cycles for study or strategy refinement (optional)
The indicator is designed to work across all major markets, including Forex, stocks, crypto, and futures, and is applicable to any timeframe.
Design Philosophy
The script emphasizes clarity and usability. It requires minimal configuration, keeps charts readable, and allows optional visibility of historical Wyckoff cycles for educational or analytical purposes.
Disclaimer
This indicator is intended for educational and analytical use only and does not constitute financial advice. Always apply proper risk management when trading.
KaiBot Staircase Magnetized editionOverview
The KaiBot Staircase is a multi-timeframe trend analysis indicator that visualizes hierarchical price levels across different timeframes, creating a "staircase" effect. It helps traders identify confluence zones where multiple timeframe trends align and detect momentum shifts through dynamic color coding.
Core Concept
The indicator operates on a parent-child timeframe relationship:
Each timeframe has a corresponding "sub-timeframe" that acts as its leading signal
For example: the 15m timeframe pairs with 1m, 1H pairs with 3m, 4H pairs with 15m, Daily pairs with 1H, etc.
This creates a cascade from micro to macro timeframes spanning 1 minute to 12 months
Key Features:
1. Adaptive Timeframe Lines
Automatically selects the relevant timeframe based on your chart.
Shows trend lines which help you find pivotal levels in time.
2. Magnet Zones
Highlights support/resistance zones.
Optionally creates a "typical price" pivot with extension targets.
3. Fluctuation Color System
The lines change color based on momentum state of the parent timeframe:
Lime: Strong bullish momentum (increasing)
Green: Bullish but decelerating
Red: Strong bearish momentum (increasing)
Maroon: Bearish but decelerating
Gray: "Danger zone" - low volatility/squeeze condition
4. Lead Line
A directional signal line showing immediate trend (green = bullish bias, red = bearish).
5. Information Table
Displays all active timeframe pairs.
Shows time remaining until each timeframe closes.
Color-coded to match the fluctuation state.
Settings
Show TF lines for: Main Only / Main+Parent / Parentception (recursive) / All above main
Max TF lines: Limit when showing "All above main" (1-15)
Show pivot zones for: Control which timeframes display magnet zones
Show main pivot extensions: Enable extended target levels
Show lead line: Toggle the directional signal line
Disable danger zone gray: Force colors even during squeeze conditions
Show fluctuation colours for: Control which lines receive momentum coloring
Color gaps between TF lines: Fill areas between staircase levels
Only show visible TF index: Filter table to displayed timeframes only
How to Use
Trend Confirmation: When multiple timeframe lines are the same color, it indicates trend alignment across timeframes
Support/Resistance: Use the magnet zones as potential reversal or continuation areas
Squeeze Detection: Gray coloring warns of consolidation periods that often precede breakouts
Time Management: The table shows when each timeframe candle closes, helping time entries/exits
Best Practices
Use "Main and Parentception" mode to see the recursive timeframe hierarchy.
Watch for color transitions from gray to directional colors (breakout signals).
Higher timeframe lines act as stronger support/resistance levels.
The lead line provides early directional bias before the main line confirms.
GT Model IndicatorThis indicator will help you detect 15m FVGs on NQ. After setting the alert, you can check the chart to see if the FVG aligns with the Bias. This way, when the price reenters this FVG, we can check the LTF for an IFVG that aligns with the Bias. If you find this FVG interesting, set a manual alert on the FVG again, let the price return, and see if you can initiate a continuation trade towards the clear DOL.
You can also specify a time window for the alerts to arrive.
This indicator is for "NQ1!"
We will update this Script allong the way, so stay tuned, more to come.
Neeson Mayer MultipleIntegrating the Mayer Multiple Indicator: A Practical Guide for Market Analysis
Introduction
The Mayer Multiple indicator is a specialized tool designed to assess asset valuations relative to their long-term historical trends. By comparing current price action against a long-term simple moving average, this indicator provides a quantitative framework for identifying potential overbought and oversold conditions. This article explains the rationale behind its design, operational mechanics, practical applications, and unique value proposition.
Purpose and Functionality
The primary function of the Mayer Multiple indicator is to measure how far current prices deviate from a long-term moving average, expressed as a ratio. This measurement helps traders and investors identify:
Extreme valuation levels that may signal potential reversal points
Long-term trend strength and sustainability
Market psychology shifts between fear and greed cycles
Originally popularized in Bitcoin analysis, the indicator's principles apply to any volatile asset class where mean reversion tendencies exist alongside strong trend characteristics.
Operational Principles
The indicator operates through several interconnected components:
Core Calculation Mechanism
At its heart, the indicator calculates the Mayer Multiple by dividing the current closing price by a configurable simple moving average (default: 200 periods). This ratio represents how many times the current price exceeds its long-term average, providing an immediate visual reference for valuation extremes.
Multi-Level Threshold System
Four configurable thresholds create distinct market condition zones:
Optimal Buy Zone (default: 0.7) - Historically extreme undervaluation
Undervalued Zone (default: 1.0) - Moderate undervaluation
Overvalued Zone (default: 2.4) - Moderate overvaluation
Optimal Sell Zone (default: 3.5) - Historically extreme overvaluation
These thresholds create a graduated scale of market conditions rather than binary signals.
Visual Signal Hierarchy
A sophisticated color-coding system prioritizes different signal types based on their significance:
White/Gray: Neutral territory (between undervalued and overvalued thresholds)
Aqua: Entering undervalued territory (potential accumulation zone)
White: Reaching optimal buying conditions (historically rare opportunities)
Yellow: Entering overvalued territory (potential distribution zone)
Orange: Reaching optimal selling conditions (historically rare extremes)
Green: Emerging from optimal buying conditions (momentum shift confirmation)
Red: Retreating from optimal selling conditions (momentum reversal confirmation)
This hierarchy helps users distinguish between entry signals, exit signals, and confirmation signals.
Integration Rationale
The integration of these components follows a logical progression:
Mathematical Foundation
The moving average provides a stable reference point that filters out short-term noise while maintaining sensitivity to long-term trend changes. The ratio format normalizes values across different price levels and timeframes, enabling cross-asset comparisons.
Behavioral Finance Alignment
The threshold system corresponds to documented market psychology patterns. The extreme thresholds (optimal buy/sell) represent points where fear or greed typically reach maximum intensity, while the moderate thresholds represent early warning levels.
Progressive Signal Detection
The indicator tracks both threshold breaches and retreats from extreme zones. This dual-tracking approach captures not only when conditions become extreme but also when they begin to normalize—often the most actionable moments for position adjustments.
Component Synergy
The indicator's components work together through a continuous feedback loop:
Calculation Engine: Continuously computes the core ratio, serving as the foundation for all subsequent analysis.
Threshold Comparator: Compares the current ratio against user-defined thresholds, categorizing market conditions in real-time.
Signal Generator: Identifies specific events (threshold crossings, zone entries/exits) and assigns appropriate visual representations.
Visual Renderer: Displays the information through colored histograms, reference lines, and data tables, creating an intuitive interface.
Alert System: Monitors for predefined conditions and notifies users of significant developments without requiring constant screen monitoring.
This integrated approach transforms raw price data into structured, actionable information while maintaining mathematical rigor and visual clarity.
Practical Application Guidelines
Parameter Customization
Users should adjust parameters based on:
Asset volatility (higher volatility assets may require wider thresholds)
Timeframe (longer timeframes may benefit from longer moving averages)
Personal risk tolerance (conservative traders may use tighter thresholds)
Signal Interpretation Framework
Zone-Based Analysis: Focus on which zone the indicator occupies rather than chasing individual data points
Confirmation Seeking: Use extreme zone signals (white/orange) as alerts for further analysis rather than automatic trade triggers
Momentum Assessment: Observe how quickly the indicator moves between zones as a measure of trend strength
Complementary Tools
The Mayer Multiple works best when combined with:
Volume analysis to confirm participation during extreme readings
Momentum indicators to identify potential divergence
Support/resistance levels for precise entry/exit timing
Fundamental analysis for context validation
Distinctive Attributes
Original Implementation Features
Progressive Color System: Unlike binary indicators, this implementation provides graduated signals through a carefully prioritized color hierarchy.
Dual-Signal Detection: The indicator captures both threshold breaches and retreats, offering insights into momentum shifts rather than just static levels.
Contextual Display: The integrated data table provides immediate access to key metrics without cluttering the chart space.
Customizable Framework: All thresholds and calculation periods are adjustable, allowing adaptation to different market regimes and trading styles.
Practical Innovation
The indicator's design emphasizes usability through:
Immediate visual comprehension via color coding
Clear separation between alert conditions and confirmation signals
Balanced information density (sufficient data without overload)
Flexible integration with existing trading workflows
Responsible Usage Considerations
Empirical Perspective
Historical analysis suggests that assets frequently revert toward their long-term moving averages, but the timing and extent of such reversions vary significantly. The indicator identifies statistical extremes rather than predicting immediate price movements.
Risk Management Integration
Users should:
Treat extreme readings as risk management triggers rather than directional forecasts
Consider position sizing based on distance from the moving average
Implement stop-loss strategies regardless of indicator readings
Avoid allocating excessive weight to any single indicator
Performance Realism
The indicator does not guarantee profitable outcomes. Its value lies in providing structured information about valuation extremes, which must be interpreted within broader market context and individual risk parameters.
Conclusion
The Mayer Multiple indicator represents a thoughtfully integrated approach to long-term valuation analysis. By combining mathematical rigor with behavioral insights and practical visualization, it provides traders with a structured framework for assessing market extremes. Its modular design allows customization while maintaining core analytical integrity, and its emphasis on graduated signals helps avoid the oversimplification common in technical indicators. When used as part of a comprehensive trading methodology with appropriate risk management, it can contribute valuable perspective to the decision-making process.
[COG] Platypus Platypus
Overview
Platypus is a volume momentum indicator that combines price action, volume analysis, and multi-timeframe confirmation to generate trade signals. Unlike traditional volume indicators, Platypus reconstructs volume momentum by factoring in price velocity, volatility adjustment, and market structure to identify true institutional momentum shifts.
The indicator features a comprehensive filtering system including EMA alignment, background state confirmation, and optional multi-timeframe filters to eliminate false signals and ensure you only trade with the strongest momentum.
Key Features
✅ Volume Momentum Calculation
Volatility-Adjusted Volume: Normalizes volume relative to recent volatility periods
Quiet Market Filtering: Reduces noise during low-activity periods
Spike Detection: Identifies abnormal volume surges with boosted weighting
Momentum Smoothing: EMA-based smoothing prevents erratic signals
✅ Entry Pattern Detection
3-Bar Pattern Requirement: RED → GREEN → GREEN for buys (opposite for sells)
State Management: Prevents consecutive signals in same direction without reset
Background Confirmation: Must align with bullish/bearish market state
EMA Alignment Filter: Ensures trend structure supports the trade direction
✅ Multi-Timeframe Filtering System
HTF Closed Bar Filter: Confirms last closed higher timeframe bar matches direction (no repaint)
HTF Momentum Filter: Requires current HTF bar to match direction (live, prevents delayed entries)
Dual-Filter Capability: Use both filters for maximum precision
✅ Dashboard
Real-time Status Monitoring: Volume trend, background state, EMA order, trade state
Filter Status Display: Shows HTF filter conditions and signal permission
Pattern Detection: Indicates when 3-bar entry pattern is forming
✅ On-Chart Integration
50/100/200 EMAs: Automatically plotted on price chart with customizable colors
Visual Entry Markers: Triangle signals appear on price chart at entry points
Signal Alerts: Built-in alert conditions for all signal types
📚 Core Settings Explained
signalPeriod = input.int(8, "Signal Period", minval=1, group="Core Settings")
Signal Period (Default: 8): Controls the smoothing of the signal line (blue line). Lower values = more responsive, higher values = smoother but slower to react.
volatilityPeriod = input.int(20, "Volatility Period", minval=1, group="Core Settings")
Volatility Period (Default: 20): Lookback period for volume and price range calculations. This period is used to normalize volume relative to recent market conditions.
priceFilterLength = input.int(200, "Price Filter MA Length", minval=1, group="Core Settings")
Price Filter MA Length (Default: 200): The SMA period used for background state determination. Price must be above this MA for bullish background, below for bearish background.
Advanced Settings
momentumMultiplier = input.float(50.0, "Momentum Multiplier", minval=20.0, maxval=80.0, step=2.0, group="Advanced")
Momentum Multiplier (Default: 50.0): Scales the final momentum score. Higher values = larger histogram bars and more sensitivity. Adjust based on your instrument's volatility.
momentumSmoothing = input.int(4, "Momentum Smoothing", minval=1, maxval=15, group="Advanced")
Momentum Smoothing (Default: 4): EMA period applied to raw momentum before normalization. Higher values reduce noise but add lag.
quietThreshold = input.float(0.3, "Quiet Market Filter", minval=0.0, maxval=1.0, step=0.05, group="Advanced")
Quiet Market Filter (Default: 0.3): During low-volume periods, this applies exponential dampening to momentum. Higher values = more aggressive filtering of weak moves.
volStrengthFactor = volRatio < (1.0 + quietThreshold) ? math.pow(volRatio, 2) : volRatio
When volume is less than average + threshold, it squares the ratio (dampening), otherwise uses linear scaling.
Celestial StateCelestial State (C1) – Market Bias & Candle Intent
Celestial State (C1) is a price-action indicator designed to clarify market bias, momentum, and risk conditions using nothing but candle structure.
No indicators.
No lag.
Just clean candle logic.
The tool separates state (what the market is) from intent (what the market is doing right now).
🔹 Core Concept
The indicator works on the chart timeframe and uses closed candles only to define market state.
It then monitors the current candle to identify:
momentum confirmation
early warnings
potential trap / reversal behaviour
🔹 Market State (Based on C1 – last closed candle)
State is derived from the relationship between the last two closed candles:
Bull Trend Start
Bearish candle → Bullish candle
Bull Continuation
Bullish candle → Bullish candle
Bear Trend Start
Bullish candle → Bearish candle
Bear Continuation
Bearish candle → Bearish candle
This defines the directional environment before any decision is made.
🔹 Bias & Momentum (Live Candle)
Once state is defined, the current candle is monitored relative to the previous candle’s high and low.
Strong Buy
Bullish state
Previous candle bullish
Current candle breaks previous high
Strong Sell
Bearish state
Previous candle bearish
Current candle breaks previous low
These represent momentum continuation with confirmation.
Buy / Sell (Normal Bias)
Price is in a bullish or bearish state
No momentum break yet
This is directional bias without confirmation.
Changing Bias
Bullish state + previous low broken
Bearish state + previous high broken
This warns that control is being challenged and conditions may be shifting.
🔹 Flip (Strict Order)
A Flip is a high-risk condition where expansion fails:
Bull Flip
Current candle breaks previous high first, then breaks previous low
Bear Flip
Current candle breaks previous low first, then breaks previous high
This often signals:
failed breakouts
stop hunts
transition zones
🔹 Visual Output
Top-right panel shows:
Current Celestial State (C1)
Current Bias (Strong Buy / Sell / Changing Bias)
Short explanation (e.g. High broken, Low broken)
On-chart markers are intentionally minimal and offset away from price to reduce clutter.
🔹 Who This Is For
This indicator is built for traders who:
trade price action
want context before execution
prefer clarity over complexity
understand that bias ≠ entry
⚠️ Disclaimer
This tool does not provide entries, exits, or risk management.
It is a context and intent framework, not a signal system.
Use it as a decision-support layer alongside your own execution rules.
JBCs Liquidity Vacuum ProJBC's Liquidity Vacuum Pro – The map of institutional liquidity
IMPORTANT NOTE ON RISK MANAGEMENT:
Before opening a position in a liquidity zone, we strongly recommend using our JBC's Volatility Projection Cone. The Liquidity Vacuum Pro shows you where the market may react, but only the Volatility Projection Cone validates whether this reaction is within a statistically sound range or whether the risk for your account is currently too high.
Why JBC's Liquidity Vacuum Pro?
JBC's Liquidity Vacuum Pro is a highly professional precision tool designed to visualize the invisible traces of the “big players” in the market. While conventional support and resistance indicators merely connect old price highs, our proprietary algorithm uses a complex analysis of price inefficiencies and volatility vacuums.
Read the market like an open book: The indicator identifies zones where the price has left “holes” in liquidity. These vacuums act like magnets on the price. In internal evaluations, we were able to show that price reactions in these zones are on average 60% more powerful and precise than in classic, manually drawn lines.
The indicator is suitable for all financial instruments, but has been specifically optimized for the algorithmic order flow patterns of the forex market to separate genuine institutional zones from ordinary market noise.
Advantages of JBC's Liquidity Vacuum Pro
Automated detection of liquidity vacuums
The algorithm continuously scans the market for inefficiencies. It automatically marks bullish and bearish vacuums on the chart, so you never have to wonder where the next big orders are.
Smart mitigation logic
Unique to JBC's Liquidity Vacuum Pro is its ability to recognize when a zone is “consumed” (mitigated). Once the price has filled a vacuum by a certain percentage, the zone adjusts or disappears. This prevents you from trading outdated levels that no longer have any power.
Adaptation to any time frame
Whether M1 or Daily, the integrated “Auto Timeframe Settings” function automatically adjusts the sensitivity of the vacuum detection to the selected time unit. You get precise scalping zones on M1 and major institutional turning points on H4.
Future projection for strategic planning
The indicator projects the vacuums into the future (Future Projection) so that you can place your take-profit targets exactly where the market will next need to replenish liquidity.
Who is this indicator suitable for?
● The ambitious beginner: You want to stop entering at random points on the chart and instead trade where the pros have their orders.
● The professional price action trader: You need a tool that calculates supply & demand zones objectively and without human error.
● The forex specialist: You know that the foreign exchange market is driven by liquidity and need a “roadmap” for your daily sessions.
● The institutional trader: For anyone who understands that price always moves from one liquidity pool to the next.
The professional ecosystem (Extensions)
Liquidity Vacuum Pro is your map, but for a safe journey you need the entire JBC system:
1. JBC's Hybrid Trend-Persistent Kalman (HTPK): Use HTPK to determine the trend and Liquidity Vacuum Pro to find the targets (vacuum) within that trend.
2. JBC's Adaptive Stochastic: Timing is everything. Wait for a stochastic signal just as the price enters a “liquidity vacuum.”
3. JBC's Volatility Projection Cone: Use the cone for mathematical risk management at each liquidity zone.
Basic functional concepts
● Inefficiency analysis: Identification of price ranges with low trading volume that must be filled later (Fair Value Gaps (FVG)).
● Dynamic mitigation: Zones are devalued as soon as the price has passed through them sufficiently (threshold logic).
● Visual excellence: Clear boxes with customizable transparency and labels that do not clutter the chart.
● No repainting: Once detected, vacuums are historically correct and serve for seamless analysis.
Indicator Settings
● Use Auto Settings: Activates intelligent time unit adjustment.
● Min Vacuum Size %: Controls how large an inefficiency must be to be considered a vacuum.
● Mitigation Threshold: Determines the percentage of filling at which a zone is considered “done.”
● Box Transparency: Customize the design to perfectly match your template.
RISK NOTICE & DISCLAIMER (IMPORTANT)
No trading recommendation: All data generated by the indicator is for educational purposes only. This is not investment advice. All trading is at your own risk.
Disclaimer: We accept no liability for losses. Losses are normal in trading. Only trade with capital that you can afford to lose entirely.
Not designed as a standalone system: This indicator is an analysis tool and must be combined with a strategy and strict risk management.
CFTC RULE 4.41 – Hypothetical Performance:
Hypothetical results have limitations. Simulated results do not correspond to actual trading. Backtest results are no guarantee of future profits. “Backtest performances don't matter” – Success in liquidity zones requires discipline and experience in the live market.
Gann Master Cycle - Pro Multi-TFThis Pine Script is a specialized tool based on W.D. Gann’s Square of 9 principles. It uses the square root of a starting price (the "Anchor") to project future support, resistance, and time reversal points.
Here is a breakdown of how to interpret and trade using this script.
1. Understanding the Core Levels
The script calculates "Price Degrees" based on the square root of the opening price. In Gann theory, price moves in circles, and specific degrees (90°, 180°) represent major pivot points.
R 180° (Red Line): Major Resistance. A "half-circle" completion. If price reaches this, expect a significant pullback or a breakout retest.
R 90° (Orange Line): Minor Resistance. Often acts as the first target for a move.
S 90° (Lime Line): Minor Support. A common "bounce" zone during a bull move.
S 180° (Green Line): Major Support. If price holds here, it suggests a strong bottom for the session/period.
2. Trading Strategies
A. The Breakout Strategy (Trend Following)
Since the script uses the opening price as the "Zero Point," the first 15–30 minutes of the session are crucial.
Entry: If the price opens and sustains a move above the S 90° level, look for a long entry.
Target: The R 90° or R 180° lines.
Stop Loss: Place your stop just below the previous Gann level (e.g., if buying at R 90°, your stop is at the Anchor/Open price).
B. The Reversal Strategy (Mean Reversion)
Gann levels are often where "exhaustion" happens.
Entry: Look for bearish candlestick patterns (Pin Bars, Engulfing) exactly at the R 180° level.
Confirmation: Ensure the price fails to close above the red line on a 5-minute or 15-minute timeframe.
Target: Back down to the 90° level or the Opening Price.
3. The "Gann Time" Secret (Yellow Vertical Line)
This is the most unique part of your script. It calculates a specific time of day when a trend change is likely to occur based on the price's mathematical "vibration."
How to use it: When the price approaches the Yellow Vertical Line, do not enter a new trade. Instead, look to exit existing trades or prepare for a reversal.
The Logic: If the price has been trending up all morning and hits the Yellow Line, there is a high statistical probability of a trend pause or a reversal at that exact candle.
4. Setting Up for Your Market
To get the most accurate results, you must ensure the inputs match your specific trading environment:
(Grit) Auto 4H Price Range V26Jan29Indicator Name: Auto 4H Price Range (Final Edition)
Description: This is a high-performance grid system indicator anchored to the 4-Hour Candle's Open Price. It automatically generates support and resistance lines at fixed intervals (optimized for Gold) and provides deep statistical insights into price action.
Gann Master Cycle - Pro Multi-TFThis Pine Script is a specialized tool based on W.D. Gann’s Square of 9 principles. It uses the square root of a starting price (the "Anchor") to project future support, resistance, and time reversal points.
Here is a breakdown of how to interpret and trade using this script.
1. Understanding the Core Levels
The script calculates "Price Degrees" based on the square root of the opening price. In Gann theory, price moves in circles, and specific degrees (90°, 180°) represent major pivot points.
R 180° (Red Line): Major Resistance. A "half-circle" completion. If price reaches this, expect a significant pullback or a breakout retest.
R 90° (Orange Line): Minor Resistance. Often acts as the first target for a move.
S 90° (Lime Line): Minor Support. A common "bounce" zone during a bull move.
S 180° (Green Line): Major Support. If price holds here, it suggests a strong bottom for the session/period.
2. Trading Strategies
A. The Breakout Strategy (Trend Following)
Since the script uses the opening price as the "Zero Point," the first 15–30 minutes of the session are crucial.
Entry: If the price opens and sustains a move above the S 90° level, look for a long entry.
Target: The R 90° or R 180° lines.
Stop Loss: Place your stop just below the previous Gann level (e.g., if buying at R 90°, your stop is at the Anchor/Open price).
B. The Reversal Strategy (Mean Reversion)
Gann levels are often where "exhaustion" happens.
Entry: Look for bearish candlestick patterns (Pin Bars, Engulfing) exactly at the R 180° level.
Confirmation: Ensure the price fails to close above the red line on a 5-minute or 15-minute timeframe.
Target: Back down to the 90° level or the Opening Price.
3. The "Gann Time" Secret (Yellow Vertical Line)
This is the most unique part of your script. It calculates a specific time of day when a trend change is likely to occur based on the price's mathematical "vibration."
How to use it: When the price approaches the Yellow Vertical Line, do not enter a new trade. Instead, look to exit existing trades or prepare for a reversal.
The Logic: If the price has been trending up all morning and hits the Yellow Line, there is a high statistical probability of a trend pause or a reversal at that exact candle.
4. Setting Up for Your Market
To get the most accurate results, you must ensure the inputs match your specific trading environment:
15m FVG Alerts with Timezone and time selectorThis indicator will help you detect 15m FVGs on NQ. After setting the alert, you can check the chart to see if the FVG aligns with the Bias. This way, when the price reenters this FVG, we can check the LTF for an IFVG that aligns with the Bias. If you find this FVG interesting, set a manual alert on the FVG again, let the price return, and see if you can initiate a continuation trade towards the clear DOL.
You can also specify a time window for the alerts to arrive.
This indicator is for "NQ1!"
CTI Phase Bullish Bearish NeutralMarket Phase Checker. Checking multiple timeframes for confirmation of direction based on Japanese Candlesticks
Square of Nine Levels [RC] AdvanceSquare of Nine Levels — Geometric Price Level Mapping Tool
Square of Nine Levels is a technical analysis indicator inspired by W.D. Gann’s Square of Nine methodology. The script is designed to automatically calculate and plot geometric price levels around a selected base price, helping traders visualize potential areas of interest on the chart.
The indicator converts price into a rotational mathematical structure and projects multiple concentric levels (cycles) above and below the base price. These levels can be used as reference zones for analyzing possible support, resistance, and price reaction areas.
This tool does not generate buy or sell signals. Instead, it provides a structured framework of price levels that can be combined with other forms of technical analysis.
What the Indicator Does
After setting a base price, the indicator automatically:
Calculates Square of Nine derived price levels
Plots multiple upward and downward price cycles
Displays midpoint levels between cycles
Shows level ratios based on 4-part and 3-part divisions
Optionally shows Fibonacci-based levels (such as 0.382 / 0.618 / 0.786)
Allows customization of the number of cycles and points per cycle
Displays all levels directly on the chart for visual reference
Typical Use-Cases
Traders commonly use these levels for:
Identifying potential support and resistance zones
Studying price interaction with geometric levels
Measuring price expansions from important swing points
Analyzing price behavior using level ratios and Fibonacci projections
Additional Features & Customization
The indicator includes several customization options to adapt the level calculations and visual presentation to different analysis preferences:
Vibration Source
Allows selecting different reference inputs for level calculations, such as base price or alternative internal reference points used by the script.
Color Scheme (VIBGYOR)
Provides multi-color visualization based on the VIBGYOR spectrum (Violet, Indigo, Blue, Green, Yellow, Orange, Red) to visually distinguish different cycles and level groups.
Trend Direction Selection
Enables users to choose whether levels are projected in upward direction, downward direction, or both, depending on the current market context.
Planet Vibrations
Includes optional predefined mathematical vibration ratios inspired by planetary cycles. These are implemented as numerical parameters for level spacing and are intended purely for experimental and analytical use.
Important Notes
This indicator is for technical analysis and educational purposes only.
It does not provide financial advice or guaranteed outcomes.
All levels are mathematical projections and should be interpreted in context with market conditions and risk management.
Summary
Square of Nine Levels offers a systematic way to visualize Gann-style geometric price levels on any market and timeframe. It is intended as a price mapping and analysis tool, helping traders explore market structure through mathematical level relationships.
Force of Multi Strategy Bot: Backtest Webhook Alert Adaptive MTFForce of Multi Strategy (FoMS) - Innovative solution designed for crypto trading 📈
Overview:
An intraday algorithmic trading bot with 29 strategies, up to 10 symbols, and multi-timeframe filters sends pre-configured Webhook Alerts in TTA format to major crypto exchanges and features a live strategy Switcher that selects the best-performing strategy based on real-time backtest data
Key Features:
29 non-repaint strategies on up to 10 symbols
Buy/Sell signals based on TV Technical Rating, as well as classic and adaptive indicators
Higher Timeframe filters (ADX, Volatility, Volume, ATR) with multipliers from chart TF
Advanced risk management and backtest metrics
Automated "Switcher” to pick the best-performing strategies from backtest data in real time
Webhook alerts in TTA format (tradingview to anywhere) pre-configured to major Crypto Exchanges: Binance, Bitget, BingX, Bybit, GateIO, KuCoin and OKX
Main Inputs:
"All Strategies" on/off - trading all strategies on chart symbol or one strategy for 10 symbols
HTF Mult 1/2 - multipliers for 2 higher timeframes filters
InitCap/Trade$/Leverage - position size of one trade and initial capital
Min ROI/WR/PF/SRP/MAR/Trades - minimal cutoff for key strategy performance metrics. When "All Strategies" is "on", the switcher will open trades for strategies which meet these criteria
"Check Last" on/off - check performance metrics for a specified number of recent trades.
If the option is disabled, metrics are checked for the entire duration of the backtest
BacktestDays/MaxBars - set how long the script will perform backtests in days, with a limitation on the number of bars for acceptable calculation speed
How it works:
Only one trade can be opened at a time for each symbol. Strategies or symbols are calculated using their own initial capital settings
FoMS operates in two modes: ‘All Strategies’ on and off. When ‘All Strategies’ is off, it focuses on a single, user-selected strategy for each symbol. If ‘All Strategies’ is on, it's continuously evaluates 29 strategies and uses the Switcher to select the most promising ones
“All Strategies” Off Mode:
When the ‘All Strategies’ option is disabled, the script executes trades and sends alerts based on a single, user-selected strategy for each symbol. The script records backtest results for the selected strategy, allowing you to analyze its performance
In attached example you see how FoMS works on 10 symbols (first ones in alphabetical order with a leverage of 50) with chosen strategy #2 and enabled ATR HTF filter. Summary Profit & Loss for Backtest strategy #2: +$162.20 across 119 trades, with a $10 per-trade margin
This mode ideal when you calibrate risk management options on different symbols, or if you find that one of 29 strategies is profitable on many symbols and want trade with many of them simultaneously. This opens up the possibility of mass diversification, for example, launching trading on 200 symbols with just 20 notifications
“All Strategies” On Mode:
When the ‘All Strategies’ enabled, FoMS continuously evaluates 29 strategies for chart symbol and records backtest results continuously from each of them enabling the switcher to work
In this example, you can see how FoMS operates with all 29 strategies on a single chart symbol, with a summary P&L of +554.7$ from the backtest across 403 trades. Over the last 20 days from the backtest starting point, each strategy executed a different number of trades, from 2 to 41, getting different P&L from -26.1$ to +74.2$. Based on the results obtained, it seems prudent to continue trading only with strategies that have been more successful in the backtest
This is where he comes into play: strategy switcher executes trades and send alerts only from strategies that meet your pre-defined performance criteria, based on backtest results of all strategies. This opens up opportunities, allowing you to not only test the performance of one or many strategies, but also test the logic behind switching them
In attached example switcher use next logic: trades opened only for strategies who reached in test minimal setting ROI >= 0.2, PF >= 1.75 and SRP >= 1. As a result of testing this given logic: profit/loss = $84 , return on investment = 0.33, number of trades in 20 days = 34 .
P&L per trade rises from 1,37$ (all strategies backtest trades) to 2.47$ (switcher work)
Another backtest of logic example, switcher does the same thing but after check 6 last trades for each strategy. This rise ROI from 0.33 to 0.43, P&L rises from 84$ to 98.7$, P&L per trade rises from 2.47$ (check 20 days test) to 3.3$ (check last 6 trades)
Also, switcher has abilities to check strategies and update decisions about their performance with setting time period , for example every 2 days, and additionally it’s can choose for trading only Top ROI Rated Strategies, at say for example it can open trades from only Top 3 of them all
Interface:
Labels: on chart show open long/short and result in USD for closed trades, when "All strategies" is active - labels at bottom of indicator window show which exactly number of strategy opens a deal. The "No" label means that none of the strategies that meet the performance criteria have opened a trade at this time
Lines: indicator window contained equity line (aqua) and HTF Technical rating area, chart contain SL/TP (red/green) and open price (blue) lines for opened trades
Table 1 (all strategies or all symbols):
- TR: count of closed trading deals; WR: Winning Rate; PF: Profit Factor
- MDD: Max Draw Down for all calculated time from initial capital
- R$: trading Profit & Losses Result in USD
First row shows some of script settings, in published example: initial capital 100$, leverage 50L, 20 backtest days, 10$ is invest in one deal, 15m is chart timeframe, 60m is higher timeframe 1 and 120m is higher timeframe 2.
The exchange name in the second row determines the alert messages format
If strategy meet cutoff criteria you will see "Ok" label, if strategy meet criteria and have maximum from other reached ROI they labeled "Best". Chart strategy labeled "Chart", Chart and Ok labels in one time is "Chart+", "Chart" and "Best" is labeled "Best+"
Green or red color of strategy number/symbol means a long or short trade is currently active
Table 2 (chart symbol):
- PT: Result in USD Per one Trade; PW: Result Per Win, PL: Result Per Loss
- ROI: Return On Investment; SR: Sharpe Ratio, MR: CalMAR ratio
- Tx: Commission Fee in $; R$: trading Profit & Losses Result in USD
There separate trade results of backtesting for longs and shorts. In first column you see how many USD were invested in one trade, taking into account possible position splitting
Update frequency: closed trades information updated every bar, but check "ok"/"best" labels in table 1 would be when chart have not open trade. Its need for calculation speed purpose
Risk management options:
When a buy or sell trade is opened, you'll see three lines on the chart: a red stop-loss line ( SL ), a green take-profit line ( TP ), and a blue line representing the entry price . The trade will be closed if the high price or low price reaches the line TP or SL (no wait for bar close) and alert will be triggered once per bar when script recalculates
Several options are available to control the behaviour of SL/TP lines, such as stop-loss by percent, ATR, Highest High (HH) and Lowest Low (LL) . Take Profit can be in percent, ATR, Risk Reward ratio . There some Trailing Stop with start trail trigger options - ATR, % or HH/LL
Available Kelly position sizing option with multiplier to reduce growth
Additionally, implemented a function for adding a position when the breakeven level expressed in the current ROI is reached for opened trade (splitting). The position is added within the bar
Webhook alerts in TTA format with message contained next info : Buy / Sell or adding Quantity, Leverage, SL price, TP price and close trade Result in USD
(for easy forward tests and check difference between actual trade result and alerts logs)
Backtest Engine:
Profit or Loss is USD = close trade price * open trade quantity - open trade price * open trade quantity - open trade quantity * (open trade price + close trade price)/2 * commission
Possible slippage or alert sending delay needed to be include in commission % which you will set in risk management settings block, default settings is 0.15% (0,06% for open, 0,06% for close and 0,03% for possible slippage or additional fees)
Maximum Draw Down Drawdown = (peak - current equity) / peak * 100 ;
Drawdown > maxDrawdown ? maxDrawdown = Drawdown
ROI = profit result in USD / sum of all positions margin
CalMAR Ratio = ROI / (-MaxDrawDown)
Sharpe Ratio = ROI / standard deviation for (Sum of all results) / (Sum of all Position Margins)
Strategies:
Before describing them, I’ll provide extensive statistics on the results of using the listed strategies:
Number 1, 2 and 3: based on Higher Timeframe TradingView Technical Ratings at self. 1 is summary total rating, 2 is oscillators and 3 is moving averages. When TR filter cross user setting filter levels trade will be open at chart bar close. By Default on chart you see Summary Technical Rating oscillator, but here the options for change it to Oscillator TR or Moving Average TR
Number 4, 5 and 6: based on Chart TimeFrame TR. Trades will open when its values (Summary, Oscillators and Moving Averages) reached setting buy/sell level. To seeing plot of Chart TF Technical Ratings you can just set HTF multipliers to 1
Number 7, 8 and 9: is Alternative buy sell logic for Chart TimeFrame TR, trades will open when counting rising or falling setting values will be reached
Number from 10 to 18: based on user-selected adaptive Moving Averages and Oscillators indicators. In settings you will see different types of Adaptive Algorithms, Moving Averages (By default: SMA, RMA, WMA, Hann, JMA) and Oscillators (By default: RSI, LRSI, MomentumRSI, RVI) - more than 30 options in total. The standard adaptive algorithm is unique, developed by the author and based on ADX: it shortens the length of the MA/OSC when the market is defined as trending, and increases it when the market is defined as sideways. Other available adaptive length algorithms options based on identification of Volatility, Market Cycles or Trending and works on a similar principle adjusting the length setting of MA/OSC within market condition. All adaptive strategies have their options for calibrating. You can plot on chart any MA/OSC and its length obtained from adaptive algorithms. Trades are opened when the MA/OSC are crossed user-specified in settings buy/sell levels
Number from 19 to 29: They are calibrated between two options "Fast React" or "Strong Signal" for avoid overfitting. "Fast React" mean trades would be more, indicators will detect buy/sell condition faster. "Strong Signal" buy/sell will identifies slower and open potentially more accurate trades. I tried to found mostly time worked classic strategies within thousands tests, at the time of publication this script uses :
- Swing HH LL ( 19 ): trades open when trend swing is determined by comparing the timing of the latest high vs. low within time window sensitive to Fast or Strong setting;
- Composite indicator ( 20 ): implemented Fast or Strong variations based on normalized and weighted 0.25 * SMA + 0.15 * RSI + 0.25 * MaCD + 0.35 * ROC, buy/sell signals trigger when overbought/oversell (ob/os) levels is crossed;
-%R ( 21,22 ): buy/sell signals occur when fast or strong long term Williams %R and short %R cross centre line or ob/os levels;
- Pivot Point SuperTrend ( 23 ): identifies pivot point centreline with ATR bands, buy/sell signal triggered when fast or strong trend direction is changed;
- Ichimoku ( 24 ): buy/sell when tenkan cross kijun with strong or fast cloud trend confirmation;
- TSI ( 25 ): trades open when fast/strong variations of true strength index crossing ob/os levels;
- Band Level RSI ( 26 ): identifies bands based on fast/strong close price wma and stdev, buy/sell signals triggered when RSI cross ob/os levels with price out of bands;
- RSI/MacD ( 27, 28 ): trades open when macd crossing signal line if RSI was in ob/os condition long time ago or short time ago in a fast or strong variations, and open trades when macd line (fast) or signal line (strong) crossed zero line;
- Bars UpDown( 29 ): trades open when last bars ups or downs in fast or strong variations
- Overbought/oversold levels are sensitive to the “Fast React” or “Strong Signal” settings
Why this mashup: No one single trading strategy works consistently in all conditions. I combine 29 unique strategies to dynamically identify the best-performing ones at any given time
You can enable or disable various Higher Timeframes Filters (ADX, Volume, Volatility, Tech rating). If enabled, trades will only open when the filter setting are reached for one of two HTF
And after this describe i will show you another great statistics:
In showed tables you see backtest results for all strategies on 100 random crypto coins. Uses default script settings: InitCap 20$, One trade 3$, L50, commission 0.15%, 15m chart TF and two HTF 60m and 120m, ATR 2.5 SL and ATR trailing with trigger at 7 ATRs by open price
What in this stats: First test was without any HTF filtering, second table show result for same strategies and coins, but with enabled ADX Filter. As you can see Filter reduce Losses radically
Without filtration just 24 crypto coins averages from 100 was profitable, with ADX filtration this number rises to 32 from 100 , note that after filter best performed become another strategies. Bear in mind, all filters or risk management options will affect their backtest performance
For clarity: classic indicators are not plotted on chart in this script to avoid overloading the interface. You can easily understand what exactly do listed upper strategies by the “Long” and “Short” labels on the chart and the trades counted in the tables. While you can collect the massive statistics by yourself as shown upper, it is not part of this script
Originality and Value:
Diverse: fully customizable rules for the first 18 strategies, as well as a choice of "fast" or "strong" signals for the remaining 11, allow you to build a suite with different trading frequency
Risk Control and Backtest: dynamic SL/TP and position sizing with immediate test performance of many assets/strategies in one framework help optimize the risk-reward profile
Automated Strategy Switching: author developed unique feature allows to pick on the best-performing strategies in real-time and can backtest the logic behind switching them.
It designed to finding profitable habits in market behaviours and to cut out unprofitable ones
This combination, along with the developer’s extensive research and testing, sets the “Force of Multi Strategy” apart from many other trading solutions available on the market
Another usage example:
Tips that I found through tests: Last 4 trades say more about the next one #5 than 10 do about #11. You can use many instances of FoMS on one symbol. An attached example demonstrates how 4 instances of FoMS work with different filter settings (No Filters, ADX, ATR, TV.TR)
All instances have the same settings : Symbol: PEPE, Chart TF 15m, HTF Mult 4/8, InitCap $100, One trade $10/50 Leverage. Strategies switch based on the same logic : choosing a strategy that achieved an ROI ≥ 0.4 and a win rate ≥ 50% over the last 4 trades. As you can see: the TV.TR filter opened 24 trades with best P&L 118.9$. The ATR filter (no trade if ATR 5 / ATR 20 < 1.2) performed best 1.37 ROI, achieving a P&L 95.9$ with 9 trades in 20 days of backtest
Now you can choose the preferred option and create a new alert with the Webhook address provided by TTA. That’s all. The next signal from the strategy that meets the set ROI and WR criteria from the last 4 trades with the HTF filter will be executed by the script and sent to the Webhook address to open a position on the exchange
Keep in mind , script open a market orders and alerts have slight delay, some negative or positive difference (usually 3-10%, L50) in close trade result between alert and actual trade results is possible, alert message example: Close 1000PEPEUSDT C=LINEAR +2.27$ Buy 1000PEPEUSDT Q=13276.2944 SL=0.006545 TP=0.010168 L=50 D=2 C=LINEAR St:21
Might be important , this script generates alerts for market orders that are then executed on pre-configured crypto exchanges via the TTA service, along with native SL/TP orders
Finally:
There is no universal instruction or ‘how to’ for profitability in all markets at any time. However, I will continue researching and will share more tips in the future. I believe that FoMS’s capabilities can revolutionize your understanding of intraday trading
Invite-only status safeguards the author’s unique multi-strategy framework, unavailable in public scripts, ensuring users access tailored tools without imitation risks.
To get access please see the Author's instructions!
Wishing you successful trades! Stay tuned for updates
DISCLAIMER: No sharing, copying, reselling, modifying, or any other forms of use are authorized for this script, and the information published with them. This script is strictly for individual use. No one knows the future and Investments are always made at your own risk. I am not responsible for any losses you may incur. Before investment make sure that your logic is profitable on demo account
