Investopia Signal: US Stock Trend FollowerInvestopia Signal is a comprehensive trend-following strategy designed specifically for US Stocks and Cryptocurrencies. It aims to reduce noise in volatile markets and help traders identify high-probability entry points.
볼래틸리티
(5M) REG SuperTrend Pullback SystemThis indicator implements a rule-based SuperTrend pullback system
designed for short-term trend continuation.
Core features:
• Regression-based SuperTrend with flip detection
• Pullback + reclaim entry logic (non-repainting, bar-close confirmed)
• Regime filter (Trend vs Range suppression)
• Exhaustion detection to avoid late entries
• ADX + EMA bias alignment
• USDT Dominance risk filter (risk-on / risk-off)
• Clear BUY / SELL and Pullback AI-style entry labels
This is NOT a trading bot and does NOT place orders.
All signals are for analytical and educational purposes only.
SuperTrend Strategy V4 [Filtered & Directional]
Strategy Type: Trend-Following / Breakout
Core Indicator: SuperTrend (ATR-based trailing stop)
Risk Profile: Variable (User-defined Risk per Trade)
Filtering: ADX, CHOP
1. Executive Summary
This strategy is an advanced trend-following system designed to capture significant market moves while rigorously filtering out "noise" and consolidation phases. Built on the classic SuperTrend indicator, V4 introduces a modular "Regime Filter" suite (ADX, Choppiness Index) to solve the common problem of "whipsaw" losses during sideways markets. It features dynamic position sizing based on account risk and allows for full directional control (Long-only, Short-only, or Bi-directional).
2. Core Logic (The Engine)
The primary signal generation relies on the SuperTrend indicator, which serves two purposes:
- Trend Definition: Determining the market direction (Bullish/Bearish).
- Trailing Stop Loss: Providing a dynamic exit point that moves with the price.
- Entry Signal: A trade is triggered when the price closes on the opposite side of the SuperTrend line (flipping the trend direction), provided that all enabled filters give permission.
Important Note: ATR Length and Factor are key parameters of the strategy; to get positive backtesting results, those should be aligned individually for each specific asset and timeframe.
3. The "Anti-Whipsaw" Filter Suite
To prevent overtrading in ranging markets, the strategy employs three selectable filters. These act as "logic gates" if any enabled filter says "No," the trade is skipped.
A. Choppiness Index (The Noise Filter):
- Purpose: Detects lack of trend.
- Logic: If the "Chop" value exceeds the threshold, the market is considered too chaotic. The strategy waits for the index to drop, indicating a return to directional movement.
- Default settings (recommended):
- Chop Length: 14
- Max Chop Threshold: 55
B. ADX (The Strength Filter):
- Purpose: Measures the strength of the current trend.
- Logic: Only permits entry if the Average Directional Index (ADX) is above a set threshold, ensuring momentum is present.
- Default settings (recommended):
- DI Length: 14
- ADX Smoothing Length: 5
- Min ADX Threshold: 15
4. Risk Management & Position Sizing*
Instead of fixed lot sizes, this strategy uses Volatility-Adjusted Sizing:
- Risk Per Trade: The user defines a fixed dollar amount to risk according to initial capital.
- Calculation: The script calculates the distance between the Entry Price and the SuperTrend (Stop Loss). It then mathematically determines the exact position size so that if the Stop Loss is hit, the loss equals the defined risk amount.
- Safety: Includes a failsafe for zero-division errors during extreme volatility (e.g., crypto flash crashes).
5. Directional Bias Control
Recognizing that different assets have different biases (e.g., Crypto is often long-biased; Forex pairs can be mean-reverting), V4 allows the user to toggle:
- Enable Longs: Toggle ON/OFF.
- Enable Shorts: Toggle ON/OFF.
Note: Disabling a direction prevents new entries but allows existing positions to close naturally to preserve capital.
6. Visual Aids
- Trend Lines: Green/Red SuperTrend line indicates active trailing stop.
- Regime Highlighting: The chart background turns Gray when the market is in a "No Trade Zone" (failed filter checks), allowing for instant visual backtesting of the filters' effectiveness.
Institutional Confluence Nexus [Pro]The Problem: Noise vs. Signal
In the world of Smart Money Concepts (SMC), traders are often overwhelmed by "chart clutter." Standard indicators blindly highlight every Fair Value Gap (FVG) and Order Block (OB), regardless of whether the market is trending, ranging, or dead. This leads to analysis paralysis and low-probability entries.
The Institutional Confluence Nexus was built to solve this. It is not just a structure detector; it is a filtering engine. It uses a multi-factor model to hide low-probability zones and only highlight setups where Structure, Volume, and Momentum align.
The "Quantum" Integration
This script includes a built-in Quantum Regression Oscillator (QRO) engine running in the background. Unlike standard RSI or MACD which are reactive (lagging), the QRO uses Linear Regression mathematics to project momentum trajectory.
By combining institutional structure (Price Action) with quantum momentum (Math), this tool generates specific high-probability signals that only appear when price action and momentum are in perfect agreement.
How It Works & Visual Guide
This indicator is a complete trading suite. Here is what every symbol and color on your chart represents:
1. The "Nexus" Reversal Signals (Triangles)
Symbol : Green Triangle (Up) / Red Triangle (Down) labeled NEXUS.
Logic : These appear when price taps a valid Order Block that aligns with the macro trend (200 EMA).
Meaning : These are your primary "Trend Join" setups. They indicate that the institutional trend is resuming after a retracement.
2. High-Volume Breakouts (Bar Colors)
Symbol : Yellow Candles (Bullish) / Orange Candles (Bearish).
Logic : The script detects when a Break of Structure (BOS) occurs with Above-Average Volume.
Meaning : A breakout without volume is often a fakeout. These colored bars confirm that institutions are fueling the move. If you see a Yellow bar, it means "Smart Money" is buying the breakout.
3. QRO Confluence Signals (Labels)
These are the most advanced signals in the suite, combining Price Action with the internal Oscillator:
SNIPER (Blue/Purple) : The strongest reversal signal.
Condition : Price taps a Fair Value Gap + The internal QRO is at extreme volatility bands (Oversold/Overbought).
PB BUY / PB SELL (Aqua/Orange) : A trend continuation signal.
Condition : Price pulls back into a Fair Value Gap + The internal QRO confirms momentum is still healthy (above/below midline).
Note : These signals automatically draw a Red Line at the invalidation point (Stop Loss) to help you manage risk immediately.
4. The Confluence Dashboard
A non-intrusive Heads-Up Display (HUD) in the corner gives you a snapshot of the market state:
Trend : Is price above/below the 200 EMA?
Volume : Is current volume anomalous (High) or normal?
Structure : Are we breaking up, down, or ranging?
Settings & Customization
Smart Money Structure: Toggle FVGs and Order Blocks on/off.
FVG Extend: Control how far the gap "zones" extend to the right to see them as support/resistance zones.
Volume Filter: Enable/Disable the volume requirement (Keep enabled for higher strike rate).
Risk Management: Adjust the "Lookback" period for the automatic Stop Loss lines.
For Developers (Open Source)
I have kept the code open-source to foster learning in the Pine Script community. You can study how:
ta.linreg is used to smooth RSI data for the internal QRO engine.
box.new and line.new are used for dynamic drawing and extending zones.
var variables are used to store historical FVG levels to detect precise crossovers.
Disclaimer:
This tool is designed to assist with technical analysis and educational purposes. It does not guarantee profits. Always manage your risk and use this in conjunction with your own analysis.
Sri - 26 Volume Bar: D/W/M with SMA 20📊 Sri – 26 Volume Bar (D / W / M)
Enhanced Volume Visibility with Buy–Sell Range & MA
Sri – 26 Volume Bar is a visual-first, multi-timeframe volume analysis tool created to solve a common TradingView limitation:
Traditional volume (including free built-in volume) becomes visually compressed, unreadable, or unusable when combined with other indicators or panels.
This script reconstructs and re-displays volume in a clean, scalable, and directional format, making volume clearly visible even in indicator-heavy layouts.
🔹 Why this indicator exists (Problem → Solution)
❌ Problem with traditional volume
Built-in volume bars:
Become too small when multiple indicators are applied
Lose relative clarity across timeframes
Do not show buy vs sell participation
Are hard to interpret when scaling is shared with other plots
✅ Solution provided by this script
Volume is redrawn independently using object-based rendering
Bars are scaled relative to recent volume, not chart height
Display is forward-projected, avoiding overlap with price or indicators
Buy and Sell volume ranges are visually separated
Result: Clear, readable volume analysis even in complex chart setups
🔹 Core Features & Originality
1️⃣ Multi-Timeframe Volume Reconstruction (D / W / M)
Volume is fetched from Daily, Weekly, or Monthly timeframes using request.security()
Timeframe selection:
Auto – adapts to chart timeframe
Manual – fixed D / W / M
Enables higher-timeframe volume insight on any chart
2️⃣ Buy–Sell Volume Range Visualization
Each volume bar is split into Buy and Sell ranges
Calculated using candle anatomy:
Buy volume → (Close − Low)
Sell volume → (High − Close)
Helps identify:
Accumulation vs distribution
Demand vs supply imbalance
Participation strength within each bar
This goes beyond standard volume by showing where volume occurred, not just how much.
3️⃣ Enhanced Visibility vs Free Traditional Volume
Volume bars:
Maintain consistent height and clarity
Are independent of other indicators
Remain readable even when many scripts are active
Ideal for traders who:
Use multiple indicators
Trade from clean layouts
Rely on volume confirmation but dislike clutter
4️⃣ Volume Moving Average (Optional Confirmation)
SMA or EMA applied to higher-timeframe volume
Helps identify:
Volume expansion
Volume contraction
Breakout or exhaustion conditions
🔹 How to use this indicator
Best use cases:
Confirm breakouts using higher-TF volume strength
Spot accumulation before price expansion
Detect weak moves with low participation
Improve volume readability on crowded charts
Suggested setup:
Intraday charts → Auto (Daily volume)
Swing trading → Weekly volume
Positional analysis → Monthly volume
⚠️ Important Notes
This is not a buy/sell signal indicator
Buy/Sell volume is an estimated range, intended for comparative analysis
Designed as a confirmation and context tool, not a standalone system
🔒 Why the source is protected
This script uses:
Custom multi-TF array handling
Object-based volume rendering
Dynamic scaling independent of chart compression
Forward-projection logic for clean visualization
While the concept and usage are fully explained, the implementation is protected to preserve originality.
✅ Summary
Sri – 26 Volume Bar transforms traditional volume into a clear, scalable, directional tool, solving the visibility limitations of standard volume — especially when multiple indicators are used.
Combined Indicators V2 by DeepsageCombined Indicators V2 – Overview
Combined Indicators V2 is an advanced trading indicator that builds on Combined Indicators V1 by Deepsage and Weighted Market Screener by Deepsage. It is designed to provide precise signals for long and short trades on very low timeframes (1m–5m) while aligning entries with the overall market trend.
Background: The Original Indicators
1. Combined Indicators V1 (Deepsage)
Combines three specialized indicators to generate signals:
Breakout Indicator: Uses Bollinger Bands and volume behavior to identify potential breakout trades.
Price Action Indicator: Detects price interaction with support and resistance levels, incorporating trend, volatility, and candlestick patterns.
Range Trading Indicator: Calculates RSI or Stochastic oscillator and plots signals against predefined upper and lower bands for range-bound markets.
2. Weighted Market Screener (Deepsage)
Monitors the overall market trend using 12 different indicators, each weighted based on its relevance.
Produces a market trend rating: strong buy, buy, neutral, sell, or strong sell.
What’s New in V2
1. Trend-Aligned Entries
In V2, the entry indicators (Breakout, Price Action, Range Trading) only generate signals when the Market Screener confirms the trend (can be turned off).
Long trades: Screener must rate the market as Buy or Strong Buy.
Short trades: Screener must rate the market as Sell or Strong Sell.
2. Session-Based Optimization
V2 supports the NY, London, and Tokyo trading sessions.
Each indicator can be restricted to the session where it performs best (can be turned off):
NY: Breakout Indicator
London: Price Action Indicator
Asia: Range Trading Indicator
3. Additional Enhancements
Market Screener locked to 15-minute timeframe, giving a clear view of the overall trend while entries are still executed on 1-minute charts.
Fully customizable alerts for buy and sell signals.
Settings allow traders to toggle indicators and alerts on/off for maximum flexibility.
Summary
Combined Indicators V2 is a powerful, session-aware, trend-aligned trading tool that merges multiple strategies into one cohesive system. It allows traders to:
Trade low timeframes with precise entries
Only take trades that align with the overall market trend
Optimize strategies based on trading sessions
Customize alerts and indicator settings for personal preferences
SIV Trading LightSmartInVisions Trading Light (SIV Trading Light)
**Multi-Factor Market Regime & Trade Bias Indicator**
---
## Overview and Purpose
**SmartInVisions Trading Light (SIV Trading Light)** is a market **context and trade-bias indicator**, not a signal generator.
Its purpose is to answer one practical trading question:
> *“Given the current market conditions, is it statistically more favorable to think LONG, SHORT, or stay neutral?”*
Instead of relying on a single indicator, SIV Trading Light **combines several independent market dimensions into one coherent score**.
This allows traders to avoid over-trading in unfavorable environments and to align trades with the dominant market context.
---
## Why This Is NOT a Simple Indicator Mashup
This script does **not** simply merge popular indicators.
Each component is:
* normalized,
* weighted,
* evaluated against thresholds,
* and translated into **positive, neutral, or negative score contributions**.
Only the **combined interaction** of these components produces the final trade bias.
No single indicator can dominate the result on its own.
---
## Core Calculation Concept
At every bar, the indicator evaluates multiple independent factors.
Each factor contributes points to a **total bias score**.
The score is then classified into one of three states:
* **LONG bias**
* **NEUTRAL**
* **SHORT bias**
The indicator does **not** predict price direction.
It classifies the **current trading environment**.
---
## Components and How They Work Together
### 1. Trend Structure (Moving Averages)
**Purpose:** Identify the dominant directional structure.
* Fast MA vs Slow MA relationship
* Price position relative to the slow MA
* Optional slope confirmation
Contribution:
* Positive points in aligned uptrends
* Negative points in aligned downtrends
* Neutral in mixed or unclear structures
---
### 2. Momentum (RSI)
**Purpose:** Measure directional strength.
* RSI above upper threshold → bullish momentum
* RSI below lower threshold → bearish momentum
* Mid-range RSI → neutral
Momentum refines trend signals by confirming or weakening them.
---
### 3. Trend Quality / Choppiness (ADX)
**Purpose:** Filter out sideways or noisy markets.
* ADX above threshold → trending environment
* ADX below threshold → choppy environment
ADX does **not** define direction.
It modifies how much weight trend and momentum signals receive.
---
### 4. Volatility Risk (ATR%)
**Purpose:** Penalize structurally dangerous environments.
ATR is normalized as a percentage of price:
* Excessively high volatility → risk penalty
* Extremely low volatility → participation penalty
* Balanced volatility → neutral or positive contribution
This prevents aggressive trading in unstable regimes.
---
### 5. Market Participation (Relative Volume)
**Purpose:** Confirm whether moves are supported by volume.
* High relative volume → confirmation
* Low volume → weaker confidence
Volume acts as a confidence modifier, not as a directional signal.
---
### 6. Higher-Timeframe Market Regime (Optional)
**Purpose:** Align trades with the dominant higher-timeframe context.
On a user-defined **regime timeframe**, the script evaluates:
* trend structure
* RSI momentum
The regime filter can:
* amplify signals aligned with the higher timeframe
* suppress signals against it
This avoids trading aggressively against dominant market structure.
---
## Multi-Timeframe Design
The indicator separates two concepts:
* **Trading Timeframe**: the chart timeframe used for execution
* **Regime Timeframe**: a higher timeframe used for contextual bias
This design allows the same logic to be applied to:
* day trading
* swing trading
* longer-term investing
---
## Presets and Customization
Built-in presets are provided for:
* Day Trading (USA / Europe)
* Swing Trading (USA / Europe)
* Investing (USA / Europe)
Presets define:
* factor weights
* thresholds
* score boundaries
They do **not** define:
* timeframes
* moving average types or lengths
This keeps structural decisions under user control while simplifying parameter tuning.
A **Custom mode** allows full manual configuration.
---
## Visual Output
The indicator provides:
* two moving average overlays (fast / slow)
* an optional background color reflecting the current bias
* a compact badge summarizing mode, score, and state
* an optional breakdown table showing how each factor contributes to the score
These visuals are designed to explain **why** the current bias exists.
---
## Alerts
Alerts are based on **state changes**, not on every bar.
Alert outputs include:
* numerical state (`1 = LONG, 0 = NEUTRAL, -1 = SHORT`)
* score value
* rounded moving average values
This allows integration into discretionary or systematic workflows without alert noise.
---
## How This Indicator Should Be Used
✔ As a **trade filter**
✔ To avoid trading in unfavorable conditions
✔ To align discretionary entries with market context
---
## What This Indicator Is NOT
✘ Not a buy/sell signal
✘ Not a prediction model
✘ Not a replacement for risk management
---
## Credits and License
**Publisher:** SmartInVisions GmbH
**Concept & Design:** Reiner Ernst
**Implementation & Iterative Development:** SmartInVisions GmbH + ChatGPT (OpenAI)
**License:** Mozilla Public License 2.0 (MPL-2.0)
---
## Disclaimer
This script is provided for educational and research purposes only.
It does not constitute financial advice. Trading involves risk.
---
M1 propath📊 M1 PROPATH – Smart Trend & Level Indicator
M1 PROPATH is a powerful all-in-one trading indicator designed for trend identification, momentum confirmation, and precise entry zones. It combines four proven tools into a single, easy-to-use system.
🔹 Included Components
🔁 Supertrend
Identifies overall market trend (Bullish / Bearish)
Helps traders stay on the right side of the market
Useful for trend-following and trailing stop logic
📈 Bollinger Bands (BB)
Measures volatility and price expansion
Highlights overbought and oversold zones
Helps in spotting pullbacks and breakout setups
📉 EMA Pack (Exponential Moving Averages)
Shows dynamic support and resistance
Confirms trend strength and momentum
Useful for scalping, intraday, and swing trading
🧭 Gann Levels (Square of 9 Based)
Displays important price levels derived from Gann theory
Helps identify high-probability reversal and reaction zones
Works perfectly with BB and Supertrend for confluence-based entries
Squeeze Indicator Squeeze Indicator is a volatility-focused indicator designed to identify periods of compression and the early transition into expansion.
It measures Bollinger Band Width (BBW) using a 20-period Bollinger Band to quantify how tightly price is coiling, then smooths BBW with a 16-period SMA and a faster 8-period EMA to distinguish structural compression from short-term changes in volatility.
The BBW itself is displayed as a subtle grey filled area to emphasize relative contraction and expansion, while a squeeze condition is highlighted whenever BBW falls below both its SMA and EMA, signaling an environment where volatility is suppressed and a directional move is more likely to follow.
Crossovers of the EMA above or below the SMA provide early warnings of volatility expansion or renewed compression, making the indicator especially useful for timing breakouts, anticipating regime shifts from range to trend, and managing options strategies that depend on changes in volatility rather than price direction.
Session VWAP Cumulative BiasThe Session VWAP Cumulative Bias indicator is designed to differentiate between "choppy" price action and true "institutional" trend days. Unlike standard VWAP indicators that only show where price is now, this tool tracks the cumulative sentiment of the entire session.
Core Functions:
Cumulative Z-Score Logic: It calculates the distance between price and VWAP (in Standard Deviations) and sums it up over the course of the day. This reveals the "weight" of the market bias—the longer price stays pinned away from the VWAP, the more extreme the histogram becomes.
Scale Protection: It includes a "Capping" mechanism that prevents morning gaps or low-volume outliers from distorting the scale, ensuring the histogram remains readable from open to close.
Momentum vs. Regime Toggles: Users can switch between VWAP Slope (measuring the speed of the average's movement) and Cumulative Bias (measuring total session dominance).
Visual price Overlay: It automatically colors the price candles and plots a session-anchored VWAP line on the main chart, providing a clear visual of when price is "fair" versus "overextended."
How to read it:
Trend Confirmation: A steadily growing "mountain" in the histogram confirms an institutional trend day where dips are being bought (or rips sold).
Mean Reversion: When price hits a new high but the Cumulative Histogram begins to round off or diverge, it signals that the "elastic band" is stretched and price is likely to return to the orange VWAP line.
Regime Shifts: A cross of the zero-line on the histogram indicates a total shift in session control from buyers to sellers (or vice versa).
TCT - Range BreakTCT - Range Break
Capture morning range breakouts with precision.
TCT - Range Break automatically tracks the high and low of a configurable time window and signals when price breaks out—giving you clear, actionable entries for directional moves.
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✨ FEATURES
🎯 Automated Range Detection
Captures session high/low during any user-defined window (default: 6–10 AM ET)
Fully customizable start, end, and box display times
All times in Eastern Time (auto-adjusts for DST)
📦 Color-Coded Breakout Boxes
🟢 Green — Price broke above range high (bullish)
🔴 Red — Price broke below range low (bearish)
🟡 Yellow — Both levels broken (indecisive/choppy)
⚪ Gray — No breakout (range-bound)
🐂🐻 Instant Breakout Labels
Bull/Bear emoji appears the exact moment price breaks the range
Customizable emoji and size options
📈 Built-in Statistics Dashboard
Real-time stats showing historical breakout patterns
Tracks total sessions, breakout counts, and percentage distribution
Validate your edge with hard data
🔔 Alert-Ready
Pre-configured alerts for bullish and bearish breakouts
Never miss a trade—get notified instantly
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🎮 HOW IT WORKS
Three key times define the indicator:
Range Start (default 6 AM ET) — Begin tracking session high/low
Range End (default 10 AM ET) — Lock in the range, start monitoring for breakouts
Box End (default 4 PM ET) — Stop drawing the visual box
The indicator draws two nested boxes:
Overall Box (lighter) — Full monitoring window from Range Start to Box End
Monitored Range Box (darker) — The specific window where high/low was established
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📊 STATISTICS TABLE
The dashboard shows you:
Only High (Green) — Clean bullish breakouts
Only Low (Red) — Clean bearish breakouts
Both Broken (Yellow) — Choppy, reversal-prone sessions
Neither (Gray) — Range-bound, low volatility days
One Side Only — Total clean directional moves (Green + Red)
Use this data to understand market behavior and validate your strategy.
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🛠️ CUSTOMIZATION
Adjustable time windows for any market or session
Custom colors for all breakout states
Transparency controls for chart readability
Border styles (Solid, Dashed, Dotted)
Emoji customization (type and size)
Toggle statistics table on/off
Flexible table positioning
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📈 BEST FOR
US Index Futures (ES, NQ, YM, RTY) — Default settings optimized
Forex — Adjust for London/NY session opens
Stocks & ETFs — Track opening range breakouts
Crypto — Set custom windows for your preferred sessions
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⚠️ REQUIREMENTS
Timeframe: Works on any timeframe below 1 hour (1m, 5m, 15m, 30m, 45m)
A warning will display if applied to 1H or higher
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💡 TRADING TIPS
High "One Side Only" % → Market picks a direction—ideal for breakout trades
High "Both Broken" % → Expect fakeouts—wait for confirmation or fade extremes
High "Neither" % → Low volatility—consider range strategies instead
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🔔 SETTING UP ALERTS
Click the indicator name in chart legend
Select "Add Alert on TCT - Range Break"
Choose Range Bullish Break or Range Bearish Break
Configure notifications (popup, email, webhook)
Click Create
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Built with ❤️ by The Coding Trader
Chello Pro V1 ASSAF ALGOSChello pro is all you need for scalping day trading or swing it works perfectly in all markets
It contains a special moving average for trend direction
A signals depends on crossing the high or low of the sma or the ema
A sniper bands to insure the market momentum
A market structure add for more confluence
For LONG :
Price above the MA a buy signal active a bullish choch or bos signal active the price in green band
For SHORT :
Price below the MA a SELL signal active a bearish choch or bos signal active the price in red band
Note:
Keep the sma length at 9 for fast signals and 50 for slower one
change the sniper multiplier according to your strategy
Avoid choppy markets
Its better to use stop or trigger orders above or below entry candle
Add a good order blocks indicator for better results
Chello Pro هو كل ما تحتاجه للمضاربة السريعة، أو التداول اليومي، أو التداول المتأرجح، فهو يعمل بكفاءة عالية في جميع الأسواق.
يحتوي على متوسط متحرك خاص لتحديد اتجاه الترند. تعتمد الإشارات على تجاوز أعلى أو أدنى مستوى للمتوسط المتحرك البسيط (SMA) أو المتوسط المتحرك الأسي (EMA). أضف بنية السوق لمزيد من الترابط.
للشراء:
السعر أعلى من المتوسط المتحرك: إشارة شراء فعّالة، وإشارة تذبذب صعودي (BOS) فعّالة.
للبيع:
السعر أقل من المتوسط المتحرك: إشارة بيع فعّالة، وإشارة تذبذب هبوطي (BOS) فعّالة.
ملاحظة:
اضبط طول المتوسط المتحرك البسيط (SMA) على 9 للحصول على إشارات سريعة، و50 للحصول على إشارات أبطأ.
تجنب الأسواق المتقلبة.
أضف مؤشرًا جيدًا لكتل الأوامر لتحقيق نتائج أفضل
6PM NY Session Extremes + Open (Last 20 Days)From 18:00-18:00
High of Day Time
Low of Day Time
Points
Volatility Term Structure IndexVolatility Term Structure Index
The Volatility Term Structure Index represents a systematic approach to measuring market stress and complacency through the analysis of volatility derivatives and their term structure relationships. This indicator draws conceptual inspiration from academic research on volatility forecasting and the informational content embedded in options markets.
The theoretical foundation rests on decades of research documenting the relationship between implied volatility patterns and subsequent market returns. Black (1976) first documented the inverse relationship between equity returns and volatility changes, establishing a fundamental principle in financial economics. Whaley (2000) demonstrated how volatility indices reflect aggregate market fear and uncertainty, with systematic patterns preceding major market dislocations. Engle (2004) provided foundational work on volatility modeling that underpins modern risk measurement approaches.
Unlike momentum strategies that follow price trends or contrarian approaches that bet against prevailing sentiment, this indicator operates on regime-identification principles. The relationship between short-term and long-term implied volatility reveals market expectations about risk evolution. When markets expect calm conditions to persist, the volatility term structure typically exhibits an upward slope. When stress emerges, this relationship inverts as near-term uncertainty exceeds longer-term expectations. This structural information reflects the aggregate positioning of sophisticated derivatives market participants.
Methodology and calculation framework
The methodology incorporates statistical normalization techniques that transform raw volatility data into comparable standardized scores. Each component factor undergoes robust z-score calculation using median absolute deviation to reduce sensitivity to outliers, a technique that proves particularly valuable during market stress when traditional standard deviation measures become unreliable. These normalized components aggregate using a weighting scheme informed by historical predictive power and correlation characteristics.
The indicator produces values on a scale from zero to one hundred, where higher readings indicate calm market conditions and lower readings signal elevated stress. Readings above seventy suggest complacent environments where equity markets typically perform well. The zone between forty and seventy represents mixed conditions without strong directional bias. Readings below forty indicate meaningful stress, with values below twenty signaling crisis-level conditions.
Internal quality mechanisms enhance signal reliability by requiring confirmation across multiple underlying factors before generating actionable signals. This reduces the probability of acting on isolated or unreliable readings and improves overall signal consistency.
Professional application and portfolio integration
Professional portfolio managers recognize the value of volatility regime indicators for risk management and tactical allocation. The fundamental insight is empirically robust: periods of low and stable volatility create supportive environments for equities, while regime transitions and elevated uncertainty warrant caution. Bollerslev, Tauchen and Zhou (2009) found that variance risk premium significantly predicts equity market returns, with volatility conditions leading price performance.
For institutional investors, the index serves as one input in risk management frameworks. Asset managers might use deteriorating readings to trigger portfolio review processes, stress testing exercises, or tactical allocation adjustments. The indicator proves valuable when it diverges from consensus narratives, as volatility markets often recognize fundamental shifts before they appear in prices. Systematic investors can incorporate the index as a conditioning variable for position sizing.
This integration finds support in the concept that derivatives markets often lead equity markets. Options market participants including market makers and institutional hedgers frequently possess informational advantages regarding expected market movements and tail risk.
Practical implementation for individual investors
When the index rises into the favorable zone above seventy with confirmed signal quality, volatility conditions support equity exposure. When the index falls below forty, reducing allocations, increasing cash reserves, or implementing protective strategies becomes appropriate. The zone between these thresholds suggests mixed conditions where other analytical frameworks should take precedence.
Individual investors can treat readings as alerts warranting portfolio examination. A favorable reading might prompt consideration of whether current equity exposure aligns with targets. A stress reading could trigger review of risk reduction measures. The indicator should inform rather than dictate decisions, serving as one perspective within a broader analytical framework.
Fundamental investors can use volatility readings to assess whether the risk environment supports their positioning. Technical analysts may find that volatility conditions help contextualize price patterns. Quantitative investors might incorporate volatility factors into multi-factor models.
Trading behavior and strategy characteristics
The index employs a regime-based methodology identifying periods when market conditions favor risk exposure versus caution. The trading logic accumulates positions when volatility conditions indicate calm environments and reduces exposure when conditions deteriorate. This approach positions with prevailing volatility market signals, recognizing that volatility regimes exhibit meaningful persistence.
The indicator may signal favorable conditions while price fluctuations continue. This reflects underlying volatility metrics remaining supportive despite surface-level movements. The strategy maintains exposure during favorable volatility conditions even when prices experience temporary weakness, and advocates caution during volatility deterioration even when prices appear stable. Success requires trust in the underlying signals and acceptance that price action and volatility conditions may temporarily diverge.
Suitability and implementation requirements
The index aligns with investors possessing specific characteristics. A medium to long term horizon proves essential as volatility regimes operate over weeks to months. A risk management orientation that prioritizes avoiding large drawdowns suits the defensive nature during stress periods. Comfort with systematic decision making helps maintain discipline when signals conflict with market consensus.
The indicator proves less suitable for day traders, investors requiring constant market exposure, and those unable to tolerate periods when the indicator conflicts with price trends. Institutional investors with strict benchmark tracking requirements may find the strategy incompatible with their mandates.
For appropriate investors, the index offers a systematic framework for monitoring market conditions. By providing an objective assessment of volatility regime health, it helps recognize environment shifts and consider positioning adjustments. The strategy demands patience and discipline but rewards those characteristics with potential for improved risk-adjusted returns through drawdown reduction during stress periods.
References
Ang, A. and Chen, J. (2002) Asymmetric correlations of equity portfolios. Journal of Financial Economics, 63(3).
Black, F. (1976) Studies of stock price volatility changes. Proceedings of the 1976 Meetings of the American Statistical Association, Business and Economics Statistics Section.
Bollerslev, T., Tauchen, G. and Zhou, H. (2009) Expected stock returns and variance risk premia. The Review of Financial Studies, 22(11).
Engle, R. (2004) Risk and volatility: Econometric models and financial practice. American Economic Review, 94(3).
Whaley, R.E. (2000) The investor fear gauge. The Journal of Portfolio Management, 26(3).
유료 스크립트
Absorption Pro V4This indicator detects absorption-style reversal setups and scores them with a multi-factor model.
It builds key levels from ZigZag/Fibonacci and round numbers across multiple timeframes, then flags potential absorption candles using volume and a delta-proxy filter plus strict candle-structure rules. Signals are validated with trend context (MA/SMMA/EMA/ATR), VWAP positioning, and optional momentum/volatility filters (RSI, Stoch, CCI, MACD, ADX, Volume Profile). Only score-threshold crosses can trigger long/short markers and alerts (defaults tuned for NQ).
Volume Variance SuppressionVolume Variance Suppression Indicator
This indicator measures the variance of traded volume over a rolling window to detect periods of participation compression.
When volume variance falls below a defined threshold, it signals:
Reduced initiative order flow
Dominance of passive liquidity
Market balance / consolidation rather than trend
These suppression phases often precede volatility expansion, failed auctions, or impulsive moves, as liquidity builds and positioning becomes crowded.
The indicator is not directional and should be used as a market state filter, not a standalone signal. It helps distinguish balance vs expansion regimes and improves trade selection by aligning strategies with the current microstructural environment.
Institutional Volatility Expansion & Liquidity Thresholds (IVEL)Overview
The IVEL Engine is an institutional-grade volatility modeling tool designed to identify the mathematical boundaries of price delivery. Unlike retail oscillators that use fixed scales, this script utilizes dynamic ATR-based multiples to map Institutional Premium and Discount zones in real-time.
How to Use
To maximize the effectiveness of the IVEL Engine, traders should focus on Price Delivery at the extreme thresholds:
Identifying Institutional Premium (Short Setup) : When price expands into the Upper Red Zone, it has reached a mathematical exhaustion point. Seek short-side entries when price shows signs of rejection from this level back toward the Fair Value Baseline.
Identifying Institutional Discount (Long Setup) : When price reaches the Lower Green Zone, it is considered "cheap" by institutional algorithms. Look for long-side absorption or accumulation patterns within this zone.
Mean Reversion Targets: The Fair Value Baseline (Center Line) acts as the primary magnetic target. Successful trades taken at the outer thresholds should use the baseline as the first objective for profit-taking.
Alerts & Execution Strategy
The IVEL Engine is designed for automated monitoring so you don't have to watch the screen 24/7. To set up your execution workflow:
Set the Alert : Right-click the indicator and select "Add Alert." Set the condition to "Price Crossing Institutional Premium" (Upper Red) or "Price Crossing Institutional Discount" (Lower Green).
Wait for the Hit : Do not market-enter as soon as the alert fires. The alert tells you price has entered a High-Probability Liquidity Zone.
Confirm the Rejection : Once alerted, drop down to a lower timeframe (e.g., 5m or 15m) and look for a "Shift in Market Structure" or an SMT Divergence.
Execute : Enter once the rejection is confirmed, targeting the Fair Value Baseline as your primary TP1.
Methodology
The script anchors to an EMA-based baseline and projects expansion bands that adapt to current market conditions.
Value Area : The blue inner region where the majority of trading volume occurs.
Liquidity Exhaustion : The red and green outer regions where the probability of "Smart Money" reversal is highest.
Bitwardex AI Algo 2.0Bitwardex AI Algo — Adaptive Intelligent Strategy
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📋 OVERVIEW
This comprehensive algorithmic strategy combines adaptive trend detection using Gaussian smoothing, statistical cluster analysis for support/resistance identification, and intelligent risk management into a unified decision-support system.
Unlike simple indicator combinations, this strategy implements an integrated analytical architecture where each component directly influences the others — the Heikin Ashi transformation feeds into Gaussian smoothing with adaptive sigma parameters, which adapts to volatility metrics (ATR), while the clustering engine uses this preprocessed data to identify statistically significant price zones that the trend filter validates before execution. This creates a synergistic system where removing any component fundamentally changes the behavior of the others.
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🎯 WHAT MAKES THIS UNIQUE
▸ Integrated Analytical Pipeline
Most strategies use independent indicators that don't interact. This system implements a complete analytical chain where:
- Heikin Ashi preprocessing reduces noise before Gaussian smoothing
- Gaussian smoothing adapts its sigma parameter based on pseudo-K-means trend classification
- Statistical clustering uses the smoothed data to identify statistically significant price zones
- Trend filter validates cluster-based signals using the same Gaussian-smoothed trend line
- Removing any component fundamentally changes the behavior of the others
▸ Statistical Cluster-Based Support/Resistance
Unlike traditional pivot-based or Fibonacci levels, this system uses statistical clustering methods to identify support/resistance zones. The algorithm dynamically adjusts boundaries based on:
- Current volatility (ATR ratio)
- Cluster strength (density of price points in each cluster)
- Price dispersion metrics
This creates adaptive levels that respond to market conditions rather than fixed historical points.
▸ Self-Analyzing Performance
Built-in real-time performance tracking monitors winrates for each TP level across three time windows (last 10, last 25, all trades), automatically tests 40 parameter variations in parallel, and provides optimization recommendations with overfitting protection filters.
▸ Human-Readable Market Intelligence System
The system transforms complex multi-indicator analysis (RSI, MACD, ADX, Bollinger Bands, ATR, volume) into clear text summaries that evaluate inter-indicator relationships, identify conflicts and consistency, and provide actionable market insights.
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🧠 HOW IT WORKS — METHODOLOGY
▸ Price Preprocessing with Heikin Ashi
The system uses Heikin Ashi transformation to reduce market noise and highlight significant trend patterns. Critical design decision: only confirmed values from previous bars (ha_close_prev, ha_open_prev, ha_high_prev, ha_low_prev) are used, which completely eliminates signal repainting. This means that signals you see in backtest are identical to those you would receive in real-time — no changes after appearance.
▸ Adaptive Trend Detection using Gaussian Smoothing
Instead of standard moving averages, the system uses Gaussian smoothing with adaptive sigma parameters. The Gaussian kernel is calculated as: weight = exp(-i²/(2σ²)), where sigma = length / (6.0 * trendStrength).
The trendStrength parameter dynamically adjusts based on market conditions detected via pseudo-K-means clustering:
- In trending conditions (cluster 1 or -1): sigma is reduced (0.5x), making the filter more responsive
- In sideways conditions (cluster 0): standard sigma (1.0x) is used for balanced filtering
The trend line itself is calculated using a pseudo-K-means approach that classifies market state into three clusters:
- Feature vector:
- Normalization: price_change uses sigmoid(priceChange/ATR), CCI is clamped to then scaled to , price_deviation uses sigmoid
- Centroids: uptrend=0.75, downtrend=0.25, sideways=0.5
- Classification: assigns to nearest centroid via Euclidean distance
- Adaptive response: in trending clusters, trend line is pulled closer to price (0.5x distance multiplier) and smoothing is reduced
▸ Intelligent Sensitivity Adaptation
The key innovation is dynamic adaptation of processing parameters depending on current market state. The system uses pseudo-K-means clustering to classify market conditions:
- Cluster 1 (Uptrend): Centroid at 0.75, based on normalized price change + normalized CCI + normalized price deviation
- Cluster -1 (Downtrend): Centroid at 0.25
- Cluster 0 (Sideways): Centroid at 0.5
Based on cluster assignment, the system automatically adjusts:
In trending conditions (cluster 1 or -1): Sensitivity multiplier reduced to 0.5x, trendStrength reduced to 0.5, making the system more responsive
In volatile conditions: Volatility factor (ATR / SMA(ATR, 14)) increases noise filtering
In sideways movements: Standard parameters apply balanced approach
▸ Signal Generation through Statistical Cluster Analysis
The system uses statistical clustering methods to identify significant price zones that represent potential support and resistance levels. The clustering algorithm analyzes recent price data to group prices into statistically significant clusters, identifying areas where price has historically consolidated.
The identified cluster boundaries are dynamically adjusted based on multiple market factors:
- Current market volatility (measured through ATR ratios)
- Statistical strength of cluster formations
- Price dispersion metrics
- User-defined sensitivity parameters
This creates adaptive support/resistance levels that respond to changing market conditions rather than relying on fixed historical points. The boundaries are recalculated on each bar to reflect current market structure.
Signals are generated when Heikin Ashi close crosses these statistically justified boundaries:
Long signals occur when price crosses below the lower cluster boundary, indicating a move toward a potential support zone
Short signals occur when price crosses above the upper cluster boundary, indicating a move toward a potential resistance zone
▸ Validation through Trend Filter
All signals undergo validation through a trend filter using the Gaussian-smoothed trend line. The filter confirms signal direction matches current trend:
- Long signals require: trendSide == 1 (trend >= trend and ha_close_prev > trend)
- Short signals require: trendSide == -1 (trend <= trend and ha_close_prev < trend)
Optional multi-timeframe confirmation is available, where the system automatically selects a higher timeframe (e.g., 1min → 5min, 5min → 15min) for additional signal validation, ensuring consistency with broader market context.
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🔬 WHY THIS COMBINATION IS ORIGINAL
This strategy is not a simple mashup of indicators. The integration creates novel behavior:
1. Feedback Loop Between Components
- Statistical clustering identifies price zones, but these zones are calculated using Gaussian-smoothed Heikin Ashi data
- The Gaussian smoothing adapts its responsiveness based on pseudo-K-means trend classification
- The trend filter validates cluster-based signals using the same adaptive trend line
- This creates a feedback loop where each component informs and adjusts the others
2. Statistical Justification for Levels
Unlike fixed pivot points or Fibonacci retracements, support/resistance levels are:
- Dynamically recalculated using statistical clustering methods with minimum point requirements for validity
- Adjusted by volatility factor (ATR ratio) and cluster strength (density)
- Statistically validated through cluster formation strength
- This adapts to changing market regimes rather than relying on historical levels
3. Adaptive Smoothing Based on Market Regime
The Gaussian smoothing doesn't use fixed parameters. Instead:
- Sigma adapts based on market regime classification (trending vs sideways)
- In trending markets, reduced smoothing (0.5x sigma) allows faster response
- In sideways markets, standard smoothing filters noise effectively
- This prevents the common problem of lag in trends and noise in ranges
4. Multi-Layer Signal Validation
Signals must pass multiple validation layers:
- Cluster boundary crossing (statistical significance)
- Trend direction confirmation (adaptive trend filter)
- Optional multi-timeframe validation
- This reduces false signals compared to single-indicator approaches
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📊 UNIQUE FEATURES
▸ 🤖 AI Market Summary — Intelligent Market Analysis
The system transforms complex multi-indicator analysis into understandable text summaries written in the style of professional market reports. The system collects data from multiple sources:
Data Collection:
Trend metrics: price position relative to EMA, trend direction, trend strength (ADX)
Momentum indicators: RSI levels, MACD signals, momentum histogram
Volatility: ATR percentage value, Bollinger Bands width, squeeze detection
Volume analysis: current volume to average ratio, volume spike detection
Price action: candlestick pattern analysis, proximity to key levels
Processing and Analysis:
Each category is analyzed through specialized functions that not only calculate numerical scores but also evaluate inter-indicator relationships. The system identifies conflicts and consistency between different signals, creating a holistic picture of market conditions.
Summary Generation:
The result is a coherent text report that includes:
Current market state (trend/flat, volatility, phase)
Key support and resistance levels
Possible development scenarios
Identified risk factors and warnings
Recommendations for interpreting current situation
The summary updates with configurable frequency (default every 10 bars) to balance information freshness and readability.
▸ 📈 Multi-Level Winrate Tracking
The system provides detailed performance statistics for each take-profit level across three time windows, allowing tracking of both short-term changes and long-term trends.
Time Windows:
Last 10 trades : Shows immediate changes in performance, helps identify current shifts in strategy effectiveness
Last 25 trades : Reflects medium-term trends, balances between relevance and statistical significance
All trades : Provides long-term baseline for comparison
Visualization:
Each winrate matrix cell has color coding with gradient from dark red (0%) to bright green (100%), allowing instant assessment of each TP level's effectiveness.
Practical Applications:
Identifying most reliable TP levels in current market conditions
Detecting strategy degradation (when recent performance is significantly lower than historical)
Validating parameter changes — comparing performance before and after adjustments
Comparing effectiveness across different timeframes and instruments
Making decisions about volume distribution between TP levels
▸ ⚙️ AI Strategy Optimizer — Automatic Optimization
The system automatically tests 40 sensitivity parameter variations in real-time, providing optimization recommendations without the need for manual backtesting.
Mechanism:
On each confirmed bar, the system runs parallel sensitivity simulations using the backtest library. Each simulation:
1. Generates signals using calculateLevelsAndConditions() with different sensitivity multipliers
2. Fully reproduces the strategy's trading logic, including all risk management mechanisms (TP/SL, trailing stop, breakeven)
3. Calculates metrics: comprehensive score, winrate, profit factor, net profit
4. Applies configurable filters (minimum trades, winrate, profit, profit factor)
5. Selects best parameters based on four criteria: Optimal (balanced score), Best Profit, Best Winrate, Best Profit Factor
Optimization Metrics:
The system provides four different criteria for selecting optimal parameters:
Optimal : Balanced comprehensive score considering profit, winrate, and profit factor simultaneously. Recommended for most cases.
Best Profit : Maximizes net profit in absolute values. Suitable for aggressive traders willing to accept lower winrate for greater profit.
Best Winrate : Focuses on maximum percentage of winning trades. Ideal for conservative traders preferring stability.
Best Profit Factor : Optimizes profit to loss ratio. Shows how efficiently the strategy generates profit relative to risk.
Protection Filters:
To prevent overfitting and ensure statistical significance, configurable filters are available:
Minimum trades : Requires minimum number of historical trades for result validation (recommended ≥30)
Minimum winrate : Excludes options with unacceptably low win percentage
Minimum profit : Filters options that don't reach target profitability level
Minimum profit factor : Ensures profit/loss ratio meets requirements
Overfitting Protection:
Multiple metrics prevent optimization on a single statistic
Minimum trade requirements ensure statistical validity
Comparing different time windows helps identify degradation of "optimal" parameters
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🎯 RISK MANAGEMENT
▸ Take-Profit: Multi-Level Exit System
The strategy supports up to 4 independent take-profit levels, each configurable individually.
Calculation Modes:
Percentage mode : Fixed percentage from entry price, simple and clear
ATR mode : Distance calculated based on Average True Range, automatically adapts to current instrument volatility
Partial Exits:
Each TP level can close a configurable percentage of position, allowing flexible profit distribution strategy:
Default: 25% at each of first three TPs, 100% at fourth
Fully configurable volume distribution between levels
Ability to disable any level while keeping others
Multi-Level System Advantages:
Capturing profit at early stages of movement
Preserving part of position for potentially large moves
Reducing psychological pressure through partial profit locking
▸ Stop-Loss: Adaptive Protection
The system offers several stop-loss calculation methods for optimal capital protection.
Calculation Modes:
ATR mode : Stop is placed at distance multiple of current ATR. Automatically widens in volatile conditions and narrows in calm markets, providing adequate protection without excessive risk.
Percentage mode : Fixed percentage from entry price. Simple and predictable method, suitable for stable instruments.
Features:
Fully configurable multiplier/percentage
Ability to disable stop-loss (not recommended)
Automatic adjustment when breakeven or trailing stop activates
▸ Trailing Stop: Profit Protection
Advanced trailing stop system that automatically moves stop-loss in favorable direction, protecting profit while maintaining potential for further growth.
Activation Modes:
Immediate activation : Trailing starts immediately after position entry
Threshold activation : Trailing activates only after reaching certain profit percentage, allowing position to "breathe" at early stages
Calculation Modes:
Percentage mode : Stop held at fixed percentage from maximum achieved price
ATR mode : Trail distance calculated based on ATR, adapting to volatility
Key Features:
Stop moves only in favorable direction, never backward
Automatic update when new extremes are reached
Full integration with alert system for change notifications
▸ Breakeven: Automatic Entry Protection
The system automatically moves stop-loss to entry level after reaching certain profit threshold, guaranteeing no loss on further movement.
Activation Modes:
Percentage mode : Activation when reaching certain profit percentage
ATR mode : Activation when reaching distance multiple of ATR
TP-based mode : Activation when reaching one of take-profit levels (TP1, TP2, TP3, or TP4)
Advantages:
Psychological comfort — position protected from loss
Ability to hold position for large moves without risk
Automatic management without need for manual intervention
▸ Position Size Management
Flexible position size management system with multiple modes and additional optimization mechanisms.
Size Modes:
Fixed amount : Position opened for fixed amount in dollars (or other currency)
Percentage of deposit : Position size calculated as percentage of current deposit, automatically adapts to balance changes
Consolidation Risk Control:
Unique function that automatically increases position size when detecting periods of low volatility (consolidation). Logic is based on the fact that during low volatility periods, stop-losses are placed closer to price, meaning lower absolute risk per position. Size increase compensates for this, maintaining constant risk level.
Martingale (Optional):
The system supports optional martingale mechanism with configurable multiplier:
Activation only after losing trade
Configurable size increase multiplier (default 1.5x)
Protection against excessive increase through maximum position size limit
Automatic reset to base size after profitable trade
Leverage:
Full support for trading with leverage:
Configurable leverage value (default 10x)
Automatic position size calculation considering leverage
Correct profit/loss calculation including commissions
▸ Commissions
Full support for commission accounting:
Configurable commission percentage (default 0.04%)
Automatic commission accounting in profit/loss calculations
Commission impact considered in all backtests and optimizations
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📐 VISUAL INTERFACE
Information Tables:
▸ Control Panel
Comprehensive information panel displaying all key metrics:
Header and Status:
Strategy status indicator (LONG/SHORT/Waiting)
First trade date for history tracking
Current instrument and timeframe information
Winrate Matrix:
Three-dimensional matrix: 4 TP levels × 3 time windows
Color coding with gradient for instant assessment
Percentage values with integer precision
Allows quick identification of most effective levels
AI Strategy Optimizer:
Four recommendation rows with different optimization criteria
Display of recommended sensitivity for each criterion
Corresponding profit and profit factor metrics
Color coding for quick assessment of recommendation quality
Information about active optimization filters
Display Settings:
Table position selection (4 screen corners)
Configurable text size (tiny, small, normal)
Dark color scheme for comfortable viewing
▸ AI Market Summary Table
Separate table with textual market analysis in professional report style:
Content:
Complete textual summary of current market state
Analysis of trend, momentum, volatility, and volume
Identified key levels and scenarios
Risk factors and warnings
Settings:
Independent positioning from main panel
Configurable text size
Update frequency (default every 10 bars)
Automatic caching for performance optimization
Alert System:
▸ Internal Alerts
Human-readable alerts for manual trading or notifications:
Entry Alert:
Instrument ticker
Position direction (LONG/SHORT)
Entry price
All active TP levels with exit volumes
Stop-loss level
Leverage
Order size
TP Achievement Alert:
Ticker and position direction
Number of achieved TP level
Entry price for reference
SL Trigger Alert:
Ticker and position direction
Notification of position closure by stop-loss
Trailing Stop Alert:
Notification of trailing stop trigger
Position direction information
Breakeven Alert:
Notification of breakeven activation
New stop-loss level
Dynamic Exit Alert:
Exit reason (e.g., "RSI overbought exit")
Closed position direction
▸ Custom Alerts
Fully configurable text messages for each event type:
Custom entry alert
Custom TP achievement alert
Custom SL trigger alert
Useful for integration with external systems or message personalization
▸ JSON Format Alerts
JSON format alerts for integration with external trading systems
Features:
Complete information about all TP levels with exit volumes
Automatic generation of correct JSON structure
Support for all event types (entry, exit, SL change)
Structured format includes: key_hash, signal_hash, action, side, symbol, amount, leverage, stopLoss, take_profits array
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⚠️ IMPORTANT DISCLAIMERS
DOES NOT:
Predict future prices — identifies probabilistic setups
Guarantee profits — all trading involves risk
Work equally everywhere — performance varies by instrument/TF
Eliminate need for risk management — use appropriate sizing
Recommendations:
Paper trade first
Start with small positions
Monitor winrate tables continuously
Re-optimize if recent performance degrades
Understand the logic before live trading
This strategy is intended for educational and informational purposes. Conduct your own research before trading with real capital. Past performance does not guarantee future results.
Session Liquidity Sweep + Trend ConfirmationThis strategy aims to capture high-probability intraday trades by combining liquidity sweeps with a trend confirmation filter. It is designed for traders who want a systematic approach to trade breakouts during specific market sessions while controlling risk with ATR-based stops.
How it Works:
Session Filter: Trades are only considered during a defined session (default 9:30 - 11:00). This helps avoid low-volume periods that can lead to false signals.
Trend Confirmation: The strategy uses a 50-period EMA to identify the market trend. Long trades are only taken in an uptrend, and short trades in a downtrend.
Liquidity Sweep Detection:
A long entry occurs when price dips below the prior N-bar low but closes back above it, indicating a potential liquidity sweep that stops being triggered before the trend continues upward.
A short entry occurs when price spikes above the prior N-bar high but closes below it, signaling a potential sweep of stops before the downward trend resumes.
ATR-Based Risk Management:
Stop loss is calculated using the Average True Range (ATR) multiplied by a configurable factor (default 1.5).
Take profit is set based on a risk-reward ratio (default 2.5x).
Position Sizing: Default position size is 5% of equity per trade, making it suitable for risk-conscious trading.
Inputs:
Session Start/End (HHMM)
Liquidity Lookback Period (number of bars to define prior high/low)
ATR Length for stop calculation
ATR Stop Multiplier
Risk-Reward Ratio
EMA Trend Filter Length
Visuals:
Prior Liquidity High (red)
Prior Liquidity Low (green)
EMA Trend (blue)
Why Use This Strategy:
Captures stop-hunt moves often triggered by larger market participants.
Only trades with trend confirmation, reducing false signals.
Provides automatic ATR-based stop loss and take profit for consistent risk management.
Easy to adjust session time, ATR, EMA length, and risk-reward to suit your trading style.
Important Notes:
Assumes 0.05% commission and 1-pip slippage. Adjust according to your broker.
Not financial advice; intended for educational, backtesting, or paper trading purposes.
Always test strategies thoroughly before applying to live accounts.
Trailing Stoploss % BasedA minimalistic trend-following indicator that plots a single trailing line based on a user-defined percentage using price highs and lows.
The line:
Trails price in trends
Moves only in the direction of the trend
Flattens when price is not making new highs or lows
Acts as support in uptrends and resistance in downtrends
Useful on all instruments and all timeframes for clean trend tracking and trailing stop management.
Scalping Suitability Radar🔍 Scalping Suitability Radar + BUY / SELL / STAND-BY Signals
What this indicator is
The Scalping Suitability Radar is a decision-support indicator designed to help traders avoid low-quality scalping environments and focus only on moments when the market shows:
Sufficient volatility
Adequate liquidity (volume)
Real momentum
Meaningful trend strength
Clear entry timing
Instead of forcing trades in slow, choppy, or low-energy markets, this indicator answers one critical question first:
“Is the market even worth scalping right now?”
Only after the market is deemed scalpable does it assist with:
BUY / SELL signals
STAND-BY (anticipation) alerts
A color-coded decision table explaining why a signal exists (or why you should stay out)
🧠 Core Philosophy
Most losing scalps don’t fail because of bad entries —
they fail because the market conditions were never suitable.
This indicator is built around the idea that:
No setup is better than a forced setup.
🧩 What the indicator evaluates (automatically)
1️⃣ Volatility (ATR % + optional Bollinger Band Width)
Confirms price is moving enough to overcome:
Spreads
Slippage
Time decay (especially for options)
If volatility is too low → NO SCALP
2️⃣ Volume (Relative to recent average)
Ensures liquidity is present
Prevents entries during thin, slow tape
Low volume = unreliable signals
3️⃣ Trend Strength (ADX)
Filters out dead chop and weak direction
Optional requirement that ADX is rising, not just high
4️⃣ Momentum (MACD + Histogram)
Confirms energy behind price movement
Histogram behavior helps anticipate crosses
5️⃣ Directional Bias (RSI + optional EMA filter)
RSI confirms bullish or bearish pressure
EMA filter aligns trades with short-term structure
🟢🟠🔴 Signal Types Explained
🟢 BUY / SELL
Triggered only when all market conditions are suitable, plus:
MACD crossover in the trade direction
RSI confirms directional bias
Optional EMA trend alignment
These are actionable scalp entries , not predictions.
🟠 STAND-BY (Anticipation Signal)
This is a unique feature designed to help you prepare before the entry fires.
STAND-BY appears when:
Market is already scalpable
MACD line and signal line are very close and converging
RSI is in range or very near range
Momentum is building toward a cross
What it means:
“Conditions are aligning — be ready, but don’t enter yet.”
This is especially useful for:
Fast timeframes (30s / 1m)
Options scalping
Traders who want to avoid chasing late entries
⚪ NOT SCALPABLE / GRAY BACKGROUND
When the background is gray:
Volatility, volume, trend, or momentum is insufficient
Any signals during this period should be ignored
This is intentional capital preservation
📊 Decision Table (Built for Novice & Advanced Traders)
The on-chart table shows, in real time:
Each indicator’s current value
The minimum “good” range
Color-coded status:
🟢 Green = suitable
🔴 Red = unsuitable
Helpful notes like:
“ADX rising”
“MACD near cross”
“RSI near LONG range”
“Stand-by confirmed”
This turns the indicator into a learning tool, not just a signal generator.
⚙️ Suggested Settings by Asset Type
Use these as starting points , not absolutes.
📈 Index Futures / Index CFDs (ES, NQ, DAX)
Timeframes: 30s – 1m
Min ATR %: 0.10 – 0.15
Min BB Width %: 0.20 – 0.30
Volume Multiplier: 1.1 – 1.2
ADX Min: 18 – 22
RSI Buy/Sell: 52 / 48
EMA Filter: ON
🧾 Index Options (0DTE SPX, ES options)
Timeframes: 30s
Min ATR %: 0.12 – 0.20
Min BB Width %: 0.25 – 0.40
Volume Multiplier: 1.2 – 1.4
ADX Min: 20 – 25
RSI Buy/Sell: 53 / 47
STAND-BY: Highly recommended
🪙 Crypto (BTC, ETH, majors)
Timeframes : 1m – 3m
Min ATR %: 0.15 – 0.30
BB Width %: 0.30 – 0.50
Volume Multiplier: 1.1
ADX Min: 17 – 20
RSI Buy/Sell: 51 / 49
EMA Filter: Optional (depends on style)
📊 Large-Cap Stocks (AAPL, MSFT, NVDA)
Timeframes: 1m – 5m
Min ATR %: 0.08 – 0.12
BB Width %: 0.15 – 0.25
Volume Multiplier: 1.2
ADX Min: 18
RSI Buy/Sell: 52 / 48
🧠 Best Practices
Do not trade against gray background
Use STAND-BY to prepare, not predict
Combine with:
Market structure
Key levels
Risk management
One clean trade > ten forced trades
⚠️ Disclaimer
This indicator is provided for educational and informational purposes only .
This is not financial advice
It does not guarantee profits or prevent losses
Markets behave differently across assets, sessions, and regimes
You are responsible for choosing settings that match:
Your trading style
Your risk tolerance
The specific asset you trade
Always test settings using paper trading or backtesting before using real capital.
RegimeWorks Context Overlay Sessions Regime Panel OutcomeMost traders ask: “Where can I enter?”
This indicator asks a better question:
“Do I even have permission to trade?”
RegimeWorks is a decision framework, not a signal generator.
It helps you filter the market before you think about entries.
RegimeWorks shows when the market has permission to trade, not when you should.
Use it to filter bad setups and focus your attention where it matters.
What This Indicator Actually Does
1) Broker-Aligned Behavior Sessions (XAUUSD)
Visualizes the real participation windows on the Fusion feed:
London Behavior: 15:00–18:00 UTC+2
NY Behavior: 21:00–00:00 UTC+2
These are liquidity behaviors, not textbook FX clocks.
The goal is simple: trade only when the market is awake.
2) High-Timeframe Permission Layer
A structured HTF filter combining:
EMA alignment & direction
ATR expansion vs baseline
Slope agreement
Stretch / over-extension guard
This becomes a single answer:
Regime VALID → continuation is allowed
Regime INVALID → stand aside
Reversal Permitted → only when trend is weak and not stretched
The panel translates conditions into plain language:
Continuation Permitted (London)
No Trade – Conditions Not Met
Reversal Permitted (NY)
It teaches process without exposing any private entry logic.
How to Use (3 Steps)
Start with the panel.
If Regime = INVALID → you’re done. No trade.
Check the session.
Closed session = no business trading.
Read the Outcome line.
It tells you what behavior is allowed — not what button to press.
Regime → Session → Setup → Execution
Best Chart Setup
XAUUSD on 1H / 4H
Keep panel visible for journaling
Use “No Trade” days as part of your edge
Who This Is For
Traders tired of overtrading
Anyone building rule-based discipline
Educators who want a clean context layer
Disclaimers
Educational tool only.
Not financial advice.
Risk management remains your responsibility.
RegimeWorks — Trade Permission First
