Volatility Regimes | GainzAlgo📊 OVERVIEW
This is a comprehensive ATR-based trading system designed for professional traders who need advanced volatility analysis, precise trade management, and intelligent market-regime detection.
The indicator combines multiple proven volatility concepts into one powerful, highly customizable tool.
⚙️ CORE FEATURES
1️⃣ ATR BANDS (Dynamic Support & Resistance)
- Three levels of ATR-based bands plotted around price
- Band 1 (1× ATR): Closest support/resistance, primary TP target
- Band 2 (2× ATR): Secondary TP target, stronger S/R zone
- Band 3 (3× ATR): Extended TP target, major S/R level
- Bands adapt to volatility in real time
- Dotted lines mark TP points on the latest candle
2️⃣ VOLATILITY REGIME DETECTION (Market Phase Analysis)
Automatically classifies the market into four distinct volatility regimes:
🟢 COMPRESSION
ATR < 70% of baseline
Low-volatility consolidation, market is coiling
Best for: Preparing breakouts, tightening stops
🟠 EXPANSION
ATR 115–140% of baseline
Volatility breakout, early trend formation
Best for: Breakout entries, momentum trades
🔴 HIGH VOLATILITY
ATR > 140% of baseline
Strong sustained trend, maximum participation
Best for: Trend following, trailing stops
🟣 EXHAUSTION
Declining ATR after high volatility
Trend maturity, potential pause or reversal
Best for: Profit taking, reducing exposure
Additional details:
- Uses ATR Ratio (Current ATR / Long-term Baseline)
- Non-repainting logic with historical confirmation
- Background shading + regime labels for instant clarity
- Diamond markers highlight regime changes
3️⃣ DYNAMIC STOP-LOSS SYSTEM
- Automatically calculates optimal stop distance using ATR
- Adapts to current market volatility
- Separate logic for bullish and bearish trades
- Default 2× ATR multiplier (adjustable 0.5× – 5×)
- Visual cross markers display stop levels
- Tighter stops in low volatility, wider in high volatility
4️⃣ MULTIPLE TAKE-PROFIT LEVELS (TP1 / TP2 / TP3)
- Three progressive profit targets for scaling out
- TP1 (1.5× ATR): First partial profit
- TP2 (2.5× ATR): Secondary scale-out
- TP3 (4.0× ATR): Final target or runner
- Dashed lines with labels on the current bar
- Automatically aligns with trend direction
- Fully customizable multipliers
5️⃣ SUPPORT & RESISTANCE LEVELS
- Dynamic S/R detection using price extremes
- ATR-weighted significance filtering
- Adjustable lookback period (10–100 bars)
- Circle markers for visual clarity
- Updates in real time as new highs/lows form
6️⃣ RISK MANAGEMENT CALCULATOR
- Real-time position-size calculation
- Based on account size, risk percentage, and ATR stop distance
- Formula: Position Size = Risk Amount ÷ Stop Distance
- Example: $10,000 account, 1% risk, $50 stop = 200 shares
- Displays position size and dollar risk directly on chart
- Ensures consistent risk across all trades
7️⃣ ATR PERCENTILE RANKING
- Shows where current ATR ranks historically (0–100%)
- Above 80%: Extremely high volatility
- 20–80%: Normal volatility
- Below 20%: Extremely low volatility
- Adjustable lookback (50–500 bars)
- Alerts trigger at above 90% and below 10% extremes
- Adds context to all regime-based decisions
8️⃣ VOLATILITY CONTRACTION PATTERN
- Detects tight consolidation (volatility squeeze)
- Requires consecutive bars of low ATR
- Default: 7 bars below 50% of average ATR
- Yellow triangle alert when pattern completes
- Often precedes strong breakout moves
- Works on all timeframes
9️⃣ TREND DETECTION SIGNALS
- Up and down arrows on trend change with rising ATR
- Combines price direction with volatility confirmation
- Smoothing filters reduce false signals
- Green arrow for bullish, red arrow for bearish
🔟 VOLATILITY BREAKOUT SIGNALS
- Circle markers when ATR exceeds threshold
- Default threshold: 1.5× ATR average
- Indicates surge in market activity
- Can signal the start of new trends
🧠 RECOMMENDED SETTINGS BY TRADING STYLE
Day Trading (1m–15m)
ATR Length: 14
Regime Baseline: 30
SL Multiplier: 1.5–2.0
TP: 1.5 / 2.5 / 4.0
Risk: 0.5–1%
Swing Trading (1H–4H)
ATR Length: 14
Regime Baseline: 50
SL Multiplier: 2.0–2.5
TP: 2.0 / 3.5 / 6.0
Risk: 1–2%
Position Trading (Daily)
ATR Length: 14–21
Regime Baseline: 100
SL Multiplier: 2.5–3.0
TP: 3.0 / 5.0 / 8.0
Risk: 2–3%
Scalping (15s–5m)
ATR Length: 10
Regime Baseline: 20
SL Multiplier: 1.0–1.5
TP: 1.0 / 1.5 / 2.5
Risk: 0.5–1%
🧭 HOW TO USE
1. Identify the current volatility regime
2. Wait for entry confirmation (breakouts, trend arrows, contraction patterns)
3. Set stop loss using dynamic ATR-based levels
4. Scale out at TP1, TP2, TP3 or use ATR bands
5. Use the risk calculator for consistent position sizing
6. Monitor regime changes and manage exposure accordingly
🚨 ALERT SYSTEM
Alerts included for volatility breakouts, trend changes, regime transitions, ATR band crosses, contraction pattern completion, and ATR percentile extremes.
All alerts are fully configurable in TradingView.
🎨 VISUAL GUIDE
Background colors: Volatility regimes
Solid lines: ATR bands
Dotted lines: Latest TP points
Dashed lines: Take-profit levels
Cross markers: Stop-loss levels
Circles: Support, resistance, and breakouts
Arrows: Trend direction
Diamonds: Regime changes
Triangles: Contraction alerts
Labels: Regime info, ATR percentile, position size
🛠️ CUSTOMIZATION
- Toggle any feature on or off
- Adjust all thresholds and multipliers
- Customize colors
- Configure alerts
- Set account size and risk parameters
⚠️ IMPORTANT NOTES
- This indicator provides analytical tools, not trading signals
- Always apply proper risk management
- Backtest before live use
- ATR adapts to volatility, not direction
If you find this indicator useful, please leave a rating and comment ⭐
Trendtrading
Quantum Wolf Model Options CoreQuantum Wolf Model — Options Core
Overview
Quantum Wolf Model — Options Core is a decision-support indicator designed to assist traders with options market evaluation, risk awareness, and position sizing guidance.
The script does not place trades, does not generate automatic buy/sell orders, and does not predict future price movements.
How the Indicator Works
The model evaluates market conditions using a layered framework:
Market regime analysis to identify trend or range environments
Higher-timeframe bias alignment for directional context
Volatility assessment using ATR and implied-volatility ranking
Liquidity and volume participation to filter low-quality conditions
Session context awareness to account for active vs thin trading periods
Price-derived Greek-style sensitivity metrics (Delta, Gamma, Theta) to assess directional responsiveness, volatility expansion, and time-decay risk
These factors are combined into an internal scoring and filtering process that helps determine when options exposure may be more appropriate and how risk could be scaled based on current conditions.
Risk & Usage Notes
This indicator is for informational and analytical purposes only.
It is not financial advice and should not be used as a standalone trading system.
Options trading involves significant risk, and users are responsible for all execution and risk management decisions.
Intended Audience
Designed for traders who understand options mechanics and want an additional market-condition and risk-governance layer to support their own strategy.
Disclaimer
Past market behavior does not guarantee future results.
Use at your own discretion.
MA Distance Percentile - HighQ ToolsHighQTools — MA Distance Percentile (MADP)
As always, if anyone has any tips or additional features they'd like to see, feel free to reach out!
MA Distance Percentile (MADP) measures how far price is from its moving average relative to its own recent history.
Instead of showing raw distance (which varies by symbol, volatility, and timeframe), MADP normalizes price-to-MA distance into a 0–100 percentile rank over a rolling lookback window. This allows traders to quickly identify when price is relatively extended or compressed compared to recent conditions.
🔍 How It Works
A moving average is calculated (EMA by default, configurable).
The ratio of price / MA is computed.
That ratio is percentile-ranked over a user-defined lookback window.
The result is optionally smoothed for clarity.
High values (e.g., 80–100): Price is more extended above its MA than it has been recently.
Low values (e.g., 0–20): Price is relatively compressed or discounted vs its MA.
🧭 How to Use It
MADP is best used as a context tool, not a standalone signal:
Identify mean-reversion potential at relative extremes
Distinguish trend continuation vs exhaustion
Filter entries taken near highs/lows vs those taken in compression
Combine with structure, volume, delta, or VWAP-based tools
Optional visual levels (20 / 50 / 80) are provided for quick reference. Simple signals are included but disabled by default to encourage discretionary use.
⚙️ Defaults & Notes
Default MA: 20-period EMA
Default lookback: 200 bars
Designed for intraday and swing analysis
Does not repaint
Percentile-based normalization makes it robust across symbols and timeframes
This indicator is part of the HighQTools framework: clean, transparent tools designed to provide context first, not overfitted signals.
V-Max L1: Strategic Horizon & Trend Navigator Overview V-Max L1 is a strategic trend-following indicator designed to filter market noise and identify macro inertia. It combines multiple classical technical theories into a unified visual system to help traders maintain direction in volatile markets.
Technical Logic & Calculations This script integrates several key components to justify its invite-only status:
Trend Filter: Uses a 200/233 EMA (Vegas Tunnel) as the core trend boundary.
Momentum Integration: Uses a multi-length RSI algorithm to detect overbought/oversold conditions (Yellow/Pink signals).
Volume Analysis: Monitors relative volume spikes (>1.5x average) to identify institutional "Ignition Candles."
Signal Smoothing: Employs MTF (Multi-Timeframe) confirmation logic to reduce signal flickering on lower timeframes.
How to Use
Background Color: Indicates the macro trend (Gray for Bullish, Dark Red for Bearish).
Launch Signals: "Long/Short" labels appear when 10/30 MA crossovers occur under specific RSI conditions.
Top/Bottom Signals: Based on long-cycle RSI extremes for strategic reversals.
產品概述 V-Max L1 戰略地圖是一款趨勢跟蹤指標，旨在過濾市場雜訊並識別宏觀慣性。它將多種經典技術理論整合到統一的視覺系統中，幫助交易者在波動市場中保持方向。
技術邏輯與計算 本腳本整合了以下核心組件：
趨勢過濾：使用 200/233 EMA (維加斯通道) 作為核心趨勢分水嶺。
動能整合：使用多長度 RSI 算法檢測超買/超賣狀況（黃燈/粉燈）。
量價分析：監測超過 1.5 倍的異常成交量，標註機構級「點火 K 線」。
訊號平滑：採用多時區確認邏輯，減少低時區的訊號閃爍。
如何使用
背景顏色：顯示宏觀趨勢（灰色代表多頭，暗紅色代表空頭）。
發射訊號：當 10/30 MA 在特定 RSI 條件下完成交叉時顯示。
This is an invite-only indicator. For access and authorization, please contact: 👉 Telegram: @VMax_Helper_bot
Disclaimer: This script is for technical analysis only and does not constitute financial advice.
Trend Stress Quant [MarkitTick]💡This indicator combines a liquidity-based stress model with a dynamic linear regression channel to identify potential market exhaustion points and assess trend quality. By merging volume impact analysis with statistical deviation, this tool aims to highlight moments where price action may be overextended relative to the underlying liquidity conditions.
● Originality and Utility
Standard volatility indicators often rely solely on price range (like Bollinger Bands). This script introduces a Stress Engine that normalizes the relationship between Price Range (True Range) and Volume. This helps distinguish between healthy price movements and liquidity-stress events (illiquidity). Furthermore, instead of using a fixed-length channel, this tool offers a Dynamic Mode that anchors the regression channel to recent pivot points, ensuring the statistical analysis aligns with the current market structure rather than an arbitrary timeframe.
● Methodology
The script operates on two distinct mathematical models:
• Illiquidity Stress Engine
The core formula calculates a raw illiquidity metric based on the log-normal distribution of the ratio between True Range and Volume. A Z-Score (standard score) is then derived from this data over a specific lookback period. High Z-Scores indicate that price is moving disproportionately fast relative to the available volume, often a signature of panic selling or euphoric buying (exhaustion).
• Linear Regression Channel
The script calculates an Ordinary Least Squares (OLS) regression line (the line of best fit) to determine the mean price trend.
Standard Deviation Bands are plotted parallel to this mean.
Pearson Correlation Coefficient (R) is calculated to quantify the strength of the linear trend. Values closer to 1 or -1 indicate a strong trend, while values near 0 indicate a chaotic or ranging market.
📑 How to Use
Traders can utilize the visual outputs for mean reversion or trend continuation context:
• Exhaustion Signals (SE / BE Labels)
SE (Seller Exhaustion): Appears when the market is in a downtrend, but the Stress Engine detects a statistical anomaly (High Z-Score) on a down candle. This suggests panic selling may be peaking.
BE (Buyer Exhaustion): Appears when the market is in an uptrend, but the Stress Engine detects high stress on an up candle, suggesting a potential blow-off top.
• Regression Channel
The dashed middle line represents the fair value (mean) of the current trend.
The outer bands represent statistical extremes. Price interacting with the outer bands (default 2 Standard Deviations) while coincident with an Exhaustion Signal provides a high-confluence area of interest.
• Metrics Dashboard
A dashboard displays the current Trend Regime, Exhaustion Status, and Channel Width (volatility percentage).
● Settings
• Exhaustion Model
Trend Filter Length: Sets the baseline EMA to determine if the market is bullish or bearish.
Stress Threshold (Sigma): The Z-Score required to trigger an exhaustion signal (default is 2.0).
• Channel Configuration
Dynamic Pivot Mode: If enabled, automatically calculates the channel length based on recent pivots. If disabled, uses the Fixed Length.
Standard Deviations: Controls the width of the inner and outer channel bands.
📖This guide explains how to interpret and utilize signals for trading:
The script is designed primarily for Mean Reversion and Exhaustion trading strategies.
● The Core Strategy: Volatility Exhaustion
The script uses a "Stress Engine" to identify when price movement is statistically overextended relative to the available liquidity (Volume).
• Setup A: The "Seller Exhaustion" (Bullish Bounce)
Look for this setup during a downtrend to catch a temporary bottom or a reversal.
Trend Condition: The dashboard shows Bearish (Price is below the trend filter).
Trigger: The label SE (Seller Exhaustion) appears below a candle.
Why? This indicates that selling pressure was intense but likely panic-driven (High Z-Score/Stress) and may be drying up.
Confluence: Ideally, this signal appears when the price is touching or piercing the Lower Channel Band (dotted or solid lines).
Action: Traders often use this as a signal to close Short positions or enter a speculative Long (counter-trend) targeting the middle line.
• Setup B: The "Buyer Exhaustion" (Bearish Pullback)
Look for this setup during an uptrend to catch a local top.
Trend Condition: The dashboard shows Bullish .
Trigger: The label BE (Buyer Exhaustion) appears above a candle.
Why? This indicates euphoric buying on low liquidity or extreme volatility that is statistically unsustainable.
Confluence: Look for price rejection at the Upper Channel Band.
Action: Traders often use this to close Long positions or enter a Short targeting the mean.
● The Filter: Trend & Correlation
The script includes a Linear Regression Channel that quantifies the quality of the trend.
• Channel Slope
If the channel is angling steeply up or down, the trend is strong.
• Pearson R (Correlation)
The script calculates the Pearson R coefficient.
Weak Correlation: If the channel turns Gray/Neutral (or the fill becomes weak), it means the correlation is below the threshold (default 0.5).
Trading Rule: Avoid trading exhaustion signals when the channel is Gray/Neutral, as the market is likely chopping sideways with no clear direction.
● Risk Management & Targets
• Stop Loss
Since this is a volatility tool, a common technique is to place stops just outside the Outer Deviation Band (the widest line). If price expands beyond the outer band with no exhaustion signal, the trend may be entering a "runaway" phase.
• Take Profit
Target 1: The Middle Regression Line (The dashed center line). Prices tend to revert to this mean after an exhaustion event.
Target 2: The opposite channel band (e.g., if you bought at the bottom, hold until the top).
● Summary of Dashboard Metrics
The table on your chart provides a quick snapshot:
Trend Regime: Tells you if you should fundamentally look for Shorts (Bearish) or Longs (Bullish).
Seller/Buyer Status: Alerts you if the current bar is EXHAUSTED or Normal .
Channel Width %: Indicates volatility. If the width is very low (percentage is small), a breakout might be imminent (squeezing). If high, be careful of chop.
⚙️ Indicator settings
• Signal Parameters
Exhaustion & Stress Model: Controls signal sensitivity.
Trend Filter: Decides if the market is Bullish or Bearish.
Stress Threshold (Sigma): Higher values (e.g., 2.5) make the script stricter, showing fewer but potentially stronger signals.
• Channel Configuration
Dynamic Pivot Mode: If ON, the channel length auto-adjusts to recent market pivots. If OFF, it uses the Fixed Length you set.
Channel Bands: Adjusts the channel width.
Outer Deviation: The boundary for "extreme" moves. Price hitting this often signals a reversal.
• Quality Filter
Filter Weak Correlations: If enabled, the channel turns gray during choppy/sideways markets to warn you not to trust trend signals.
• Visuals
Display Options: Toggles the "Stats" dashboard and adjusts volatility coloring.
● Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Neural Trend Engine [JOAT]Neural Trend Engine - Multi-Layer Adaptive Trend Detection
Neural Trend Engine uses a multi-layer filtering approach inspired by neural network concepts. It combines multiple adaptive moving averages with proprietary momentum and volatility weighting to generate trend signals with reduced lag and improved confidence scoring.
Why This Script is Protected
This script is published as closed-source to protect the proprietary signal composition algorithm and the specific weighting methodology from unauthorized republishing. The unique combination of adaptive layer calculations, momentum normalization, and volatility integration represents original work that goes beyond standard indicator implementations.
What Makes This Indicator Unique
Unlike simple moving average crossover systems, Neural Trend Engine:
Uses three Kaufman Adaptive Moving Averages (KAMA) that automatically adjust their smoothing based on market efficiency
Combines layer alignment, momentum, and volatility into a single "neural signal"
Provides signal strength percentages so you know the conviction level of each signal
Creates a visual trend cloud that makes direction immediately obvious
What This Indicator Does
Plots three adaptive moving average "layers" that respond dynamically to market efficiency
Creates a trend cloud between fast and slow layers for visual trend identification
Generates weighted composite signals from layer alignment, momentum, and volatility
Displays buy/sell labels with signal strength percentages
Provides a comprehensive dashboard with multi-component breakdown
Colors the neural line and cloud based on current trend direction
Core Methodology
The indicator employs a three-layer adaptive system where each layer responds to market conditions at different speeds:
Fast Layer (default: 8) — Quick response for short-term direction changes
Medium Layer (default: 21) — Intermediate trend reference
Slow Layer (default: 55) — Long-term trend anchor
Each layer uses efficiency-based adaptation, meaning they become more responsive during trending conditions and smoother during choppy markets.
The neural signal is a proprietary composite that weighs three distinct market components:
Momentum Component (default: 40%) — Measures directional price velocity, normalized to its recent range
Trend Component (default: 35%) — Evaluates alignment between the three adaptive layers
Volatility Component (default: 25%) — Incorporates market volatility state into signal generation
These components are combined using a weighted formula that has been calibrated to balance responsiveness with noise reduction.
Signal Generation
Direction changes occur when the smoothed neural signal crosses a configurable strength threshold:
Bullish — Signal exceeds positive threshold with layer alignment confirmation
Bearish — Signal drops below negative threshold with layer alignment confirmation
Neutral — Signal remains within threshold range, indicating consolidation
Signal strength percentages indicate the conviction level of each signal, helping traders assess trade quality. Higher percentages suggest stronger trend conviction.
Visual Features
Trend Cloud — Filled area between fast and slow layers, colored by trend direction
Neural Line with Glow — Weighted average of all three layers with glow effect
Medium Layer — Subtle white line showing intermediate trend
Signal Labels — BUY/SELL labels with strength percentages at signal points
Small Markers — Alternative triangle markers when labels are disabled
Color Scheme
Bullish Color — Default: #26A69A (teal green) — Used for bullish trends and signals
Bearish Color — Default: #EF5350 (red) — Used for bearish trends and signals
Cloud Fill — 85% transparent version of trend color
Neural Line Glow — 60% transparent version for glow effect
Dashboard Information
The on-chart table (top-right corner) displays:
Current direction (BULLISH, BEARISH, or NEUTRAL)
Neural signal percentage
Layer alignment status (ALIGNED UP, ALIGNED DOWN, or MIXED)
Momentum direction and percentage
Trend strength percentage
Inputs Overview
Neural Layers:
Fast Layer — Period for fast adaptive MA (default: 8, range: 2-50)
Medium Layer — Period for medium adaptive MA (default: 21, range: 5-100)
Slow Layer — Period for slow adaptive MA (default: 55, range: 10-200)
Source — Price source for calculations (default: close)
Sensitivity:
Momentum Weight — Weight for momentum component (default: 0.4)
Trend Weight — Weight for trend/layer alignment (default: 0.35)
Volatility Weight — Weight for volatility component (default: 0.25)
ATR Period — Period for volatility calculations (default: 14)
Visual Settings:
Bullish/Bearish Colors — Customizable color scheme
Show Trend Cloud — Toggle the filled cloud area
Show Signal Labels — Toggle BUY/SELL labels with percentages
Show Neural Line — Toggle the main trend line
Show Dashboard — Toggle the information table
Alerts:
Await Bar Confirmation — Wait for bar close before triggering (recommended)
Min Signal Strength — Threshold for direction changes (default: 0.3 = 30%)
How to Use It
For Trend Following:
Follow the trend cloud color for overall market direction
Enter long when cloud turns bullish (teal) and signal strength is high
Enter short when cloud turns bearish (red) and signal strength is high
Use the neural line as a trailing stop reference
For Signal Trading:
Wait for BUY/SELL labels to appear
Check the signal strength percentage—higher is better
Confirm with dashboard showing aligned layers
Avoid signals during MIXED layer alignment
For Confirmation:
Use Neural Trend Engine to confirm signals from other systems
Strong confirmation when all three layers are aligned
Dashboard shows momentum and trend strength for additional context
Alerts Available
NTE Buy Signal — Bullish direction change detected
NTE Sell Signal — Bearish direction change detected
NTE Direction Change — Any trend direction change
Best Practices
Higher signal strength percentages indicate more reliable signals
Wait for layer alignment (shown in dashboard) before entering trades
Use on higher timeframes for more reliable trend identification
Combine with support/resistance levels for entry timing
This indicator is provided for educational purposes. It does not constitute financial advice. Past performance does not guarantee future results. Always conduct your own analysis and use proper risk management before making trading decisions.
— Made with passion by officialjackofalltrades
TRS (Trend Readiness System)TRS – Trend Readiness System
TRS (Trend Readiness System) is a trend-aligned trading framework designed to help you identify stocks that are becoming ready for entry , not just those already breaking out.
Instead of producing noisy buy/sell signals, TRS evaluates trend quality, pullback structure, momentum rebuilding, and market context , and converts them into clear scores, states, and timing awareness — both on the chart and inside the TradingView Screener.
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Core Philosophy
Strong trends don’t start at the breakout — they start when conditions quietly align.
TRS focuses on:
• Primary trend alignment
• Healthy pullbacks above long-term support
• Early momentum recovery
• Market regime confirmation
• Entry timing (fresh vs late)
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What TRS Measures
1. Setup Score (Trend Quality)
Answers the question: “Is this stock structurally worth watching?”
Based on:
• Price position relative to MA150
• Long-term trend direction
• Higher-low structure
• Distance from MA150 (overextension control)
• Market regime (bullish / bearish)
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2. Entry Score (Timing Quality)
Answers the question: “Is the timing right — or still early?”
Based on:
• Short and mid-term moving averages
• Pullback behavior
• Momentum stabilization
• Volume confirmation
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3. General Score
A combined readiness score used for ranking in the TradingView Screener:
General Score = Setup Score + Entry Score
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Entry State Tracking (Key Feature)
TRS tracks the full entry lifecycle , not just signals:
• Valid Entry
• Pending Entry (almost ready)
• Bars Since Valid Entry
• Entry Window (Fresh / Expired)
• Entry Still Valid (Yes / No)
This helps avoid chasing late or already-played setups.
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Market Regime Filter
Signals automatically adapt to overall market conditions:
• Market trend confirmation (e.g. SPY / QQQ)
• Reduced false signals during weak markets
• Clear explanation when setups are blocked
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Visual Dashboard (Optional)
The on-chart dashboard can display:
• General Score
• Market state
• Setup quality
• Entry status
• Entry window
• Bars since entry
• Blocking reason (if any)
You can switch between:
• Minimal mode – essential info only
• Full table mode – detailed diagnostics
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Screener Integration
TRS exposes clean numeric outputs for the TradingView Pine Screener:
• Setup Score
• Entry Score
• General Score
• Pending Entry (1 / 0)
• Valid Entry (1 / 0)
• Bars Since Valid Entry
• Market Bullish (1 / 0)
Example Screener Filters:
• Setup Score ≥ 50
• Pending Entry = 1
• Bars Since Valid Entry ≤ 3
• Market Bullish = 1
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How to Use TRS (Daily Routine)
Step 1 – Scan
• Look for high Setup Score
• Prefer Pending Entry = 1
Step 2 – Review
• Confirm pullback quality
• Check MA150 support
• Observe momentum rebuilding
Step 3 – Act
• Enter only on Valid Entry
• Avoid expired entry windows
• Skip setups blocked by market regime
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What TRS Is NOT
• Not a breakout chaser
• Not a day-trading system
• Not signal spam
TRS is a decision-support system for swing and position traders who value structure, context, and timing.
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Best Used On
• Daily timeframe (1D)
• Liquid stocks & ETFs
• Trend-following strategies
• Portfolio-level screening
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Trend FilterTrend Filter
Summary
Trend Filter is a multi-factor trend-confidence indicator that produces a simple, actionable output: Direction (Up / Down / Ranging) and a normalized Confidence %. It is intended as a decision-support overlay to help traders quickly identify whether a market is trending or rangebound, and how strong that directional bias is.
What it shows
A single line in the on-chart table: Direction (Up / Down / Ranging).
A Confidence % (0–100) that combines multiple normalized market signals into a single score.
Optional notification row when a manually-selected reference timeframe does not match the chart timeframe.
Alert conditions when direction changes to Up, Down, or Ranging.
How the indicator works (concise, non-proprietary explanation)
Trend Filter computes a weighted confidence score from several complementary components, each normalized to a 0–100 scale and combined into a single confidence value. The components and their roles are:
EMA structure & spread (trend breadth)
-Uses three EMAs (fast / mid / slow) computed at lengths that scale with the selected/reference timeframe. The EMA spread (fast vs slow) quantifies directional separation.
HH/HL structure and streaks (price structure)
-Counts higher highs/higher lows (and the reverse) across a scaled lookback to measure whether price structure is predominantly bullish, bearish or mixed.
EMA slope (momentum of trend)
-A robust slope approximation (smoothed) measures whether the short EMA is rising/falling relative to its own smoothed history.
ADX / DMI (trend strength)
-Uses a standard ADX-style component to capture directional persistence and dampen the confidence score when the ADX is weak.
ATR (volatility context)
-ATR expressed as a percentage of price helps detect abnormal volatility regimes which affect the validity of trend signals.
Volume context
-Simple volume vs a short SMA gives a participation signal that increases confidence when moves occur with higher volume.
Each component is capped to avoid outsized influence. Components are scaled by a set of weights (configurable in code) and then combined. The final confidence is lightly smoothed before being used to determine direction and to feed alert conditions.
Important implementation & safety design choices (why it’s not a simple mashup)
Adaptive timeframe scaling: EMA lengths and lookbacks are proportionally scaled based on the chosen reference timeframe (Auto or manual). This preserves relative indicator behavior across 1-minute → Daily timeframes without manual retuning of each parameter.
HH/HL structure plus streaks: Instead of relying solely on moving averages or ADX, the script explicitly measures price structure (HH/HL counts and streaks) and blends that with slope/ADX. This reduces false trending signals on noisy price action.
Normalized, weighted combination with caps: Each component is normalized (0–100) and combined by predefined weights; cap thresholds prevent extreme component values from dominating the result. This is a design intended to produce interpretable confidence % rather than opaque binary outputs.
History and loop safety: The code enforces a cap and protects loop lengths against available historical bars to avoid runtime errors and to ensure the script remains stable on short data series.
Practical guardrails: The script includes notification behavior to highlight manual timeframe mismatches and avoids dynamic indexing patterns that can cause unreliable results on small bar histories.
These design decisions — adaptive scaling, structural HH/HL scoring, capped normalization and explicit safety limits — are the elements that distinguish Trend Filter from simple, single-indicator overlays (EMA-only, ADX-only, etc.) and form the basis for why closed-source protection is reasonable for commercial/invite-only publication.
User controls & recommended usage
Reference Timeframe: Auto (uses chart TF) or choose a manual reference TF (1min → D). When manual TF is selected, the table shows a mismatch warning if the chart TF differs.
Table placement & colors: Positioning and appearance of the on-chart table are configurable.
Confidence thresholds: The indicator uses internal thresholds to mark high/medium/low confidence. Users can interpret the Confidence % relative to those ranges.
Alerts: Built-in alerts fire only on direction changes (to Up, Down, or Ranging). Use alerts as a signal to review the chart rather than an instruction to trade automatically.
How traders typically use it
Add Trend Filter as an overlay to your chart.
Confirm that the recommended reference timeframe is appropriate (Auto will adjust automatically).
Use Direction and Confidence % together: high Confidence + Up (or Down) suggests staying with trend; Ranging suggests avoiding trend-following entries.
Combine this filter with your entry/exit rules (price structure, support/resistance, or your preferred signal generator).
Disclaimers & limitations
This is a decision-support indicator, not an automated execution strategy. It does not place orders and does not provide P/L or backtesting statistics.
Confidence % is an aggregated measure — treat it as context, not a guarantee.
Results vary across symbols and timeframes; use appropriate position sizing and risk controls.
The code intentionally includes history and loop safeguards; on very short histories the indicator may display conservative results.
Momentum Quality Index (MQI)
Welcome to the Momentum Quality Index! This indicator aims to provide insight into short term trends by measuring the efficiency of price movement relative to the momentum of the trend. This indicator is designed to work better on short term time frames, capturing the micro-level of trends for practices such as day-trading, options trading, and shorter term swing trading.
How to read:
The main way of reading this indicator is through moving average crossovers. Upwards crossovers indicates uptrends whereas downwards crossovers indicates downtrends.
Customization:
This indicator includes a few adjustable options for fine tuning, such as optimized smoothing options and moving average length for efficiency in spotting reversals.
Breadth-Force Oscillator (BFO)Welcome to the Breadth-Force Oscillator! This is a measure of the cumulative volume index relative to price action, and is used for swing trading.
How to read:
This indicator is read primarily through divergences in price, when the BFO is going down that is indicative of an uptrend and when it is going up that is indicative of a downtrend. Changes in the BFO direction give foresight towards shifts in trends.
Features:
This indicator is highly adjustable, and depending on how you adjust it, it may change the results of how you interpret it. This indicator includes multiple smoothing options to reduce noise on smaller time frames and gain more foresight to macro-trends in a given market, and other adjustable features which can be used to further customize.
Trend Break Targets [MarkitTick]Trend Break Targets
Trend Break Targets is a technical analysis tool designed to assist traders in identifying trendline breakouts and projecting potential price targets based on market geometry. Unlike fully automated indicators that guess trendlines, this tool provides you with precise control by allowing you to manually Pivot Point the trendline to specific points in time, while automating the complex math of target projection and structure mapping.
Theoretical Basis & Concepts
This indicator is grounded in classic technical analysis principles found in foundational trading literature. It automates the following methodology:
Drawing a trend line between two key points to represent dynamic support or resistance.
Identifying a breakout when the price closes above or below this line, potentially signaling a change in trend.
Calculating a price target by measuring the vertical distance between the breakout line and the last high/low (pivot), then projecting that same distance in the direction of the breakout.
This concept is based on methods and "Measured Move" theories explained in classic books such as "Technical Analysis of Stock Trends" by Edwards & Magee, "Technical Analysis of the Financial Markets" by John Murphy, and in Thomas Bulkowski's Price Pattern Studies.
How It Works
Pivot Pointed Trendline Construction The script draws a trendline between two user-defined points in time (Start Date and End Date). It calculates the slope between these points and extends the line infinitely to the right, allowing you to define the exact structure (e.g., a resistance trendline on a wedge).
Breakout Detection The script monitors the "Price Source" (High, Low, or Close) relative to the extended trendline.
A Bullish Breakout (BC) occurs when the Close crosses above a bearish trendline.
A Bearish Breakout (BC) occurs when the Close crosses below a bullish trendline.
Dynamic Target Projection (The Math) Upon a confirmed breakout, the script automatically calculates three distinct targets by identifying the most significant "Swing Point" (Pivot) prior to the breakout.
Distance (D): The vertical distance between the Trendline and the Pivot Price at the specific bar where the pivot occurred.
Target 1 (T1): The Breakout Price +/- (Distance × 1.0). This represents a classic 1:1 measured move.
Target 2 (T2): The Breakout Price +/- (Distance × 1.618). Based on the Golden Ratio extension.
Target 3 (T3): The Breakout Price +/- (Distance × 2.618).
Market Structure (CHOCH) The script includes an optional Change of Character (CHOCH) module. This runs independently of the trendline logic, identifying local Swing Highs and Swing Lows based on the "Swing Detection Length." It plots dashed lines and labels to visualize immediate shifts in market structure.
How to Use This Tool
This is an interactive tool that requires user input to define the setup.
Identify a Setup: Locate a clear trend, wedge, or flag pattern on your chart.
Set Pivot Points: Go to the Indicator Settings. Input the exact Start Date and End Date corresponding to the two main touches of your trendline.
Monitor for Breakout: The script will extend the line. Wait for a "BC" label to appear.
Trade Management: Once "BC" prints, the T1, T2, and T3 lines will instantly render. These can be used as potential take-profit zones or areas to tighten stop-losses.
Settings & Configuration
Indicator Settings
Start/End Date: The timestamp Pivot Points for your trendline.
Price Source: Determines what price (High or Low) Pivot Points the line and triggers the breakout.
Pivot Left/Right: Adjusts the sensitivity for finding the "Pivot Before Break" used for target calculations.
Extend Target Line: How far forward the target lines are drawn.
Visual Style
Colors: Fully customizable colors for the Trendline, Breakout Labels, and each Target level (T1, T2, T3).
Gold Bullish Reversal
This analysis dissects a confirmed bullish reversal on Gold using a custom Trend Break system. The setup identifies a transition from a bearish corrective phase to bullish momentum, validated by a structural break and a geometric target projection.
Trend Identification (The Pivot Points) The descending white trendline serves as the primary dynamic resistance, defining the bearish correction.
Pivot Points: The line is drawn connecting two significant swing highs, marked by Label 1 and Label 2.
Logic: These points represent the "lower highs" characteristic of the previous downtrend. As long as price remained below this trajectory, the bearish bias was intact.
The Trigger: Breakout & Confirmation The transition occurs at the candle marked BC (Breakout Candle).
Breakout Criteria: The indicator logic dictates that a signal is only valid when the bar closes above the trendline. This filters out intraday wicks and ensures genuine buyer commitment.
CHOCH Confluence: Immediately following the breakout, a CHOCH (Change of Character) label appears. This signals a shift in market structure, indicating that the internal lower-high/lower-low sequence has been violated, adding probability to the reversal.
Target Projection: The Measured Move The vertical green lines (T1, T2) represent profit objectives derived from the depth of the prior move. The logic calculates the distance between the breakout line and the lowest pivot prior to the break.
T1 (Standard Target): This is a 1:1 projection of the pre-breakout volatility. We see price action initially stalling near this level, confirming it as a zone of interest.
T2 (Golden Ratio Extension): The second target is calculated as the initial distance multiplied by 1.618 (Fibonacci Golden Ratio). The chart shows the price rallying aggressively through T1 to tap the T2 zone, often considered an exhaustion or major take-profit level in harmonic extensions.
Conclusion Gold has successfully invalidated the 4-hour bearish trendline. The confluence of a confirmed close above resistance (BC) and a structural shift (CHOCH) provided a high-probability long setup. The price has now fulfilled the T2 (1.618) extension, suggesting traders should watch for consolidation or a reaction at this key Fibonacci resistance level.
Bearish Trendline Breakdown
The image displays a Bearish Trendline Breakdown on the Gold (XAUUSD) 4-hour chart. The indicator is actually functioning in "Low" mode here (connecting swing lows to form support), which triggers the bearish logic found in the code. Here is the step-by-step breakdown:
The Setup: Pivot Points & Trendline
Visual: The Blue Labels "1" and "2" connected by a white diagonal line.
Code Logic: These are the user-defined start and end points.
Pivot Point 1 (startDate): The starting pivot of the trendline.
Pivot Point 2 (endDate): The ending pivot.
Trendline: The code draws a line between these two points and extends it to the right (extend.right). In this specific image, the line acts as a Support Trendline.
The Trigger: Break Candle (BC)
Visual: The Red Label "BC" appearing just below the white trendline.
Code Logic: This is the execution signal. The code detects a "Down Break" (dnBreak) because the Price Source was likely set to "Low" and the candle's Close was lower than the Trendline Price at that specific bar (close < currLinePrice). This confirms the support level has been breached.
The Projection: Targets (T1 & T2)
Visual: The Green Labels "T1" and "T2" with dotted horizontal lines projected downward.
Code Logic: These are profit targets based on a "Measured Move."
Pivot Calculation: The script looks back for a recent "Pivot High" (the peak before the crash) to calculate the volatility/distance (dist) between that peak and the trendline.
T1 (Conservative): The price is projected downward by 1x that distance (currLinePrice - dist).
T2 (Extended): The price is projected downward by 1.618x that distance (Golden Ratio extension).
Market Context: CHOCH
Visual: The small Red/Orange "CHOCH" labels appearing above the price action.
Code Logic: This is a secondary confirmation system running independently of the trendline. It detects a Change of Character (structural shift). The red labels indicate a "Bearish CHOCH," meaning the price broke below a significant prior swing low (last_swing_low). This supports the bearish bias of the trendline break.
Disclaimer This tool is for educational and technical analysis purposes only. Breakouts can fail (fake-outs), and past geometric patterns do not guarantee future price action. Always manage risk and use this tool in conjunction with other forms of analysis.
NY Session Vol Entries (RB Trading)NY Session Vol Entries (RB Trading)
NY Session Vol Entries is an intraday analysis script designed to evaluate price behavior during U.S. market hours on the one hour chart. It focuses on the interaction between relative volume expansion, adaptive volatility structure, and directional momentum alignment to help users interpret active market conditions.
The script is intended specifically for liquid U.S. equities during the New York session and is not designed for use outside this context.
Intended Usage and Scope
• Timeframe: 1 hour only
• Market hours: New York session
• Asset class: U.S. equities with consistent volume
• Style: Intraday structure and momentum evaluation
• Alerts: Available for all signal types
Core Framework
The script evaluates market behavior through three interdependent components that must align before a setup is displayed:
Relative volume behavior
Volatility expansion and contraction
Directional momentum context
This structure helps filter low-participation periods and reduce noise.
Relative Volume Analysis
The script compares current volume to a rolling 14-period average to identify periods where participation meaningfully deviates from typical conditions.
Elevated volume often occurs during session opens or active repricing phases. When volume remains muted, the script suppresses signals to avoid low-quality environments.
Adaptive Volatility Structure
Volatility bands are calculated using an 8-period true range measurement. These bands adjust dynamically based on recent volatility rather than remaining static.
During elevated participation, the bands compress to reflect tighter price acceptance. As volatility expands, the bands trail price to help visualize directional structure.
Directional Momentum Context
Directional context is determined using a dual moving average relationship.
• When short-term momentum is above longer-term momentum, the script allows only bullish evaluations
• When short-term momentum is below longer-term momentum, the script allows only bearish evaluations
This alignment reduces counter-directional signals and helps maintain structural consistency. The filter can be disabled if users wish to study range behavior.
Signal Classification
The script displays two types of informational labels:
Volume-Aligned Signals
These appear only when directional momentum and relative volume expansion align at candle close.
Momentum Rotation Signals
These indicate directional shifts regardless of volume and are intended to provide context rather than standalone triggers.
All signals are confirmed only after the candle closes. No intrabar logic is used.
Stop and Target Reference Plotting
When conditions align, the script plots visual reference levels:
• A stop reference positioned beyond the momentum structure
• A projected target reference calculated using a fixed 2R multiple relative to the stop distance
These levels are provided for consistency and planning. They are not forecasts or guarantees.
Session and Timing Considerations
The script is designed specifically for New York market hours. Liquidity and participation outside this window often distort volume and volatility behavior.
Earnings sessions should be treated with caution, as event-driven price action can override normal structural behavior.
Opening Range Consideration
The first one hour candle of the New York session can display elevated volatility due to initial repricing. Allowing additional candles to form may provide clearer structural information before evaluating signals.
Why One Hour and New York Session
The one hour timeframe balances structure and responsiveness while reducing lower-timeframe noise. New York trading hours provide the most reliable volume profile for U.S. equities, making relative volume analysis more meaningful.
Settings Overview
• Volatility period: 8
• Volatility multiplier: 3.0
• Volume average period: 14
• Momentum averages: 8 and 21
• Trend filter: Enabled by default
• Alerts available for all signal types
Chart Usage Guidelines
• Use the script on a clean chart
• Avoid stacking additional momentum or volume indicators
• Drawings should only be used when they help interpret structure
Important Notes
This script analyzes historical price and volume behavior. It does not predict future price movement or ensure outcomes. Users should test the tool, understand its logic, and apply independent risk management.
Trend Fusion Indicator🎯 Trend Fusion Indicator🎯
Professional trading indicator combining EMA momentum with Supertrend volatility for high-probability signals.
📊KEY FEATURES:
• 9 EMA & Supertrend (10,3) crossover signals
• Visual trend direction with colored fills
• Buy/Sell arrows at crossover points
• Real-time trend tracking
• Clean, professional interface
⚡SIGNAL LOGIC:
✅ BUY: When EMA crosses ABOVE Supertrend
✅ SELL: When EMA crosses BELOW Supertrend
🎨VISUAL INDICATORS:
• Green Zone/Fill: Bullish trend (EMA > Supertrend)
• Red Zone/Fill: Bearish trend (EMA < Supertrend)
• Triangle Arrows: Entry signals
• Background Colors: Trend confirmation
⚙️CUSTOMIZABLE SETTINGS:
• EMA Length (Default: 9)
• Supertrend ATR Length (Default: 10)
• Supertrend Factor (Default: 3.0)
🔔ALERTS INCLUDED:
• Buy Alert: EMA crosses above Supertrend
• Sell Alert: EMA crosses below Supertrend
📈 BEST FOR:
• Swing Trading
• Day Trading
• Trend Following
• Market Reversals
⚠️ DISCLAIMER: This indicator is for educational purposes only.
Trading involves risk. Not financial advice. Use at your own risk.
Short-Term Bubble Risk [Phantom] Short-Term Bubble Risk
Concept
This indicator visualizes short-term market risk by measuring how far price is stretched relative to its recent weekly trend.
Instead of focusing on absolute price levels, it looks at price behavior.
A similar reading means similar market conditions, whether price is high or low.
The goal is to help identify areas of potential accumulation and potential distribution in a clear, visual way.
How It Works
The indicator compares the weekly closing price to a weekly moving average and displays the deviation as a histogram.
When price is far below its average, risk is considered lower
When price is far above its average, risk is considered higher
The zero line represents fair value, where price equals its weekly average.
Features
Color-coded histogram showing short-term risk levels
Designed to work across different assets and price ranges
Optional bar coloring on the main chart using weekly risk data
Safe to use on any timeframe (risk is calculated on weekly data)
Settings
# Moving Average Length (Weeks):
Adjusts how sensitive the indicator is to price changes
# Color Visibility Toggles:
Allows hiding or showing specific risk zones
# Bar Coloring:
Option to color chart candles based on weekly risk levels
Usage
This indicator is best used as a risk lens, not a timing tool.
Common uses include:
Identifying potential accumulation zones during weakness
Spotting overextended conditions during strong moves
Comparing short-term risk across different assets
Adding context to trend-following or DCA strategies
Trade Ideas
# Lower-risk zones (cool colors):
Can support accumulation or patience during downtrends
# Higher-risk zones (warm colors):
Can signal caution, reduced exposure, or profit-taking
Always combine with:
Trend direction
Market structure
Higher-timeframe context
Limitations
This indicator does not predict tops or bottoms
High risk can remain high during strong trends
Low risk does not guarantee immediate reversals
It should not be used as a standalone trading system.
Disclaimer
This indicator is for educational and informational purposes only.
It is not financial advice.
Always do your own research and manage risk appropriately.
Trend detection zero lag Trend Detection Zero-Lag (v6)
Trend Detection Zero-Lag is a high-performance trend identification indicator designed for intraday traders, scalpers, and swing traders who require fast trend recognition with minimal lag. It combines a zero-lag Hull Moving Average, slope analysis, swing structure logic, and adaptive volatility sensitivity to deliver early yet stable trend signals.
This indicator is optimized for real-time decision-making, particularly in fast markets where traditional moving averages react too slowly.
Core Features
🔹 Zero-Lag Trend Engine
Uses a Zero-Lag Hull Moving Average (HMA) to reduce lag by approximately 40–60% versus standard moving averages.
Provides earlier trend shifts while maintaining smoothness.
🔹 Multi-Factor Trend Detection
Trend direction is determined using a hybrid engine:
HMA slope (momentum direction)
Rising / falling confirmation
Swing structure detection (HH/HL vs LH/LL)
ATR-adjusted dynamic sensitivity
This approach allows fast flips when conditions change, without excessive noise.
Adaptive Volatility Sensitivity
Sensitivity dynamically adjusts based on ATR relative to price
In high volatility: faster reaction
In low volatility: smoother, more stable trend state
This ensures the indicator adapts across:
Trend days
Range days
Volatility expansion or contraction
Trend Duration Intelligence
The indicator tracks historical trend durations and maintains a rolling memory of recent bullish and bearish phases.
From this, it calculates:
Current trend duration
Average historical duration for the active trend direction
This helps traders gauge:
Whether a trend is early, mature, or extended
Probability of continuation vs exhaustion
Strength Scoring
A normalized Trend Strength Score (0–100) is calculated using:
Zero-lag slope magnitude
ATR normalization
This provides a quick read on:
Weak / choppy trends
Healthy trend continuation
Overextended momentum
Visual Design
Color-coded Zero-Lag HMA
Bullish trend → user-defined bullish color
Bearish trend → user-defined bearish color
Designed for dark mode / neon-style charts
Clean overlay with no clutter
Trend Detection Zero-Lag is built for traders who need:
Faster trend recognition
Adaptive behavior across market regimes
Structural confirmation beyond simple moving averages
Clear, actionable visual signals
Open Range BreakoutOpen Range Breakout (ORB)
The Open Range Breakout (ORB) is a classic intraday strategy used across stocks, indices, FX and futures. It focuses on how price behaves during the first minutes of a major session, when liquidity and volatility are highest.
This indicator fully automates the ORB process with session detection, box drawing, breakout & retest logic, and final Buy/Sell signals.
Multi-Session Support
Choose between the three most important global opens:
Asia (Tokyo) – JPY pairs, Asian indices, gold, crypto
London – FX majors, European indices, strong volatility
New York – US indices, USD pairs, gold, oil, highest volume
The Opening Range is calculated only during the selected session.
ORB Range (5 / 15 / 30 min)
The indicator builds the ORB High/Low from the first X minutes of the session, draws the box, and waits for price action once the range is complete.
How It Works
ORB Window → High/Low of the opening minutes are recorded.
Breakout → Price closes above/below the ORB → “BREAKOUT” label.
Retest → Price returns to the ORB box → “RETEST” label.
Confirmation Levels Freeze → Upper/lower structure set.
Final Signal
Close above frozen upper level → BUY
Close below frozen lower level → SELL
This filters out false breakouts and provides structured continuation signals.
Alerts
Includes built-in alert conditions for:
ORB BUY Signal
ORB SELL Signal
Alerts trigger exactly when the Buy or Sell label appears.
Works On
Stocks & indices
Forex
Futures
Moving Average Channel Breakout (No Repaint) This indicator creates a channel using two simple moving averages: SMA of highs (upper line) and SMA of lows (lower line).
How it works:
- When a candle closes above the upper channel line, the following candles turn green (bullish trend)
- When a candle closes below the lower channel line, the following candles turn red (bearish trend)
- The trend color remains until a breakout in the opposite direction occurs
Anti-repaint:
This indicator does NOT repaint. The candle color is determined at the open, based on the previous candle's close. Once a candle opens with a color, that color never changes.
Breakout strategy:
- Candle opens green → Long entry signal
- Candle opens red → Short entry signal
The signal and entry moment are perfectly synchronized at the candle open, making it ideal for systematic breakout strategies.
Multi-TF EMA(20) — JcsatasiyaOverview
This indicator plots 7 multi-timeframe EMA(20) lines on any chart and displays a clean dynamic label for each EMA showing:
Full timeframe name (Yearly, Half-Yearly, Quarterly, Monthly, Weekly, etc.)
EMA(20) value formatted with exactly 2 decimals
A label that is positioned automatically to the right of the latest candle
White text for maximum readability
Color-coded lines for each timeframe
All EMA lines extend horizontally and update in real-time when new candles form on the selected timeframes.
✅ Key Features
• 7 Custom Timeframes
Choose any timeframe for each EMA (Yearly, 6-Month, 3-Month, Monthly, Weekly, Daily, 4H, etc.)
• Horizontal EMA Levels
Each EMA is drawn as a fixed horizontal level, making structure and bias easier to analyze.
• Dynamic Label Placement
Labels automatically position:
Horizontally: Left, Middle, or Right of the right-side future area
Vertically: Above, Middle, or Below the EMA line
• Clean Readable Labels
Always white text
Shows: EMA (20) – Timeframe Price: 123.45
Price always displays with 2 decimals
Label style auto-adjusts based on position
• Color Customization
Each timeframe EMA has its own color picker.
• All EMA Thickness Unified
Set one line thickness for all EMA lines.
• Reliable Multi-TF Accuracy
Uses request.security() with proper lookahead handling.
⭐ Why This Indicator Is Useful
This tool makes it extremely easy to visualize where your chart sits relative to major multi-timeframe EMA levels.
You immediately see:
Higher-timeframe trend direction
Bias zones
Key support/resistance EMA levels
Long-term vs short-term trend alignment
Price interaction with institutional EMAs
Perfect for day traders, swing traders, and position traders.
📘 HOW TO USE
1️⃣ Add to Chart
After adding the indicator, open the Settings → Inputs panel.
2️⃣ Choose the 7 Timeframes
For each slot, select your desired timeframe (example setup):
Yearly
Half Yearly
Quarterly
Monthly
Weekly
Daily
4H
3️⃣ Customize Colors
Pick a different color for each EMA for clarity.
4️⃣ Choose Label Placement
Use the label position controls:
Vertical: Upper / Middle / Below
Horizontal: Left / Middle / Right (relative to right-side future space)
5️⃣ Adjust Line Thickness (Optional)
A single slider controls the thickness of all 7 EMAs.
📝 NOTES
The indicator places labels 2–50 bars into the future depending on chosen position.
Labels are always visible and readable due to white text.
EMA values always show exactly two decimals, even for crypto, indices, and forex.
Works on any market and any chart timeframe.
MA Strength Indicator EnhancedThe "MA Strength" is an indicator that measures market trend strength or (in the case of forex pairs) the relative strength of individual currencies based on up to five different moving averages (MA). It offers multiple calculation methods, such as simple summation, normalized value, or measuring ATR/percentage distance from the price. The results are summarized in a clear table, and it provides customizable alerts for trend changes or shifts in currency strength. The high level of configurability (e.g., MA weighting, "all MA alignment" requirement) allows for fine-tuning the strategy.
💬 Interpreting the Table (Top Rows)
The top row of the table shows the final output of the indicator. This changes according to the set "Table Mode".
Trend Mode: The top row shows the final, aggregated trend status (e.g., "BULLISH", "NEUTRAL") and the corresponding "Trend Value". This is the value the indicator compares to its thresholds.
Forex Mode: (Only on 6-character pairs): The top two rows show the strength of the Base currency and the Quote currency separately.
Calculation of the top rows:
The indicator calculates the individual score of all active MAs (according to the chosen method).
Trend Value: This is the final value calculated from the scores.
If "Enable Averaging" is ON, this will be the average of the scores (e.g., MA1 score is 5.0, MA2 score is 7.0 -> Trend Value is 6.0).
If averaging is OFF, this will be the sum of the scores (e.g., 5.0 + 7.0 = 12.0).
Forex Calculation: "Forex Mode" uses this "Trend Value". If the Trend Value is +6.0 (on an EURUSD pair):
The Base currency (EUR) value will be +6.0.
The Quote currency (USD) value will be -6.0.
The indicator compares these values to the thresholds to determine the "STRONG" status for EUR and "WEAK" status for USD.
📊 Calculation Methods
The indicator can calculate trend strength using 5 methods. The final "Trend Value" is derived from the results of these calculations.
Sum:
Description: Simply adds up the individual scores of all enabled moving averages (MA).
Formula: If the price is above an MA, it gets the "Score Above" value (e.g., +2.0); if below, it gets the "Score Below" value (e.g., -2.0).
Example: Result = (MA1 score) + (MA2 score) + ...
Normalized:
Description: Takes the sum obtained by the "Sum" method and converts it to a scale between -100% (maximally bearish) and +100% (maximally bullish). It takes into account the maximum possible positive and negative scores.
Formula: Result = (Total Score / Max Possible Score) * 100
Percentage Distance:
Description: This method also considers distance. The further the price is from the MA in percentage terms, the higher the score.
Formula: MA Score = (|Close Price - MA| / MA * 100) * Weight (The "Weight" is the "Score Above/Below" value set in settings).
ATR Distance:
Description: Similar to percentage distance, but normalizes the distance using volatility via ATR (Average True Range).
Formula: MA Score = (|Close Price - MA| / ATR) * Weight
Candle Count:
Description: Counts how many consecutive candles have been above or below the MA. It multiplies this number by the set weight.
Formula: MA Score = (Number of consecutive candles) * Weight
⚙️ Settings Options
Moving Averages (MA 1-5)
For each moving average, you can set:
Enable MA: Turn the specific MA on or off.
Type: The type of moving average (SMA, EMA, WMA, etc.).
Period: The period of the MA (e.g., 50, 200).
Score Above / Below: The most important setting. This defines the "weight" of the MA in the calculation. In "Sum" mode, this is a fixed score; in distance-based modes, this is a multiplier (weight). It is advisable to write a positive number for "Score Above" and a negative number for "Score Below".
Calculation Settings
Enable Averaging: If this is on, the indicator shows the average of the active MA scores, not the total score.
Exception: This function is not available in "Normalized" mode.
Require All MA Alignment: This is a strict filter. If enabled, the indicator only gives a "BULLISH" (or "STRONG") signal if the price is above all enabled moving averages. Similarly, a "BEARISH" signal only occurs if the price is below all moving averages. If the price is on the opposite side of even just one MA (e.g., above 4, below 1), the status becomes "NEUTRAL", regardless of the scores.
Strength / Trend Thresholds
Enable Extra Levels: If active, statuses are expanded: "EXT. BULLISH" / "EXT. BEARISH" (Trend mode) or "EXT. STRONG" / "EXT. WEAK" (Forex mode). This indicates stronger, overbought/oversold conditions.
Threshold setting: The thresholds (e.g., "Strong Above - ATR") determine when the calculated value counts as a "STRONG" or "WEAK" status.
🔢 Setting Thresholds via Calculation
If "Enable Averaging" is OFF, the "Trend Value" shown in the table will be the sum of the individual MA scores. Therefore, we must define the threshold by adding up the minimum expected performance from each moving average. This allows us to set different expectations for short, medium, and long-term averages.
Step 1: Determine MA weights
In our example, we use 3 active MAs with the following weights (Score Above values):
MA1 (Short): Weight = +2
MA2 (Medium): Weight = +3
MA3 (Long): Weight = +4
Step 2: Determine the minimum expected distance
Define a minimum distance expected from each MA to trigger a "Strong" signal.
Step 3: Calculate target scores and the final threshold
Note: If "Enable Averaging" is ON, the resulting value (sum of target scores) must be
averaged to get the final threshold.
Example 1: ATR Distance
-Goal: I want a "Strong" signal if the price is...
...at least 1.0 ATR above MA1 (Short),
...at least 1.5 ATR above MA2 (Medium),
...and at least 2.0 ATR above MA3 (Long).
-Calculation (Expected Distance * Weight):
MA1 Target Score: 1.0 * 2 = 2.0
MA2 Target Score: 1.5 * 3 = 4.5
MA3 Target Score: 2.0 * 4 = 8.0
-Final Threshold (Sum of Target Scores): 2.0 + 4.5 + 8.0 = 14.5
-Setting: Set "Strong Above - ATR" threshold to 14.5.
If "Enable Averaging" is ON, the obtained value must be averaged, and the result will be the
threshold: 4.8 (14.5 / 3 = 4.83).
Example 2: Percentage Distance
-Goal: I want a "Strong" signal if the price is...
...at least 0.5% above MA1,
...at least 1.0% above MA2,
...and at least 1.5% above MA3.
-Calculation (Expected Distance * Weight):
MA1 Target Score: 0.5 * 2.0 = 1.0
MA2 Target Score: 1.0 * 3.0 = 3.0
MA3 Target Score: 1.5 * 4.0 = 6.0
-Final Threshold (Sum): 1.0 + 3.0 + 6.0 = 10.0
-Setting: Set "Strong Above - Percentage" threshold to 10.0.
If "Enable Averaging" is ON, the obtained value must be averaged, and the result will be the
threshold.
Example 3: Candle Count
-Goal: I want a "Strong" signal if...
...at least 3 consecutive candles are above MA1,
...at least 5 consecutive candles are above MA2,
...and at least 10 consecutive candles are above MA3.
-Calculation (Expected Candle Count * Weight):
MA1 Target Score: 3 * 2.0 = 6.0
MA2 Target Score: 5 * 3.0 = 15.0
MA3 Target Score: 10 * 4.0 = 40.0
-Final Threshold (Sum): 6.0 + 15.0 + 40.0 = 61.0
-Setting: Set "Strong Above - Candle" threshold to 61.0.
If "Enable Averaging" is ON, the obtained value must be averaged, and the result will be the
threshold.
Example 4: Sum
In this mode, distance does not matter, only whether the price is above or below the MA.
-Goal: "Strong" signal if the price is above the long-term averages, but can be below the short-term (MA1).
MA1 (Short): Can be below (Weight: -2.0)
MA2 (Medium): Must be above (Weight: +3.0)
MA3 (Long): Must be above (Weight: +4.0)
-Calculation: -2.0 + 3.0 + 4.0 = 5.0
-Setting: Set "Strong Above - Sum" threshold to 5.0.
If it must be above all three moving averages, the threshold would be 2.0 + 3.0 + 4.0 = 9.0.
If "Enable Averaging" is ON, the obtained value must be averaged, and the result will be the
threshold.
Example 5: Normalized
The basic logic is similar to the "Sum" method.
-Goal: "Strong" signal if price is above MA2 and MA3, but potentially below MA1.
-Calculation: Target Sum: 5.0. Max Possible Score (above all): 9.0.
-Threshold: (5.0 / 9.0) * 100 = 55.5
In this calculation method, averaging cannot be set.
The Usage of the "ATR %" Row
The "ATR %" row shows the percentage movement of an average candle.
How to use this with "Percentage Distance" mode:
This number gives a baseline. It helps decide if the "Percentage Distance" threshold is realistic.
Example: You see the "ATR %" value is hovering around 1.2%. This means a "normal" candle moves about 1.2%.
If you set the Percentage threshold to 0.5%, it is too low. The indicator will constantly give a "Strong" signal because even average movement (noise) exceeds the threshold.
Correct Usage: If "normal" movement is 1.2%, then a "strong" movement (trend) needs to be significantly larger. For example, set the threshold to double the ATR %: 2.4 (2 * 1.2). Thus, you only get a "Strong" signal if the movement is twice the average volatility.
Supplementary Information
Rounding Differences:
The numbers displayed in the table and the precision of calculations in the background differ.
Table Display: The indicator rounds numbers to two decimal places in the table. So, if the value is 0.996, the table shows 1.00 (rounded up).
Internal Calculation: The background calculation uses much higher precision. When determining status (STRONG vs NEUTRAL), the program compares the precise, unrounded value to the threshold.
Result: Due to rounding, it may happen that if the threshold is 1.00 and the table shows 1.00, the status flickers between Strong and Neutral. If this is bothersome, it is advisable to set a slightly lower threshold (e.g., 0.98).
🔔 Alert Settings
The indicator can send alerts when the status changes.
Alert Method:
Trend: Alerts when the main trend status changes (e.g., from "NEUTRAL" to "BULLISH"). You can specify which direction to alert for (e.g., only "BULLISH").
Forex: Works only on 6-character forex pairs. You can set separate alerts for the Base or Quote currency.
Forex Strength Level: You can specify at which status level to alert (e.g., "WEAK" or "EXT. STRONG").
📈 Trading Tips
Trend Confirmation: Use the "BULLISH" / "BEARISH" status to confirm your existing strategy (e.g., breakouts, bounces off support).
Forex Pairing: In Forex mode, look for pairs where the Base currency is "STRONG" and the Quote currency is "WEAK" (or "EXT. STRONG" / "EXT. WEAK") for a long position.
Short Position: Reverse the above (Base: WEAK, Quote: STRONG).
BT MA BandsThe BT MA Bands indicator is built around a central moving average (MA) with upper and lower bands derived from it, similar to Bollinger Bands but focused on exponential moving averages (EMAs) for smoother responsiveness.
The core idea is to visualize trend strength, volatility squeezes, and potential reversal points through dynamic bands that expand/contract based on price deviation. It includes trend-based color fills, entry/exit signals, an optional ATR (Average True Range) overlay for additional volatility bands, and flexible MA source options to adapt to different market conditions.
Inputs
MA Type and Length: Choose from EMA (default), SMA, WMA, or HMA. Default length is 20 periods, but adjustable (e.g., 10-50) for short-term scalping or longer swings.
Deviation Multiplier: Sets the band width as a multiple of the standard deviation from the MA (default: 2.0). Higher values create wider bands for trending markets; lower for ranging ones.
Source Data: Select price source for the MA calculation—close (default), open, high, low, (high+low)/2, or weighted (hlc3/hlcc4) to emphasize different aspects of price action.
ATR Toggle and Multiplier: Optional ATR-based outer bands (default off). When enabled, multiplier (default: 1.5) adds volatility sensitivity, helping filter noise in choppy conditions.
Signal Sensitivity: Threshold for generating buy/sell alerts (e.g., 0-100 scale; default 50) based on band crossovers or squeezes.
Style Options: Enable/disable fills, signals, and colors for personalization.
Visual Elements
Central MA Line: A solid line (e.g., blue by default) representing the chosen moving average, acting as the baseline.
Upper and Lower Bands: Dotted or dashed lines (green/red defaults) that flank the MA, widening during volatility and narrowing in consolidations.
Color-Changing Fills: The area between bands fills with color shifts—bullish (green) when price is above the MA and bands are expanding, bearish (red) when below and contracting, or neutral (gray) during flat trends.
Entry Signals: Arrow plots (up green for bullish, down red for bearish) appear on the chart when price crosses the bands or a squeeze resolves, with optional text labels like "Buy" or "Sell."
ATR Overlay (if enabled): Additional dashed outer bands in a lighter color (e.g., purple) to highlight extreme volatility zones.
How to Use It in Trading
Trend Identification: Use the central MA and band fills to gauge direction—price above the MA with green fills signals an uptrend (favor longs); below with red indicates downtrends (favor shorts). Narrow bands suggest a "squeeze" setup, often preceding big moves.
Entry Points:
Bullish Entries: Enter long when price breaks above the upper band on a bullish signal arrow, especially after a squeeze. Confirm with volume spike or RSI >50 on timeframes like 5m-1h for quick trades.
Bearish Entries: Enter short on a break below the lower band with a bearish arrow, post-squeeze. Ideal on 4h+ frames for swings, paired with MACD crossovers.
Exits and Risk Management: Exit longs when price hits the lower band or a bearish signal fires; vice versa for shorts. Set stops just beyond the opposite band (e.g., below lower for longs). Target 1.5-3x risk-reward, using ATR bands for trailing stops in volatile markets.
General Tips: Best in trending environments; avoid during news events causing false breakouts. Backtest parameters on historical data, and combine with other indicators like RSI or volume for confluence. It's great for spotting reversals but not infallible—always apply position sizing and monitor for band "walks" (price hugging one band) as continuation signals.
[GYTS-Pro] Market Regime Detector🧊 Market Regime Detector (Professional Edition)
🌸 Part of GoemonYae Trading System (GYTS) 🌸
🌸 --------- INTRODUCTION --------- 🌸
💮 What is the Market Regime Detector?
The Market Regime Detector (Pro) is an elite, consensus-based market state analyzer designed to filter noise and identify the true underlying market structure. By distinguishing between trending (bullish or bearish) and cyclic (range-bound) market conditions with high precision, this detector acts as the "brain" of your trading system. Instead of forcing a single strategy across incompatible market conditions, the detector empowers you to deploy the right tactic at exactly the right time.
💮 The Importance of Market Regimes
Markets constantly shift between different behavioural states or "regimes":
• Bullish trending markets - characterised by sustained upward price movement
• Bearish trending markets - characterised by sustained downward price movement
• Cyclic markets - characterised by range-bound, oscillating behaviour
Each regime requires fundamentally different trading approaches. Trend-following strategies excel in trending markets but fail in cyclic ones, while mean-reversion strategies shine in cyclic markets but underperform in trending conditions. However, detecting these regimes is easier said than done, and we have gone through hundreds of hours of testing to create the Market Regime Detector, using multiple very sophisticated methods in an easy-to-use indicator.
💮 Professional vs Community Edition
The Market Regime Detector comes in two versions: a comprehensive Professional Edition and a streamlined Community Edition.
Key advantages of the Professional Edition:
• Enhanced detection accuracy - Utilises 5 advanced detection methods (compared to only 2 in the CE version)
• Proprietary cycle measurement - Automatically detects the market's dominant cycle instead of requiring manual input
• Superior consensus mechanism - Includes a unique "strength-weighted decision" mode that gives more influence to stronger signals
• Reduced false signals - Multiple complementary methods working together provide more reliable regime identification
• Advanced DSP algorithms - Implements sophisticated digital signal processing techniques for superior market analysis
The Professional Edition delivers significant improvements in detection accuracy, signal stability, and overall trading performance.
🌸 --------- KEY FEATURES --------- 🌸
💮 Consensus-Based Detection
Rather than relying on a single method, our detector employs multiple complementary detection methodologies that analyse different aspects of market behaviour:
• Advanced digital signal processing techniques
• Volatility and momentum analysis
• Adaptive filters and mathematical transformations
• Cycle identification
• Channel breakout detection
These diverse perspectives are synthesised into a robust consensus that minimises false signals while maintaining responsiveness to genuine regime changes.
💮 Proprietary Dominant Cycle Measurement ( Pro Edition only )
At the heart of our Professional Edition detector is a proprietary dominant cycle measurement system that automatically and adaptively identifies the market's natural rhythm. This system provides a stable reference framework that continuously adapts to changing market conditions while avoiding the erratic behaviour of typical cycle-finding algorithms like Hilbert Transforms, Discrete Fourier Transforms, or autocorrelation measurements.
Unlike the Community Edition which requires manual input of a single, constant dominant cycle period, the Professional Edition automatically detects and continuously adapts this critical parameter. This automated and adaptive approach ensures optimal detection accuracy across different markets and timeframes without requiring user expertise in cycle analysis, and provides significantly better responsiveness to evolving market conditions.
💮 Intuitive Parameter System
We've distilled complex technical parameters into intuitive controls that traders can easily understand:
• Adaptability - how quickly the detector responds to changing market conditions
• Sensitivity - how readily the detector identifies transitions between regimes
• Consensus requirement - how much agreement is needed among detection methods
This approach makes the detector accessible to traders of all experience levels while preserving the power of the underlying algorithms.
💮 Visual Market Feedback
The detector provides clear visual feedback about the current market regime through:
• Colour-coded chart backgrounds (purple shades for bullish, pink for bearish, yellow for cyclic)
• Colour-coded price bars
• Strength indicators showing the degree of consensus
• Customisable color schemes to match your preferences or trading system
💮 Integration in the GYTS suite
What is of paramount importance, is that the Market Regime Detector is compatible with the GYTS Suite , i.e. it passes the regime into the Order Orchestrator where you can set how to trade the trending and cyclic regime. The intention is to integrate it with more indicators.
🌸 --------- CONFIGURATION SETTINGS --------- 🌸
💮 Adaptability
Controls how quickly the Market Regime detector adapts to changing market conditions. You can see it as a low-frequency, long-term change parameter:
• Very Low: Very slow adaptation, most stable but may miss regime changes
• Low: Slower adaptation, more stability but less responsiveness
• Normal: Balanced between stability and responsiveness
• High: Faster adaptation, more responsive but less stable
• Very High: Very fast adaptation, highly responsive but may generate false signals
This setting affects lookback periods and filter parameters across all detection methods.
💮 Sensitivity
Controls the conviction threshold required to trigger a regime change. This acts as a high-frequency, short-term filter for market noise:
• Very Low: Requires overwhelming evidence to identify a regime change.
• Low: Prioritizes stability; reduces false signals but may delay transition detection.
• Normal: Balanced sensitivity suitable for most liquid markets.
• High: Highly responsive; detects subtle regime changes early but may react to market noise.
• Very High: Extremely sensitive; detects minor fluctuations immediately.
Pro Feature Note: In the Strength-Weighted Decision mode, this setting acts as a dynamic calibrator. It not only adjusts individual method thresholds but also scales the global consensus threshold . A 'High' sensitivity lowers the barrier for the weighted consensus, allowing the system to react to early-stage breakouts even if not all methods fully agree yet.
💮 Consensus Mode
Determines how the signals from all detection methods are combined to produce the final market regime:
• Any Method (OR) : Signals bullish/bearish if any method detects that regime. If methods conflict, the stronger signal wins. More sensitive, catches more regime changes but may produce more false signals.
• All Methods (AND) : Signals only when all methods agree on the regime. More conservative, reduces false signals but might miss some legitimate regime changes.
• Weighted Decision : Balances all methods with equal voting rights. Signals bullish/bearish when the weighted consensus reaches a fixed majority (0.5). Provides a middle ground between sensitivity and stability.
• Strength-Weighted Decision ( Pro Edition only ): A "meritocratic" approach where methods reporting extreme confidence (high signal strength) are given proportionally more weight than those reporting weak signals. Unlike standard voting, a single clear signal from a highly reliable method can override indecision from others.
Note: The threshold for this decision is dynamically calibrated by your 'Sensitivity' setting, ensuring the logic adapts to your desired risk profile.
Each mode also calculates a continuous regime strength value that drives the color intensity in the 'unconstrained' display mode, giving you a visual heatmap of trend conviction.
💮 Display Mode
Choose how to display the market regime colours:
• Unconstrained regime: Shows the regime strength as a continuous gradient. This provides more nuanced visualisation where the intensity of the color indicates the strength of the trend.
• Consensus only: Shows only the final consensus regime with fixed colours based on the detected regime type.
The background and bar colours will change to indicate the current market regime:
• Purple shades : Bullish trending market. In 'unconstrained' mode, darker purple indicates a stronger bullish trend.
• Pink shades : Bearish trending market. In 'unconstrained' mode, darker pink indicates a stronger bearish trend.
• Yellow : Cyclic (range-bound) market.
💮 Custom Color Options
The Market Regime Detector allows you to customize the color scheme to match your personal preferences or to coordinate with other indicators:
• Use custom colours: Toggle to enable your own color choices instead of the default scheme
• Transparency: Adjust the transparency level of all regime colours
• Bullish colours: Define custom colours for strong, medium, weak, and very weak bullish trends
• Bearish colours: Define custom colours for strong, medium, weak, and very weak bearish trends
• Cyclic color: Define a custom color for cyclic (range-bound) market conditions
🌸 --------- DETECTION METHODS --------- 🌸
💮 Five-Method Consensus Architecture
The Professional Edition employs a sophisticated multi-stage architecture to determine market regimes with high precision.
The detection process flows through four logical stages:
1. Market Data & Cycle Detection
Price data flows into the system where the Dominant Cycle Detector automatically identifies the market's natural rhythm. This adaptive cycle length calibrates all subsequent calculations, ensuring the detector remains in sync with changing market conditions without manual adjustments.
2. Five Detection Methods
Using the detected cycle, five complementary algorithms independently evaluate the market state:
• Cyclic Centroid Analysis : Calculates the market's 'centre point' over its dominant cycle and measures price displacement to determine trend or equilibrium.
• Spectral Momentum : Measures momentum across the market's frequency spectrum to identify trend concentration.
• Energy Distribution Gauge : Gauges how price movement energy is distributed to flag cyclic or trending states.
• Volatility Channel : Models the market's volatility state, using band breakouts to indicate a trend.
• Phase Coherence Detector : Analyses phase relationships between adaptive low-pass filters to detect trend stability and identify early regime shifts.
3. Consensus Engine
The signals from all five methods are fed into the Consensus Engine. Depending on your configuration, it aggregates these votes using one of four logic modes (Any, All, Weighted, or Strength-Weighted) to filter out noise and confirm the true market regime.
4. Regime Output
The final result is broadcast as a clear market state:
• Bullish (1) : Trending upwards
• Bearish (-1) : Trending downwards
• Cyclic (0) : Range-bound or oscillating
This output drives the visual feedback on your chart and can be streamed directly to the Order Orchestrator for automated strategy switching.
💮 Synergy & Complementarity
What makes these methods powerful is not just their individual sophistication, but how they complement one another:
• Some excel at early detection while others provide confirmation
• Some analyse time-domain behaviour while others work in the frequency domain
• Some focus on momentum characteristics while others assess volatility patterns
• Some respond quickly to changes while others filter out market noise
This creates a comprehensive analytical framework that can detect regime changes more accurately than any single method. All methods utilize the automatically detected and continuously adaptive dominant cycle period, ensuring they remain precisely calibrated to current market conditions without manual intervention.
🌸 --------- USAGE GUIDE --------- 🌸
💮 Starting with Default Settings
The default settings (Normal for Adaptability, Sensitivity, and Consensus) provide a balanced starting point suitable for most markets and timeframes. Begin by observing how these settings identify regimes in your preferred instruments.
💮 Adjusting Parameters
• If you notice too many regime changes → Decrease Sensitivity or increase Consensus requirement
• If regime changes seem delayed → Increase Adaptability
• If a trending regime is not detected, the market is automatically assigned to be in a cyclic state. The majority of methods actually measure this explicitly.
• If you want to see more nuanced regime transitions → Try the "unconstrained" display mode (note that this will not affect the output to other indicators)
💮 Trading Applications
Regime-Specific Strategies:
• Bullish Trending Regime - Use trend-following strategies, trail stops wider, focus on breakouts, consider holding positions longer, and emphasise buying dips
• Bearish Trending Regime - Consider shorts, tighter stops, focus on breakdown points, sell rallies, implement downside protection, and reduce position sizes
• Cyclic Regime - Apply mean-reversion strategies, trade range boundaries, apply oscillators, target definable support/resistance levels, and use profit-taking at extremes
Strategy Switching:
Create a set of rules for each market regime and switch between them based on the detector's signal. This approach can significantly improve performance compared to applying a single strategy across all market conditions. The Pro Edition's multiple detection methods and advanced consensus mechanisms provide more reliable regime transitions, leading to better strategy switching decisions.
GYTS Suite Integration:
• In the GYTS 🎼 Order Orchestrator, select the '🔗 STREAM-int 🧊 Market Regime' as the market regime source
• Note that the consensus output (i.e. not the "unconstrained" display) will be used in this stream
• Create different strategies for trending (bullish/bearish) and cyclic regimes. The GYTS 🎼 Order Orchestrator is specifically made for this.
• The output stream is actually very simple, and can possibly be used in indicators and strategies as well. It outputs 1 for bullish, -1 for bearish and 0 for cyclic regime.
🌸 --------- FINAL NOTES --------- 🌸
💮 Development Philosophy
The Market Regime Detector has been developed with several key principles in mind:
1. Robustness - The detection methods have been rigorously tested across diverse markets and timeframes to ensure reliable performance.
2. Adaptability - The detector automatically adjusts to changing market conditions, requiring minimal manual intervention.
3. Complementarity - Each detection method provides a unique perspective, with the collective consensus being more reliable than any individual method.
4. Intuitiveness - Complex technical parameters have been abstracted into easily understood controls.
💮 Ongoing Refinement
The Market Regime Detector is under continuous development. We regularly:
• Fine-tune parameters based on expanded market data using state-of-the-art Machine Learning techniques
• Research and integrate new detection methodologies
• Optimise computational efficiency for real-time analysis
Your feedback and suggestions are very important in this ongoing refinement process!
Smart Money Concepts [Modern Neon V2]This is a visually overhauled version of the popular Smart Money Concepts (SMC) indicator, designed specifically for traders who prefer Dark Mode, High Contrast, and Maximum Visibility.
While the underlying logic preserves the robust structure detection of the original LuxAlgo script, the visual presentation has been completely modernized. The default "dull" colors have been replaced with a vibrant Cyberpunk Neon palette, and text labels have been significantly upscaled to ensure market structure is readable at a glance, even on high-resolution monitors.
🎨 Visual & Style Enhancements:
Neon Palette:
Bullish: Electric Cyan (#00F5FF)
Bearish: Neon Hot Pink (#FF007F)
Neutral/Levels: Bright Gold (#FFD700)
High Visibility Text: Market Structure labels (BOS, CHoCH, HH/LL) have been upgraded from "Tiny" to Normal size. Key Swing Points (Strong High/Low) are set to Large.
Modern "Solid" Blocks: Order Blocks and FVGs feature reduced transparency (60%) for a bolder, solid look that doesn't get washed out on dark backgrounds.
Decluttered: Removed unnecessary "Small" elements and dotted lines to focus on price action.
🛠 Key Features:
Real-Time Structure: Automatic detection of Internal and Swing structure (BOS & CHoCH) with trend coloring.
Order Blocks: Highlights Bullish and Bearish Order Blocks with new mitigation logic.
Fair Value Gaps (FVG): Auto-threshold detection for high-probability gaps.
Premium & Discount Zones: Automatically plots equilibrium zones for better entry targeting.
Multi-Timeframe Levels: Display Daily, Weekly, and Monthly highs/lows.
Trend Dashboard: (If you added the dashboard code) A clean panel displaying the current Internal and Swing trend bias.
CREDITS & LICENSE: This script is a modification of the "Smart Money Concepts " indicator.
Original Author: © LuxAlgo
License: Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
creativecommons.org
ZynIQ VWAP Master v2 - (Lite Pack)Overview
ZynIQ VWAP Master v2 (Lite) provides a clean, structured view of volume-weighted price action using configurable VWAP bands and session-aware logic. It is designed to help traders identify value zones, mean-reversion conditions and directional bias around the VWAP.
Key Features
• Main VWAP with optional upper and lower bands
• Configurable multipliers for custom deviation levels
• Session-aware VWAP anchoring (daily or continuous, depending on settings)
• Lightweight visual style suitable for intraday and swing charts
• Optional HUD panel for quick context
• Highlights value areas and stretched conditions relative to VWAP
Use Cases
• Identifying when price returns to or deviates from value
• Tracking mean-reversion setups
• Assessing directional bias relative to VWAP
• Combining VWAP context with breakout or momentum analysis
Notes
This tool provides VWAP-based structure and value context. It is not a standalone trading system. Use it with your own confirmation and risk management.
