Volume Bubbles by EV Volume Bubbles visualizes high-activity candles using chart bubbles placed at an estimated intrabar origin point derived from lower timeframe data. When enabled, the script uses lower timeframe OHLC to approximate directional volume delta and selects an origin candle inside the parent bar using one of several methods. A relative-volume filter based on the parent bar can be used to reduce noise, and bubble size can be mapped to relative volume to highlight unusually active bars. If intrabar data is unavailable, the script can fall back to placing bubbles on the parent bar to keep behavior consistent. For best stability, the “Only confirmed bars” option is recommended.
指標和策略
ATH Dip Levels - Crypto Edition with Reactive TPHarika bir fikir! Bu indikatörü toplulukla paylaşırken (TradingView Public Library veya GitHub gibi), insanların stratejinin mantığını ve gücünü anlamaları için etkileyici bir İngilizce açıklama hazırladım.
İşte paylaşımın için kullanabileceğin başlık, özet ve özellikler listesi:
🚀 Indicator Title: ATH Dip Levels - Crypto Reactive Strategy
Overview
This indicator is a specialized "Buy the Dip" and "Reactive Take Profit" system designed specifically for the high volatility of the crypto market. Instead of following lagging indicators, it focuses on the most fundamental metric: Percentage drawdown from the rolling All-Time High (ATH).
It identifies historical discount zones and automatically calculates a "Reactive Take Profit" target for each entry, allowing you to scale out during market bounces.
Key Features
📉 1. Dynamic Buy Zones (DCA Levels)
The script tracks a rolling 220-day ATH and plots 7 distinct discount levels:
Minor Pullbacks: 10%, 20%
Major Corrections: 30%, 40%
Capitulation / Bear Market Bottoms: 55%, 70%, 85% (Highlighted in Neon for max opportunity).
💰 2. Reactive Take Profit (The "Half-Drop" Rule)
This is the core of the strategy. For every buy level triggered, the script automatically sets a "RE-SELL" target based on the severity of the drop:
Logic: The profit target is exactly half of the percentage drop.
Example: If you buy at a 30% dip, the target is a +15% recovery from that entry.
Example: If you buy at a 70% dip, the target is a +35% recovery from that entry. This captures the natural "Dead Cat Bounce" or "Mean Reversion" common in crypto.
🧠 3. Intelligent State Management
Single Trigger per Cycle: Each level triggers only once per ATH cycle to avoid "choppy" market noise.
Automatic Reset: All levels and status flags reset automatically when the price makes a New ATH, preparing you for the next market cycle.
📊 4. Live Status Dashboard
A clean, real-time table on the top-right shows you:
Current ATH price.
Which buy levels have been Hit (✅).
Which profit targets have been Sold (💰).
How to Use
Accumulate: When price hits a green "BUY" label, it's a historical discount zone.
Scale Out: When price hits the purple "RE-SELL" label, take profits on that specific position to reclaim liquidity.
HODL the Rest: Use this to lower your break-even price while keeping a "moon bag" for the next ATH.
Author's Note
Best used on 4H and 1D timeframes. This is a mathematical approach to volatility, removing emotions from your trading.
ATR Trailing Stop (EMA Filter) with Adjustable ShiftATR and ema plotted to visualize best stop losses for scalping.
Futures Risk Manager (Futures)Risk management table for consistency trading.
Auto adjustable for MINI/MICRO based on your account.
can change RR shows SL and TP and amount to enter.
Please take note that you need to update every trade the stop tick and RR ratio.
Good luck in your trading journey.
eBacktesting - Learning: FVGeBacktesting - Learning: FVG is an indicator in the eBacktesting Learning series: a collection of tools designed to help new traders understand the most important concepts in trading through clear, visual examples directly on the chart.
This indicator highlights Fair Value Gaps (FVGs): areas where price moved so quickly that it left behind an imbalance. These zones often act like "magnets" for future price action and can become important areas to watch for reactions, continuations, or reversals.
To keep the chart clean and the learning process practical, FVGs are only displayed when they remain relevant, meaning they are not instantly cleared by the very next candle. This helps beginners focus on the imbalances that actually persist and are more likely to matter.
Each FVG is drawn as a zone with a midpoint line and will visually update as price interacts with it:
Touched when price trades into the zone
Filled when price completely clears the zone
These indicators are built to pair perfectly with eBacktesting extension, where traders can practice these concepts step-by-step. Backtesting concepts visually like this is one of the fastest ways to learn, build confidence, and improve trading performance.
Educational use only. Not financial advice.
Multi Cycles Predictive System ML - GBM IntegratedMulti-Cycle Predictive System: The Gradient Boosting Machine (GBM) Revolution
Introduction: The Death of Static Analysis
The financial markets are not static; they are a living, breathing, and chaotic system. Yet, for decades, traders have relied on static indicators—using the same RSI settings, the same MACD parameters, and the same Moving Averages regardless of whether the market is trending, chopping, or crashing.
The Multi-Cycle Predictive System (MCPS) represents a paradigm shift. It is not just an indicator; it is an Adaptive Machine Learning Engine running directly on your chart.
By integrating a fully functional Gradient Boosting Machine (GBM), this script does not guess—it learns. It monitors 13 distinct algorithmic models, calculates their real-time accuracy against future price action, and dynamically reallocates influence to the "winning" models using gradient descent.
This is Survival of the Fittest applied to technical analysis.
1. The Core Engine: Gradient Boosting & Adaptive Learning
At the heart of the MCPS is a custom-coded Gradient Boosting Machine. While most "ML" scripts on TradingView simply average a few indicators, this system replicates the architecture of advanced data science models.
How the GBM Works:
Ensemble Prediction: The system aggregates signals from 13 different mathematical models.
Residual Calculation: It compares the ensemble's previous predictions against the actual price movement (Price Return) to calculate the error (Residual).
Gradient Descent: It calculates the gradient of the loss function. We utilize a Huber Loss Gradient, which is robust against outliers (market spikes), ensuring the model doesn't overreact to volatility.
Weight Optimization: Using a configurable learning rate, the system updates the weights of each sub-algorithm. Models that predicted correctly gain weight; models that failed lose influence.
Softmax Normalization: Finally, weights are passed through a Softmax function (with Temperature control) to convert them into probabilities that sum to 1.0.
The "Winner-Takes-All" Philosophy
A common failure in ensemble systems is "Signal Dilution"—where good signals are drowned out by bad ones.
The MCPS solves this with Aggressive Weight Concentration:
Top 3 Logic: The script identifies the top 3 performing algorithms based on historical accuracy.
The 90% Rule: It forces the system to allocate up to 90% of the total decision weight to these top 3 performers.
Result: If Ehlers and Schaff are reading the market correctly, but MACD is failing, MACD is effectively silenced. The system listens only to the winners.
2. The 13 Algorithmic Pillars
The MCPS draws from a diverse library of Digital Signal Processing (DSP), Statistical, and Momentum algorithms. It does not rely on simple moving averages.
Ehlers Bandpass Filter: Isolates the dominant cycle in price data, removing trend and noise.
Zero-Lag EMA (ZLEMA): Reduces lag to near-zero to track momentum shifts instantly.
Coppock Curve: A classic long-term momentum indicator, modified here for adaptive responsiveness.
Detrended Price Oscillator (DPO): Eliminates the trend to identify short-term cycles.
Schaff Trend Cycle (STC): A double-smoothed stochastic of the MACD, excellent for identifying cycle turns.
Fisher Transform: Converts price into a Gaussian normal distribution to pinpoint turning points.
MESA Adaptive: Uses Maximum Entropy Spectral Analysis to detect the current dominant cycle period.
Goertzel Algorithm: A DSP technique used to identify the magnitude of specific frequency components in the price wave.
Hilbert Transform: Extracts the instantaneous amplitude and phase of the price action.
Autocorrelation: Measures the similarity between the price series and a lagged version of itself to detect periodicity.
Singular Spectrum Analysis (SSA): Decomposes the time series into trend, seasonal, and noise components (Simplified).
Wavelet Transform: Analyzes data at different scales (frequencies) simultaneously.
Empirical Mode Decomposition (EMD): Splits data into Intrinsic Mode Functions (IMFs) to isolate pure cycles.
3. The Dashboard: Total Transparency
Black-box algorithms are dangerous. You need to know why a signal is being generated. The MCPS features two detailed dashboards (tables) located at the bottom of your screen.
The Weight & Accuracy Table (Bottom Right)
This is your "Under the Hood" view. It displays:
Algorithm: The name of the model.
Accuracy: The rolling historical accuracy of that specific model over the lookback period (e.g., 58.2%).
Weight: The current influence that model has on the final signal. Watch this change in real-time. You will see the system "giving up" on bad models and "betting heavy" on good ones.
Prob/Sig: The raw probability and directional signal (Up/Down).
The GBM Stats Table (Bottom Left)
Tracks the health of the Machine Learning engine:
Iterations: How many learning cycles have occurred.
Entropy: A measure of market confusion. High entropy means weights are spread out (models disagree). Low entropy means the models are aligned.
Top 3 Weight: Shows how concentrated the decision power is. If this is >80%, the system is highly confident in specific models.
Confidence & Agreement: Statistical measures of the signal strength.
4. How to Trade with MCPS
This system outputs a single, composite Cycle Line (oscillating between -1 and 1) and a background Regime Color.
Strategy A: The Zero-Cross (Trend Reversal)
Bullish: When the Cycle Line crosses above 0. This indicates that the weighted average of the top-performing algorithms has shifted to a net-positive expectation.
Bearish: When the Cycle Line crosses below 0.
Strategy B: Probability Extremes (Mean Reversion)
Strong Buy: When the Cycle Line drops below -0.5 (Oversold) and turns up. This indicates a high-probability cycle bottom.
Strong Sell: When the Cycle Line rises above +0.5 (Overbought) and turns down.
Strategy C: Regime Filtering
The background color changes based on the aggregate consensus:
Green/Lime: Bullish Regime. Look primarily for Long entries. Ignore weak sell signals.
Red/Orange: Bearish Regime. Look primarily for Short entries.
Gray: Neutral/Choppy. Reduce position size or wait.
5. Configuration & GBM Settings
The script is highly customizable for advanced users who want to tune the Machine Learning hyperparameters.
Prediction Horizon: How many days into the future are we trying to predict? (Default: 3).
Accuracy Lookback: How far back does the model check to calculate "Accuracy"?
GBM Learning Rate: Controls how fast the model adapts.
High (0.2+): Adapts instantly to new market conditions but may be "jumpy."
Low (0.05): Very stable, long-term adaptation.
Temperature: Controls the "Softmax" function. Higher temperatures allow for softer, more distributed weights. Lower temperatures force a "Winner Takes All" outcome.
Max Top 3 Weight: The cap on how much power the top 3 models can hold (Default: 90%).
6. Technical Nuances (For the Geeks)
Huber Gradient: We use Huber loss rather than MSE (Mean Squared Error) for the gradient descent. This is crucial for financial time series because price spikes (outliers) can destroy the learning process of standard ML models. Huber loss transitions from quadratic to linear error, making the model robust.
Regularization: L2 Regularization is applied to prevent overfitting, ensuring the model doesn't just memorize past noise.
Memory Decay: The model has a "fading memory." Recent accuracy is weighted more heavily than accuracy from 200 bars ago, allowing the system to detect Regime Shifts (e.g., transitioning from a trending market to a ranging market).
Disclaimer:
This tool is a sophisticated analytical instrument, not a crystal ball. Machine Learning attempts to optimize probabilities based on historical patterns, but no algorithm can predict black swan events or fundamental news shocks. Always use proper risk management.
The "Warmup Period" is required. The script needs to process 50 bars of history before the GBM engine initializes and produces signals.
Author's Note:
I built the MCPS because I was tired of indicators that stopped working when the market "personality" changed. By integrating GBM, this script adapts to the market's personality in real-time. If the market is cycling, Ehlers and Goertzel take over. If the market is trending, Coppock and ZLEMA take the lead. You don't have to choose—the math chooses for you.
Please leave a boost and a comment if you find this helpful!
HV and IMP candle finderHV and IMP candle finder
Highest volume candle (HV) and Important candle (IMP) are usually a traces of institutional activity. We can take help of these candles to form a bias for the next trading day.
This script does the following:
1. Finds the IMP candle for a given day range with the trend of a given day, ie it finds highest volume candle between the high and low of the day and marks as IMP on the chart
2. It finds the highest volume candle for a given day and marks it.
Use case:
Spot institutional activity, accumulation, and key intraday pivot candles.
View can be made by seeing this HH and LL in these volume candles. Also by considering the closing and opening for the price the next trading session.
Notes
Best to be used on 5 min TF for after market analysis. It does get the candles in live market but it might change with time.
Works really best when delivery volume is also analysed along with it.
Made with Love.
Regards,
Jitendra Varma
4 EMA Perfect Order + Strength + MTF + Breakdown Alerts (v6)🇯🇵 日本語説明文
📌 スクリプト概要
このスクリプトは、EMA10・20・40・80 を使用して「パーフェクトオーダー(PO)」を判定し、
PO が確定した瞬間と、PO が崩壊した瞬間の両方を自動で検知して通知します。
さらに、PO の強さ(短期と長期 EMA の乖離率)を数値化して表示し、
上位足(MTF)でも同様の判定と強さ表示が可能です。
トレンドの「始まり」と「終わり」をどちらも捉えることができる、
トレンドフォローに最適化されたインジケーターです。
🔧 機能一覧
• EMA10/20/40/80 のライン表示(黒・赤・オレンジ・青)
• パーフェクトオーダー(Bull/Bear)の自動判定
• PO確定時に矢印(▲/▼)を表示
• PO崩壊(Break)を検知してシグナル表示
• POの強さ(乖離率)をリアルタイム表示
• 上位足(MTF)での PO 判定と強さ表示
• アラート条件付き
• Bull PO 確定
• Bear PO 確定
• Bull PO 崩壊
• Bear PO 崩壊
• 背景は白で視認性を重視
📈 パーフェクトオーダーとは?
• Bull PO(上昇トレンド)
EMA10 > EMA20 > EMA40 > EMA80
• Bear PO(下降トレンド)
EMA10 < EMA20 < EMA40 < EMA80
PO が確定したバーで矢印とアラートが発生し、
PO が崩れた瞬間にもアラートが発生します。
🧠 活用例
• トレンドの勢い(強さ)を数値で把握
• 上位足のトレンドと一致しているか確認
• トレンドフォロー戦略のフィルターとして利用
• PO崩壊を使って利確・撤退の判断材料に
• MTFと組み合わせて精度を向上
🇺🇸 English Description
📌 Overview
This script detects “Perfect Order” (PO) conditions using EMA10, EMA20, EMA40, and EMA80.
It alerts you both when a PO is confirmed and when it breaks down, allowing you to capture the beginning and the end of a trend.
The script also calculates PO strength (based on EMA divergence) and supports multi‑timeframe (MTF) analysis.
This indicator is designed for traders who want to track trend momentum and identify early signs of trend reversal.
🔧 Features
• Displays EMA10/20/40/80 with color coding (black, red, orange, blue)
• Detects Bull and Bear Perfect Order conditions
• Shows arrows (▲/▼) when PO is confirmed
• Detects PO breakdown and displays a signal
• Displays PO strength as a percentage (EMA10 vs EMA80 divergence)
• Supports MTF PO detection and strength display
• Includes alert conditions:
• Bull PO confirmed
• Bear PO confirmed
• Bull PO breakdown
• Bear PO breakdown
• Clean white background for better visibility
📈 What is a Perfect Order?
• Bull PO (Uptrend): EMA10 > EMA20 > EMA40 > EMA80
• Bear PO (Downtrend): EMA10 < EMA20 < EMA40 < EMA80
Alerts are triggered both when the PO is newly confirmed and when it breaks.
🧠 Use Cases
• Measure trend momentum using PO strength
• Confirm alignment with higher timeframe trends
• Use as a trend‑following filter
• Detect early signs of trend reversal using PO breakdown
• Improve accuracy by combining MTF and PO logic
MTF Indicator DashboardMulti-Timeframe Indicator Dashboard
A comprehensive multi-timeframe dashboard that displays the status of key technical indicators across 8 different timeframes in a compact, color-coded table.
Features:
Monitors 8 timeframes simultaneously: 3m, 5m, 15m, 30m, 1H, 2H, 4H, and Daily
Tracks 5 key indicators:
RSI (2-period with 6-period smoothing): Green when above 50, Red when below 50
ADX/DI (2-period): Green when +DI > 20 and dominant, Red when -DI > 20 and dominant
MACD (2, 3, 6): Green when MACD line above signal line, Red when below
EMAs (9, 20, 50, 100, 200, 400): Green when price above all EMAs, Red when below all EMAs
Overall: Combined signal requiring 2+ indicators to agree for bullish/bearish confirmation
Display:
Clean, compact table positioned in top-right corner
Color-coded boxes: Green (bullish), Red (bearish), Gray (neutral)
Minimal visual clutter for quick analysis
Updates in real-time
Use Case:
Perfect for traders who want to quickly identify timeframe alignment and confluence across multiple technical indicators. Ideal for scalping, day trading, and swing trading to spot high-probability setups when multiple timeframes align.
Settings:
All indicator parameters match the calculations used and can be viewed in the source code.
Volume Profile Visible Range (VPVR) with POC PriceThis script visualizes volume distribution for the bars currently visible on your chart, helping you identify key liquidity zones and high-traffic price levels.
Main Features:
・Dynamic Range: Recalculates automatically as you zoom or scroll.
・POC Price Label: Highlights the Point of Control (highest volume) with a clear price tag.
・Value Area (VA): Visually separates the most active trading zone (default 70%).
・Highly Flexible: Choose your preferred layout (Left or Right) and colors.
How to use:
1. Spot S/R Levels: Look for long bars (High Volume Nodes); these often act as strong support or resistance.
2. Monitor the POC: The Point of Control is a price magnet. Watch for reactions or retests at this level.
3. Low Volume Gaps: Price tends to move quickly through areas with very short volume bars.
Leotin ScalperThis is a quick scalping indicator. Mostly used on the 1 minute timeframe. It uses the RSI on the 14 period with 30 and 70. When it crosses the 70 line it and a hanging man or shooting star candle forms, it will give a sell indication. when crossing the 30 line and a hammer or inverted hammer is formed it will give a buy indication.
FVG by EVEV FVG is a clean and beginner-friendly Fair Value Gap indicator designed to help traders understand and visualize institutional price imbalances in a simple and intuitive way. It automatically detects high-quality bullish and bearish fair value gaps using a non-repainting three-candle structure, ensuring that all zones are confirmed and reliable in real-time trading.
The indicator focuses on clarity over complexity. Active fair value gaps are extended forward to act as potential areas of interest, while filled gaps are automatically frozen at the exact point where price completes them, preserving the historical context without cluttering the chart. Fully mitigated zones are visually muted and do not display labels, keeping attention on what is currently relevant.
To maintain a clean chart, distant gaps fade into outline-only mode, allowing traders to focus on the most actionable areas near price while still retaining broader market structure awareness. Sensitivity is controlled through a single preset selector, making the indicator suitable for beginners without requiring manual optimization or advanced configuration.
EV FVG Lite works on any market and timeframe and is designed to integrate naturally with price action, market structure, and liquidity-based trading approaches. It is intended as an educational and practical tool that helps traders build a solid understanding of fair value gaps without overwhelming them with settings or noise.
CJ Oscillator Matrix PRO (Flow + Momentum + Heatmap)CJ Oscillator Matrix PRO is not a buy/sell signal indicator and does not follow price candle by candle.
It is a market context and momentum analysis tool designed to help traders understand trend strength, impulse, and overall market conditions.
This indicator combines momentum (TSI) and money flow (CMF) into a single oscillator, while the heatmap background highlights when the market is balanced or extended.
Strong colors represent high pressure or potential exhaustion zones, not automatic entries or reversals.
Use this tool to:
Identify trend direction and strength
Understand impulse vs. consolidation
Avoid chasing price during extended moves
Add context to your technical analysis
Best used alongside price action, structure, EMAs, and risk management.
This indicator does not predict price — it helps you understand market behavior.
7,25,50 EMA Convergence Detector It is to detect coins for conversing 3 EMAs.
As you know well, it is a good chance to take a position when the MA lines are conversing.
This is designed to detect the point.
Alpha Hunter Integrated MACD & Oscillator [wjdtks255]Indicator Title: Alpha Hunter Integrated MACD & Oscillator Pro
Short Description
A high-precision hybrid oscillator that integrates MACD dynamics with a secondary-smoothed histogram to eliminate market noise and capture trend reversals with minimal lag.
Detailed Description
Overview
The Alpha Hunter Integrated MACD & Oscillator is designed to overcome the inherent lag of standard MACD indicators. By applying an exponential moving average (EMA) filter to the histogram itself and incorporating a momentum direction check, this tool identifies high-probability entry points while filtering out "whipsaws" commonly found in choppy markets.
Key Technical Pillars
Dual-Smoothed Histogram: Unlike standard oscillators, this script smooths the raw histogram values using a secondary filtering period. This reveals the true underlying momentum before price action fully shifts.
Momentum Directional Filter: Entry signals are only triggered when the MACD line’s slope aligns with the crossover, ensuring you don't enter against a stalling trend.
Dynamic Trend Clouds: The visual fill between the MACD and Signal lines acts as a "Trend Cloud," providing immediate visual feedback on the strength and duration of the current trend.
The Winning Trading Strategy (How to Use)
To maximize win rates, it is highly recommended to use this indicator as a Confirmation Oscillator alongside a Long-term Trend Filter (like a 200 EMA) on your main chart.
1. Long Setup (Buy)
Context: Price must be trading above the 200 EMA on the main chart.
Signal: A green "BUY" triangle and label appear on the oscillator.
Confirmation: The Histogram should be green and rising.
Exit: Exit at a pre-defined Take Profit (TP) box or when a bearish MACD crossunder occurs.
2. Short Setup (Sell)
Context: Price must be trading below the 200 EMA on the main chart.
Signal: A red "SELL" triangle and label appear on the oscillator.
Confirmation: The Histogram should be red and falling.
Exit: Exit at the designated Stop Loss (SL) or when a bullish MACD crossover occurs.
Input Parameters & Optimization
Fast/Slow/Signal: Default 12, 26, 9. (Standard for most markets).
Signal Smoothing: Set to 5 for a balance of speed and reliability. Increase to 8+ for swing trading on higher timeframes.
Recommended Timeframes: 15m, 1h, and 4h for the best signal-to-noise ratio.
Author's Note
This indicator is a "No-Repaint" script. Signals are confirmed at the close of the candle to ensure reliability during live trading. Always use proper risk management.
Previous Highs and Lows (M, W, D) Displays previous Monthly, Weekly, and Daily key swing highs/lows with clean , timeframe-specific coloring. Essential structure reference for multi-timeframe traders!!
Your Monthly/Weekly/Daily structural backbone in one indicator!!!!
RSI-SAR-Fibonacci StrategyIngresar en el Retroceso del 0.61 del Fibonacci, Tp 3 a 1 o RSI en 70 o 30 Salir.
The MF Rounded LevelsThis is a standalone utility indicator designed to draw a custom horizontal grid on your chart. It focuses on "Rounded Levels" (psychological price levels like 1900.00, 1905.00, etc.), which are often significant in trading assets like Gold (XAUUSD).
Here is a breakdown of how it works:
1. Dynamic Visible Range
Smart Drawing: Unlike standard grid tools that might draw lines everywhere, this script calculates the High and Low of the prices currently visible on your screen.
Efficiency: It only draws lines within that specific vertical range. If you scroll the chart, it recalculates and redraws the lines instantly.
2. Two-Tier Grid System
It distinguishes between two types of levels to help you visualize price structure better:
Primary Step: The base increment (default is 5.0). These are the standard grid lines.
Major Step: A larger increment (default is 15.0). These lines overlap with the primary ones but can be styled differently (e.g., thicker, darker, or solid) to mark more significant levels.
3. Customization & Styling
You have full control over the visuals via the settings menu:
Styles: Choose between Solid, Dotted, or Dashed lines.
Colors & Widths: Set different colors and line thicknesses for Primary vs. Major lines.
4. Auto-Hide Feature
Timeframe Filter: The script includes logic to automatically hide the grid if you switch to a timeframe higher than 4 Hours (H4). This prevents the chart from looking cluttered on Daily or Weekly views where 5-point increments would be too dense.
eBacktesting - Learning: Fibonacci RetracementeBacktesting - Learning: Fibonacci Retracement helps you practice one of the most common “pullback” tools in trading: Fibonacci retracements.
It automatically finds the most recent swing and draws your chosen Fibonacci levels (for example 0.382, 0.5, 0.618, 0.786) so you can clearly see where price is pulling back into “discount/premium” areas. When price taps a level (or the Golden Zone), the indicator marks it so you can review what happened next and build pattern recognition.
These indicators are built to pair perfectly with the eBacktesting extension, where traders can practice these concepts step-by-step. Backtesting concepts visually like this is one of the fastest ways to learn, build confidence, and improve trading performance.
Educational use only. Not financial advice.
Market Structure Break + RSI ExitSignal Architect™ — Developer Note
This indicator includes a limited visual preview of a proprietary power signal I have personally developed and refined across futures, algorithmic systems, options, and equity trading.
Every tool I release is built with one principle in mind:
clarity of direction without over-promising or under-delivering.
That is why all Signal Architect™ tools emphasize:
Market structure first
High-probability directional context
Clear, visual risk framing
No predictive claims, no curve-fit illusions
What you are seeing here is only a small glimpse of a much broader internal framework I actively use in live environments.
🧠 Background & Scope
Over the years, I have personally developed 800+ programs spanning:
Equities
Futures
Options
Dividend & income systems
Portfolio construction and allocation logic
This includes 40+ Nasdaq-100 trading bots, several of which operate under extremely strict rule-sets and controlled deployment conditions.
Nothing shared publicly represents my full system—only educational and analytical previews designed to demonstrate how structure and probability can be aligned visually.
🤝 Support & Collaboration
If you find value in what I share:
Please subscribe, boost, and share my scripts, Ideas, and MINDS posts
You are always welcome to message me directly with questions or if you need something built or adapted
Constructive feedback and collaboration are encouraged
For traders looking to go deeper, I offer optional memberships that include:
Access to additional signals
Early previews
Occasional free tools and upgrades to support your trading journey
🔗 Membership & Signals:
trianchor.gumroad.com
⚠️ Final Note
Everything published publicly is for educational and analytical purposes only.
Markets carry risk. Discipline and risk management always come first.
— Signal Architect™
You can Find my personally developed GBT below
chatgpt.com
chatgpt.com
chatgpt.com
********************************************************************************************************************WHAT THIS INDICATOR DOES
This indicator is a structure-first breakout engine designed around how price actually transitions between balance and expansion.
It does not predict reversals.
It waits for confirmed market structure breaks, then:
Anchors risk using recent wave extremes
Projects deterministic TP/SL zones
Tracks outcomes visually and statistically
Optionally exits early when momentum exhausts (RSI fade)
This makes it ideal for:
Directional traders
Swing continuation setups
Expansion phases after compression
🧠 CORE SIGNAL ARCHITECT LOGIC
1️⃣ Market Structure Identification
The system uses pivot highs and pivot lows to define true structural levels:
Pivot High break → Long bias
Pivot Low break → Short bias
This avoids:
Random candle breakouts
Intrabar noise
False momentum spikes
Only confirmed structural levels are traded.
2️⃣ Entry Trigger (Structure Break)
A trade is triggered only when price closes through structure:
Direction Requirement
Long Close breaks above last confirmed pivot high
Short Close breaks below last confirmed pivot low
📌 Important:
No signal fires if you are already in a trade — one position at a time, clean sequencing.
3️⃣ Stop-Loss Logic (Wave-Anchored Risk)
Stops are not arbitrary.
They are anchored to:
Recent wave low (for longs)
Recent wave high (for shorts)
This ensures:
Stops sit beyond real market structure
Risk reflects actual auction failure, not candle noise
4️⃣ Take-Profit Logic (Risk × Reward)
Take-profit is mechanically derived:
TP = Risk × Risk:Reward Ratio
Examples:
RR = 1.0 → TP = same distance as SL
RR = 1.5 → TP = 1.5× SL distance
RR = 2.0 → TP = expansion-focused swings
This keeps results comparable, repeatable, and testable.
5️⃣ Optional RSI Exit (Momentum Fade)
RSI is not used for entries.
It is used only as an optional early-exit filter:
Trade RSI Condition
Long RSI crosses down from Overbought
Short RSI crosses up from Oversold
This is designed for:
Reducing give-back during exhaustion
Tight markets where expansion stalls
Volatility contraction environments
🔕 You can disable this entirely for pure structure trading.
📦 VISUAL OUTPUTS
🔲 Risk Boxes (Core Feature)
Every trade plots:
Green box = profit zone
Red box = loss zone
Boxes:
Extend forward bar-by-bar
Stop updating once trade resolves
Allow instant visual expectancy review
🔺 Signal Arrows
Green ▲ = Structure Break Long
Red ▼ = Structure Break Short
No repainting.
No intrabar guessing.
🧮 Performance Stats Table
Tracks:
Total trades
Wins
Losses
Win rate %
📌 This is contextual feedback, not a promise of future results.
🎯 RECOMMENDED TIMEFRAMES (VERY IMPORTANT)
This indicator performs best when structure matters.
⭐ PRIMARY TIMEFRAMES (Recommended)
Timeframe Use Case
15-Minute Intraday structure breaks, clean expansions
30-Minute Session-level continuation
1-Hour Swing structure, reduced noise
2-Hour Institutional rhythm, fewer false breaks
4-Hour Macro structure legs
✔ These timeframes allow pivots to form properly
✔ Stops remain structurally meaningful
✔ RR math stays realistic
⚠️ SECONDARY / CONDITIONAL
Timeframe Notes
5-Minute Use only during trend days
Daily Works well, but slower signal frequency
🚫 NOT RECOMMENDED
Timeframe Why
1–3 Minute Too much pivot distortion
Tick / Seconds Breaks structure logic entirely
This is not a scalping indicator.
🟩 BACKGROUND BIAS SHADING
Green tint → Active long bias
Red tint → Active short bias
No tint → Neutral / flat
This helps:
Avoid over-trading
Stay aligned with active structure
Recognize when the system is waiting
🧠 HOW TO USE THIS CORRECTLY
Best Practices
✔ Trade only in expansion environments
✔ Let pivots form before expecting signals
✔ Respect the stop — it is structurally valid
✔ Journal results per timeframe
Avoid
✘ Forcing trades in chop
✘ Using this as a reversal indicator
✘ Lowering timeframe to “get more signals”
⚠️ IMPORTANT DISCLAIMER
This indicator is for educational and analytical purposes only.
It does not:
Predict markets
Guarantee profits
Replace risk management
Trading involves substantial risk and can result in loss of capital.
Past performance does not guarantee future results.
MINI Lead Osc v2_ CCI_ Impulse_ REG🔹 MINI Lead Osc v2 — Momentum, Impulse & Early Reversal Tool
MINI Lead Osc v2 is a leading momentum oscillator designed to detect early shifts in market strength, impulse exhaustion, and potential reversals before they become obvious on price.
This indicator is part of the ICT Suite ecosystem and is engineered to work in confluence with:
Regression SuperTrend (WAIT)
Liquidity Oscillator (Structure & Bias)
Used together, they form a complete top-down trading framework.
⚙️ Core Logic
MINI Lead Osc v2 blends multiple engines into a single clean signal:
• CCI + RSI slope momentum
• ATR volatility shift
• Pivot-based divergence detection
• Adaptive Sensitivity+ engine
• Regression channel (linreg + RMSE bands)
The output is a normalized lead line that reacts before classic lagging indicators.
🚀 What This Indicator Is Best For
✔ Early trend continuation signals
✔ Detecting impulse starts, weakness, and distribution
✔ Filtering noise during ranges
✔ Momentum confirmation for pullback entries
✔ Spotting divergence without repainting
This is not a standalone “buy/sell spam” indicator — it is a decision-quality tool.
🔁 How to Use (Recommended Setup)
For best results, use MINI Lead Osc v2 together with:
1️⃣ Regression SuperTrend (WAIT)
→ Defines dominant trend & market regime
→ Filters counter-trend signals
2️⃣ Liquidity Oscillator (Structure)
→ Confirms break → pullback → continuation logic
→ Adds HTF bias & session context
3️⃣ MINI Lead Osc v2 (this script)
→ Times entries
→ Detects early momentum shifts
→ Confirms impulse quality
📌 Trade only when all three align.
🧠 Important Notes
• Signals are non-repainting (bar-close confirmed)
• Designed for discretionary trading, not automation
• Works best on 5m – 15m – 1h timeframes
• Crypto, Futures, and FX friendly
⚠️ Disclaimer
This indicator is for educational and analytical purposes only.
It does not constitute financial advice.
Always manage risk and confirm with price action.
Trade ChecklistThis script is just great. It helps you make sure your setup aligns with your trading rules.






















