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Inside Candle Positional StrategyIntroduction
This strategy implements a structured Inside Candle breakout model designed to capture expansion moves following short-term price compression.
An inside candle represents a temporary contraction in volatility, where the entire range of the current bar is contained within the previous bar. The preceding bar becomes the Mother Candle, and its range defines the potential breakout boundaries.
The model focuses purely on price structure and predefined risk parameters rather than trend-following overlays or momentum filters.
Core Logic and Structure
Inside Candle Detection
An inside candle is defined as:
Current High < Previous High
Current Low > Previous Low
When this condition occurs, the previous bar is marked as the Mother Candle. Only one breakout attempt is allowed per identified structure to prevent repeated entries within the same consolidation phase.
Trade Entry Rules
Entries are executed at market on confirmed bar close.
Long Position
Close > Mother Candle High
No active position
Short Position
Close < Mother Candle Low
No active position
This ensures breakout confirmation rather than anticipatory positioning.
Risk Management Framework
Risk control is fully rule-based and determined at the moment of entry.
For each trade:
Initial Stop Loss = Opposite boundary of the Mother Candle
Risk = Distance between entry price and initial stop
Target = Entry ± (Risk × Risk-Reward Ratio)
The Risk-Reward Ratio is user configurable.
Only one position is active at any time (pyramiding disabled).
Optional ATR-Based Trailing Stop
An optional trailing mechanism may be enabled:
Trailing Stop updates on every confirmed bar.
Calculated using ATR × Multiplier.
Moves only in the direction of profit.
Never worsens beyond the initial stop level.
If disabled, exits rely solely on the fixed stop and target.
Execution Model
All signals are calculated on confirmed bar closes.
Entries are market orders.
Stop and target levels are evaluated using bar OHLC values.
No repainting logic is used.
No intrabar order sequencing assumptions are applied.
Backtest performance may differ from live execution due to slippage, spread, liquidity, and market conditions.
Visual Components
Inside candles are highlighted (default: yellow).
Entry, Initial Stop, Trailing Stop (if enabled), and Target levels are displayed using line-break formatting for clarity.
Designed to maintain structural visibility without excessive chart clutter.
Strategy Defaults
Initial Capital: $1000
Commission: 0.05%
Position Size: 1 (fixed quantity)
Pyramiding: Disabled
These defaults can be adjusted in the Strategy Properties panel.
Intended Application
This strategy is suited for studying breakout behavior after short-term consolidation phases.
Performance characteristics will vary depending on instrument volatility, timeframe, and market regime.
It is presented as a structural breakout framework and should be tested and adapted according to individual risk tolerance and trading objectives.
Disclaimer
Trading involves significant risk. This script is provided for educational and research purposes only and does not constitute financial advice. Users are responsible for evaluating its suitability for their own trading decisions. Strategy
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Paradigm Shift: Delivery StateDescription by way of Example using weekly and 4h readings. THIS INDICATOR IS NOT MADE TO OPERATE BELOW A 4H chart. It is looking for Weekly and 4h price delivery that an ICT trader would call messy. Spikes well below OB but which then turn in the logical direction. A series of FVG that are never returned to or themselves are printed over but then turn support or resistance against the run through. So it is designed to indicate the overall level of stress on algorithm delivery. When you see a significantly higher stress level on the 4h trading is still doable but be careful of sloppy delivery. When you see a significant stress level on the weekly then be very very careful on the lower levels and consider staying out for the time being. The state of price delivery can be seen by anyone. But I have incorporated readings of the global bond market and currency correlations as confluent evidence of the reading for the state of price delivery. The term "grinder" is my word for algorithmic delivery. Contrary to ICT I believe that buying and selling pressure are real determinants of market movement up or down. However, I believe that that pressure is pushed through the algo like meat through a meat grinder to ensure a fair and equitable and efficient delivery of that pressure. So price always moves according to algorithmic principles, but those principles are driven by external pressure. The greater the pressure the more the algo stutters and gaps in its effort to smooth out an efficient delivery of price. This Indicator is looking for those stressors.
The Weekly State: "Symmetrical" / Stress: 2%
* What it means: At the highest level, the "New Paradigm" has not yet broken the system. A 2% stress level is effectively "Background Noise." This indicates that the global bond market and currency correlations are currently holding their historical norms.
* The Price Delivery: Because it is Symmetrical, the "Grinder" is in an efficient mode. Weekly expansions are likely being met with orderly retracements. There are no "Ominous" breakaway gaps on the weekly timeframe yet.
* The Dalio View: We are still in the "Accumulation" or "Buffering" phase of the cycle. The systemic heart attack is not happening this week.
2. The 4h State: "Saturated" / Stress: 44%
* What it means: While the Weekly is calm, the 4h is heating up. A 44% stress level means that local bond volatility (the US10Y proxy) is higher than it has been 44% of the time over the last year. This is a significant "Step-Up" in pressure.
* The Price Delivery: Because it is Saturated, the 4h "Grinder" is starting to struggle with the "meat" being fed into it.
* The Result: You will likely see "Deep Stop Runs" and "PD Array Overtravel." Price might not just tap an Order Block; it might blast 15 pips through it before reversing.
* Delivery is "Unclean": The 4h Fair Value Gaps might only get partially filled, or price might leave "jagged" wicks that make lower-timeframe entries frustrating.
3. How to Trade This Divergence (Practical Logic)
When the Higher Timeframe (HTF) is stable (2%) but the Lower Timeframe (LTF) is stressed (44%), it creates a specific environment:
* The "Opaque Trap": You might see a perfect ICT Silver Bullet setup on the 15m, but because the 4h is "Saturated," the setup will likely be messier than usual. You should expect "Judas Swings" to be more violent and "FVG Retracements" to be less precise.
* Confidence in the HTF: Since the Weekly is at 2%, you can trust the Overall Direction. If the Weekly is bullish, any "Saturated" mess on the 4h is likely just an aggressive re-accumulation rather than a systemic reversal.
* The "Stay Out" Warning: You only need to worry when that 4h Stress (44%) begins to "infect" the Weekly. If the Weekly Stress moves from 2% to 20% to 50%, that is your signal that the Paradigm is Shifting and the "Grinder" is about to start teleporting price.
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PinBar Finder by cryptokazancevEnglish description:
This script helps traders identify high-probability reversal points based on price action, specifically Pin Bars — a well-known candlestick pattern used in technical analysis.
What does the indicator do?
It detects bullish and bearish Pin Bars using a custom method for wick-to-body ratio and filters based on historical volatility (pseudo-ATR). A label appears on the chart with detailed info on wick and body size when a valid signal is found.
How does it work?
- The indicator calculates a pseudo-ATR based on the percentage range of the last 1000 candles.
- It then multiplies this value by a user-defined factor (default: 1.1) to set a dynamic threshold for wick size.
- Bullish Pin Bars are detected when the lower wick is at least 1.1 times the body and greater than the dynamic ATR.
- Bearish Pin Bars are detected when the upper wick meets similar conditions.
- Signals are shown using chart labels with exact wick/body percentages.
- Alerts are included for automation or integration with trading bots.
How to use it?
- Add the indicator to any timeframe and asset.
- Use the alerts to notify you when a Pin Bar appears.
- Ideal for traders who use candlestick reversal strategies or combine price action with other confluence tools.
- You can adjust the wick length multiplier to fit the volatility of the instrument.
What makes it original?
Unlike many public scripts that use fixed ratios, this script adapts wick length detection based on recent volatility (pseudo-ATR logic). This makes it more dynamic and suitable for different markets and timeframes.
Описание на русском:
Этот скрипт помогает трейдерам находить точки потенциального разворота на основе прайс-экшена, а именно — свечного паттерна «Пин-бар». Индикатор автоматически определяет бычьи и медвежьи пин-бары с учетом адаптивных параметров волатильности.
Что делает индикатор?
Скрипт ищет свечи, у которых тень в несколько раз превышает тело (пин-бары), и отображает на графике точную информацию о длине тела и тени. Это полезно для трейдеров, использующих свечные сигналы на разворот.
Как работает?
- Рассчитывается псевдо-ATR по 1000 последним свечам на основе процентного диапазона high-low.
- Этот ATR умножается на заданный множитель (по умолчанию: 1.1), чтобы динамически задать минимальную длину тени.
- Бычий пин-бар определяется, когда нижняя тень больше тела в 1.1 раза и превышает ATR.
- Медвежий пин-бар — аналогично, но для верхней тени.
- Индикатор отображает лейблы с точными значениями тела и тени.
- Реализованы условия для оповещений (alerts).
Как использовать?
- Добавьте индикатор на нужный график и таймфрейм.
- Настройте alerts, чтобы не пропустить сигналы.
- Особенно полезен для трейдеров, работающих со свечным анализом, стратегиями разворота, а также в сочетании с другими индикаторами.
В чем оригинальность?
В отличие от многих скриптов, использующих фиксированные параметры, здесь используется динамический расчет длины тени на основе волатильности. Это делает скрипт адаптивным к рынку и таймфрейму. Indicator
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ChunkbrAI-NN INDIChunkbrAI-NN INDI: The Neural Network Odyssey
A Native Pine Script Neural Network Research Engine
Welcome to ChunkbrAI-NN 5.3. This is not a standard technical indicator; it is a proof-of-concept Artificial Intelligence engine built entirely from scratch within Pine Script.
Neural Networks typically require iterating over massive datasets, a task that usually times out on PulseWire. ChunkbrAI solves this by introducing a novel "Chunking Architecture"—a system that breaks history into digestible learning blocks and trains a Multilayer Perceptron (MLP) using a "Chunking" approach.
It features a living ecosystem where neurons have "genes," grow mature, and adapt to market regimes using a highly sophisticated Context-Aware normalization engine.
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The Core Concept: "The Time Wheel"
To bypass Pine Script's execution limits, this script does not train linearly from the beginning of time. Instead, it operates like a spinning wheel of experience.
* The Chunk System: On every bar update, the engine reaches back into history (up to 5000 bars) and grabs random or sequential "Chunks" of data. It treats these chunks as isolated training samples.
* Experience Replay: By constantly revisiting past market scenarios (Chunks), the network slowly converges its weights, learning to recognize patterns across different eras of price action.
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Architecture & Modules
A. The Neural Core (MLP)
At the heart is a raw neural network built with arrays:
* Topology: A dense network with a customizable Hidden Layer (Default: 60 Neurons).
* Timewarp (Stride): When enabled, the network uses "dilated" inputs (skipping bars, e.g., 1, 3, 5...). This increases the network's Field of View without increasing computational load.
* Forecasting: The network outputs a standardized prediction which is then de-normalized to project the future price path on your chart.
B. The Context System (The "Eyes")
Raw prices confuse neural networks. A $1000 move in Bitcoin is massive in 2016 but noise in 2024. ChunkbrAI uses a relativistic Context System:
* Regime Detection: It uses a Zero-Lag Moving Average (ZLMA) and Non-Linear Regression to measure the current market "Vibe" (Volatility & Trend).
* Dynamic Normalization: The inputs are scaled based on this context. If the market is volatile, the data is compressed; if calm, it is expanded. This ensures the brain receives consistent signal patterns regardless of the absolute price.
C. The Gene System (Neuro-Plasticity)
This is the experimental "biology" layer. Neurons are not just static math; they have life cycles.
* Maturity: Neurons start "Young" (highly plastic, high mutation rate). As they successfully reduce error, they become "Wise" (stable, low mutation).
* Mutation: If a "Wise" neuron begins failing (high error), it is demoted and forced to mutate. This allows the brain to "forget" obsolete behaviors and adapt to new market paradigms automatically.
* Profiles: You can initialize the brain with different personalities (e.g., Dreamer, Young Chaos, Zen Monk).
D. The Brain Scheduler (Adaptive Learning)
A static Learning Rate (LR) is inefficient. The Brain Scheduler acts as the heartbeat:
* Panic vs. Flow: It monitors the derivative of the error. If the error spikes (Panic), the Scheduler slows down learning to prevent the model from exploding. If the error smooths out (Flow), it accelerates learning (Infinite LR Mode).
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Forecasting Modes
The script provides two distinct ways to visualize the future:
1. Direct Projection (Green Line):
The network takes the current window of price action and predicts the immediate next step. If Timewarp is active, it interpolates the result to draw a smooth curve.
2. Autoregression (Cyan Line):
Available in "Auto" mode. The network feeds its *own* predictions back into itself as inputs to generate multi-step forecasts.
* Wave Segmentation: The script intelligently guesses the current market cycle length and attempts to project that specific duration forward.
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Operation Manual
The script has two distinct training loops: first, when you add it to a chart, Pine runs through the available historical bars once, and this initial history pass is the main training phase where the network iterates chunk-by-chunk using your configured chunk count/iterations (e.g., if chunk count is 3, it performs 3 chunk updates per step), but pushing chunk count, iterations, or model sizing too high can hit Pine’s execution limits; after that, once real-time candles start printing, the script can either keep training (weights continue updating) or freeze the weights and run inference only, producing predictions from the learned parameters, and if live training is enabled it can also simulate “bars-back” style training during live mode by iterating across prior bars as if doing another history pass—which again can run into limits if chunks/iterations/sizing are too heavy—so when changing parameters to evaluate behavior you change them carefully and individually, because multiple simultaneous increases make it hard to attribute effects and can more easily trigger those execution constraints.
Weight Persistence (Save/Load):
Pine Script can’t write files or persist weights directly, so ChunkbrAI uses a library-based workaround that’s honestly tricky and kind of a pain: you enable the weight-export alerts so the script emits the weights (W1/W2/biases etc.) as text, and those payloads are chunked as well; then, outside PulseWire, I use a separate Python script to parse the alert emails, reconstruct and format the chunked weights properly, and generate the corresponding library code files; after that, the libraries have to be published/updated, and only then can the main script “restore” by reading the published lib constants on chart load, effectively starting with the pre-trained weights instead of relying purely on the fresh history-run training pass. I don’t recommend this process unless you really have to—it’s fragile and high-effort—but until PulseWire implements some simple built-in data storage for scripts, it’s basically the only practical way to save and reload your models.
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Limitations & Notes
* Calculation Limits: This script pushes Pine Script to its absolute edge. If you increase Chunk Size or Hidden Size too much, you WILL hit execution limits. Use the defaults as a baseline.
* Non-Deterministic: Because the "Wheel" picks random chunks for training, two instances of this script might evolve slightly different brains unless you use the Restore Weights feature.
* Experimental: This is a research tool designed to explore Neural Networks and Genetic Algorithms on the chart. Treat it as an educational engine, not financial advice.
Credits: Concept and Engineering by funkybrown. Indicator
Smart Money Structure FilterEnglish Description
Overview
Smart Money Structure Analyzer is a professional trading tool that implements Smart Money Concepts (SMC) to identify key market structure shifts, Break of Structure (BOS), and Change of Character (CHoCH) patterns. This indicator helps traders follow the "smart money" flow by detecting institutional order flow patterns on any timeframe.
Key Features
Swing Point Detection - Identifies significant highs and lows using fractal-based logic
Market Structure Analysis - Classifies market conditions as Uptrend, Downtrend, or Consolidation
Break of Structure (BOS) - Detects when price breaks key structural levels
Change of Character (CHoCH) - Identifies potential trend reversals
Mitigation Levels - Shows potential retracement targets after structure breaks
How It Works
The indicator analyzes price action through several layers:
Swing Detection Algorithm
Uses a configurable swing period (3-21 bars)
Identifies valid swing highs and lows that are confirmed by surrounding price action
Stores the last 20 swings for structure analysis
Structure Determination
Uptrend: Higher Highs (HH) + Higher Lows (HL)
Downtrend: Lower Lows (LL) + Lower Highs (LH)
Consolidation: Mixed structure or ranging market
Break of Structure (BOS) Logic
Bearish BOS: Price closes below the last confirmed Higher Low (HL)
Bullish BOS: Price closes above the last confirmed Lower High (LH)
Change of Character (CHoCH) Logic
Bearish CHoCH: After a bearish BOS, price forms a Lower Low (confirms trend reversal)
Bullish CHoCH: After a bullish BOS, price forms a Higher High (confirms trend reversal)
Mitigation Levels
Calculates potential retracement levels after BOS (typically ±0.2% from broken structure)
Visual Elements
Fractals: Swing points (optional display)
Structure Lines: Last Higher Low (blue) and Last Lower High (purple)
BOS Signals: Triangles marking structure breaks
CHoCH Signals: Circles confirming trend changes
Mitigation Levels: Dotted orange lines for potential retracements
Info Label: Real-time structure status and key levels
Alerts
The indicator provides alerts for:
Break of Structure (BOS) events
Change of Character (CHoCH) confirmations
Settings
Swing Period: Sensitivity of swing detection (default: 3)
Show Fractals: Toggle swing point markers
Show Structure Lines: Display key structure levels
Show Break of Structure: Display BOS signals
Show Change of Character: Display CHoCH signals
Show Mitigation Levels: Display retracement levels
Best Practices
Use on higher timeframes (1H+) for more reliable signals
Combine with volume analysis for confirmation
Wait for CHoCH confirmation before entering trades
Use mitigation levels as potential entry zones
Русское описание
Обзор
Smart Money Structure Analyzer - профессиональный торговый инструмент, реализующий концепции Smart Money (SMC) для определения ключевых сдвигов рыночной структуры, Break of Structure (BOS) и Change of Character (CHoCH). Индикатор помогает отслеживать поток "умных денег", выявляя паттерны институционального ордерного потока на любом таймфрейме.
Ключевые возможности
Определение свингов - Выявляет значимые максимумы и минимумы с помощью фрактальной логики
Анализ структуры рынка - Классифицирует состояние рынка: Восходящий тренд, Нисходящий тренд или Консолидация
Break of Structure (BOS) - Обнаружение пробития ключевых уровней структуры
Change of Character (CHoCH) - Определение потенциальных разворотов тренда
Уровни митигации - Показывает потенциальные цели отката после пробоя структуры
Принцип работы
Индикатор анализирует ценовое действие через несколько уровней:
Алгоритм определения свингов
Использует настраиваемый период свинга (3-21 свечи)
Определяет валидные максимумы и минимумы, подтвержденные окружающим движением цены
Сохраняет последние 20 свингов для анализа структуры
Определение структуры
Восходящий тренд: Higher Highs (HH) + Higher Lows (HL)
Нисходящий тренд: Lower Lows (LL) + Lower Highs (LH)
Консолидация: Смешанная структура или флет
Логика Break of Structure (BOS)
Медвежий BOS: Цена закрывается ниже последнего Higher Low (HL)
Бычий BOS: Цена закрывается выше последнего Lower High (LH)
Логика Change of Character (CHoCH)
Медвежий CHoCH: После медвежьего BOS формируется Lower Low (подтверждает разворот)
Бычий CHoCH: После бычьего BOS формируется Higher High (подтверждает разворот)
Уровни митигации
Расчет потенциальных уровней отката после BOS (обычно ±0.2% от сломанной структуры)
Визуальные элементы
Фракталы: Точки свингов (опционально)
Линии структуры: Последний Higher Low (синий) и последний Lower High (фиолетовый)
Сигналы BOS: Треугольники, отмечающие пробой структуры
Сигналы CHoCH: Круги, подтверждающие изменение тренда
Уровни митигации: Пунктирные оранжевые линии для потенциальных откатов
Инфо-метка: Статус структуры и ключевые уровни в реальном времени
Оповещения
Индикатор предоставляет алерты для:
Событий Break of Structure (BOS)
Подтверждений Change of Character (CHoCH)
Настройки
Период свинга: Чувствительность определения свингов (по умолчанию: 3)
Показывать фракталы: Включение/выключение маркеров свингов
Показывать линии структуры: Отображение ключевых уровней структуры
Показывать Break of Structure: Отображение сигналов BOS
Показывать Change of Character: Отображение сигналов CHoCH
Показывать уровни митигации: Отображение уровней отката
Рекомендации по использованию
Используйте на старших таймфреймах (1H+) для более надежных сигналов
Комбинируйте с анализом объема для подтверждения
Ждите подтверждения CHoCH перед входом в сделку
Используйте уровни митигации как потенциальные зоны входа
Технические особенности
Максимальное количество меток: 500
Работает на любых таймфреймах
Не перерисовывает прошлые сигналы
Эффективно использует ресурсы благодаря ограничению хранения свингов
Индикатор предназначен для трейдеров, работающих с Price Action и концепциями Smart Money, и помогает систематизировать анализ рыночной структуры в соответствии с подходами институциональных трейдеров. Indicator
Custom Dividers [louis]Custom Dividers is a streamlined utility designed for Multi-Timeframe Analysis (MTF). It allows you to visualize higher timeframe structures directly on lower timeframe charts by drawing infinite vertical lines at the open of new periods.
Unlike standard grid lines and other divider indicators, this has custom inputs, giving you complete control over non-standard timeframes (e.g., 90-minute cycles, 6-hour blocks, or 2-day periods).
🔑 Key Features
- 4 Independent Timeframe Slots: Configure up to four different vertical dividers simultaneously.
- Custom Minute Inputs (TF 1 & TF 2): Instead of restricting you to a dropdown, the first two slots allow you to input any integer for minutes.
Example: Set 90 for 90-minute cycle dividers.
Example: Set 360 for 6-hour dividers.
- Standard Timeframe Selectors (TF 3 & TF 4): Traditional dropdowns for standard periods like Daily (D), Weekly (W), or Monthly (M).
- Visual Customization:
Lines: Uses line.new() drawing logic to ensure dividers stretch infinitely from top to bottom, regardless of price scale.
Styles: Select from Solid, Dashed, or Dotted directly in the inputs.
Width & Color: Fully customizable to blend into your chart theme.
⚙️ How to Configure
Go to the Settings (Inputs Tab):
TF 1 & TF 2: Enter the specific number of minutes (e.g., 60 = 1 Hour, 240 = 4 Hours). Toggle the checkbox to Show/Hide.
TF 3 & TF 4: Select the timeframe period from the dropdown. Toggle the checkbox to Show/Hide.
Style: Choose your line style, color, and width.
Note: Since this indicator uses geometric drawings (line.new) to achieve full-height vertical lines, all visual settings (Color, Width, Style) are located in the Inputs Tab, not the Style tab. Indicator
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cephxs + fadi / HTF PSPHTF PSP - PRECISION SWING POINTS
Detect divergence-based Precision Swing Points (PSPs) across multiple higher timeframes with automatic correlated asset detection.
WHAT'S NEW (vs Original HTF Candles)
This indicator builds on @fadizeidan's excellent ICT HTF Candles foundation with significant new functionality, depending on who you ask of course:
✨ PSP Divergence Detection: Automatically identifies Precision Swing Points where price diverges from correlated assets—the original has no divergence analysis
✨ Auto Asset Correlation: Uses AssetCorrelationUtils library to detect and pair correlated assets (ES↔NQ↔DXY, BTC↔ETH, Gold↔Silver, etc.)—no manual setup required
✨ Multi-Asset Comparison: Tracks up to 3 correlated assets simultaneously with divergence relationships between all pairs
✨ Dynamic Asset Reordering: When you switch charts, the indicator automatically reorders assets so your chart is always primary
✨ Inverse Correlation Support: Properly handles inversely correlated assets like DXY (bullish DXY = bearish signal for risk assets)
✨ HTF Sweep Detection: New sweep line feature highlights when HTF candles take out previous highs/lows and close back inside. One of my followers asked me for this, there you go anon.
🔧 Streamlined to 3 HTFs: Focused design with 3 HTF slots (vs 6) for cleaner charts and better performance
The original remains excellent for pure HTF candle visualization. This version adds institutional flow analysis through divergence detection.
WHAT IT DOES
This indicator displays Higher Timeframe (HTF) candles to the right of your chart and highlights Precision Swing Points—pivots where price diverges from correlated assets. When ES makes a new high but NQ doesn't follow, or gold pushes higher while DXY fails to confirm, you're looking at institutional repositioning.
PSPs mark these moments on your HTF candles, giving you a clean visual signal for potential reversals.
HOW IT WORKS
Divergence Detection
The indicator compares price action between your chart and up to two correlated assets. A divergence occurs when one asset makes a directional move (bullish/bearish candle) while a correlated asset moves the opposite direction.
Three divergence relationships are tracked:
Primary vs Secondary (e.g., ES vs NQ)
Primary vs Tertiary (e.g., ES vs DXY)
Secondary vs Tertiary (e.g., NQ vs DXY)
PSP Confirmation
A candle is marked as a PSP when:
A divergence exists between correlated assets
A swing pivot forms (high > previous high AND high > next high, or vice versa for lows)
This dual confirmation filters noise and highlights only meaningful institutional activity.
Automatic Asset Detection
In Auto mode, the indicator uses the AssetCorrelationUtils library to detect your chart's asset class and automatically select the most relevant correlated pairs:
Indices: ES ↔ NQ ↔ DXY, YM ↔ ES ↔ NQ
Forex: EURUSD ↔ DXY ↔ GBPUSD, USDJPY ↔ DXY ↔ US10Y
Crypto: BTC ↔ ETH ↔ DXY
Metals: Gold ↔ Silver ↔ DXY
Energy: CL (Oil) ↔ NG ↔ DXY
HTF Sweep Detection
Sweeps are detected when an HTF candle (C2) takes out the high or low of the previous candle (C1) and then closes back inside. This marks liquidity grabs on the higher timeframe.
HOW TO USE
Enable HTF timeframes: Select 1-3 higher timeframes relevant to your trading style (e.g., 30m, 90m, 4H for intraday traders)
Watch for PSP candles: When a candle body color changes to the divergence color, a PSP has formed
Note the direction: Bullish divergence (your asset bullish while correlated asset bearish) suggests upside; bearish divergence suggests downside
Combine with LTF structure: Use PSPs as bias, then look for entry on lower timeframes (CHoCH, FVG, etc.)
Sweeps confirm liquidity: A sweep followed by a PSP is a strong reversal signal
INPUTS
HTF Selection
HTF 1/2/3: Enable/disable each HTF slot with timeframe and candle count
Custom Daily Open: Use Midnight, 8:30, or 9:30 ET as daily candle open
Styling
Body/Border/Wick Colors: Customize bullish and bearish candle appearance
Padding/Buffer/HTF Buffer: Control spacing between candles and timeframe groups
Labels
HTF Label: Show timeframe name above/below candles
Remaining Time: Countdown to candle close
Label Position: Top, Bottom, or Both
Label Alignment: Align across timeframes or follow individual candles
Interval Value: Show interval details on candles
Imbalance
Fair Value Gap: Highlight FVGs on HTF candles
Volume Imbalance: Highlight VIs on HTF candles
HTF Sweeps: Show sweep lines when C2 takes out C1's high/low
Trace
Trace Lines: Draw lines from HTF candle OHLC levels back to chart price
Anchor: Anchor to first or last timeframe
PSP Divergence Detection
Precise Mode: Only highlight pivots on current asset (stricter confirmation)
Divergence Body Colors: Custom colors for bullish/bearish divergence candles
Asset Selection
Correlation Preset: Auto (library-detected) or Manual
Manual Assets 1/2/3: Specify custom correlated assets
Invert Asset 3: Flip the bullish/bearish interpretation for inverse correlations (e.g., DXY)
KEY FEATURES
Multi-HTF Display: Up to 3 higher timeframes displayed simultaneously
Auto Asset Detection: Automatically finds relevant correlated assets for your chart
Dynamic Reordering: When you switch charts, assets reorder so the chart is always primary
Inverse Correlation Support: Properly handles DXY and other inversely correlated assets
HTF Sweep Detection: Highlights liquidity grabs on higher timeframes
FVG/VI Detection: Fair Value Gaps and Volume Imbalances on HTF candles
Remaining Time Counter: Know exactly when the next HTF candle closes
BEST PRACTICES
Use PSPs as directional bias, not direct entries—wait for LTF confirmation
A PSP at a key level (previous day high, weekly open) carries more weight
Multiple PSPs across different HTFs pointing the same direction = stronger signal
Sweeps that fail to hold (sweep + PSP) often mark significant reversals
In Auto mode, trust the library's asset selection—it's been tuned for common correlations
DISCLAIMER
This indicator is for educational purposes only and does not constitute financial advice. Divergences and PSPs do not guarantee reversals—always use proper risk management and confirm signals with your own analysis. Past performance does not guarantee future results.
CREDITS
Original HTF candle plotting concept by @fadizeidan. PSP divergence detection and asset correlation logic by cephxs & fstarcapital. Uses the AssetCorrelationUtils library by fstarcapital.
Open Sourced For all.
Enjoy.
Made with ❤️ by cephxs + fadi Indicator
Indicator
Michael LipsiusTitle: Michael Multi-Timeframe Trend Dashboard (HTF Bias & LTF Execution)
Description:
Overview This indicator is a specialized Top-Down Analysis tool designed to assist traders in identifying the dominant market direction across multiple timeframes instantly. Built around the principles of Michael's Trading Strategy and institutional trend following, this dashboard eliminates the noise and provides a clear, color-coded directional bias (Prognosis) for both High Time Frame (HTF) structure and Low Time Frame (LTF) momentum.
Core Functionality The dashboard generates a real-time matrix displayed directly on the chart, analyzing price action relative to the 50-period Exponential Moving Average (EMA). This specific metric is chosen to filter out minor fluctuations and reveal the true institutional flow of money.
1. High Time Frame (HTF) Prognosis – The "Compass" The indicator monitors the Daily (D1) and 4-Hour (H4) timeframes to establish the macro trend.
Bullish 🟢: Price is holding above the 50 EMA. This indicates that Smart Money is accumulating, and traders should focus primarily on Long setups.
Bearish 🔴: Price is trading below the 50 EMA. This suggests institutional distribution, meaning Short setups have a higher probability of success.
Purpose: The HTF modules act as your safety filter. By respecting the D1/H4 signals, you avoid trading against the major trend, significantly reducing the risk of being stopped out by macro flows.
2. Low Time Frame (LTF) Execution – The "Trigger" Simultaneously, the indicator analyzes the 1-Hour (H1) and 15-Minute (M15) timeframes.
These timeframes are crucial for timing entries and managing intraday volatility.
Conflict Warning: If the HTF is Bullish (Green) but the LTF is Bearish (Red), the market is likely in a pullback phase. This warns the trader to wait for the LTF to realign with the HTF before entering.
How to Use This Tool This dashboard is designed to be the first step in your trading routine:
Check Confluence: Look for a "Full Green" or "Full Red" board. When D1, H4, and H1 align, the probability of a successful trade increases exponentially.
Identify Pullbacks: If D1/H4 are Green, but M15 is Red, do not sell. Instead, treat this as a discount phase and wait for the M15 to flip back to Green for a high-precision entry.
Risk Management: Use the HTF bias to determine your risk exposure. Trade with full risk only when HTF and LTF are aligned.
Settings & Customization
Table Position: Fully adjustable (Top Right, Bottom Right, etc.) to fit your workspace.
EMA Period: Default is set to 50 (Standard Michael Strategy), but can be adjusted to fit other strategies.
Visuals: Clean, non-intrusive design with clear color coding for instant readability.
Disclaimer This tool is for informational purposes only and serves as a trend-confirmation aid. It should be used in conjunction with price action analysis, key levels, and proper risk management. Indicator
Indicator
Delta Microstructure AnalysisDelta Microstructure Analysis
Market microstructure analysis using footprint data for divergence, exhaustion, absorption, and trapped trader detection
Overview
Delta Microstructure Analysis is an order flow indicator that uses PulseWire's footprint data to identify market conditions including divergences, exhaustion patterns, absorption zones, and trapped trader scenarios. The indicator calculates delta at each bar and tracks cumulative delta to identify potential reversals and continuations.
Key Features
Footprint Data Integration: Uses PulseWire's built-in footprint data for accurate buy/sell volume delta calculation. Falls back to synthetic delta calculation when footprint data is unavailable.
Adaptive Tick Calculation: Automatically adjusts footprint tick size based on asset type and timeframe. Baseline values: crypto (200), forex (10), stocks (5), indices/futures (1), with timeframe scaling.
Cumulative Volume Delta (CVD): Tracks cumulative delta with reset options (None, Daily, Fixed Bars) to identify overall buying/selling pressure trends.
Divergence Detection: Identifies bullish and bearish divergences between price action and cumulative delta using configurable pivot strength (3-20 bars).
Exhaustion Pattern Recognition: Detects buying and selling exhaustion when delta exceeds configurable multiplier (2.0-10.0x) of average delta over lookback period (10-100 bars).
Absorption Zone Analysis: Identifies areas where aggressive orders are absorbed by resting liquidity, indicating potential support/resistance zones.
Trapped Trader Detection: Recognizes scenarios with strong initial momentum followed by sharp reversals, suggesting trapped positions.
Visual Labeling System: Displays signals as monospace labels (DIV↑/DIV↓, EXH↑/EXH↓, ABS↑/ABS↓, TRAP↑/TRAP↓) above/below candles.
Info Table Display: Shows current CVD, delta, average delta, data source, and active signals in a monospace-formatted table.
Alert System: Individual alerts for each signal type (divergences, exhaustion, absorption, trapped traders).
How It Works
Footprint Data Request: The indicator requests footprint data using adaptive tick sizing. If unavailable, uses synthetic delta calculation based on candle characteristics.
Delta Calculation: For footprint data, uses fp.delta() function. For synthetic delta, considers body size, wick analysis, and volume characteristics.
Cumulative Delta Tracking: Maintains running cumulative delta that resets based on selected mode (daily session changes or fixed bar intervals).
Pivot Detection: Uses configurable pivot strength to identify significant highs and lows in both price and cumulative delta.
Divergence Analysis: Compares price pivots with cumulative delta pivots. Bullish divergence: lower price lows with higher delta lows. Bearish divergence: higher price highs with lower delta highs.
Exhaustion Detection: Calculates average absolute delta over lookback period and identifies when current delta exceeds multiplier threshold.
Absorption Identification: Analyzes footprint patterns to detect when aggressive orders are met with sufficient resting liquidity.
Trapped Trader Recognition: Identifies strong momentum followed by sharp reversals using proprietary pattern recognition.
Signal Display: Shows signals as labels on chart and summarizes in info table with current market conditions.
Use Cases
Divergence Trading: Use divergence signals to identify potential trend reversals before they appear in price action.
Exhaustion Monitoring: Identify when buying or selling pressure may be exhausted, suggesting potential reversals.
Support/Resistance Levels: Use absorption zones to identify key price levels where institutional activity occurs.
Risk Management: Use trapped trader signals to anticipate sharp reversals and adjust position sizing.
Market Structure Analysis: Understand underlying order flow dynamics driving price movements.
Confirmation Tool: Combine with other technical indicators to confirm signals and improve trade probability.
Settings
Footprint Settings:
Use Footprint Data: Toggle between footprint and synthetic delta
Tick Size Mode: Auto (adaptive) or Manual tick sizing
Tick Density Multiplier: Adjusts price bucket size in footprint data
Manual Footprint Ticks: Custom tick size for Manual mode
CVD Settings:
CVD Reset Mode: None, Daily, or Fixed Bars
Reset Every N Bars: Number of bars between resets (10-1000)
Divergence Settings:
Pivot Strength: Bars required for pivot detection (3-20)
Show Divergence Lines: Toggle line display
Bullish/Bearish Divergence Color: Custom colors
Divergence Line Width: Line thickness (1-5)
Exhaustion Settings:
Delta Multiplier: Threshold multiplier (2.0-10.0)
Lookback for Avg Delta: Period for average calculation (10-100)
Show Exhaustion Markers: Toggle signal display
Display Options:
Show Info Table: Toggle table display
Table Position: Choose table location on chart
Table Styling:
Background, text, and border colors
Header styling options
Label Styling:
Label text color
Alert Settings:
Individual toggles for each signal type
Technical Notes
The indicator uses PulseWire's footprint functions (request.footprint(), fp.delta()) for order flow analysis.
Adaptive tick calculation converts all timeframes to minutes for consistent scaling across chart intervals.
Synthetic delta calculation uses body size (70% weight), wick analysis, and body-to-range ratio for fallback when footprint data unavailable.
The indicator uses barstate.isconfirmed for calculations to prevent repainting.
All text displays use monospace font for consistent readability.
Table displays current CVD, delta, average delta, data source, and active signals in real-time.
Best Practices
Use on symbols where footprint data is available for most accurate analysis.
Combine divergence signals with price action for higher probability setups.
Monitor exhaustion signals in context of overall trend direction.
Pay attention to absorption zones at key technical levels.
Use trapped trader signals as early warning for potential reversals.
Adjust pivot strength based on trading timeframe (lower for shorter timeframes).
Consider data source indicator - synthetic delta may be less reliable than footprint data.
Set up alerts for preferred signal types when monitoring multiple symbols.
This indicator analyzes market microstructure using footprint data to identify divergences, exhaustion, absorption, and trapped trader patterns. Indicator
