Binance Z VolumeBTC perpetual volume on Binance is about 4x spot volume.
Comparing spot and perpetual volumes could provide useful insights into market sentiment.
Abnormal increases in the spot market could be associated with accumulation. Abnormal increases in the perpetual market, on the other hand, could predict volatility as well lows and highs.
This script represents a Z-score of the volume of perpetual and 4xspot on Binance.
High values above 0 mean that the volume is skewed towards perpetual contracts. Values below 0 mean that the volume is skewed towards spot contracts.
Feel free to suggest changes and improvements of this script.
Translated with www.DeepL.com (free version)
BIO
Tìm kiếm tập lệnh với "accumulation"
Cumulative Volume v3The script, for Pine Script version 3, shows how to accumulate volume values during a defined session/period.
The input is the period to use for accumulation. "D" is the default value, useful to view data for each session.
This is slower than version 4 because there is no "var" and you need to use a loop. Also, you can't use "sum( volume , cnt_new_day)" with a variable length argument instead of "for".
Relative Volume Strength IndexRVSI is an alternative volume-based indicator that measures the rate of change of average OBV.
How to read a chart using it?
First signal to buy is when you see RVSI is close to green oversold levels.
Once RVSI passes above it's orange EMA, that would be the second alert of accumulation.
Be always cautious when it reaches 50 level as a random statistical correction can be expected because of "market noises".
You know it's a serious uptrend when it reaches above 75 and fluctuates there, grading behind EMA.
The best signal to sell would be a situation where you see RVSI passing below it's EMA when the whole thing is close to Red overbought level
It looks simple, but it's powerful!
I'd use RVSI in combination with price-based indicators.
Cumulative VolumeThe script shows how to accumulate volume values during a defined session/period.
The input is the period to use for accumulation. "D" is the default value, useful to view data for each session.
X-volume assessment numberSee source code for more details. Src1 = distribution and Src2 = accumulation.
SN Smoothed Balance of Power v2Hi all,
here is an updated version of the indicator script I published yesterday.
The goal of this indicator is to try and find darkpool activity. The indicator itself is not enough to fully identify darkpool but it should be able to detect quiet accumulation. What makes this Balance of Power different from others on TV is that it is smoothed by using a moving average.
Notes:
- The values that are default are completely arbitrary except for the VWMA length (a 14-day period for the 1D chart is the norm). For instance the limit where it shows red/green I picked because it works best for the 1D chart I am using. Other TF's and charts will need tweaking of all the values you find in the options menu to get the best results.
- I modified the indicator such that it is usable on charts that do not show volume. HOWEVER, this chart is default to NYMEX: CL1!. To get different volume data this needs to be changed in the option menu.
- I am in no way an expert on darkpool/HFT trading and am merely going from the information I found on the internet. Consider this an experiment.
Credits:
- Lazybear for some of the plotting-code
- Igor Livshin for the formula
- TahaBintahir for the Symbol-code (although I'm not sure who the original author is...)
Indicators: Volume Zone Indicator & Price Zone IndicatorVolume Zone Indicator (VZO) and Price Zone Indicator (PZO) are by Waleed Aly Khalil.
Volume Zone Indicator (VZO)
------------------------------------------------------------
VZO is a leading volume oscillator that evaluates volume in relation to the direction of the net price change on each bar.
A value of 40 or above shows bullish accumulation. Low values (< 40) are bearish. Near zero or between +/- 20, the market is either in consolidation or near a break out. When VZO is near +/- 60, an end to the bull/bear run should be expected soon. If that run has been opposite to the long term price trend direction, then a reversal often will occur.
Traditional way of looking at this also works:
* +/- 40 levels are overbought / oversold
* +/- 60 levels are extreme overbought / oversold
More info:
drive.google.com
Price Zone Indicator (PZO)
------------------------------------------------------------
PZO is interpreted the same way as VZO (same formula with "close" substituted for "volume").
Chart Markings
------------------------------------------------------------
In the chart above,
* The red circles indicate a run-end (or reversal) zones (VZO +/- 60).
* Blue rectangle shows the consolidation zone (VZO betwen +/- 20)
I have been trying out VZO only for a week now, but I think this has lot of potential. Give it a try, let me know what you think.
CPR OI Toolkit - All in one indicatorThis is experimental indicator which is an extend my pre triple EMA indicator. I have been using this indicator to identify potential entry and exit for commodity market. I had used it for couple of week and it helps.
I would like to share with you. It is meant identify and analyze then plan your trade. I have developed this indicator using Google Antigravity , which is an awesome tool for developing trading indicator and strategies.
My CPR OI tool kit includes following.
Triple EMA
Stochastic - for trend catching
Previous Low/high base trial and visual indication
Price action concepts
Reversion logic.
Visual indication - buy / sell / setup initialization / exit
Visual dashboard.
---
## 🎨 Visual Signal Guide
| Marker | Meaning | Action |
|--------|---------|--------|
| 🔵 Tiny Blue Circle | Stochastic bullish setup START | Wait for EMA + breakout |
| 🟢 Green Triangle UP | **LONG ENTRY** - All conditions met | **ENTER LONG** |
| 🔴 Red Triangle DOWN | **SHORT ENTRY** | **ENTER SHORT** |
| 🟠 Orange Circle | **EXIT** - EMA1/2 cross | **CLOSE POSITION** |
| 💧 Aqua "R" | Mean reversion long | Scalp opportunity |
| 💜 Fuchsia "R" | Mean reversion short | Scalp opportunity |
---
## 💰 Open Interest Interpretation
| Status | Price vs Prev | OI Change | Meaning |
|--------|---------------|-----------|---------|
| **Long Accumulation**🟢 | ↑ | ↑ | Bulls building positions |
| **Short Accumulation**🔴 | ↓ | ↑ | Bears building positions |
| **Short Covering**🟡 | ↑ | ↓ | Bears exiting (bullish) |
| **Long Unwinding**🟠 | ↓ | ↓ | Bulls exiting (bearish) |
---
## 🔔 Alerts (All Enabled by Default)
1. "LONG Signal | Stochastic confirmed | EMA Bullish"
2. "SHORT Signal | Stochastic confirmed | EMA Bearish"
3. "EMA Alignment: BULLISH/BEARISH"
4. "Position CLOSED - Trailing Stop Hit"
---
Super AccumulatorThis indicator is designed to make Accumulation/Distribution (A/D) movements more visible and easier to interpret.
Under normal conditions, accumulation and distribution activity can be hard to spot on the chart, especially with short-term volume signals. To address this, we visualized the A/D difference as a histogram, allowing you to quickly assess buying and selling pressure.
Additionally, the histogram is combined with the SuperTrend indicator to clearly show the trend direction on the panel. Buy signals are displayed as yellow circles, sell signals as red circles, providing an immediate view of both momentum and trend direction.
When used alongside other indicators, this setup becomes a powerful tool for trend-following and volume-based strategies.
Note: This indicator is not a standalone buy/sell signal; always use it with proper risk management.
SMART MONEY SMT+BOS+ENTRYThis advanced trading indicator combines Smart Money Theory (SMT) and Break of Structure (BOS) analysis with synchronized multi-asset monitoring. The core concept identifies institutional activity by detecting discrepancies between correlated assets, revealing potential accumulation zones and reversal points before they become apparent to retail traders.
Key Features
Smart Money Detection:
Real-time divergence analysis between two selected assets (e.g., BTC/ETH, Gold/Silver, Currency pairs)
Identification of institutional accumulation/distribution patterns
Trend confirmation through structural sweeps and momentum shifts
Structural Analysis:
Break of Structure (BOS) detection with multi-factor confirmation
ATR-based candle size filtering to eliminate false breakouts
Clear structural shift identification with visual confirmation
Risk-Managed Execution:
Dual entry modes: Immediate (on BOS close) or Retest (on pullback to level)
Automated stop-loss placement at last structural extreme
Dynamic take-profit calculation based on user-defined risk/reward ratio
Support for long-only, short-only, or bidirectional trading strategies
Visual Interface
Colored arrows signaling buy/sell opportunities at optimal entry points
Real-time stop-loss and take-profit level visualization
SMT divergence markers above/below price action
Structural level indicators for clear market context
Configuration Options
Asset Pair Selection - Primary and secondary symbols for comparative analysis
Trading Direction - Long, Short, or Both directions
Swing Sensitivity - Adjustable pivot point detection period
Risk/Reward Ratio - Customizable profit targets relative to risk
BOS Confirmation Filter - Minimum candle body size requirement via ATR percentage
Optimal Application
Best performance on correlated assets (crypto pairs, commodities, indices)
Effective across multiple timeframes (M15 for entries, H4/D1 for context)
Combines well with volume profile and order flow analysis
Suitable for both discretionary and systematic trading approaches
Technical Advantages
Dual-asset synchronization for early signal detection
Multi-layer filtering system reducing false positives
Integrated risk management with visual guidance
Customizable sensitivity for different market conditions
Русская версия
Индикатор Smart Money Theory (SMT) + Break of Structure (BOS)
Обзор
Этот продвинутый торговый индикатор объединяет анализ Smart Money Theory (SMT) и Break of Structure (BOS) с синхронизированным мониторингом нескольких активов. Основная концепция выявляет активность институциональных игроков путем обнаружения расхождений между коррелирующими активами, показывая зоны накопления и точки разворота до того, как они становятся очевидными для розничных трейдеров.
Ключевые возможности
Детекция "умных денег":
Анализ дивергенций в реальном времени между двумя выбранными активами
Выявление паттернов накопления/распределения институциональными участниками
Подтверждение тренда через структурные сдвиги и изменения импульса
Структурный анализ:
Обнаружение Break of Structure (BOS) с многофакторным подтверждением
Фильтрация по размеру свечи на основе ATR для устранения ложных пробоев
Четкая идентификация структурных сдвигов с визуальным подтверждением
Управление рисками:
Два режима входа: Немедленный (при закрытии BOS) или Ретест (при откате к уровню)
Автоматическое размещение стоп-лосса на последнем структурном экстремуме
Динамический расчет тейк-профита на основе заданного риск-риворда
Поддержка лонг-стратегий, шорт-стратегий или обоих направлений
Визуальный интерфейс
Цветные стрелки, сигнализирующие о точках входа на покупку/продажу
Визуализация уровней стоп-лосса и тейк-профита в реальном времени
Маркеры SMT-дивергенций над/под ценовым действием
Индикаторы структурных уровней для четкого контекста рынка
Настройки
Выбор пары активов - Основной и вторичный символы для сравнительного анализа
Направление торговли - Лонг, Шорт или Оба направления
Чувствительность свингов - Настраиваемый период детекции точек разворота
Коэффициент риск/вознаграждение - Настраиваемые цели по прибыли относительно риска
Фильтр подтверждения BOS - Минимальный размер тела свечи в процентах от ATR
Оптимальное применение
Наилучшие результаты на коррелирующих активах (криптопары, товары, индексы)
Эффективен на различных таймфреймах (M15 для входов, H4/D1 для контекста)
Хорошо сочетается с анализом Volume Profile и ордерного потока
Подходит как для дискреционного, так и для системного трейдинга
Технические преимущества
Синхронизация двух активов для раннего обнаружения сигналов
Многоуровневая система фильтрации, снижающая ложные срабатывания
Интегрированное управление рисками с визуальным сопровождением
Настраиваемая чувствительность под разные рыночные условия
Volume Divergence Detector - COT EnhancedVolume Divergence Detector – COT Enhanced
This advanced indicator analyzes institutional vs retail money flow to uncover hidden market intent, focusing on Gold and Gold Futures.
Instead of relying on simple volume spikes, the script separates smart money (institutions, commercial hedgers, large speculators) from retail traders using a blend of:
Volume-based accumulation/distribution
Price momentum
RSI behavior
MACD divergence
Institutional-sized volume detection
Optional real CFTC Commitment of Traders (COT) data
The result is a dynamic money-flow model designed to expose who is truly controlling the market.
🔹 Institutional Flow Engine
Large-volume activity is tracked and converted into a smoothed institutional money line. Heavy volume is weighted more aggressively to highlight professional accumulation and distribution. When volume fades, flow naturally decays to avoid stale signals.
If enabled, weekly CFTC COT data is blended into the calculation (70% internal model, 30% real positioning), providing genuine futures-market confirmation for Gold.
Positive values indicate institutional buying.
Negative values indicate institutional selling.
🔹 Retail Flow Engine
Retail behavior is modeled using:
RSI momentum (retail follows trends)
MACD breakout behavior
Smaller volume spikes
Retail flow reacts faster and decays quicker, reflecting emotional trading and late entries. Extreme retail positioning often signals potential reversals.
🔹 Core Signals
The indicator automatically detects:
Institutional Takeover
When institutional flow crosses above retail.
Retail Takeover
When retail flow crosses above institutions (often a warning sign).
Bullish Setup
Institutions buying + retail selling.
Bearish Setup
Institutions selling + retail buying.
Extreme Divergence
Institutional and retail flows at opposite extremes. These zones often precede major reversals or powerful trend continuations.
Clear BUY / SELL labels appear directly on the chart, positioned dynamically using ATR to avoid candle overlap.
🔹 Visual Feedback
Background shading shows which side currently dominates
Extreme divergence adds special highlighting
Real-time labels display institutional and retail values
A built-in information table summarizes:
Institutional flow
Retail flow
Dominant side
Flow spread
Current signal
COT status
Everything updates live on the last bar.
🔹 Alerts Included
Custom alerts are provided for:
Institutional control
Retail control
Bullish setups
Bearish setups
Extreme divergence
Perfect for automation or hands-off monitoring.
⚠️ Important Notes
COT data works only on Gold Futures symbols.
Spot Gold uses volume-based estimation only.
Designed for directional bias and timing, not blind entries. Always confirm with structure and price action.
Created by xqweasdzxcv
A professional-grade money flow system built to follow smart capital instead of emotional traders.
Finger Print.Finger Print.
Isolates and Accumulates the "True" components of each candle:
- True Upper Wick (buying pressure beyond the body)
- True Body (conviction from open to close)
- True Lower Wick (selling pressure beyond the body).
By measuring each non-overlapping extension (true wicks) and the directional body separately, the indicator reveals building Pressure (wick accumulation) versus actual Conviction (body momentum) over a user-defined sum of bars.
Three cumulative lines track these Raw forces, while three Smoothing agents highlight sustained momentum and trend strength.
Dual Background Flashes highlight Historical extremes measured as Percentile given the Lookback period. Source any Component / Smoother line from Zero % Line, or Wick-to-Wick / Smoother-to-Smoother Spread – flagging unusually wide/tight conviction gaps or pressure imbalances.
The result is a clean, pressure-focused oscillator that separates noise from genuine directional force, helping traders spot Accumulation , Exhaustion , or Hidden Strength before price confirms it.
ICT Power of 3 identify the high-probability Power of 3 pattern by analyzing price behavior rather than just specific times of day. It focuses on how the market builds, traps, and then expands.
1. Accumulation (The Setup)
Logic: The script monitors volatility using the Average True Range (ATR). When volatility drops below its recent average, the script recognizes that orders are being "accumulated."
Visual: A Blue Dotted Box appears. This marks the equilibrium zone where buy and sell side liquidity is being engineered above and below the high/low of the range.
2. Manipulation (The Trap)
Logic: The script looks for a "Sweep." This is defined as price moving outside the blue accumulation box but failing to sustain that move. In the video, this is the "Judas Swing" or false breakout.
Visual: A Red Diamond appears above or below the bar. This signals that the script has detected a liquidity grab—essentially, the market has "tricked" breakout traders into the wrong side of the market.
3. Distribution (The Expansion)
Logic: This is identified through Displacement. The script calculates the average candle body size. When a candle appears that is significantly larger (based on your Displacement Multiplier), it confirms that "Smart Money" has entered the market.
Visual: A Green Triangle appears. This marks the start of the distribution phase, which is the "meat" of the move where you want to be positioned.
Micha Stocks Buyers Breakout RatingMicha Stocks Buyers Breakout Rating (ByBr)
========================================
This indicator is a custom rating system designed to identify high-probability "Buy" setups by analyzing Volume Conviction, Price Action, and Seller Exhaustion. It assigns a rating from 4 to 10 for every valid signal, helping traders filter out weak breakouts and focus on high-conviction moves.
How it Works The script uses a multi-tiered logic system to grade every green candle:
1. Volume Tiers (The Engine)
--Extreme Conviction (Rating 10): Volume is 2.5x higher than the short-term average.
--High Conviction (Rating 7-8): Volume is 1.5x higher than the short-term average.
2. Sustained Accumulation (Rating 5-6) Identifies persistent buying pressure where the last X -----bars (default 5) have all been green/up candles.
--Bonus Points The script awards extra points to the base rating for high-quality candle shapes:
--Strong Close: Price closes in the top 25% of the daily range.
--Hammer Candle: Long lower wick (rejection of lows) with a small body.
3. Seller Exhaustion (The Reversal - Rating 3-4) This logic identifies "dip buys" where sellers have lost control. It requires:
--Downtrend: Price is below the recent high.
--Confirmation: Either a "Volume Washout" (recent panic selling) or a "Supply Dry Up" (volume dropping below average).
How to Use
--------------
Look for Triangles: A triangle appears below the bar when a signal is detected.
Read the Number: The number (4-10) indicates the strength of the signal.
10: Extreme Volume Breakout (highest confidence).
7-8: Strong Volume Breakout.
4: Reversal/Dip Buy opportunity (Seller Exhaustion).
Tooltip: Hover over the label to see exactly which logic triggered the signal (e.g., "Extreme Conviction" vs "Sustained Accumulation").
Settings
----------
Short Lookback: Adjust the sensitivity of the trend detection (Default: 5).
Volume Multipliers: Adjust how strict the volume requirements are for high ratings.
BERNA (Boundary-Encoded Resonance Network Architecture)BERNA — Boundary-Encoded Resonance Network Architecture
BERNA is a research-grade indicator that estimates the remaining structural capacity of the current market regime.
Unlike trend, volatility, or momentum tools, BERNA does not measure price direction — it measures how much of the regime’s internal capacity has already been consumed.
This script implements the BERNA model published on Zenodo (Bülent Duman, 2026).
It is intentionally minimal and uses only OHLC data.
What BERNA measures
BERNA outputs a structural capacity state:
τ = Σ / Θ (normalized structural stress)
Λ = Θ − Σ (remaining structural capacity)
Interpretation:
High Λ / low τ → the regime has structural endurance
Rising τ → capacity is being consumed
τ → 1 (Λ → 0) → rupture proximity (capacity exhaustion)
This makes BERNA a forward-looking structural capacity variable, not a price oscillator.
What is inside this script
This implementation contains the following components:
Efficiency proxy (DERYA-like, but not the full public DERYA)
BERNA uses a simple microstructure efficiency proxy computed as:
E = |close − open| / (high − low)
This is conceptually “DERYA-like” but it is not the full DERYA framework.
No external/public DERYA source code is embedded here.
Standard technical primitives used
This script uses only basic primitives commonly found in technical analysis:
Absolute value and range normalization
Thresholding (regime binning)
Power transform on range (rng^p)
There is no EMA, RSI, MACD, ATR, ADX, Fisher, Kaufman, or other indicator embedded.
All computations are internal and deterministic.
3-state structural regime binning (K = 3)
The efficiency proxy E is discretized into three regimes using user thresholds:
Low efficiency
Mid efficiency
High efficiency
Each regime has its own capacity Θ and stress multiplier β.
Structural stress accumulation (Σ) and rupture proximity
Stress increment is defined as:
dΣ = β · (1 − E) · (range^p)
Σ accumulates inside a regime and is capped by Θ.
In this prototype, Σ resets on regime change by construction (regime-gated accumulation).
The rupture proximity is expressed through τ and Λ.
How to use BERNA
BERNA is designed as a regime-health and fragility overlay, not a buy/sell trigger.
Typical uses:
Detect when an ongoing move is structurally late-stage (τ high, Λ low)
Avoid initiating trades when capacity is nearly exhausted
Compare structural resilience across assets and regimes
Use alongside price/trend/volume systems for context
Do not use BERNA alone as a trading signal.
BERNA tells you “how much structure is left”, not “where price will go.”
Visuals
Efficiency (E) shows the bar-level microstructure efficiency proxy
τ shows normalized structural stress (capacity consumption)
Λ shows remaining structural capacity
Dotted lines mark warning and critical rupture proximity levels
Important notes
BERNA is not RSI, MACD, ATR, ADX, Fisher, Kaufman, or a volatility model
BERNA does not predict price direction
BERNA does not issue entry/exit signals
BERNA is a structural capacity diagnostic
This script does not embed any external/public indicator code; all logic is implemented directly in Pine.
Risk and disclaimer
This script is provided for research and analytical purposes only.
It is not financial advice and must not be used as a standalone trading system.
Markets are uncertain.
All trading decisions and risks remain entirely the responsibility of the user.
BERNA: Boundary-Encoded Resonance Network Architecture
A Structural Failure Theory of Financial Regimes Based on Endogenous Capacity Depletion
Author: Duman, Bülent
Affiliation: Independent Researcher
Reference: zenodo.org
papa experiment//@version=6
indicator("Edufx AMD", shorttitle="Edufx AMD", overlay=true)
// ───── Inputs ─────
timezone = input.string("America/New_York", "Timezone")
enableDailyCycles = input.bool(true, "Enable Daily Cycles")
colorAcc = input.color(color.new(color.gray, 80), "Accumulation")
colorManip = input.color(color.new(color.red, 80), "Manipulation")
colorDist = input.color(color.new(color.green, 80), "Distribution")
// ───── Daily Anchor (NY 8PM) ─────
var int dayStart = na
if na(dayStart) or time >= dayStart + 86400000
dayStart := timestamp(timezone, year, month, dayofmonth, 20, 0)
accEnd = dayStart + 9 * 60 * 60 * 1000
manEnd = dayStart + 15 * 60 * 60 * 1000
distEnd = dayStart + 24 * 60 * 60 * 1000
// ───── State ─────
var float accLo = na
var float accHi = na
var float manLo = na
var float manHi = na
var float disLo = na
var float disHi = na
var bool accDone = false
var bool manDone = false
var bool disDone = false
// ───── Daily AMD ─────
if enableDailyCycles
// Accumulation
if time >= dayStart and time < accEnd
accLo := na(accLo) ? low : math.min(accLo, low)
accHi := na(accHi) ? high : math.max(accHi, high)
if time >= accEnd and not accDone and not na(accLo)
box.new(dayStart, accHi, accEnd, accLo,
xloc=xloc.bar_time, bgcolor=colorAcc, border_color=colorAcc)
accDone := true
// Manipulation
if time >= accEnd and time < manEnd
manLo := na(manLo) ? low : math.min(manLo, low)
manHi := na(manHi) ? high : math.max(manHi, high)
if time >= manEnd and not manDone and not na(manLo)
box.new(accEnd, manHi, manEnd, manLo,
xloc=xloc.bar_time, bgcolor=colorManip, border_color=colorManip)
manDone := true
// Distribution
if time >= manEnd and time < distEnd
disLo := na(disLo) ? low : math.min(disLo, low)
disHi := na(disHi) ? high : math.max(disHi, high)
if time >= distEnd and not disDone and not na(disLo)
box.new(manEnd, disHi, distEnd, disLo,
xloc=xloc.bar_time, bgcolor=colorDist, border_color=colorDist)
disDone := true
// Reset
if time >= distEnd
accLo := na
accHi := na
manLo := na
manHi := na
disLo := na
disHi := na
accDone := false
manDone := false
disDone := false
Smart Money Structure | GainzAlgo📊 OVERVIEW:
================
Smart Money Structure Analysis is a professional-grade market structure and order-flow system designed to identify institutional trading behavior through volatility-adaptive logic, multi-timeframe trend alignment, and volume-based confirmation.
This indicator implements original mathematical models to detect Change of Character (CHoCH), Break of Structure (BOS), cumulative volume dynamics, and trend convergence across seven timeframes — delivering high-probability trade signals with significantly reduced noise.
Unlike basic indicator combinations, this system functions as a unified trading framework, where volatility adaptation, structure analysis, and volume confirmation continuously reinforce each other to provide precise, context-aware signals.
⭐ WHY THIS SYSTEM IS UNIQUE AND WORTHY OF PUBLICATION:
=====================================================
This is not a collection of common indicators placed together.
Smart Money Structure Analysis represents a cohesive institutional methodology, engineered so that:
- Volatility adjusts signal sensitivity in real time
- Multi-timeframe trends define directional bias
- Market structure determines timing
- Volume confirms institutional participation
- Advanced filters eliminate low-quality setups
Each component is mathematically linked to the others, creating a workflow that cannot be replicated by stacking separate indicators.
🔗 SYNERGISTIC INTEGRATION – HOW THE SYSTEM WORKS TOGETHER:
==========================================================
🧠 1. CONTEXT-AWARE VOLATILITY ADAPTATION
ATR-based volatility logic dynamically adjusts all momentum thresholds:
- Higher volatility → stronger confirmation required
- Lower volatility → sensitivity increases to capture valid moves
This prevents over-signaling in choppy markets and under-signaling during expansion phases — a core flaw in static indicators.
📐 2. MULTI-TIMEFRAME TREND CONVERGENCE ENGINE
Seven timeframes are analyzed simultaneously:
1M • 5M • 15M • 30M • 1H • 4H • 1D
Each timeframe is scored using EMA + VWAP alignment, producing a composite Trend Strength Score from -100 to +100.
The stronger the alignment across timeframes, the higher the probability of continuation — instantly visible through the real-time dashboard.
🏗️ 3. INSTITUTIONAL MARKET STRUCTURE (CHoCH & BOS)
The system automatically identifies the two core smart money concepts:
- CHoCH (Change of Character):
Signals potential trend exhaustion or reversal zones
- BOS (Break of Structure):
Confirms trend continuation and institutional commitment
Structure zones are visualized with persistent, color-coded levels and clouds, providing precise contextual timing rather than lagging signals.
📊 4. CUMULATIVE VOLUME DELTA (CVD) CONFIRMATION
CVD tracks the cumulative difference between buying and selling pressure:
- Rising CVD → accumulation
- Falling CVD → distribution
- Divergence vs price → early reversal warning
Volume participation is categorized into Low / Medium / High, adding depth beyond simple volume bars.
🛡️ 5. SIX-LAYER PROFESSIONAL SIGNAL FILTERING
Every signal must pass through up to six independent confirmation layers:
1. Volatility-adjusted momentum
2. Higher timeframe trend alignment
3. Lower timeframe conflict prevention
4. Institutional volume confirmation
5. Structural breakout validation
6. Repeated-signal restriction
This dramatically reduces false positives while preserving only high-quality institutional setups.
🧮 DETAILED CORE SYSTEMS:
========================
📏 ADAPTIVE MOMENTUM FORMULA
- Momentum Threshold = Base × (1 + (ATR ÷ Price) × 2)
- Pre-Momentum Factor = Base × (1 − (ATR ÷ Price) × 0.5)
📊 TREND STRENGTH CALCULATION
- Trend Strength = (Sum of 7 timeframe scores ÷ 7) × 100
📦 CVD LOGIC
- Close > Previous Close → Buy volume added
- Close < Previous Close → Sell volume subtracted
- Cumulative sum reveals institutional intent
🧠 STRUCTURE DETECTION
- Pivot-based swing logic
- Candle confirmation
- Configurable lookback periods
- Non-repainting visualization
🧩 ADVANCED ANALYSIS TOOLS:
==========================
🧲 LIQUIDITY ZONE DETECTION
Identifies probable retail stop-loss clusters where institutions often initiate stop hunts before true directional moves.
📦 MARKET PROFILE & ORDER FLOW IMBALANCE
Detects buy/sell dominance using volume ratios, highlighting accumulation and distribution zones before large price moves.
🔄 RSI DIVERGENCE SCANNER
Identifies bullish and bearish divergences that frequently precede structure shifts and trend reversals.
🎨 VISUAL SYSTEM & DASHBOARD:
============================
📊 SMART MONEY MATRIX
- Composite trend strength
- System confidence %
- CVD value
- Directional grid for all timeframes
📈 TREND PREDICTION MATRIX (Optional)
Forecasts short-term directional bias using trend, momentum, and volatility data.
🏷️ SIGNAL LABELS
- BUY / SELL → Fully confirmed entries
- READY → Momentum building
- BOS / CHoCH → Structure events
- FLOW / LIQ / BULL / BEAR → Advanced confirmations
⚙️ CORE FEATURES:
================
1. Multi-Timeframe Trend Convergence
2. Smart Money Structure Detection (CHoCH & BOS)
3. Adaptive Volatility-Based Momentum
4. Cumulative Volume Delta (CVD)
5. Six-Layer Signal Filtering
6. Liquidity Zone Detection
7. Order Flow & Market Profile Analysis
8. Divergence Scanner
9. Dynamic Trendlines
10. Institutional-Grade Dashboard
📘 WHO THIS INDICATOR IS FOR:
============================
- Scalpers: Noise-filtered precision on lower timeframes
- Day Traders: High-probability continuation setups
- Swing Traders: Multi-timeframe alignment & structure zones
- Reversal Traders: Divergence + CHoCH confirmation
⚠️ IMPORTANT DISCLAIMER:
========================
This indicator is a technical analysis and educational tool only.
It does not provide financial advice or trade recommendations.
Trading involves substantial risk, and losses are a natural part of trading.
Past performance does not guarantee future results.
All trading decisions remain the sole responsibility of the user.
ICT Market Regime Detector [TradeHook]🔮 Overview
The **ICT Market Regime Detector** is an advanced market condition classifier designed to identify the current market environment and provide context-aware trading guidance. Rather than generating buy/sell signals, this indicator focuses on answering the crucial question: *"What type of market am I trading in right now?"*
Understanding market regime is fundamental to successful trading. The same strategy that works brilliantly in a trending market can fail spectacularly during consolidation. This indicator automatically classifies market conditions into one of eight distinct regimes, each requiring different trading approaches.
---
🎯 Regime Classifications
The indicator identifies these market states:
| Regime | Description | Recommended Approach |
|------------------------|--------------------------------------------------|--------------------------------------|
| *STRONG TREND* |Directional momen. w/ healthy struc| Cont.entries with OTE pullbacks |
| **WEAK TREND** | Gradual drift with retracements | Conservative Order Block entries |
| **ACCUMULATION** | Institutional buying within range | Longs near range lows |
| **DISTRIBUTION** | Institutional selling within range | Shorts near range highs |
| **CONSOLIDATION** | Tight range, low volatility squeeze | Wait for breakout |
| **EXPANSION** | Volatile breakout phase | Momentum following |
| **REVERSAL** | Structural transition period | Wait for confirmation |
| **CHOPPY** | No clear edge | **Avoid trading** |
---
⚙️ How It Works
**Trend Analysis Engine**
- Calculates ADX (Average Directional Index) using Wilder's smoothing method
- Monitors +DI/-DI for directional bias
- Detects trend health via EMA alignment
- Identifies exhaustion through RSI divergence
**Volatility Analysis Engine**
- Measures current vs historical volatility ratio
- Classifies as LOW, NORMAL, HIGH, or EXTREME
- Tracks volatility expansion/contraction phases
**Range Analysis Engine**
- Calculates dynamic support/resistance boundaries
- Tracks price position within range (0-100%)
- Detects range narrowing (squeeze) and expansion patterns
**Institutional Activity Detection**
- Volume spike identification
- Absorption candle patterns (large wicks, small body)
- Displacement candles (large body, small wicks)
- Accumulation/Distribution pattern recognition
---
🛡️ Risk Management Features
**Daily Loss Limit**
- Set maximum daily loss as percentage of account
- Visual warning when approaching limit
- Alert when limit is breached
**Maximum Daily Trades**
- Configurable trade counter per session
- Prevents overtrading
- Session reset options (NY Open, London Open, etc.)
**Trading Readiness Checklist**
- Clear regime ✓/✗
- Kill zone active ✓/✗
- HTF alignment ✓/✗
- Volatility normal ✓/✗
- Loss limit OK ✓/✗
- Trades remaining ✓/✗
---
📊 Multi-Timeframe Analysis
The indicator includes 4H timeframe regime alignment to ensure lower timeframe setups align with higher timeframe bias. Trades taken with HTF alignment historically have higher probability.
---
⏰ Kill Zone Integration
Built-in ICT Kill Zone detection:
- 🌙 Asian Session (Range Building)
- 🇬🇧 London Open (Prime Execution)
- 🇺🇸 NY AM (Prime Execution)
- 🔫 Silver Bullet (10-11 AM EST)
- 🇺🇸 NY PM (Afternoon Opportunities)
Configurable UTC offset for your timezone.
---
🎨 Visual Features
- **Regime-Colored Bars** - Instantly see current market state
- **Comprehensive Dashboard** - All metrics in one panel
- **Adjustable Table Size** - Tiny/Small/Normal/Large
- **Flexible Positioning** - Place dashboard in any corner
- **Optional Regime Labels** - Mark regime changes on chart
---
⚠️ Important Notes
1. This indicator is a **decision support tool**, not a signal generator
2. Always combine with proper price action analysis
3. Past regime identification doesn't guarantee future performance
4. Risk management settings are for tracking purposes only - actual position management should be done through your broker
5. The indicator works best on liquid markets with consistent volume data
---
📚 Educational Purpose
This indicator is designed for educational purposes to help traders understand market structure and regime classification. It implements concepts from ICT (Inner Circle Trader) methodology including:
- Market structure analysis
- Kill zone timing
- Institutional activity patterns
- Multi-timeframe confluence
---
🔧 Inputs Summary
**Master Toggles**
- Enable/Disable indicator, regime detection, recommendations, risk management, alerts
**Core Settings**
- Analysis lookback periods (short/medium/long)
- ADX thresholds for trend classification
- Volatility spike multiplier
**Risk Management**
- Max daily loss percentage
- Max daily trades
- Account size for P&L calculation
- Session reset timing
**Visualization**
- Dashboard on/off and position
- Regime zones and labels
- Bar coloring
- Table text size
---
💡 Tips for Use
1. **Don't trade CHOPPY regimes** - The indicator explicitly warns when no edge exists
2. **Respect the checklist** - Trade only when multiple conditions align
3. **Adjust ADX thresholds** - Different instruments may require fine-tuning
4. **Monitor regime duration** - Fresh regime changes often present the best opportunities
5. **Use with other TradeHook indicators** - Designed to complement the MTMGBS system
⚖️ DISCLAIMER
This indicator is for **educational and informational purposes only**. It does not constitute financial advice. Trading involves substantial risk of loss and is not suitable for all investors. Past performance is not indicative of future results. Always conduct your own analysis and consult with a qualified financial advisor before making trading decisions.
ETH - Log Regression BandsETH – Log Regression Bands: Detailed Description (Math + How to Use)
Overview
This indicator plots a long-term “fair value” growth curve for ETH and surrounds it with multiple upper and lower bands. The goal is to estimate where price sits relative to a long-term trend that is best interpreted in **logarithmic (percentage) terms**, not raw dollars.
The bands create clear zones showing when ETH is historically cheap or expensive relative to that long-term curve.
---
Why use logarithms?
Price action is typically more meaningful in **percentage moves** than in absolute dollar moves.
* A move from $100 → $200 is +100%
* A move from $2000 → $2100 is only +5%
By modelling the natural logarithm of price, multiplicative growth becomes additive. That makes long-term growth easier to model and band spacing more consistent across very different price regimes.
So instead of modelling (P), the indicator models:
---
The growth model: Power-law curve
The indicator uses “time since inception” as the x-axis. However, rather than using time directly, it uses the logarithm of time:
where (t) is the number of days (or bars) since the first data point.
It then fits a straight-line model in log-log space:
Substituting back in:
Exponentiating both sides gives the curve in normal price units:
This is a **power-law** trend curve. It naturally produces a smooth, slowly bending long-term curve similar to the “log regression” curves often seen in macro crypto reports.
---
What “expanding regression” means
The model uses all data available from the beginning of the chart up to the current bar. That means:
* Early in the asset’s history the curve can change more because there are fewer points.
* Over time the curve becomes more stable as more history is included.
Important note: this does **not** repaint past bars. It simply means the current curve will update as new data comes in.
---
Measuring “typical deviation” from the curve (residual volatility)
Once the trend curve is fitted in log space, the indicator measures how far price typically wanders away from it.
At any time point:
* Actual log price is (y = \ln(P))
* Predicted log price from the curve is (\hat{y} = a + b\ln(t))
The **residual** is:
The indicator computes the standard deviation of these residuals:
This (\sigma) is a measure of typical “distance from trend” in log terms.
---
Building the bands (the key idea)
The bands are evenly spaced in **log space** using multiples of (\sigma). A band number (k) is created by shifting the log-trend up or down:
Upper band (k):
Lower band (k):
Where:
* (k) is the band number (1, 2, 3, …)
* (s) is a user-chosen spacing factor (band spacing)
* (\sigma) is the residual standard deviation
Converting back to normal price:
Upper band (k):
Lower band (k):
Why bands look like “translated copies”
Because shifting by a constant in log space equals multiplying by a constant in price space:
So the bands are the same underlying curve scaled up or down by fixed multipliers. That produces the smooth “stacked curve” look associated with macro log regression charts.
---
Optional curve shift (manual adjustment)
A manual offset can be applied in log space. This is useful if you want to align the entire structure slightly higher or lower.
Because the shift is applied to (\ln(P)), this is not an additive dollar adjustment. It scales the entire curve by a constant factor:
* Positive shift → multiplies all bands upward
* Negative shift → multiplies all bands downward
---
How to interpret the zones
The base curve represents a long-term “trend center” in log-growth terms.
* Price near the base curve → near long-term trend
* Price in upper bands → expensive relative to long-term trend
* Price in lower bands → cheap relative to long-term trend
Because the bands are built using residual volatility in log space, “cheap/expensive” is measured in a way that remains meaningful across different eras and price levels.
---
Long-term buy zones (Lower 1 and Lower 2)
**Lower 1** and **Lower 2** are intended as **long-term accumulation zones**.
When ETH trades in these zones, it is significantly below the long-term growth curve in log terms, which typically corresponds to:
* deep bear markets,
* high fear / capitulation phases,
* long accumulation periods.
A simple long-term framework many users apply:
* **Accumulate gradually when price enters Lower 1**
* **Accumulate more aggressively when price enters Lower 2**
* Reduce risk / take profits progressively in higher upper bands
These are not guarantees — they are **statistical “distance from trend” zones**, designed to help structure long-term decisions.
---
## Notes / limitations
* This indicator is a **macro trend tool**, not an intraday trading system.
* The curve is derived from historical behavior; it can shift slowly as new data arrives.
* Extremely new market regimes or structural changes can reduce reliability.
* Use alongside risk management and additional confirmation if trading.
---
CVD Complete Volume Analysis ProCVD Complete Volume Analysis Pro | Order Flow & Absorption
Introduction:
In the world of modern trading, Price is the advertisement, but Volume is the fuel. However, standard volume indicators on TradingView are often insufficient. They tell you how much was traded, but they don’t tell you how it was traded.
Was that large volume spike aggressive buying driving the trend? or was it a "buying frenzy" hitting a wall of passive limit orders (absorption)?
The CVD Complete Volume Analysis Pro (v5) is an advanced institutional-grade Order Flow engine. By utilizing 1-second intrabar data, this indicator reconstructs the "Tick Rule" to separate Aggressive (Market) orders from Passive (Limit) orders. It calculates Cumulative Volume Delta (CVD), detects Absorption/Distribution anomalies, and utilizes an embedded Logistic Regression model to predict daily directional bias.
This is not just an indicator; it is a complete Order Flow Dashboard designed to aid and support complex footprint charts for the everyday trader.
🏗️ How It Works: The "Micro-Structure" Engine
Most volume indicators on TradingView look at the close of a 1-minute or 5-minute bar to guess the volume direction. This script goes deeper.
1. The 1-Second Granularity
Using TradingView's request.security_lower_tf capability, this script pulls 1-second resolution data regardless of the chart timeframe you are on.
It analyzes the price movement every second.
It applies the "Tick Rule": If price moves up, volume is classified as Buy. If price moves down, volume is classified as Sell.
This allows for a highly accurate reconstruction of Buying vs. Selling pressure that standard indicators miss.
2. The "Cluster" Concept
The script aggregates these 1-second data points into Clusters.
Default: 60 seconds (1 minute) per cluster.
This creates a normalized "Heartbeat" of the market, allowing us to compare the efficiency of volume over fixed time windows, removing the noise of time-based chart distortions.
3. The "Passive" Detection Logic (The Core Feature)
This is the most powerful aspect of the tool. It calculates the relationship between Effort (CVD) and Result (Price Move).
The Baseline: The script calculates a rolling statistical baseline (Standard Deviation) of how much price should move for a given amount of Delta.
Absorption (Hidden Buying): If we see massive Aggressive Selling (Negative CVD) but price refuses to drop (or drops significantly less than the statistical model predicts), the script identifies this as Passive Buying.
Distribution (Hidden Selling): If we see massive Aggressive Buying (Positive CVD) but price refuses to rise, the script identifies this as Passive Selling.
📊 The Dashboard Breakdown
The on-screen dashboard is your command center. It updates in real-time to provide a snapshot of the market's internal mechanics.
Section 1: Flow Analysis
This section analyzes the current session's behavior.
Flow Type: Categorizes the market state using algorithmic logic.
Aggressive Buying/Selling: The market is trending, and aggressive participants are winning.
Strong Accumulation/Distribution: A reversal signal. Aggressive participants are trapped, and passive whales are absorbing order flow.
Flow vs. Price: Detects divergences instantly.
Bullish Divergence: Net Flow is Positive, but Price is down (indicates manipulation or temporary suppression).
Bearish Divergence: Net Flow is Negative, but Price is up (indicates a "trap" move).
Section 2: Volume Breakdown
A detailed ledger of the day's activity.
Aggressive Buy/Sell: Market orders executing at the ask/bid. This represents "Impatience."
Passive Buy/Sell: The estimated volume of Limit Orders absorbing the aggressive flow. This represents "Intent."
Net Flow: The mathematical sum of all buy pressure minus sell pressure.
Section 3: Net Positioning (Multi-Day)
Markets don't happen in a vacuum. This section looks back (default 5 days) to see the accumulated inventory.
Bias: Are we in a multi-day accumulation or distribution phase?
Activity Type:
High Hidden Activity: Indicates a fighting market with heavy limit orders (choppy/reversal prone).
Mostly Aggressive: Indicates a trending market with low resistance.
Section 4: Predictive Model (Machine Learning)
The script features an embedded Logistic Regression Model.
It trains on the last N days of Flow Data (CVD, Net Aggressive, Net Passive, Passive Ratios).
It outputs a Probability Score (0% to 100%) regarding the likelihood of an UP close for the current session.
Note: This is a probability model based on order flow history, not a guarantee. Use it as a bias confirmation tool.
🧠 Educational: How to Trade With This
Strategy 1: The "Absorption" Reversal
Context: Price hits a major resistance level.
Look at the Dashboard: You want to see "Flow Type" switch to "Strong Distribution".
The Logic: Price is rising, and aggressive buyers are hitting the ask. However, the script detects that for every buy order, a passive seller is absorbing it. Price stops moving up despite high volume.
The Trigger: When Price creates a lower low on the chart while the dashboard shows Distribution, this is a high-probability short entry.
Strategy 2: The Flow Divergence
Context: Price is trending down.
Look at the Dashboard: Price is making new lows, but the "Net Flow" is turning Green (Positive), or the "Cum CVD" is sloping upwards.
The Logic: This is "Effort vs. Result." Sellers are exhausted. They are pushing price down, but the net flow is shifting to buyers.
The Trigger: Enter Long on the first structure break.
Strategy 3: Trend Continuation
Context: Market is opening or breaking a range.
Look at the Dashboard: You want "Full Alignment."
Signals: "Flow Type" says Aggressive Buying, Net Flow is Positive, and the Predictive Model shows >60% Bullish Probability.
The Logic: There is no passive resistance. Aggressive buyers are pushing price up freely.
The Trigger: Buy pullbacks.
⚙️ Settings & Configuration
Cluster Size: The number of 1-second bars to group together.
Use 60 (1 min) for Scalping.
Use 300 (5 min) for Day Trading.
Average Length: The baseline for statistical calculations. Higher numbers = smoother baselines but slower adaptation.
Detection Settings:
Passive Multiplier: Adjusts the sensitivity of the absorption estimation. 1.0 is standard. Increase to 1.5 if you only want to see extreme anomalies.
Daily Tracking:
History Days: How many days of data to display in the table. Note: Due to TradingView data limits, keeping this between 3-5 days ensures the most stability.
⚠️ Important Technical Limitations
Please read this section carefully to understand the constraints of the Pine Script environment:
Data Depth (The 100k Limit): TradingView limits request.security_lower_tf to approximately 100,000 intrabars.
This means the script can typically only "see" the last 3 to 5 days of true 1-second data.
If you set History Days or Training Days too high (e.g., 20 days), the script may return 0 values for older dates because the high-resolution data simply doesn't exist on the server.
Approximation of Ticks: While 1-second data is extremely precise, it is still an aggregation. In extremely high-volatility events (like CPI releases), multiple ticks happen inside one second. The script attributes the volume of that second based on the close relative to the open/prev close. It is the best approximation possible on TradingView, but not a replacement for Level 3 Tick Data feeds.
Calculation Time: This is a heavy script. On lower-end devices or when loading on many charts simultaneously, you may experience a "Calculation took too long" warning. If this happens, reduce the History Days to 3.
🛡️ Disclaimer
No Repainting: This indicator uses strict historical referencing and does not repaint closed clusters.
Not Financial Advice: This tool provides data visualization. Order flow is a subjective art. Always manage your risk.
Author's Note:
I built this tool because I wanted the power of Order Flow footprint charts without the visual clutter. By using statistical baselines to detect passive liquidity, we can finally see the "invisible hand" of the market directly on our TradingView charts. I hope this adds value to your trading.
👍 If you find this script useful, please leave a Boost and a Comment below!
Multi Cycles Slope-Fit System MLMulti Cycles Predictive System : A Slope-Adaptive Ensemble
Executive Summary:
The MCPS-Slope (Multi Cycles Slope-Fit System) represents a paradigm shift from static technical analysis to adaptive, probabilistic market modeling. Unlike traditional indicators that rely on a single algorithm with fixed settings, this system deploys a "Mixture of Experts" (MoE) ensemble comprising 13 distinct cycle and trend algorithms.
Using a Gradient-Based Memory (GBM) learning engine, the system dynamically solves the "Cycle Mode" problem by real-time weighting. It aggressively curve-fits the Slope of component cycles to the Slope of the price action, rewarding algorithms that successfully predict direction while suppressing those that fail.
This is a non-repainting, adaptive oscillator designed to identify market regimes, pinpoint high-probability reversals via OB/OS logic, and visualize the aggregate consensus of advanced signal processing mathematics.
1. The Core Philosophy: Why "Slope" Matters:
In technical analysis, most traders focus on Levels (Price is above X) or Values (RSI is at 70). However, the primary driver of price action is Momentum, which is mathematically defined as the Rate of Change, or the Slope.
This script introduces a novel approach: Slope Fitting.
Instead of asking "Is the cycle high or low?", this system asks: "Is the trajectory (Slope) of this cycle matching the trajectory of the price?"
The Dual-Functionality of the Normalized Oscillator
The final output is a normalized oscillator bounded between -1.0 and +1.0. This structure serves two critical functions simultaneously:
Directional Bias (The Slope):
When the Combined Cycle line is rising (Positive Slope), the aggregate consensus of the 13 algorithms suggests bullish momentum. When falling (Negative Slope), it suggests bearish momentum. The script measures how well these slopes correlate with price action over a rolling lookback window to assign confidence weights.
Overbought / Oversold (OB/OS) Identification:
Because the output is mathematically clipped and normalized:
Approaching +1.0 (Overbought): Indicates that the top-weighted algorithms have reached their theoretical maximum amplitude. This is a statistical extreme, often preceding a mean reversion or trend exhaustion.
Approaching -1.0 (Oversold): Indicates the aggregate cycle has reached maximum bearish extension, signaling a potential accumulation zone.
Zero Line (0.0): The equilibrium point. A cross of the Zero Line is the most traditional signal of a trend shift.
2. The "Mixture of Experts" (MoE) Architecture:
Markets are dynamic. Sometimes they trend (Trend Following works), sometimes they chop (Mean Reversion works), and sometimes they cycle cleanly (Signal Processing works). No single indicator works in all regimes.
This system solves that problem by running 13 Algorithms simultaneously and voting on the outcome.
The 13 "Experts" Inside the Code:
All algorithms have been engineered to be Non-Repainting.
Ehlers Bandpass Filter: Extracts cycle components within a specific frequency bandwidth.
Schaff Trend Cycle: A double-smoothed stochastic of the MACD, excellent for cycle turning points.
Fisher Transform: Normalizes prices into a Gaussian distribution to pinpoint turning points.
Zero-Lag EMA (ZLEMA): Reduces lag to track price changes faster than standard MAs.
Coppock Curve: A momentum indicator originally designed for long-term market bottoms.
Detrended Price Oscillator (DPO): Removes trend to isolate short-term cycles.
MESA Adaptive (Sine Wave): Uses Phase accumulation to detect cycle turns.
Goertzel Algorithm: Uses Digital Signal Processing (DSP) to detect the magnitude of specific frequencies.
Hilbert Transform: Measures the instantaneous position of the cycle.
Autocorrelation: measures the correlation of the current price series with a lagged version of itself.
SSA (Simplified): Singular Spectrum Analysis approximation (Lag-compensated, non-repainting).
Wavelet (Simplified): Decomposes price into approximation and detail coefficients.
EMD (Simplified): Empirical Mode Decomposition approximation using envelope theory.
3. The Adaptive "GBM" Learning Engine
This is the "Machine Learning" component of the script. It does not use pre-trained weights; it learns live on your chart.
How it works:
Fitting Window: On every bar, the system looks back 20 days (configurable).
Slope Correlation: It calculates the correlation between the Slope of each of the 13 algorithms and the Slope of the Price.
Directional Bonus: It checks if the algorithm is pointing in the same direction as the price.
Weight Optimization:
Algorithms that match the price direction and correlation receive a higher "Fit Score."
Algorithms that diverge from price action are penalized.
A "Softmax" style temperature function and memory decay allow the weights to shift smoothly but aggressively.
The Result: If the market enters a clean sine-wave cycle, the Ehlers and Goertzel weights will spike. If the market explodes into a linear trend, ZLEMA and Schaff will take over, suppressing the cycle indicators that would otherwise call for a premature top.
4. How to Read the Interface:
The visual interface is designed for maximum information density without clutter.
The Dashboard (Bottom Left - GBM Stats)
Combined Fit: A percentage score (0-100%). High values (>70%) mean the system is "Locked In" and tracking price accurately. Low values suggest market chaos/noise.
Entropy: A measure of disorder. High entropy means the algorithms disagree (Neutral/Chop). Low entropy means the algorithms are unanimous (Strong Trend).
Top 1 / Top 3 Weight: Shows how concentrated the decision is. If Top 1 Weight is 50%, one algorithm is dominating the decision.
The Matrix (Bottom Right - Weight Table)
This table lifts the hood on the engine.
Fit Score: How well this specific algo is performing right now.
Corr/Dir: Raw correlation and Direction Match stats.
Weight: The actual percentage influence this algorithm has on the final line.
Cycle: The current value of that specific algorithm.
Regime: Identifies if the consensus is Bullish, Bearish, or Neutral.
The Chart Overlay
The Line: The Gradient-Colored line is the Weighted Ensemble Prediction.
Green: Bullish Slope.
Red: Bearish Slope.
Triangles: Zero-Cross signals (Bullish/Bearish).
"STRONG" Labels: Appears when the cycle sustains a value above +0.5 or below -0.5, indicating strong momentum.
Background Color: Changes subtly to reflect the aggregate Regime (Strong Up, Bullish, Neutral, Bearish, Strong Down).
5. Trading Strategies:
A. The Slope Reversal (OB/OS Fade)
Concept: Catching tops and bottoms using the -1/+1 normalization.
Signal: Wait for the Combined Cycle to reach extreme values (>0.8 or <-0.8).
Trigger: The entry is taken not when it hits the level, but when the Slope flips.
Short: Cycle hits +0.9, color turns from Green to Red (Slope becomes negative).
Long: Cycle hits -0.9, color turns from Red to Green (Slope becomes positive).
B. The Zero-Line Trend Join
Concept: Joining an established trend after a correction.
Signal: Price is trending, but the Cycle pulls back to the Zero line.
Trigger: A "Triangle" signal appears as the cycle crosses Zero in the direction of the higher timeframe trend.
C. Divergence Analysis
Concept: Using the "Fit Score" to identify weak moves.
Signal: Price makes a Higher High, but the Combined Cycle makes a Lower High.
Confirmation: Check the GBM Stats table. If "Combined Fit" is dropping while price is rising, the trend is decoupling from the cycle logic. This is a high-probability reversal warning.
6. Technical Configuration:
Fitting Window (Default: 20): The number of bars the ML engine looks back to judge algorithm performance. Lower (10-15) for scalping/quick adaptation. Higher (30-50) for swing trading and stability.
GBM Learning Rate (Default: 0.25): Controls how fast weights change.
High (>0.3): The system reacts instantly to new behaviors but may be "jumpy."
Low (<0.15): The system is very smooth but may lag in regime changes.
Max Single Weight (Default: 0.55): Prevents one single algorithm from completely hijacking the system, ensuring an ensemble effect remains.
Slope Lookback: The period over which the slope (velocity) is calculated.
7. Disclaimer & Notes:
Repainting: This indicator utilizes closed bar data for calculations and employs non-repainting approximations of SSA, EMD, and Wavelets. It does not repaint historical signals.
Calculations: The "ML" label refers to the adaptive weighting algorithm (Gradient-based optimization), not a neural network black box.
Risk: No indicator guarantees future performance. The "Fit Score" is a backward-looking metric of recent performance; market regimes can shift instantly. Always use proper risk management.
Author's Note
The MCPS-Slope was built to solve the frustration of "indicator shopping." Instead of switching between an RSI, a MACD, and a Stochastic depending on the day, this system mathematically determines which one is working best right now and presents you with a single, synthesized data stream.
If you find this tool useful, please leave a Boost and a Comment below!
Market Regime Guard PRO Institutional No-Trade ZonesThis dashboard automatically blocks trading on structurally dangerous market days caused by volatility compression, inside-day accumulation, rising VIX liquidation risk, EMA breakdowns, and thin liquidity traps.
Most traders lose not because their entries are bad — but because they trade on structurally dangerous market days.
This dashboard automatically blocks trading on contraction, liquidation-risk, inside-day, and volatility-trap days.
Then list what it detects:
• Inside Days (institutional absorption)
• NR7 contraction traps
• ATR volatility compression
• EMA structure breakdown
• Rising VIX liquidation risk
• News & holiday liquidity traps
Promise:
Only trade when the market structure is favorable.
Use this as your universal go/no-go trading permission system.
If it’s GREEN → Trade.
If it’s RED → Stand Aside or Be careful
Works on:
SPY, QQQ, TQQQ, NVDA, PLTR, TSLA, BTC, ES, NQ, Forex & Crypto.
🧭 How to Use the Market Regime Table
This table is your go / no-go permission system.
Start by checking it on SPY and QQQ — these represent the overall U.S. market and the Nasdaq growth complex.
• If SPY and QQQ are GREEN → market structure is favorable
• If either is RED → stand aside or reduce risk
Once the market is GREEN, you can then apply the same table to individual stocks (NVDA, PLTR, TSLA, AMD, etc.) to confirm that the stock’s structure is also favorable before taking any trades.
Rule of thumb:
Market first. Stock second.
Only trade when both are GREEN.
This one rule alone dramatically improves win rate, drawdown, and consistency.
FULL DESCRIPTION
Most traders don’t lose because their entries are bad —
They lose because they trade on structurally dangerous market days.
On these days:
• Institutions absorb liquidity
• Volatility contracts
• Fake breakouts dominate
• Stop hunts explode
• Real expansion does not occur
This indicator automatically identifies and blocks:
• Inside-day accumulation traps
• NR7 contraction traps
• Falling ATR volatility compression
• EMA structure breakdowns
• Rising VIX liquidation risk
• Thin liquidity / holiday risk
• News-day volatility traps
It gives you a clear desk-style verdict:
Status Meaning
🟢 GREEN Market structure favorable – trade normally
🔴 RED Structural danger – stand aside
This is not an entry system.
This is your permission system.
🛠 HOW TO USE
Add indicator to your chart
Check table in top-right
Trade only on GREEN days
Avoid RED days completely
📈 Personal Note
This regime filter has been instrumental in my own trading journey. After struggling during my first few years in the market, I realized that the biggest losses didn’t come from bad strategies — they came from trading on the wrong days.
Learning to stand aside on structurally dangerous market days and only trade when conditions are favorable dramatically improved my consistency and overall returns.
🧠 Why Market Regime Matters Even More for Day Traders
Most day-trader losses do not come from bad entries.
They come from:
• Choppy inside-day conditions
• Liquidity absorption
• Falling volatility (no follow-through)
• Stop-hunt behavior
• News / thin liquidity traps
Your filter directly blocks every one of these traps.
So for day traders, this tool:
• Prevents revenge trading
• Stops death-by-a-thousand-cuts days
• Filters out random chop days
• Protects capital on slow days
• Preserves psychological capital
📈 Why It Also Improves Swing Trading
For swing traders, this tool:
• Avoids entering during contraction
• Avoids entering before expansions
• Avoids bear-regime traps
• Improves follow-through probability
• Reduces drawdown
• Improves R-multiple expectancy
Which means:
Fewer trades
Higher quality trades
More profit per trade
The Universal Truth
The market does not pay you for activity.
It pays you for selectivity.
This filter improves timing, not tactics.
Your entries can be identical — your results improve simply because you’re trading on the right days.
⚠️ Disclaimer
This indicator is provided for educational and informational purposes only and does not constitute financial, investment, or trading advice.
Trading stocks, options, futures, forex, and cryptocurrencies involves substantial risk and may result in the loss of some or all of your invested capital. Past performance is not indicative of future results.
This tool does not guarantee profits and should be used as a market structure filter and risk-management aid only. Always perform your own analysis, use proper position sizing, and consult a licensed financial professional before making any trading decisions.
You are solely responsible for all trades taken using this indicator.
Cumulative Volume Delta (CVD) Suite [QuantAlgo]🟢 Overview
The Cumulative Volume Delta (CVD) Suite is a comprehensive toolkit that tracks the net difference between buying and selling pressure over time, helping traders identify significant accumulation/distribution patterns, spot divergences with price action, and confirm trend strength. By visualizing the running balance of volume flow, this indicator reveals underlying market sentiment that often precedes significant price movements.
🟢 How It Works
The indicator begins by determining the optimal timeframe for delta calculation. When auto-select is enabled, it automatically chooses a lower timeframe based on your chart period, e.g., using 1-second bars for minute charts, 5-second bars for 5-minute charts, and progressively larger intervals for higher timeframes. This granular approach captures volume flow dynamics that might be missed at the chart level.
Once the timeframe is established, the indicator calculates volume delta for each bar using directional classification:
getDelta() =>
close > open ? volume : close < open ? -volume : 0
When a bar closes higher than it opens (bullish candle), the entire volume is counted as positive delta representing buying pressure. Conversely, when a bar closes lower than its open (bearish candle), volume becomes negative delta representing selling pressure. This classification is applied to every bar in the selected lower timeframe, then aggregated upward to construct the delta for each chart bar:
array deltaValues = request.security_lower_tf(syminfo.tickerid, lowerTimeframe, getDelta())
float barDelta = 0.0
if array.size(deltaValues) > 0
for i = 0 to array.size(deltaValues) - 1
barDelta := barDelta + array.get(deltaValues, i)
This aggregation process sums all the individual delta values from the lower timeframe bars that comprise each chart bar, capturing the complete volume flow activity within that period. The resulting bar delta then feeds into the various display calculations:
rawCVD = ta.cum(barDelta) // Cumulative sum from chart start
smoothCVD = ta.sma(rawCVD, smoothingLength) // Smoothed for noise reduction
rollingCVD = math.sum(barDelta, rollingLength) // Rolling window calculation
Note: This directional bar approach differs from exchange-level orderflow CVD, which uses tick data to separate aggressive buy orders (executed at the ask price) from aggressive sell orders (executed at the bid price). While this method provides a volume flow approximation rather than pure tape-reading precision, it offers a practical and accessible way to analyze buying and selling dynamics across all timeframes and instruments without requiring specialized data feeds on TradingView.
🟢 Key Features
The indicator offers five distinct visualization modes, each designed to reveal different aspects of volume flow dynamics and cater to various trading strategies and market conditions.
1. Oscillator (Raw): Displays the true cumulative volume delta from the beginning of chart history, accompanied by an EMA signal line that helps identify trend direction and momentum shifts. When CVD crosses above the signal line, it indicates strengthening buying pressure; crosses below suggest increasing selling pressure. This mode is particularly valuable for spotting long-term accumulation/distribution phases and identifying divergences where CVD makes new highs/lows while price fails to confirm, often signaling potential reversals.
2. Oscillator (Smooth): Applies a simple moving average to the raw CVD to filter out noise while preserving the underlying trend structure, creating smoother signal line crossovers. Use this when trading trending instruments where you need confirmation of genuine volume-backed moves versus temporary volatility spikes.
3. Oscillator (Rolling): Calculates cumulative delta over only the most recent N bars (configurable window length), effectively resetting the baseline and removing the influence of distant historical data. This approach focuses exclusively on current market dynamics, making it highly responsive to recent shifts in volume pressure and particularly useful in markets that have undergone regime changes or structural shifts. This mode can be beneficial for traders when they want to analyze "what's happening now" without legacy bias from months or years of prior data affecting the readings.
4. Histogram: Renders the per-bar volume delta as individual histogram bars rather than cumulative values, showing the immediate buying or selling pressure that occurred during each specific candle. Positive (green) bars indicate that bar closed higher than it opened with buying volume, while negative (red) bars show selling volume dominance. This mode excels at identifying sudden volume surges, exhaustion points where large delta bars fail to move price, and bar-by-bar absorption patterns where one side is aggressively consuming the other's volume.
5. Candles: Transforms CVD data into OHLC candlestick format, where each candle's open represents the CVD at the start of the bar and subsequent intra-bar delta changes create the high, low, and close values. This visualization reveals the internal volume flow dynamics within each time period, showing whether buying or selling pressure dominated throughout the bar's formation and exposing intra-bar reversals or sustained directional pressure. Use candle wicks and bodies to identify volume acceptance/rejection at specific CVD levels, similar to how price candles show acceptance/rejection at price levels.
▶ Built-in Alert System: Comprehensive alerts for all display modes including bullish/bearish momentum shifts (CVD crossing signal line), buying/selling pressure detection (histogram mode), and bullish/bearish CVD candle formations. Fully customizable with exchange and timeframe placeholders.
▶ Visual Customization: Choose from 5 color presets (Classic, Aqua, Cosmic, Ember, Neon) or create your own custom color schemes. Optional price bar coloring feature overlays CVD trend colors directly onto your main chart candles, providing instant visual confirmation of volume flow and making divergences immediately apparent. Optional info label with configurable position and size displays current CVD values, data source timeframe, and mode at a glance.
