FVG vertical Created by Alphaomega18
🎯 What is an FVG (Fair Value Gap)?
A Fair Value Gap is a price imbalance created by a mismatch between buyers and sellers, formed by 3 consecutive candles where:
Bullish FVG: The low of the current candle is above the high of the candle 2 periods ago
Bearish FVG: The high of the current candle is below the low of the candle 2 periods ago
⚙️ Indicator Settings
Display Group:
Show Bullish vertical FVG: Display bullish vertical FVGs (green) ✅
Show Bearish vertical FVG: Display bearish vertical FVGs (red) ✅
Box Extension (bars): Zone extension duration (1-50 bars, default: 10)
Show Labels: Display labels with gap size 🏷️
Remove When Filled: Automatically remove filled zones ✅
📊 Visual Elements
FVG Zones:
🟢 Green = Bullish vertical FVG (potential support zone)
🔴 Red = Bearish vertical FVG (potential resistance zone)
Labels:
Show gap size in points
Positioned at the beginning of each zone
Dashboard (top right corner):
Real-time count of active FVGs
🟢 = Number of bullish vertical FVGs
🔴 = Number of bearish vertical FVGs
Candle Coloring:
Light green background = Candle forming a bullish vertical FVG
Light red background = Candle forming a bearish vertical FVG
🎯 How to Use the Indicator
1. Installation:
Open TradingView
Click "Indicators" at the top of the chart
Search for "FVG Clean" or paste the code in the Pine Editor
2. Trading Strategies:
Support/Resistance:
Bullish vertical FVGs act as support zones
Bearish vertical FVGs act as resistance zones
Price tends to return to "fill" these gaps
Position Entries:
Long: Wait for a return to a bullish vertical FVG + confirmation
Short: Wait for a return to a bearish vertical FVG + confirmation
Position Management:
Place stops below/above FVGs
Use FVGs as price targets
A filled FVG loses its validity
🔔 Alerts
The indicator includes 2 configurable alert types:
Bullish vertical FVG: Triggers when a new bullish vertical FVG forms
Bearish vertical FVG: Triggers when a new bearish vertical FVG forms
To configure: Right-click on chart → "Add Alert" → Select desired alert
💡 Usage Tips
✅ Do:
Combine with other indicators (volume, momentum)
Wait for confirmation before entering
Use across multiple timeframes
Respect your risk management
❌ Don't:
Trade solely on FVGs without confirmation
Ignore the overall market trend
Overload your chart with too many zones
🔧 Parameter Optimization
Scalping (1-5min):
Box Extension: 5-10 bars
Remove When Filled: Enabled
Day Trading (15min-1H):
Box Extension: 10-20 bars
Remove When Filled: Enabled
Swing Trading (4H-Daily):
Box Extension: 20-50 bars
Remove When Filled: As preferred
📈 Performance
Maximum 100 FVGs of each type in memory
Automatic removal of oldest ones
Optimized to not slow down your chart
Compatible with all markets and timeframes
FLOW
Bayesian Order Flow Predictor📌 Bayesian Order Flow Predictor — Advanced Probability Engine for Nasdaq and Futures
This indicator is a next-generation probabilistic forecasting system designed for Nasdaq traders who rely on Order Flow, Auction Market Theory, Value Area dynamics, market structure, DOM imbalance, and Bayesian probability models.
It combines 7 professional-grade factors (DOM, CVD, RSI, EMA trend, ATR volatility, Market Structure, Value Area positioning) into a unified Bayesian probability panel that outputs a clean bullish/bearish probability curve with high-confidence reversal and trend-continuation signals.
Engineered for scalpers, day traders, futures traders, and ICT-style order flow technicians, it delivers real-time directional probability, session-aware signals, and optional news-filter exclusion.
⭐ Features
Bayesian Probability Model (0–100%)
DOM imbalance scoring across dynamic depth levels
Cumulative Volume Delta (CVD) scoring
Market structure detection (HH/LL micro-trend shifts)
RSI momentum and overbought/oversold scoring
EMA directional bias + ATR-normalized deviation
Value Area positioning (VAH / VAL / POC) with optional previous-session mode
Session filtering (only signals during active hours)
Automated news filter (exclude signals around scheduled macro events)
Bull/Bear probability zones with background coloring
Anti-repetition system (no double signals in same direction)
Designed for future scalping, futures order flow, and high-precision timing
🧠 Bayesian Probability Engine — How It Works
The model evaluates 7 independent market factors simultaneously:
DOM imbalance
CVD pressure
Market structure
RSI deviation
EMA trend
Value Area position
ATR volatility shift
Each factor is transformed into a normalized score, multiplied by its weighting parameter, and aggregated into a global score.
This score is then passed through a Bayesian logistic function to convert uncertainty into a smooth probability curve, giving traders a clean, mathematically stable, and noise-resistant forecast.
📈 Buy & Sell Signal Logic
Signals trigger when:
Bullish Probability crosses above the user threshold
Bearish Probability crosses below the opposite threshold
Session is active
No protected news event is occurring
This avoids noise, prevents over-signaling, and focuses only on high-confidence inflection points.
🎯Fully compatible with the indicator: ➡️ AI Probabilistic Orderflow scalper
Both indicators synchronize perfectly when used together:
Bayesian panel → trend probability
Scalper v1 → timing + TP/SL engine
Together they create a complete probability-driven revenue management system for scalping Future.
📘 How to Use
Add the indicator to your chart
Set your trading session (e.g., 09:30–16:00 EST)
Adjust weights depending on your style (Order Flow / Momentum / Value Area)
Watch the probability curve:
Above threshold → bullish bias
Below threshold → bearish bias
Take signals when the curve crosses thresholds, not when flat
Combine with "AI Probabilistic Orderflow scalper" indicator for execution timing
Avoid high-impact news using the News Filter
💎 Advantages
Professional-grade Bayesian model
Works in all volatility regimes
Noise-resistant and smoother than traditional oscillators
Integrates Order Flow + Auction Theory + Momentum + Volatility
Perfect for NQ scalpers seeking an AI-style probability dashboard
Reduces emotional decision-making
Compatible with any execution strategy
Optimized for high winrate scalping and sniper entries
AI Probabilistic OrderFlow Scalper⭐ Description:
📌 AI Probabilistic OrderFlow Scalper
This script combines Order Flow, Auction Market Theory, Volume Imbalance, Market Structure (HH/LL), RSI bias filtering, and a probability-based direction model inspired by AI and statistics.
It produces high-precision scalping entries designed for fast markets such as Futures, while remaining compatible with all markets (indices, crypto, forex, metals).
This is not a typical indicator — it is a probabilistic predictive model engineered to provide sniper entries, a tick-based Take Profit, a volatility-adaptive ATR Stop Loss, and optional Value Area levels (VAH/VAL/POC).
⭐ Main Features:
🔥 Directional probability model (AI-style weighted scoring)
📊 Order Flow imbalance (delta-like logic)
📈 HH/LL market structure detection
🎯 Smart RSI bias filter
🚀 One signal per trend shift (anti-spam)
🎯 Tick-based Take Profit (perfect for NQ / futures)
🛡️ ATR-based dynamic Stop Loss
📉 Value Area display: VAH, VAL, POC
🔊 Volume confirmation filter
📡 Directional probability plot
✔️ Works for Futures, Crypto, Forex, Indices
🧠 Probabilistic AI Approach
The model uses a 3-factor scoring system:
Order Flow imbalance
Market structure (HH/LL)
RSI trend bias
Each validated condition = 1 point.
The total score is converted into Buy/Sell probabilities, and the higher-probability direction is selected.
When probability exceeds the threshold (e.g. 80%), the system triggers a high-confidence sniper signal.
This mirrors Revenue Management logic:
→ Only take a decision when probability of success is maximized.
🎯 Buy/Sell Signals (Sniper Entries)
🔵 Green triangle under the candle = high-probability Buy
🔴 Red triangle above the candle = high-probability Sell
✔️ Only one signal per directional shift
✔️ Signals appear only when all strict filters are satisfied
📌 Automatic TP / SL
TP: fixed tick-based (e.g. 100 ticks for NQ scalping)
SL: ATR-based, adapts to volatility
TP/SL display can be enabled or disabled
Perfectly calibrated for high-speed scalping.
📘 How to Use
Use on every timeframe
Adjust probability threshold (75–90 recommended)
Enable strict mode for maximum precision
Let the model filter entries automatically
Choose a TP suitable for your market
Optionally display VAH/VAL/POC for Auction Theory context
Always test using backtesting before going live
🏆 Advantages
Extremely fast for scalping
High win-rate potential via probabilistic filtering
Clean signals (no noise or spam)
Combines the strongest trading frameworks:
Order Flow
Market Structure
Statistical modeling
Volume profiling
Automated risk management
AI Probabilistic OrderFlow Scalper⭐ Main Name
AI Probabilistic OrderFlow Scalper
⭐Description:
📌 AI Probabilistic OrderFlow Scalper — Predictive Auction Theory Model for Futures
This script combines Order Flow, Auction Market Theory, Volume Imbalance, Market Structure (HH/LL), RSI bias filtering, and a probability-based direction model inspired by AI and Revenue Management.
It produces high-precision scalping entries designed for fast markets such as Nasdaq Futures (NQ), while remaining compatible with all markets (indices, crypto, forex, metals).
This is not a typical indicator — it is a probabilistic predictive model engineered to provide sniper entries, a tick-based Take Profit, a volatility-adaptive ATR Stop Loss, and optional Value Area levels (VAH/VAL/POC).
⭐ Main Features
🔥 Directional probability model (AI-style weighted scoring)
📊 Order Flow imbalance (delta-like logic)
📈 HH/LL market structure detection
🎯 Smart RSI bias filter
🚀 One signal per trend shift (anti-spam)
🎯 Tick-based Take Profit (perfect for NQ / futures)
🛡️ ATR-based dynamic Stop Loss
📉 Value Area display: VAH, VAL, POC
🔊 Volume confirmation filter
📡 Directional probability plot
✔️ Works for Futures, Crypto, Forex, Indices
🧠 Probabilistic AI Approach
The model uses a 3-factor scoring system:
Order Flow imbalance
Market structure (HH/LL)
RSI trend bias
Each validated condition = 1 point.
The total score is converted into Buy/Sell probabilities, and the higher-probability direction is selected.
When probability exceeds the threshold (e.g. 80%), the system triggers a high-confidence sniper signal.
This mirrors Hight probability decision:
→ Only take a decision when probability of success is maximized.
🎯 Buy/Sell Signals (Sniper Entries)
🔵 Green triangle under the candle = high-probability Buy
🔴 Red triangle above the candle = high-probability Sell
✔️ Only one signal per directional shift
✔️ Signals appear only when all strict filters are satisfied
📌 Automatic TP / SL
TP: fixed tick-based (e.g. 100 ticks for NQ scalping)
SL: ATR-based, adapts to volatility
TP/SL display can be enabled or disabled
Perfectly calibrated for high-speed scalping.
📘 How to Use
Use any timeframe
Adjust probability threshold (75–90 recommended)
Enable strict mode for maximum precision
Let the model filter entries automatically
Choose a TP suitable for your market
Optionally display VAH/VAL/POC for Auction Theory context
Always test using backtesting before going live
🏆 Advantages
Extremely fast for scalping
High win-rate potential via probabilistic filtering
Clean signals (no noise or spam)
Combines the strongest trading frameworks:
Order Flow
Market Structure
Statistical modeling
Volume profiling
Automated risk management
LarsTrades Order Flow ZonesLarsTrades Order Flow Zones
**Important:
-Futures charts only!
-Trust the default settings
-best on 2min or lower timeframe.
-if indicator error in replay mode: exit, ctrl+r - it will reset.
This indicator builds a full trade workflow from raw order flow imbalances. It finds aggressive buy and sell imbalances, promotes the strongest ones into key levels, and manages each level through its entire life cycle. Every level becomes a visual zone on the chart that updates in real time as the market moves.
It is built for short-term traders who want clarity, speed, and a structured decision process based on imbalances instead of guesswork.
If you rely on order flow, imbalance zones, or systematic retest setups, this tool helps you stay consistent and understand the story behind each move.
ZENADX Momentum FlowZENADX Momentum Flow คืออินดิเคเตอร์ที่ออกแบบมาเพื่อช่วยเทรดเดอร์จับ “ทิศทาง + จังหวะ” ของตลาดด้วยความเรียบง่ายแบบเซน แต่ทรงพลังด้วยแกนวิเคราะห์จาก ADX, DI และ Stochastic Momentum
อินดิเคเตอร์นี้ผสมผสาน โครงสร้างเทรนด์ (Trend Structure) ด้วย ADX/DI และ โมเมนตัม (Momentum Timing) ด้วย Stochastic เพื่อค้นหาจุดเข้าออกที่ “นิ่ง คม และมีสติ” ตามหลัก Zen Flow Trading
สิ่งที่ ZENADX Momentum Flow ทำให้คุณ:
1.จับเทรนด์หลักด้วย ADX ที่ผ่านเกณฑ์ความแข็งแรง
2.ฟิลเตอร์จังหวะด้วย Stochastic เพื่อหลีกเลี่ยงสัญญาณหลอก
3.แสดงสัญญาณ BUY/SELL เฉพาะเมื่อน้ำหนักเทรนด์ + โมเมนตัมสอดคล้องกัน
เหมาะทั้งสาย Trend Following และ Swing Entry ที่ต้องการ Flow ที่เป็นระบบ
เหมาะกับใคร?
สายเทรนด์, เทรดเดอร์แบบ Flow, คนที่ชอบระบบที่เรียบง่ายแต่ให้ “ความมั่นใจ” เวลาเข้าออก
หลักการ Zen:
ไม่ใช่แค่การตามเทรนด์… แต่คือการ ไหลไปตามตลาด อย่างมีสติและไม่ฝืนตลาด
-------------------------------------------------------------------------
ZENADX Momentum Flow is a trend–momentum hybrid indicator designed for traders who want clarity, simplicity, and precision. Inspired by Zen principles, this tool helps you align with the market’s natural flow—without noise or over-complication.
This indicator blends trend strength from ADX/DI with momentum confirmation from Stochastic, producing clean BUY/SELL signals only when both market structure and momentum agree.
What ZENADX Momentum Flow provides:
Detects strong trend directions using ADX threshold logic
Filters noise with Stochastic momentum alignment
Generates precise BUY/SELL signals based on DI crossovers + momentum confirmation
Ideal for Trend Following and Swing Entry traders who want a smooth, systematic flow
Perfect for:
Traders who seek a calm, disciplined, and structured way to follow the market’s movement—without forcing trades.
Zen Philosophy:
You don’t fight the trend…
You flow with it.
MCM By Inner Racers# MCM By Inner Racers - Multi-Timeframe Key Levels & Session Indicator
## 📊 Overview
**MCM (Multi-Timeframe Chart Mapping)** is a comprehensive trading indicator designed for professional traders who need clear visual representation of critical price levels, session ranges, and time-based market structure. This all-in-one tool eliminates chart clutter while providing essential information for ICT, SMC, and institutional trading methodologies.
---
## ✨ Key Features
### 📅 **Previous Daily Levels**
- **Previous Day High (PDH)** - Acts as key resistance/liquidity zone
- **Previous Day Low (PDL)** - Acts as key support/liquidity zone
- **Previous Day Mid (PDM)** - 50% equilibrium level for mean reversion trades
- **Daily Separators** - Vertical lines marking new trading days
### 📆 **Previous Weekly Levels**
- **Previous Week High (PWH)** - Major weekly resistance for swing trading
- **Previous Week Low (PWL)** - Major weekly support for swing trading
- **Previous Week Mid (PWM)** - Weekly equilibrium for higher timeframe bias
- **Weekly Separators** - Vertical lines marking new trading weeks
### 🌅 **True Day Opens (TDO)**
- Displays opening prices at **midnight NY time** for the past 1-10 days
- Each level labeled as "TDO D-0", "TDO D-1", "TDO D-2", etc.
- Critical for tracking institutional reference points and gap trading
- Respects true midnight opens (not session opens)
### 📍 **Weekly Opens**
- **Monday 00:00 Open** - True weekly open at Monday midnight NY time
- **Sunday 17:00 Open** - Forex market open (Sunday 5 PM NY time)
- Essential for understanding weekly bias and manipulation zones
### 🌏 **Trading Session Ranges**
Dynamic session boxes that track real-time high/low ranges:
- **Asian Session** (Default: 20:00-00:00 NY) -
- **London Session** (Default: 02:00-05:00 NY) -
- **New York Session** (Default: 07:00-16:00 NY) -
All session times are **fully customizable** in 15-minute increments.
---
## 🎯 Who Is This For?
✅ **ICT/SMC Traders** - Key levels for market structure, liquidity, and order flow
✅ **Session Traders** - Identifying killzones and optimal entry zones
✅ **Swing Traders** - Previous day/week levels as support/resistance
✅ **Multi-Timeframe Analysts** - Understanding price relationships across timeframes
✅ **Forex & Indices Traders** - NY time-based analysis for institutional moves
---
## 🎨 Full Customization
Every element is fully customizable:
- ✏️ **Colors** - Match your chart theme perfectly
- 📏 **Line Widths** - 1-5 pixels for visibility
- 🎭 **Line Styles** - Solid, Dashed, or Dotted
- 🏷️ **Labels** - Custom text and 5 size options (Tiny to Huge)
- ⏱️ **Session Times** - Adjust to your timezone or broker
- 📐 **Line Extension** - 20-500 bars forward projection
- 👁️ **Toggle Visibility** - Show/hide any feature independently
---
## 🔧 Technical Highlights
- Uses **request.security()** for accurate higher timeframe data
- Implements **lookahead=barmerge.lookahead_on** for non-repainting levels
- All times calculated in **America/New_York timezone** for consistency
- Efficient line management with proper deletion/recreation
- Maximum 500 lines supported for clean chart performance
- Session detection respects broker time differences
---
## 📖 How To Use
### **For Day Traders:**
1. Enable Daily Levels + True Day Opens for intraday structure
2. Use Session Ranges to identify high-probability trading windows
3. Watch for price reactions at PDH/PDL and TDO levels
### **For Swing Traders:**
1. Enable Weekly Levels for higher timeframe bias
2. Use PWH/PWL as major support/resistance zones
3. Monitor Weekly Opens for institutional reference points
### **For Multi-Timeframe Analysis:**
1. Combine Daily + Weekly levels for confluence zones
2. Use Mid levels (50%) for mean reversion opportunities
3. Align session ranges with higher timeframe structure
---
## ⚙️ Setup Tips
- **Timeframe:** Works on all timeframes (recommended: 1m to 1H for intraday)
- **Chart Type:** Overlay indicator - displays directly on price chart
- **Clean Charts:** Toggle off features you don't need for specific strategies
- **Labels:** Turn off labels for cleaner charts, turn on for reference
- **Line Extension:** Adjust based on your screen size and bar count
---
## 🚀 What Makes This Different?
Unlike basic support/resistance indicators, MCM provides:
- ✅ **True NY midnight opens** (not session opens)
- ✅ **Multiple day opens** tracking (not just previous day)
- ✅ **Dynamic session ranges** (not static boxes)
- ✅ **Both true weekly opens** (Monday 00:00 AND Sunday 17:00)
- ✅ **Fully customizable everything** (colors, styles, labels, times)
- ✅ **Non-repainting levels** using proper lookahead settings
- ✅ **All-in-one solution** (no need for multiple indicators)
---
## 📝 Notes
- All times are in **America/New_York timezone** for consistency with institutional trading
- Previous levels update at the start of each new day/week
- Session ranges are calculated dynamically during active sessions
- Lines extend forward for clear visual reference
- Works with any symbol: Forex, Indices, Crypto, Stocks
---
## 🏷️ Tags
`Multi-Timeframe` `Key Levels` `ICT` `Smart Money Concepts` `Sessions` `Previous Day High/Low` `Previous Week High/Low` `Support Resistance` `Institutional Trading` `Order Flow` `Liquidity` `Market Structure`
---
© Inner_Racers
For questions, suggestions, or feedback, please leave a comment below!
**⭐ If you find this indicator helpful, please give it a boost and share with fellow traders!**
Liquidity + Order-Flow Exhaustion (Smart-Money Logic)Liquidity + Order-Flow Exhaustion (Smart-Money Logic) is a visual tool that helps traders recognize where big market participants (“smart money”) are likely accumulating or distributing positions.
It identifies liquidity sweeps (stop-hunts above or below previous swing levels) and market structure shifts (reversals confirmed by price closing back in the opposite direction).
In simple terms, it shows where price “tricks” retail traders into chasing breakouts — right before reversing.
How it works:
The script scans recent highs and lows to find when price breaks them and quickly rejects — a sign of stop-hunts or liquidity grabs.
It then checks for a close back inside the previous range to confirm a possible Market Structure Shift (MSS).
When this happens, the chart highlights the zone and optionally adds directional labels (🔹 or 🔸) to mark where the liquidity event occurred.
How to read the signals:
🟢 Bullish shift — Price takes out a previous low, then closes higher. This often marks the end of a short-term down-move.
🔴 Bearish shift — Price sweeps a previous high, then closes lower. This often marks the end of a short-term rally.
Colored backgrounds and labels help visualize these key reversals directly on the chart.
How to use it:
Apply to any timeframe; 15-minute to 4-hour charts work best.
Use it to confirm reversals near major swing points or liquidity zones.
Combine with volume spikes, displacement candles, or Fair-Value Gaps (FVGs) for stronger confirmation.
What makes it original:
Simple, self-contained logic inspired by Smart Money Concepts (SMC).
Automatically detects both liquidity sweeps and the subsequent structural shift.
Visual and alert-ready design — perfect for discretionary or algorithmic strategies.
Tip: For even better accuracy, align detected shifts with higher-timeframe bias or VWAP deviations.
Order-Flow Proxy (VWAP Deviation Zones)Order-Flow Proxy (VWAP Deviation Zones) helps traders visualize when market price moves unusually far away from its Volume-Weighted Average Price (VWAP) — a key fair-value level used by institutional participants.
When price stretches too far above or below VWAP, it often signals temporary imbalance between buying and selling pressure.
This tool highlights those moments using simple color zones and an optional statistical Z-Score filter for deeper precision.
In short: it’s a clean, minimal mean-reversion indicator showing when price is statistically “too far” from fair value.
Red zone → Price extended above VWAP → possible buyer exhaustion or short setup.
Green zone → Price extended below VWAP → possible seller exhaustion or long setup.
VWAP line → Acts as a dynamic fair-value anchor.
Concept:
VWAP combines both price and traded volume to define where most transactions occurred.
Deviations from it — measured either by a fixed distance (1%) or by Z-Score — can reveal overvaluation or undervaluation zones used by professional traders for contrarian setups.
How to use:
Apply the indicator to any intraday chart (1m–1h recommended).
Watch for background color shifts — red or green.
Optionally enable the Z-Score filter to focus only on statistically extreme deviations.
Combine with volume spikes, liquidity sweeps, or your own order-flow tools for confirmation.
Tip:
Best used as a visual overlay for detecting stretched markets and potential reversals.
AI Money FlowAI Money Flow is a revolutionary trading indicator that combines cutting-edge artificial intelligence technologies with traditional Smart Money concepts. This indicator provides comprehensive market analysis with emphasis on signal accuracy and reliability.
Key Features:
Volume Profile with Smart Money Analysis - Displays real money flow instead of just volume, identifying key support and resistance levels based on actual trader activity.
Volatility-Based Support & Resistance - Intelligent support and resistance levels that dynamically adapt to market volatility in real-time for maximum accuracy.
Order Flow Analysis - Advanced detection of buying and selling pressure that reveals the true intentions of large market players.
Machine Learning Optimization - Futuristic AI technology that automatically learns and optimizes settings for each specific asset and timeframe.
Risk Management - Advanced volatility and price spike detection for better risk management and capital protection.
Real-time Dashboard - Modern dashboard with color-coded signals provides instant overview of market conditions and trends.
Accuracy: 88-93%
AlphaFlow - Trend DetectorOVERVIEW
AlphaFlow identifies and tracks large volume moves by combining volume analysis, price impact measurement, and conviction scoring to separate significant institutional moves from normal trading activity. Rather than just flagging high volume, this indicator evaluates whether large trades actually moved the market and assigns conviction levels based on multiple confirmation factors.
WHAT MAKES THIS ORIGINAL
This is not simply a volume indicator or volume-weighted price tracker. The originality lies in the multi-factor conviction scoring system that evaluates whether large volume moves represent genuine institutional conviction or just noise.
Key Differentiators:
- Combines volume ratio AND price impact (volume alone doesn't mean conviction)
- Conviction scoring system that weighs trend alignment, follow-through, and volume persistence
- Cumulative flow tracking that shows persistent directional pressure over time
- Market regime detection (bullish/bearish/sideways) based on flow dynamics
- Tiered signal system (EXTREME/HIGH/MEDIUM conviction) rather than binary signals
This approach solves the problem of volume spikes that don't lead to meaningful price action, or price moves on low volume that don't persist.
HOW IT WORKS
1. Whale Detection Engine:
Volume Qualification: Compares current volume to a rolling average (default 50 bars). Whale activity requires volume to be at least 1.5x the average (adjustable).
Price Impact Requirement: Volume alone isn't enough. The bar must also show significant price movement (default 0.1% minimum). This filters out high-volume consolidation where no one is actually committed to direction.
Direction Identification: Bullish whale = close > open on high volume. Bearish whale = close < open on high volume.
2. Conviction Scoring System:
The indicator doesn't just flag whale activity - it evaluates conviction through multiple factors:
Base Conviction: Calculated from (volume_ratio × price_impact) / 10
This gives higher scores to moves with both exceptional volume AND large price swings.
Trend Alignment Bonus (1.5x multiplier): Whale moves aligned with the 20-period EMA trend receive higher conviction scores. Institutional money tends to accumulate with the trend, not against it.
Follow-Through Bonus (1.3x multiplier): After whale activity, does price continue in that direction over the next bars (default 3)? Genuine conviction shows persistence.
Volume Persistence (1.2x multiplier): Is elevated volume sustained over multiple bars, or is it a one-time spike? The 3-bar average volume ratio above 1.5x indicates sustained interest.
Conviction Levels:
- EXTREME: Score > 15 (large whale emoji labels, highest confidence)
- HIGH: Score > 8 (triangle signals, strong confidence)
- MEDIUM: Score > 3 (small triangles, moderate confidence)
- LOW: Score < 3 (not plotted to reduce noise)
3. Cumulative Flow Analysis:
Rather than treating each whale move in isolation, the indicator tracks cumulative flow using an EMA of whale activity. This reveals persistent directional pressure.
Flow Calculation: Each whale bar contributes (whale_strength × direction) to the flow. Strength is volume_ratio × price_impact_percent.
Flow Momentum: Rate of change in the cumulative flow (5-bar change)
Flow Acceleration: Second derivative (3-bar change of momentum)
These metrics reveal whether whale activity is accelerating, decelerating, or reversing.
4. Market Regime Detection:
Bullish Regime: Cumulative flow > 2 AND momentum positive
Bearish Regime: Cumulative flow < -2 AND momentum negative
Sideways Regime: Neither condition met
The background color reflects the current regime, helping traders understand the broader context.
5. Flow Strength Meter:
The main plot normalizes cumulative flow to a -100 to +100 scale based on the 100-bar range. This provides a consistent visual reference regardless of the asset or timeframe.
Extreme levels at ±50 indicate particularly strong directional flow where reversals or consolidation become more likely.
HOW TO USE IT
Settings Configuration:
Whale Detection Section:
- Volume Average Period (default 50): Shorter periods make detection more sensitive to recent volume changes. Longer periods require more exceptional volume to trigger.
- Whale Volume Multiplier (default 1.5): How much above average volume must be to qualify. Lower = more signals. Higher = only extreme moves.
- Minimum Price Impact (default 0.1%): Filters out high-volume bars that didn't actually move price. Adjust based on asset volatility.
Trend Analysis:
- Trend Strength Period (default 20): EMA period for trend alignment bonus
- Confirmation Bars (default 3): How many bars to check for follow-through
Visual Settings:
- Flow Strength Meter: Main plot showing normalized cumulative flow
- Conviction Labels: Detailed labels showing volume ratio and price impact on extreme/high conviction whales
- Trend Background: Color-coded regime indication
Signal Interpretation:
EXTREME Conviction (Whale Emoji Labels):
These are the highest confidence signals. Large volume with significant price impact, aligned with trend, showing follow-through. These often mark the beginning or continuation of strong moves.
HIGH Conviction (Large Triangles):
Strong signals meeting most criteria. Good for main entries or adding to positions.
MEDIUM Conviction (Small Triangles):
Whale activity present but with fewer confirmation factors. Use for partial positions or require additional confirmation.
Flow Strength Meter:
- Above zero and rising: Bullish flow building
- Below zero and falling: Bearish flow building
- Approaching ±50: Extreme readings, watch for exhaustion
- Crossing zero: Flow regime change
Dashboard Information:
The top-right table shows:
- Current regime (bullish/bearish/sideways)
- Flow strength value
- Last whale direction
- Conviction level of last whale
- Current volume ratio
- Flow momentum direction
- Indicator status
Trading Strategies:
Trend Following: Take EXTREME and HIGH conviction signals aligned with the flow meter direction. Enter when flow is positive and rising for bullish whales, negative and falling for bearish whales.
Regime-Based: Only trade in bullish/bearish regimes (colored backgrounds). Avoid trading in sideways regimes where whale moves tend to reverse quickly.
Flow Reversals: When flow meter crosses zero with EXTREME conviction whale in the new direction, this often marks regime changes.
Exhaustion Plays: When flow reaches ±50 extreme levels, watch for EXTREME conviction whales in the opposite direction as potential reversal signals.
TECHNICAL DETAILS
Volume Ratio = Current Volume / SMA(Volume, Period)
Price Impact % = ABS(Close - Open) / Open × 100
Whale Detected = (Volume Ratio >= Multiplier) AND (Price Impact >= Minimum)
Whale Direction = Close > Open ? 1 : -1
Base Conviction = (Volume Ratio × Price Impact %) / 10
Trend Alignment = Whale Direction == Trend Direction ? 1.5 : 1.0
Follow-Through = Price continues whale direction over N bars ? 1.3 : 1.0
Volume Persistence = SMA(Volume Ratio, 3) > 1.5 ? 1.2 : 1.0
Final Conviction = Base × Trend Alignment × Follow-Through × Volume Persistence
Whale Flow = Whale Detected ? (Volume Ratio × Price Impact × Direction) : 0
Cumulative Flow = EMA(Whale Flow, 20)
Flow Momentum = Change(Cumulative Flow, 5)
Flow Acceleration = Change(Momentum, 3)
Normalized Flow Strength = (Cumulative Flow / Highest(ABS(Cumulative Flow), 100)) × 100
WHAT THIS SOLVES
Common Volume Indicator Problems:
- Volume spikes that don't move price (consolidation noise)
- Price moves on low volume that quickly reverse
- No differentiation between strong and weak volume signals
- Treating all high-volume bars equally regardless of context
- No measure of whether volume represents conviction or panic
Whale Flow Solutions:
- Requires both volume AND price impact for signals
- Conviction scoring separates strong moves from weak ones
- Cumulative flow shows persistent pressure vs isolated spikes
- Trend alignment and follow-through filter low-quality signals
- Tiered system lets traders choose their confidence threshold
LIMITATIONS
- Cannot identify individual whales or attribute volume to specific entities
- High volume can come from many sources (whales, retail panic, algo activity)
- Works best on liquid assets with consistent volume patterns
- Less reliable on low-volume assets or during market closures
- Conviction scoring thresholds may need adjustment per asset/timeframe
- Does not predict future whale activity, only identifies it after bars close
- Flow can remain at extremes longer than expected during strong trends
- False signals can occur during news events or earnings
- Not a standalone trading system - requires risk management and other analysis
Best used in combination with price action, support/resistance, and broader market context.
EDUCATIONAL VALUE
For traders learning about:
- Volume analysis beyond simple volume indicators
- Multi-factor signal confirmation systems
- Market regime and flow concepts
- Conviction-based scoring methodologies
- Cumulative indicator design
- Normalized plotting for cross-asset comparison
- Pine Script table and dashboard creation
Not financial advice.
POC Migration Velocity (POC-MV) [PhenLabs]📊POC Migration Velocity (POC-MV)
Version: PineScript™v6
📌Description
The POC Migration Velocity indicator revolutionizes market structure analysis by tracking the movement, speed, and acceleration of Point of Control (POC) levels in real-time. This tool combines sophisticated volume distribution estimation with velocity calculations to reveal hidden market dynamics that conventional indicators miss.
POC-MV provides traders with unprecedented insight into volume-based price movement patterns, enabling the early identification of continuation and exhaustion signals before they become apparent to the broader market. By measuring how quickly and consistently the POC migrates across price levels, traders gain early warning signals for significant market shifts and can position themselves advantageously.
The indicator employs advanced algorithms to estimate intra-bar volume distribution without requiring lower timeframe data, making it accessible across all chart timeframes while maintaining sophisticated analytical capabilities.
🚀Points of Innovation
Micro-POC calculation using advanced OHLC-based volume distribution estimation
Real-time velocity and acceleration tracking normalized by ATR for cross-market consistency
Persistence scoring system that quantifies directional consistency over multiple periods
Multi-signal detection combining continuation patterns, exhaustion signals, and gap alerts
Dynamic color-coded visualization system with intensity-based feedback
Comprehensive customization options for resolution, periods, and thresholds
🔧Core Components
POC Calculation Engine: Estimates volume distribution within each bar using configurable price bands and sophisticated weighting algorithms
Velocity Measurement System: Tracks the rate of POC movement over customizable lookback periods with ATR normalization
Acceleration Calculator: Measures the rate of change of velocity to identify momentum shifts in POC migration
Persistence Analyzer: Quantifies how consistently POC moves in the same direction using exponential weighting
Signal Detection Framework: Combines trend analysis, velocity thresholds, and persistence requirements for signal generation
Visual Rendering System: Provides dynamic color-coded lines and heat ribbons based on velocity and price-POC relationships
🔥Key Features
Real-time POC calculation with 10-100 configurable price bands for optimal precision
Velocity tracking with customizable lookback periods from 5 to 50 bars
Acceleration measurement for detecting momentum changes in POC movement
Persistence scoring to validate signal strength and filter false signals
Dynamic visual feedback with blue/orange color scheme indicating bullish/bearish conditions
Comprehensive alert system for continuation patterns, exhaustion signals, and POC gaps
Adjustable information table displaying real-time metrics and current signals
Heat ribbon visualization showing price-POC relationship intensity
Multiple threshold settings for customizing signal sensitivity
Export capability for use with separate panel indicators
🎨Visualization
POC Connecting Lines: Color-coded lines showing POC levels with intensity based on velocity magnitude
Heat Ribbon: Dynamic colored ribbon around price showing POC-price basis intensity
Signal Markers: Clear exhaustion top/bottom signals with labeled shapes
Information Table: Real-time display of POC value, velocity, acceleration, basis, persistence, and current signal status
Color Gradients: Blue gradients for bullish conditions, orange gradients for bearish conditions
📖Usage Guidelines
POC Calculation Settings
POC Resolution (Price Bands): Default 20, Range 10-100. Controls the number of price bands used to estimate volume distribution within each bar
Volume Weight Factor: Default 0.7, Range 0.1-1.0. Adjusts the influence of volume in POC calculation
POC Smoothing: Default 3, Range 1-10. EMA smoothing period applied to the calculated POC to reduce noise
Velocity Settings
Velocity Lookback Period: Default 14, Range 5-50. Number of bars used to calculate POC velocity
Acceleration Period: Default 7, Range 3-20. Period for calculating POC acceleration
Velocity Significance Threshold: Default 0.5, Range 0.1-2.0. Minimum normalized velocity for continuation signals
Persistence Settings
Persistence Lookback: Default 5, Range 3-20. Number of bars examined for persistence score calculation
Persistence Threshold: Default 0.7, Range 0.5-1.0. Minimum persistence score required for continuation signals
Visual Settings
Show POC Connecting Lines: Toggle display of colored lines connecting POC levels
Show Heat Ribbon: Toggle display of colored ribbon showing POC-price relationship
Ribbon Transparency: Default 70, Range 0-100. Controls transparency level of heat ribbon
Alert Settings
Enable Continuation Alerts: Toggle alerts for continuation pattern detection
Enable Exhaustion Alerts: Toggle alerts for exhaustion pattern detection
Enable POC Gap Alerts: Toggle alerts for significant POC gaps
Gap Threshold: Default 2.0 ATR, Range 0.5-5.0. Minimum gap size to trigger alerts
✅Best Use Cases
Identifying trend continuation opportunities when POC velocity aligns with price direction
Spotting potential reversal points through exhaustion pattern detection
Confirming breakout validity by monitoring POC gap behavior
Adding volume-based context to traditional technical analysis
Managing position sizing based on POC-price basis strength
⚠️Limitations
POC calculations are estimations based on OHLC data, not true tick-by-tick volume distribution
Effectiveness may vary in low-volume or highly volatile market conditions
Requires complementary analysis tools for complete trading decisions
Signal frequency may be lower in ranging markets compared to trending conditions
Performance optimization needed for very short timeframes below 1-minute
💡What Makes This Unique
Advanced Estimation Algorithm: Sophisticated method for calculating POC without requiring lower timeframe data
Velocity-Based Analysis: Focus on POC movement dynamics rather than static levels
Comprehensive Signal Framework: Integration of continuation, exhaustion, and gap detection in one indicator
Dynamic Visual Feedback: Intensity-based color coding that adapts to market conditions
Persistence Validation: Unique scoring system to filter signals based on directional consistency
🔬How It Works
Volume Distribution Estimation:
Divides each bar into configurable price bands for volume analysis
Applies sophisticated weighting based on OHLC relationships and proximity to close
Identifies the price level with maximum estimated volume as the POC
Velocity and Acceleration Calculation:
Measures POC rate of change over specified lookback periods
Normalizes values using ATR for consistent cross-market performance
Calculates acceleration as the rate of change of velocity
Signal Generation Process:
Combines trend direction analysis using EMA crossovers
Applies velocity and persistence thresholds to filter signals
Generates continuation, exhaustion, and gap alerts based on specific criteria
💡Note:
This indicator provides estimated POC calculations based on available OHLC data and should be used in conjunction with other analysis methods. The velocity-based approach offers unique insights into market structure dynamics but requires proper risk management and complementary analysis for optimal trading decisions.
Volume-Weighted Money Flow [sgbpulse]Overview
The VWMF indicator is an advanced technical analysis tool that combines and summarizes five leading momentum and volume indicators (OBV, PVT, A/D, CMF, MFI) into one clear oscillator. The indicator helps to provide a clear picture of market sentiment by measuring the pressure from buyers and sellers. Unlike single indicators, VWMF provides a comprehensive view of market money flow by weighting existing indicators and presenting them in a uniform and understandable format.
Indicator Components
VWMF combines the following indicators, each normalized to a range of 0 to 100 before being weighted:
On-Balance Volume (OBV): A cumulative indicator that measures positive and negative volume flow.
Price-Volume Trend (PVT): Similar to OBV, but incorporates relative price change for a more precise measure.
Accumulation/Distribution Line (A/D): Used to identify whether an asset is being bought (accumulated) or sold (distributed).
Chaikin Money Flow (CMF): Measures the money flow over a period based on the close price's position relative to the candle's range.
Money Flow Index (MFI): A momentum oscillator that combines price and volume to measure buying and selling pressure.
Understanding the Normalized Oscillators
The indicator combines the five different momentum indicators by normalizing each one to a uniform range of 0 to 100 .
Why is Normalization Important?
Indicators like OBV, PVT, and the A/D Line are cumulative indicators whose values can become very large. To assess their trend, we use a Moving Average as a dynamic reference line . The Moving Average allows us to understand whether the indicator is currently trending up or down relative to its average behavior over time.
How Does Normalization Work?
Our normalization fully preserves the original trend of each indicator.
For Cumulative Indicators (OBV, PVT, A/D): We calculate the difference between the current indicator value and its Moving Average. This difference is then passed to the normalization process.
- If the indicator is above its Moving Average, the difference will be positive, and the normalized value will be above 50.
- If the indicator is below its Moving Average, the difference will be negative, and the normalized value will be below 50.
Handling Extreme Values: To overcome the issue of extreme values in indicators like OBV, PVT, and the A/D Line , the function calculates the highest absolute value over the selected period. This value is used to prevent sharp spikes or drops in a single indicator from compromising the accuracy of the normalization over time. It's a sophisticated method that ensures the oscillators remain relevant and accurate.
For Bounded Indicators (CMF, MFI): These indicators already operate within a known range (for example, CMF is between -1 and 1, and MFI is between 0 and 100), so they are normalized directly without an additional reference line.
Reference Line Settings:
Moving Average Type: Allows the user to choose between a Simple Moving Average (SMA) and an Exponential Moving Average (EMA).
Volume Flow MA Length: Allows the user to set the lookback period for the Moving Average, which affects the indicator's sensitivity.
The 50 line serves as the new "center line." This ensures that, even after normalization, the determination of whether a specific indicator supports a bullish or bearish trend remains clear.
Settings and Visual Tools
The indicator offers several customization options to provide a rich analysis experience:
VWMF Oscillator (Blue Line): Represents the weighted average of all five indicators. Values above 50 indicate bullish momentum, and values below 50 indicate bearish momentum.
Strength Metrics (Bullish/Bearish Strength %): Two metrics that appear on the status line, showing the percentage of indicators supporting the current trend. They range from 0% to 100%, providing a quick view of the strength of the consensus.
Dynamic Background Colors: The background color of the chart automatically changes to bullish (a blue shade by default) or bearish (a default brown-gray shade) based on the trend. The transparency of the color shows the consensus strength—the more opaque the background, the more indicators support the trend.
Advanced Settings:
- Background Color Logic: Allows the user to choose the trigger for the background color: Weighted Value (based on the combined oscillator) or Strength (based on the majority of individual indicators).
- Weights: Provides full control over the weight of each of the five indicators in the final oscillator.
Using the Data Window
TradingView provides a useful Data Window that allows you to see the exact numerical values of each normalized oscillator separately, in addition to the trend strength data.
You can use this window to:
Get more detailed information on each indicator: Viewing the precise numerical data of each of the five indicators can help in making trading decisions.
Calibrate weights: If you want to manually adjust the indicator weights (in the settings menu), you can do so while tracking the impact of each indicator on the weighted oscillator in the Data Window.
The indicator's default setting is an equal weight of 20% for each of the five indicators.
Alert Conditions
The indicator comes with a variety of built-in alerts that can be configured through the TradingView alerts menu:
VWMF Cross Above 50: An alert when the VWMF oscillator crosses above the 50 line, indicating a potential bullish momentum shift.
VWMF Cross Below 50: An alert when the VWMF oscillator crosses below the 50 line, indicating a potential bearish momentum shift.
Bullish Strength: High But Not Absolute Consensus: An alert when the bullish trend strength reaches 60% or more but is less than 100%, indicating a high but not absolute consensus.
Bullish Strength at 100%: An alert when all five indicators (MFI, OBV, PVT, A/D, CMF) show bullish strength, indicating a full and absolute consensus.
Bearish Strength: High But Not Absolute Consensus: An alert when the bearish trend strength reaches 60% or more but is less than 100%, indicating a high but not absolute consensus.
Bearish Strength at 100%: An alert when all five indicators (MFI, OBV, PVT, A/D, CMF) show bearish strength, indicating a full and absolute consensus.
Summary
The VWMF indicator is a powerful, all-in-one tool for analyzing market momentum, money flow, and sentiment. By combining and normalizing five different indicators into a single oscillator, it offers a holistic and accurate view of the market's underlying trend. Its dynamic visual features and customizable settings, including the ability to adjust indicator weights, provide a flexible experience for both novice and experienced traders. The built-in alerts for momentum shifts and trend consensus make it an effective tool for spotting trading opportunities with confidence. In essence, VWMF distills complex market data into clear, actionable signals.
Important Note: Trading Risk
This indicator is intended for educational and informational purposes only and does not constitute investment advice or a recommendation for trading in any form whatsoever.
Trading in financial markets involves significant risk of capital loss. It is important to remember that past performance is not indicative of future results. All trading decisions are your sole responsibility. Never trade with money you cannot afford to lose.
4 diffs (CB & IBIT Premium)📊 Script Name: 4 diffs (CB & IBIT Premium)
Version: Pine Script® v6
Overlay: Yes (table displayed on chart)
🧠 What it Does:
This script tracks four important Bitcoin price differentials to monitor spot/perpetual/futures price inefficiencies and ETF premium/discounts, and displays them in a live table on the chart. It helps traders identify arbitrage opportunities or institutional pricing signals.
📈 Displayed Metrics:
Coinbase Premium
→ Difference between Coinbase spot and Binance spot prices.
→ Use case: US vs. offshore spot market divergence.
Coinbase Spot vs Binance Perpetual
→ Difference between Coinbase spot and Binance perpetual price.
→ Use case: Spot-perp basis, often used for funding rate insights or market stress.
Bybit vs Binance Perpetual
→ Difference between Bybit perp and Binance perp price.
→ Use case: Compare derivative pricing across major offshore exchanges.
IBIT Premium (CME vs ETF-implied)
→ Compares CME futures price vs. IBIT’s implied spot BTC value
→ IBIT implied BTC = IBIT ETF price ÷ (BTC held / shares outstanding)
→ Use case: Gauge institutional premium/discount and ETF arbitrage clues.
🛠️ Customization:
Text color of the table is adjustable via the input setting.
📌 Visual Output:
A fixed 2×4 table appears in the top-right corner of the chart.
Each row shows a label and the live price difference in USD.
Chaikin Money Flow (CMF) [ParadoxAlgo]OVERVIEW
This indicator implements the Chaikin Money Flow oscillator as an overlay on the price chart, designed to help traders identify institutional money flow patterns. The Chaikin Money Flow combines price and volume data to measure the flow of money into and out of a security, making it particularly useful for detecting accumulation and distribution phases.
WHAT IS CHAIKIN MONEY FLOW?
Chaikin Money Flow was developed by Marc Chaikin and measures the amount of Money Flow Volume over a specific period. The indicator oscillates between +1 and -1, where:
Positive values indicate money flowing into the security (accumulation)
Negative values indicate money flowing out of the security (distribution)
Values near zero suggest equilibrium between buying and selling pressure
CALCULATION METHOD
Money Flow Multiplier = ((Close - Low) - (High - Close)) / (High - Low)
Money Flow Volume = Money Flow Multiplier × Volume
CMF = Sum of Money Flow Volume over N periods / Sum of Volume over N periods
KEY FEATURES
Big Money Detection:
Identifies significant institutional activity when CMF exceeds user-defined thresholds
Requires volume confirmation (volume above average) to validate signals
Uses battery icon (🔋) for institutional buying and lightning icon (⚡) for institutional selling
Visual Elements:
Background coloring based on money flow direction
Support and resistance levels calculated using Average True Range
Real-time dashboard showing current CMF value, volume strength, and signal status
Customizable Parameters:
CMF Period: Calculation period for the money flow (default: 20)
Signal Smoothing: EMA smoothing applied to reduce noise (default: 5)
Big Money Threshold: CMF level required to trigger institutional signals (default: 0.15)
Volume Threshold: Volume multiplier required for signal confirmation (default: 1.5x)
INTERPRETATION
Signal Types:
🔋 (Battery): Indicates strong institutional buying when CMF > threshold with high volume
⚡ (Lightning): Indicates strong institutional selling when CMF < -threshold with high volume
Background color: Green tint for positive money flow, red tint for negative money flow
Dashboard Information:
CMF Value: Current Chaikin Money Flow reading
Volume: Current volume as a multiple of 20-period average
Big Money: Status of institutional activity (BUYING/SELLING/QUIET)
Signal: Strength assessment (STRONG/MEDIUM/WEAK)
TRADING APPLICATIONS
Trend Confirmation: Use CMF direction to confirm price trends
Divergence Analysis: Look for divergences between price and money flow
Volume Validation: Confirm breakouts with corresponding money flow
Accumulation/Distribution: Identify phases of institutional activity
PARAMETER RECOMMENDATIONS
Day Trading: CMF Period 14-21, higher sensitivity settings
Swing Trading: CMF Period 20-30, moderate sensitivity
Position Trading: CMF Period 30-50, lower sensitivity for major trends
ALERTS
Optional alert system notifies users when:
Big money buying is detected (CMF above threshold with volume confirmation)
Big money selling is detected (CMF below negative threshold with volume confirmation)
LIMITATIONS
May generate false signals in low-volume conditions
Best used in conjunction with other technical analysis tools
Effectiveness varies across different market conditions and timeframes
EDUCATIONAL PURPOSE
This open-source indicator is provided for educational purposes to help traders understand money flow analysis. It demonstrates the practical application of the Chaikin Money Flow concept with visual enhancements for easier interpretation.
TECHNICAL SPECIFICATIONS
Overlay indicator (displays on price chart)
No repainting - all calculations are based on closed bar data
Suitable for all timeframes and asset classes
Minimal resource usage for optimal performance
DISCLAIMER
This indicator is for educational and informational purposes only. Past performance does not guarantee future results. Always conduct your own analysis and consider risk management before making trading decisions.
Quantum Fibonacci Flow
Quantum Fib Ribbon (QFLOW)
📖 How It Works
A three-band ribbon built from Fibonacci-scaled moving averages, filled and colored to reflect current momentum strength and direction.
Green when bullish flow is strong, red when bearish flow dominates, and orange in between to highlight slowing momentum.
⚙️ Key Controls
* Base Length: Adjusts the ribbon’s overall lookback.
* Ribbon Opacity: How solid or translucent the fill appears.
* Momentum Scale & Exponent: Fine-tune how sensitively the ribbon reacts to price speed versus volatility.
* Override Threshold: Determines at what momentum level the ribbon “snaps” to full green or red.
🚨 Over-Extension Logic
When price extends significantly above or below the ribbon, it often signals exhaustion.
The first return to the ribbon after such an extension frequently acts as strong support or resistance — offering high-probability trade setups.
🔺 Optional Trade Signals
Enable the over-extension alert to mark these key areas:
* A green triangle shows price extended below the ribbon, then retested → potential long.
* A red triangle shows price extended above, then retested → potential short.
🎯 How to Trade
• Breakout-Retest Setup: Watch for over-extended price moves. The first comeback to the ribbon often marks key levels of interest for a reversal or continuation.
Market Flow with Convergence🟪 Overview
The "Market Flow with Convergence" indicator leverages advanced volume metrics to accurately measure the underlying market pressure by analyzing the cumulative buying and selling volumes with the TICK index. This unique combination helps identify potential market reversals and trends, providing a comprehensive view of market flow. The indicator is particularly useful for those looking to capture convergence and divergence signals, crucial for making informed trading decisions.
🟪 Features
Volume-Based Convergence: Calculates the buying and selling pressures based on volume data, to produce color coded convergence. Visually represents areas where buying or selling pressures align.
Divergence Detection: Identifies and visually represents areas where buying and selling pressures diverge from each other, which can indicate key market turning points.
TICK Index: Incorporates data from the TICK index, normalizing and smoothing the cumulative data to highlight potential market reversals and trends.
Cumulative Flow Crossovers: Identifies and visually represents areas where buying and selling pressures crossover and become the dominant market flow.
Customizable Visualization: Uses conditional coloring and shapes to provide a clear, easy-to-interpret visual representation of the market state, making it easier to spot critical signals at a glance.
🟪 How it Works
Leveraging a combination of volume analysis and market breadth data, particularly the TICK index, to assess the underlying market pressure. By normalizing key market metrics, the indicator provides a clear view of buying and selling activity over time. The flow is standard across all charts, but convergence will change based on the charts ticker.
The indicator tracks and aggregates movements in the TICK index, allowing for an assessment of the market's cumulative momentum. This cumulative measure, combined with volume-based analysis, helps traders identify potential shifts in market trends, whether they be continuations or reversals.
The visual output of the indicator is designed to be intuitive and actionable. Key market conditions are highlighted through color-coded histograms and plot shapes, making it easy to interpret the data and apply it in real-time trading scenarios.
Understanding the Convergence Color Codes
Gray: represent periods of the markets lack of convergence, where neither buyers nor sellers have a decisive advantage. These conditions may indicate market indecision or a potential reversal point. The gray bars can also suggest a period of consolidation before a significant move.
Green: this indicates that buying pressure is greater than selling pressure, suggesting a bullish market condition. This is typically seen when the market may be trending upwards or when buyers are gaining control.
Red: signifies that selling pressure exceeds buying pressure, indicating a bearish market condition. This can be a signal that the market is trending downwards or that sellers are dominating the market.
Understanding Flow Crossovers
Green Dots: correspond to crossovers where the buying pressure (from the TICK) crosses above the selling pressure. This crossover often signals a potential upward move or a bullish market opportunity.
Red Dots: indicate a crossover where the selling pressure (from the TICK) crosses above the buying pressure. This crossover typically suggests a potential downward move or a bearish market signal.
🟪 Usage Examples
If the selling flow is consistently over buying and convergence is red, it indicates a strong and sustained bearish trend. This points to a potential downward move, with sellers predominantly in control.
When the buying flow is consistently over selling and convergence is green, it indicates a strong and sustained bullish trend. This can lead to a potential upward move, with buyers predominantly in control.
No convergence can mean it's time to be cautious. This could be a sign of market indecision, and it's often wise to wait for confirmation. This can lead to sideways market conditions or inverse of the current dominant flow.
🟪 Settings
This indicator does not require any user inputs as it automatically calculates the necessary data based on the ticker's price and volume information. It’s ready to use immediately upon application to any chart.
🟪 Limitations
This indicator is only works during the New York session of trading. It's flow values will not function outside of that trading session.
🟪 Conclusion
We believe in providing user-friendly tools to help speed up traders technical analysis and implement easy trading strategies. The "Market Flow with Convergence" offers a unique way to gauge prevailing market conditions, with simple visual cues for identifying trends.
🟪 Risk Disclaimer
All content, tools, scripts & education provided, are for informational & educational purposes only. Trading is risk and most lose their money, past performance does not guarantee future results.
Candle Sentiment Volume FlowCandle Sentiment Volume Flow (CSVF)
NOTE: The indicator showcased in the 1H chart is utilized on the ticker 'SPY'.
The Candle Sentiment Volume Flow (CSVF) is a custom trading indicator designed to analyze and visualize the momentum and volume flow of a financial instrument within a specified range of candles in a chart. It provides traders with a snapshot of the prevailing market sentiment by calculating the percentage of green (bullish) and red (bearish) candles and the volume associated with them over a defined range of periods (X Range).
Core Components:
1. Candle Counting:
- Green Count: Total number of green (bullish) candles in the defined range.
- Red Count: Total number of red (bearish) candles in the defined range.
2. Volume Calculation:
- Green Volume: Cumulative volume of green candles.
- Red Volume: Cumulative volume of red candles.
3. Percentage Calculation:
- Green Percentage: (Green Count / X Range) * 100
- Red Percentage: (Red Count / X Range) * 100
- Green Volume Percentage: (Green Volume / Total Volume) * 100
- Red Volume Percentage: (Red Volume / Total Volume) * 100
4. User-Defined Parameters:
- Candle Range (X Range): Number of candles to be considered for calculations.
- Green Threshold: User-defined percentage to identify significant bullish sentiment.
- Red Threshold: User-defined percentage to identify significant bearish sentiment.
Visual Component:
- Table Display:
A table is displayed on the top right of the chart, providing a quick overview of the calculated percentages and total volume.
The table is color-coded for easy interpretation and includes:
- Green and Red Candle Percentages
- Green and Red Volume Percentages
- Total Volume
Functional Workflow:
- The indicator loops through the past 'X' candles within the defined range, counting the number of green and red candles and accumulating their respective volumes.
- It calculates the percentage of green and red candles and the percentage of volume associated with them.
- The calculated values are displayed in a table on the chart, providing a clear and concise view of the candle sentiment and volume flow within the specified range.
Machine Learning: MFI Heat Map [YinYangAlgorithms]Overview:
MFI Heat Maps are a visually appealing way to display the values of 29 different MFIs at the same time while being able to make sense of it. Each plot within the Indicator represents a different MFI value. The higher you get up, the longer the length that was used for this MFI. This Indicator also features the use of Machine Learning to help balance the MFI levels. It doesn’t solely rely upon Machine Learning but instead incorporates a growing length MFI averaged with the Machine Learning MFI at any given index.
For instance, say we are calculating the 10th plot from the bottom, the MFI would be an average of:
MFI(source, 11)
Machine Learning MFI at Index of 10
We do it this way as they both help smooth each other out without relying solely on just one calculation method.
Due to plot limitations, you are capped at 28 Plot Amounts within this indicator, but that is still quite a bit of information you can glean from a Heat Map.
The Machine Learning used in this indicator is of the K-Nearest Neighbor (KNN). It uses a Fast and Slow MFI calculation then sorts through them over Machine Learning Length and calculates the differences between them. It then slices off KNN length to create our Max/Min Distances allotted. It adds the average between Fast and Slow MFIs to a Viable Distances array if their distances are within the KNN Min/Max distance. It then averages all distances in the Viable Distances array and returns the result.
The result of the KNN Function is saved to another ML Data array whose length is that of Plot Amount (Heat Map Size). This way each Index of the ML Data array can be indexed according to the Heat Map Size.
The Average of the ML Data array is the MFI line (white) that you’ll see plotted on the Indicator. There is also the SMA of the MFI Average (orange) which is likewise plotted. These plots allow you to visualize where the ML MFI is sitting and can potentially be useful for seeing when the MFI Average and SMA cross over and under each other.
We’ve heard many people talk highly of RSI, but sadly not too many even refer to MFI. MFI oftentimes may be overlooked, especially with new traders who may not even know what it is. Essentially MFI is an RSI but it also incorporates Volume into its calculations, which in our opinion leads to a more accurate reading; afterall, what is price movement without Volume.
Tutorial:
You may be thinking, this Indicator looks appealing to the eye, but how do I benefit from it trading wise?
Before we get into our visual examples, let's talk briefly about what makes Heat Maps in general a useful tool for trading. Heat Maps give us the ability to visualize and understand lots of data while removing the clutter. We can understand the data of 29 different MFIs without having to look at and decipher 29 different MFI plots. When you overlay too many MFI lines on top of each other, they can be very difficult to read and oftentimes end up actually hindering your Technical Analysis. For this reason, we have a simple solution to this problem; Heat Maps. This MFI Heat Map allows you to easily know (in a relative %) what the MFI level is for varying lengths. For Instance, the First (bottom) plot indexes an MFI of (K(0) (loop of Plot Amount) + Smoothing Length (default 1)) = 1. Since this is indexing (usually) a very low length, it will change much quicker. Whereas the Last (top) plot indexes an MFI of (K(27) (loop of Plot Amount) + Smoothing Length (default 1)) = 28. This is indexing a much higher length of MFI which results in the MFI the higher you go up in the Heat Map to move much slower.
Heat Maps give us the ability to see changes happening over multiple MFIs at the same time, which can be very useful for seeing shifts in MFI / Momentum. Remember, MFI incorporates Volume, so even if the price goes up a lot, if there was low volume, the MFI won’t move as much as an RSI would. However, likewise, if there is high volume but low price movement, the MFI will move slightly more than the RSI.
Heat Maps change color based on their MFI level. If the MFI is >= 90 it is HOT (red), if the MFI <= 9 it is COLD (teal, think of ICE). Green represents an MFI of 50-59 and Dark Blue represents an MFI of 40-49. Green and Dark blue are the most common colors as all the others are more ‘Extreme’ MFI levels.
Okay, time to get to the Examples :
Since there is so much going on in Heat Maps, we’ve decided to focus this tutorial to this specific area and talk about individual locations before talking about it as a whole.
If you refer to the example above where there are 2 white circles; these white circles are highlighting a key location you’ll be wanting to identify within your Heat Maps, many things are happening here:
The MFI crossed over the SMA (bullish).
The Heat Map started changing from mid/dark Blue (30-50 MFI) to Green (50-59 MFI) around the midline (the 50% dashed like).
The Lower levels of the Heat Map are turning Yellow/Orange/Red (60-100 MFI).
The Upper Levels of the Heat Map are still Light Blue - Green (10-50 MFI).
The 4 Key points above, all point towards potential Bullish Momentum changes. You’re likely wondering, but why? Let's discuss about each one in more specific detail:
1. The MFI crossed over the SMA (bullish): What this tells us is that the current MFI Average is now greater than its average over the last (default) 16 bars. This means there's been a large amount of Money Flow (Price and Volume) recently (subjectively based on the last (default) 16 average). This is one of the leading Bullish / Bearish signals you will see within this Indicator. You can enable Signals within the Settings and/or even add Alerts for when these crossings occur.
2. The Heat Map started changing from mid/dark Blue (30-50 MFI) to Green (50-59 MFI) around the midline (the 50% dashed like): This shows us that the index’s in the mid (if using all 28 heat map plots it would be at 14) has already received some of this momentum change. If you look at the second white circle (right), you’ll also notice the higher MFI plot indexes are also green. This is because since their length is long they still have some momentum and strength from the first white circle (left). Just because the first white circle failed in its bullish push, doesn’t mean it didn’t achieve momentum that would later on help to push the price up.
3. The Lower levels of the Heat Map are turning Yellow/Orange/Red (60-100 MFI): It occurred somewhat in the left white circle, but mainly in the right white circle. This shows us the MFI is very high on the lower lengths, this may lead to the current, middle and higher length MFIs following suit soon. Remember it has to work its way up, the higher levels can’t go red unless the lower levels go red first and the higher levels can also lag quite a bit behind and take awhile to catch up, this is normal, expected and meant to happen. Vice versa is also true with getting higher levels to go cold (light teal (think of ICE)).
4. The Upper Levels of the Heat Map are still Light Blue - Green (10-50 MFI): You might think at first that this is a bad thing, but it's not! Remember you want to be Fearful when others are Greedy and Greedy when others are Fearful! You don’t want to buy when the higher levels have a high MFI, you want to buy when you see the momentum pushing up in the lower MFI levels (getting yellow/orange/red in the low levels) while it is still Cold in the higher levels (BLUE OR GREEN, nothing higher than green as it is already slightly too high). There will be many times that it is Yellow or possibly Orange in the high levels and the bullish push still happens, but this is much more risky! The key to trading is to minimize risks while maximizing potential.
Hopefully now you’re getting an idea of how to spot potential bullish momentum changes, but what about bearish momentum changes? Technically they are the exact opposite, so we don’t need to go into as much detail, but lets still take a look at a few examples:
In the example above we marked the 3 times where it was displaying overly bullish characteristics. We marked the bullish momentum occurring with arrows. If you look closely at the start of the arrow to where it finishes, you’ll notice how the heat (HOT)(RED) works its way up from the lower levels to the higher levels. We then see the MFI to SMA cross under. In all 3 of these examples the heat made it all the way to the top of the chart. These are all very bearish signals that represent a bearish momentum movement that may occur soon.
Also, please note, the level the MFI is at DOES matter! That line isn’t there simply for you to see when there are crosses over and under. The MFI is considered to be Overbought when it is greater than 70 (the upper white dashed line, it is just formatted to be on a different scale cause there are 28 plots, but it represents 70). The MFI is considered to be Oversold when it is less than 30 (the lower white dashed line).
If we look to the left a little here where a big drop in price occurred shortly after our MFI and SMA crossed, would we have been able to identify it using the Heat Maps? Likely, No. There was some color change in the lower levels a few bars prior that went yellow/orange/red but before this cross happened they all went back to Dark Blue. In the middle section when the cross happened it was only Green and Yellow and in the upper section we are Blue. This would be a very risky trade to go on as the only real Bearish Indication was the MFI to SMA cross under. Remember, you want to reduce risk, you don’t want to simply trade on everytime the MFI and SMA cross each other or you’ll be getting yourself into many risky trades based on false signals.
Based on what you’ve learned above, can you see the signs that are indicating where this white circle may have potential for a bullish momentum change?
Now that we are more zoomed in, you may also be noticing there are colors to the price bars. This can be disabled in the settings, but just so you know what they mean, let’s zoom in a little more and talk about it.
We’ve condensed the Indicator a bit so you can see the bars better here. The colors that are displayed on these bars are the Heat Map value for your MFI (the white line in the Indicator). This way you can better see when the Price is Hot and Cold. As you may see while looking, the colors generally go from cold to hot when bullish momentum is happening and hot to cold when bearish momentum is happening. We don’t recommend solely looking at the bars as indicators to MFI momentum change, as seeing the Heat Map will give you much more data; however it can be nice to see the Heat Map projected on the bars rather than trying to eyeball it yourself or hover over each bar specifically to see their levels.
We will conclude our Tutorial here. Hopefully this has given you some insight to how useful Heat Maps can be and why it works well with a Machine Learning (KNN) Model applied to the MFI.
PLEASE NOTE: You can adjust the line width for the Heat Map within the settings. If you condense the Indicator a lot or have a small screen, likely use a length of 1-2. If you have it stretched out or a large screen, a length of 2-3 will work nice. You just don’t want to have the lines overlapping or it defeats the purpose of a Heat Map. Also, the bigger the linewidth, generally you’ll want to increase the Transparency within the Settings also as it can get quite bright and hurt your eyes over time.
Settings:
MFI:
Show MFI and SMA Crossing Signals: MFI and SMA Crossing is one of the leading Bullish and Bearish Signals in this Indicator. You can also add alerts for these signals.
Plot Amount: How many plots are used in this Heat Map. (2 - 28).
Source: The Source to use in all MFI calculations.
Smooth Initial MFI Length: How much to smooth the Fast and Slow MFI calculation by. 1 = No smoothing.
MFI SMA Length: What length we smooth the MFI Average over to get our MFI SMA.
Machine Learning:
Average MFI data by adding a lookback to the Source: While populating our Heat Map with the MFI's, should use use the Source each MFI Length increase or should we also lookback a Source each MFI Length Increase.
KNN Distance Requirement: To be a valid KNN, it needs to abide by a Distance calculation. Generally only Max is used, but you can change it if it suits your trading style better.
Machine Learning Length: How much ML data should we store? The longer the length generally the smoother the result; which may not be as accurate for something like a Heat Map, so keeping this relatively low may lead to more accurate results.
KNN Length: How many KNN are used in the slice to calculate max/min distance allowed.
Fast Length: Fast MFI length used in KNN to calculate distances by comparing its distance with the Slow MFI Length.
Slow Length: Slow MFI length used in KNN to calculate distances by comparing its distance with the Fast MFI Length.
Smoothing Length: When populating our Heat Map, at what length do we start our MFI calculations with (A Higher value with result in a slower and more smoothed MFI / Heat Map).
Colors:
Change Bar Color: Change bar colors to MFI Avg Color.
Heat Map Transparency: If there isn't any transparency it can be a little hard on the eyes. The Greater the Line Width, generally the more transparency you'll want for your eyes.
Line Width: Set how wide the Heat Map lines are
MFI 90-100 Color: Color when the MFI is between these levels.
MFI 80-89 Color: Color when the MFI is between these levels.
MFI 70-79 Color: Color when the MFI is between these levels.
MFI 60-69 Color: Color when the MFI is between these levels.
MFI 50-59 Color: Color when the MFI is between these levels.
MFI 40-49 Color: Color when the MFI is between these levels.
MFI 30-39 Color: Color when the MFI is between these levels.
MFI 20-29 Color: Color when the MFI is between these levels.
MFI 10-19 Color: Color when the MFI is between these levels.
MFI 0-100 Color: Color when the MFI is between these levels.
If you have any questions, comments, ideas or concerns please don't hesitate to contact us.
HAPPY TRADING!
YinYang MomentumOverview:
YinYang Momentum is a Price, Volume and Momentum Oscillator. Its job is to help you see swings in momentum and the strength of it. It also creates signals (Blood Diamond (Bear) and Support Cross (Bull)) where these momentum swings may occur. YinYang Momentum features 3 Price and 3 Volume 'Mountains with Ice'. There are Predictive, Regular and Confirming Mountains. You have the ability to overlay them on top of each other which helps to decipher momentum swings. The Volume Mountains are very important for showing the strength behind the Price Mountains and their Signals. If you look, you'll notice, as the 'Ice' starts to curve into the 'Mountains' it signals a potential shift in Momentum. The green Mountain is the Predictive, the Blue is the Regular and the Purple is the Confirming. You'll also notice that the Predictive Mountains movements happen first and move much more drastically. When you notice the regular starts to follow suit, there is a potential for a momentum shift. Shortly after, a signal will occur if this shift is actually happening. You can also check the Confirming Mountain for more confirmation (however, leaving the Confirming Mountain active can be a little confusing and make it harder to read signals). YinYang Momentum also features Information Tables. These tables display how the Blood Diamonds and Support Cross' are fairing on different Timeframes. This way, you'll be able to see if it's in a Bullish or Bearish state on critical Time Frames no matter what Timeframe you're trading on.
Before we move onto the tutorial, let's discuss what each of these Mountains and Ice are and how they work. All of our Mountains and Ice are calculated using the same algorithm but with varying sources, lengths and multipliers. We are essentially calculating differences in movement and then sending those differences into an EMA for the Mountain Base and SMA for the mountain Ice. The values we use for the Predictive are much lower and therefore occur much quicker as they aren’t averaged out on longer lengths/time frames; this helps to make it more of a leading Indicator which may predict momentum changes. Our Regular is over a medium length and multipliers that result in a smooth but generally also gradual movement that helps reliability; this helps it act as more of an ‘in the now’ Indication of momentum changes. Our Confirming uses lengths and multipliers that are of a higher value and longer span; this makes it more difficult to use for determining entry / exit locations as it's more of a lagging indicator, but it helps to add confirmation as to whether the momentum change has occurred and wasn't a false signal.
Tutorial:
YinYang Momentum may look like a lot is going on.. And well that’s cause there is.. But that doesn’t mean it's confusing or hard to read once you know what you’re looking for!
To make this tutorial a little easier to understand, let's turn off a few settings and dissect this indicator one thing at a time. YinYang Momentum features Price and Volume mountains. Currently in the photo above we have 2 Price Mountains and 1 Volume Mountain turned on (this is how it's set by default and how we recommend using it), however there are 3 Mountains available for both Price and Volume:
Predictive
Regular
Confirming
We are going to deactivate everything so it's the Regular Price Mountain + Ice enabled.
Now that it is just the Regular Price Mountain and Ice it is much easier to teach and understand. As you can see there are two different colors on the mountain. The dark blue is the Mountain and the light blue is the Ice.
The Ice moves before the mountain does and when the momentum happens it is larger than it (below or above). When the momentum starts to change however, the Ice curves inside of the mountain. As you can see here, where the BUY signal (red cross) is, the Ice curves into the mountain; also where the SELL signal (red circle) is, the Ice curves into the mountain. The Ice curving into the mountain is a very important leading indication that momentum is changing and the Signals (crosses and diamonds) help solidify this momentum change.
The Index levels for YinYang Momentum is a little different than most oscillators that range from 0-100. Instead YinYang Momentum’s neutral level is 0 and it ranges from -100 to 100. For these reasons, the Viable Range for Buying is -40 to -70 and the Optimal Range for Buying is -70 to -100. For Selling, the Viable Range is 40 to 70 and the Optimal Range is 70 to 100.
If you look at the example above, you can see whenever it has been in the optimal range and the signal occurred, it may potentially be an amazing time to buy or sell. However, when it is within the Viable Range it can be hit or miss. The reason for this is because we are only looking at the Regular Price Mountain and Ice. Once we turn on the Predictive Price and Regular Volume we will have a much clearer idea as to what is noise and what is a true purchase signal. Why don’t we turn on Predictive Price Mountains and Ice so you can see what we’re talking about:
So there are 2 big things that changed when we added the predictive price mountains + ice.
We can see that where the orange circle is, is just noise, it isn’t a viable buy signal.
We can see that where the red circle is, is actually a better spot to sell than the previous marked white circle slightly to the right of it.
We will explain why both above are true, but first let's explain how we were able to deduce this information.
There are 5 rules when deciphering if the signal is a true signal or just noise.
You want the predictive mountain to be decently spaced out from the regular mountain. Refer to the example above how that should look. Remember it's predictive so with parabolic movements it will get quite spaced out. If the price went up but slowly, it generally won’t be as spaced and isn’t as strong of a signal predictor.
You want the Ice to be of a decent size and to curve in on both the Predictive and Regular Mountains. Both arrows (red and white circle arrows) are pointing to Ice that does just that. The Predictive mountain is of decent size and spaced out and the Ice curves in sharply on the Predictive, before curving in sharply on the Regular and then we get both Predictive and Regular Support Cross on the Same Bar.
When you get the Signals (Predictive and Regular) the amount of bars between them matters a lot! On the same Bar is ideal, however 1-2, max 3 bars between them is acceptable. Any more than 3 bars spacing and it's too risky of a signal because that means momentum change was happening but then stopped before picking back up. This doesn’t mean it can’t be a good signal, it just means it is much more risky and we don’t recommend it.
You don’t want Signal Clustering. You can see an example of this from the picture above. Signal Clustering is where signals are back to back over and over. During this time the momentum is in a consolidation phase and easily swaps back and forth between signals. These signals are not reliable and should not be traded on. We only want to act on clear momentum based signals.
Last but certainly not least, actually, the most important! Ensure that the Mountain + Ice for both the Predictive and Regular is at the bare minimum touching (preferably inside) the Viable Range. The Optimal range is best, but most mountains don’t make it that far. Viable Range is where you will make most of your trades from. Sometimes a great signal happens with all 5 of these rules but it is only touching the Viable Range right at 40 or -40. This CAN be okay, but is also much more risky than if it was at 50 to 60 or -50 to -60.
Based on the 5 rules mentioned, take a second and look back at the photo where we initially added the Predictive Price mountains and Ice, can you decipher why the orange circle is just noise, and can you see why the red circle is a better sell location than the white circle slightly to the right of it?
Let’s bring that photo back up now and let’s discuss this:
Let's start with the orange circle:
This orange circle, without the predictive, was hard to tell if it was a good location to buy or not, but the second we turned it on we could clearly see it was just noise.
The spacing between the Predictive mountains and the Regular is almost non-existent.
There was signal clustering shortly before this signal.
Remember, there doesn’t have to be many rules broken for a signal to be either too risky or not valid at all. The safest trades are ones where it meets the requirements of all 5 rules (6 once we talk about volume, but 5 price rules).
Now, let's discuss the red circle:
This red circle, although it could have been chosen with just the regular, was much more noticeable with the predictive added on top.
It has a perfect spacing between the Predictive and the Regular all the way to the peak.
The Ice is large and both curve in very nicely towards the mountains.
The signals are within 2 bars apart from each other.
There is no signal clustering.
The Predictive is within the Viable Range and the Regular is just touching it.
For these reasons, the red circle actually would have been where you sold and not the white circle beside it.
This pretty much covers the Price Mountains, but wait! The most important Cherry on Top to your decision making process is coming next!
We have just enabled our Regular Volume Mountains and Ice (which are the black mountains + ice). As you can see, we have circled what we call the ‘Perfect Combo’. This Perfect combo is when you have all 5 Price rules met COMBINED with a high volume mountain. The Volume Mountain and Ice act as strength. They aren’t biased towards bulls or bears, they simply show strength to whatever signal is present with it.
For example, if all 5 rules are met with Price on a Blood Diamond (Bear) Signal and there is a High Volume Mountain then this is also a ‘Perfect Combo’. That Blood Diamond signal will potentially have great strength behind it. The Viable and Optimal Ranges don’t apply to volume mountains. Any volume mountain, even close to the Viable Range, is considered to be a very high mountain. High volume is when the mountain is above 0 and low volume is when it's below 0. Any signal with low volume has less of a chance of being correct, regardless of whether it abides by all 5 price rules.
You can see here that the 5 Price rules are achieved but the volume mountain is low. It is at -25. Since the 5 Price rules are right, there is still a decent amount of accuracy to this signal and the price did plummet after, but not nearly as much as it would have if the volume mountain was high with it.
We have turned our Confirming Price Mountain on here so you can get an idea of what it looks like and how it’s used. If you refer to the Support Crosses and Blood Diamonds circled in white, you’ll see that although they both received their signals on the Predictive and Regular, neither of them received it on the Confirming. This shows that these signals lost momentum shortly after. However if you look at both the red and green circles, you’ll see that they both received their confirming signals and that it helped give those signals momentum. The Confirming Price Mountain is meant to help confirm if the momentum change is still on track and the max 3 bars from the regular signal rule still applies to it. However its height within the viable and optimal range is important, just not as relevant
Before we move on to our Information Tables we want to take a second just to discuss our Volume Mountains and Ice. We haven’t had a chance yet to discuss the Predictive or Confirming Volume. When it comes to our Volume Mountains + Ice, we don’t recommend having more than 1 on at a time. The reason we have included the Predictive and Confirming is in case you find they suit your Trading Style best, not necessarily to be used the same way the Price Mountains and Ice are. The main reason for this is due to the fact that the Volume Mountains are much smaller and when overlaid on top of each other can make a confusing blur that is hard to decipher.
In this example above we have enabled both Predictive and Regular Volume just so you can understand what we are talking about. The two together can be rather confusing and actually interfere with your decision making process. For this reason, we highly recommend finding the Volume Mountain that suits your trading style best and solely sticking to that.
Our Predictive Volume Mountains and Ice may help sense volume changes before they’ve even happened. This can be very useful if your Trading Style revolves around heavy volume changes.
Our Confirming Volume Mountains and Ice are much slower and smaller, but they help show the movement of volume that has occurred already. This can be used to help see the movement of volume without fearing it may or may not happen.
Our Information Tables are there to show you valuable information on whether it is in a state of Support Cross or Blood Diamond on 6 different Time Frames at the same time. The % it shows you displays how much of a price change has occurred since that signal has happened. It is important to note, if for instance you see it is in a state of Support Cross but the % is negative, this generally means it is going to switch to Blood Diamond soon and vice versa. Therefore if you are in a trade, especially on a lower Time Frame and you are watching the 1 Day or a higher Time Frame and notice that the % is getting less and less, it may be a good time to get out.
We will conclude our Tutorial here. If you have any Questions, Concerns, Suggestions or Comments please don’t hesitate to contact us.
Settings:
1. Show Predictive to Confirmed Trendline:
The Predictive to Confirmed Trendline is very useful for seeing when the predictive (Support Cross or Blood Diamond) has hit the confirmed (It’s a strong confirmation that the trend may be shifting). This trendline also features a Moving Average which helps give you a solid marker for when the Regular / Predictive mountains cross under or over it that a momentum swing may occur. Somewhat like when the RSI crosses above/below its Moving Average it dictates momentum change, that is likewise how to interpret when it happens with the mountains and this trendline.
2. Show Price Ice and Mountains based on:
The Price Ice and Mountains are very important when it comes to deciphering signal strength. For example, When the mountains are very low (regular and predictive) and are between the 2 red line (undervalued) or even possibly below the bottom red line, and the Ice on the mountains starts to curve into the mountains and then the Predictive and Regular Support Cross occur; this is a very strong Bullish Signal. But wait, that's not all, the cherry on top is when the volume mountain (black) is ALSO high while this occurs; the Volume Mountain adds Strength to the signal. When the volume mountain is high too during this ‘Perfect Combo’ this may potentially lead to very bullish price movement occurring soon. Here is an overview of each mountain:
2.1. Predictive: Are the least reliable, but they move first and nothing will move without the predictive moving first, and getting you ready.
2.2. Regular: Are the most accurate, they don't signify strength on its own, but they sure show some momentum.
2.3. Confirming: Are slightly behind when it comes to displaying data, and therefore shouldn't be used for entry / exit, but rather to show if the trend movement has truly been confirmed or not.
When the Ice starts to curve into the Mountain, (either upward or below) it signifies possible momentum change. There are Crosses (Bull), and Diamonds (Bear) to show when they've crossed. Cross' and Diamonds balance each other out and therefore there can never be more than 1 in a row (of the same type). When the Ice and Mountain size is very large (between 40 and 70), and the predictive Ice starts to curve into its mountain, and then the predictive curves into the Regular, and the Regular Ice is curving into its Mountain, then it may have some strong weight behind that signal. IMPORTANT: refer to Volume tooltip below for how to increase the signal strength even more.
3. Show Volume Ice and Mountains based on:
The Volume Ice and Mountains are for giving strength to the Price's signals and Size. When there is the perfect combo (described above) AND the Volume Ice + Mountain is high, then there may be a lot of strength to that Price signals (whether it is Cross (Bull), or Diamond (Bear)).
IMPORTANT: High volume mountains, unlike Price, don't mean good or bad. Volume shows strength to the Price, and therefore if there are high Volume mountains during a Diamond (Bearish), then there may be a lot of strength to that signal and vice versa.
4. Show Information Tables:
Information tables are used to display 6 different Time Frames and whether or not each time frame is in a state of Blood Diamond (red) or Support Cross (green). They also show how much % in price has changed since the current signal happened. These are very useful for seeing how the price is fairing on different Time Frames without having to constantly change your timeframe. For instance, maybe you base your entry off the 1 day time frame but then you swing trade on the 15 minute. Well, after you’ve confirmed your entry position and are sitting on the 15 minute, you can stay on the 15 minute and see how it is fairing on the 1 day, 5 minute or whatever time frame you choose. This way you aren’t distracted from the trade at hand. All of these Time Frames can be adjusted in the Settings (GUI) to whatever resolution you wish.
5. Res1 / Res2/ Res3 / Res4 / Res5 / Res6:
These represent the different resolutions (Time Frames) being used in your information tables and can be modified to display whatever resolution works best for your trading style. By default they are:
Res1: Current Timeframe
Res2: 15 Minute
Res3: 1 Hour
Res4: 4 Hour
Res5: 1 Day
Res6: 1 Week
Backup Res (not changeable): 5 Minute (this is only used if your Current Timeframe in Res1 is a duplicate of one of the other resolutions)
HAPPY TRADING!
Order Flow RegisterOrder flow register is a tool showing history of transactions done recently. It analyze volume and price data to estimate how many "bid" and "ask" transaction was done on the market.
Typically bid transactions are done by active sellers (with passive buyers) and ask by active buyers (with passive sellers).
The advantage of ask transactions shows the emotions of buyers who are willing to pay more to buy.
The advantage of bid transactions shows the emotions of sellers who are willing to sell cheaper to exit the position.
This tool requires frequently updated real-time data to function efficiently.
Warning !
TradingView has a data delay feature on many exchanges (10-30 minutes) and real-time data are extra paid in that case. Missing real-time data source will limit the functionality of the script to educational purposes only.
User Interface:
In the table placed in the right-top corner you can find transaction data in 3 columns. First with bid transaction volume, second with price and third with ask transaction volume.
Value shown between "Ask" and "Bid" labels is showing price change done with last transaction (usefull when agregate option is on).
If agregate option is on:
- Addition row with last registered transaction is shown over labels(row with "Big" and "Ask" label).
- Price label of active row (first below the labels) has changing background color linearly between ask and bid value depending in which part of agregated price slot current price is.
Script settings:
Agregate - Option to agregate transactions into areas of some height
FieldHeight = 10^ - Area height on the chart:
0 - 1$
1 = 10$
2 = 100$
3 = 1000$
-1 = 0.1$
-2 = 0.01$
-3 = 0.001$
Troubleshooting:
In case of any problems, please send error details to the author of the script.
Equity Bond Currency DashboardDepicts demand-flow between Equities, Bonds and Currencies of 6 countries. Useful in tracking the flow of smart money and checking the dynamics of inter-connected markets.
Principle:
DXY lies at the heart of the diagram with usd-currency pairs of 5 countries connected to it. When demand for a currency increases it strengthens against Dollar. This is depicted by a line from DXY to the currency indicating demand flow from Dollar to the currency (DXY is only an indicative symbol for Dollar, the currency may not be part of the dollar index). Similarly when Dollar strengthens against the currency, demand flow is depicted by a line from the currency to DXY. Currency blocks are connected to Equity and Bond Yields of the respective countries. Equities and Bonds, when bought, takes the demand from the respective currencies and vice versa.
Overall, the demand flows in the direction of arrows. The flow is incomplete without commodities, import/export, interest/inflation rates of countries, however, the diagram most of the times explains why an asset class is performing the way it is.
Left side bar of each block is very similar to OHLC candles except for the following -
Instead of wicks, top and bottom of the bar represents high and low for the selected time-frame
Open and close are normalised for high and low
Bar border is red if close < prev.close, green if close >= prev.close
Other notes:
The diagram requires at least 200 bars in the chart to render. Please select the symbol and time-frame that contain at least 200 bars.
The diagram requires a live market to render the flow. To check flows on historical bars, set the option from settings.
Desired indices could be selected for countries of choice. Default settings point to futures wherever possible to have the markets live simultaneously across the countries.
UFO + Realtime Divergences (UO x MFI)UFO + Realtime Divergences (UO x MFI) + Alerts
The UFO is a hybrid of two powerful oscillators - the Ultimate Oscillator (UO) and the Money Flow Index (MFI)
Features of the UFO include:
- Optional divergence lines drawn directly onto the oscillator in realtime.
- Configurable alerts to notify you when divergences occur, as well as centerline crossovers.
- Configurable lookback periods to fine tune the divergences drawn in order to suit different trading styles and timeframes.
- Background colouring option to indicate when the oscillator has crossed its centerline.
- Alternate timeframe feature allows you to configure the oscillator to use data from a different timeframe than the chart it is loaded on.
- 2x MTF triple-timeframe Stochastic RSI overbought and oversold confluence signals painted at the top of the panel for use as a confluence for reversal entry trades.
The core calculations of the UFO+ combine the factory settings of the Ultimate Oscillator and Money Flow Index, taking an average of their combined values for its output eg:
UO_Value + MFI_Value / 2
The result is a powerful oscillator capable of detecting high quality divergences, including on very low timeframes and highly volatile markets, it benefits from the higher weighting of the most recent price action provided by the Ultimate Oscillators calculations, as well as the calculation of the MFI, which incorporates volume data. The UFO and its incorporated 2x triple-timeframe MTF Stoch RSI overbought and oversold signals makes it well adapted for low timeframe scalping and regular divergence trades in particular.
The Ultimate Oscillator (UO)
Tradingview describes the Ultimate Oscillator as follows:
“The Ultimate Oscillator indicator (UO) is a technical analysis tool used to measure momentum across three varying timeframes. The problem with many momentum oscillators is that after a rapid advance or decline in price, they can form false divergence trading signals. For example, after a rapid rise in price, a bearish divergence signal may present itself, however price continues to rise. The Ultimate Oscillator attempts to correct this by using multiple timeframes in its calculation as opposed to just one timeframe which is what is used in most other momentum oscillators.”
You can read more about the UO and its calculations here
The Money Flow Index ( MFI )
Investopedia describes the True Strength Indicator as follows:
“The Money Flow Index ( MFI ) is a technical oscillator that uses price and volume data for identifying overbought or oversold signals in an asset. It can also be used to spot divergences which warn of a trend change in price. The oscillator moves between 0 and 100. Unlike conventional oscillators such as the Relative Strength Index ( RSI ), the Money Flow Index incorporates both price and volume data, as opposed to just price. For this reason, some analysts call MFI the volume-weighted RSI .”
You can read more about the MFI and its calculations here
The Stochastic RSI (relating to the built-in MTF Stoch RSI feature)
The popular oscillator has been described as follows:
“The Stochastic RSI is an indicator used in technical analysis that ranges between zero and one (or zero and 100 on some charting platforms) and is created by applying the Stochastic oscillator formula to a set of relative strength index ( RSI ) values rather than to standard price data. Using RSI values within the Stochastic formula gives traders an idea of whether the current RSI value is overbought or oversold. The Stochastic RSI oscillator was developed to take advantage of both momentum indicators in order to create a more sensitive indicator that is attuned to a specific security's historical performance rather than a generalized analysis of price change.”
You can read more about the Stochastic RSI and its calculations here
How do traders use overbought and oversold levels in their trading?
The oversold level, that is when the Stochastic RSI is above the 80 level is typically interpreted as being 'overbought', and below the 20 level is typically considered 'oversold'. Traders will often use the Stochastic RSI at an overbought level as a confluence for entry into a short position, and the Stochastic RSI at an oversold level as a confluence for an entry into a long position. These levels do not mean that price will necessarily reverse at those levels in a reliable way, however. This is why this version of the Stoch RSI employs the triple timeframe overbought and oversold confluence, in an attempt to add a more confluence and reliability to this usage of the Stoch RSI .
What are divergences?
Divergence is when the price of an asset is moving in the opposite direction of a technical indicator, such as an oscillator, or is moving contrary to other data. Divergence warns that the current price trend may be weakening, and in some cases may lead to the price changing direction.
There are 4 main types of divergence, which are split into 2 categories;
regular divergences and hidden divergences. Regular divergences indicate possible trend reversals, and hidden divergences indicate possible trend continuation.
Regular bullish divergence: An indication of a potential trend reversal, from the current downtrend, to an uptrend.
Regular bearish divergence: An indication of a potential trend reversal, from the current uptrend, to a downtrend.
Hidden bullish divergence: An indication of a potential uptrend continuation.
Hidden bearish divergence: An indication of a potential downtrend continuation.
How do traders use divergences in their trading?
A divergence is considered a leading indicator in technical analysis , meaning it has the ability to indicate a potential price move in the short term future.
Hidden bullish and hidden bearish divergences, which indicate a potential continuation of the current trend are sometimes considered a good place for traders to begin, since trend continuation occurs more frequently than reversals, or trend changes.
When trading regular bullish divergences and regular bearish divergences, which are indications of a trend reversal, the probability of it doing so may increase when these occur at a strong support or resistance level . A common mistake new traders make is to get into a regular divergence trade too early, assuming it will immediately reverse, but these can continue to form for some time before the trend eventually changes, by using forms of support or resistance as an added confluence, such as when price reaches a moving average, the success rate when trading these patterns may increase.
Typically, traders will manually draw lines across the swing highs and swing lows of both the price chart and the oscillator to see whether they appear to present a divergence, this indicator will draw them for you, quickly and clearly, and can notify you when they occur.
Setting alerts.
With this indicator you can set alerts to notify you when any/all of the above types of divergences occur, on any chart timeframe you choose.
Configurable pivot period.
You can adjust the default pivot lookback values to suit your prefered trading style and timeframe. If you like to trade a shorter time frame, lowering the default lookback values will make the divergences drawn more sensitive to short term price action.
Disclaimer: This script includes code from the stock UO and MFI by Tradingview as well as the Divergence for Many Indicators v4 by LonesomeTheBlue.
