Penny Stock Short Signal Pro# Penny Stock Short Signal Pro (PSSP) v1.0
## Complete User Guide & Documentation
---
# 📋 TABLE OF CONTENTS
1. (#introduction)
2. (#why-short-penny-stocks)
3. (#the-7-core-detection-systems)
4. (#installation--setup)
5. (#understanding-the-dashboard)
6. (#input-settings-deep-dive)
7. (#visual-elements-explained)
8. (#alert-configuration)
9. (#trading-strategies)
10. (#risk-management)
11. (#best-practices)
12. (#troubleshooting)
13. (#changelog)
---
# Introduction
**Penny Stock Short Signal Pro (PSSP)** is a comprehensive Pine Script v6 indicator specifically engineered for identifying high-probability short-selling opportunities on low-priced, high-volatility stocks. Unlike generic indicators that apply broad technical analysis, PSSP is purpose-built for the unique characteristics of penny stock price action—where parabolic moves, retail FOMO, and violent reversals create predictable patterns for prepared traders.
## Key Features
- **7 Independent Detection Systems** working in concert to identify exhaustion points
- **Composite Signal Engine** that requires multiple confirmations before triggering
- **Real-Time Dashboard** displaying all signal states and market metrics
- **Automatic Risk Management** with dynamic stop-loss and profit target calculations
- **Customizable Sensitivity** for different trading styles (scalping vs. swing)
- **Built-in Alert System** for all major signal types
## Who Is This For?
- **Active Day Traders** looking to capitalize on intraday reversals
- **Short Sellers** who specialize in penny stocks and small caps
- **Momentum Traders** who want to identify when momentum is exhausting
- **Risk-Conscious Traders** who need clear entry/exit levels
---
# Why Short Penny Stocks?
## The Penny Stock Lifecycle
Penny stocks follow a remarkably predictable lifecycle that creates shorting opportunities:
```
PHASE 1: ACCUMULATION
└── Low volume, tight range
└── Smart money quietly building positions
PHASE 2: MARKUP / PROMOTION
└── News catalyst or promotional campaign
└── Volume increases, price begins rising
└── Early momentum traders enter
PHASE 3: DISTRIBUTION (YOUR OPPORTUNITY)
└── Parabolic move attracts retail FOMO buyers
└── Smart money selling into strength
└── Volume climax signals exhaustion
└── ⚠️ PSSP SIGNALS FIRE HERE ⚠️
PHASE 4: DECLINE
└── Support breaks, panic selling
└── Price returns toward origin
└── Short sellers profit
```
## Why Shorts Work on Penny Stocks
1. **No Fundamental Support**: Most penny stocks have no earnings, revenue, or assets to justify elevated prices
2. **Promotional Nature**: Many rallies are driven by promoters who will eventually stop
3. **Retail Exhaustion**: Retail buying power is finite—when it's exhausted, gravity takes over
4. **Float Dynamics**: Low float stocks move fast in both directions
5. **Technical Levels Matter**: VWAP, round numbers, and prior highs become self-fulfilling resistance
---
# The 7 Core Detection Systems
PSSP employs seven independent detection algorithms. Each identifies a specific type of exhaustion or reversal signal. When multiple systems fire simultaneously, the probability of a successful short dramatically increases.
---
## 1. PARABOLIC EXHAUSTION DETECTOR
### What It Detects
Identifies when price has moved too far, too fast and is likely to reverse. This system looks for the classic "blow-off top" pattern common in penny stock runners.
### Technical Logic
```
Parabolic Signal = TRUE when:
├── Consecutive green candles ≥ threshold (default: 3)
├── AND price extension from VWAP ≥ threshold ATRs (default: 1.5)
└── OR shooting star / upper wick rejection pattern forms
```
### Visual Representation
```
╱╲ ← Shooting star / upper wick
╱ ╲ (Parabolic exhaustion)
╱
╱
╱
══════════════ VWAP
╱
╱
```
### Why It Works on Penny Stocks
Penny stocks are notorious for parabolic moves driven by retail FOMO. When everyone who wants to buy has bought, there's no one left to push prices higher. The shooting star pattern shows that sellers are already stepping in at higher prices.
### Key Settings
| Parameter | Default | Range | Description |
|-----------|---------|-------|-------------|
| Lookback Period | 10 | 3-30 | Bars to analyze for pattern |
| Extension Threshold | 1.5 ATR | 0.5-5.0 | How far above VWAP is "parabolic" |
| Consecutive Green Bars | 3 | 2-10 | Minimum green bars for exhaustion |
---
## 2. VWAP REJECTION SYSTEM
### What It Detects
Volume Weighted Average Price (VWAP) is the single most important level for institutional traders. This system identifies when price tests above VWAP and gets rejected back below—a powerful short signal.
### Technical Logic
```
VWAP Rejection = TRUE when:
├── Candle high pierces above VWAP
├── AND candle closes below VWAP
├── AND candle is bearish (close < open)
└── AND rejection distance is within sensitivity threshold
```
### Visual Representation
```
High ──→ ╱╲
╱ ╲
VWAP ════════╱════╲═══════════
Close ←── Rejection
```
### Extended VWAP Signals
The system also tracks VWAP standard deviation bands. Rejection from the upper band (2 standard deviations above VWAP) is an even stronger signal.
### Why It Works on Penny Stocks
- Algorithms and institutions use VWAP as their benchmark
- Failed attempts to reclaim VWAP often lead to waterfall selling
- VWAP acts as a "magnet" that price tends to revert toward
### Key Settings
| Parameter | Default | Range | Description |
|-----------|---------|-------|-------------|
| Rejection Sensitivity | 0.5 ATR | 0.1-2.0 | How close to VWAP for valid rejection |
| Show VWAP Line | True | - | Display VWAP on chart |
| Show VWAP Bands | True | - | Display standard deviation bands |
| Band Multiplier | 2.0 | 0.5-4.0 | Standard deviations for bands |
---
## 3. VOLUME CLIMAX DETECTOR
### What It Detects
Identifies "blow-off tops" where extreme volume accompanies a price spike. This often marks the exact top as it represents maximum retail participation—after which buying power is exhausted.
### Technical Logic
```
Volume Climax = TRUE when:
├── Current volume ≥ (Average volume × Climax Multiple)
├── AND one of:
│ ├── Selling into the high (upper wick > lower wick on green bar)
│ └── OR post-climax weakness (red bar following climax bar)
```
### Visual Representation
```
Price: ╱╲
╱ ╲
╱ ╲
╱ ╲
╱
Volume:
▂▃▅▇██▇▅▃▂▁
↑
Volume Climax (3x+ average)
```
### Why It Works on Penny Stocks
- Retail traders pile in at the top, creating volume spikes
- Market makers and smart money use this liquidity to exit
- Once the volume spike passes, there's no fuel left for higher prices
- The "smart money selling into dumb money buying" creates the top
### Key Settings
| Parameter | Default | Range | Description |
|-----------|---------|-------|-------------|
| Volume MA Length | 20 | 5-50 | Period for average volume calculation |
| Climax Volume Multiple | 3.0x | 1.5-10.0 | Multiple of average for "climax" |
| Show Volume Bars | True | - | Visual volume representation |
---
## 4. RSI DIVERGENCE ANALYZER
### What It Detects
Bearish divergence occurs when price makes higher highs but RSI (momentum) makes lower highs. This indicates that momentum is weakening even as price pushes higher—a warning of imminent reversal.
### Technical Logic
```
Bearish Divergence = TRUE when:
├── RSI is in overbought territory (> threshold)
├── AND RSI is declining (current < previous < prior)
└── Indicates momentum exhaustion before price catches up
```
### Visual Representation
```
Price: /\ /\
/ \ / \ ← Higher high
/ \/
/
/
RSI: /\
/ \ /\
/ \/ \ ← Lower high (DIVERGENCE)
/ \
════════════════════ Overbought (70)
```
### Why It Works on Penny Stocks
- Penny stocks often push to new highs on weaker and weaker momentum
- Divergence signals that fewer buyers are participating at each new high
- Eventually, the lack of buying pressure leads to collapse
### Key Settings
| Parameter | Default | Range | Description |
|-----------|---------|-------|-------------|
| RSI Length | 14 | 5-30 | Standard RSI calculation period |
| Overbought Level | 70 | 60-90 | RSI level considered overbought |
| Divergence Lookback | 14 | 5-30 | Bars to look back for swing highs |
---
## 5. KEY LEVEL REJECTION TRACKER
### What It Detects
Identifies rejections from significant price levels where shorts are likely to be concentrated: High of Day (HOD), premarket highs, and psychological levels (whole and half dollars).
### Technical Logic
```
Level Rejection = TRUE when:
├── Price touches key level (within 0.2% tolerance)
├── AND candle is bearish (close < open)
├── AND close is in lower portion of candle range
│
├── Key Levels Tracked:
│ ├── High of Day (HOD)
│ ├── Premarket High
│ └── Psychological levels ($1.00, $1.50, $2.00, etc.)
```
### Visual Representation
```
HOD ─────────────────────────────────
╱╲ ← Rejection
╱ ╲
╱ ╲
╱
─────────────────────────────────
PM High ─────────────────────────────
```
### Why It Works on Penny Stocks
- **HOD**: The high of day is where the most traders are trapped long. Failure to break HOD often triggers stop-loss cascades
- **Premarket High**: Represents overnight enthusiasm; failure to exceed often means the "news" is priced in
- **Psychological Levels**: Round numbers ($1, $2, $5) attract orders and act as natural resistance
### Key Settings
| Parameter | Default | Range | Description |
|-----------|---------|-------|-------------|
| Track HOD Rejection | True | - | Monitor high of day |
| Track Premarket High | True | - | Monitor premarket resistance |
| Track Psychological Levels | True | - | Monitor round numbers |
---
## 6. FAILED BREAKOUT DETECTOR
### What It Detects
Identifies "bull traps" where price breaks above resistance but immediately fails and closes back below. This traps breakout buyers and often leads to accelerated selling.
### Technical Logic
```
Failed Breakout = TRUE when:
├── Price breaks above recent high (lookback period)
├── AND one of:
│ ├── Same bar closes below the breakout level
│ └── OR following bars show consecutive red candles
```
### Visual Representation
```
╱╲
╱ ╲ ← False breakout
Recent High ══╱════╲════════════════
╱ ╲
╱ ╲
╱ ╲ ← Trapped longs panic sell
```
### Why It Works on Penny Stocks
- Breakout traders enter on the break, providing exit liquidity for smart money
- When the breakout fails, these traders become trapped and must exit
- Their forced selling accelerates the decline
- Penny stocks have thin order books, making failed breakouts especially violent
### Key Settings
| Parameter | Default | Range | Description |
|-----------|---------|-------|-------------|
| Breakout Lookback | 5 | 2-15 | Bars to define "recent high" |
| Confirmation Bars | 2 | 1-5 | Bars to confirm failure |
---
## 7. MOVING AVERAGE BREAKDOWN SYSTEM
### What It Detects
Monitors exponential moving averages (EMAs) for bearish crossovers and price rejections. EMA crosses often signal trend changes, while rejections from EMAs indicate resistance.
### Technical Logic
```
MA Breakdown = TRUE when:
├── Bearish EMA cross (fast crosses below slow)
└── OR EMA rejection (price tests EMA from below and fails)
```
### Visual Representation
```
╱╲ ← Rejection from EMA
╱ ╲
EMA 9 ═══════════╱════╲═══════════
╲
EMA 20 ═══════════════════╲════════
╲
Bearish cross ↓
```
### Why It Works on Penny Stocks
- EMAs smooth out the noise and show underlying trend direction
- When fast EMA crosses below slow EMA, it signals momentum shift
- Rejected attempts to reclaim EMAs show sellers are in control
### Key Settings
| Parameter | Default | Range | Description |
|-----------|---------|-------|-------------|
| Fast EMA | 9 | 3-20 | Short-term trend |
| Slow EMA | 20 | 10-50 | Medium-term trend |
| Show EMAs | True | - | Display on chart |
---
# Installation & Setup
## Step 1: Access Pine Editor
1. Open TradingView (tradingview.com)
2. Open any chart
3. Click "Pine Editor" at the bottom of the screen
## Step 2: Create New Indicator
1. Click "Open" → "New blank indicator"
2. Delete any existing code
3. Paste the entire PSSP code
## Step 3: Save and Add to Chart
1. Click "Save" (give it a name like "PSSP")
2. Click "Add to chart"
3. The indicator will appear with default settings
## Step 4: Configure Settings
1. Click the gear icon (⚙️) on the indicator
2. Adjust settings based on your trading style (see Settings section)
3. Click "OK" to apply
## Recommended Chart Setup
- **Timeframe**: 1-minute or 5-minute for scalping, 15-minute for swing shorts
- **Chart Type**: Candlestick
- **Extended Hours**: Enable if trading premarket/afterhours
- **Volume**: Can disable default volume since PSSP tracks it
---
# Understanding the Dashboard
The real-time dashboard provides at-a-glance status of all systems:
```
┌─────────────────────────────────────────┐
│ 📊 SHORT SIGNAL DASHBOARD │
├─────────────────────────────────────────┤
│ Signal Strength: 5/7 │
├─────────────────────────────────────────┤
│ ─── ACTIVE SIGNALS ─── │
│ │
│ Parabolic Exhaustion 🔴 2.1 ATR │
│ VWAP Rejection 🔴 Above │
│ Volume Climax 🔴 4.2x Avg │
│ RSI Divergence ⚪ RSI: 68 │
│ Level Rejection 🔴 @ HOD │
│ Failed Breakout 🔴 │
│ MA Breakdown ⚪ Bullish │
├─────────────────────────────────────────┤
│ ─── RISK LEVELS ─── │
│ Stop: $2.45 T1: $2.10 T2: $1.85 │
└─────────────────────────────────────────┘
```
## Dashboard Elements Explained
### Signal Strength Indicator
| Rating | Signals | Color | Interpretation |
|--------|---------|-------|----------------|
| STRONG | 5-7 | Red | High-confidence short opportunity |
| MODERATE | 3-4 | Orange | Decent setup, consider other factors |
| WEAK | 1-2 | Gray | Insufficient confirmation |
| NONE | 0 | Gray | No short signals active |
### Signal Status Icons
- 🔴 = Signal is ACTIVE (condition met)
- ⚪ = Signal is INACTIVE (condition not met)
### Contextual Metrics
Each signal row includes relevant metrics:
- **Parabolic**: Shows ATR extension from VWAP
- **VWAP**: Shows if price is Above/Below VWAP
- **Volume**: Shows current volume as multiple of average
- **RSI**: Shows current RSI value
- **Level**: Shows which level was touched (HOD, PM High, etc.)
- **MA**: Shows EMA relationship (Bullish/Bearish)
### Risk Levels
When a composite short signal fires:
- **Stop**: Suggested stop-loss level (high + ATR multiple)
- **T1**: First profit target (1:1 risk/reward)
- **T2**: Second profit target (user-defined R:R)
---
# Input Settings Deep Dive
## Group 1: Parabolic Exhaustion
| Setting | Default | Conservative | Aggressive | Description |
|---------|---------|--------------|------------|-------------|
| Enable | True | True | True | Turn system on/off |
| Lookback Period | 10 | 15 | 5 | Bars analyzed for pattern |
| Extension Threshold | 1.5 | 2.0 | 1.0 | ATRs above VWAP for "parabolic" |
| Consecutive Green Bars | 3 | 4 | 2 | Minimum green bars required |
**Tuning Tips:**
- Lower thresholds = more signals but more false positives
- Higher thresholds = fewer signals but higher quality
- For very volatile penny stocks, consider higher thresholds
## Group 2: VWAP Rejection
| Setting | Default | Conservative | Aggressive | Description |
|---------|---------|--------------|------------|-------------|
| Enable | True | True | True | Turn system on/off |
| Rejection Sensitivity | 0.5 | 0.3 | 0.8 | ATR distance for valid rejection |
| Show VWAP Line | True | True | True | Display VWAP |
| Show VWAP Bands | True | True | True | Display deviation bands |
| Band Multiplier | 2.0 | 2.5 | 1.5 | Standard deviations for bands |
**Tuning Tips:**
- Tighter sensitivity (lower number) = must reject very close to VWAP
- Wider bands = less frequent upper band rejections but more significant
## Group 3: Volume Climax
| Setting | Default | Conservative | Aggressive | Description |
|---------|---------|--------------|------------|-------------|
| Enable | True | True | True | Turn system on/off |
| Volume MA Length | 20 | 30 | 10 | Baseline volume period |
| Climax Volume Multiple | 3.0 | 4.0 | 2.0 | Multiple for "climax" status |
| Show Volume Profile | True | True | True | Visual volume bars |
**Tuning Tips:**
- Higher multiple = only extreme volume spikes trigger
- Shorter MA = more responsive to recent volume changes
- For highly liquid stocks, consider higher multiples
## Group 4: Momentum Divergence
| Setting | Default | Conservative | Aggressive | Description |
|---------|---------|--------------|------------|-------------|
| Enable | True | True | True | Turn system on/off |
| RSI Length | 14 | 21 | 7 | RSI calculation period |
| Overbought Level | 70 | 75 | 65 | Threshold for "overbought" |
| Divergence Lookback | 14 | 20 | 10 | Bars for swing high detection |
**Tuning Tips:**
- Lower overbought threshold = more frequent signals
- Shorter RSI length = more responsive but noisier
## Group 5: Key Level Rejection
| Setting | Default | Description |
|---------|---------|-------------|
| Enable | True | Master toggle for level system |
| Track Premarket High | True | Monitor premarket resistance |
| Track HOD Rejection | True | Monitor high of day |
| Track Psychological Levels | True | Monitor round numbers |
**Tuning Tips:**
- Disable premarket tracking if stock doesn't have significant premarket activity
- Psychological levels work best on stocks under $10
## Group 6: Failed Follow-Through
| Setting | Default | Conservative | Aggressive | Description |
|---------|---------|--------------|------------|-------------|
| Enable | True | True | True | Turn system on/off |
| Breakout Lookback | 5 | 8 | 3 | Bars defining "recent high" |
| Confirmation Bars | 2 | 3 | 1 | Bars to confirm failure |
**Tuning Tips:**
- Shorter lookback = more breakouts detected but smaller significance
- More confirmation bars = higher confidence but later entry
## Group 7: Moving Average Signals
| Setting | Default | Conservative | Aggressive | Description |
|---------|---------|--------------|------------|-------------|
| Enable | True | True | True | Turn system on/off |
| Fast EMA | 9 | 12 | 5 | Short-term trend |
| Slow EMA | 20 | 26 | 13 | Medium-term trend |
| Show EMAs | True | True | True | Display on chart |
**Tuning Tips:**
- Standard 9/20 works well for most penny stocks
- Faster EMAs (5/13) for scalping, slower (12/26) for swing trading
## Group 8: Composite Signal
| Setting | Default | Conservative | Aggressive | Description |
|---------|---------|--------------|------------|-------------|
| Minimum Signals | 3 | 4-5 | 2 | Signals needed for trigger |
| Show Dashboard | True | True | True | Display signal table |
| Dashboard Position | top_right | - | - | Screen location |
**Tuning Tips:**
- **Minimum Signals is the most important setting**
- Higher minimum = fewer trades but higher win rate
- Lower minimum = more trades but more false signals
## Group 9: Risk Management
| Setting | Default | Conservative | Aggressive | Description |
|---------|---------|--------------|------------|-------------|
| Show Stop Levels | True | True | True | Display stop loss |
| Stop ATR Multiple | 1.5 | 2.0 | 1.0 | Stop distance in ATRs |
| Show Targets | True | True | True | Display profit targets |
| Target R:R | 2.0 | 1.5 | 3.0 | Risk:Reward for Target 2 |
**Tuning Tips:**
- Tighter stops (lower ATR multiple) = less risk but more stop-outs
- Higher R:R targets = bigger winners but fewer targets hit
## Group 10: Visual Settings
| Setting | Default | Description |
|---------|---------|-------------|
| Bullish Color | Green | Color for bullish elements |
| Bearish Color | Red | Color for bearish/short signals |
| Warning Color | Orange | Color for caution signals |
| Neutral Color | Gray | Color for inactive elements |
---
# Visual Elements Explained
## Chart Overlays
### VWAP Line (Blue)
- **Solid blue line** = Volume Weighted Average Price
- Price above VWAP = bullish bias
- Price below VWAP = bearish bias
- **Use**: Short when price rejects from above VWAP
### VWAP Bands (Purple circles)
- Upper band = 2 standard deviations above VWAP
- Lower band = 2 standard deviations below VWAP
- **Use**: Extreme extension to upper band signals potential reversal
### EMAs (Orange and Red)
- **Orange line** = Fast EMA (9-period default)
- **Red line** = Slow EMA (20-period default)
- **Use**: Bearish cross or price rejection from EMAs confirms short
### HOD Line (Red, dashed)
- Shows the current day's high
- **Use**: Rejection from HOD is a key short signal
### Premarket High (Orange, dashed)
- Shows premarket session high
- **Use**: Failure to break PM high often signals weakness
## Signal Markers
### Individual Signal Markers (Small)
| Shape | Color | Signal |
|-------|-------|--------|
| ▼ Triangle | Purple | Parabolic Exhaustion |
| ✕ X-Cross | Blue | VWAP Rejection |
| ◆ Diamond | Yellow | Volume Climax |
| ● Circle | Orange | RSI Divergence |
| ■ Square | Red | Failed Breakout |
### Composite Short Signal (Large)
- **Large red triangle** with "SHORT" text
- Only appears when minimum signal threshold is met
- This is your primary trading signal
## Risk Level Lines
### Stop Loss (Red line)
- Calculated as: Entry + (ATR × Stop Multiple)
- Represents maximum acceptable loss
- **RESPECT THIS LEVEL**
### Target 1 (Light green line)
- First profit target at 1:1 risk/reward
- Consider taking partial profits here
### Target 2 (Dark green line)
- Second profit target at user-defined R:R
- Let winners run to this level
## Background Coloring
### Light Red Background
- Appears when composite short signal is active
- Indicates you should be looking for shorts, not longs
### Light Purple Background
- Appears during extreme parabolic extension
- Warning of potential imminent reversal
---
# Alert Configuration
## Available Alerts
### 1. Composite Short Signal
**Best for**: Primary trading signal
```
Condition: Composite short signal fires
Message: "PSSP: Short Signal Triggered - {ticker} at {close}"
```
### 2. Parabolic Exhaustion
**Best for**: Early warning of potential top
```
Condition: Parabolic exhaustion detected
Message: "PSSP: Parabolic exhaustion detected on {ticker}"
```
### 3. Volume Climax
**Best for**: Blow-off top identification
```
Condition: Volume climax occurs
Message: "PSSP: Volume climax / blow-off top on {ticker}"
```
### 4. Strong Short Setup (5+ Signals)
**Best for**: High-confidence opportunities only
```
Condition: 5 or more signals active
Message: "PSSP: STRONG short setup on {ticker}"
```
### 5. Very Strong Short Setup (6+ Signals)
**Best for**: Maximum confidence trades
```
Condition: 6 or more signals active
Message: "PSSP: VERY STRONG short setup on {ticker}"
```
### 6. Failed Breakout
**Best for**: Bull trap identification
```
Condition: Failed breakout detected
Message: "PSSP: Failed breakout detected on {ticker}"
```
### 7. Key Level Rejection
**Best for**: Resistance level plays
```
Condition: Key level rejection occurs
Message: "PSSP: Key level rejection on {ticker}"
```
## Setting Up Alerts in TradingView
1. Right-click on the chart
2. Select "Add Alert"
3. Set Condition to "Penny Stock Short Signal Pro"
4. Choose your desired alert condition
5. Configure notification method (popup, email, webhook, etc.)
6. Set expiration (or "Open-ended" for permanent)
7. Click "Create"
## Alert Strategy Recommendations
### For Active Day Traders
- Enable: Composite Short Signal, Volume Climax
- Set to: Popup + Sound
- Check frequently during market hours
### For Swing Traders
- Enable: Strong Short Setup (5+), Very Strong Short Setup (6+)
- Set to: Email + Mobile Push
- Review at key times (open, lunch, close)
### For Part-Time Traders
- Enable: Very Strong Short Setup (6+) only
- Set to: Email + SMS
- Only trade highest-conviction setups
---
# Trading Strategies
## Strategy 1: The Parabolic Fade
**Setup Requirements:**
- Parabolic Exhaustion signal ACTIVE
- Extension from VWAP ≥ 2.0 ATR
- Volume climax or declining volume on push
**Entry:**
- Short on first red candle after signal
- Or short on break below prior candle's low
**Stop Loss:**
- Above the high of the parabolic move
- Maximum: 1.5 ATR above entry
**Targets:**
- T1: VWAP (take 50% off)
- T2: Lower VWAP band or LOD
**Best Time:** 9:30-10:30 AM (morning runners)
---
## Strategy 2: VWAP Rejection Short
**Setup Requirements:**
- VWAP Rejection signal ACTIVE
- Price came from below VWAP
- Rejection candle has significant upper wick
**Entry:**
- Short on close below VWAP
- Or short on break below rejection candle low
**Stop Loss:**
- Above VWAP + 0.5 ATR
- Or above rejection candle high
**Targets:**
- T1: Lower VWAP band
- T2: Prior support or LOD
**Best Time:** Midday (11:00 AM - 2:00 PM)
---
## Strategy 3: HOD Failure Short
**Setup Requirements:**
- Level Rejection signal ACTIVE (HOD)
- Multiple tests of HOD without breakthrough
- Volume declining on each test
**Entry:**
- Short on confirmed HOD rejection
- Wait for close below the rejection candle
**Stop Loss:**
- Above HOD + 0.25 ATR (tight)
- Clear invalidation if HOD breaks
**Targets:**
- T1: VWAP
- T2: Morning support levels
**Best Time:** 10:30 AM - 12:00 PM
---
## Strategy 4: Volume Climax Fade
**Setup Requirements:**
- Volume Climax signal ACTIVE
- Volume ≥ 3x average on green candle
- Followed by bearish candle or upper wick
**Entry:**
- Short on first red candle after climax
- Or short on break below climax candle low
**Stop Loss:**
- Above climax candle high
- Give room for volatility spike
**Targets:**
- T1: 50% retracement of the run
- T2: VWAP or start of the run
**Best Time:** First hour of trading
---
## Strategy 5: The Full Composite (High Conviction)
**Setup Requirements:**
- Composite Short signal ACTIVE
- Minimum 4-5 individual signals
- Clear visual of signal markers clustering
**Entry:**
- Short immediately on composite signal
- Use market order for fast-moving stocks
**Stop Loss:**
- Use indicator's automatic stop level
- Do not deviate from system
**Targets:**
- T1: Indicator's T1 level (1:1)
- T2: Indicator's T2 level (2:1)
**Best Time:** Any time with sufficient signals
---
# Risk Management
## Position Sizing Formula
```
Position Size = (Account Risk %) / (Stop Loss %)
Example:
- Account: $25,000
- Risk per trade: 1% = $250
- Entry: $2.00
- Stop: $2.20 (10% stop)
- Position Size: $250 / 10% = $2,500 worth
- Shares: $2,500 / $2.00 = 1,250 shares
```
## Risk Rules
### The 1% Rule
Never risk more than 1% of your account on any single trade. For a $25,000 account, max risk = $250.
### The 2x Stop Rule
If your stop gets hit twice on the same stock, stop trading it for the day. The pattern isn't working.
### The Daily Loss Limit
Set a maximum daily loss (e.g., 3% of account). Stop trading if hit.
### The Size-Down Rule
After a losing trade, reduce your next position size by 50%. Rebuild after a winner.
## Short-Specific Risks
### The Short Squeeze
- Penny stocks can squeeze violently
- ALWAYS use stops
- Never "hope" a position comes back
- Size appropriately for volatility
### The Hard-to-Borrow
- Check borrow availability before trading
- High borrow fees eat into profits
- Some stocks become HTB mid-trade
### The Halt Risk
- Penny stocks can halt on volatility
- Position size for worst-case halt against you
- Halts can open significantly higher
---
# Best Practices
## DO's
✅ **Wait for multiple signals** - Single signals have lower accuracy
✅ **Trade with the trend** - Short when daily trend is down
✅ **Use the dashboard** - Check signal count before entering
✅ **Respect stops** - The indicator calculates them for a reason
✅ **Size appropriately** - Penny stocks are volatile; position small
✅ **Trade liquid stocks** - Volume ≥ 500K daily average
✅ **Know the catalyst** - Understand why the stock is moving
✅ **Take partial profits** - Secure gains at T1
✅ **Journal your trades** - Track what works and what doesn't
✅ **Time your entries** - Best shorts often come 10:30-11:30 AM
## DON'Ts
❌ **Don't short strong stocks** - If it won't go down, don't force it
❌ **Don't fight the tape** - A stock going up can keep going up
❌ **Don't average up on losers** - Adding to losing shorts is dangerous
❌ **Don't ignore the dashboard** - It exists to help you
❌ **Don't overtrade** - Quality over quantity
❌ **Don't short into news** - Wait for the reaction first
❌ **Don't trade the first 5 minutes** - Too chaotic for reliable signals
❌ **Don't hold overnight** - Penny stock gaps can destroy accounts
❌ **Don't trade without stops** - Ever.
❌ **Don't trade on tilt** - After losses, take a break
## Optimal Trading Windows
| Time (ET) | Quality | Notes |
|-----------|---------|-------|
| 9:30-9:35 | ⭐ | Too volatile, avoid |
| 9:35-10:30 | ⭐⭐⭐⭐⭐ | Best shorts, morning runners exhaust |
| 10:30-11:30 | ⭐⭐⭐⭐ | Secondary exhaustion, HOD rejections |
| 11:30-2:00 | ⭐⭐ | Midday lull, lower quality |
| 2:00-3:00 | ⭐⭐⭐ | Afternoon setups develop |
| 3:00-3:30 | ⭐⭐⭐⭐ | End of day momentum |
| 3:30-4:00 | ⭐⭐ | Closing volatility, risky |
---
# Troubleshooting
## Common Issues
### "Signals aren't appearing"
- Check that the relevant system is enabled in settings
- Ensure minimum signals threshold isn't too high
- Verify the stock has sufficient volume for calculations
### "Too many false signals"
- Increase minimum signals threshold
- Use more conservative settings (see Settings section)
- Focus on stocks with cleaner price action
### "Dashboard not showing"
- Ensure "Show Signal Dashboard" is enabled
- Check that your chart has enough space
- Try a different dashboard position
### "VWAP line is missing"
- VWAP requires intraday timeframes (1m, 5m, 15m, etc.)
- VWAP resets daily; won't show on daily+ charts
- Ensure "Show VWAP Line" is enabled
### "Stop loss seems too tight/wide"
- Adjust Stop ATR Multiple in Risk Management settings
- Lower multiple = tighter stop
- Higher multiple = wider stop
### "Alerts not triggering"
- Verify alert is set to the correct indicator
- Check that alert hasn't expired
- Ensure notification settings are configured in TradingView
## Performance Optimization
If the indicator is slow:
1. Reduce the number of visual elements shown
2. Disable unused signal systems
3. Use on fewer simultaneous charts
4. Close unused browser tabs
---
# Changelog
## Version 1.0 (Initial Release)
- 7 core detection systems implemented
- Real-time signal dashboard
- Automatic risk management calculations
- 7 alert conditions
- Full visual overlay system
- Comprehensive input settings
## Planned Features (Future Updates)
- Scanner integration for multi-stock screening
- Machine learning signal weighting
- Backtesting statistics panel
- Volume profile analysis
- Level 2 data integration (if available)
- Custom timeframe VWAP options
---
# Support & Feedback
## Reporting Issues
When reporting issues, please include:
1. TradingView username
2. Stock symbol and timeframe
3. Screenshot of the issue
4. Your indicator settings
5. Steps to reproduce
## Feature Requests
We welcome suggestions for improving PSSP. Consider:
- What specific pattern are you trying to catch?
- How would this help your trading?
- Any reference examples?
---
# Disclaimer
**IMPORTANT: This indicator is for educational and informational purposes only.**
- Past performance does not guarantee future results
- Short selling carries unlimited risk potential
- Always use proper position sizing and stop losses
- Paper trade before using real capital
- The creator assumes no liability for trading losses
- Consult a financial advisor before trading
**Trade at your own risk.**
---
*Penny Stock Short Signal Pro v1.0*
*Pine Script v6*
*© 2025*
Cerca negli script per "volume profile"
[Greeny] RTH Only Naked VPOCWhat it does
Calculates and displays daily Volume Point of Control (VPOC) levels based on RTH (Regular Trading Hours) session only. Tracks which VPOCs remain "naked" (untouched) and which have been hit - but only counts hits during RTH hours, ignoring overnight/globex touches.
Key Features
One VPOC per trading day calculated from entire RTH session volume profile
RTH-only hit detection - levels only marked as hit when touched during RTH, not overnight
Works on all timeframes - daily, hourly, or any chart timeframe
Volume-based filtering - automatically skips low-liquidity sessions (pre-front-month contract data)
Visual markers - small dash on origin bar shows where each VPOC was, even after being hit
Visual Guide
Yellow dashed line - Naked VPOC (not yet touched during RTH)
White dashed line - Hit VPOC (was touched during RTH)
Small dash on candle - POC origin marker
Settings
Display options: Toggle to show only naked POCs, customize hit/naked colors, adjust line width and style (solid/dashed/dotted), enable/disable line extension and origin markers.
RTH Session: Configure start and end time in NY timezone. Default is 9:30-16:00 (US equity market hours), which equals 15:30-22:00 Budapest time.
Advanced: Adjust volume profile resolution (default 250 bins), data source timeframe for calculations (5min recommended for daily charts), and minimum volume threshold to filter out low-liquidity sessions like pre-rollover contract data (default 10% of average).
Best For
ES/MES, NQ/MNQ futures traders
Mean reversion strategies using VPOC as support/resistance
Auction Market Theory practitioners
Anyone wanting clean RTH-only volume profile levels
Note on Contract Rollovers
When using specific contract symbols (e.g., ESH2026 instead of ES1!), the script may show many naked VPOCs from months before the contract became active. This happens because futures contracts have very low liquidity before becoming the front-month, creating unreliable VPOCs with gaps that never get hit. The volume filter helps reduce this, but you may need to increase the "Min Volume % of Average" setting or simply ignore older levels when viewing back-month data.
Vilantro SMC, Sessions, FRVP Master Algo V2.3Vilantro SMC, Sessions, FRVP Master Algo (V2.3)
Overview The Vilantro SMC Master Algo is a comprehensive institutional trading toolkit designed for Smart Money Concepts (SMC) and ICT traders. It combines Time, Price, Volume, and Structure into a single, high-performance indicator.
Instead of cluttering your chart with multiple indicators, this tool provides a "mechanical" framework to identify high-probability setups by visualizing Liquidity Sweeps, Order Blocks, Fair Value Gaps, and Session Kill Zones automatically.
Key Features
1. Advanced Session & Kill Zones Time is the most critical element in ICT trading. This module highlights key trading windows to help you catch volatility. • Asia Range: Visualizes the accumulation phase (Default: 20:00 - 00:00 NY). • London Kill Zone: Captures the "Judas Swing" or initial breakout (Default: 02:00 - 05:00 NY). • New York Kill Zone: The primary session for trend continuation or reversals (Default: 07:00 - 10:00 NY). • Custom Session: A user-defined window (e.g., Close, Lunch) for added flexibility. • Feature: Toggle any session ON/OFF individually.
2. Smart Money Concepts (PD Arrays) The core engine automatically detects institutional reference points: • Order Blocks (OB): Highlights the last candle before a strong move. Green for Bullish, Red for Bearish. • Fair Value Gaps (FVG): Detects imbalances where price moved too quickly. • Breaker Blocks (BB): Advanced Logic. Automatically identifies Failed Order Blocks (e.g., a Bullish OB that got smashed through) and marks them as Breakers for retests. • Inversion FVGs (IFVG): Advanced Logic. Marks Failed FVGs that flip from support to resistance (or vice versa).
3. Market Structure & Swings • Swing Points: Automatically labels HH (Higher High), LL (Lower Low), LH , and HL to visualize the trend. • Break of Structure (BOS): Draws lines when trend continuation occurs. • Change of Character (CHoCH): Draws lines when the trend potentially reverses. • Customization: You can toggle the Labels and Lines independently to keep charts clean.
4. Fixed Range Volume Profile (FRVP) - Gap Logic Unlike standard indicators, this calculates the Volume Profile specifically for the "Gap" periods between sessions (e.g., Pre-London or Pre-NY). • POC (Point of Control): The price level with the highest volume traded during the gap. • VAH / VAL: Volume Area High and Low lines. • Usage: Helps identify where price is likely to magnetize before the next session opens.
5. Liquidity & Sweeps • Equal Highs/Lows (EQH/EQL): Automatically spots "Double Top/Bottom" formations where retail stops are hiding. • Sweep Signals: Provides real-time BUY/SELL signals when a session high/low is swept (liquidity raid) and price reverses back into the range.
6. Daily Premium & Discount • Calculates the Daily High , Daily Low , and Equilibrium (50%) level. • Helps you avoid buying in "Premium" (expensive) or selling in "Discount" (cheap) zones.
Settings Guide
Kill Zones • Show : Toggle visibility for Asia, London, NY, or Custom boxes. • Time Inputs: Set start/end times (Format: HHmm-HHmm in NY time).
Visuals • Colors: Customize the background colors and opacity for each session.
Premium / Discount • Calculate P/D: Enables the Daily Range calculation. • Show BG/Lines: Toggles the background shading or the High/Low/Eq lines.
Volume Profile • POC / VAH / VAL: Customize the color, width, and style (Solid/Dash) of volume lines.
SMC • Show FVG / OB: Toggles standard Order Blocks and Fair Value Gaps. • Req FVG?: Filter: Only shows OBs that created a Fair Value Gap (High Quality). • Show Breakers / IFVG: Toggles advanced "flipped" zones (Breaker Blocks & Inversion FVGs).
Structure • Show Swings: Toggles HH/LL labels on pivots. • Show Structure Lines: Toggles BOS/CHoCH horizontal lines.
Liquidity • Thresh: Sensitivity for detecting Equal Highs/Lows.
Trade Mgmt • Show Signals: Toggles the Buy/Sell labels on the chart.
How to Trade (Strategy Examples)
Strategy A: The "Session Sweep" (Reversal)
Wait for a Session Box (e.g., Asia) to form.
Look for price to break out above the Session High (Sweep).
Wait for a "SELL (Sweep)" signal. This confirms price grabbed liquidity and closed back inside.
Target: The opposing side of the session (Asia Low) or the Session POC.
Strategy B: The "Unicorn" (Breaker + FVG)
Identify a Breaker Block (BB) (a failed OB that flipped).
Look for a Fair Value Gap (FVG) overlapping with that Breaker.
Entry: Limit order at the overlap of the BB and FVG.
Stop Loss: Just outside the Breaker structure.
Disclaimer: This tool is for educational and analytical purposes only. Trading involves significant risk. Always combine these signals with your own analysis and risk management rules.
Whale Momentum BarsWhale Momentum Bars is a custom Visual Range Volume Profile (VRVP) for the last N bars that shows total volume only (no POC/VA/VAL). It builds a 55-row volume-by-price histogram (fully adjustable) using a more accurate method: each candle’s volume is distributed across price bins based on the candle’s high/low overlap.
The key idea is filtering: every row’s bar width is normalized to the highest-volume bin in the range. Only bins that reach a user-defined threshold (e.g. 33% or 50% of the max bin) are drawn. Low-volume areas vanish, high-volume nodes stay, and gaps are preserved—so the heavy-volume “whale zones” pop instantly.
You can draw the profile inside the selected range, choose left or right, control the max width (in bars) and offset, and customize color, transparency, and borders.
Optional labels mark the price levels of the top N local peaks (true volume nodes), so you see the most important high-volume levels without labeling adjacent “peak neighbor” bins.
Liquidity Strain Detector [MarkitTick]💡 This indicator provides a specialized method for detecting market anomalies where price movement becomes disconnected from typical volume profiles, signaling potential exhaustion events. By combining statistical analysis of liquidity (price impact) with a directional trend filter, the tool aims to highlight moments of extreme market stress, such as panic selling or euphoric buying, that often precede mean reversions or trend pauses.
● Originality and Utility
Standard volume indicators often look at raw volume levels, which can be misleading during different times of the day or across different assets. This script calculates the efficiency of moving price (Illiquidity) and normalizes it statistically. This allows the trader to see when the market is becoming thin or stressed relative to recent history. It is particularly useful for contrarian traders looking for capitulation points within established trends, offering a unique perspective beyond standard RSI or MACD divergence.
● Methodology
The core mechanism drives a custom Liquidity Engine that performs the following steps:
Price Impact Calculation: It computes the ratio of the True Range to Volume. High values indicate that price is moving significant distances on relatively low volume or that volatility is extreme relative to participation.
Normalization: The raw impact data is smoothed using a logarithmic scale to handle the wide variance in volume data.
Statistical Scoring (Z-Score): The script calculates the Z-Score of this normalized data over a user-defined lookback period. This determines how many standard deviations the current liquidity stress is away from the mean.
Trend Filtering: A standard Exponential Moving Average (EMA) determines the dominant market direction to contextualize the stress signal.
● How to Use
The indicator plots labels on the chart when specific High Stress conditions are met during a trend:
SE (Seller Exhaustion - Green Label): Appears when the market is in a downtrend (price below EMA), the current candle is bearish, and the liquidity stress Z-Score breaches the upper threshold. This suggests panic selling or a liquidity gap down, often marking a temporary bottom or reversal point.
BE (Buyer Exhaustion - Red Label): Appears when the market is in an uptrend (price above EMA), the current candle is bullish, and the liquidity stress Z-Score breaches the upper threshold. This suggests a melt-up or buying climax into thin liquidity, often preceding a pullback.
● Inputs
Trend Filter Length: The period for the EMA used to determine the baseline trend direction.
Statistical Lookback: The number of bars used to calculate the mean and standard deviation for the Z-Score.
Stress Threshold (Sigma): The Z-Score value required to trigger a high-stress signal. Higher values result in fewer, more extreme signals.
● Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Elite Cumulative Volume Delta OscillatorOverview
The Elite CVD+ is a premium-grade, session-resettable Cumulative Volume Delta indicator designed exclusively for professional futures and volume-profile traders. By focusing on the cleaner and more actionable Line-Focused mode, it transforms raw order flow data into a precise decision engine that reveals institutional buying/selling pressure, absorption, exhaustion, and high-probability reversal/continuation zones.
Unlike standard CVD tools that accumulate indefinitely or reset awkwardly, this version resets cleanly at your chosen anchor period (default daily) while pulling granular delta from lower timeframes when desired. The result: a smooth, non-repainting line that highlights real-time shifts in aggressive participation without the noise of perpetual accumulation.
Why This Indicator Is Elite-Level Useful
True Institutional Footprint
Cumulative Volume Delta measures the net aggressive buying (bid hits) vs. selling (ask hits). Sustained positive CVD = buyers in control; negative = sellers dominating. When price makes new highs on weakening CVD → classic bearish divergence signaling distribution. The session reset prevents old data from distorting current conviction, making divergences far more reliable than perpetual CVD.
Early Reversal Detection via Absorption & Extremes
Absorption highlighting flags scenarios where heavy delta pushes against price but price refuses to follow (e.g., massive selling into lows yet price holds or closes higher) — textbook trapping/retail stop-hunting.
Session CVD extremes with dynamic test zones pinpoint where aggressive flow is exhausted. Price returning to test these levels often produces high-R:R reversals.
Confluence-Rich Signals
Dual EMAs provide trend/filter context (crossovers, zero-line bounces). Dynamic coloring instantly shows momentum strength. Extreme single-bar delta highlights climax buying/selling. Built-in regular + hidden divergences align order flow with price structure.
Multi-Timeframe Consistency
Optional custom lower-TF delta fetch ensures the same granular data regardless of chart timeframe — critical for traders who switch between 1-min execution charts and 15-min/1H analysis charts.
Clean, Low-Lag Visuals
Thick CVD line with intelligent coloring, subtle backgrounds, persistent extreme lines, and optional labels keep the pane readable even during fast markets. No clutter from inferior candle representations.
How Professional Traders Use Elite CVD+ Most Successfully
Primary Setup Framework
Use on futures with reliable volume delta (ES, NQ, YM, CL, GC, etc.). Best timeframes: 3–15 minutes for intraday, 1H–4H for swing. Combine with price action structure (order blocks, fair value gaps, market profile highs/lows).
Practical Tips for Maximum Edge
Anchor Period: '1D' for regular session trading (resets at 00:00 exchange time). Use '1W' for weekly bias or '4H' for London/NY session-specific flow.
Lower Timeframe Delta: Enable custom and set to '1' or '3' for maximum granularity on indices. Leave disabled on higher charts for smoother read.
Absorption Tuning: Raise threshold to 80–90 on volatile instruments (NQ) to filter noise; lower to 70 on quieter ones (CL, GC).
Divergences: Most powerful on 15M+. Disable hidden on very low TFs if too noisy.
Alerts: Use the master “Any Event” alert for push/email/webhook notifications of zero crosses or new extremes — perfect for mobile monitoring.
Combination Tools: Pair with session VWAP, volume profile (fixed range at highs/lows), or psychological levels for triple confluence.
AlgosPoint G&MPoint Breaking 2025 (MB&GB Breaking Point Pro)
What It Does:
A comprehensive TradingView indicator that combines multiple technical analysis tools to identify key market breakout points, support/resistance levels, and trading opportunities. It integrates Volume Profile analysis, AlphaTrend signals, and custom risk assessment metrics.
Key Features:
Volume Profile Analysis: Displays Point of Control (POC), Value Area High/Low (VAH/VAL), and volume distribution
Support & Resistance Detection: Automatically identifies key price levels based on volume or price action
AlphaTrend Signals: Generates BUY/SELL signals with visual labels on chart
Volume Spike Detection: Highlights unusual volume activity indicating potential exhaustion or breakout
High Volatility Alerts: Marks periods of increased market volatility using ATR
Risk Assessment Dashboard: Real-time panel showing:
Long/Short percentages (RSI-based)
Stop levels for both directions
Bot activity percentage
Csocy Signal status (Safe/Undecided/Risky)
How to Use:
Add to Chart: Apply indicator to any timeframe (works best on 15m-4H)
Configure Settings: Adjust parameters in grouped sections:
📊 General Settings (lookback periods)
🎯 Support & Resistance (line styles/colors)
💥 Volume Spike (threshold sensitivity)
⚡ High Volatility (ATR multiplier)
📈 Volume Profile (display options)
🔥 AlphaTrend (signal sensitivity)
Read Signals:
BUY label = Potential long entry when AlphaTrend crosses up
SELL label = Potential short entry when AlphaTrend crosses down
Dashboard colors: Green = bullish, Red = bearish, Yellow = neutral
Set Alerts: Built-in alerts for price crosses, volume spikes, and signal confirmations
Risk Management: Use displayed stop levels and Csocy Signal status to manage position sizing
Best For:
Day traders and swing traders
Crypto, Forex, and Stock markets
Identifying high-probability breakout zones
Volume-based trading strategies
SMC Pro+ ICT v4 Enhanced - FINAL🎯 SMC Pro+ ICT v4 Enhanced - Complete Smart Money Trading System📊 Professional All-in-One Indicator for Smart Money Concepts & ICT MethodologyThe SMC Pro+ ICT v4 Enhanced is a comprehensive trading system that combines Smart Money Concepts (SMC) with Inner Circle Trader (ICT) methodology. This indicator provides institutional-grade market structure analysis, liquidity mapping, and volume profiling in one powerful package.✨ CORE FEATURES🏗️ Advanced Market Structure Detection
MSS (Market Structure Shift) - Identifies major trend reversals with precision
BOS (Break of Structure) - Confirms trend continuation moves
CHoCH (Change of Character) - Detects internal structure shifts
Modern LuxAlgo-Style Lines - Clean, professional visualization
Dual Sensitivity System - External structure (major swings) + Internal structure (minor swings)
Customizable Labels - Tiny, Small, or Normal sizes
Structure Break Visualization - Clear break point markers
💎 Supply & Demand Zones (POI - Point of Interest)
Institutional Order Blocks - Where smart money enters/exits
ATR-Based Zone Sizing - Dynamically adjusted to market volatility
Smart Overlap Detection - Prevents cluttered charts
Historical Zone Tracking - Maintains up to 50 zones
POI Central Lines - Pinpoint entry/exit levels
Auto-Extension - Zones extend to current price
Auto-Cleanup - Removes broken zones automatically
📦 Fair Value Gap (FVG) Detection
Bullish & Bearish FVGs - Institutional inefficiencies
Consequent Encroachment (CE) - 50% fill levels
Auto-Delete Filled Gaps - Keeps charts clean
Customizable Lookback - 1-30 days of history
Color-Coded Zones - Easy visual identification
CE Line Styles - Dotted, Dashed, or Solid
🚀 Enhanced PVSRA Volume Analysis
This is one of the most powerful features:
200% Volume Candles - Extreme institutional activity (Lime/Red)
150% Volume Candles - High institutional interest (Blue/Fuchsia)
Volume Climax Detection - Major reversal signals with 2.5x+ volume
Exhaustion Signals - Identifies buying/selling exhaustion with high accuracy
Enhanced Volume Divergence - NEW! High-quality reversal detection
Price makes lower low, Volume makes higher low = Bullish Divergence
Price makes higher high, Volume makes lower high = Bearish Divergence
Strict trend context filtering for accuracy
Rising/Falling Volume Patterns - Momentum confirmation (allows 1 exception in 3 bars)
Volume Spread Analysis - Price range × Volume for true strength
Body/Wick Ratio Analysis - Candle structure quality
ATR Normalization - Adjusts for different market volatility
Volume Profile Indicators - 🔥 EXTREME, ⚡ VERY HIGH, 📈 HIGH, ✅ ABOVE AVG
💧 Advanced Liquidity System
Smart money targets these levels:
Weekly High/Low Liquidity - Major institutional targets
Daily High/Low Liquidity - Intraday key levels
4H Session Liquidity - Short-term targets
Distance Indicators - Shows % distance from current price
Strength Indicators - Identifies high-probability sweeps
Swept Level Detection - Tracks executed liquidity grabs
Customizable Line Styles - Width, length, offset controls
Color-Coded Levels - Easy visual hierarchy
🎯 Master Bias System
Data-driven directional bias with 9-factor scoring:
Bull/Bear Bias Calculation - 0-100% scoring system
Multi-Timeframe Analysis - Daily, 4H, 1H trend alignment
Kill Zone Integration - London (2-5 AM) & NY (8-11 AM) sessions
EMA Alignment Factor - Trend confirmation
Volume Confirmation - Adds 5% when volume supports direction
Range Filter Integration - Adds 10% for trending markets
Session Context - Above/below session midpoint scoring
Bias Strength Rating - STRONG (>75%), MODERATE (60-75%), WEAK (<60%)
Real-Time Updates - Dynamic recalculation
📈 Premium & Discount Zones
Fibonacci-based institutional pricing:
Extreme Premium - Above 78.6% (Overvalued)
Premium Zone - 61.8% - 78.6% (Expensive)
Equilibrium - 38.2% - 61.8% (Fair Value)
Discount Zone - 21.4% - 38.2% (Cheap)
Extreme Discount - Below 21.4% (Undervalued)
Visual Zone Boxes - Color-coded for instant recognition
200-500 Bar Lookback - Customizable range calculation
🔄 Range Filter
Advanced trend detection:
Smoothed Range Calculation - Eliminates noise
Dynamic Support/Resistance - Auto-adjusting levels
Upward/Downward Counters - Measures trend strength
Color-Coded Line - Green (uptrend), Red (downtrend), Orange (ranging)
Adjustable Period - 1-200 bars
Multiplier Control - Fine-tune sensitivity (0.1-10.0)
🌊 Liquidity Zones (Vector Zones)
PVSRA-based horizontal liquidity:
Above Price Zones - Resistance clusters
Below Price Zones - Support clusters
Maximum 500 Zones - Professional-grade capacity
Body/Wick Definition - Choose zone boundaries
Auto-Cleanup - Removes cleared zones
Color Override - Custom styling options
Transparency Control - 0-100% opacity
📊 EMA System
Triple EMA trend confirmation:
Fast EMA (9) - Green line - Immediate trend
Medium EMA (21) - Blue line - Short-term trend
Slow EMA (50) - Red line - Major trend
EMA Alignment Detection - Bull/Bear stack confirmation
Dashboard Integration - Status: 📈 BULL ALIGN, 📉 BEAR ALIGN, 🔀 MIXED
Adjustable Lengths - Customize all three EMAs (5-200)
🎯 IDM (Institutional Decision Maker) Levels
Key institutional price levels:
Latest IDM Detection - 20-bar pivot lookback
Extended Lines - Projects 50 bars into future
Customizable Styles - Solid, Dashed, or Dotted
Line Width Control - 1-5 pixels
Color Selection - Match your chart theme
Price Label - Shows exact level with tick precision
📱 Professional Dashboard
Real-time market intelligence panel:
🎯 SIGNAL - 🟢 LONG, 🔴 SHORT, ⏳ WAIT, 🛑 NO TRADE
🎲 BIAS - Bull/Bear with STRONG/MODERATE/WEAK rating
📊 BULL/BEAR Scores - 0-100% percentage display
💎 ZONE - Current premium/discount location
🕐 KZ - Kill Zone status (🇬🇧 LONDON/🇺🇸 NY/⏸️ OFF)
🏗️ STRUCT - Market structure status (BULLISH/BEARISH/NEUTRAL)
⚡ EVENT - Last structure event (MSS/BOS)
⚡ INT - Internal structure trend
🎯 IDM - Latest institutional level
📊 EMA - EMA alignment status
🔄 RF - Range Filter direction
📊 PVSRA - Volume status (🚀 CLIMAX/📈 RISING/📉 FALLING)
📅 MTF - Multi-timeframe alignment (✅ FULL/⚠️ PARTIAL/❌ CONFLICT)
💪 CONF - Confidence score (0-100%)
📊 VOL - Volume ratio (e.g., 1.8x average)
Advanced Metrics (Toggle On/Off):
📏 RSI - Value + Status (OVERBOUGHT/STRONG/NEUTRAL/WEAK/OVERSOLD)
📈 MACD - Value + Direction (BULL/BEAR)
🌪️ VOL - Volatility state (⚠️ EXTREME/🔥 HIGH/📊 NORMAL/😴 LOW)
🔊 VOL PROF - Volume profile ratio
⏱️ TF - Current timeframe
Dashboard Customization:
4 Positions - Top Left, Top Right, Bottom Left, Bottom Right
3 Sizes - Small, Normal, Large
2 Modes - Compact (MTF combined) or Full (separate rows)
Professional Design - Dark theme with color-coded cells
🎮 TRADING SIGNALS & SETUP SCORING🟢 LONG Setup Requirements (9-Factor Confidence Score)
MTF Alignment - Daily/4H/1H/Structure all bullish (+2 points for full, +1 for partial)
Volume Confirmation - Above 1.2x average (+1 point)
Structure Event - MSS or BOS bullish (+2 points)
EMA Alignment - 9 > 21 > 50 (+1 point)
Kill Zone Active - London/NY + Bull bias >75% (+2 points)
Bias Match - Master bias matches structure trend (+1 point)
Confidence Threshold - >60% minimum for signal
🔴 SHORT Setup Requirements
Same 9-factor system but inverted for bearish conditions.💪 Confidence Levels
75-100% - ⭐ HIGH CONFIDENCE (Strong setup, all factors aligned)
50-74% - ⚠️ MODERATE (Good setup, partial alignment)
0-49% - ❌ LOW CONFIDENCE (Wait for better setup)
🎯 Signal Output
🟢 LONG - Bull bias + Bullish structure + >60% confidence
🔴 SHORT - Bear bias + Bearish structure + >60% confidence
⏳ WAIT LONG - Bull bias but low confidence
⏳ WAIT SHORT - Bear bias but low confidence
🛑 NO TRADE - Neutral bias or conflicting signals
🔔 COMPREHENSIVE ALERT SYSTEM (12 Alerts)Structure Alerts
⚡ MSS Bullish - Major bullish reversal
⚡ MSS Bearish - Major bearish reversal
📈 BOS Bullish - Bullish continuation
📉 BOS Bearish - Bearish continuation
⚠️ CHoCH Bullish - Internal bullish shift
⚠️ CHoCH Bearish - Internal bearish shift
Bias & Confidence Alerts
🟢 Bias Shift Bull - Master bias turns bullish
🔴 Bias Shift Bear - Master bias turns bearish
⭐ High Confidence - Setup reaches 75%+ confidence
Volume Alerts (High Probability)
🚀 Volume Climax Buy - Extreme bullish volume spike
💥 Volume Climax Sell - Extreme bearish volume spike
⚠️ Selling Exhaustion - Potential bullish reversal
⚠️ Buying Exhaustion - Potential bearish reversal
📊 Bullish Volume Divergence - High-quality bullish reversal signal
📊 Bearish Volume Divergence - High-quality bearish reversal signal
🎨 EXTENSIVE CUSTOMIZATIONColors & Styling
✅ All colors customizable for every component
✅ Supply/Demand zone colors + outlines
✅ FVG colors (bullish/bearish)
✅ PVSRA candle colors (6 types)
✅ Liquidity level colors (Weekly/Daily/4H/Swept)
✅ Structure line colors
✅ Premium/Equilibrium/Discount zone colorsDisplay Controls
✅ Toggle each feature on/off independently
✅ Adjustable sensitivities (Structure: 5-30, Internal: 3-15)
✅ Label size controls (Tiny/Small/Normal)
✅ Line width adjustments (1-5 pixels)
✅ Transparency controls (0-100%)
✅ Extension lengths (20-100 bars)
✅ Lookback periods (50-500 bars)Volume Settings
✅ PVSRA symbol override (trade one asset, analyze another)
✅ Climax threshold (2.0-5.0x)
✅ Rising volume bar count (2-5 bars)
✅ Divergence filters (Strict/Lenient)
✅ Divergence minimum bars (10-30)
✅ Volume threshold multiplier (1.0-2.0x)Dashboard Settings
✅ Position (4 corners)
✅ Size (Small/Normal/Large)
✅ Compact/Full mode
✅ Show/Hide advanced metrics
✅ Show/Hide EMA status💡 BEST PRACTICES & USAGE TIPS⏰ Optimal Timeframes
Scalping - 1m, 5m (Use Kill Zones, Volume Climax, FVG)
Day Trading - 5m, 15m, 1H (Use Structure, Liquidity, Bias)
Swing Trading - 4H, Daily (Use MTF, Premium/Discount, Structure)
Position Trading - Daily, Weekly (Use major structure, liquidity)
🎯 Asset Classes
✅ Forex - All pairs (especially majors during Kill Zones)
✅ Crypto - BTC, ETH, altcoins (24/7 liquidity)
✅ Stocks - All stocks and indices (use session times)
✅ Commodities - Gold, Silver, Oil (high volume periods)
✅ Indices - S&P 500, NASDAQ, DAX, etc.🔥 High-Probability Setups
The Perfect Storm
MSS in direction of daily trend
Kill Zone active
Volume climax
Confidence >75%
Price in discount (long) or premium (short)
Volume Divergence Play
Enhanced volume divergence signal
CHoCH confirms direction change
Price near liquidity level
FVG forms for entry
Liquidity Sweep
Price sweeps weekly/daily high/low
Immediate rejection (selling/buying exhaustion)
Structure shift (MSS)
Volume confirmation
Structure Retest
BOS breaks structure
Price returns to POI/FVG
Volume confirms (>1.2x)
Kill Zone active
📊 Multi-Timeframe Analysis
Higher Timeframe - Identify trend & structure (Daily/4H)
Trading Timeframe - Find entries (15m/1H)
Lower Timeframe - Precise entries (1m/5m)
Look for MTF alignment - Dashboard shows ✅ FULL or ⚠️ PARTIAL
⚠️ Risk Management
Always use stop-loss (below/above recent structure)
Position size: 1-2% risk per trade
Target liquidity levels for take profit
Use supply/demand zones for SL placement
Watch for exhaustion signals near targets
RSI Candles Pro [MTF]**RSI Candles Pro**
## **Overview**
The RSI Candles Pro indicator provides an advanced framework for visualizing RSI momentum through candlestick representation, structural analysis, and multi-dimensional confirmation signals. Unlike conventional RSI oscillators that display only a line plot, this system transforms RSI into a complete OHLC candlestick chart with integrated strength metrics, structural break detection, divergence analysis, and dynamic support/resistance mapping.
Each element adapts continuously to RSI behavior, offering traders a living map of momentum shifts, structural changes, and reversal potential. The indicator doesn't simply show overbought/oversold conditions—it quantifies momentum strength, tracks structural breaks, detects price-RSI divergences, and projects key inflection levels with precision.
The result is a comprehensive, momentum-aware representation of market structure:
- **RSI OHLC Candles** visualize momentum direction, strength, and conviction through candlestick patterns with dynamic color intensity.
- **Strength Scoring System** quantifies momentum conviction using distance from neutral, momentum acceleration, and candle body characteristics.
- **RSI Structure Lines & Zones** connect swing highs and lows, creating visual support/resistance zones within RSI space.
- **Break of Structure (BOS) Detection** identifies decisive momentum shifts when RSI breaks previous structural levels, complete with projected support/resistance lines.
- **Auto Pivot Horizontal Lines** dynamically map key RSI levels where price repeatedly reacts, serving as momentum inflection zones.
- **Divergence Detection** captures classic bullish and bearish divergences between price action and RSI behavior, flagging potential reversal conditions.
Unlike static RSI line plots or simple zone highlighting, RSI Candles Pro fuses candlestick visualization with structural awareness, strength quantification, and divergence analysis to provide a clear, multi-dimensional picture of momentum dynamics and potential turning points.
---
## **Theoretical Foundation**
The RSI Candles Pro indicator builds on principles of **momentum oscillation theory**, **structural market analysis**, and **divergence recognition**—concepts widely used by technical analysts to identify trend strength, exhaustion, and reversal conditions.
Standard RSI indicators display momentum as a single line crossing threshold levels, but this approach ignores critical dimensions: **momentum strength**, **structural context**, and **rate of change acceleration**. This indicator recognizes that RSI behavior can be decomposed into candlestick patterns that reveal conviction, hesitation, and reversal signals just as price candles do.
At its core are six interacting components:
### **1. RSI OHLC Candlestick Construction**
The indicator calculates RSI independently for open, high, low, and close prices within each bar, creating true RSI candlesticks rather than a single-line plot. This reveals:
- **Momentum direction** (bullish vs. bearish candles)
- **Momentum volatility** (wick length shows RSI range)
- **Momentum conviction** (body size indicates decisiveness)
- **Indecision patterns** (doji candles signal momentum exhaustion)
### **2. Strength Scoring Algorithm**
A composite strength score quantifies momentum conviction by analyzing three factors:
- **Distance from neutral (50 level)**: Greater distance indicates stronger directional bias
- **Momentum acceleration**: Rate of RSI change over recent bars reveals building or fading momentum
- **Body-to-range ratio**: Larger bodies relative to total candle range show decisive momentum vs. indecision
This produces a 0-100 strength score that dynamically adjusts candle transparency—strong moves appear vibrant, weak moves appear faded—providing instant visual feedback on momentum quality.
### **3. RSI EMA with Slope-Sensitive Coloring**
A smoothed exponential moving average of RSI serves as a trend filter, but with a critical enhancement: **dynamic color coding based on slope direction**. When the RSI EMA slopes upward, it displays in bullish color; when sloping downward, bearish color. This provides instant trend context and filters noise from raw RSI fluctuations.
### **4. RSI Structural Framework**
The indicator identifies swing highs and lows within RSI space using pivot detection, then:
- **Connects consecutive swings with lines** to visualize RSI trend channels
- **Creates shaded zones between swings** to highlight support/resistance regions in momentum space
- **Implements cooloff periods** to prevent redundant signals and maintain chart clarity
These structural elements reveal whether RSI is forming higher highs/higher lows (bullish structure) or lower highs/lower lows (bearish structure).
### **5. Break of Structure (BOS) Logic**
The system detects **decisive momentum shifts** when RSI breaks previous structural levels in alignment with RSI EMA trend direction:
- **Bullish BOS**: RSI breaks above previous swing high while RSI EMA is rising
- **Bearish BOS**: RSI breaks below previous swing low while RSI EMA is falling
When BOS occurs, the indicator automatically:
- Places a BOS label at the breakout point
- Projects a support/resistance line forward (20+ bars)
- Creates a shaded zone around the S/R level
- Provides tooltip information with exact S/R values
This gives traders actionable levels where momentum shifts may be defended or rejected.
### **6. Price-RSI Divergence Detection**
Classic divergence analysis identifies conditions where price and momentum disagree:
- **Bullish Divergence**: Price makes lower low, RSI makes higher low (momentum refusing to confirm weakness)
- **Bearish Divergence**: Price makes higher high, RSI makes lower high (momentum weakening despite price strength)
Divergences often precede significant reversals, providing early warning signals before price structure breaks.
### **7. Auto Pivot Horizontal Lines**
The indicator dynamically tracks historical RSI pivot points and plots horizontal lines at these levels, extended forward in time. These act as **momentum support/resistance zones**—levels where RSI has repeatedly turned in the past and may respect again in the future. The system:
- Detects unique pivot levels (filtering duplicates within 2 RSI points)
- Maintains a configurable maximum number of lines per side
- Optionally extends lines infinitely right for persistent reference
- Labels each line with its exact RSI value
By integrating these elements, the indicator provides both micro-level momentum analysis (individual candle strength) and macro-level structural context (swing patterns, BOS events, divergences, key levels), maintaining clarity while revealing momentum dynamics in real time.
---
## **How It Works**
The RSI Candles Pro indicator operates through layered processing stages:
### **Stage 1: RSI OHLC Calculation**
- Four independent RSI calculations are performed for each bar: RSI(open), RSI(high), RSI(low), RSI(close)
- These are combined to form RSI candlesticks:
- **RSI Open/Close**: Determines candle body direction and size
- **RSI High**: Highest value among all four RSI calculations becomes upper wick
- **RSI Low**: Lowest value among all four RSI calculations becomes lower wick
- This creates a complete candlestick representation in RSI space that mirrors price action behavior
### **Stage 2: Strength Score Computation**
For each RSI candle, a composite strength score is calculated:
This score drives **dynamic transparency**: strong moves (score > 70) display with high opacity, weak moves (score < 40) display faded, providing instant visual feedback on momentum quality.
### **Stage 3: RSI EMA Trend Filter**
- An exponential moving average smooths RSI values over a configurable period (default 9)
- The slope is calculated: `rsiEmaSlope = rsiEMA - rsiEMA `
- Dynamic coloring:
- **Positive slope** → Green/Bullish color
- **Negative slope** → Red/Bearish color
- **Flat slope** → Gray/Neutral color
- This provides trend context and filters out noise from raw RSI oscillations
### **Stage 4: Structural Swing Detection**
- Swing highs and lows are identified using pivot detection with configurable lookback (default 5 bars left/right)
- **Cooloff mechanism** prevents redundant signals by requiring minimum bars between swings (default 8)
- When new swings are detected:
- Previous swing values are stored for BOS comparison
- Lines connect consecutive swings to visualize momentum structure
- Shaded boxes (zones) highlight the range between swings as support/resistance regions
### **Stage 5: Break of Structure (BOS) Analysis**
The system monitors RSI behavior relative to previous structural levels:
**Bullish BOS triggers when:**
1. RSI EMA slope is positive (uptrend filter)
2. Current RSI close exceeds previous swing high
3. Previous bar's RSI was below that swing high (confirms break)
4. Cooloff period has elapsed since last bullish BOS (default 10 bars)
**Bearish BOS triggers when:**
1. RSI EMA slope is negative (downtrend filter)
2. Current RSI close breaks below previous swing low
3. Previous bar's RSI was above that swing low (confirms break)
4. Cooloff period has elapsed since last bearish BOS
Upon BOS detection, the indicator automatically:
- Places a labeled marker at the breakout point
- Calculates S/R level with buffer (e.g., RSI low - 0.5 points for bullish BOS)
- Draws a dashed S/R line extending forward (configurable, default 20 bars)
- Creates a shaded S/R zone (±0.5 points from line)
- Adds an "S/R" label at the line's end
### **Stage 6: Auto Pivot Line Management**
- Pivot highs and lows are detected using a separate lookback period (default 5)
- When a new pivot forms:
- System checks if a similar level already exists (within 2 RSI points)
- If unique, adds a horizontal line at that RSI value
- Lines are stored in arrays with configurable maximum capacity (default 4 per side)
- Oldest lines are automatically removed when capacity is exceeded
- Optional labels display exact RSI values at pivot levels
### **Stage 7: Divergence Detection**
The system compares price pivot points with RSI pivot points:
**Bearish Divergence:**
- Price makes higher high compared to previous pivot high
- RSI makes lower high compared to previous RSI pivot high
- RSI must be above 50 (mid-level) to confirm overbought context
- Triangle-down marker placed above candle with "DIV" text
**Bullish Divergence:**
- Price makes lower low compared to previous pivot low
- RSI makes higher low compared to previous RSI pivot low
- RSI must be below 50 to confirm oversold context
- Triangle-up marker placed below candle with "DIV" text
### **Stage 8: Strength Dot Visualization**
Colored dots appear according to Delta Volume strength:
### **Stage 9: Real-Time Info Table**
Through these processes, the indicator creates a living, adaptive representation of RSI behavior that reveals both momentum strength and structural context in real time.
---
## **Interpretation**
The RSI Candles Pro indicator reframes momentum reading from simple overbought/oversold levels to structured awareness of momentum behavior:
### **Candle Patterns**
- **Large-bodied bullish candles (vibrant green)**: Strong, decisive bullish momentum—continuation likely
- **Large-bodied bearish candles (vibrant red)**: Strong, decisive bearish momentum—continuation likely
- **Small-bodied or doji candles (faded/gray)**: Indecision or momentum exhaustion—reversal possible
- **Long upper wicks**: Failed bullish momentum—rejection at resistance
- **Long lower wicks**: Failed bearish momentum—support holding
### **RSI EMA Trend Context**
- **RSI EMA rising (green)**: Momentum uptrend—favor bullish setups
- **RSI EMA falling (red)**: Momentum downtrend—favor bearish setups
- **RSI EMA flat (gray)**: Momentum consolidation—wait for directional clarity
### **Structural Analysis**
- **RSI making higher swing lows with rising EMA**: Bullish structure intact—look for dip-buying opportunities
- **RSI making lower swing highs with falling EMA**: Bearish structure intact—look for rally-selling opportunities
- **Shaded structure zones**: Key support/resistance in momentum space—expect reactions at these levels
### **Break of Structure Signals**
- **Bullish BOS + S/R line**: Momentum confirming upward shift—S/R line becomes support if price dips
- **Bearish BOS + S/R line**: Momentum confirming downward shift—S/R line becomes resistance if price rallies
- **S/R line break**: Momentum structure failing—potential reversal or deeper retracement
### **Pivot Lines**
- **Price approaching RSI pivot high**: Momentum resistance—watch for rejection or breakout
- **Price approaching RSI pivot low**: Momentum support—watch for bounce or breakdown
- **Multiple pivot lines clustered**: Strong momentum support/resistance zone—high-probability reaction area
### **Divergences**
- **Bullish divergence in oversold zone**: Momentum refusing to make new lows despite price weakness—reversal setup
- **Bearish divergence in overbought zone**: Momentum weakening despite price strength—reversal setup
- **Divergence + structure break**: High-conviction reversal signal—combined technical and momentum confirmation
### **Strength Dots**
- **Large dots**: High-conviction moves—reliable trend continuation signals
- **Small dots**: Low-conviction moves—increased reversal risk, avoid chasing
- **Diamond warnings in extremes**: Overextended conditions—prepare for mean reversion
### **Zone Background**
- **Red background (RSI > 70)**: Overbought—watch for bearish divergence or momentum exhaustion
- **Green background (RSI < 30)**: Oversold—watch for bullish divergence or momentum recovery
- **No background (30-70)**: Neutral zone—rely on structure and BOS for directional bias
---
## **Strategy Integration**
RSI Candles Pro integrates seamlessly into momentum-based and reversal trading systems:
### **Trend Continuation Strategies**
- **Entry trigger**: Bullish BOS in rising RSI EMA context with strong candle (large dot)
- **Confirmation**: Price respecting S/R line as support on pullback
- **Exit**: Bearish divergence or RSI candle indecision (doji) at pivot resistance
### **Reversal Strategies**
- **Setup**: Divergence forming in extreme zone (RSI > 70 or < 30)
- **Trigger**: RSI structure break opposite to prevailing trend (bearish BOS in uptrend)
- **Confirmation**: RSI EMA slope change + decisive candle in reversal direction
- **Entry**: On pullback to S/R line or pivot level
### **Momentum Fade Strategies**
- **Signal**: Small strength dots appearing in extreme zones
- **Setup**: RSI touching pivot resistance/support with indecision candle
- **Entry**: Opposite-direction candle with medium/large dot
- **Stop**: Beyond recent RSI structure level
### **Structure-Based Entries**
- **Align higher-timeframe RSI trend** (EMA slope direction)
- **Wait for lower-timeframe BOS** in alignment with higher trend
- **Enter on retest** of S/R line with strength confirmation (large dot)
- **Scale out** at next pivot level or divergence signal
### **Multi-Indicator Confluence**
Combine RSI Candles Pro with:
- **Price structure indicators** (Smart Money Concepts, market structure) for trade direction
- **Volume indicators** to confirm momentum with participation
- **Volatility indicators** (ATR, Bollinger Bands) for position sizing context
- **Institutional Zone Detector** for volume profile alignment—RSI BOS + price at VAL/VAH = high-conviction entry
### **Multi-Timeframe Coordination**
- **Higher timeframe** (4H-Daily): Identify RSI EMA trend direction and major structure
- **Lower timeframe** (15min-1H): Execute entries on BOS signals aligned with higher timeframe
- **Micro timeframe** (1-5min): Fine-tune entries using strength dots and pivot reactions
---
## **Technical Implementation Details**
### **Core Engine**
- **RSI OHLC calculation**: Four independent RSI computations per bar create candlestick representation
- **Strength scoring**: Multi-factor composite algorithm quantifies momentum conviction
- **Dynamic transparency**: Real-time opacity adjustment based on strength score
### **Structural Framework**
- **Pivot-based swing detection**: Configurable left/right bar lookback with cooloff mechanism
- **Line and zone visualization**: Connects consecutive swings with shaded support/resistance regions
- **Array-based storage**: Previous swing values preserved for BOS comparison logic
### **BOS Detection Engine**
- **Dual-condition logic**: Structure break + trend alignment (RSI EMA slope) required
- **Automatic S/R projection**: Lines, zones, and labels generated upon BOS events
- **Cooloff management**: Prevents signal spam during extended directional moves
### **Divergence System**
- **Price-RSI pivot comparison**: Detects higher-high/lower-high and lower-low/higher-low patterns
- **Zone filtering**: Divergences only trigger in appropriate zones (above/below 50)
- **Visual markers**: Triangle shapes with "DIV" text for instant recognition
### **Auto Pivot Management**
- **Dynamic level tracking**: Arrays store lines, values, and labels
- **Duplicate filtering**: Prevents redundant lines within 2 RSI points
- **Capacity control**: Automatic removal of oldest lines when maximum reached
- **Optional extension**: Lines can extend infinitely right for persistent reference
### **Performance Profile**
- **Lightweight computation**: Efficient pivot detection and array management
- **Real-time responsiveness**: Immediate updates on bar close
- **Scalable across timeframes**: Maintains clarity from 1-minute to daily charts
- **Configurable visual elements**: All features can be toggled for custom layouts
---
## **Optimal Application Parameters**
### **Timeframe Guidance**
**1-5 Minute Charts (Scalping):**
- RSI Length: 9-11 (faster response)
- RSI EMA Length: 5-7
- Structure Lookback: 3-4
- Pivot Lookback: 3-4
- Use Case: Micro momentum shifts, quick BOS entries
**15-60 Minute Charts (Intraday Swing):**
- RSI Length: 14 (standard)
- RSI EMA Length: 9
- Structure Lookback: 5
- Pivot Lookback: 5
- Use Case: Intraday structure breaks, divergence reversals
**4 Hour - Daily Charts (Position Trading):**
- RSI Length: 14-21
- RSI EMA Length: 13-21
- Structure Lookback: 7-10
- Pivot Lookback: 7-10
- Use Case: Major momentum shifts, high-timeframe divergences
### **Suggested Configuration (Default)**
- **RSI Length**: 14 (industry standard)
- **RSI EMA Length**: 9 (smooth but responsive)
- **Overbought Level**: 70
- **Oversold Level**: 30
- **Structure Lookback**: 5 bars
- **Structure Cooloff**: 8 bars
- **BOS Cooloff**: 10 bars
- **S/R Extension**: 20 bars
- **S/R Buffer**: 0.5 RSI points
- **Pivot Lookback**: 5 bars
- **Max Pivot Lines**: 4 per side
- **Divergence Lookback**: 5 bars
- Use strength dots as primary filter—require large dots for entries
- Rely heavily on divergences and structure zones
**Trending Markets:**
- Focus on BOS signals aligned with RSI EMA slope
- Use pivot lines as profit targets
- Ignore counter-trend divergences until RSI EMA changes slope
**Ranging Markets:**
- Emphasize divergences at extreme levels
- Trade bounces from pivot lines
- Reduce reliance on BOS signals (more false breaks)
---
## **Performance Characteristics**
### **High Effectiveness:**
- **Trending markets with clear momentum cycles**: RSI structure aligns with price structure for reliable BOS signals
- **Markets with defined swing patterns**: Pivot lines and structure zones provide accurate support/resistance
- **Divergence-prone assets**: Assets that respect momentum/price divergences (equities, major FX pairs)
- **Timeframes with sufficient volatility**: RSI candles show meaningful patterns when price moves decisively
### **Reduced Effectiveness:**
- **Choppy, sideways markets**: RSI oscillates around 50 with no structural pattern, generating false BOS signals
- **Low-liquidity assets**: Erratic price action creates unreliable RSI swings
- **News-driven volatility spikes**: Sudden moves invalidate structure and create whipsaws
- **Extremely low timeframes (< 1 minute)**: Noise overwhelms signal, structure breaks lack follow-through
### **Optimal Market Conditions:**
- **Clear momentum phases** with defined RSI EMA trend
- **Respect for previous swing levels** in RSI space
- **Volume participation** during BOS events (combine with volume indicator)
- **Alignment between RSI structure and price structure**
---
## **Integration Guidelines**
### **Confluence Framework**
Combine RSI Candles Pro with:
1. **Volume analysis** (Institutional Zone Detector, volume profile) to confirm RSI BOS with volume participation
2. **Price structure** (Smart Money Concepts, order blocks) to align RSI momentum with price levels
3. **Trend indicators** (moving averages, Supertrend) for higher-timeframe directional bias
4. **Volatility indicators** (ATR, Bollinger Bands) for stop-loss and profit target placement
### **Directional Control**
- **Never trade against RSI EMA slope** unless high-conviction divergence present
- **Require BOS alignment** with RSI EMA direction for continuation trades
- **Wait for RSI EMA slope change** before taking counter-trend reversals
### **Risk Calibration**
- **Stop-loss placement**: Beyond recent RSI structure swing (converted to price)
- **Position sizing**: Larger positions for strong candles (large dots) at BOS events
- **Profit targets**: Next pivot line level or opposite-zone boundary (70/30)
- **Trail stops**: Use S/R lines as trailing stop levels after BOS
### **Multi-Timeframe Synergy**
1. **Check higher timeframe** (3x-5x current): RSI EMA slope and major structure
2. **Identify current timeframe**: BOS events and divergences
3. **Execute on lower timeframe** (1/3x-1/5x current): Strength-confirmed entries at pivot levels
4. **Align all timeframes**: Only trade when RSI structure agrees across timeframes
### **Alert Strategy**
Enable alerts for:
- **RSI BOS events**: Immediate notification of momentum structure breaks
- **Divergences**: Early warning of potential reversals
- **Extreme zone entries**: RSI crossing 70/30 levels
- **RSI EMA trend changes**: Shifts in momentum trend direction
---
## **Disclaimer**
The RSI Candles Pro indicator is a professional-grade momentum visualization and structural analysis tool. It is not predictive or guaranteed profitable; performance depends on parameter tuning, market regime, and disciplined execution.
**Key Considerations:**
- RSI is a **derivative indicator** (calculated from price), not a leading indicator—it confirms momentum but does not predict future price
- **Divergences can persist** for extended periods; early entries may require multiple attempts
- **BOS signals may fail** in choppy markets; always use stop-losses and risk management
- **Optimal parameters vary** by asset, timeframe, and volatility regime—backtesting recommended
- **No indicator works in isolation**; combine with price action, volume, and market context
**Best Practices:**
- Paper trade new configurations before risking capital
- Maintain a trading journal to identify which signals work best for your style
- Adjust cooloff periods and lookback lengths based on asset characteristics
- Use in conjunction with fundamental analysis and broader market context
- Never risk more than 1-2% of capital per trade, regardless of indicator signals
This indicator is designed to enhance decision-making, not replace it. Traders should integrate RSI Candles Pro into a comprehensive analytical framework that includes price structure, volume analysis, and risk management protocols. Success requires consistent application of tested strategies, emotional discipline, and continuous adaptation to changing market conditions.
Fabio-Style Order Flow SystemFabio-Style Order Flow System — LVN • Delta • Big Trades • FVG • Order Blocks • Liquidity • Volume Profile
This indicator brings together all major components of Fabio Valentino’s order-flow strategy in one unified tool. It visualizes where smart money is active, where inefficiencies form, and where price is likely to react next.
🔍 FEATURES
1. Order Flow & Delta
Smoothed delta to show true market imbalance
Background color shifts to bullish/bearish delta dominance
Alerts for delta spikes & order-flow flips
2. Big Trade Detection
Highlights Big Buy and Big Sell prints (relative to average volume)
Helps identify institutional aggression on both sides
3. Low Volume Nodes (LVNs)
Automatically detects low-volume zones
Flags retests of LVNs for high-probability reactions
Uses dynamic volume thresholds for accuracy
4. Volume Profile (Lightweight)
Bucket-based intrabar profile across user-defined lookback
Highlights volume distribution without heavy TradingView CPU load
Auto-scales bucket density & transparency
5. Fair Value Gaps (FVGs)
Detects both bullish & bearish three-bar imbalances
Marks gaps visually using colored boxes
Updates dynamically with a user-set lookback
6. Order Blocks (OBs)
Identifies valid displacement bars and their origin OB
Plots clean, minimalist rectangles around key OB zones
Uses ATR-based impulse filtering
7. Liquidity Grabs
Detects wick-based liquidity sweeps
Highlights both equal high/low and stop-run type wicks
Useful for spotting reversals & trap setups
8. Strategy Dashboard
Shows real-time order flow state
Displays delta strength, big trades, LVNs, and last directional impulse
Auto-positions in all corners
🎯 PERFECT FOR
Traders who use:
Order Flow
Smart Money Concepts (SMC)
ICT / FVG / Liquidity models
Market Structure + Volume
Fabio Valentino-style analysis
⚙️ PERFORMANCE
All elements optimized
Uses automatic box-clearing to avoid array overload
Works on all timeframes & markets (crypto, FX, indices, stocks)
NR-VP-Period with VAH/VAL V.1.0Description
This indicator combines several useful trading tools into one package so you don’t need to load multiple scripts on your chart. It includes a built-in lot size calculator, session high-low zones, a custom volume profile with VPOC, VAH and VAL, previous-day high/low levels, pivot points and inside-bar detection. Each feature has its own on/off switch so you can keep the chart as clean or detailed as you want.
1. Lot Size Calculator
The script calculates position size based on your entry price, stop loss, account balance and risk percentage. It identifies whether the setup is a buy or sell and displays the results in a compact table on the chart, including SL distance in pips, risk amount and the final lot size.
2. Session High-Low Boxes
It draws high, low and mid lines for three intraday sessions: Asia, Midnight and London. Each session creates a dynamic box on the chart with optional extended lines to highlight future reaction levels. All colors and time windows can be customized.
3. Volume Profile with VPOC / VAH / VAL
The script calculates a multi-day volume profile at a custom resolution. It shows the VPOC line, the highest and lowest prices within the profile range, and the value area boundaries (VAH and VAL) based on your chosen percentage. Optional horizontal volume bars can be added for extra clarity. All elements can be toggled on or off.
4. Daily High and Low
It plots the previous day’s high and low with fully adjustable colors and line width. The levels update automatically and extend across the chart.
5. Pivot Points
The indicator detects automatic swing highs and lows (pivot points) using a configurable left/right length. Each pivot is marked with a small label and an extended dotted line.
6. Inside Bar Highlights
The script includes an inside bar detection system so you can visually track potential breakout or compression zones.
🌊 QUANTUM FLOW PRO - Ultimate Trading System🌊 QUANTUM FLOW PRO - Ultimate Trading System
Description:
QUANTUM FLOW PRO (QFP) is a comprehensive, all-in-one professional trading ecosystem designed for Crypto, Forex, and Stock markets. Unlike simple indicators that rely on a single metric, QFP combines Trend Analysis, Volume Profiles, Order Flow, and Institutional Accumulation logic into a single, powerful decision-making engine.
This system calculates a "Signal Score" (0-100) for every potential trade by analyzing over 10 different technical factors simultaneously.
🚀 KEY FEATURES
1. 🧠 Smart Signal Scoring System Every Buy or Sell signal is not just a guess; it is the result of a complex calculation. The system evaluates:
Trend: SuperTrend & EMA confluence.
Momentum: RSI, MACD, and Stochastic levels.
Volume: Money Flow, OBV, and Volume Z-Score.
Multi-Timeframe (HTF): Checks 4H and Daily trends for confirmation.
Result: You get a score (e.g., 85/100) indicating the probability of success.
2. 🐋 Whale & Accumulation Detection Identify where big players are positioning themselves before the move happens.
Purple Zones: High Accumulation areas (potential explosive breakouts).
Whale Activity: Detects unusual volume spikes often associated with institutional entries.
Consolidation: Measures volatility contraction to predict expansion.
3. 🔵 Order Flow & Pressure Visualize the battle between buyers and sellers directly on the chart.
Green/Red Dots: Show real-time Buying or Selling pressure based on price-volume divergence.
Order Walls: Identifies potential liquidity zones where price might stall or reverse.
4. 💰 Advanced Risk Management Stop guessing your exits. QFP provides dynamic levels automatically:
Entry, Stop Loss, and 3 Take Profit Levels.
Methods: Choose between ATR-based (Volatility), Fibonacci-based, or a Hybrid calculation.
Win Probability: Shows the statistical probability of reaching the next target (DN1, DN2, DN3).
5. 📊 Professional Dashboard A sleek, non-intrusive panel displaying:
Current Trend & Strength.
HTF Status.
RSI, MACD, VWAP status.
Accumulation Score & Volume Health.
🛠️ HOW TO USE
Select your Mode:
Conservative: Best for beginners. Fewer signals, higher confirmation (Wait 30 bars).
Balanced: Standard approach for day trading.
Aggressive: For scalping and volatile markets.
Wait for a Signal:
Look for the "STRONG BUY" (Green Triangle) or "STRONG SELL" (Red Triangle) labels.
Check the Score on the label (e.g., Score: 75/60). Higher is better.
Confirm with Dashboard:
Ensure the "Trend" and "HTF" (Higher Timeframe) match the signal direction.
Look for "Healthy" volume.
Execute & Manage:
Enter the trade.
Place your Stop Loss at the suggested SL line.
Take partial profits at TP1 and TP2.
Move SL to Breakeven after TP1 is hit (the script suggests this visually).
⚙️ SETTINGS OVERVIEW
Market Type: Optimize calculations for Crypto, Forex, or Stocks (BIST).
Risk Level: Low, Medium, High (Adjusts the signal threshold score).
TP Method: Hybrid (Recommended) blends ATR and Fib levels for precision.
⚠️ DISCLAIMER
This tool is for educational and analytical purposes only. Trading involves significant risk. Always perform your own due diligence and never trade with money you cannot afford to lose
RSI ✶ YSTCThis is a Bonus Indicator from YSTC's Volume Profile Tools.
Relative Strength Index (RSI)
A momentum based oscillator which is used to measure the speed (velocity) as well as the change (magnitude) of directional price movements.
What Different about this RSI by YSTC.
You get Support and Resistance lines for RSI which are 20, 30, 40, 50, 60, 70, 80. as shown below.
It can also show RSI Candles as shown below.
For those who want all types of MA with MA Cross can play with this indicator. Below is MA Cross of 9, 21.
And for NEW user with untrained eyes who cant yet detect Divergence this indicator Saves you the trouble of finding.
Below is Regular Bullish and Bearish Divergence. Linewidth 2.
Below is Hidden Bullish and Bearish Divergence. Linewidth 1.
You can add this script to your chart by clicking "Add to favorites" button.
Have Questions ?
Contact: +91 9637070868.
Name: Yogesh Patil (YS Trading Coach).
Time: Monday to Saturday (10:00 AM - 06:00 PM).
Visit our website - YS Trading Coach .
FREE Self Study Yourself Course: Trading with Price Action Volume .
Free Stock Market Introduction Available here .
Paid Course: Trading with Price Action Volume
Paid Volume Profile Tools available here.
Algorithm Predator - ProAlgorithm Predator - Pro: Advanced Multi-Agent Reinforcement Learning Trading System
Algorithm Predator - Pro combines four specialized market microstructure agents with a state-of-the-art reinforcement learning framework . Unlike traditional indicator mashups, this system implements genuine machine learning to automatically discover which detection strategies work best in current market conditions and adapts continuously without manual intervention.
Core Innovation: Rather than forcing traders to interpret conflicting signals, this system uses 15 different multi-armed bandit algorithms and a full reinforcement learning stack (Q-Learning, TD(λ) with eligibility traces, and Policy Gradient with REINFORCE) to learn optimal agent selection policies. The result is a self-improving system that gets smarter with every trade.
Target Users: Swing traders, day traders, and algorithmic traders seeking systematic signal generation with mathematical rigor. Suitable for stocks, forex, crypto, and futures on liquid instruments (>100k daily volume).
Why These Components Are Combined
The Fundamental Problem
No single indicator works consistently across all market regimes. What works in trending markets fails in ranging conditions. Traditional solutions force traders to manually switch indicators (slow, error-prone) or interpret all signals simultaneously (cognitive overload).
This system solves the problem through automated meta-learning: Deploy multiple specialized agents designed for specific market microstructure conditions, then use reinforcement learning to discover which agent (or combination) performs best in real-time.
Why These Specific Four Agents?
The four agents provide orthogonal failure mode coverage —each agent's weakness is another's strength:
Spoofing Detector - Optimal in consolidation/manipulation; fails in trending markets (hedged by Exhaustion Detector)
Exhaustion Detector - Optimal at trend climax; fails in range-bound markets (hedged by Liquidity Void)
Liquidity Void - Optimal pre-breakout compression; fails in established trends (hedged by Mean Reversion)
Mean Reversion - Optimal in low volatility; fails in strong trends (hedged by Spoofing Detector)
This creates complete market state coverage where at least one agent should perform well in any condition. The bandit system identifies which one without human intervention.
Why Reinforcement Learning vs. Simple Voting?
Traditional consensus systems have fatal flaws: equal weighting assumes all agents are equally reliable (false), static thresholds don't adapt, and no learning means past mistakes repeat indefinitely.
Reinforcement learning solves this through the exploration-exploitation tradeoff: Continuously test underused agents (exploration) while primarily relying on proven winners (exploitation). Over time, the system builds a probability distribution over agent quality reflecting actual market performance.
Mathematical Foundation: Multi-armed bandit problem from probability theory, where each agent is an "arm" with unknown reward distribution. The goal is to maximize cumulative reward while efficiently learning each arm's true quality.
The Four Trading Agents: Technical Explanation
Agent 1: 🎭 Spoofing Detector (Institutional Manipulation Detection)
Theoretical Basis: Market microstructure theory on order flow toxicity and information asymmetry. Based on research by Easley, López de Prado, and O'Hara on high-frequency trading manipulation.
What It Detects:
1. Iceberg Orders (Hidden Liquidity Absorption)
Method: Monitors volume spikes (>2.5× 20-period average) with minimal price movement (<0.3× ATR)
Formula: score += (close > open ? -2.5 : 2.5) when volume > vol_avg × 2.5 AND abs(close - open) / ATR < 0.3
Interpretation: Large volume without price movement indicates institutional absorption (buying) or distribution (selling) using hidden orders
Signal Logic: Contrarian—fade false breakouts caused by institutional manipulation
2. Spoofing Patterns (Fake Liquidity via Layering)
Method: Analyzes candlestick wick-to-body ratios during volume spikes
Formula: if upper_wick > body × 2 AND volume_spike: score += 2.0
Mechanism: Spoofing creates large wicks (orders pulled before execution) with volume evidence
Signal Logic: Wick direction indicates trapped participants; trade against the failed move
3. Post-Manipulation Reversals
Method: Tracks volume decay after manipulation events
Formula: if volume > vol_avg × 3 AND volume / volume < 0.3: score += (close > open ? -1.5 : 1.5)
Interpretation: Sharp volume drop after manipulation indicates exhaustion of manipulative orders
Why It Works: Institutional manipulation creates detectable microstructure anomalies. While retail traders see "mysterious reversals," this agent quantifies the order flow patterns causing them.
Parameter: i_spoof (sensitivity 0.5-2.0) - Controls detection threshold
Best Markets: Consolidations before breakouts, London/NY overlap windows, stocks with institutional ownership >70%
Agent 2: ⚡ Exhaustion Detector (Momentum Failure Analysis)
Theoretical Basis: Technical analysis divergence theory combined with VPIN reversals from market microstructure literature.
What It Detects:
1. Price-RSI Divergence (Momentum Deceleration)
Method: Compares 5-bar price ROC against RSI change
Formula: if price_roc > 5% AND rsi_current < rsi : score += 1.8
Mathematics: Second derivative detecting inflection points
Signal Logic: When price makes higher highs but momentum makes lower highs, expect mean reversion
2. Volume Exhaustion (Buying/Selling Climax)
Method: Identifies strong price moves (>5% ROC) with declining volume (<-20% volume ROC)
Formula: if price_roc > 5 AND vol_roc < -20: score += 2.5
Interpretation: Price extension without volume support indicates retail chasing while institutions exit
3. Momentum Deceleration (Acceleration Analysis)
Method: Compares recent 3-bar momentum to prior 3-bar momentum
Formula: deceleration = abs(mom1) < abs(mom2) × 0.5 where momentum significant (> ATR)
Signal Logic: When rate of price change decelerates significantly, anticipate directional shift
Why It Works: Momentum is lagging, but momentum divergence is leading. By comparing momentum's rate of change to price, this agent detects "weakening conviction" before reversals become obvious.
Parameter: i_momentum (sensitivity 0.5-2.0)
Best Markets: Strong trends reaching climax, parabolic moves, instruments with high retail participation
Agent 3: 💧 Liquidity Void Detector (Breakout Anticipation)
Theoretical Basis: Market liquidity theory and order book dynamics. Based on research into "liquidity holes" and volatility compression preceding expansion.
What It Detects:
1. Bollinger Band Squeeze (Volatility Compression)
Method: Monitors Bollinger Band width relative to 50-period average
Formula: bb_width = (upper_band - lower_band) / middle_band; triggers when < 0.6× average
Mathematical Foundation: Regression to the mean—low volatility precedes high volatility
Signal Logic: When volatility compresses AND cumulative delta shows directional bias, anticipate breakout
2. Volume Profile Gaps (Thin Liquidity Zones)
Method: Identifies sharp volume transitions indicating few limit orders
Formula: if volume < vol_avg × 0.5 AND volume < vol_avg × 0.5 AND volume > vol_avg × 1.5
Interpretation: Sudden volume drop after spike indicates price moved through order book to low-opposition area
Signal Logic: Price accelerates through low-liquidity zones
3. Stop Hunts (Liquidity Grabs Before Reversals)
Method: Detects new 20-bar highs/lows with immediate reversal and rejection wick
Formula: if new_high AND close < high - (high - low) × 0.6: score += 3.0
Mechanism: Market makers push price to trigger stop-loss clusters, then reverse
Signal Logic: Enter reversal after stop-hunt completes
Why It Works: Order book theory shows price moves fastest through zones with minimal liquidity. By identifying these zones before major moves, this agent provides early entry for high-reward breakouts.
Parameter: i_liquidity (sensitivity 0.5-2.0)
Best Markets: Range-bound pre-breakout setups, volatility compression zones, instruments prone to gap moves
Agent 4: 📊 Mean Reversion (Statistical Arbitrage Engine)
Theoretical Basis: Statistical arbitrage theory, Ornstein-Uhlenbeck mean-reverting processes, and pairs trading methodology applied to single instruments.
What It Detects:
1. Z-Score Extremes (Standard Deviation Analysis)
Method: Calculates price distance from 20-period and 50-period SMAs in standard deviation units
Formula: zscore_20 = (close - SMA20) / StdDev(50)
Statistical Interpretation: Z-score >2.0 means price is 2 standard deviations above mean (97.5th percentile)
Trigger Logic: if abs(zscore_20) > 2.0: score += zscore_20 > 0 ? -1.5 : 1.5 (fade extremes)
2. Ornstein-Uhlenbeck Process (Mean-Reverting Stochastic Model)
Method: Models price as mean-reverting stochastic process: dx = θ(μ - x)dt + σdW
Implementation: Calculates spread = close - SMA20, then z-score of spread vs. spread distribution
Formula: ou_signal = (spread - spread_mean) / spread_std
Interpretation: Measures "tension" pulling price back to equilibrium
3. Correlation Breakdown (Regime Change Detection)
Method: Compares 50-period price-volume correlation to 10-period correlation
Formula: corr_breakdown = abs(typical_corr - recent_corr) > 0.5
Enhancement: if corr_breakdown AND abs(zscore_20) > 1.0: score += zscore_20 > 0 ? -1.2 : 1.2
Why It Works: Mean reversion is the oldest quantitative strategy (1970s pairs trading at Morgan Stanley). While simple, it remains effective because markets exhibit periodic equilibrium-seeking behavior. This agent applies rigorous statistical testing to identify when mean reversion probability is highest.
Parameter: i_statarb (sensitivity 0.5-2.0)
Best Markets: Range-bound instruments, low-volatility periods (VIX <15), algo-dominated markets (forex majors, index futures)
Multi-Armed Bandit System: 15 Algorithms Explained
What Is a Multi-Armed Bandit Problem?
Origin: Named after slot machines ("one-armed bandits"). Imagine facing multiple slot machines, each with unknown payout rates. How do you maximize winnings?
Formal Definition: K arms (agents), each with unknown reward distribution with mean μᵢ. Goal: Maximize cumulative reward over T trials. Challenge: Balance exploration (trying uncertain arms to learn quality) vs. exploitation (using known-best arm for immediate reward).
Trading Application: Each agent is an "arm." After each trade, receive reward (P&L). Must decide which agent to trust for next signal.
Algorithm Categories
Bayesian Approaches (probabilistic, optimal for stationary environments):
Thompson Sampling
Bootstrapped Thompson Sampling
Discounted Thompson Sampling
Frequentist Approaches (confidence intervals, deterministic):
UCB1
UCB1-Tuned
KL-UCB
SW-UCB (Sliding Window)
D-UCB (Discounted)
Adversarial Approaches (robust to non-stationary environments):
EXP3-IX
Hedge
FPL-Gumbel
Reinforcement Learning Approaches (leverage learned state-action values):
Q-Values (from Q-Learning)
Policy Network (from Policy Gradient)
Simple Baseline:
Epsilon-Greedy
Softmax
Key Algorithm Details
Thompson Sampling (DEFAULT - RECOMMENDED)
Theoretical Foundation: Bayesian decision theory with conjugate priors. Published by Thompson (1933), rediscovered for bandits by Chapelle & Li (2011).
How It Works:
Model each agent's reward distribution as Beta(α, β) where α = wins, β = losses
Each step, sample from each agent's beta distribution: θᵢ ~ Beta(αᵢ, βᵢ)
Select agent with highest sample: argmaxᵢ θᵢ
Update winner's distribution after observing outcome
Mathematical Properties:
Optimality: Achieves logarithmic regret O(K log T) (proven optimal)
Bayesian: Maintains probability distribution over true arm means
Automatic Balance: High uncertainty → more exploration; high certainty → exploitation
⚠️ CRITICAL APPROXIMATION: This is a pseudo-random approximation of true Thompson Sampling. True implementation requires random number generation from beta distributions, which Pine Script doesn't provide. This version uses Box-Muller transform with market data (price/volume decimal digits) as entropy source. While not mathematically pure, it maintains core exploration-exploitation balance and learns agent preferences effectively.
When To Use: Best all-around choice. Handles non-stationary markets reasonably well, balances exploration naturally, highly sample-efficient.
UCB1 (Upper Confidence Bound)
Formula: UCB_i = reward_mean_i + sqrt(2 × ln(total_pulls) / pulls_i)
Interpretation: First term (exploitation) + second term (exploration bonus for less-tested arms)
Mathematical Properties:
Deterministic : Always selects same arm given same state
Regret Bound: O(K log T) — same optimality as Thompson Sampling
Interpretable: Can visualize confidence intervals
When To Use: Prefer deterministic behavior, want to visualize uncertainty, stable markets
EXP3-IX (Exponential Weights - Adversarial)
Theoretical Foundation: Adversarial bandit algorithm. Assumes environment may be actively hostile (worst-case analysis).
How It Works:
Maintain exponential weights: w_i = exp(η × cumulative_reward_i)
Select agent with probability proportional to weights: p_i = (1-γ)w_i/Σw_j + γ/K
After outcome, update with importance weighting: estimated_reward = observed_reward / p_i
Mathematical Properties:
Adversarial Regret: O(sqrt(TK log K)) even if environment is adversarial
No Assumptions: Doesn't assume stationary or stochastic reward distributions
Robust: Works even when optimal arm changes continuously
When To Use: Extreme non-stationarity, don't trust reward distribution assumptions, want robustness over efficiency
KL-UCB (Kullback-Leibler Upper Confidence Bound)
Theoretical Foundation: Uses KL-divergence instead of Hoeffding bounds. Tighter confidence intervals.
Formula (conceptual): Find largest q such that: n × KL(p||q) ≤ ln(t) + 3×ln(ln(t))
Mathematical Properties:
Tighter Bounds: KL-divergence adapts to reward distribution shape
Asymptotically Optimal: Better constant factors than UCB1
Computationally Intensive: Requires iterative binary search (15 iterations)
When To Use: Maximum sample efficiency needed, willing to pay computational cost, long-term trading (>500 bars)
Q-Values & Policy Network (RL-Based Selection)
Unique Feature: Instead of treating agents as black boxes with scalar rewards, these algorithms leverage the full RL state representation .
Q-Values Selection:
Uses learned Q-values: Q(state, agent_i) from Q-Learning
Selects agent via softmax over Q-values for current market state
Advantage: Selects based on state-conditional quality (which agent works best in THIS market state)
Policy Network Selection:
Uses neural network policy: π(agent | state, θ) from Policy Gradient
Direct policy over agents given market features
Advantage: Can learn non-linear relationships between market features and agent quality
When To Use: After 200+ RL updates (Q-Values) or 500+ updates (Policy Network) when models converged
Machine Learning & Reinforcement Learning Stack
Why Both Bandits AND Reinforcement Learning?
Critical Distinction:
Bandits treat agents as contextless black boxes: "Agent 2 has 60% win rate"
Reinforcement Learning adds state context: "Agent 2 has 60% win rate WHEN trend_score > 2 and RSI < 40"
Power of Combination: Bandits provide fast initial learning with minimal assumptions. RL provides state-dependent policies for superior long-term performance.
Component 1: Q-Learning (Value-Based RL)
Algorithm: Temporal Difference Learning with Bellman equation.
State Space: 54 discrete states formed from:
trend_state = {0: bearish, 1: neutral, 2: bullish} (3 values)
volatility_state = {0: low, 1: normal, 2: high} (3 values)
RSI_state = {0: oversold, 1: neutral, 2: overbought} (3 values)
volume_state = {0: low, 1: high} (2 values)
Total states: 3 × 3 × 3 × 2 = 54 states
Action Space: 5 actions (No trade, Agent 1, Agent 2, Agent 3, Agent 4)
Total state-action pairs: 54 × 5 = 270 Q-values
Bellman Equation:
Q(s,a) ← Q(s,a) + α ×
Parameters:
α (learning rate): 0.01-0.50, default 0.10 - Controls step size for updates
γ (discount factor): 0.80-0.99, default 0.95 - Values future rewards
ε (exploration): 0.01-0.30, default 0.10 - Probability of random action
Update Mechanism:
Position opens with state s, action a (selected agent)
Every bar position is open: Calculate floating P&L → scale to reward
Perform online TD update
When position closes: Perform terminal update with final reward
Gradient Clipping: TD errors clipped to ; Q-values clipped to for stability.
Why It Works: Q-Learning learns "quality" of each agent in each market state through trial and error. Over time, builds complete state-action value function enabling optimal state-dependent agent selection.
Component 2: TD(λ) Learning (Temporal Difference with Eligibility Traces)
Enhancement Over Basic Q-Learning: Credit assignment across multiple time steps.
The Problem TD(λ) Solves:
Position opens at t=0
Market moves favorably at t=3
Position closes at t=8
Question: Which earlier decisions contributed to success?
Basic Q-Learning: Only updates Q(s₈, a₈) ← reward
TD(λ): Updates ALL visited state-action pairs with decayed credit
Eligibility Trace Formula:
e(s,a) ← γ × λ × e(s,a) for all s,a (decay all traces)
e(s_current, a_current) ← 1 (reset current trace)
Q(s,a) ← Q(s,a) + α × TD_error × e(s,a) (update all with trace weight)
Lambda Parameter (λ): 0.5-0.99, default 0.90
λ=0: Pure 1-step TD (only immediate next state)
λ=1: Full Monte Carlo (entire episode)
λ=0.9: Balance (recommended)
Why Superior: Dramatically faster learning for multi-step tasks. Q-Learning requires many episodes to propagate rewards backwards; TD(λ) does it in one.
Component 3: Policy Gradient (REINFORCE with Baseline)
Paradigm Shift: Instead of learning value function Q(s,a), directly learn policy π(a|s).
Policy Network Architecture:
Input: 12 market features
Hidden: None (linear policy)
Output: 5 actions (softmax distribution)
Total parameters: 12 features × 5 actions + 5 biases = 65 parameters
Feature Set (12 Features):
Price Z-score (close - SMA20) / ATR
Volume ratio (volume / vol_avg - 1)
RSI deviation (RSI - 50) / 50
Bollinger width ratio
Trend score / 4 (normalized)
VWAP deviation
5-bar price ROC
5-bar volume ROC
Range/ATR ratio - 1
Price-volume correlation (20-period)
Volatility ratio (ATR / ATR_avg - 1)
EMA50 deviation
REINFORCE Update Rule:
θ ← θ + α × ∇log π(a|s) × advantage
where advantage = reward - baseline (variance reduction)
Why Baseline? Raw rewards have high variance. Subtracting baseline (running average) centers rewards around zero, reducing gradient variance by 50-70%.
Learning Rate: 0.001-0.100, default 0.010 (much lower than Q-Learning because policy gradients have high variance)
Why Policy Gradient?
Handles 12 continuous features directly (Q-Learning requires discretization)
Naturally maintains exploration through probability distribution
Can converge to stochastic optimal policy
Component 4: Ensemble Meta-Learner (Stacking)
Architecture: Level-1 meta-learner combines Level-0 base learners (Q-Learning, TD(λ), Policy Gradient).
Three Meta-Learning Algorithms:
1. Simple Average (Baseline)
Final_prediction = (Q_prediction + TD_prediction + Policy_prediction) / 3
2. Weighted Vote (Reward-Based)
weight_i ← 0.95 × weight_i + 0.05 × (reward_i + 1)
3. Adaptive Weighting (Gradient-Based) — RECOMMENDED
Loss Function: L = (y_true - ŷ_ensemble)²
Gradient: ∂L/∂weight_i = -2 × (y_true - ŷ_ensemble) × agent_contribution_i
Updates weights via gradient descent with clipping and normalization
Why It Works: Unlike simple averaging, meta-learner discovers which base learner is most reliable in current regime. If Policy Gradient excels in trending markets while Q-Learning excels in ranging, meta-learner learns these patterns and weights accordingly.
Feature Importance Tracking
Purpose: Identify which of 12 features contribute most to successful predictions.
Update Rule: importance_i ← 0.95 × importance_i + 0.05 × |feature_i × reward|
Use Cases:
Feature selection: Drop low-importance features
Market regime detection: Importance shifts reveal regime changes
Agent tuning: If VWAP deviation has high importance, consider boosting agents using VWAP
RL Position Tracking System
Critical Innovation: Proper reinforcement learning requires tracking which decisions led to outcomes.
State Tracking (When Signal Validates):
active_rl_state ← current_market_state (0-53)
active_rl_action ← selected_agent (1-4)
active_rl_entry ← entry_price
active_rl_direction ← 1 (long) or -1 (short)
active_rl_bar ← current_bar_index
Online Updates (Every Bar Position Open):
floating_pnl = (close - entry) / entry × direction
reward = floating_pnl × 10 (scale to meaningful range)
reward = clip(reward, -5.0, 5.0)
Update Q-Learning, TD(λ), and Policy Gradient
Terminal Update (Position Close):
Final Q-Learning update (no next Q-value, terminal state)
Update meta-learner with final result
Update agent memory
Clear position tracking
Exit Conditions:
Time-based: ≥3 bars held (minimum hold period)
Stop-loss: 1.5% adverse move
Take-profit: 2.0% favorable move
Market Microstructure Filters
Why Microstructure Matters
Traditional technical analysis assumes fair, efficient markets. Reality: Markets have friction, manipulation, and information asymmetry. Microstructure filters detect when market structure indicates adverse conditions.
Filter 1: VPIN (Volume-Synchronized Probability of Informed Trading)
Theoretical Foundation: Easley, López de Prado, & O'Hara (2012). "Flow Toxicity and Liquidity in a High-Frequency World."
What It Measures: Probability that current order flow is "toxic" (informed traders with private information).
Calculation:
Classify volume as buy or sell (close > close = buy volume)
Calculate imbalance over 20 bars: VPIN = |Σ buy_volume - Σ sell_volume| / Σ total_volume
Compare to moving average: toxic = VPIN > VPIN_MA(20) × sensitivity
Interpretation:
VPIN < 0.3: Normal flow (uninformed retail)
VPIN 0.3-0.4: Elevated (smart money active)
VPIN > 0.4: Toxic flow (informed institutions dominant)
Filter Logic:
Block LONG when: VPIN toxic AND price rising (don't buy into institutional distribution)
Block SHORT when: VPIN toxic AND price falling (don't sell into institutional accumulation)
Adaptive Threshold: If VPIN toxic frequently, relax threshold; if rarely toxic, tighten threshold. Bounded .
Filter 2: Toxicity (Kyle's Lambda Approximation)
Theoretical Foundation: Kyle (1985). "Continuous Auctions and Insider Trading."
What It Measures: Price impact per unit volume — market depth and informed trading.
Calculation:
price_impact = (close - close ) / sqrt(Σ volume over 10 bars)
impact_zscore = (price_impact - impact_mean) / impact_std
toxicity = abs(impact_zscore)
Interpretation:
Low toxicity (<1.0): Deep liquid market, large orders absorbed easily
High toxicity (>2.0): Thin market or informed trading
Filter Logic: Block ALL SIGNALS when toxicity > threshold. Most dangerous when price breaks from VWAP with high toxicity.
Filter 3: Regime Filter (Counter-Trend Protection)
Purpose: Prevent counter-trend trades during strong trends.
Trend Scoring:
trend_score = 0
trend_score += close > EMA8 ? +1 : -1
trend_score += EMA8 > EMA21 ? +1 : -1
trend_score += EMA21 > EMA50 ? +1 : -1
trend_score += close > EMA200 ? +1 : -1
Range:
Regime Classification:
Strong Bull: trend_score ≥ +3 → Block all SHORT signals
Strong Bear: trend_score ≤ -3 → Block all LONG signals
Neutral: -2 ≤ trend_score ≤ +2 → Allow both directions
Filter 4: Liquidity Boost (Signal Enhancer)
Unique: Unlike other filters (which block), this amplifies signals during low liquidity.
Logic: if volume < vol_avg × 0.7: agent_scores × 1.2
Why It Works: Low liquidity often precedes explosive moves (breakouts). By increasing agent sensitivity during compression, system catches pre-breakout signals earlier.
Technical Implementation & Approximations
⚠️ Critical Approximations Required by Pine Script
1. Thompson Sampling: Pseudo-Random Beta Distribution
Academic Standard: True random sampling from beta distributions using cryptographic RNG
This Implementation: Box-Muller transform for normal distribution using market data (price/volume decimal digits) as entropy source, then scale to beta distribution mean/variance
Impact: Not cryptographically random, may have subtle biases in specific price ranges, but maintains correct mean and approximate variance. Sufficient for bandit agent selection.
2. VPIN: Simplified Volume Classification
Academic Standard: Lee-Ready algorithm or exchange-provided aggressor flags with tick-by-tick data
This Implementation: Bar-based classification: if close > close : buy_volume += volume
Impact: 10-15% precision loss. Works well in directional markets, misclassifies in choppy conditions. Still captures order flow imbalance signal.
3. Policy Gradient: Simplified Per-Action Updates
Academic Standard: Full softmax gradient updating all actions (selected action UP, others DOWN proportionally)
This Implementation: Only updates selected action's weights
Impact: Valid approximation for small action spaces (5 actions). Slower convergence than full softmax but still learns optimal policy.
4. Kyle's Lambda: Simplified Price Impact
Academic Standard: Regression over multiple time scales with signed order flow
This Implementation: price_impact = Δprice_10 / sqrt(Σvolume_10); z_score calculation
Impact: 15-20% precision loss. No proper signed order flow. Still detects informed trading signals at extremes (>2σ).
5. Other Simplifications:
Hawkes Process: Fixed exponential decay (0.9) not MLE-optimized
Entropy: Ratio approximation not true Shannon entropy H(X) = -Σ p(x)·log₂(p(x))
Feature Engineering: 12 features vs. potential 100+ with polynomial interactions
RL Hybrid Updates: Both online and terminal (non-standard but empirically effective)
Overall Precision Loss Estimate: 10-15% compared to academic implementations with institutional data feeds.
Practical Trade-off: For retail trading with OHLCV data, these approximations provide 90%+ of the edge while maintaining full transparency, zero latency, no external dependencies, and runs on any TradingView plan.
How to Use: Practical Guide
Initial Setup (5 Minutes)
Select Trading Mode: Start with "Balanced" for most users
Enable ML/RL System: Toggle to TRUE, select "Full Stack" ML Mode
Bandit Configuration: Algorithm: "Thompson Sampling", Mode: "Switch" or "Blend"
Microstructure Filters: Enable all four filters, enable "Adaptive Microstructure Thresholds"
Visual Settings: Enable dashboard (Top Right), enable all chart visuals
Learning Phase (First 50-100 Signals)
What To Monitor:
Agent Performance Table: Watch win rates develop (target >55%)
Bandit Weights: Should diverge from uniform (0.25 each) after 20-30 signals
RL Core Metrics: "RL Updates" should increase when position open
Filter Status: "Blocked" count indicates filter activity
Optimization Tips:
Too few signals: Lower min_confidence to 0.25, increase agent sensitivities to 1.1-1.2
Too many signals: Raise min_confidence to 0.35-0.40, decrease agent sensitivities to 0.8-0.9
One agent dominates (>70%): Consider "Lock Agent" feature
Signal Interpretation
Dashboard Signal Status:
⚪ WAITING FOR SIGNAL: No agent signaling
⏳ ANALYZING...: Agent signaling but not confirmed
🟡 CONFIRMING 2/3: Building confirmation (2 of 3 bars)
🟢 LONG ACTIVE : Validated long entry
🔴 SHORT ACTIVE : Validated short entry
Kill Zone Boxes: Entry price (triangle marker), Take Profit (Entry + 2.5× ATR), Stop Loss (Entry - 1.5× ATR). Risk:Reward = 1:1.67
Risk Management
Position Sizing:
Risk per trade = 1-2% of capital
Position size = (Capital × Risk%) / (Entry - StopLoss)
Stop-Loss Placement:
Initial: Entry ± 1.5× ATR (shown in kill zone)
Trailing: After 1:1 R:R achieved, move stop to breakeven
Take-Profit Strategy:
TP1 (2.5× ATR): Take 50% off
TP2 (Runner): Trail stop at 1× ATR or use opposite signal as exit
Memory Persistence
Why Save Memory: Every chart reload resets the system. Saving learned parameters preserves weeks of learning.
When To Save: After 200+ signals when agent weights stabilize
What To Save: From Memory Export panel, copy all alpha/beta/weight values and adaptive thresholds
How To Restore: Enable "Restore From Saved State", input all values into corresponding fields
What Makes This Original
Innovation 1: Genuine Multi-Armed Bandit Framework
This implements 15 mathematically rigorous bandit algorithms from academic literature (Thompson Sampling from Chapelle & Li 2011, UCB family from Auer et al. 2002, EXP3 from Auer et al. 2002, KL-UCB from Garivier & Cappé 2011). Each algorithm maintains proper state, updates according to proven theory, and converges to optimal behavior. This is real learning, not superficial parameter changes.
Innovation 2: Full Reinforcement Learning Stack
Beyond bandits learning which agent works best globally, RL learns which agent works best in each market state. After 500+ positions, system builds 54-state × 5-action value function (270 learned parameters) capturing context-dependent agent quality.
Innovation 3: Market Microstructure Integration
Combines retail technical analysis with institutional-grade microstructure metrics: VPIN from Easley, López de Prado, O'Hara (2012), Kyle's Lambda from Kyle (1985), Hawkes Processes from Hawkes (1971). These detect informed trading, manipulation, and liquidity dynamics invisible to technical analysis.
Innovation 4: Adaptive Threshold System
Dynamic quantile-based thresholds: Maintains histogram of each agent's score distribution (24 bins, exponentially decayed), calculates 80th percentile threshold from histogram. Agent triggers only when score exceeds its own learned quantile. Proper non-parametric density estimation automatically adapts to instrument volatility, agent behavior shifts, and market regime changes.
Innovation 5: Episodic Memory with Transfer Learning
Dual-layer architecture: Short-term memory (last 20 trades, fast adaptation) + Long-term memory (condensed episodes, historical patterns). Transfer mechanism consolidates knowledge when STM reaches threshold. Mimics hippocampus → neocortex consolidation in human memory.
Limitations & Disclaimers
General Limitations
No Predictive Guarantee: Pattern recognition ≠ prediction. Past performance ≠ future results.
Learning Period Required: Minimum 50-100 bars for reliable statistics. Initial performance may be suboptimal.
Overfitting Risk: System learns patterns in historical data. May not generalize to unprecedented conditions.
Approximation Limitations: See technical implementation section (10-15% precision loss vs. academic standards)
Single-Instrument Limitation: No multi-asset correlation, sector context, or VIX integration.
Forward-Looking Bias Disclaimer
CRITICAL TRANSPARENCY: The RL system uses an 8-bar forward-looking window for reward calculation.
What This Means: System learns from rewards incorporating future price information (bars 101-108 relative to entry at bar 100).
Why Acceptable:
✅ Signals do NOT look ahead: Entry decisions use only data ≤ entry bar
✅ Learning only: Forward data used for optimization, not signal generation
✅ Real-time mirrors backtest: In live trading, system learns identically
⚠️ Implication: Dashboard "Agent Win%" reflects this 8-bar evaluation. Real-time performance may differ slightly if positions held longer, slippage/fees not captured, or market microstructure changes.
Risk Warnings
No Guarantee of Profit: All trading involves risk of loss
System Failures: Bugs possible despite extensive testing
Market Conditions: Optimized for liquid markets (>100k daily volume). Performance degrades in illiquid instruments, major news events, flash crashes
Broker-Specific Issues: Execution slippage, commission/fees, overnight financing costs
Appropriate Use
This Indicator Is:
✅ Entry trigger system
✅ Risk management framework (stop/target)
✅ Adaptive agent selection engine
✅ Learning system that improves over time
This Indicator Is NOT:
❌ Complete trading strategy (requires position sizing, portfolio management)
❌ Replacement for fundamental analysis
❌ Guaranteed profit generator
❌ Suitable for complete beginners without training
Recommended Complementary Analysis: Market context (support/resistance), volume profile, fundamental catalysts, correlation with related instruments, broader market regime
Recommended Settings by Instrument
Stocks (Large Cap, >$1B):
Mode: Balanced | ML/RL: Enabled, Full Stack | Bandit: Thompson Sampling, Switch
Agent Sensitivity: Spoofing 1.0-1.2, Exhaustion 0.9-1.1, Liquidity 0.8-1.0, StatArb 1.1-1.3
Microstructure: All enabled, VPIN 1.2, Toxicity 1.5 | Timeframe: 15min-1H
Forex Majors (EURUSD, GBPUSD):
Mode: Balanced to Conservative | ML/RL: Enabled, Full Stack | Bandit: Thompson Sampling, Blend
Agent Sensitivity: Spoofing 0.8-1.0, Exhaustion 0.9-1.1, Liquidity 0.7-0.9, StatArb 1.2-1.5
Microstructure: All enabled, VPIN 1.0-1.1, Toxicity 1.3-1.5 | Timeframe: 5min-30min
Crypto (BTC, ETH):
Mode: Aggressive to Balanced | ML/RL: Enabled, Full Stack | Bandit: Thompson Sampling OR EXP3-IX
Agent Sensitivity: Spoofing 1.2-1.5, Exhaustion 1.1-1.3, Liquidity 1.2-1.5, StatArb 0.7-0.9
Microstructure: All enabled, VPIN 1.4-1.6, Toxicity 1.8-2.2 | Timeframe: 15min-4H
Futures (ES, NQ, CL):
Mode: Balanced | ML/RL: Enabled, Full Stack | Bandit: UCB1 or Thompson Sampling
Agent Sensitivity: All 1.0-1.2 (balanced)
Microstructure: All enabled, VPIN 1.1-1.3, Toxicity 1.4-1.6 | Timeframe: 5min-30min
Conclusion
Algorithm Predator - Pro synthesizes academic research from market microstructure theory, reinforcement learning, and multi-armed bandit algorithms. Unlike typical indicator mashups, this system implements 15 mathematically rigorous bandit algorithms, deploys a complete RL stack (Q-Learning, TD(λ), Policy Gradient), integrates institutional microstructure metrics (VPIN, Kyle's Lambda), adapts continuously through dual-layer memory and meta-learning, and provides full transparency on approximations and limitations.
The system is designed for serious algorithmic traders who understand that no indicator is perfect, but through proper machine learning, we can build systems that improve over time and adapt to changing markets without manual intervention.
Use responsibly. Risk disclosure applies. Past performance ≠ future results.
Taking you to school. — Dskyz, Trade with insight. Trade with anticipation.
SRD
SRD v11 - Multi-Timeframe Volume Profile (POC, VAH, VAL)
Key Features
Dual Timeframe Analysis:
📈 Main Analysis (Daily): Calculates and displays the most significant levels based on a user-defined period of daily bars. This is ideal for identifying intraday and short-term trading opportunities.
📊 Strategic Analysis (Weekly): Plots key levels from a weekly perspective, giving you a broader, long-term view of market sentiment and structure. This can be toggled on or off.
Volume Profile Core Levels: The indicator automatically calculates and visualizes the three most important levels derived from volume analysis for both timeframes:
🎯 POC (Point of Control): The price level with the highest traded volume for the specified period. It acts as a powerful magnet for price and a key reference for market equilibrium.
🔴 VAH (Value Area High): The highest price level within the "Value Area" (where ~70% of the volume was traded). It often acts as a significant resistance zone.
🟢 VAL (Value Area Low): The lowest price level within the Value Area. It often serves as a strong support zone.
🟠 24-Hour High: An optional feature that plots the highest price reached in the last 24 hours, providing a crucial reference point for breakout and reversal traders.
Dynamic and Non-Repainting: The levels are calculated based on historical confirmed bars and update automatically as new periods (daily or weekly) close. The lines extend to the right, remaining relevant until a new calculation period begins.
Integrated Alert System: Never miss a key price interaction. The indicator includes a comprehensive alert system for:
Breakouts: Triggers when the price crosses above or below the POC, VAH, or VAL.
Touches: Triggers when the price touches one of these key levels without breaking through it (within a small tolerance).
Unified Alert: A single alert that notifies you of any of the above conditions.
Customization
The SRD v11 is fully customizable to fit your trading style. You can adjust:
Timeframes: Change the base timeframes for both the main (default Daily) and strategic (default Weekly) analysis.
Analysis Periods: Define the number of bars (days or weeks) to include in the Volume Profile calculation.
Visuals: Customize the color, width, and style (solid, dashed, dotted) of every line and label for clear and intuitive visualization.
Toggle Elements: Easily show or hide the strategic (weekly) analysis and the 24-hour high line.
How to Use It >
Identify Key Zones: Use the VAH (resistance) and VAL (support) lines to identify potential entry and exit zones. The area between VAH and VAL is the "Value Area," where the market has found acceptance.
Monitor the POC: The Point of Control is the ultimate level of equilibrium. Watch for price reactions around the POC. A sustained break above or below can signal a new trend.
Combine Timeframes: Use the strategic (weekly) levels as major, long-term points of interest and the main (daily) levels for your day-to-day trading setup. Confluence between levels from different timeframes can indicate extremely strong support or resistance.
Set Alerts: Configure alerts for breakouts or touches to be notified of critical market movements in real-time, even when you are away from the charts.
PheeTrades - Value Area Levels (VAH / VAL / POC Visualizer)This script helps traders quickly visualize key Volume Profile–style levels such as Value Area High (VAH), Value Area Low (VAL), and Point of Control (POC) using recent price and volume data.
While TradingView’s built-in Volume Profile tool is great for manual analysis, this indicator automatically calculates and plots approximate value zones directly on your chart — ideal for traders who want to identify high-probability support and resistance areas without drawing a fixed range every time.
Features:
Calculates short-term VAH, VAL, and POC based on a user-defined lookback period.
Plots color-coded levels for quick visual reference.
Helps identify “fair value” zones where most trading activity occurred.
Useful for detecting breakout or mean-reversion opportunities around value extremes.
How to use:
Apply the script to any chart and set your preferred lookback period.
VAH (red line): potential upper resistance or overbought zone.
VAL (green line): potential lower support or accumulation zone.
POC (orange line): price level with the highest traded activity — often a magnet for price.
Note:
This is a simplified Value Area model meant for educational and analytical use. It does not replace TradingView’s official Volume Profile or broker-level volume distribution data.
Advanced Range Analyzer ProAdvanced Range Analyzer Pro – Adaptive Range Detection & Breakout Forecasting
Overview
Advanced Range Analyzer Pro is a comprehensive trading tool designed to help traders identify consolidations, evaluate their strength, and forecast potential breakout direction. By combining volatility-adjusted thresholds, volume distribution analysis, and historical breakout behavior, the indicator builds an adaptive framework for navigating sideways price action. Instead of treating ranges as noise, this system transforms them into opportunities for mean reversion or breakout trading.
How It Works
The indicator continuously scans price action to identify active range environments. Ranges are defined by volatility compression, repeated boundary interactions, and clustering of volume near equilibrium. Once detected, the indicator assigns a strength score (0–100), which quantifies how well-defined and compressed the consolidation is.
Breakout probabilities are then calculated by factoring in:
Relative time spent near the upper vs. lower range boundaries
Historical breakout tendencies for similar structures
Volume distribution inside the range
Momentum alignment using auxiliary filters (RSI/MACD)
This creates a live probability forecast that updates as price evolves. The tool also supports range memory, allowing traders to analyze the last completed range after a breakout has occurred. A dynamic strength meter is displayed directly above each consolidation range, providing real-time insight into range compression and breakout potential.
Signals and Breakouts
Advanced Range Analyzer Pro includes a structured set of visual tools to highlight actionable conditions:
Range Zones – Gradient-filled boxes highlight active consolidations.
Strength Meter – A live score displayed in the dashboard quantifies compression.
Breakout Labels – Probability percentages show bias toward bullish or bearish continuation.
Breakout Highlights – When a breakout occurs, the range is marked with directional confirmation.
Dashboard Table – Displays current status, strength, live/last range mode, and probabilities.
These elements update in real time, ensuring that traders always see the current state of consolidation and breakout risk.
Interpretation
Range Strength : High scores (70–100) indicate strong consolidations likely to resolve explosively, while low scores suggest weak or choppy ranges prone to false signals.
Breakout Probability : Directional bias greater than 60% suggests meaningful breakout pressure. Equal probabilities indicate balanced compression, favoring mean-reversion strategies.
Market Context : Ranges aligned with higher timeframe trends often resolve in the dominant direction, while counter-trend ranges may lead to reversals or liquidity sweeps.
Volatility Insight : Tight ranges with low ATR imply imminent expansion; wide ranges signal extended consolidation or distribution phases.
Strategy Integration
Advanced Range Analyzer Pro can be applied across multiple trading styles:
Breakout Trading : Enter on probability shifts above 60% with confirmation of volume or momentum.
Mean Reversion : Trade inside ranges with high strength scores by fading boundaries and targeting equilibrium.
Trend Continuation : Focus on ranges that form mid-trend, anticipating continuation after consolidation.
Liquidity Sweeps : Use failed breakouts at boundaries to capture reversals.
Multi-Timeframe : Apply on higher timeframes to frame market context, then execute on lower timeframes.
Advanced Techniques
Combine with volume profiles to identify areas of institutional positioning within ranges.
Track sequences of strong consolidations for trend development or exhaustion signals.
Use breakout probability shifts in conjunction with order flow or momentum indicators to refine entries.
Monitor expanding/contracting range widths to anticipate volatility cycles.
Custom parameters allow fine-tuning sensitivity for different assets (crypto, forex, equities) and trading styles (scalping, intraday, swing).
Inputs and Customization
Range Detection Sensitivity : Controls how strictly ranges are defined.
Strength Score Settings : Adjust weighting of compression, volume, and breakout memory.
Probability Forecasting : Enable/disable directional bias and thresholds.
Gradient & Fill Options : Customize range visualization colors and opacity.
Dashboard Display : Toggle live vs last range, info table size, and position.
Breakout Highlighting : Choose border/zone emphasis on breakout events.
Why Use Advanced Range Analyzer Pro
This indicator provides a data-driven approach to trading consolidation phases, one of the most common yet underutilized market states. By quantifying range strength, mapping probability forecasts, and visually presenting risk zones, it transforms uncertainty into clarity.
Whether you’re trading breakouts, fading ranges, or mapping higher timeframe context, Advanced Range Analyzer Pro delivers a structured, adaptive framework that integrates seamlessly into multiple strategies.
Tick Ratio Simulator - Advanced Market Sentiment IndicatorOverview
The Tick Ratio Simulator is a sophisticated market sentiment indicator that provides real-time insights into buying and selling pressure dynamics. This proprietary indicator transforms complex market microstructure data into actionable trading signals.
Key Features
Real-Time Sentiment Analysis: Captures instantaneous shifts in market momentum
Multi-Timeframe Adaptability: Customizable calculation periods for any trading style
Visual Clarity: Color-coded histogram with dynamic zone highlighting
Integrated Alert System: Pre-configured alerts for key market transitions
Performance Dashboard: Live metrics display for informed decision-making
Trading Applications
✓ Trend Confirmation: Validate existing trends with momentum analysis
✓ Reversal Detection: Identify potential turning points at extreme readings
✓ Entry/Exit Timing: Optimize trade execution with overbought/oversold zones
✓ Risk Management: Clear visual boundaries for position sizing decisions
Signal Interpretation
Extreme Zones (±75): High probability reversal areas
Standard Thresholds (±50): Traditional overbought/oversold levels
Zero Line Crossings: Momentum shift confirmations
Histogram Expansion/Contraction: Strength of directional bias
Customization Options
Adjustable calculation and smoothing periods
Fully customizable color schemes
Toggle histogram and reference lines
Real-time information table positioning
Alert Conditions
Four pre-built alert templates for automated notifications:
Momentum threshold breaches
Directional changes
Extreme zone entries
Custom level crossovers
Best Practices
Works exceptionally well when combined with:
Volume analysis
Support/resistance levels
Price action patterns
Other momentum oscillators
Note: This indicator uses proprietary calculations to simulate institutional-grade tick analysis without requiring actual tick data feeds. Results are optimized for liquid markets with consistent volume profiles.
For optimal results, adjust parameters based on your specific instrument and timeframe. Past performance does not guarantee future results.
Fair Value Gap Suite Adrian V1.0.0Brief description
The “FVG Suite” identifies fair value gaps across multiple time units, evaluates them with a displacement score, optionally filters them according to market structure events (BOS/CHOCH), and provides context-based alerts for first touch, partial and full fills, and invalidation. The aim is to show only high-quality imbalances and trade them based on rules.
What makes the script unique (originality/added value)
Displacement score: Strength of the impulse movement as a combination of (body/ATR, range/ATR, volume Z-score).
MTF aggregator: FVGs from higher timeframes are collected, ranked, and displayed as zones on the active chart (including overlap clustering).
Structure context: Optionally, only FVGs after confirmed BOS/CHOCH in the trend direction, including premium/discount evaluation relative to the HTF range.
Adaptive invalidation: FVG expires after candles, opposing BOS or defined time (e.g., end of session).
Session/instrument filter: Time window (e.g., NY/LDN), minimum tick size, ATR-based minimum gap.
Smart fill logic: Distinguishes between first touch, partial fill (≥ %), full fill (100%); alarms per event.
Statistics overlay (optional): Hit rate/expectancy per TF & session for fine-tuning the filters.
How it works (conceptually)
FVG definition (3-candle pattern): Bullish if High < Low (bearish analog). Size = gap span in points.
Quality score:Score = w1*(|Body|/ATR) + w2*(Range/ATR) + w3*(Volume-Z), normalized to 0–100.
MTF scan: List of higher TFs: (customizable). Findings are merged, ranked, and displayed as zones with priority (color/opacity).
Context filter: Only FVGs that emerge after BOS/CHOCH in the direction of the current trend; optional exclusion in premium/discount areas.
Invalidation & alerts: A zone is considered active until the invalidation rule takes effect. Alerts are triggered upon: initial contact, partial/full filling, invalidation.
Important inputs
Min. FVG size: × ATRor ticks/points
Min. displacement score: (0–100)
MTF list:
BOS/CHOCH filter: On/Off (Lookback candles)
Session filter: NY/LDN/Asia (local time, weekend toggle)
Invalidation: maxBars = , Opposite BOS = On/Off, Session End = On/Off
Fill definitions: Partial fill ≥ % of the gap; Full fill = 100%
Overlay options: Zone color/transparency, HTF label, statistics overlay On/Off
Alerts (names & triggers)
FVG Suite – First Touch: Price touches an active FVG zone for the first time.
FVG Suite – Partial Fill: Partial fill ≥ configured threshold.
FVG Suite – Full Fill: Gap completely filled.
FVG Suite – Invalidated: Zone invalidated by rules. (Alert message contains: symbol, TF of the zone, direction, score, size, trigger rule.)
Use (best practices)
Trade in the trend direction with BOS/CHOCH filter; target counter-imbalances/liquidity pools.
Use session filters to avoid news spikes/illiquid periods.
Calibrate parameters for each market/TF (ATR/volume profiles differ).
Limitations
Structure labels can be reevaluated for new highs/lows (repainting of labels, not of FVG finds).
Spreads/news can generate “pseudo fills.”
Backtests/statistics are sample-dependent; no guarantee of results.
Changelog
v1.0 – First release (score model, MTF aggregator, BOS/CHOCH filter, fill alerts).
Credits
FVG concept: public ICT/SMC literature (general idea). Implementation/scoring, MTF ranking, smart fill logic: own development.
Note/disclaimer
No financial advice. For educational purposes only. Trading involves high risk; use stop losses and a fixed risk budget.
Fair Value Gap Suite Adrian V1.0.0Brief description
The “FVG Suite” identifies fair value gaps across multiple time units, evaluates them with a displacement score, optionally filters them according to market structure events (BOS/CHOCH), and provides context-based alerts for first touch, partial and full fills, and invalidation. The aim is to show only high-quality imbalances and trade them based on rules.
What makes the script unique (originality/added value)
Displacement score: Strength of the impulse movement as a combination of (body/ATR, range/ATR, volume Z-score).
MTF aggregator: FVGs from higher timeframes are collected, ranked, and displayed as zones on the active chart (including overlap clustering).
Structure context: Optionally, only FVGs after confirmed BOS/CHOCH in the trend direction, including premium/discount evaluation relative to the HTF range.
Adaptive invalidation: FVG expires after candles, opposing BOS or defined time (e.g., end of session).
Session/instrument filter: Time window (e.g., NY/LDN), minimum tick size, ATR-based minimum gap.
Smart fill logic: Distinguishes between first touch, partial fill (≥ %), full fill (100%); alarms per event.
Statistics overlay (optional): Hit rate/expectancy per TF & session for fine-tuning the filters.
How it works (conceptually)
FVG definition (3-candle pattern): Bullish if High < Low (bearish analog). Size = gap span in points.
Quality score:Score = w1*(|Body|/ATR) + w2*(Range/ATR) + w3*(Volume-Z), normalized to 0–100.
MTF scan: List of higher TFs: (customizable). Findings are merged, ranked, and displayed as zones with priority (color/opacity).
Context filter: Only FVGs that emerge after BOS/CHOCH in the direction of the current trend; optional exclusion in premium/discount areas.
Invalidation & alerts: A zone is considered active until the invalidation rule takes effect. Alerts are triggered upon: initial contact, partial/full filling, invalidation.
Important inputs
Min. FVG size: × ATRor ticks/points
Min. displacement score: (0–100)
MTF list:
BOS/CHOCH filter: On/Off (Lookback candles)
Session filter: NY/LDN/Asia (local time, weekend toggle)
Invalidation: maxBars = , Opposite BOS = On/Off, Session End = On/Off
Fill definitions: Partial fill ≥ % of the gap; Full fill = 100%
Overlay options: Zone color/transparency, HTF label, statistics overlay On/Off
Alerts (names & triggers)
FVG Suite – First Touch: Price touches an active FVG zone for the first time.
FVG Suite – Partial Fill: Partial fill ≥ configured threshold.
FVG Suite – Full Fill: Gap completely filled.
FVG Suite – Invalidated: Zone invalidated by rules. (Alert message contains: symbol, TF of the zone, direction, score, size, trigger rule.)
Use (best practices)
Trade in the trend direction with BOS/CHOCH filter; target counter-imbalances/liquidity pools.
Use session filters to avoid news spikes/illiquid periods.
Calibrate parameters for each market/TF (ATR/volume profiles differ).
Limitations
Structure labels can be reevaluated for new highs/lows (repainting of labels, not of FVG finds).
Spreads/news can generate “pseudo fills.”
Backtests/statistics are sample-dependent; no guarantee of results.
Changelog
v1.0 – First release (score model, MTF aggregator, BOS/CHOCH filter, fill alerts).
Credits
FVG concept: public ICT/SMC literature (general idea). Implementation/scoring, MTF ranking, smart fill logic: own development.
Note/disclaimer
No financial advice. For educational purposes only. Trading involves high risk; use stop losses and a fixed risk budget.
Ema With VoLume RangeEMA with Volume Range – Adaptive Trend, Trailing Stops & Volume Profile Zones
This sophisticated indicator integrates three powerful trading tools in a single overlay: a classic EMA200, precision ATR-based buy/sell signals, and a unique double-zone volume profile for deep market structure analysis. Ideal for swing traders, scalpers, and volume-driven investors seeking actionable, multi-dimensional price insights.
Core Features
EMA200 (Exponential Moving Average):
Plots a customizable EMA200 (blue line) for identifying primary trend direction and dynamic support/resistance.
Exponential smoothing is enabled by default for better tracking of recent price action.
ATR-Based Trailing Stop with Buy/Sell Signals:
Uses Average True Range (ATR) to set adaptive trailing stop levels that respond to current market volatility.
Buy and Sell signals (tiny green and red labels) trigger whenever price crosses the trailing stop for precise entries and exits.
All signals are alert-enabled for automated or semi-automated trading workflows.
Adjustable ATR multiplier and lookback for tuning responsiveness.
Dual Volume Range Zones & Profile Histogram:
Automatically highlights recent high/low price zones (upper and lower) using your lookback period and zone width settings.
Each zone is split into horizontal "bins," color-coded for buy/sell dominance and highlighting the Point of Control (POC)—the price with the most traded volume.
The indicator draws live volume histograms inside each zone, supplementing them with labels that show buy vs. sell volumes and POC statistics.
Adjustable bin count, transparency, colors, and histogram granularity to fit your visual preference.
Optional midlines and fair value drift line help visualize price equilibrium and value shifts over time.
How to Use
Trend Confirmation: Align trades with the EMA200—trade long above, short below, or wait for ATR-trailing stop triggers that coincide with the EMA bias.
Signal Generation: Use the ATR trailing stop Buy/Sell signals to spot shifts in volatility-adjusted direction early.
Volume Zone Analysis: Identify where the highest concentration of buy/sell activity occurred within the customizable upper/lower zones:
Use high volume bins and POC as magnets for price, support/resistance, or to confirm breakout/failure zones.
Leverage the fair value drift line and dynamic labels to detect changes in market sentiment and volume pressure.
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🧙♂ PTS WIZARD V3.0 - FINAL EDITION
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GoldenTradeClub
Jul 4
1. Indicator Presentation Name: 🧙♂ PTS WIZARD V3.0 – FINAL EDITION Short Title: PTS-WIZARD-V3-FINAL Type: Overlay trading dashboard for TradingView Purpose: A comprehensive multi-module indicator that blends classic cipher momentum signals, Elliott Wave pattern detection, advanced statistical analyses (Z-Score, Benford’s Law, Ehlers SNR), footprint-style volume...
🧙♂ PTS WIZARD V3.0 + FOOTPRINT ULTIMATE
GoldenTradeClub
GoldenTradeClub
Jul 4
Name: PTS WIZARD V3.0 + FOOTPRINT ULTIMATE Type: Overlay trading dashboard for TradingView Purpose: Combines classic cipher-style momentum signals with an advanced footprint volume profile, multi-timeframe bias, statistical filters, and a fusion-score system—displayed in a customizable on-chart dashboard. Core Modules Cipher Momentum Signals WaveTrend...
🧙♂ PTS WIZARD V3.0 - BASIC
GoldenTradeClub
GoldenTradeClub
Jul 1
PTS WIZARD V3.0 Basic – Ultimate Multi-Tool Trading Dashboard An all-in-one overlay combining classic cipher signals, Elliott Wave pattern detection, volume analytics, divergence spotting, and smart-entry timing—backed by advanced statistical filters and a live dashboard. Key Features Cipher Signals WaveTrend with overbought/oversold zones & cross signals RSI...
Trading Engine vCD AI
GoldenTradeClub
GoldenTradeClub
Jun 15
The Trading Engine includes the best and most effective technical analysis tools. It has 27 different Buy Signal parameters and 26 different Sell Signal parameters. Furthermore, it also has 9 Stop Loss triggers for Long Positions and 8 Stop Loss triggers for Short Positions. Many of the Buy or Sell Signal parameters function as Take Profit and Stop Loss signals...
Trading Engine vCD
GoldenTradeClub
GoldenTradeClub
Updated
Mar 21
The Trading Engine includes the best and most effective technical analysis tools. It has 27 different Buy Signal parameters and 26 different Sell Signal parameters. Furthermore, it also has 9 Stop Loss triggers for Long Positions and 8 Stop Loss triggers for Short Positions. Many of the Buy or Sell Signal parameters function as Take Profit and Stop Loss signals...
TE CLIENT v13
GoldenTradeClub
GoldenTradeClub
Updated
Mar 15
The Trading Engine includes the best and most effective technical analysis tools. It has 27 different Buy Signal parameters and 26 different Sell Signal parameters. Furthermore, it also has 9 Stop Loss triggers for Long Positions and 8 Stop Loss triggers for Short Positions. Many of the Buy or Sell Signal parameters function as Take Profit and Stop Loss signals...
Trading Engine v13
GoldenTradeClub
GoldenTradeClub
Updated
Mar 15
The Trading Engine includes the best and most effective technical analysis tools. It has 27 different Buy Signal parameters and 26 different Sell Signal parameters. Furthermore, it also has 9 Stop Loss triggers for Long Positions and 8 Stop Loss triggers for Short Positions. Many of the Buy or Sell Signal parameters function as Take Profit and Stop Loss signals...
Trading Engine B2B
GoldenTradeClub
GoldenTradeClub
Updated
Jan 14
The Trading Engine includes the best and most effective technical analysis tools. It has 25 different Buy Signal parameters and 24 different Sell Signal parameters. Furthermore, it also has 9 Stop Loss triggers for Long Positions and 8 Stop Loss triggers for Short Positions. Many of the Buy or Sell Signal parameters function as Take Profit and Stop Loss signals...
Trading Engine B2B FX V9
GoldenTradeClub
GoldenTradeClub
Updated
Jan 14
The VFLOW Trading Engine includes the best and most effective technical analysis tools. It has 20 different Buy Signal parameters and 18 different Sell Signal parameters. Furthermore, it also has 7 Stop Loss triggers for Long Positions and 5 Stop Loss triggers for Short Positions. Many of the Buy or Sell Signal parameters function as Take Profit and Stop Loss...
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Updated 3 hours ago
Institutional Analyst Board
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Jul 19
📊 Institutional Analyst Board – Smart Money Confluence Scanner for XAUUSD, Forex, Crypto
🔍 Overview
The Institutional Analyst Board is a complete multi-timeframe smart money toolkit designed for traders who demand clarity, confluence, and precision. It brings together institutional-grade metrics—Order Blocks (OB), Fair Value Gaps (FVG), Liquidity Sweeps, MACD/RSI bias, VWAP positioning, and Break of Structure (BoS)—into a single powerful visual dashboard.
This indicator is especially optimized for Gold (XAUUSD) but is also compatible with Crypto and Forex assets.
🧠 Key Features
✅ Multi-Timeframe Dashboard (5M / 15M / 1H)
✅ Order Block Detection with dynamic zones that extend until broken
✅ Fair Value Gap Detection with clear zone shading and border distinction
✅ MACD + RSI Confluence for momentum and bias alignment
✅ VWAP Positioning to identify premium/discount zones
✅ Liquidity Sweeps (internal/external range breaks)
✅ Killzone Highlighting (Asia / London / New York)
✅ Break of Structure (BoS) with advanced confluence filters
✅ Gold Bias Flags across timeframes (BUY / SELL / NEUTRAL)
✅ Dynamic Price Watermark with real-time data
✅ Fully customizable colors, transparencies, and text labels
🧠 How It Works
The Board uses institutional logic to analyze the chart in real time:
Metric Purpose
OB Zones Highlight potential smart money footprints where price is likely to react.
FVG Zones Identify imbalance areas between buyers and sellers—ideal for mean reversion entries.
MACD/RSI Confirm momentum direction and relative strength confluence.
VWAP Determine whether price is trading at a premium or discount.
Liquidity Sweeps Detect manipulative moves before major reversals.
BoS Mark potential trend reversals, filtered by institutional confluence.
Each signal is computed across 3 timeframes and visualized in a clean board that updates live. You’ll also see labels, alerts, and session overlays for maximum clarity.
📌 Ideal Use Case
This tool is perfect for:
Funded Challenge Traders (FTMO, MyForexFunds, etc.)
Gold scalpers and intraday traders
Crypto price action traders using BTC, ETH, SOL, etc.
Smart Money Concept (SMC) and ICT followers
⚙️ Customization Options
Toggle each module (OB, FVG, VWAP, MACD/RSI, etc.)
Set transparency and color for each zone type
Adjust Killzone timing (Asia, London, NY)
Control board position (Top/Bottom) and metric visibility
📈 Compatible Assets
✅ XAUUSD (optimized)
✅ Forex majors/minors
✅ Crypto pairs (BTC, ETH, SOL, etc.)
✅ Indices (GER40, NASDAQ, SPX with minor adaptation)
🛠️ Requirements
Use on TradingView v5
Set chart time to UTC+0 or UTC+3 for optimal Killzone accuracy
For crypto, redefine Killzone hours if needed (24/7 market)
🧠 Pro Tip
Pair this indicator with volume profile tools, CVD/Delta Flow, or Footprint overlays to build high-confidence trade setups with clear institutional confluence.
Quantum Dip Hunter | AlphaNattQuantum Dip Hunter | AlphaNatt
🎯 Overview
The Quantum Dip Hunter is an advanced technical indicator designed to identify high-probability buying opportunities when price temporarily dips below dynamic support levels. Unlike simple oversold indicators, this system uses a sophisticated quality scoring algorithm to filter out low-quality dips and highlight only the best entry points.
"Buy the dip" - but only the right dips. Not all dips are created equal.
⚡ Key Features
5 Detection Methods: Choose from Dynamic, Fibonacci, Volatility, Volume Profile, or Hybrid modes
Quality Scoring System: Each dip is scored from 0-100% based on multiple factors
Smart Filtering: Only signals above your quality threshold are displayed
Visual Effects: Glow, Pulse, and Wave animations for the support line
Risk Management: Automatic stop-loss and take-profit calculations
Real-time Statistics: Live dashboard showing current market conditions
📊 How It Works
The indicator calculates a dynamic support line using your selected method
When price dips below this line, it evaluates the dip quality
Quality score is calculated based on: trend alignment (30%), volume (20%), RSI (20%), momentum (15%), and dip depth (15%)
If the score exceeds your minimum threshold, a buy signal arrow appears
Stop-loss and take-profit levels are automatically calculated and displayed
🚀 Detection Methods Explained
Dynamic Support
Adapts to recent price action
Best for: Trending markets
Uses ATR-adjusted lowest points
Fibonacci Support
Based on 61.8% and 78.6% retracement levels
Best for: Pullbacks in strong trends
Automatically switches between fib levels
Volatility Support
Uses Bollinger Band methodology
Best for: Range-bound markets
Adapts to changing volatility
Volume Profile Support
Finds high-volume price levels
Best for: Identifying institutional support
Updates dynamically as volume accumulates
Hybrid Mode
Combines all methods for maximum accuracy
Best for: All market conditions
Takes the most conservative support level
⚙️ Key Settings
Dip Detection Engine
Detection Method: Choose your preferred support calculation
Sensitivity: Higher = more sensitive to price movements (0.5-3.0)
Lookback Period: How far back to analyze (20-200 bars)
Dip Depth %: Minimum dip size to consider (0.5-10%)
Quality Filters
Trend Filter: Only buy dips in uptrends when enabled
Minimum Dip Score: Quality threshold for signals (0-100%)
Trend Strength: Required trend score when filter is on
📈 Trading Strategies
Conservative Approach
Use Dynamic method with Trend Filter ON
Set minimum score to 80%
Risk:Reward ratio of 2:1 or higher
Best for: Swing trading
Aggressive Approach
Use Hybrid method with Trend Filter OFF
Set minimum score to 60%
Risk:Reward ratio of 1:1
Best for: Day trading
Scalping Setup
Use Volatility method
Set sensitivity to 2.0+
Focus on Target 1 only
Best for: Quick trades
🎨 Visual Customization
Color Themes:
Neon: Bright cyan/magenta for dark backgrounds
Ocean: Cool blues and teals
Solar: Warm yellows and oranges
Matrix: Classic green terminal look
Gradient: Smooth color transitions
Line Styles:
Solid: Clean, simple line
Glow: Adds depth with glow effect
Pulse: Animated breathing effect
Wave: Oscillating wave pattern
💡 Pro Tips
Start with the Trend Filter ON to avoid catching falling knives
Higher quality scores (80%+) have better win rates but fewer signals
Use Volume Profile method near major support/resistance levels
Combine with your favorite momentum indicator for confirmation
The pulse animation can help draw attention to key levels
⚠️ Important Notes
This indicator identifies potential entries, not guaranteed profits
Always use proper risk management
Works best on liquid instruments with good volume
Backtest your settings before live trading
Not financial advice - use at your own risk
📊 Statistics Panel
The live statistics panel shows:
Current detection method
Support level value
Trend direction
Distance from support
Current signal status
🤝 Support
Created by AlphaNatt
For questions or suggestions, please comment below!
Happy dip hunting! 🎯
Not financial advice, always do your own research
