Murrey Math Extremes ComparatorHOW IT WORKS
Creates two murrey math oscillators (hidden) one with 256 length another with 32 length and compare each other.
WHAT GIVE ME THIS SCRIPT
The script can give you very valuable information:
- Main Trend
- Pullbacks detections
- Extreme overbought oversold prices alerts
- Divergences
- Any timeframe usage
REFERENCES OF USAGE
Main Trend Indications
****The main trend is indicated with green(bull) or red(bears) small "triangles" on the bottom(bull) or the top(bears) of the chart.
*****To detect the Bull/Bear major trend the script use 256 murrey, if > 0 (green) we are uptrend in other cases we are downtrend
Pullback detection
****The pullbacks are indicated with Green(bull) or red(bears) medium "Arrows"
*****To detect pullbacks the system compare the long term murrey with the short term murrey, if long term is Green(green triangles)
*****so we are in a main bull trend, if the short term murrey make an extreme low then the pullback is indicated
*****The same for the short pullback, if long term murrey is RED and we have an extreme green short term murrey we shot a red arrow
Extreme Overbught/Oversold
****The extreme OO is indicated with fancy diamonds
*****To detect the Extremes price movements we combine the two murrey, if Long Term Murrey is overbought and short term murrey too
*****Then the diamond show on the screen obove or below based on the extreme if overbought or oversold
Strategy Resume:
Triangles indicate Major Trend Up/Down
Arrows Indicate Continuation pullbacks
Diamonds Indicate Extreme Prices
GUIDE HOW TO IMAGES
How it's works Behind Scene
"bear"に関するスクリプトを検索
MWho is in ControlWho is in Control.
This study shows who is in control by showing just the Bull side, the Bear side or a combined view. This study follows the same philosophy of simplicity I try to use as much as possible in my studies. The least number of parameters and as understandable as possible.
Len : length of the period
Signal : Signal to show change of trend
Disp Bull : Display/Hide Bull Side
Disp Bear : Display/Hide Bear Side
Disp Differential : Display/Hide the differential between Bulls and Bears.
: Volume Zone Oscillator & Price Zone Oscillator LB Update JRMThis is a simple update of Lazy Bear's " Indicators: Volume Zone Indicator & Price Zone Indicator" Script. PZO plots on the same indicator. The horizontal plot lines are taken primarily from two articles by Wahalil and Steckler "In The Volume Zone" May 2011, Stocks and Commodities and "Entering The Price Zone"June 2011, Stocks and Commodities. With both indicators on the same plot it is easier to see divergences between the indicators. I did add a plot line at 80 and -80 as well because that is getting into truly extreme price/volume territory where one might contemplate a close your eyes and sell or cover particularly if confirmed at a higher time frame with the expectation of some type of corrective move..
The inputs and plot lines can be edited as per Lazy Bear's original script and follows the original format. Many thanks to Lazy Bear.
SNIPER ORB V2# 🎯 SNIPER ORB TRADING CHEAT SHEET
## Quick Reference Guide for Live Trading
---
## 📊 VISUAL IDENTIFICATION GUIDE
```
═══════════════════════════════════════════════════════════════════
YOUR CHART AT A GLANCE
═══════════════════════════════════════════════════════════════════
🔵 BRIGHT BLUE LINES (3px) → 5min ORB High/Low
🔷 CYAN LINES (2px) → 15min ORB High/Low
🟣 PURPLE LINES (2px) → 30min ORB High/Low (PRIMARY)
🟢 GREEN DASHED LINES (1px) → Upside targets (1x, 2x, 3x from 30min ORB)
🔴 RED DASHED LINES (1px) → Downside targets (1x, 2x, 3x from 30min ORB)
🟡 GOLD LINE (2px) → Anchored VWAP (9:30 AM anchor for NY, 3:00 AM for London)
📋 INFO TABLE (top-right) → Shows live ORB ranges, VWAP price, status
═══════════════════════════════════════════════════════════════════
```
**KEY DIFFERENCE FROM OTHER ORB INDICATORS:**
- You see **ALL 3 ORB PERIODS SIMULTANEOUSLY** (5min, 15min, 30min)
- Targets calculated from **30min ORB ONLY** (not 5min or 15min)
- **NO BOX FILLS** - clean line-only display for sniper precision
- Auto-disappears at session end (no clutter from old sessions)
---
## 🔘 NEW FEATURE: ORB DISPLAY TOGGLES
**You now have FULL CONTROL over which ORB periods to display!**
```
In indicator settings → "ORB Display" section:
☑ Show 5min ORB → Toggle blue lines ON/OFF
☑ Show 15min ORB → Toggle cyan lines ON/OFF
☑ Show 30min ORB → Toggle purple lines ON/OFF
USE CASES:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
1. FOCUS MODE (30min only)
☐ 5min ☐ 15min ☑ 30min
→ Clean chart, just your primary trading range
→ Best for beginners or minimalist traders
2. EARLY WARNING MODE (5min + 30min)
☑ 5min ☐ 15min ☑ 30min
→ See early breaks with 5min, trade 30min confirmation
→ Reduces visual noise from 15min
3. CONFLUENCE MODE (all 3 ORBs)
☑ 5min ☑ 15min ☑ 30min
→ Maximum information, all alignment signals
→ For advanced traders seeking highest probability
4. INTRADAY SCALP MODE (5min only)
☑ 5min ☐ 15min ☐ 30min
→ Ultra-fast entries on 5min breaks
→ High-risk, high-frequency approach
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
💡 PRO TIP: Start with 30min only, then add 5min/15min as you gain experience
```
---
## 🎯 FIXED: ANCHORED VWAP (TIMESTAMP-BASED)
**The VWAP now anchors with SURGICAL PRECISION to the exact session start candle!**
```
LONDON SESSION:
• Anchors at the EXACT 3:00 AM ET candle
• Uses timestamp checking: hour == 3 AND minute == 0
• Resets every morning at London Open
NEW YORK SESSION:
• Anchors at the EXACT 9:30 AM ET candle
• Uses timestamp checking: hour == 9 AND minute == 30
• Resets every day at NY Open
WHAT THIS MEANS:
✅ VWAP starts accumulating from the first tick of the session
✅ No more "off by one bar" errors
✅ Institutional-grade VWAP anchoring
✅ Perfect alignment with your ORB start times
HOW TO VERIFY IT'S WORKING:
1. Load indicator on 1min or 5min chart
2. Find the exact 9:30 AM candle (NY) or 3:00 AM candle (London)
3. VWAP should START appearing from that exact bar
4. Not the bar before, not the bar after - THAT EXACT BAR
```
---
## ⏰ SESSION TIMING MATRIX
| Session | Start Time | 5min Complete | 15min Complete | 30min Complete | Session End |
|---------|-----------|---------------|----------------|----------------|-------------|
| **London** | 3:00 AM ET | 3:05 AM | 3:15 AM | 3:30 AM | 9:30 AM ET (disappears) |
| **New York** | 9:30 AM ET | 9:35 AM | 9:45 AM | 10:00 AM | 5:00 PM ET (disappears) |
**💡 GOLDEN RULES:**
1. **WAIT FOR 30MIN ORB TO COMPLETE** before trading targets (10:00 AM NY / 3:30 AM London)
2. Use 5min and 15min ORBs as **early warning signals** only
3. All ORB lines + VWAP **auto-delete** at session end (clean chart)
---
## 🎯 THE 3-ORB SYSTEM: HOW IT WORKS
### **Hierarchical ORB Structure**
```
TIME: 9:30 AM ─────────────────────────────────> 10:00 AM ──────> 5:00 PM
↓ ↓
SESSION START 30min ORB COMPLETE
(all 3 ORBs begin forming) (targets appear)
📍 5min ORB (9:30-9:35 AM): ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━>
Purpose: EARLY breakout signal, fastest-moving boundary
📍 15min ORB (9:30-9:45 AM): ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━>
Purpose: MID-TERM institutional reference level
📍 30min ORB (9:30-10:00 AM): ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━>
Purpose: PRIMARY TRADING RANGE - all targets calculated from this
🎯 TARGETS (10:00 AM onward): ▪ ▪ ▪ ▪ ▪ (1x, 2x, 3x from 30min ORB)
Purpose: Profit-taking levels based on 30min range
```
**Why 3 ORBs Instead of 1?**
- **5min ORB**: Captures early institutional positioning (first 5 minutes)
- **15min ORB**: Confirms directional bias (more stable than 5min)
- **30min ORB**: Full market digestion of overnight news + opening orders
- **Confluence = Higher Win Rate**: When all 3 align, breakouts are extremely reliable
---
## 🎯 THE 5 HIGH-PROBABILITY SETUPS
### **SETUP #1: TRIPLE ORB BREAKOUT CONFLUENCE** ⭐⭐⭐⭐⭐
```
CONDITIONS:
✅ 30min ORB complete (10:00 AM NY / 3:30 AM London)
✅ Price breaks ALL 3 ORBs simultaneously:
• 5min high/low (blue line)
• 15min high/low (cyan line)
• 30min high/low (purple line)
✅ VWAP confirms direction (below price = bullish, above = bearish)
✅ Volume spike on breakout candle
ENTRY: Close of breakout candle (must close beyond ALL 3 ORBs)
STOP: Inside 30min ORB at 30m low (long) or 30m high (short)
TARGET 1: First green/red dashed line (0.5x 30m range)
TARGET 2: Second target (1x 30m range)
TARGET 3: Third target (1.5x 30m range)
WIN RATE: 75-85% | R:R = 1:2.5 minimum
NOTES: When all 3 ORBs align, institutional order flow is unanimous
```
---
### **SETUP #2: 5MIN EARLY BREAKOUT → 30MIN CONFIRMATION** ⭐⭐⭐⭐
```
CONDITIONS:
✅ Price breaks 5min ORB first (blue line crossed)
✅ 15min ORB holds initially (cyan line not crossed yet)
✅ After 30min ORB completes, price breaks 30min boundary (purple)
✅ VWAP alignment confirms direction
✅ All 3 ORBs now broken in same direction
ENTRY: When 30min ORB breaks (purple line) + 5min/15min already broken
STOP: 30min ORB opposite boundary
TARGET 1-3: Standard targets from 30min ORB
WIN RATE: 70-80% | R:R = 1:2+
NOTES: 5min gave early warning, 30min confirms institutional commitment
```
---
### **SETUP #3: FALSE 5MIN BREAKOUT → 30MIN REVERSAL** ⭐⭐⭐⭐⭐
```
CONDITIONS:
✅ Price breaks 5min ORB (blue line)
✅ Fails to break 15min or 30min ORBs (cyan/purple lines hold)
✅ Price reverses back inside 5min ORB
✅ Then breaks OPPOSITE side of 30min ORB (purple line)
✅ VWAP flips to confirm new direction
ENTRY: When 30min ORB breaks in OPPOSITE direction of failed 5min break
STOP: Failed 5min breakout high/low (now a liquidity grab zone)
TARGET 1-3: Standard targets
WIN RATE: 80-90% | R:R = 1:3+ (trapped traders forced to exit)
NOTES: Most profitable setup - 5min breakout was liquidity hunt
```
---
### **SETUP #4: TIGHT COMPRESSION → EXPLOSION** ⭐⭐⭐⭐
```
CONDITIONS:
✅ All 3 ORBs tightly overlapping (5m, 15m, 30m within 50 points on YM)
✅ Range < 0.3% of price (very tight consolidation)
✅ VWAP sitting in middle of compression
✅ 30min ORB complete, price still inside all 3
ENTRY: Simultaneous break of ALL 3 ORBs + VWAP cross
STOP: Middle of compression zone
TARGET: 2x-4x normal targets (volatility expansion)
WIN RATE: 65-75% | R:R = 1:5+ (explosive breakout)
NOTES: Low volatility → high volatility shift, institutions coiling spring
```
---
### **SETUP #5: VWAP BOUNCE WITHIN 30MIN ORB** ⭐⭐⭐⭐
```
CONDITIONS:
✅ Price stayed inside 30min ORB for 1+ hours post-formation
✅ VWAP acting as dynamic support (long) or resistance (short)
✅ Price bouncing between VWAP and 30min ORB boundaries
✅ Clear rejection candles at VWAP
ENTRY: When price bounces off VWAP toward 30min ORB boundary
• Long: VWAP bounce up toward 30m high (purple)
• Short: VWAP rejection down toward 30m low (purple)
STOP: Beyond VWAP by 20 points
TARGET: 30min ORB opposite boundary
WIN RATE: 70-80% | R:R = 1:1.5-2
NOTES: Range-bound play, NOT for breakout traders
```
---
## 🛡️ RISK MANAGEMENT RULES
### **Position Sizing by ORB Range**
```
30min ORB Range | Stop Distance | Risk $500 (1%) | YM Contracts
-----------------|------------------|-----------------|-------------
< 50 points | 50 pts | $500 ÷ $250 = | 2 contracts
50-100 points | 100 pts | $500 ÷ $500 = | 1 contract
100-150 points | 150 pts | $500 ÷ $750 = | 0.66 (use 1)
150-200 points | 200 pts | $500 ÷ $1000 = | 0.5 (use 1)
> 200 points | Don't trade | Too wide | Skip setup
Formula: Risk $ ÷ (Stop Distance × $5 per YM point) = Max Contracts
```
### **The 3-Strike Rule (MANDATORY)**
```
✅ Trade 1: Full position size (based on 30m ORB range)
❌ Stop hit → Trade 2: HALF position size
❌ Stop hit → Trade 3: QUARTER position size
❌ Stop hit → DONE FOR THE DAY (no exceptions)
```
### **Profit Taking Ladder**
```
TARGET 1 (0.5x 30m range): Take 50% off, move stop to breakeven
TARGET 2 (1.0x 30m range): Take 30% off, trail stop by 25 points
TARGET 3 (1.5x 30m range): Take 15% off, let 5% run with 50pt trail
```
---
## ⚠️ DO NOT TRADE IF...
```
🚫 30min ORB incomplete (< 10:00 AM NY / < 3:30 AM London)
🚫 30min ORB range < 40 points YM (too tight, likely chop)
🚫 30min ORB range > 250 points YM (too wide, unpredictable)
🚫 All 3 ORBs wildly divergent (5m=100pts, 15m=180pts, 30m=240pts)
🚫 Major news release within 30 minutes (wait for ORB to reform)
🚫 You've hit 3 losses in the session (3-strike rule)
🚫 You're tired, emotional, revenge trading, or distracted
🚫 Time > 12:00 PM ET (lunch, avoid until 1:00 PM)
🚫 Time > 3:00 PM ET unless Power Hour (3:00-4:00 PM) momentum
```
---
## 🔍 PRE-SESSION CHECKLIST
**15 Minutes Before London (2:45 AM ET) or NY (9:15 AM ET):**
```
□ Check economic calendar (FOMC? NFP? CPI? → extra caution)
□ Review previous session's ORB ranges (context for today's volatility)
□ Load SNIPER ORB on 1min or 5min chart
□ Select correct session: "London" or "New York"
□ Verify indicator settings:
• Number of Targets: 3
• Target % of 30min Range: 50%
• Show Anchored VWAP: ON
□ Set TradingView alerts:
• 30min ORB complete (10:00 AM or 3:30 AM)
• Price crossing 30min high/low
• VWAP crosses
□ Prepare bracket orders mentally (entry, stop, 3 targets)
□ Review yesterday's P&L and lessons learned
□ Set phone to "Do Not Disturb" mode
```
---
## 🎨 INDICATOR SETTINGS GUIDE
### **Core Settings (Updated with Toggles)**
```
SESSION SETTINGS:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
• Active Session: "London" or "New York"
ORB DISPLAY (NEW!):
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
☑ Show 5min ORB (toggle blue lines)
☑ Show 15min ORB (toggle cyan lines)
☑ Show 30min ORB (toggle purple lines)
💡 Turn OFF any ORB to declutter your chart!
TARGET SETTINGS:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
• Number of Targets: 3 (default)
• Target % of 30min Range: 50% (default)
VWAP SETTINGS:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
☑ Show Anchored VWAP
• VWAP Color: Gold (#FFC107)
• VWAP Width: 2px
```
### **Color Customization (Optimized for Dark Charts)**
```
DEFAULT COLORS:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
5min ORB: Bright Blue (#2196F3) - 3px wide
15min ORB: Cyan (#00BCD4) - 2px wide
30min ORB: Purple (#9C27B0) - 2px wide
Upside Targets: Green (#4CAF50) - 1px dashed
Downside Targets: Red (#F44336) - 1px dashed
VWAP: Gold (#FFC107) - 2px solid
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
WHY THESE COLORS?
• Blue family (5m/15m) = short-term, high-frequency
• Purple (30m) = primary, institutional level
• Green/Red = universal up/down
• Gold VWAP = fair value anchor (stands out)
```
### **Settings by Trading Style**
**BEGINNER (Clean & Simple):**
```
ORB Display:
☐ Show 5min ORB
☐ Show 15min ORB
☑ Show 30min ORB (30min only - focus mode)
Number of Targets: 2-3
Target % of 30min Range: 50%
Chart Timeframe: 5-minute
```
**SCALPER (5-15 min holds):**
```
ORB Display:
☑ Show 5min ORB (early signals)
☐ Show 15min ORB
☑ Show 30min ORB (confirmation)
Number of Targets: 5
Target % of 30min Range: 30-40%
Label Size: Tiny
Chart Timeframe: 1-minute
```
**DAY TRADER (30-90 min holds):**
```
ORB Display:
☑ Show 5min ORB
☑ Show 15min ORB
☑ Show 30min ORB (all 3 - confluence mode)
Number of Targets: 3
Target % of 30min Range: 50%
Label Size: Small
Chart Timeframe: 5-minute (RECOMMENDED)
```
**SWING TRADER (2-4 hour holds):**
```
ORB Display:
☐ Show 5min ORB (too noisy for swings)
☑ Show 15min ORB
☑ Show 30min ORB
Number of Targets: 2-3
Target % of 30min Range: 75-100%
Label Size: Normal
Chart Timeframe: 15-minute
```
---
## 📈 TIMEFRAME SELECTION GUIDE
| Your Timeframe | What You See | Best For |
|---------------|--------------|----------|
| **1-minute** | Every tick, high noise | Scalping, precision entries |
| **5-minute** | Balanced clarity | Day trading (RECOMMENDED) |
| **15-minute** | Clean structure | Swing positions |
| **30-minute** | Too compressed | Not recommended (can't see ORB form) |
**💡 PRO TIP:**
- **Primary chart: 5-minute** (for entries and monitoring)
- **Secondary chart: 1-minute** (for precise timing)
- **Never go above 15-minute** (ORBs won't form properly)
---
## 🧠 READING THE 3-ORB STRUCTURE
### **Bullish Alignment Patterns**
```
PATTERN 1: "Staircase Expansion"
5min: ━━━━ (tight, 60 pts)
15min: ━━━━━━ (wider, 90 pts)
30min: ━━━━━━━━ (widest, 120 pts)
→ Bullish expansion, expect upside breakout
PATTERN 2: "Nested Compression"
5min: ━━ (30 pts)
15min: ━━━ (35 pts)
30min: ━━━━ (40 pts)
→ All tight, explosive breakout likely
PATTERN 3: "Early Commitment"
5min: ━━━━━━ (100 pts, already broken up)
15min: ━━━━━ (80 pts, holding)
30min: ━━━━━ (110 pts, about to break)
→ 5min led the way, 30min confirmation coming
```
### **Bearish Alignment Patterns**
```
PATTERN 1: "Waterfall Setup"
5min: ━━━━ (50 pts, broke down)
15min: ━━━━━ (70 pts, broke down)
30min: ━━━━━━ (90 pts, about to break)
→ Sequential breakdown, strong bearish momentum
PATTERN 2: "Failed Highs"
5min: ━━━━━━ (upper wick rejections)
15min: ━━━━━━ (couldn't break)
30min: ━━━━━━━ (topped out)
→ All 3 rejecting highs, bearish reversal likely
```
### **Neutral/Chop Patterns (AVOID TRADING)**
```
PATTERN 1: "Wide Divergence"
5min: ━━ (30 pts)
15min: ━━━━━━━ (120 pts)
30min: ━━━━━━━━━━━ (200 pts)
→ No consensus, unpredictable, skip
PATTERN 2: "Whipsaw City"
• Price breaking 5min up, then down, then up again
• 15min and 30min not aligned
• VWAP getting crossed every 5 minutes
→ Chop day, step aside, wait for clarity
```
---
## 📊 INTEGRATION WITH YM ULTIMATE SNIPER v8.1
**The 2-System Confluence Method:**
```
┌─────────────────────────────────────────────────────────────┐
│ STEP 1: SNIPER ORB → Defines "Zones That Matter" │
│ • 30min ORB = primary institutional range │
│ • VWAP = fair value anchor │
│ • Targets = profit zones │
│ • 5min/15min = early warning signals │
└─────────────────────────────────────────────────────────────┘
↓
┌─────────────────────────────────────────────────────────────┐
│ STEP 2: YM ULTIMATE SNIPER → Triggers precise entry │
│ • Wait for GOD MODE signal AT 30min ORB boundary │
│ • 6-gate filter: Score ≥9, fat body ≥70%, delta ≥70% │
│ • Candle Dominance Index (CDI) ≥7 │
│ • Intrabar pressure consistent throughout formation │
└─────────────────────────────────────────────────────────────┘
↓
┌─────────────────────────────────────────────────────────────┐
│ STEP 3: EXECUTE TRADE │
│ • ORB breakout + GOD MODE = MAXIMUM PROBABILITY │
│ • Enter ONLY when BOTH systems align │
│ • This is TRUE "sniper" trading (2-5 trades/day max) │
└─────────────────────────────────────────────────────────────┘
```
**Confluence Scoring for Combined System:**
```
SNIPER ORB Criteria:
□ 30min ORB complete (10:00 AM+) +2 points
□ All 3 ORBs broken in same direction +2 points
□ VWAP alignment (below=bull, above=bear) +1 point
□ Volume spike on breakout candle +1 point
□ Tight 3-ORB compression (<100pt divergence) +1 point
YM ULTIMATE SNIPER Criteria:
□ GOD MODE signal at ORB boundary +3 points
□ Score ≥9.0 (tier classification) +1 point
□ Candle Dominance Index (CDI) ≥8 +1 point
TOTAL POSSIBLE: 12 points
TRADE EXECUTION RULES:
• 10-12 points = MAX SIZE (this is the holy grail setup)
• 8-9 points = FULL SIZE (high probability)
• 6-7 points = HALF SIZE (moderate probability)
• <6 points = NO TRADE (wait for better alignment)
```
---
## 💡 COMMON MISTAKES & FIXES
```
❌ MISTAKE: Trading before 30min ORB completes
✅ FIX: Wait until 10:00 AM (NY) or 3:30 AM (London), NO EXCEPTIONS
❌ MISTAKE: Ignoring 5min and 15min ORBs (only watching 30min)
✅ FIX: Use all 3 for confluence - they're your early warning system
❌ MISTAKE: Chasing breakouts 100+ points beyond 30min ORB
✅ FIX: Wait for pullback to VWAP or 30min boundary for re-entry
❌ MISTAKE: Not adjusting target % for market conditions
✅ FIX: Volatile day (ORB >200pts)? Use 75-100% targets
Calm day (ORB <80pts)? Use 30-40% targets
❌ MISTAKE: Trading when all 3 ORBs are wildly different sizes
✅ FIX: Skip the day if 5m/15m/30m diverge by >100pts - no consensus
❌ MISTAKE: Forgetting VWAP position
✅ FIX: VWAP MUST confirm bias:
• Long: price > VWAP
• Short: price < VWAP
• If VWAP contradicts, skip the trade
❌ MISTAKE: Not respecting the 3-strike rule
✅ FIX: 3 losses = DONE for the session, no rationalization
❌ MISTAKE: Trading during lunch (12:00-1:00 PM ET)
✅ FIX: Volume dies, ORBs lose relevance, false signals increase
```
---
## 🔔 ALERT SETUP (ESSENTIAL)
**TradingView Alerts You MUST Set:**
```
ALERT 1: "30min ORB Complete"
• Type: Time-based
• Trigger: 10:00 AM ET (NY) or 3:30 AM ET (London)
• Message: "🎯 30min ORB complete - targets now active"
ALERT 2: "30min ORB High Breakout"
• Type: Crossing Up
• Value 1: Close
• Value 2: 30min ORB High (purple line)
• Message: "🚀 30m ORB HIGH broken - check for long setup"
ALERT 3: "30min ORB Low Breakdown"
• Type: Crossing Down
• Value 1: Close
• Value 2: 30min ORB Low (purple line)
• Message: "📉 30m ORB LOW broken - check for short setup"
ALERT 4: "VWAP Cross"
• Type: Crossing
• Value 1: Close
• Value 2: VWAP
• Message: "⚡ VWAP crossed - check institutional bias shift"
ALERT 5: "Target 1 Hit"
• Type: Crossing
• Value 1: High (for longs) or Low (for shorts)
• Value 2: First target line
• Message: "🎯 Target 1 hit - take 50% off, move stop to BE"
```
---
## 📱 MOBILE TRADING WORKFLOW
**TradingView Mobile App Setup:**
```
1. SAVE LAYOUT
• Chart: 5-minute timeframe
• SNIPER ORB indicator loaded
• YM Ultimate SNIPER v8.1 loaded (if using)
• Save as "SNIPER ORB - YM"
2. ENABLE NOTIFICATIONS
• Settings → Notifications → Push Alerts: ON
• All 5 alerts above configured
3. QUICK ACCESS
• Add YM futures to Watchlist: "MYM" or "YM1!"
• Pin SNIPER ORB layout to favorites
4. EXECUTION READY
• Broker app (TastyTrade, NinjaTrader, etc.) logged in
• Preset bracket orders:
- Entry: market order
- Stop: 30m ORB opposite boundary
- Targets: 3 levels (50%, 30%, 20% of position)
5. BATTERY & CONNECTIVITY
• Phone charged 100% before session
• Stable WiFi or LTE connection
• Backup power bank available
```
---
## 🎓 DAILY PERFORMANCE JOURNAL
**After Each Trading Session (MANDATORY):**
```
═══════════════════════════════════════════════════════════════
DATE: __________ SESSION: □ London □ New York
═══════════════════════════════════════════════════════════════
ORB DATA:
• 5min ORB Range: ______ points
• 15min ORB Range: ______ points
• 30min ORB Range: ______ points
• Alignment: □ Tight □ Moderate □ Wide (skip if wide)
VWAP BEHAVIOR:
• Opening position: □ Above price □ Below price □ Mixed
• Did VWAP act as support/resistance? □ Yes □ No
TRADES TAKEN:
Total Setups Identified: _____
Trades Executed: _____
Win/Loss Record: _____ W / _____ L
Win Rate: _____%
Gross P&L: $_______
Net P&L (after commissions): $_______
BEST TRADE:
• Setup: ____________________ (which of the 5 setups?)
• Entry Price: ______ Exit Price: ______
• Profit: $_______
• What went RIGHT: _________________________________
_________________________________________________
WORST TRADE:
• Setup: ____________________
• Entry Price: ______ Exit Price: ______
• Loss: $_______
• What went WRONG: _________________________________
_________________________________________________
• Lesson Learned: ___________________________________
3-STRIKE RULE STATUS:
□ No losses (great day)
□ 1 loss (still in game)
□ 2 losses (caution, half size)
□ 3 losses (stopped for day, as required)
TOMORROW'S ADJUSTMENTS:
□ _________________________________________________
□ _________________________________________________
□ _________________________________________________
EMOTIONAL STATE TODAY:
□ Calm & focused (optimal)
□ Anxious/rushed (need to work on patience)
□ Overconfident (dial back position size)
□ Fearful (review winning trades to build confidence)
═══════════════════════════════════════════════════════════════
```
---
## 🚀 YOUR FIRST LIVE TRADE WALKTHROUGH
**Step-by-Step for New York Session (Most Common):**
```
⏰ 9:15 AM ET - PREPARATION
□ Load SNIPER ORB on YM 5-minute chart
□ Select "New York" session in indicator settings
□ Verify VWAP is showing (gold line)
□ Check economic calendar (any big news at 9:30?)
□ Prepare mentally: "I will wait for 30min ORB to complete"
⏰ 9:30 AM ET - SESSION OPENS
□ Watch 3 ORBs begin forming:
• Blue lines (5min) will lock in at 9:35 AM
• Cyan lines (15min) will lock in at 9:45 AM
• Purple lines (30min) will lock in at 10:00 AM
□ Observe VWAP anchoring at 9:30 AM candle
□ DO NOT TRADE YET - just observe
⏰ 9:35 AM - 5MIN ORB COMPLETE
□ Note 5min high/low (blue lines locked)
□ Check info table: "5m Range = XX points"
□ If 5min ORB breaks early, note direction but DON'T ENTER
⏰ 9:45 AM - 15MIN ORB COMPLETE
□ Note 15min high/low (cyan lines locked)
□ Compare to 5min ORB: Aligned? Expanding?
□ Still waiting... patience pays
⏰ 10:00 AM - 30MIN ORB COMPLETE (TARGETS APPEAR!)
□ Purple lines locked (30m high/low)
□ Green/red dashed target lines appear automatically
□ Info table shows "Status: ✓ Complete"
□ NOW you can trade breakouts
⏰ 10:00 AM - 11:30 AM - TRADING WINDOW
□ Wait for price to break purple line (30m ORB high or low)
□ Confirm:
1. All 3 ORBs broken in same direction?
2. VWAP confirming (below=bullish, above=bearish)?
3. Volume spike visible?
4. YM SNIPER GOD MODE signal? (if using)
□ If all YES → ENTER TRADE:
• Market order at breakout close
• Stop at 30m ORB opposite boundary
• Targets at green/red dashed lines
⏰ TARGET MANAGEMENT
□ Price hits first target (1x) → Take 50% off, move stop to BE
□ Price hits second target (2x) → Take 30% off, trail stop
□ Price hits third target (3x) → Take 15% off, let 5% run
⏰ 12:00 PM - LUNCH (AVOID TRADING)
□ Volume dies down
□ ORBs become less relevant
□ Take a break, review morning trades
⏰ 1:00 PM - 3:00 PM - AFTERNOON SESSION
□ ORBs still valid but less reliable
□ Consider waiting for Power Hour (3:00-4:00 PM)
⏰ 5:00 PM - SESSION END
□ All ORB lines disappear automatically
□ VWAP disappears automatically
□ Chart cleans itself - ready for tomorrow
□ Fill out daily journal
```
---
## 🏆 WINNING MINDSET AFFIRMATIONS
Read these BEFORE each trading session:
```
"I trade ORBs, not chaos. Structure gives me edge."
"3 high-quality trades beat 20 mediocre ones."
"The 30min ORB is my anchor. I wait for it. Every. Single. Time."
"When all 3 ORBs align, institutions are unified. I follow."
"VWAP is my institutional compass. I respect its guidance."
"3 strikes and I'm out. Discipline > Ego."
"I am a SNIPER, not a machine gunner. Precision wins."
"My edge is patience. Let the ORBs complete."
"I don't predict. I react to proven structure."
"One perfect setup is worth waiting all morning."
```
---
## 📞 TROUBLESHOOTING
**"ORB lines not showing on chart!"**
→ Check timeframe: Must be 1min-30min (not daily/weekly)
→ Verify session time: Must be during London (3AM-9:30AM) or NY (9:30AM-5PM)
→ Check indicator status: Should say "⏳ Forming" or "✓ Complete" in table
**"Targets not appearing!"**
→ 30min ORB must be complete (10:00 AM NY / 3:30 AM London)
→ Check "Number of Targets" setting (must be ≥1)
→ Verify "Target % of 30min Range" is set (default 50%)
**"VWAP disappeared!"**
→ Normal behavior: VWAP auto-deletes at session end (5PM NY / 9:30AM London)
→ Toggle "Show Anchored VWAP" OFF then ON to reset
→ Check if you're viewing chart outside session hours
**"All 3 ORBs look the same!"**
→ This is actually GOOD - means tight alignment (high-probability setup)
→ If they're diverging wildly (>100pts difference), that's a skip signal
**"Info table blocking my view!"**
→ Info table is in top-right corner by default
→ Drag it to a different position (TradingView allows moving)
→ Or minimize it by clicking the small arrow
**"Colors are hard to see on my chart!"**
→ Go to indicator settings:
• "5min ORB", "15min ORB", "30min ORB" color pickers
• "Upside Targets", "Downside Targets" color pickers
• Recommended: Use contrasting colors vs your chart background
---
## 📚 ADVANCED INTEGRATION TECHNIQUES
### **Combining with Market Profile**
```
• Use Volume Profile to identify Value Area High (VAH) and Low (VAL)
• If 30min ORB aligns with VAH/VAL → extra confluence
• POC (Point of Control) acts similar to VWAP
```
### **Combining with Cumulative Delta**
```
• Check if delta is positive on 30min ORB high break (bullish confirmation)
• Negative delta on low break confirms bearish institutional flow
• Your YM SNIPER already tracks this - use together!
```
### **Combining with Options Flow**
```
• Large call buying near 30min ORB high? Institutions positioning for breakout
• Large put buying near 30min ORB low? Smart money hedging/shorting
• Tools: Unusual Whales, Cheddar Flow, OptionStrat
```
---
## 🎯 FINAL PRE-LIVE CHECKLIST
**DO NOT GO LIVE UNTIL ALL CHECKED:**
```
□ Practiced on TradingView Replay for 2+ weeks
□ Can identify all 5 setups by pattern recognition
□ Understand why targets come from 30min ORB only
□ Know difference between 5min/15min/30min roles
□ Risk management rules memorized (position sizing, 3-strike)
□ YM Ultimate SNIPER v8.1 loaded (optional but recommended)
□ All 5 TradingView alerts configured
□ Broker platform tested with demo account
□ Stop/target orders can be placed in <10 seconds
□ Daily journal template prepared
□ Emotional state: calm, patient, focused
□ Account size: Minimum $10,000 recommended
□ Understand auto-disappear behavior (ORBs delete at session end)
□ Know NOT to trade before 30min ORB complete
□ Comfortable with looking at chart and seeing 6+ lines (3 ORBs + targets)
IF ALL CHECKED → YOU'RE READY TO SNIPE! 🎯
IF ANY UNCHECKED → KEEP PRACTICING, DON'T RUSH
```
---
## 💎 THE CORE PRINCIPLE
```
╔═══════════════════════════════════════════════════════════╗
║ ║
║ "The ORB doesn't predict the market. ║
║ The ORB reveals where institutions are positioned. ║
║ ║
║ When you see all 3 ORBs align and break, ║
║ you're not guessing direction— ║
║ you're following the billion-dollar order flow." ║
║ ║
║ THAT'S YOUR EDGE. ║
║ ║
╚═══════════════════════════════════════════════════════════╝
```
**🎯 Good luck, stay patient, and happy sniping! 🎯**
═══════════════════════════════════════════════════════════════════
END OF SNIPER ORB TRADING CHEAT SHEET v1.0
═══════════════════════════════════════════════════════════════════
SNIPER ORB v1# 🎯 SNIPER ORB TRADING CHEAT SHEET
## Quick Reference Guide for Live Trading
---
## 📊 VISUAL IDENTIFICATION GUIDE
```
═══════════════════════════════════════════════════════════════════
YOUR CHART AT A GLANCE
═══════════════════════════════════════════════════════════════════
🔵 BRIGHT BLUE LINES (3px) → 5min ORB High/Low
🔷 CYAN LINES (2px) → 15min ORB High/Low
🟣 PURPLE LINES (2px) → 30min ORB High/Low (PRIMARY)
🟢 GREEN DASHED LINES (1px) → Upside targets (1x, 2x, 3x from 30min ORB)
🔴 RED DASHED LINES (1px) → Downside targets (1x, 2x, 3x from 30min ORB)
🟡 GOLD LINE (2px) → Anchored VWAP (9:30 AM anchor for NY, 3:00 AM for London)
📋 INFO TABLE (top-right) → Shows live ORB ranges, VWAP price, status
═══════════════════════════════════════════════════════════════════
```
**KEY DIFFERENCE FROM OTHER ORB INDICATORS:**
- You see **ALL 3 ORB PERIODS SIMULTANEOUSLY** (5min, 15min, 30min)
- Targets calculated from **30min ORB ONLY** (not 5min or 15min)
- **NO BOX FILLS** - clean line-only display for sniper precision
- Auto-disappears at session end (no clutter from old sessions)
---
## ⏰ SESSION TIMING MATRIX
| Session | Start Time | 5min Complete | 15min Complete | 30min Complete | Session End |
|---------|-----------|---------------|----------------|----------------|-------------|
| **London** | 3:00 AM ET | 3:05 AM | 3:15 AM | 3:30 AM | 9:30 AM ET (disappears) |
| **New York** | 9:30 AM ET | 9:35 AM | 9:45 AM | 10:00 AM | 5:00 PM ET (disappears) |
**💡 GOLDEN RULES:**
1. **WAIT FOR 30MIN ORB TO COMPLETE** before trading targets (10:00 AM NY / 3:30 AM London)
2. Use 5min and 15min ORBs as **early warning signals** only
3. All ORB lines + VWAP **auto-delete** at session end (clean chart)
---
## 🎯 THE 3-ORB SYSTEM: HOW IT WORKS
### **Hierarchical ORB Structure**
```
TIME: 9:30 AM ─────────────────────────────────> 10:00 AM ──────> 5:00 PM
↓ ↓
SESSION START 30min ORB COMPLETE
(all 3 ORBs begin forming) (targets appear)
📍 5min ORB (9:30-9:35 AM): ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━>
Purpose: EARLY breakout signal, fastest-moving boundary
📍 15min ORB (9:30-9:45 AM): ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━>
Purpose: MID-TERM institutional reference level
📍 30min ORB (9:30-10:00 AM): ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━>
Purpose: PRIMARY TRADING RANGE - all targets calculated from this
🎯 TARGETS (10:00 AM onward): ▪ ▪ ▪ ▪ ▪ (1x, 2x, 3x from 30min ORB)
Purpose: Profit-taking levels based on 30min range
```
**Why 3 ORBs Instead of 1?**
- **5min ORB**: Captures early institutional positioning (first 5 minutes)
- **15min ORB**: Confirms directional bias (more stable than 5min)
- **30min ORB**: Full market digestion of overnight news + opening orders
- **Confluence = Higher Win Rate**: When all 3 align, breakouts are extremely reliable
---
## 🎯 THE 5 HIGH-PROBABILITY SETUPS
### **SETUP #1: TRIPLE ORB BREAKOUT CONFLUENCE** ⭐⭐⭐⭐⭐
```
CONDITIONS:
✅ 30min ORB complete (10:00 AM NY / 3:30 AM London)
✅ Price breaks ALL 3 ORBs simultaneously:
• 5min high/low (blue line)
• 15min high/low (cyan line)
• 30min high/low (purple line)
✅ VWAP confirms direction (below price = bullish, above = bearish)
✅ Volume spike on breakout candle
ENTRY: Close of breakout candle (must close beyond ALL 3 ORBs)
STOP: Inside 30min ORB at 30m low (long) or 30m high (short)
TARGET 1: First green/red dashed line (0.5x 30m range)
TARGET 2: Second target (1x 30m range)
TARGET 3: Third target (1.5x 30m range)
WIN RATE: 75-85% | R:R = 1:2.5 minimum
NOTES: When all 3 ORBs align, institutional order flow is unanimous
```
---
### **SETUP #2: 5MIN EARLY BREAKOUT → 30MIN CONFIRMATION** ⭐⭐⭐⭐
```
CONDITIONS:
✅ Price breaks 5min ORB first (blue line crossed)
✅ 15min ORB holds initially (cyan line not crossed yet)
✅ After 30min ORB completes, price breaks 30min boundary (purple)
✅ VWAP alignment confirms direction
✅ All 3 ORBs now broken in same direction
ENTRY: When 30min ORB breaks (purple line) + 5min/15min already broken
STOP: 30min ORB opposite boundary
TARGET 1-3: Standard targets from 30min ORB
WIN RATE: 70-80% | R:R = 1:2+
NOTES: 5min gave early warning, 30min confirms institutional commitment
```
---
### **SETUP #3: FALSE 5MIN BREAKOUT → 30MIN REVERSAL** ⭐⭐⭐⭐⭐
```
CONDITIONS:
✅ Price breaks 5min ORB (blue line)
✅ Fails to break 15min or 30min ORBs (cyan/purple lines hold)
✅ Price reverses back inside 5min ORB
✅ Then breaks OPPOSITE side of 30min ORB (purple line)
✅ VWAP flips to confirm new direction
ENTRY: When 30min ORB breaks in OPPOSITE direction of failed 5min break
STOP: Failed 5min breakout high/low (now a liquidity grab zone)
TARGET 1-3: Standard targets
WIN RATE: 80-90% | R:R = 1:3+ (trapped traders forced to exit)
NOTES: Most profitable setup - 5min breakout was liquidity hunt
```
---
### **SETUP #4: TIGHT COMPRESSION → EXPLOSION** ⭐⭐⭐⭐
```
CONDITIONS:
✅ All 3 ORBs tightly overlapping (5m, 15m, 30m within 50 points on YM)
✅ Range < 0.3% of price (very tight consolidation)
✅ VWAP sitting in middle of compression
✅ 30min ORB complete, price still inside all 3
ENTRY: Simultaneous break of ALL 3 ORBs + VWAP cross
STOP: Middle of compression zone
TARGET: 2x-4x normal targets (volatility expansion)
WIN RATE: 65-75% | R:R = 1:5+ (explosive breakout)
NOTES: Low volatility → high volatility shift, institutions coiling spring
```
---
### **SETUP #5: VWAP BOUNCE WITHIN 30MIN ORB** ⭐⭐⭐⭐
```
CONDITIONS:
✅ Price stayed inside 30min ORB for 1+ hours post-formation
✅ VWAP acting as dynamic support (long) or resistance (short)
✅ Price bouncing between VWAP and 30min ORB boundaries
✅ Clear rejection candles at VWAP
ENTRY: When price bounces off VWAP toward 30min ORB boundary
• Long: VWAP bounce up toward 30m high (purple)
• Short: VWAP rejection down toward 30m low (purple)
STOP: Beyond VWAP by 20 points
TARGET: 30min ORB opposite boundary
WIN RATE: 70-80% | R:R = 1:1.5-2
NOTES: Range-bound play, NOT for breakout traders
```
---
## 🛡️ RISK MANAGEMENT RULES
### **Position Sizing by ORB Range**
```
30min ORB Range | Stop Distance | Risk $500 (1%) | YM Contracts
-----------------|------------------|-----------------|-------------
< 50 points | 50 pts | $500 ÷ $250 = | 2 contracts
50-100 points | 100 pts | $500 ÷ $500 = | 1 contract
100-150 points | 150 pts | $500 ÷ $750 = | 0.66 (use 1)
150-200 points | 200 pts | $500 ÷ $1000 = | 0.5 (use 1)
> 200 points | Don't trade | Too wide | Skip setup
Formula: Risk $ ÷ (Stop Distance × $5 per YM point) = Max Contracts
```
### **The 3-Strike Rule (MANDATORY)**
```
✅ Trade 1: Full position size (based on 30m ORB range)
❌ Stop hit → Trade 2: HALF position size
❌ Stop hit → Trade 3: QUARTER position size
❌ Stop hit → DONE FOR THE DAY (no exceptions)
```
### **Profit Taking Ladder**
```
TARGET 1 (0.5x 30m range): Take 50% off, move stop to breakeven
TARGET 2 (1.0x 30m range): Take 30% off, trail stop by 25 points
TARGET 3 (1.5x 30m range): Take 15% off, let 5% run with 50pt trail
```
---
## ⚠️ DO NOT TRADE IF...
```
🚫 30min ORB incomplete (< 10:00 AM NY / < 3:30 AM London)
🚫 30min ORB range < 40 points YM (too tight, likely chop)
🚫 30min ORB range > 250 points YM (too wide, unpredictable)
🚫 All 3 ORBs wildly divergent (5m=100pts, 15m=180pts, 30m=240pts)
🚫 Major news release within 30 minutes (wait for ORB to reform)
🚫 You've hit 3 losses in the session (3-strike rule)
🚫 You're tired, emotional, revenge trading, or distracted
🚫 Time > 12:00 PM ET (lunch, avoid until 1:00 PM)
🚫 Time > 3:00 PM ET unless Power Hour (3:00-4:00 PM) momentum
```
---
## 🔍 PRE-SESSION CHECKLIST
**15 Minutes Before London (2:45 AM ET) or NY (9:15 AM ET):**
```
□ Check economic calendar (FOMC? NFP? CPI? → extra caution)
□ Review previous session's ORB ranges (context for today's volatility)
□ Load SNIPER ORB on 1min or 5min chart
□ Select correct session: "London" or "New York"
□ Verify indicator settings:
• Number of Targets: 3
• Target % of 30min Range: 50%
• Show Anchored VWAP: ON
□ Set TradingView alerts:
• 30min ORB complete (10:00 AM or 3:30 AM)
• Price crossing 30min high/low
• VWAP crosses
□ Prepare bracket orders mentally (entry, stop, 3 targets)
□ Review yesterday's P&L and lessons learned
□ Set phone to "Do Not Disturb" mode
```
---
## 🎨 INDICATOR SETTINGS GUIDE
### **Color Customization (Optimized for Dark Charts)**
```
DEFAULT COLORS:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
5min ORB: Bright Blue (#2196F3) - 3px wide
15min ORB: Cyan (#00BCD4) - 2px wide
30min ORB: Purple (#9C27B0) - 2px wide
Upside Targets: Green (#4CAF50) - 1px dashed
Downside Targets: Red (#F44336) - 1px dashed
VWAP: Gold (#FFC107) - 2px solid
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
WHY THESE COLORS?
• Blue family (5m/15m) = short-term, high-frequency
• Purple (30m) = primary, institutional level
• Green/Red = universal up/down
• Gold VWAP = fair value anchor (stands out)
```
### **Settings by Trading Style**
**SCALPER (5-15 min holds):**
```
Number of Targets: 5
Target % of 30min Range: 30-40%
Label Size: Tiny
Chart Timeframe: 1-minute
```
**DAY TRADER (30-90 min holds):**
```
Number of Targets: 3
Target % of 30min Range: 50%
Label Size: Small
Chart Timeframe: 5-minute
```
**SWING TRADER (2-4 hour holds):**
```
Number of Targets: 2-3
Target % of 30min Range: 75-100%
Label Size: Normal
Chart Timeframe: 15-minute
```
---
## 📈 TIMEFRAME SELECTION GUIDE
| Your Timeframe | What You See | Best For |
|---------------|--------------|----------|
| **1-minute** | Every tick, high noise | Scalping, precision entries |
| **5-minute** | Balanced clarity | Day trading (RECOMMENDED) |
| **15-minute** | Clean structure | Swing positions |
| **30-minute** | Too compressed | Not recommended (can't see ORB form) |
**💡 PRO TIP:**
- **Primary chart: 5-minute** (for entries and monitoring)
- **Secondary chart: 1-minute** (for precise timing)
- **Never go above 15-minute** (ORBs won't form properly)
---
## 🧠 READING THE 3-ORB STRUCTURE
### **Bullish Alignment Patterns**
```
PATTERN 1: "Staircase Expansion"
5min: ━━━━ (tight, 60 pts)
15min: ━━━━━━ (wider, 90 pts)
30min: ━━━━━━━━ (widest, 120 pts)
→ Bullish expansion, expect upside breakout
PATTERN 2: "Nested Compression"
5min: ━━ (30 pts)
15min: ━━━ (35 pts)
30min: ━━━━ (40 pts)
→ All tight, explosive breakout likely
PATTERN 3: "Early Commitment"
5min: ━━━━━━ (100 pts, already broken up)
15min: ━━━━━ (80 pts, holding)
30min: ━━━━━ (110 pts, about to break)
→ 5min led the way, 30min confirmation coming
```
### **Bearish Alignment Patterns**
```
PATTERN 1: "Waterfall Setup"
5min: ━━━━ (50 pts, broke down)
15min: ━━━━━ (70 pts, broke down)
30min: ━━━━━━ (90 pts, about to break)
→ Sequential breakdown, strong bearish momentum
PATTERN 2: "Failed Highs"
5min: ━━━━━━ (upper wick rejections)
15min: ━━━━━━ (couldn't break)
30min: ━━━━━━━ (topped out)
→ All 3 rejecting highs, bearish reversal likely
```
### **Neutral/Chop Patterns (AVOID TRADING)**
```
PATTERN 1: "Wide Divergence"
5min: ━━ (30 pts)
15min: ━━━━━━━ (120 pts)
30min: ━━━━━━━━━━━ (200 pts)
→ No consensus, unpredictable, skip
PATTERN 2: "Whipsaw City"
• Price breaking 5min up, then down, then up again
• 15min and 30min not aligned
• VWAP getting crossed every 5 minutes
→ Chop day, step aside, wait for clarity
```
---
## 📊 INTEGRATION WITH YM ULTIMATE SNIPER v8.1
**The 2-System Confluence Method:**
```
┌─────────────────────────────────────────────────────────────┐
│ STEP 1: SNIPER ORB → Defines "Zones That Matter" │
│ • 30min ORB = primary institutional range │
│ • VWAP = fair value anchor │
│ • Targets = profit zones │
│ • 5min/15min = early warning signals │
└─────────────────────────────────────────────────────────────┘
↓
┌─────────────────────────────────────────────────────────────┐
│ STEP 2: YM ULTIMATE SNIPER → Triggers precise entry │
│ • Wait for GOD MODE signal AT 30min ORB boundary │
│ • 6-gate filter: Score ≥9, fat body ≥70%, delta ≥70% │
│ • Candle Dominance Index (CDI) ≥7 │
│ • Intrabar pressure consistent throughout formation │
└─────────────────────────────────────────────────────────────┘
↓
┌─────────────────────────────────────────────────────────────┐
│ STEP 3: EXECUTE TRADE │
│ • ORB breakout + GOD MODE = MAXIMUM PROBABILITY │
│ • Enter ONLY when BOTH systems align │
│ • This is TRUE "sniper" trading (2-5 trades/day max) │
└─────────────────────────────────────────────────────────────┘
```
**Confluence Scoring for Combined System:**
```
SNIPER ORB Criteria:
□ 30min ORB complete (10:00 AM+) +2 points
□ All 3 ORBs broken in same direction +2 points
□ VWAP alignment (below=bull, above=bear) +1 point
□ Volume spike on breakout candle +1 point
□ Tight 3-ORB compression (<100pt divergence) +1 point
YM ULTIMATE SNIPER Criteria:
□ GOD MODE signal at ORB boundary +3 points
□ Score ≥9.0 (tier classification) +1 point
□ Candle Dominance Index (CDI) ≥8 +1 point
TOTAL POSSIBLE: 12 points
TRADE EXECUTION RULES:
• 10-12 points = MAX SIZE (this is the holy grail setup)
• 8-9 points = FULL SIZE (high probability)
• 6-7 points = HALF SIZE (moderate probability)
• <6 points = NO TRADE (wait for better alignment)
```
---
## 💡 COMMON MISTAKES & FIXES
```
❌ MISTAKE: Trading before 30min ORB completes
✅ FIX: Wait until 10:00 AM (NY) or 3:30 AM (London), NO EXCEPTIONS
❌ MISTAKE: Ignoring 5min and 15min ORBs (only watching 30min)
✅ FIX: Use all 3 for confluence - they're your early warning system
❌ MISTAKE: Chasing breakouts 100+ points beyond 30min ORB
✅ FIX: Wait for pullback to VWAP or 30min boundary for re-entry
❌ MISTAKE: Not adjusting target % for market conditions
✅ FIX: Volatile day (ORB >200pts)? Use 75-100% targets
Calm day (ORB <80pts)? Use 30-40% targets
❌ MISTAKE: Trading when all 3 ORBs are wildly different sizes
✅ FIX: Skip the day if 5m/15m/30m diverge by >100pts - no consensus
❌ MISTAKE: Forgetting VWAP position
✅ FIX: VWAP MUST confirm bias:
• Long: price > VWAP
• Short: price < VWAP
• If VWAP contradicts, skip the trade
❌ MISTAKE: Not respecting the 3-strike rule
✅ FIX: 3 losses = DONE for the session, no rationalization
❌ MISTAKE: Trading during lunch (12:00-1:00 PM ET)
✅ FIX: Volume dies, ORBs lose relevance, false signals increase
```
---
## 🔔 ALERT SETUP (ESSENTIAL)
**TradingView Alerts You MUST Set:**
```
ALERT 1: "30min ORB Complete"
• Type: Time-based
• Trigger: 10:00 AM ET (NY) or 3:30 AM ET (London)
• Message: "🎯 30min ORB complete - targets now active"
ALERT 2: "30min ORB High Breakout"
• Type: Crossing Up
• Value 1: Close
• Value 2: 30min ORB High (purple line)
• Message: "🚀 30m ORB HIGH broken - check for long setup"
ALERT 3: "30min ORB Low Breakdown"
• Type: Crossing Down
• Value 1: Close
• Value 2: 30min ORB Low (purple line)
• Message: "📉 30m ORB LOW broken - check for short setup"
ALERT 4: "VWAP Cross"
• Type: Crossing
• Value 1: Close
• Value 2: VWAP
• Message: "⚡ VWAP crossed - check institutional bias shift"
ALERT 5: "Target 1 Hit"
• Type: Crossing
• Value 1: High (for longs) or Low (for shorts)
• Value 2: First target line
• Message: "🎯 Target 1 hit - take 50% off, move stop to BE"
```
---
## 📱 MOBILE TRADING WORKFLOW
**TradingView Mobile App Setup:**
```
1. SAVE LAYOUT
• Chart: 5-minute timeframe
• SNIPER ORB indicator loaded
• YM Ultimate SNIPER v8.1 loaded (if using)
• Save as "SNIPER ORB - YM"
2. ENABLE NOTIFICATIONS
• Settings → Notifications → Push Alerts: ON
• All 5 alerts above configured
3. QUICK ACCESS
• Add YM futures to Watchlist: "MYM" or "YM1!"
• Pin SNIPER ORB layout to favorites
4. EXECUTION READY
• Broker app (TastyTrade, NinjaTrader, etc.) logged in
• Preset bracket orders:
- Entry: market order
- Stop: 30m ORB opposite boundary
- Targets: 3 levels (50%, 30%, 20% of position)
5. BATTERY & CONNECTIVITY
• Phone charged 100% before session
• Stable WiFi or LTE connection
• Backup power bank available
```
---
## 🎓 DAILY PERFORMANCE JOURNAL
**After Each Trading Session (MANDATORY):**
```
═══════════════════════════════════════════════════════════════
DATE: __________ SESSION: □ London □ New York
═══════════════════════════════════════════════════════════════
ORB DATA:
• 5min ORB Range: ______ points
• 15min ORB Range: ______ points
• 30min ORB Range: ______ points
• Alignment: □ Tight □ Moderate □ Wide (skip if wide)
VWAP BEHAVIOR:
• Opening position: □ Above price □ Below price □ Mixed
• Did VWAP act as support/resistance? □ Yes □ No
TRADES TAKEN:
Total Setups Identified: _____
Trades Executed: _____
Win/Loss Record: _____ W / _____ L
Win Rate: _____%
Gross P&L: $_______
Net P&L (after commissions): $_______
BEST TRADE:
• Setup: ____________________ (which of the 5 setups?)
• Entry Price: ______ Exit Price: ______
• Profit: $_______
• What went RIGHT: _________________________________
_________________________________________________
WORST TRADE:
• Setup: ____________________
• Entry Price: ______ Exit Price: ______
• Loss: $_______
• What went WRONG: _________________________________
_________________________________________________
• Lesson Learned: ___________________________________
3-STRIKE RULE STATUS:
□ No losses (great day)
□ 1 loss (still in game)
□ 2 losses (caution, half size)
□ 3 losses (stopped for day, as required)
TOMORROW'S ADJUSTMENTS:
□ _________________________________________________
□ _________________________________________________
□ _________________________________________________
EMOTIONAL STATE TODAY:
□ Calm & focused (optimal)
□ Anxious/rushed (need to work on patience)
□ Overconfident (dial back position size)
□ Fearful (review winning trades to build confidence)
═══════════════════════════════════════════════════════════════
```
---
## 🚀 YOUR FIRST LIVE TRADE WALKTHROUGH
**Step-by-Step for New York Session (Most Common):**
```
⏰ 9:15 AM ET - PREPARATION
□ Load SNIPER ORB on YM 5-minute chart
□ Select "New York" session in indicator settings
□ Verify VWAP is showing (gold line)
□ Check economic calendar (any big news at 9:30?)
□ Prepare mentally: "I will wait for 30min ORB to complete"
⏰ 9:30 AM ET - SESSION OPENS
□ Watch 3 ORBs begin forming:
• Blue lines (5min) will lock in at 9:35 AM
• Cyan lines (15min) will lock in at 9:45 AM
• Purple lines (30min) will lock in at 10:00 AM
□ Observe VWAP anchoring at 9:30 AM candle
□ DO NOT TRADE YET - just observe
⏰ 9:35 AM - 5MIN ORB COMPLETE
□ Note 5min high/low (blue lines locked)
□ Check info table: "5m Range = XX points"
□ If 5min ORB breaks early, note direction but DON'T ENTER
⏰ 9:45 AM - 15MIN ORB COMPLETE
□ Note 15min high/low (cyan lines locked)
□ Compare to 5min ORB: Aligned? Expanding?
□ Still waiting... patience pays
⏰ 10:00 AM - 30MIN ORB COMPLETE (TARGETS APPEAR!)
□ Purple lines locked (30m high/low)
□ Green/red dashed target lines appear automatically
□ Info table shows "Status: ✓ Complete"
□ NOW you can trade breakouts
⏰ 10:00 AM - 11:30 AM - TRADING WINDOW
□ Wait for price to break purple line (30m ORB high or low)
□ Confirm:
1. All 3 ORBs broken in same direction?
2. VWAP confirming (below=bullish, above=bearish)?
3. Volume spike visible?
4. YM SNIPER GOD MODE signal? (if using)
□ If all YES → ENTER TRADE:
• Market order at breakout close
• Stop at 30m ORB opposite boundary
• Targets at green/red dashed lines
⏰ TARGET MANAGEMENT
□ Price hits first target (1x) → Take 50% off, move stop to BE
□ Price hits second target (2x) → Take 30% off, trail stop
□ Price hits third target (3x) → Take 15% off, let 5% run
⏰ 12:00 PM - LUNCH (AVOID TRADING)
□ Volume dies down
□ ORBs become less relevant
□ Take a break, review morning trades
⏰ 1:00 PM - 3:00 PM - AFTERNOON SESSION
□ ORBs still valid but less reliable
□ Consider waiting for Power Hour (3:00-4:00 PM)
⏰ 5:00 PM - SESSION END
□ All ORB lines disappear automatically
□ VWAP disappears automatically
□ Chart cleans itself - ready for tomorrow
□ Fill out daily journal
```
---
## 🏆 WINNING MINDSET AFFIRMATIONS
Read these BEFORE each trading session:
```
"I trade ORBs, not chaos. Structure gives me edge."
"3 high-quality trades beat 20 mediocre ones."
"The 30min ORB is my anchor. I wait for it. Every. Single. Time."
"When all 3 ORBs align, institutions are unified. I follow."
"VWAP is my institutional compass. I respect its guidance."
"3 strikes and I'm out. Discipline > Ego."
"I am a SNIPER, not a machine gunner. Precision wins."
"My edge is patience. Let the ORBs complete."
"I don't predict. I react to proven structure."
"One perfect setup is worth waiting all morning."
```
---
## 📞 TROUBLESHOOTING
**"ORB lines not showing on chart!"**
→ Check timeframe: Must be 1min-30min (not daily/weekly)
→ Verify session time: Must be during London (3AM-9:30AM) or NY (9:30AM-5PM)
→ Check indicator status: Should say "⏳ Forming" or "✓ Complete" in table
**"Targets not appearing!"**
→ 30min ORB must be complete (10:00 AM NY / 3:30 AM London)
→ Check "Number of Targets" setting (must be ≥1)
→ Verify "Target % of 30min Range" is set (default 50%)
**"VWAP disappeared!"**
→ Normal behavior: VWAP auto-deletes at session end (5PM NY / 9:30AM London)
→ Toggle "Show Anchored VWAP" OFF then ON to reset
→ Check if you're viewing chart outside session hours
**"All 3 ORBs look the same!"**
→ This is actually GOOD - means tight alignment (high-probability setup)
→ If they're diverging wildly (>100pts difference), that's a skip signal
**"Info table blocking my view!"**
→ Info table is in top-right corner by default
→ Drag it to a different position (TradingView allows moving)
→ Or minimize it by clicking the small arrow
**"Colors are hard to see on my chart!"**
→ Go to indicator settings:
• "5min ORB", "15min ORB", "30min ORB" color pickers
• "Upside Targets", "Downside Targets" color pickers
• Recommended: Use contrasting colors vs your chart background
---
## 📚 ADVANCED INTEGRATION TECHNIQUES
### **Combining with Market Profile**
```
• Use Volume Profile to identify Value Area High (VAH) and Low (VAL)
• If 30min ORB aligns with VAH/VAL → extra confluence
• POC (Point of Control) acts similar to VWAP
```
### **Combining with Cumulative Delta**
```
• Check if delta is positive on 30min ORB high break (bullish confirmation)
• Negative delta on low break confirms bearish institutional flow
• Your YM SNIPER already tracks this - use together!
```
### **Combining with Options Flow**
```
• Large call buying near 30min ORB high? Institutions positioning for breakout
• Large put buying near 30min ORB low? Smart money hedging/shorting
• Tools: Unusual Whales, Cheddar Flow, OptionStrat
```
---
## 🎯 FINAL PRE-LIVE CHECKLIST
**DO NOT GO LIVE UNTIL ALL CHECKED:**
```
□ Practiced on TradingView Replay for 2+ weeks
□ Can identify all 5 setups by pattern recognition
□ Understand why targets come from 30min ORB only
□ Know difference between 5min/15min/30min roles
□ Risk management rules memorized (position sizing, 3-strike)
□ YM Ultimate SNIPER v8.1 loaded (optional but recommended)
□ All 5 TradingView alerts configured
□ Broker platform tested with demo account
□ Stop/target orders can be placed in <10 seconds
□ Daily journal template prepared
□ Emotional state: calm, patient, focused
□ Account size: Minimum $10,000 recommended
□ Understand auto-disappear behavior (ORBs delete at session end)
□ Know NOT to trade before 30min ORB complete
□ Comfortable with looking at chart and seeing 6+ lines (3 ORBs + targets)
IF ALL CHECKED → YOU'RE READY TO SNIPE! 🎯
IF ANY UNCHECKED → KEEP PRACTICING, DON'T RUSH
```
---
## 💎 THE CORE PRINCIPLE
```
╔═══════════════════════════════════════════════════════════╗
║ ║
║ "The ORB doesn't predict the market. ║
║ The ORB reveals where institutions are positioned. ║
║ ║
║ When you see all 3 ORBs align and break, ║
║ you're not guessing direction— ║
║ you're following the billion-dollar order flow." ║
║ ║
║ THAT'S YOUR EDGE. ║
║ ║
╚═══════════════════════════════════════════════════════════╝
```
**🎯 Good luck, stay patient, and happy sniping! 🎯**
═══════════════════════════════════════════════════════════════════
END OF SNIPER ORB TRADING CHEAT SHEET v1.0
═══════════════════════════════════════════════════════════════════
Trend Vector Pro v2.0Title: Trend Vector Pro v2.0
👨💻 Developed by: Mohammed Bedaiwi
💡 Strategy Overview & Coherence
Trend Vector Pro (TVPro) is a momentum-based trend & reversal strategy that uses a custom smoothed oscillator, an optional ADX filter, and classic Pivot Points to create a single, coherent trading framework.
Instead of stacking random indicators, TVPro is built around these integrated components:
A custom momentum engine (signal generation)
An optional ADX filter (trend quality control)
Daily Pivot Points (context, targets & S/R)
Swing-based “Golden Bar” trailing stops (trade management)
Optional extended bar detection (overextension alerts)
All parts are designed to work together and are documented below to address originality & usefulness requirements.
🔍 Core Components & Justification
1. Custom Momentum Engine (Main Signal Source)
TVPro’s engine is a custom oscillator derived from the bar midpoint ( hl2 ), similar in spirit to the Awesome Oscillator but adapted and fully integrated into the strategy. It measures velocity and acceleration of price, letting the script distinguish between strong impulses, weakening trends, and pure noise.
2. ADX Filter (Trend Strength Validation – Optional)
Uses Average Directional Index (ADX) as a gatekeeper.
Why this matters: This prevents the strategy from firing signals in choppy, non-trending environments (when ADX is below the threshold) and keeps trades focused on periods of clear directional strength.
3. Classic Pivot Points (Context & Targets)
Calculates Daily Pivot Points ( PP, R1-R3, S1-S3 ) via request.security() using prior session data.
Why this matters: Momentum gives the signal, ADX validates the environment, and Pivots add external structure for risk and target planning. This is a designed interaction, not a random mashup.
🧭 Trend State Logic (5-State Bar Coloring)
The strategy uses the momentum's value + slope to define five states, turning the chart into a visual momentum map:
🟢 STRONG BULL (Bright Green): Momentum accelerating UP. → Strong upside impulse.
🌲 WEAK BULL (Dark Green): Momentum decelerating DOWN (while positive). → Pullback/pause zone.
🔴 STRONG BEAR (Bright Red): Momentum accelerating DOWN. → Strong downside impulse.
🍷 WEAK BEAR (Dark Red): Momentum decelerating UP (while negative). → Rally/short-covering zone.
🔵 NEUTRAL / CHOP (Cyan): Momentum is near zero (based on noise threshold). → Consolidation / low volatility.
🎯 Signal Logic Modes
TVPro provides two selectable entry styles, controlled by input:
Reversals Only (Cleaner Mode – Default): Targets trend flips. Entry triggers when the current state is Bullish (or Bearish) and the previous state was not. This reduces noise and over-trading.
All Strong Pulses (Aggressive Mode): Targets acceleration phases. Entry triggers when the bar turns to STRONG BULL or STRONG BEAR after any other state. This mode produces more trades.
📌 Risk Management Tools
Golden Bars – Trailing Stops: Yellow “Trail” Arrows mark confirmed Swing Highs/Lows. These are used as logical trailing stop levels based on market structure.
Extended Bars: Detects when price closes outside a 2-standard-deviation channel, flagging overextension where a pullback is more likely.
Pivot Points: Used as external targets for Take Profit and structural stop placement.
⚙️ Strategy Defaults (Crucial for Publication Compliance)
To keep backtest results realistic and in line with House Rules, TVPro is published with the following fixed default settings:
Order Size: 5% of equity per trade ( default_qty_value = 5 )
Commission: 0.04% per order ( commission_value = 0.04 )
Slippage: 2 ticks ( slippage = 2 )
Initial Capital: 10,000
📘 How to Trade with Trend Vector Pro
Entry: Take Long when a Long signal appears and confirm the bar is Green (Bull state). Short for Red (Bear state).
Stop Loss: Place the initial SL near the latest swing High/Low, or near a relevant Pivot level.
Trade Management: Follow Golden (Trail) Arrows to trail your stop behind structure.
Exits: Exit when: the trailing stop is hit, Price reaches a major Pivot level, or an opposite signal prints.
🛑 Disclaimer
This script is for educational purposes only and does not constitute financial advice. Past performance does not guarantee future results. Always forward-test and use proper risk management before applying any strategy to live trading.
Trend Vector Pro v2.0Trend Vector Pro v2.0
👨💻 Developed by: Mohammed Bedaiwi
💡 Strategy Overview & Coherence
Trend Vector Pro (TVPro) is a momentum-based trend & reversal strategy that uses a custom smoothed oscillator, an optional ADX filter, and classic Pivot Points to create a single, coherent trading framework.
Instead of stacking random indicators, TVPro is built around these integrated components:
A custom momentum engine (signal generation)
An optional ADX filter (trend quality control)
Daily Pivot Points (context, targets & S/R)
Swing-based “Golden Bar” trailing stops (trade management)
Optional extended bar detection (overextension alerts)
All parts are designed to work together and are documented below to address originality & usefulness requirements.
🔍 Core Components & Justification
1. Custom Momentum Engine (Main Signal Source)
TVPro’s engine is a custom oscillator derived from the bar midpoint ( hl2 ), similar in spirit to the Awesome Oscillator but adapted and fully integrated into the strategy. It measures velocity and acceleration of price, letting the script distinguish between strong impulses, weakening trends, and pure noise.
2. ADX Filter (Trend Strength Validation – Optional)
Uses Average Directional Index (ADX) as a gatekeeper.
Why this matters: This prevents the strategy from firing signals in choppy, non-trending environments (when ADX is below the threshold) and keeps trades focused on periods of clear directional strength.
3. Classic Pivot Points (Context & Targets)
Calculates Daily Pivot Points ( PP, R1-R3, S1-S3 ) via request.security() using prior session data.
Why this matters: Momentum gives the signal, ADX validates the environment, and Pivots add external structure for risk and target planning. This is a designed interaction, not a random mashup.
🧭 Trend State Logic (5-State Bar Coloring)
The strategy uses the momentum's value + slope to define five states, turning the chart into a visual momentum map:
🟢 STRONG BULL (Bright Green): Momentum accelerating UP. → Strong upside impulse.
🌲 WEAK BULL (Dark Green): Momentum decelerating DOWN (while positive). → Pullback/pause zone.
🔴 STRONG BEAR (Bright Red): Momentum accelerating DOWN. → Strong downside impulse.
🍷 WEAK BEAR (Dark Red): Momentum decelerating UP (while negative). → Rally/short-covering zone.
🔵 NEUTRAL / CHOP (Cyan): Momentum is near zero (based on noise threshold). → Consolidation / low volatility.
🎯 Signal Logic Modes
TVPro provides two selectable entry styles, controlled by input:
Reversals Only (Cleaner Mode – Default): Targets trend flips. Entry triggers when the current state is Bullish (or Bearish) and the previous state was not. This reduces noise and over-trading.
All Strong Pulses (Aggressive Mode): Targets acceleration phases. Entry triggers when the bar turns to STRONG BULL or STRONG BEAR after any other state. This mode produces more trades.
📌 Risk Management Tools
🟡 Golden Bars – Trailing Stops: Yellow “Trail” Arrows mark confirmed Swing Highs/Lows. These are used as logical trailing stop levels based on market structure.
Extended Bars: Detects when price closes outside a 2-standard-deviation channel, flagging overextension where a pullback is more likely.
Pivot Points: Used as external targets for Take Profit and structural stop placement.
⚙️ Strategy Defaults (Crucial for Publication Compliance)
To keep backtest results realistic and in line with House Rules, TVPro is published with the following fixed default settings:
Order Size: 5% of equity per trade ( default_qty_value = 5 )
Commission: 0.04% per order ( commission_value = 0.04 )
Slippage: 2 ticks ( slippage = 2 )
Initial Capital: 10,000
📘 How to Trade with Trend Vector Pro
Entry: Take Long when a Long signal appears and confirm the bar is Green (Bull state). Short for Red (Bear state).
Stop Loss: Place the initial SL near the latest swing High/Low, or near a relevant Pivot level.
Trade Management: Follow Golden (Trail) Arrows to trail your stop behind structure.
Exits: Exit when: the trailing stop is hit, Price reaches a major Pivot level, or an opposite signal prints.
🛑 Disclaimer
This script is for educational purposes only and does not constitute financial advice. Past performance does not guarantee future results. Always forward-test and use proper risk management before applying any strategy to live trading.
2026 CHRISTMAS PRESENT CHRISTMAS PRESENT
Overview
The Cash Detector is a comprehensive trading strategy that combines momentum analysis with price action confirmation to identify high-probability entry points. This strategy is designed to capture trend reversals and continuation moves by requiring multiple confirming signals before entry, significantly reducing false signals common in single-indicator systems.
Strategy Background
The strategy is built on the principle of confluence trading requiring multiple technical factors to align before taking a position. It focuses on two critical phases of market rotation:
Q2 Momentum Phase: Uses MACD crossovers to identify shifts in market momentum, signaling when bulls or bears are gaining control.
Q4 Trigger Phase: Employs engulfing candlestick patterns to confirm strong directional pressure and validate the momentum signal with actual price action.
By combining these elements, the strategy filters out weak signals and focuses only on setups where both momentum AND price action agree on direction.
Key Features
Dual Confirmation System: Requires both MACD momentum shift and engulfing candle pattern
RSI Filter: Optional overbought/oversold filter to avoid extreme conditions
Built-in Risk Management: Configurable stop loss and take profit levels
Performance Dashboard: Real-time ROI metrics displayed on chart
Full Backtesting: Strategy mode allows historical performance analysis
Trading Rules
LONG ENTRY BUY
All conditions must occur on the same candle:
1. Momentum Confirmation:
MACD line crosses above signal line bullish crossover
2. Price Action Confirmation:
Bullish engulfing pattern forms:
Current close greater than previous open
Current open less than previous close
Current close greater than current open
3. RSI Filter Optional:
RSI less than 70 not overbought
Visual Signal: Green LONG label appears below the candle
SHORT ENTRY SELL
All conditions must occur on the same candle:
1. Momentum Confirmation:
MACD line crosses below signal line bearish crossover
2. Price Action Confirmation:
Bearish engulfing pattern forms:
Current close less than previous open
Current open greater than previous close
Current close less than current open
3. RSI Filter Optional:
RSI greater than 30 not oversold
Visual Signal: Red SHORT label appears above the candle
Exit Rules
Stop Loss Default 2 percent
Long: Exit if price drops 2 percent below entry
Short: Exit if price rises 2 percent above entry
Take Profit Default 4 percent
Long: Exit if price rises 4 percent above entry
Short: Exit if price drops 4 percent below entry
Input Parameters
Indicator Settings
MACD Fast Length: 12 default
MACD Slow Length: 26 default
RSI Length: 14 default
Risk Management
Use Stop Loss: Enable or disable stop loss
Stop Loss percent: Percentage risk per trade default 2 percent
Use Take Profit: Enable or disable take profit
Take Profit percent: Target profit per trade default 4 percent
Filters
Use RSI Filter: Enable or disable RSI overbought oversold filter
RSI Overbought: Upper threshold default 70
RSI Oversold: Lower threshold default 30
Performance Metrics
The built-in dashboard displays:
Net Profit: Total profit loss in currency and percentage
Total Trades: Number of completed trades
Win Rate: Percentage of profitable trades
Profit Factor: Ratio of gross profit to gross loss
Average Win Loss: Mean profit per winning losing trade
Max Drawdown: Largest peak to trough decline
Best Practices
1. Timeframe Selection: Works on multiple timeframes test on 15min 1H 4H and daily
2. Market Conditions: Most effective in trending markets with clear momentum
3. Risk Reward Ratio: Default 1:2 ratio 2 percent risk 4 percent reward is conservative adjust based on backtesting
4. Combine with Context: Consider overall market trend and support resistance levels
5. Backtest First: Always backtest on your specific instrument and timeframe before live trading
Risk Disclaimer
This strategy is for educational purposes. Past performance does not guarantee future results. Always:
Backtest thoroughly on historical data
Paper trade before using real capital
Use proper position sizing and risk management
Never risk more than you can afford to lose
Customization Tips
Aggressive traders: Reduce stop loss to 1.5 percent increase take profit to 5 percent
Conservative traders: Increase stop loss to 3 percent reduce take profit to 3 percent
Ranging markets: Enable RSI filter to avoid false breakouts
Strong trends: Disable RSI filter to catch all momentum shifts
Technical Details
Indicators Used:
Moving Average Convergence Divergence MACD
Relative Strength Index RSI
Candlestick Pattern Recognition
Strategy Type: Trend following with momentum confirmation
Best Suited For: Stocks Forex Crypto Indices
Version 1.0
Compatible with Pine Script v5
Trinity Ultimate 10 MA Ribbons)I got tired of trying to find a multi MA ribbon that could also color change and allow different types, if it exists then I could not find it... So here it is...
The **Trinity Ultimate 10 MA Ribbon** is a highly customizable, professional-grade moving average ribbon that combines extreme flexibility with beautiful visual feedback. Designed for traders who want full control without sacrificing clarity, it allows you to build a ribbon using up to ten completely independent moving averages — each with its own length, type, color, thickness, and visibility setting — while automatically coloring both the lines and the fills according to bullish or bearish conditions.
### Key Features
- Ten fully independent moving averages that can be mixed and matched exactly as you want.
- Each MA has its own selectable type: EMA (default), SMA, WMA, HMA, RMA, VWMA, or ALMA — perfect for combining fast EMAs with a slow HMA or a classic 200-period SMA.
- Every single MA line automatically changes color in real time: bright green when price is above the MA (bullish) and red when price is below the MA (bearish), making trend strength instantly visible across all timeframes.
- Smart, reactive ribbon fills that appear only between consecutive enabled MAs. Turn any MA on or off and the fills instantly adjust — no gaps, no broken bands, no manual rework.
- Nine layered fills with individually adjustable transparency (default is gradually increasing transparency from the fastest to the slowest MA), creating a smooth, depth-like ribbon effect that looks stunning on any chart background.
- Fill color itself is dynamic: green for bullish candles (close > open) and red for bearish candles, or you can customize both colors to any shade you prefer.
- Full control over every visual element: base colors, line thickness (1–10), lengths, and show/hide toggles for each of the ten MAs.
- Clean and lightweight code that compiles instantly in Pine Script v5 and works on all markets and timeframes without lag.
In short, this is the most flexible and visually informative moving-average ribbon available on TradingView today. Whether you want a classic 9-EMA ribbon, a Guppy-style multiple-timeframe setup, a hybrid EMA/HMA mix, or just three or four key levels, the indicator adapts perfectly while always telling you at a glance where the bulls and bears are in control.
Adaptive Genesis Engine [AGE]ADAPTIVE GENESIS ENGINE (AGE)
Pure Signal Evolution Through Genetic Algorithms
Where Darwin Meets Technical Analysis
🧬 WHAT YOU'RE GETTING - THE PURE INDICATOR
This is a technical analysis indicator - it generates signals, visualizes probability, and shows you the evolutionary process in real-time. This is NOT a strategy with automatic execution - it's a sophisticated signal generation system that you control .
What This Indicator Does:
Generates Long/Short entry signals with probability scores (35-88% range)
Evolves a population of up to 12 competing strategies using genetic algorithms
Validates strategies through walk-forward optimization (train/test cycles)
Visualizes signal quality through premium gradient clouds and confidence halos
Displays comprehensive metrics via enhanced dashboard
Provides alerts for entries and exits
Works on any timeframe, any instrument, any broker
What This Indicator Does NOT Do:
Execute trades automatically
Manage positions or calculate position sizes
Place orders on your behalf
Make trading decisions for you
This is pure signal intelligence. AGE tells you when and how confident it is. You decide whether and how much to trade.
🔬 THE SCIENCE: GENETIC ALGORITHMS MEET TECHNICAL ANALYSIS
What Makes This Different - The Evolutionary Foundation
Most indicators are static - they use the same parameters forever, regardless of market conditions. AGE is alive . It maintains a population of competing strategies that evolve, adapt, and improve through natural selection principles:
Birth: New strategies spawn through crossover breeding (combining DNA from fit parents) plus random mutation for exploration
Life: Each strategy trades virtually via shadow portfolios, accumulating wins/losses, tracking drawdown, and building performance history
Selection: Strategies are ranked by comprehensive fitness scoring (win rate, expectancy, drawdown control, signal efficiency)
Death: Weak strategies are culled periodically, with elite performers (top 2 by default) protected from removal
Evolution: The gene pool continuously improves as successful traits propagate and unsuccessful ones die out
This is not curve-fitting. Each new strategy must prove itself on out-of-sample data through walk-forward validation before being trusted for live signals.
🧪 THE DNA: WHAT EVOLVES
Every strategy carries a 10-gene chromosome controlling how it interprets market data:
Signal Sensitivity Genes
Entropy Sensitivity (0.5-2.0): Weight given to market order/disorder calculations. Low values = conservative, require strong directional clarity. High values = aggressive, act on weaker order signals.
Momentum Sensitivity (0.5-2.0): Weight given to RSI/ROC/MACD composite. Controls responsiveness to momentum shifts vs. mean-reversion setups.
Structure Sensitivity (0.5-2.0): Weight given to support/resistance positioning. Determines how much price location within swing range matters.
Probability Adjustment Genes
Probability Boost (-0.10 to +0.10): Inherent bias toward aggressive (+) or conservative (-) entries. Acts as personality trait - some strategies naturally optimistic, others pessimistic.
Trend Strength Requirement (0.3-0.8): Minimum trend conviction needed before signaling. Higher values = only trades strong trends, lower values = acts in weak/sideways markets.
Volume Filter (0.5-1.5): Strictness of volume confirmation. Higher values = requires strong volume, lower values = volume less important.
Risk Management Genes
ATR Multiplier (1.5-4.0): Base volatility scaling for all price levels. Controls whether strategy uses tight or wide stops/targets relative to ATR.
Stop Multiplier (1.0-2.5): Stop loss tightness. Lower values = aggressive profit protection, higher values = more breathing room.
Target Multiplier (1.5-4.0): Profit target ambition. Lower values = quick scalping exits, higher values = swing trading holds.
Adaptation Gene
Regime Adaptation (0.0-1.0): How much strategy adjusts behavior based on detected market regime (trending/volatile/choppy). Higher values = more reactive to regime changes.
The Magic: AGE doesn't just try random combinations. Through tournament selection and fitness-weighted crossover, successful gene combinations spread through the population while unsuccessful ones fade away. Over 50-100 bars, you'll see the population converge toward genes that work for YOUR instrument and timeframe.
📊 THE SIGNAL ENGINE: THREE-LAYER SYNTHESIS
Before any strategy generates a signal, AGE calculates probability through multi-indicator confluence:
Layer 1 - Market Entropy (Information Theory)
Measures whether price movements exhibit directional order or random walk characteristics:
The Math:
Shannon Entropy = -Σ(p × log(p))
Market Order = 1 - (Entropy / 0.693)
What It Means:
High entropy = choppy, random market → low confidence signals
Low entropy = directional market → high confidence signals
Direction determined by up-move vs down-move dominance over lookback period (default: 20 bars)
Signal Output: -1.0 to +1.0 (bearish order to bullish order)
Layer 2 - Momentum Synthesis
Combines three momentum indicators into single composite score:
Components:
RSI (40% weight): Normalized to -1/+1 scale using (RSI-50)/50
Rate of Change (30% weight): Percentage change over lookback (default: 14 bars), clamped to ±1
MACD Histogram (30% weight): Fast(12) - Slow(26), normalized by ATR
Why This Matters: RSI catches mean-reversion opportunities, ROC catches raw momentum, MACD catches momentum divergence. Weighting favors RSI for reliability while keeping other perspectives.
Signal Output: -1.0 to +1.0 (strong bearish to strong bullish)
Layer 3 - Structure Analysis
Evaluates price position within swing range (default: 50-bar lookback):
Position Classification:
Bottom 20% of range = Support Zone → bullish bounce potential
Top 20% of range = Resistance Zone → bearish rejection potential
Middle 60% = Neutral Zone → breakout/breakdown monitoring
Signal Logic:
At support + bullish candle = +0.7 (strong buy setup)
At resistance + bearish candle = -0.7 (strong sell setup)
Breaking above range highs = +0.5 (breakout confirmation)
Breaking below range lows = -0.5 (breakdown confirmation)
Consolidation within range = ±0.3 (weak directional bias)
Signal Output: -1.0 to +1.0 (bearish structure to bullish structure)
Confluence Voting System
Each layer casts a vote (Long/Short/Neutral). The system requires minimum 2-of-3 agreement (configurable 1-3) before generating a signal:
Examples:
Entropy: Bullish, Momentum: Bullish, Structure: Neutral → Signal generated (2 long votes)
Entropy: Bearish, Momentum: Neutral, Structure: Neutral → No signal (only 1 short vote)
All three bullish → Signal generated with +5% probability bonus
This is the key to quality. Single indicators give too many false signals. Triple confirmation dramatically improves accuracy.
📈 PROBABILITY CALCULATION: HOW CONFIDENCE IS MEASURED
Base Probability:
Raw_Prob = 50% + (Average_Signal_Strength × 25%)
Then AGE applies strategic adjustments:
Trend Alignment:
Signal with trend: +4%
Signal against strong trend: -8%
Weak/no trend: no adjustment
Regime Adaptation:
Trending market (efficiency >50%, moderate vol): +3%
Volatile market (vol ratio >1.5x): -5%
Choppy market (low efficiency): -2%
Volume Confirmation:
Volume > 70% of 20-bar SMA: no change
Volume below threshold: -3%
Volatility State (DVS Ratio):
High vol (>1.8x baseline): -4% (reduce confidence in chaos)
Low vol (<0.7x baseline): -2% (markets can whipsaw in compression)
Moderate elevated vol (1.0-1.3x): +2% (trending conditions emerging)
Confluence Bonus:
All 3 indicators agree: +5%
2 of 3 agree: +2%
Strategy Gene Adjustment:
Probability Boost gene: -10% to +10%
Regime Adaptation gene: scales regime adjustments by 0-100%
Final Probability: Clamped between 35% (minimum) and 88% (maximum)
Why These Ranges?
Below 35% = too uncertain, better not to signal
Above 88% = unrealistic, creates overconfidence
Sweet spot: 65-80% for quality entries
🔄 THE SHADOW PORTFOLIO SYSTEM: HOW STRATEGIES COMPETE
Each active strategy maintains a virtual trading account that executes in parallel with real-time data:
Shadow Trading Mechanics
Entry Logic:
Calculate signal direction, probability, and confluence using strategy's unique DNA
Check if signal meets quality gate:
Probability ≥ configured minimum threshold (default: 65%)
Confluence ≥ configured minimum (default: 2 of 3)
Direction is not zero (must be long or short, not neutral)
Verify signal persistence:
Base requirement: 2 bars (configurable 1-5)
Adapts based on probability: high-prob signals (75%+) enter 1 bar faster, low-prob signals need 1 bar more
Adjusts for regime: trending markets reduce persistence by 1, volatile markets add 1
Apply additional filters:
Trend strength must exceed strategy's requirement gene
Regime filter: if volatile market detected, probability must be 72%+ to override
Volume confirmation required (volume > 70% of average)
If all conditions met for required persistence bars, enter shadow position at current close price
Position Management:
Entry Price: Recorded at close of entry bar
Stop Loss: ATR-based distance = ATR × ATR_Mult (gene) × Stop_Mult (gene) × DVS_Ratio
Take Profit: ATR-based distance = ATR × ATR_Mult (gene) × Target_Mult (gene) × DVS_Ratio
Position: +1 (long) or -1 (short), only one at a time per strategy
Exit Logic:
Check if price hit stop (on low) or target (on high) on current bar
Record trade outcome in R-multiples (profit/loss normalized by ATR)
Update performance metrics:
Total trades counter incremented
Wins counter (if profit > 0)
Cumulative P&L updated
Peak equity tracked (for drawdown calculation)
Maximum drawdown from peak recorded
Enter cooldown period (default: 8 bars, configurable 3-20) before next entry allowed
Reset signal age counter to zero
Walk-Forward Tracking:
During position lifecycle, trades are categorized:
Training Phase (first 250 bars): Trade counted toward training metrics
Testing Phase (next 75 bars): Trade counted toward testing metrics (out-of-sample)
Live Phase (after WFO period): Trade counted toward overall metrics
Why Shadow Portfolios?
No lookahead bias (uses only data available at the bar)
Realistic execution simulation (entry on close, stop/target checks on high/low)
Independent performance tracking for true fitness comparison
Allows safe experimentation without risking capital
Each strategy learns from its own experience
🏆 FITNESS SCORING: HOW STRATEGIES ARE RANKED
Fitness is not just win rate. AGE uses a comprehensive multi-factor scoring system:
Core Metrics (Minimum 3 trades required)
Win Rate (30% of fitness):
WinRate = Wins / TotalTrades
Normalized directly (0.0-1.0 scale)
Total P&L (30% of fitness):
Normalized_PnL = (PnL + 300) / 600
Clamped 0.0-1.0. Assumes P&L range of -300R to +300R for normalization scale.
Expectancy (25% of fitness):
Expectancy = Total_PnL / Total_Trades
Normalized_Expectancy = (Expectancy + 30) / 60
Clamped 0.0-1.0. Rewards consistency of profit per trade.
Drawdown Control (15% of fitness):
Normalized_DD = 1 - (Max_Drawdown / 15)
Clamped 0.0-1.0. Penalizes strategies that suffer large equity retracements from peak.
Sample Size Adjustment
Quality Factor:
<50 trades: 1.0 (full weight, small sample)
50-100 trades: 0.95 (slight penalty for medium sample)
100 trades: 0.85 (larger penalty for large sample)
Why penalize more trades? Prevents strategies from gaming the system by taking hundreds of tiny trades to inflate statistics. Favors quality over quantity.
Bonus Adjustments
Walk-Forward Validation Bonus:
if (WFO_Validated):
Fitness += (WFO_Efficiency - 0.5) × 0.1
Strategies proven on out-of-sample data receive up to +10% fitness boost based on test/train efficiency ratio.
Signal Efficiency Bonus (if diagnostics enabled):
if (Signals_Evaluated > 10):
Pass_Rate = Signals_Passed / Signals_Evaluated
Fitness += (Pass_Rate - 0.1) × 0.05
Rewards strategies that generate high-quality signals passing the quality gate, not just profitable trades.
Final Fitness: Clamped at 0.0 minimum (prevents negative fitness values)
Result: Elite strategies typically achieve 0.50-0.75 fitness. Anything above 0.60 is excellent. Below 0.30 is prime candidate for culling.
🔬 WALK-FORWARD OPTIMIZATION: ANTI-OVERFITTING PROTECTION
This is what separates AGE from curve-fitted garbage indicators.
The Three-Phase Process
Every new strategy undergoes a rigorous validation lifecycle:
Phase 1 - Training Window (First 250 bars, configurable 100-500):
Strategy trades normally via shadow portfolio
All trades count toward training performance metrics
System learns which gene combinations produce profitable patterns
Tracks independently: Training_Trades, Training_Wins, Training_PnL
Phase 2 - Testing Window (Next 75 bars, configurable 30-200):
Strategy continues trading without any parameter changes
Trades now count toward testing performance metrics (separate tracking)
This is out-of-sample data - strategy has never seen these bars during "optimization"
Tracks independently: Testing_Trades, Testing_Wins, Testing_PnL
Phase 3 - Validation Check:
Minimum_Trades = 5 (configurable 3-15)
IF (Train_Trades >= Minimum AND Test_Trades >= Minimum):
WR_Efficiency = Test_WinRate / Train_WinRate
Expectancy_Efficiency = Test_Expectancy / Train_Expectancy
WFO_Efficiency = (WR_Efficiency + Expectancy_Efficiency) / 2
IF (WFO_Efficiency >= 0.55): // configurable 0.3-0.9
Strategy.Validated = TRUE
Strategy receives fitness bonus
ELSE:
Strategy receives 30% fitness penalty
ELSE:
Validation deferred (insufficient trades in one or both periods)
What Validation Means
Validated Strategy (Green "✓ VAL" in dashboard):
Performed at least 55% as well on unseen data compared to training data
Gets fitness bonus: +(efficiency - 0.5) × 0.1
Receives priority during tournament selection for breeding
More likely to be chosen as active trading strategy
Unvalidated Strategy (Orange "○ TRAIN" in dashboard):
Failed to maintain performance on test data (likely curve-fitted to training period)
Receives 30% fitness penalty (0.7x multiplier)
Makes strategy prime candidate for culling
Can still trade but with lower selection probability
Insufficient Data (continues collecting):
Hasn't completed both training and testing periods yet
OR hasn't achieved minimum trade count in both periods
Validation check deferred until requirements met
Why 55% Efficiency Threshold?
If a strategy earned 10R during training but only 5.5R during testing, it still proved an edge exists beyond random luck. Requiring 100% efficiency would be unrealistic - market conditions change between periods. But requiring >50% ensures the strategy didn't completely degrade on fresh data.
The Protection: Strategies that work great on historical data but fail on new data are automatically identified and penalized. This prevents the population from being polluted by overfitted strategies that would fail in live trading.
🌊 DYNAMIC VOLATILITY SCALING (DVS): ADAPTIVE STOP/TARGET PLACEMENT
AGE doesn't use fixed stop distances. It adapts to current volatility conditions in real-time.
Four Volatility Measurement Methods
1. ATR Ratio (Simple Method):
Current_Vol = ATR(14) / Close
Baseline_Vol = SMA(Current_Vol, 100)
Ratio = Current_Vol / Baseline_Vol
Basic comparison of current ATR to 100-bar moving average baseline.
2. Parkinson (High-Low Range Based):
For each bar: HL = log(High / Low)
Parkinson_Vol = sqrt(Σ(HL²) / (4 × Period × log(2)))
More stable than close-to-close volatility. Captures intraday range expansion without overnight gap noise.
3. Garman-Klass (OHLC Based):
HL_Term = 0.5 × ²
CO_Term = (2×log(2) - 1) × ²
GK_Vol = sqrt(Σ(HL_Term - CO_Term) / Period)
Most sophisticated estimator. Incorporates all four price points (open, high, low, close) plus gap information.
4. Ensemble Method (Default - Median of All Three):
Ratio_1 = ATR_Current / ATR_Baseline
Ratio_2 = Parkinson_Current / Parkinson_Baseline
Ratio_3 = GK_Current / GK_Baseline
DVS_Ratio = Median(Ratio_1, Ratio_2, Ratio_3)
Why Ensemble?
Takes median to avoid outliers and false spikes
If ATR jumps but range-based methods stay calm, median prevents overreaction
If one method fails, other two compensate
Most robust approach across different market conditions
Sensitivity Scaling
Scaled_Ratio = (Raw_Ratio) ^ Sensitivity
Sensitivity 0.3: Cube root - heavily dampens volatility impact
Sensitivity 0.5: Square root - moderate dampening
Sensitivity 0.7 (Default): Balanced response to volatility changes
Sensitivity 1.0: Linear - full 1:1 volatility impact
Sensitivity 1.5: Exponential - amplified response to volatility spikes
Safety Clamps: Final DVS Ratio always clamped between 0.5x and 2.5x baseline to prevent extreme position sizing or stop placement errors.
How DVS Affects Shadow Trading
Every strategy's stop and target distances are multiplied by the current DVS ratio:
Stop Loss Distance:
Stop_Distance = ATR × ATR_Mult (gene) × Stop_Mult (gene) × DVS_Ratio
Take Profit Distance:
Target_Distance = ATR × ATR_Mult (gene) × Target_Mult (gene) × DVS_Ratio
Example Scenario:
ATR = 10 points
Strategy's ATR_Mult gene = 2.5
Strategy's Stop_Mult gene = 1.5
Strategy's Target_Mult gene = 2.5
DVS_Ratio = 1.4 (40% above baseline volatility - market heating up)
Stop = 10 × 2.5 × 1.5 × 1.4 = 52.5 points (vs. 37.5 in normal vol)
Target = 10 × 2.5 × 2.5 × 1.4 = 87.5 points (vs. 62.5 in normal vol)
Result:
During volatility spikes: Stops automatically widen to avoid noise-based exits, targets extend for bigger moves
During calm periods: Stops tighten for better risk/reward, targets compress for realistic profit-taking
Strategies adapt risk management to match current market behavior
🧬 THE EVOLUTIONARY CYCLE: SPAWN, COMPETE, CULL
Initialization (Bar 1)
AGE begins with 4 seed strategies (if evolution enabled):
Seed Strategy #0 (Balanced):
All sensitivities at 1.0 (neutral)
Zero probability boost
Moderate trend requirement (0.4)
Standard ATR/stop/target multiples (2.5/1.5/2.5)
Mid-level regime adaptation (0.5)
Seed Strategy #1 (Momentum-Focused):
Lower entropy sensitivity (0.7), higher momentum (1.5)
Slight probability boost (+0.03)
Higher trend requirement (0.5)
Tighter stops (1.3), wider targets (3.0)
Seed Strategy #2 (Entropy-Driven):
Higher entropy sensitivity (1.5), lower momentum (0.8)
Slight probability penalty (-0.02)
More trend tolerant (0.6)
Wider stops (1.8), standard targets (2.5)
Seed Strategy #3 (Structure-Based):
Balanced entropy/momentum (0.8/0.9), high structure (1.4)
Slight probability boost (+0.02)
Lower trend requirement (0.35)
Moderate risk parameters (1.6/2.8)
All seeds start with WFO validation bypassed if WFO is disabled, or must validate if enabled.
Spawning New Strategies
Timing (Adaptive):
Historical phase: Every 30 bars (configurable 10-100)
Live phase: Every 200 bars (configurable 100-500)
Automatically switches to live timing when barstate.isrealtime triggers
Conditions:
Current population < max population limit (default: 8, configurable 4-12)
At least 2 active strategies exist (need parents)
Available slot in population array
Selection Process:
Run tournament selection 3 times with different seeds
Each tournament: randomly sample active strategies, pick highest fitness
Best from 3 tournaments becomes Parent 1
Repeat independently for Parent 2
Ensures fit parents but maintains diversity
Crossover Breeding:
For each of 10 genes:
Parent1_Fitness = fitness
Parent2_Fitness = fitness
Weight1 = Parent1_Fitness / (Parent1_Fitness + Parent2_Fitness)
Gene1 = parent1's value
Gene2 = parent2's value
Child_Gene = Weight1 × Gene1 + (1 - Weight1) × Gene2
Fitness-weighted crossover ensures fitter parent contributes more genetic material.
Mutation:
For each gene in child:
IF (random < mutation_rate):
Gene_Range = GENE_MAX - GENE_MIN
Noise = (random - 0.5) × 2 × mutation_strength × Gene_Range
Mutated_Gene = Clamp(Child_Gene + Noise, GENE_MIN, GENE_MAX)
Historical mutation rate: 20% (aggressive exploration)
Live mutation rate: 8% (conservative stability)
Mutation strength: 12% of gene range (configurable 5-25%)
Initialization of New Strategy:
Unique ID assigned (total_spawned counter)
Parent ID recorded
Generation = max(parent generations) + 1
Birth bar recorded (for age tracking)
All performance metrics zeroed
Shadow portfolio reset
WFO validation flag set to false (must prove itself)
Result: New strategy with hybrid DNA enters population, begins trading in next bar.
Competition (Every Bar)
All active strategies:
Calculate their signal based on unique DNA
Check quality gate with their thresholds
Manage shadow positions (entries/exits)
Update performance metrics
Recalculate fitness score
Track WFO validation progress
Strategies compete indirectly through fitness ranking - no direct interaction.
Culling Weak Strategies
Timing (Adaptive):
Historical phase: Every 60 bars (configurable 20-200, should be 2x spawn interval)
Live phase: Every 400 bars (configurable 200-1000, should be 2x spawn interval)
Minimum Adaptation Score (MAS):
Initial MAS = 0.10
MAS decays: MAS × 0.995 every cull cycle
Minimum MAS = 0.03 (floor)
MAS represents the "survival threshold" - strategies below this fitness level are vulnerable.
Culling Conditions (ALL must be true):
Population > minimum population (default: 3, configurable 2-4)
At least one strategy has fitness < MAS
Strategy's age > culling interval (prevents premature culling of new strategies)
Strategy is not in top N elite (default: 2, configurable 1-3)
Culling Process:
Find worst strategy:
For each active strategy:
IF (age > cull_interval):
Fitness = base_fitness
IF (not WFO_validated AND WFO_enabled):
Fitness × 0.7 // 30% penalty for unvalidated
IF (Fitness < MAS AND Fitness < worst_fitness_found):
worst_strategy = this_strategy
worst_fitness = Fitness
IF (worst_strategy found):
Count elite strategies with fitness > worst_fitness
IF (elite_count >= elite_preservation_count):
Deactivate worst_strategy (set active flag = false)
Increment total_culled counter
Elite Protection:
Even if a strategy's fitness falls below MAS, it survives if fewer than N strategies are better. This prevents culling when population is generally weak.
Result: Weak strategies removed from population, freeing slots for new spawns. Gene pool improves over time.
Selection for Display (Every Bar)
AGE chooses one strategy to display signals:
Best fitness = -1
Selected = none
For each active strategy:
Fitness = base_fitness
IF (WFO_validated):
Fitness × 1.3 // 30% bonus for validated strategies
IF (Fitness > best_fitness):
best_fitness = Fitness
selected_strategy = this_strategy
Display selected strategy's signals on chart
Result: Only the highest-fitness (optionally validated-boosted) strategy's signals appear as chart markers. Other strategies trade invisibly in shadow portfolios.
🎨 PREMIUM VISUALIZATION SYSTEM
AGE includes sophisticated visual feedback that standard indicators lack:
1. Gradient Probability Cloud (Optional, Default: ON)
Multi-layer gradient showing signal buildup 2-3 bars before entry:
Activation Conditions:
Signal persistence > 0 (same directional signal held for multiple bars)
Signal probability ≥ minimum threshold (65% by default)
Signal hasn't yet executed (still in "forming" state)
Visual Construction:
7 gradient layers by default (configurable 3-15)
Each layer is a line-fill pair (top line, bottom line, filled between)
Layer spacing: 0.3 to 1.0 × ATR above/below price
Outer layers = faint, inner layers = bright
Color transitions from base to intense based on layer position
Transparency scales with probability (high prob = more opaque)
Color Selection:
Long signals: Gradient from theme.gradient_bull_mid to theme.gradient_bull_strong
Short signals: Gradient from theme.gradient_bear_mid to theme.gradient_bear_strong
Base transparency: 92%, reduces by up to 8% for high-probability setups
Dynamic Behavior:
Cloud grows/shrinks as signal persistence increases/decreases
Redraws every bar while signal is forming
Disappears when signal executes or invalidates
Performance Note: Computationally expensive due to linefill objects. Disable or reduce layers if chart performance degrades.
2. Population Fitness Ribbon (Optional, Default: ON)
Histogram showing fitness distribution across active strategies:
Activation: Only draws on last bar (barstate.islast) to avoid historical clutter
Visual Construction:
10 histogram layers by default (configurable 5-20)
Plots 50 bars back from current bar
Positioned below price at: lowest_low(100) - 1.5×ATR (doesn't interfere with price action)
Each layer represents a fitness threshold (evenly spaced min to max fitness)
Layer Logic:
For layer_num from 0 to ribbon_layers:
Fitness_threshold = min_fitness + (max_fitness - min_fitness) × (layer / layers)
Count strategies with fitness ≥ threshold
Height = ATR × 0.15 × (count / total_active)
Y_position = base_level + ATR × 0.2 × layer
Color = Gradient from weak to strong based on layer position
Line_width = Scaled by height (taller = thicker)
Visual Feedback:
Tall, bright ribbon = healthy population, many fit strategies at high fitness levels
Short, dim ribbon = weak population, few strategies achieving good fitness
Ribbon compression (layers close together) = population converging to similar fitness
Ribbon spread = diverse fitness range, active selection pressure
Use Case: Quick visual health check without opening dashboard. Ribbon growing upward over time = population improving.
3. Confidence Halo (Optional, Default: ON)
Circular polyline around entry signals showing probability strength:
Activation: Draws when new position opens (shadow_position changes from 0 to ±1)
Visual Construction:
20-segment polyline forming approximate circle
Center: Low - 0.5×ATR (long) or High + 0.5×ATR (short)
Radius: 0.3×ATR (low confidence) to 1.0×ATR (elite confidence)
Scales with: (probability - min_probability) / (1.0 - min_probability)
Color Coding:
Elite (85%+): Cyan (theme.conf_elite), large radius, minimal transparency (40%)
Strong (75-85%): Strong green (theme.conf_strong), medium radius, moderate transparency (50%)
Good (65-75%): Good green (theme.conf_good), smaller radius, more transparent (60%)
Moderate (<65%): Moderate green (theme.conf_moderate), tiny radius, very transparent (70%)
Technical Detail:
Uses chart.point array with index-based positioning
5-bar horizontal spread for circular appearance (±5 bars from entry)
Curved=false (Pine Script polyline limitation)
Fill color matches line color but more transparent (88% vs line's transparency)
Purpose: Instant visual probability assessment. No need to check dashboard - halo size/brightness tells the story.
4. Evolution Event Markers (Optional, Default: ON)
Visual indicators of genetic algorithm activity:
Spawn Markers (Diamond, Cyan):
Plots when total_spawned increases on current bar
Location: bottom of chart (location.bottom)
Color: theme.spawn_marker (cyan/bright blue)
Size: tiny
Indicates new strategy just entered population
Cull Markers (X-Cross, Red):
Plots when total_culled increases on current bar
Location: bottom of chart (location.bottom)
Color: theme.cull_marker (red/pink)
Size: tiny
Indicates weak strategy just removed from population
What It Tells You:
Frequent spawning early = population building, active exploration
Frequent culling early = high selection pressure, weak strategies dying fast
Balanced spawn/cull = healthy evolutionary churn
No markers for long periods = stable population (evolution plateaued or optimal genes found)
5. Entry/Exit Markers
Clear visual signals for selected strategy's trades:
Long Entry (Triangle Up, Green):
Plots when selected strategy opens long position (position changes 0 → +1)
Location: below bar (location.belowbar)
Color: theme.long_primary (green/cyan depending on theme)
Transparency: Scales with probability:
Elite (85%+): 0% (fully opaque)
Strong (75-85%): 10%
Good (65-75%): 20%
Acceptable (55-65%): 35%
Size: small
Short Entry (Triangle Down, Red):
Plots when selected strategy opens short position (position changes 0 → -1)
Location: above bar (location.abovebar)
Color: theme.short_primary (red/pink depending on theme)
Transparency: Same scaling as long entries
Size: small
Exit (X-Cross, Orange):
Plots when selected strategy closes position (position changes ±1 → 0)
Location: absolute (at actual exit price if stop/target lines enabled)
Color: theme.exit_color (orange/yellow depending on theme)
Transparency: 0% (fully opaque)
Size: tiny
Result: Clean, probability-scaled markers that don't clutter chart but convey essential information.
6. Stop Loss & Take Profit Lines (Optional, Default: ON)
Visual representation of shadow portfolio risk levels:
Stop Loss Line:
Plots when selected strategy has active position
Level: shadow_stop value from selected strategy
Color: theme.short_primary with 60% transparency (red/pink, subtle)
Width: 2
Style: plot.style_linebr (breaks when no position)
Take Profit Line:
Plots when selected strategy has active position
Level: shadow_target value from selected strategy
Color: theme.long_primary with 60% transparency (green, subtle)
Width: 2
Style: plot.style_linebr (breaks when no position)
Purpose:
Shows where shadow portfolio would exit for stop/target
Helps visualize strategy's risk/reward ratio
Useful for manual traders to set similar levels
Disable for cleaner chart (recommended for presentations)
7. Dynamic Trend EMA
Gradient-colored trend line that visualizes trend strength:
Calculation:
EMA(close, trend_length) - default 50 period (configurable 20-100)
Slope calculated over 10 bars: (current_ema - ema ) / ema × 100
Color Logic:
Trend_direction:
Slope > 0.1% = Bullish (1)
Slope < -0.1% = Bearish (-1)
Otherwise = Neutral (0)
Trend_strength = abs(slope)
Color = Gradient between:
- Neutral color (gray/purple)
- Strong bullish (bright green) if direction = 1
- Strong bearish (bright red) if direction = -1
Gradient factor = trend_strength (0 to 1+ scale)
Visual Behavior:
Faint gray/purple = weak/no trend (choppy conditions)
Light green/red = emerging trend (low strength)
Bright green/red = strong trend (high conviction)
Color intensity = trend strength magnitude
Transparency: 50% (subtle, doesn't overpower price action)
Purpose: Subconscious awareness of trend state without checking dashboard or indicators.
8. Regime Background Tinting (Subtle)
Ultra-low opacity background color indicating detected market regime:
Regime Detection:
Efficiency = directional_movement / total_range (over trend_length bars)
Vol_ratio = current_volatility / average_volatility
IF (efficiency > 0.5 AND vol_ratio < 1.3):
Regime = Trending (1)
ELSE IF (vol_ratio > 1.5):
Regime = Volatile (2)
ELSE:
Regime = Choppy (0)
Background Colors:
Trending: theme.regime_trending (dark green, 92-93% transparency)
Volatile: theme.regime_volatile (dark red, 93% transparency)
Choppy: No tint (normal background)
Purpose:
Subliminal regime awareness
Helps explain why signals are/aren't generating
Trending = ideal conditions for AGE
Volatile = fewer signals, higher thresholds applied
Choppy = mixed signals, lower confidence
Important: Extremely subtle by design. Not meant to be obvious, just subconscious context.
📊 ENHANCED DASHBOARD
Comprehensive real-time metrics in single organized panel (top-right position):
Dashboard Structure (5 columns × 14 rows)
Header Row:
Column 0: "🧬 AGE PRO" + phase indicator (🔴 LIVE or ⏪ HIST)
Column 1: "POPULATION"
Column 2: "PERFORMANCE"
Column 3: "CURRENT SIGNAL"
Column 4: "ACTIVE STRATEGY"
Column 0: Market State
Regime (📈 TREND / 🌊 CHAOS / ➖ CHOP)
DVS Ratio (current volatility scaling factor, format: #.##)
Trend Direction (▲ BULL / ▼ BEAR / ➖ FLAT with color coding)
Trend Strength (0-100 scale, format: #.##)
Column 1: Population Metrics
Active strategies (count / max_population)
Validated strategies (WFO passed / active total)
Current generation number
Total spawned (all-time strategy births)
Total culled (all-time strategy deaths)
Column 2: Aggregate Performance
Total trades across all active strategies
Aggregate win rate (%) - color-coded:
Green (>55%)
Orange (45-55%)
Red (<45%)
Total P&L in R-multiples - color-coded by positive/negative
Best fitness score in population (format: #.###)
MAS - Minimum Adaptation Score (cull threshold, format: #.###)
Column 3: Current Signal Status
Status indicator:
"▲ LONG" (green) if selected strategy in long position
"▼ SHORT" (red) if selected strategy in short position
"⏳ FORMING" (orange) if signal persisting but not yet executed
"○ WAITING" (gray) if no active signal
Confidence percentage (0-100%, format: #.#%)
Quality assessment:
"🔥 ELITE" (cyan) for 85%+ probability
"✓ STRONG" (bright green) for 75-85%
"○ GOOD" (green) for 65-75%
"- LOW" (dim) for <65%
Confluence score (X/3 format)
Signal age:
"X bars" if signal forming
"IN TRADE" if position active
"---" if no signal
Column 4: Selected Strategy Details
Strategy ID number (#X format)
Validation status:
"✓ VAL" (green) if WFO validated
"○ TRAIN" (orange) if still in training/testing phase
Generation number (GX format)
Personal fitness score (format: #.### with color coding)
Trade count
P&L and win rate (format: #.#R (##%) with color coding)
Color Scheme:
Panel background: theme.panel_bg (dark, low opacity)
Panel headers: theme.panel_header (slightly lighter)
Primary text: theme.text_primary (bright, high contrast)
Secondary text: theme.text_secondary (dim, lower contrast)
Positive metrics: theme.metric_positive (green)
Warning metrics: theme.metric_warning (orange)
Negative metrics: theme.metric_negative (red)
Special markers: theme.validated_marker, theme.spawn_marker
Update Frequency: Only on barstate.islast (current bar) to minimize CPU usage
Purpose:
Quick overview of entire system state
No need to check multiple indicators
Trading decisions informed by population health, regime state, and signal quality
Transparency into what AGE is thinking
🔍 DIAGNOSTICS PANEL (Optional, Default: OFF)
Detailed signal quality tracking for optimization and debugging:
Panel Structure (3 columns × 8 rows)
Position: Bottom-right corner (doesn't interfere with main dashboard)
Header Row:
Column 0: "🔍 DIAGNOSTICS"
Column 1: "COUNT"
Column 2: "%"
Metrics Tracked (for selected strategy only):
Total Evaluated:
Every signal that passed initial calculation (direction ≠ 0)
Represents total opportunities considered
✓ Passed:
Signals that passed quality gate and executed
Green color coding
Percentage of evaluated signals
Rejection Breakdown:
⨯ Probability:
Rejected because probability < minimum threshold
Most common rejection reason typically
⨯ Confluence:
Rejected because confluence < minimum required (e.g., only 1 of 3 indicators agreed)
⨯ Trend:
Rejected because signal opposed strong trend
Indicates counter-trend protection working
⨯ Regime:
Rejected because volatile regime detected and probability wasn't high enough to override
Shows regime filter in action
⨯ Volume:
Rejected because volume < 70% of 20-bar average
Indicates volume confirmation requirement
Color Coding:
Passed count: Green (success metric)
Rejection counts: Red (failure metrics)
Percentages: Gray (neutral, informational)
Performance Cost: Slight CPU overhead for tracking counters. Disable when not actively optimizing settings.
How to Use Diagnostics
Scenario 1: Too Few Signals
Evaluated: 200
Passed: 10 (5%)
⨯ Probability: 120 (60%)
⨯ Confluence: 40 (20%)
⨯ Others: 30 (15%)
Diagnosis: Probability threshold too high for this strategy's DNA.
Solution: Lower min probability from 65% to 60%, or allow strategy more time to evolve better DNA.
Scenario 2: Too Many False Signals
Evaluated: 200
Passed: 80 (40%)
Strategy win rate: 45%
Diagnosis: Quality gate too loose, letting low-quality signals through.
Solution: Raise min probability to 70%, or increase min confluence to 3 (all indicators must agree).
Scenario 3: Regime-Specific Issues
⨯ Regime: 90 (45% of rejections)
Diagnosis: Frequent volatile regime detection blocking otherwise good signals.
Solution: Either accept fewer trades during chaos (recommended), or disable regime filter if you want signals regardless of market state.
Optimization Workflow:
Enable diagnostics
Run 200+ bars
Analyze rejection patterns
Adjust settings based on data
Re-run and compare pass rate
Disable diagnostics when satisfied
⚙️ CONFIGURATION GUIDE
🧬 Evolution Engine Settings
Enable AGE Evolution (Default: ON):
ON: Full genetic algorithm (recommended for best results)
OFF: Uses only 4 seed strategies, no spawning/culling (static population for comparison testing)
Max Population (4-12, Default: 8):
Higher = more diversity, more exploration, slower performance
Lower = faster computation, less exploration, risk of premature convergence
Sweet spot: 6-8 for most use cases
4 = minimum for meaningful evolution
12 = maximum before diminishing returns
Min Population (2-4, Default: 3):
Safety floor - system never culls below this count
Prevents population extinction during harsh selection
Should be at least half of max population
Elite Preservation (1-3, Default: 2):
Top N performers completely immune to culling
Ensures best genes always survive
1 = minimal protection, aggressive selection
2 = balanced (recommended)
3 = conservative, slower gene pool turnover
Historical: Spawn Interval (10-100, Default: 30):
Bars between spawning new strategies during historical data
Lower = faster evolution, more exploration
Higher = slower evolution, more evaluation time per strategy
30 bars = ~1-2 hours on 15min chart
Historical: Cull Interval (20-200, Default: 60):
Bars between culling weak strategies during historical data
Should be 2x spawn interval for balanced churn
Lower = aggressive selection pressure
Higher = patient evaluation
Live: Spawn Interval (100-500, Default: 200):
Bars between spawning during live trading
Much slower than historical for stability
Prevents population chaos during live trading
200 bars = ~1.5 trading days on 15min chart
Live: Cull Interval (200-1000, Default: 400):
Bars between culling during live trading
Should be 2x live spawn interval
Conservative removal during live trading
Historical: Mutation Rate (0.05-0.40, Default: 0.20):
Probability each gene mutates during breeding (20% = 2 out of 10 genes on average)
Higher = more exploration, slower convergence
Lower = more exploitation, faster convergence but risk of local optima
20% balances exploration vs exploitation
Live: Mutation Rate (0.02-0.20, Default: 0.08):
Mutation rate during live trading
Much lower for stability (don't want population to suddenly degrade)
8% = mostly inherits parent genes with small tweaks
Mutation Strength (0.05-0.25, Default: 0.12):
How much genes change when mutated (% of gene's total range)
0.05 = tiny nudges (fine-tuning)
0.12 = moderate jumps (recommended)
0.25 = large leaps (aggressive exploration)
Example: If gene range is 0.5-2.0, 12% strength = ±0.18 possible change
📈 Signal Quality Settings
Min Signal Probability (0.55-0.80, Default: 0.65):
Quality gate threshold - signals below this never generate
0.55-0.60 = More signals, accept lower confidence (higher risk)
0.65 = Institutional-grade balance (recommended)
0.70-0.75 = Fewer but higher-quality signals (conservative)
0.80+ = Very selective, very few signals (ultra-conservative)
Min Confluence Score (1-3, Default: 2):
Required indicator agreement before signal generates
1 = Any single indicator can trigger (not recommended - too many false signals)
2 = Requires 2 of 3 indicators agree (RECOMMENDED for balance)
3 = All 3 must agree (very selective, few signals, high quality)
Base Persistence Bars (1-5, Default: 2):
Base bars signal must persist before entry
System adapts automatically:
High probability signals (75%+) enter 1 bar faster
Low probability signals (<68%) need 1 bar more
Trending regime: -1 bar (faster entries)
Volatile regime: +1 bar (more confirmation)
1 = Immediate entry after quality gate (responsive but prone to whipsaw)
2 = Balanced confirmation (recommended)
3-5 = Patient confirmation (slower but more reliable)
Cooldown After Trade (3-20, Default: 8):
Bars to wait after exit before next entry allowed
Prevents overtrading and revenge trading
3 = Minimal cooldown (active trading)
8 = Balanced (recommended)
15-20 = Conservative (position trading)
Entropy Length (10-50, Default: 20):
Lookback period for market order/disorder calculation
Lower = more responsive to regime changes (noisy)
Higher = more stable regime detection (laggy)
20 = works across most timeframes
Momentum Length (5-30, Default: 14):
Period for RSI/ROC calculations
14 = standard (RSI default)
Lower = more signals, less reliable
Higher = fewer signals, more reliable
Structure Length (20-100, Default: 50):
Lookback for support/resistance swing range
20 = short-term swings (day trading)
50 = medium-term structure (recommended)
100 = major structure (position trading)
Trend EMA Length (20-100, Default: 50):
EMA period for trend detection and direction bias
20 = short-term trend (responsive)
50 = medium-term trend (recommended)
100 = long-term trend (position trading)
ATR Period (5-30, Default: 14):
Period for volatility measurement
14 = standard ATR
Lower = more responsive to vol changes
Higher = smoother vol calculation
📊 Volatility Scaling (DVS) Settings
Enable DVS (Default: ON):
Dynamic volatility scaling for adaptive stop/target placement
Highly recommended to leave ON
OFF only for testing fixed-distance stops
DVS Method (Default: Ensemble):
ATR Ratio: Simple, fast, single-method (good for beginners)
Parkinson: High-low range based (good for intraday)
Garman-Klass: OHLC based (sophisticated, considers gaps)
Ensemble: Median of all three (RECOMMENDED - most robust)
DVS Memory (20-200, Default: 100):
Lookback for baseline volatility comparison
20 = very responsive to vol changes (can overreact)
100 = balanced adaptation (recommended)
200 = slow, stable baseline (minimizes false vol signals)
DVS Sensitivity (0.3-1.5, Default: 0.7):
How much volatility affects scaling (power-law exponent)
0.3 = Conservative, heavily dampens vol impact (cube root)
0.5 = Moderate dampening (square root)
0.7 = Balanced response (recommended)
1.0 = Linear, full 1:1 vol response
1.5 = Aggressive, amplified response (exponential)
🔬 Walk-Forward Optimization Settings
Enable WFO (Default: ON):
Out-of-sample validation to prevent overfitting
Highly recommended to leave ON
OFF only for testing or if you want unvalidated strategies
Training Window (100-500, Default: 250):
Bars for in-sample optimization
100 = fast validation, less data (risky)
250 = balanced (recommended) - about 1-2 months on daily, 1-2 weeks on 15min
500 = patient validation, more data (conservative)
Testing Window (30-200, Default: 75):
Bars for out-of-sample validation
Should be ~30% of training window
30 = minimal test (fast validation)
75 = balanced (recommended)
200 = extensive test (very conservative)
Min Trades for Validation (3-15, Default: 5):
Required trades in BOTH training AND testing periods
3 = minimal sample (risky, fast validation)
5 = balanced (recommended)
10+ = conservative (slow validation, high confidence)
WFO Efficiency Threshold (0.3-0.9, Default: 0.55):
Minimum test/train performance ratio required
0.30 = Very loose (test must be 30% as good as training)
0.55 = Balanced (recommended) - test must be 55% as good
0.70+ = Strict (test must closely match training)
Higher = fewer validated strategies, lower risk of overfitting
🎨 Premium Visuals Settings
Visual Theme:
Neon Genesis: Cyberpunk aesthetic (cyan/magenta/purple)
Carbon Fiber: Industrial look (blue/red/gray)
Quantum Blue: Quantum computing (blue/purple/pink)
Aurora: Northern lights (teal/orange/purple)
⚡ Gradient Probability Cloud (Default: ON):
Multi-layer gradient showing signal buildup
Turn OFF if chart lags or for cleaner look
Cloud Gradient Layers (3-15, Default: 7):
More layers = smoother gradient, more CPU intensive
Fewer layers = faster, blockier appearance
🎗️ Population Fitness Ribbon (Default: ON):
Histogram showing fitness distribution
Turn OFF for cleaner chart
Ribbon Layers (5-20, Default: 10):
More layers = finer fitness detail
Fewer layers = simpler histogram
⭕ Signal Confidence Halo (Default: ON):
Circular indicator around entry signals
Size/brightness scales with probability
Minimal performance cost
🔬 Evolution Event Markers (Default: ON):
Diamond (spawn) and X (cull) markers
Shows genetic algorithm activity
Minimal performance cost
🎯 Stop/Target Lines (Default: ON):
Shows shadow portfolio stop/target levels
Turn OFF for cleaner chart (recommended for screenshots/presentations)
📊 Enhanced Dashboard (Default: ON):
Comprehensive metrics panel
Should stay ON unless you want zero overlays
🔍 Diagnostics Panel (Default: OFF):
Detailed signal rejection tracking
Turn ON when optimizing settings
Turn OFF during normal use (slight performance cost)
📈 USAGE WORKFLOW - HOW TO USE THIS INDICATOR
Phase 1: Initial Setup & Learning
Add AGE to your chart
Recommended timeframes: 15min, 30min, 1H (best signal-to-noise ratio)
Works on: 5min (day trading), 4H (swing trading), Daily (position trading)
Load 1000+ bars for sufficient evolution history
Let the population evolve (100+ bars minimum)
First 50 bars: Random exploration, poor results expected
Bars 50-150: Population converging, fitness improving
Bars 150+: Stable performance, validated strategies emerging
Watch the dashboard metrics
Population should grow toward max capacity
Generation number should advance regularly
Validated strategies counter should increase
Best fitness should trend upward toward 0.50-0.70 range
Observe evolution markers
Diamond markers (cyan) = new strategies spawning
X markers (red) = weak strategies being culled
Frequent early activity = healthy evolution
Activity slowing = population stabilizing
Be patient. Evolution takes time. Don't judge performance before 150+ bars.
Phase 2: Signal Observation
Watch signals form
Gradient cloud builds up 2-3 bars before entry
Cloud brightness = probability strength
Cloud thickness = signal persistence
Check signal quality
Look at confidence halo size when entry marker appears
Large bright halo = elite setup (85%+)
Medium halo = strong setup (75-85%)
Small halo = good setup (65-75%)
Verify market conditions
Check trend EMA color (green = uptrend, red = downtrend, gray = choppy)
Check background tint (green = trending, red = volatile, clear = choppy)
Trending background + aligned signal = ideal conditions
Review dashboard signal status
Current Signal column shows:
Status (Long/Short/Forming/Waiting)
Confidence % (actual probability value)
Quality assessment (Elite/Strong/Good)
Confluence score (2/3 or 3/3 preferred)
Only signals meeting ALL quality gates appear on chart. If you're not seeing signals, population is either still learning or market conditions aren't suitable.
Phase 3: Manual Trading Execution
When Long Signal Fires:
Verify confidence level (dashboard or halo size)
Confirm trend alignment (EMA sloping up, green color)
Check regime (preferably trending or choppy, avoid volatile)
Enter long manually on your broker platform
Set stop loss at displayed stop line level (if lines enabled), or use your own risk management
Set take profit at displayed target line level, or trail manually
Monitor position - exit if X marker appears (signal reversal)
When Short Signal Fires:
Same verification process
Confirm downtrend (EMA sloping down, red color)
Enter short manually
Use displayed stop/target levels or your own
AGE tells you WHEN and HOW CONFIDENT. You decide WHETHER and HOW MUCH.
Phase 4: Set Up Alerts (Never Miss a Signal)
Right-click on indicator name in legend
Select "Add Alert"
Choose condition:
"AGE Long" = Long entry signal fired
"AGE Short" = Short entry signal fired
"AGE Exit" = Position reversal/exit signal
Set notification method:
Sound alert (popup on chart)
Email notification
Webhook to phone/trading platform
Mobile app push notification
Name the alert (e.g., "AGE BTCUSD 15min Long")
Save alert
Recommended: Set alerts for both long and short, enable mobile push notifications. You'll get alerted in real-time even if not watching charts.
Phase 5: Monitor Population Health
Weekly Review:
Check dashboard Population column:
Active count should be near max (6-8 of 8)
Validated count should be >50% of active
Generation should be advancing (1-2 per week typical)
Check dashboard Performance column:
Aggregate win rate should be >50% (target: 55-65%)
Total P&L should be positive (may fluctuate)
Best fitness should be >0.50 (target: 0.55-0.70)
MAS should be declining slowly (normal adaptation)
Check Active Strategy column:
Selected strategy should be validated (✓ VAL)
Personal fitness should match best fitness
Trade count should be accumulating
Win rate should be >50%
Warning Signs:
Zero validated strategies after 300+ bars = settings too strict or market unsuitable
Best fitness stuck <0.30 = population struggling, consider parameter adjustment
No spawning/culling for 200+ bars = evolution stalled (may be optimal or need reset)
Aggregate win rate <45% sustained = system not working on this instrument/timeframe
Health Check Pass:
50%+ strategies validated
Best fitness >0.50
Aggregate win rate >52%
Regular spawn/cull activity
Selected strategy validated
Phase 6: Optimization (If Needed)
Enable Diagnostics Panel (bottom-right) for data-driven tuning:
Problem: Too Few Signals
Evaluated: 200
Passed: 8 (4%)
⨯ Probability: 140 (70%)
Solutions:
Lower min probability: 65% → 60% or 55%
Reduce min confluence: 2 → 1
Lower base persistence: 2 → 1
Increase mutation rate temporarily to explore new genes
Check if regime filter is blocking signals (⨯ Regime high?)
Problem: Too Many False Signals
Evaluated: 200
Passed: 90 (45%)
Win rate: 42%
Solutions:
Raise min probability: 65% → 70% or 75%
Increase min confluence: 2 → 3
Raise base persistence: 2 → 3
Enable WFO if disabled (validates strategies before use)
Check if volume filter is being ignored (⨯ Volume low?)
Problem: Counter-Trend Losses
⨯ Trend: 5 (only 5% rejected)
Losses often occur against trend
Solutions:
System should already filter trend opposition
May need stronger trend requirement
Consider only taking signals aligned with higher timeframe trend
Use longer trend EMA (50 → 100)
Problem: Volatile Market Whipsaws
⨯ Regime: 100 (50% rejected by volatile regime)
Still getting stopped out frequently
Solutions:
System is correctly blocking volatile signals
Losses happening because vol filter isn't strict enough
Consider not trading during volatile periods (respect the regime)
Or disable regime filter and accept higher risk
Optimization Workflow:
Enable diagnostics
Run 200+ bars with current settings
Analyze rejection patterns and win rate
Make ONE change at a time (scientific method)
Re-run 200+ bars and compare results
Keep change if improvement, revert if worse
Disable diagnostics when satisfied
Never change multiple parameters at once - you won't know what worked.
Phase 7: Multi-Instrument Deployment
AGE learns independently on each chart:
Recommended Strategy:
Deploy AGE on 3-5 different instruments
Different asset classes ideal (e.g., ES futures, EURUSD, BTCUSD, SPY, Gold)
Each learns optimal strategies for that instrument's personality
Take signals from all 5 charts
Natural diversification reduces overall risk
Why This Works:
When one market is choppy, others may be trending
Different instruments respond to different news/catalysts
Portfolio-level win rate more stable than single-instrument
Evolution explores different parameter spaces on each chart
Setup:
Same settings across all charts (or customize if preferred)
Set alerts for all
Take every validated signal across all instruments
Position size based on total account (don't overleverage any single signal)
⚠️ REALISTIC EXPECTATIONS - CRITICAL READING
What AGE Can Do
✅ Generate probability-weighted signals using genetic algorithms
✅ Evolve strategies in real-time through natural selection
✅ Validate strategies on out-of-sample data (walk-forward optimization)
✅ Adapt to changing market conditions automatically over time
✅ Provide comprehensive metrics on population health and signal quality
✅ Work on any instrument, any timeframe, any broker
✅ Improve over time as weak strategies are culled and fit strategies breed
What AGE Cannot Do
❌ Win every trade (typical win rate: 55-65% at best)
❌ Predict the future with certainty (markets are probabilistic, not deterministic)
❌ Work perfectly from bar 1 (needs 100-150 bars to learn and stabilize)
❌ Guarantee profits under all market conditions
❌ Replace your trading discipline and risk management
❌ Execute trades automatically (this is an indicator, not a strategy)
❌ Prevent all losses (drawdowns are normal and expected)
❌ Adapt instantly to regime changes (re-learning takes 50-100 bars)
Performance Realities
Typical Performance After Evolution Stabilizes (150+ bars):
Win Rate: 55-65% (excellent for trend-following systems)
Profit Factor: 1.5-2.5 (realistic for validated strategies)
Signal Frequency: 5-15 signals per 100 bars (quality over quantity)
Drawdown Periods: 20-40% of time in equity retracement (normal trading reality)
Max Consecutive Losses: 5-8 losses possible even with 60% win rate (probability says this is normal)
Evolution Timeline:
Bars 0-50: Random exploration, learning phase - poor results expected, don't judge yet
Bars 50-150: Population converging, fitness climbing - results improving
Bars 150-300: Stable performance, most strategies validated - consistent results
Bars 300+: Mature population, optimal genes dominant - best results
Market Condition Dependency:
Trending Markets: AGE excels - clear directional moves, high-probability setups
Choppy Markets: AGE struggles - fewer signals generated, lower win rate
Volatile Markets: AGE cautious - higher rejection rate, wider stops, fewer trades
Market Regime Changes:
When market shifts from trending to choppy overnight
Validated strategies can become temporarily invalidated
AGE will adapt through evolution, but not instantly
Expect 50-100 bar re-learning period after major regime shifts
Fitness may temporarily drop then recover
This is NOT a holy grail. It's a sophisticated signal generator that learns and adapts using genetic algorithms. Your success depends on:
Patience during learning periods (don't abandon after 3 losses)
Proper position sizing (risk 0.5-2% per trade, not 10%)
Following signals consistently (cherry-picking defeats statistical edge)
Not abandoning system prematurely (give it 200+ bars minimum)
Understanding probability (60% win rate means 40% of trades WILL lose)
Respecting market conditions (trending = trade more, choppy = trade less)
Managing emotions (AGE is emotionless, you need to be too)
Expected Drawdowns:
Single-strategy max DD: 10-20% of equity (normal)
Portfolio across multiple instruments: 5-15% (diversification helps)
Losing streaks: 3-5 consecutive losses expected periodically
No indicator eliminates risk. AGE manages risk through:
Quality gates (rejecting low-probability signals)
Confluence requirements (multi-indicator confirmation)
Persistence requirements (no knee-jerk reactions)
Regime awareness (reduced trading in chaos)
Walk-forward validation (preventing overfitting)
But it cannot prevent all losses. That's inherent to trading.
🔧 TECHNICAL SPECIFICATIONS
Platform: TradingView Pine Script v5
Indicator Type: Overlay indicator (plots on price chart)
Execution Type: Signals only - no automatic order placement
Computational Load:
Moderate to High (genetic algorithms + shadow portfolios)
8 strategies × shadow portfolio simulation = significant computation
Premium visuals add additional load (gradient cloud, fitness ribbon)
TradingView Resource Limits (Built-in Caps):
Max Bars Back: 500 (sufficient for WFO and evolution)
Max Labels: 100 (plenty for entry/exit markers)
Max Lines: 150 (adequate for stop/target lines)
Max Boxes: 50 (not heavily used)
Max Polylines: 100 (confidence halos)
Recommended Chart Settings:
Timeframe: 15min to 1H (optimal signal/noise balance)
5min: Works but noisier, more signals
4H/Daily: Works but fewer signals
Bars Loaded: 1000+ (ensures sufficient evolution history)
Replay Mode: Excellent for testing without risk
Performance Optimization Tips:
Disable gradient cloud if chart lags (most CPU intensive visual)
Disable fitness ribbon if still laggy
Reduce cloud layers from 7 to 3
Reduce ribbon layers from 10 to 5
Turn off diagnostics panel unless actively tuning
Close other heavy indicators to free resources
Browser/Platform Compatibility:
Works on all modern browsers (Chrome, Firefox, Safari, Edge)
Mobile app supported (full functionality on phone/tablet)
Desktop app supported (best performance)
Web version supported (may be slower on older computers)
Data Requirements:
Real-time or delayed data both work
No special data feeds required
Works with TradingView's standard data
Historical + live data seamlessly integrated
🎓 THEORETICAL FOUNDATIONS
AGE synthesizes advanced concepts from multiple disciplines:
Evolutionary Computation
Genetic Algorithms (Holland, 1975): Population-based optimization through natural selection metaphor
Tournament Selection: Fitness-based parent selection with diversity preservation
Crossover Operators: Fitness-weighted gene recombination from two parents
Mutation Operators: Random gene perturbation for exploration of new parameter space
Elitism: Preservation of top N performers to prevent loss of best solutions
Adaptive Parameters: Different mutation rates for historical vs. live phases
Technical Analysis
Support/Resistance: Price structure within swing ranges
Trend Following: EMA-based directional bias
Momentum Analysis: RSI, ROC, MACD composite indicators
Volatility Analysis: ATR-based risk scaling
Volume Confirmation: Trade activity validation
Information Theory
Shannon Entropy (1948): Quantification of market order vs. disorder
Signal-to-Noise Ratio: Directional information vs. random walk
Information Content: How much "information" a price move contains
Statistics & Probability
Walk-Forward Analysis: Rolling in-sample/out-of-sample optimization
Out-of-Sample Validation: Testing on unseen data to prevent overfitting
Monte Carlo Principles: Shadow portfolio simulation with realistic execution
Expectancy Theory: Win rate × avg win - loss rate × avg loss
Probability Distributions: Signal confidence quantification
Risk Management
ATR-Based Stops: Volatility-normalized risk per trade
Volatility Regime Detection: Market state classification (trending/choppy/volatile)
Drawdown Control: Peak-to-trough equity measurement
R-Multiple Normalization: Performance measurement in risk units
Machine Learning Concepts
Online Learning: Continuous adaptation as new data arrives
Fitness Functions: Multi-objective optimization (win rate + expectancy + drawdown)
Exploration vs. Exploitation: Balance between trying new strategies and using proven ones
Overfitting Prevention: Walk-forward validation as regularization
Novel Contribution:
AGE is the first TradingView indicator to apply genetic algorithms to real-time indicator parameter optimization while maintaining strict anti-overfitting controls through walk-forward validation.
Most "adaptive" indicators simply recalibrate lookback periods or thresholds. AGE evolves entirely new strategies through competitive selection - it's not parameter tuning, it's Darwinian evolution of trading logic itself.
The combination of:
Genetic algorithm population management
Shadow portfolio simulation for realistic fitness evaluation
Walk-forward validation to prevent overfitting
Multi-indicator confluence for signal quality
Dynamic volatility scaling for adaptive risk
...creates a system that genuinely learns and improves over time while avoiding the curse of curve-fitting that plagues most optimization approaches.
🏗️ DEVELOPMENT NOTES
This project represents months of intensive development, facing significant technical challenges:
Challenge 1: Making Genetics Actually Work
Early versions spawned garbage strategies that polluted the gene pool:
Random gene combinations produced nonsensical parameter sets
Weak strategies survived too long, dragging down population
No clear convergence toward optimal solutions
Solution:
Comprehensive fitness scoring (4 factors: win rate, P&L, expectancy, drawdown)
Elite preservation (top 2 always protected)
Walk-forward validation (unproven strategies penalized 30%)
Tournament selection (fitness-weighted breeding)
Adaptive culling (MAS decay creates increasing selection pressure)
Challenge 2: Balancing Evolution Speed vs. Stability
Too fast = population chaos, no convergence. Too slow = can't adapt to regime changes.
Solution:
Dual-phase timing: Fast evolution during historical (30/60 bar intervals), slow during live (200/400 bar intervals)
Adaptive mutation rates: 20% historical, 8% live
Spawn/cull ratio: Always 2:1 to prevent population collapse
Challenge 3: Shadow Portfolio Accuracy
Needed realistic trade simulation without lookahead bias:
Can't peek at future bars for exits
Must track multiple portfolios simultaneously
Stop/target checks must use bar's high/low correctly
Solution:
Entry on close (realistic)
Exit checks on current bar's high/low (realistic)
Independent position tracking per strategy
Cooldown periods to prevent unrealistic rapid re-entry
ATR-normalized P&L (R-multiples) for fair comparison across volatility regimes
Challenge 4: Pine Script Compilation Limits
Hit TradingView's execution limits multiple times:
Too many array operations
Too many variables
Too complex conditional logic
Solution:
Optimized data structures (single DNA array instead of 8 separate arrays)
Minimal visual overlays (only essential plots)
Efficient fitness calculations (vectorized where possible)
Strategic use of barstate.islast to minimize dashboard updates
Challenge 5: Walk-Forward Implementation
Standard WFO is difficult in Pine Script:
Can't easily "roll forward" through historical data
Can't re-optimize strategies mid-stream
Must work in real-time streaming environment
Solution:
Age-based phase detection (first 250 bars = training, next 75 = testing)
Separate metric tracking for train vs. test
Efficiency calculation at fixed interval (after test period completes)
Validation flag persists for strategy lifetime
Challenge 6: Signal Quality Control
Early versions generated too many signals with poor win rates:
Single indicators produced excessive noise
No trend alignment
No regime awareness
Instant entries on single-bar spikes
Solution:
Three-layer confluence system (entropy + momentum + structure)
Minimum 2-of-3 agreement requirement
Trend alignment checks (penalty for counter-trend)
Regime-based probability adjustments
Persistence requirements (signals must hold multiple bars)
Volume confirmation
Quality gate (probability + confluence thresholds)
The Result
A system that:
Truly evolves (not just parameter sweeps)
Truly validates (out-of-sample testing)
Truly adapts (ongoing competition and breeding)
Stays within TradingView's platform constraints
Provides institutional-quality signals
Maintains transparency (full metrics dashboard)
Development time: 3+ months of iterative refinement
Lines of code: ~1500 (highly optimized)
Test instruments: ES, NQ, EURUSD, BTCUSD, SPY, AAPL
Test timeframes: 5min, 15min, 1H, Daily
🎯 FINAL WORDS
The Adaptive Genesis Engine is not just another indicator - it's a living system that learns, adapts, and improves through the same principles that drive biological evolution. Every bar it observes adds to its experience. Every strategy it spawns explores new parameter combinations. Every strategy it culls removes weakness from the gene pool.
This is evolution in action on your charts.
You're not getting a static formula locked in time. You're getting a system that thinks , that competes , that survives through natural selection. The strongest strategies rise to the top. The weakest die. The gene pool improves generation after generation.
AGE doesn't claim to predict the future - it adapts to whatever the future brings. When markets shift from trending to choppy, from calm to volatile, from bullish to bearish - AGE evolves new strategies suited to the new regime.
Use it on any instrument. Any timeframe. Any market condition. AGE will adapt.
This indicator gives you the pure signal intelligence. How you choose to act on it - position sizing, risk management, execution discipline - that's your responsibility. AGE tells you when and how confident . You decide whether and how much .
Trust the process. Respect the evolution. Let Darwin work.
"In markets, as in nature, it is not the strongest strategies that survive, nor the most intelligent - but those most responsive to change."
Taking you to school. — Dskyz, Trade with insight. Trade with anticipation.
— Happy Holiday's
Multi-Candle Reversal ConfirmationMulti-Candle Reversal Confirmation (MCRC)
This indicator identifies potential price reversals using a 3-candle confirmation pattern. It filters out noise by requiring a significant prior trend before signaling, helping you catch turning points rather than getting trapped in choppy price action.
How It Works
The indicator uses a three-step process to confirm reversals:
Candle 1 (Rejection) - Detects a rejection candle after a sustained move. This includes hammer/shooting star patterns with long wicks, doji candles showing indecision, or stall candles with unusually small bodies.
Candle 2 (Reversal) - Confirms the candle closes in the opposite direction of the prior trend.
Candle 3 (Confirmation) - Validates the reversal by either continuing in the new direction or breaking the high/low of the previous candle.
Key Features
Requires a significant prior trend before looking for reversals (no signals in choppy, sideways markets)
Uses ATR to measure move significance, adapting to current volatility
Marks rejection candles with small circles for early awareness
Confirmed signals shown as triangles with Bull/Bear labels
Built-in alerts for all signal types
Settings
Wick to Body Ratio - How pronounced the rejection wick must be compared to the candle body (default: 2.0)
Doji Threshold - Maximum body size relative to total range to qualify as a doji (default: 0.1)
Trend Lookback - Number of candles to analyze for prior trend detection (default: 5)
Trend Strength - Percentage of lookback candles required in trend direction (default: 0.6 = 60%)
Minimum Move (ATR multiple) - How large the prior move must be before signaling (default: 1.5)
Show Bullish/Bearish - Toggle each signal type on or off
Visual Signals
Small Circle - Marks potential rejection candles (first candle in the pattern)
Green Triangle (Bull) - Confirmed bullish reversal signal
Red Triangle (Bear) - Confirmed bearish reversal signal
Alerts
Three alert options are available:
Bullish Reversal Confirmed
Bearish Reversal Confirmed
Any Reversal Confirmed
How To Set Up Alerts
Add the indicator to your chart
Right-click on the chart and select "Add Alert" (or press Alt+A)
In the Condition dropdown, select "Multi-Candle Reversal Confirmation"
Choose your preferred alert type
Set notification preferences (popup, email, sound, webhook)
Click "Create"
Tips For Best Results
Combine with key support/resistance levels for higher probability trades
Use higher timeframe trend direction as a filter
Adjust Trend Lookback based on your timeframe (higher for longer timeframes)
Increase Minimum Move ATR in volatile conditions to reduce false signals
Signals appearing near VWAP, moving averages, or prior day levels tend to be more reliable
Note: This indicator is for informational purposes only and should not be used as the sole basis for trading decisions. Always use proper risk management and consider combining with other forms of analysis.
六脉齐发多空策略六脉齐发多空策略
# Six Meridians Unified Long/Short Strategy
## Overview
The "Six Meridians Unified Long/Short Strategy" is a comprehensive quantitative trading strategy built on TradingView Pine Script v6, designed for cross-asset long/short trading (stocks, cryptocurrencies, futures, forex, etc.). It leverages the resonance of **6 classic technical indicators** to filter high-confidence trading signals, reducing false signals caused by single-indicator bias and improving the reliability of entry/exit decisions.
## Core Indicators (6 "Meridians")
The strategy evaluates bullish/bearish trends by calculating 6 key technical indicators, with a "bullish count" system to quantify trend strength:
| Indicator | Calculation Parameters | Bullish Condition | Bearish Condition |
|-------------------------|------------------------------|--------------------------------------------|--------------------------------------------|
| MACD | Fast=12, Slow=26, Signal=9 | MACD line crosses above Signal line | MACD line crosses below Signal line |
| KDJ (Stochastic Oscillator) | Length=14, SmoothK=3, SmoothD=3 | K line > D line | K line < D line |
| RSI (Relative Strength Index) | Short=6, Long=12 | Short-period RSI (6) > Long-period RSI (12) | Short-period RSI (6) < Long-period RSI (12) |
| LWR (Modified Williams %R) | Length=14, Smooth=6 | LWR1 (WMA-smooth) > LWR2 (6-period WMA) | LWR1 < LWR2 |
| BBI (Bollinger Band Index) | EMA(3)+EMA(6)+EMA(12)+EMA(24) /4 | Close price > BBI line | Close price < BBI line |
| MTM (Momentum) | Period=12, MMS=6, MMM=14 | Short momentum line (MMS) > Long momentum line (MMM) | Short momentum line (MMS) < Long momentum line (MMM) |
## Trading Logic
The strategy uses a "count-based" trigger mechanism to execute position management (no pyramiding allowed):
### Long Position Rules
1. **Entry**: Open long position only when all 6 indicators show bullish signals (`bullCount = 6`).
2. **Partial Exit**: Reduce 50% of long position when 4 indicators remain bullish (`bullCount = 4`).
3. **Full Exit**: Close all long positions when ≤3 indicators are bullish (`bullCount ≤ 3`).
### Short Position Rules
1. **Entry**: Open short position only when all 6 indicators show bearish signals (`bearCount = 6`).
2. **Partial Exit**: Cover 50% of short position when 4 indicators remain bearish (`bearCount = 4`).
3. **Full Exit**: Close all short positions when ≤3 indicators are bearish (`bearCount ≤ 3`).
## Strategy Parameters (Risk & Capital Management)
| Parameter | Value | Description |
|--------------------------|----------------|----------------------------------------------|
| Initial Capital | $100,000 | Starting equity for backtesting |
| Default Order Size | $10,000 (cash) | Fixed cash amount per trade (instead of lots) |
| Commission | 0.1% per trade | Realistic transaction cost (percent-based) |
| Margin Requirement | 100% | No leverage (1:1 trading) |
| Pyramiding | 0 | No additional positions on existing trades |
## Key Features
1. **Multi-Indicator Resonance**: Eliminates noise from single-indicator false signals by requiring consensus across 6 diverse technical metrics.
2. **Gradual Position Management**: Partial exit (50%) before full closure to lock in profits and reduce downside risk.
3. **Full Automation**: Automatically executes entry/exit/position adjustment without manual intervention.
4. **Visualization Tools**: Plots BBI line, long/short signal labels, and bullish indicator count for easy strategy monitoring.
5. **Versatility**: Adaptable to multiple timeframes (15min, 1H, 4H, daily) and asset classes.
## Notes
- The strategy is optimized for trend-following markets and may underperform in choppy/range-bound conditions.
- Backtest results should be validated across different market cycles (bull, bear, sideways) before live trading.
- Parameters (e.g., indicator periods, order size) can be adjusted based on specific asset volatility and trading style.
AlphaStrike: Volatility & Pinbar Reversion SystemDescription:
The Concept: Solving the "Context" Problem One of the hardest challenges in trading is identifying whether the market is in a "Trend State" or a "Mean Reversion State." Using trend indicators in a range leads to false breakouts, while using reversal indicators in a strong trend leads to catching falling knives.
This script solves this issue by combining an ATR-based Trend Filter with a conditional Price Action Reversion engine. It does not simply overlay two indicators; it uses a filtering logic to ensure that Reversal signals are only generated when Momentum, Volatility, and Candle Geometry all align at the same time.
How It Works (The Logic) This script functions as a "Hybrid" system with two distinct engines running simultaneously:
1. The Trend Engine (Bias Filter) We use an ATR-based SuperTrend calculation to determine the dominant market direction.
Purpose: This acts as a "No Trade Zone" filter.
Logic: If the Trend Line is Green, the statistical bias is bullish. If Red, the bias is bearish. This helps traders avoid shorting strong uptrends or buying weak downtrends.
2. The Reversal Engine (Signal Generator) This is where the script differentiates itself from standard "Bollinger + RSI" mashups. A signal is NOT generated just because price hits a band. The script requires a specific "Pinbar" candle pattern to validate the move.
The "Blue Dot" (Bullish Reversal) Logic:
Condition A: Price must be below the Lower Bollinger Band (2 Standard Deviations).
Condition B: RSI (14) must be Oversold (< 35).
Condition C (The Filter): The candle must form a Bullish Pinbar. The script calculates the ratio of the lower wick to the body. If the wick is 2x longer than the body, it confirms that buyers actively rejected the lower prices.
The "Orange Dot" (Bearish Reversal) Logic:
Condition A: Price must be above the Upper Bollinger Band.
Condition B: RSI (14) must be Overbought (> 65).
Condition C (The Filter): The candle must form a Bearish Pinbar (long upper wick), indicating buyer exhaustion.
Visual Guide & Usage
Green/Red Line: Use this to trail your Stop Loss or determine trend direction.
Triangles (Breakouts): These marks indicate a shift in volatility where the trend officially flips.
Dots (Reversals): These are high-probability zones for scalps or entering on pullbacks.
Built-In Risk Management To assist with position sizing, a "Smart Risk" table is included in the bottom right corner.
It automatically detects the nearest market structure (Swing Highs/Lows).
It calculates the distance from the current price to that structure.
It displays the suggested position size to maintain a fixed risk percentage (configurable in Settings).
Note: You must input your Account Balance in the settings for this to work.
Settings
Crypto: Default settings (Factor 3.5) are optimized for high-volatility assets like BTC/ETH to reduce noise.
TradFi: For Forex or Stocks, consider lowering the Factor to 3.0.
Disclaimer This tool is designed for educational analysis and risk management assistance. It does not constitute financial advice. Past performance of signals (like those shown on the chart) does not guarantee future results. Always manage your risk.
EMA 20/50/200 - Warning Note Before Cross EMA 20/50/200 - Smart Cross Detection with Customizable Alerts
A clean and minimalistic indicator that tracks three key Exponential Moving Averages (20, 50, and 200) with intelligent near-cross detection and customizable warning system.
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📊 KEY FEATURES
✓ Triple EMA System
• EMA 20 (Red) - Fast/Short-term trend
• EMA 50 (Yellow) - Medium/Intermediate trend
• EMA 200 (Green) - Slow/Long-term trend & major support/resistance
✓ Smart Near-Cross Detection
• Get warned BEFORE crosses happen (not after)
• Adjustable threshold percentage (how close is "close")
• Automatic hiding after cross to prevent false signals
• Configurable lookback period
✓ Dual Warning System
• Price Label: Appears directly on chart near EMAs
• Info Table: Positioned anywhere on your chart
• Both show distance percentage and direction
• Dynamic positioning to avoid blocking candles
✓ Color-Coded Alerts
• GREEN warning = Bullish cross approaching (EMA 20 crossing UP through EMA 50)
• RED warning = Bearish cross approaching (EMA 20 crossing DOWN through EMA 50)
✓ Cross Signal Detection
• Golden Cross (EMA 50 crosses above EMA 200)
• Death Cross (EMA 50 crosses below EMA 200)
• Fast crosses (EMA 20 and EMA 50)
═══════════════════════════════════════════════════════════════════
⚙️ CUSTOMIZATION OPTIONS
Warning Settings:
• Custom warning text for bull/bear signals
• Adjustable opacity for better visibility
• Toggle distance and direction display
• Flexible table positioning (9 positions available)
• 5 text size options
Alert Settings:
• Golden/Death Cross alerts
• Fast cross alerts (20/50)
• Near-cross warnings (before it happens)
• All alerts are non-repainting
Display Options:
• Show/hide each EMA individually
• Toggle all signals on/off
• Adjustable threshold sensitivity
• Dynamic label positioning
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🎯 HOW TO USE
1. ADD TO CHART
Simply add the indicator to any chart and timeframe
2. ADJUST THRESHOLD
Default is 0.5% - increase for less frequent warnings, decrease for earlier warnings
3. SET UP ALERTS
Create alerts for:
• Near-cross warnings (get notified before the cross)
• Actual crosses (when EMA 20 crosses EMA 50)
• Golden/Death crosses (major trend changes)
4. CUSTOMIZE APPEARANCE
• Change warning text to your language
• Adjust opacity for your chart theme
• Position table where it's most convenient
• Choose label size for visibility
═══════════════════════════════════════════════════════════════════
💡 TRADING TIPS
- Use the near-cross warning to prepare entries/exits BEFORE the cross happens
- Green warning = Prepare for potential long position
- Red warning = Prepare for potential short position
- Combine with other indicators for confirmation
- Higher timeframes = more reliable signals
- Warning disappears after cross to avoid confusion
═══════════════════════════════════════════════════════════════════
🔧 TECHNICAL DETAILS
- Pine Script v6
- Non-repainting (all signals confirm on bar close)
- Works on all timeframes
- Works on all instruments (stocks, crypto, forex, futures)
- Lightweight and efficient
- No external data sources required
═══════════════════════════════════════════════════════════════════
📝 SETTINGS GUIDE
Near Cross Settings:
• Threshold %: How close EMAs must be to trigger warning (default 0.5%)
• Lookback Bars: Hide warning for X bars after a cross (default 3)
Warning Note Style:
• Text Size: Tiny to Huge
• Colors: Customize bull/bear warning colors
• Position: Place table anywhere on chart
• Opacity: 0 (solid) to 90 (very transparent)
Price Label:
• Size: Tiny to Large
• Opacity: Control transparency
• Auto-positioning: Moves to avoid blocking candles
Custom Text:
• Bull/Bear warning messages
• Toggle distance display
• Toggle direction display
═══════════════════════════════════════════════════════════════════
⚠️ IMPORTANT NOTES
- Warnings only appear BEFORE crosses, not after
- After a cross happens, warning is hidden for the lookback period
- Adjust threshold if you're getting too many/too few warnings
- This is a trend-following indicator - best used with confirmation
- Always use proper risk management
═══════════════════════════════════════════════════════════════════
Happy Trading! 📈📉
If you find this indicator useful, please give it a boost and leave a comment!
For questions or suggestions, feel free to reach out.
CRR Auto 50% Candle A line at 50% of the candle
If a candle is larger than the minimum size you define (minSizePerc),
then calculate the midpoint of the candle (midLevel) and draw a horizontal line:
From the current candle to 44 bars to the right (or the number you choose).
Green if the candle is bullish, red if it is bearish.
2. Signal arrows
If it's a large bullish candle → green arrow pointing up with the text “50”.
If it's a large bearish candle → red arrow pointing down with the text “50”.
3. What is it for?
It marks the 50% level of important candles, which is often:
A mitigation zone.
A level where the price usually returns before continuing.
An institutional equilibrium point.
🧠 In simple terms:
It detects strong candles, draws their 50% level into the future, and marks them with arrows indicating whether they are bullish or bearish. Ideal for SMC.
CRR Nemesis Fear & Greed ProIt measures 4 market indicators:
ATR → volatility.
Relative Volume (rVOL) → whether there is more or less volume than average.
Price distance from the moving average (SMA 50) in ATR → how much the trend has extended.
Candlestick shape → size of the body and wicks (who is dominating, bulls or bears).
It calculates two scores (0–100):
Greed → when:
The candlestick is bullish,
The price is above the SMA 50 (uptrend),
There is a good body, good rVOL, the price is far from the average, high volatility,
A longer upper wick adds a little more.
Fear → when:
The candlestick is bearish,
The price is below the SMA 50 (downtrend),
Similarly: strong body, rVOL, distance from the average, volatility,
A longer lower wick adds a little more.
Both scores are smoothed with a 3-period EMA (greedSmoothed and fearSmoothed).
It determines the overall market sentiment (HUD):
ANGEL (greed dominates):
Greed ≥ 55 and Greed − Fear ≥ 10.
DEVIL (fear dominates):
Fear ≥ 55 and Fear − Greed ≥ 10.
If neither condition is met → NEUTRAL.
HUD on screen (table in the upper right corner):
Displays:
STATUS: ANGEL / DEVIL / NEUTRAL (with color).
FEAR: smoothed fear value.
GREED: smoothed greed value.
🧠 In simple terms:
It's a market sentiment engine: it combines volume, ATR, distance from the trend, and candlestick shape to tell you if the market is experiencing strong fear, strong greed, or is neutral, and displays it clearly in a HUD.
CRR Birgua HUD (HH-HL / LL-LH)CRR Birgua HUD (HH-HL / LL-LH) essentially does three things:
Detects price structure using pivots.
Marks highs as:
HH = Higher High
LH = Lower High
Marks lows as:
HL = Higher Low
LL = Lower Low
It uses a pivot length (pivotLen, default 3) to find these turning points.
Measures the “Birgua” (impulse correction).
In a downtrend:
When an LH appears, it measures how much the retracement rose from the last low to that LH.
In an uptrend:
When an HL appears, it measures how much the retracement fell from the last high to that HL.
It calculates two things:
% correction (birgua_lastPct)
ATR multiples (birgua_lastAtrMult)
It only considers it “valid” if:
% correction ≥ birgua_minBirguaPc (e.g., 25%)
ATR multiple ≥ birgua_minAtrMult (e.g., 0.5)
If valid: it labels it with OK; otherwise: SMALL.
Creates a HUD and a “Birgua Score.”
Calculates a Birgua Score (0–100):
Starts at 50.
If the last Birgua was at an HL (strong bullish), it increases from 50.
If it was at an LH (strong bearish), it decreases from 50.
It can draw a line at the bottom with this score if you enable Show Birgua Score.
At the top of the screen, it displays a HUD with:
Direction: BULL (HL), BEAR (LH), or NEUTRAL.
B: XX.X% (Birgua percentage).
ATR: X.XX (ATR multiples).
Strength: Strong / Weak / N/A based on the minimums you defined.
🧠 Quick Use:
HL + strong Birgua → probable bullish continuation.
LH + strong Birgua → probable bearish continuation.
The HUD summarizes whether the last correction was strong or weak and on which side (bull or bear).
Volatility Risk PremiumTHE INSURANCE PREMIUM OF THE STOCK MARKET
Every day, millions of investors face a fundamental question that has puzzled economists for decades: how much should protection against market crashes cost? The answer lies in a phenomenon called the Volatility Risk Premium, and understanding it may fundamentally change how you interpret market conditions.
Think of the stock market like a neighborhood where homeowners buy insurance against fire. The insurance company charges premiums based on their estimates of fire risk. But here is the interesting part: insurance companies systematically charge more than the actual expected losses. This difference between what people pay and what actually happens is the insurance premium. The same principle operates in financial markets, but instead of fire insurance, investors buy protection against market volatility through options contracts.
The Volatility Risk Premium, or VRP, measures exactly this difference. It represents the gap between what the market expects volatility to be (implied volatility, as reflected in options prices) and what volatility actually turns out to be (realized volatility, calculated from actual price movements). This indicator quantifies that gap and transforms it into actionable intelligence.
THE FOUNDATION
The academic study of volatility risk premiums began gaining serious traction in the early 2000s, though the phenomenon itself had been observed by practitioners for much longer. Three research papers form the backbone of this indicator's methodology.
Peter Carr and Liuren Wu published their seminal work "Variance Risk Premiums" in the Review of Financial Studies in 2009. Their research established that variance risk premiums exist across virtually all asset classes and persist over time. They documented that on average, implied volatility exceeds realized volatility by approximately three to four percentage points annualized. This is not a small number. It means that sellers of volatility insurance have historically collected a substantial premium for bearing this risk.
Tim Bollerslev, George Tauchen, and Hao Zhou extended this research in their 2009 paper "Expected Stock Returns and Variance Risk Premia," also published in the Review of Financial Studies. Their critical contribution was demonstrating that the VRP is a statistically significant predictor of future equity returns. When the VRP is high, meaning investors are paying substantial premiums for protection, future stock returns tend to be positive. When the VRP collapses or turns negative, it often signals that realized volatility has spiked above expectations, typically during market stress periods.
Gurdip Bakshi and Nikunj Kapadia provided additional theoretical grounding in their 2003 paper "Delta-Hedged Gains and the Negative Market Volatility Risk Premium." They demonstrated through careful empirical analysis why volatility sellers are compensated: the risk is not diversifiable and tends to materialize precisely when investors can least afford losses.
HOW THE INDICATOR CALCULATES VOLATILITY
The calculation begins with two separate measurements that must be compared: implied volatility and realized volatility.
For implied volatility, the indicator uses the CBOE Volatility Index, commonly known as the VIX. The VIX represents the market's expectation of 30-day forward volatility on the S&P 500, calculated from a weighted average of out-of-the-money put and call options. It is often called the "fear gauge" because it rises when investors rush to buy protective options.
Realized volatility requires more careful consideration. The indicator offers three distinct calculation methods, each with specific advantages rooted in academic literature.
The Close-to-Close method is the most straightforward approach. It calculates the standard deviation of logarithmic daily returns over a specified lookback period, then annualizes this figure by multiplying by the square root of 252, the approximate number of trading days in a year. This method is intuitive and widely used, but it only captures information from closing prices and ignores intraday price movements.
The Parkinson estimator, developed by Michael Parkinson in 1980, improves efficiency by incorporating high and low prices. The mathematical formula calculates variance as the sum of squared log ratios of daily highs to lows, divided by four times the natural logarithm of two, times the number of observations. This estimator is theoretically about five times more efficient than the close-to-close method because high and low prices contain additional information about the volatility process.
The Garman-Klass estimator, published by Mark Garman and Michael Klass in 1980, goes further by incorporating opening, high, low, and closing prices. The formula combines half the squared log ratio of high to low prices minus a factor involving the log ratio of close to open. This method achieves the minimum variance among estimators using only these four price points, making it particularly valuable for markets where intraday information is meaningful.
THE CORE VRP CALCULATION
Once both volatility measures are obtained, the VRP calculation is straightforward: subtract realized volatility from implied volatility. A positive result means the market is paying a premium for volatility insurance. A negative result means realized volatility has exceeded expectations, typically indicating market stress.
The raw VRP signal receives slight smoothing through an exponential moving average to reduce noise while preserving responsiveness. The default smoothing period of five days balances signal clarity against lag.
INTERPRETING THE REGIMES
The indicator classifies market conditions into five distinct regimes based on VRP levels.
The EXTREME regime occurs when VRP exceeds ten percentage points. This represents an unusual situation where the gap between implied and realized volatility is historically wide. Markets are pricing in significantly more fear than is materializing. Research suggests this often precedes positive equity returns as the premium normalizes.
The HIGH regime, between five and ten percentage points, indicates elevated risk aversion. Investors are paying above-average premiums for protection. This often occurs after market corrections when fear remains elevated but realized volatility has begun subsiding.
The NORMAL regime covers VRP between zero and five percentage points. This represents the long-term average state of markets where implied volatility modestly exceeds realized volatility. The insurance premium is being collected at typical rates.
The LOW regime, between negative two and zero percentage points, suggests either unusual complacency or that realized volatility is catching up to implied volatility. The premium is shrinking, which can precede either calm continuation or increased stress.
The NEGATIVE regime occurs when realized volatility exceeds implied volatility. This is relatively rare and typically indicates active market stress. Options were priced for less volatility than actually occurred, meaning volatility sellers are experiencing losses. Historically, deeply negative VRP readings have often coincided with market bottoms, though timing the reversal remains challenging.
TERM STRUCTURE ANALYSIS
Beyond the basic VRP calculation, sophisticated market participants analyze how volatility behaves across different time horizons. The indicator calculates VRP using both short-term (default ten days) and long-term (default sixty days) realized volatility windows.
Under normal market conditions, short-term realized volatility tends to be lower than long-term realized volatility. This produces what traders call contango in the term structure, analogous to futures markets where later delivery dates trade at premiums. The RV Slope metric quantifies this relationship.
When markets enter stress periods, the term structure often inverts. Short-term realized volatility spikes above long-term realized volatility as markets experience immediate turmoil. This backwardation condition serves as an early warning signal that current volatility is elevated relative to historical norms.
The academic foundation for term structure analysis comes from Scott Mixon's 2007 paper "The Implied Volatility Term Structure" in the Journal of Derivatives, which documented the predictive power of term structure dynamics.
MEAN REVERSION CHARACTERISTICS
One of the most practically useful properties of the VRP is its tendency to mean-revert. Extreme readings, whether high or low, tend to normalize over time. This creates opportunities for systematic trading strategies.
The indicator tracks VRP in statistical terms by calculating its Z-score relative to the trailing one-year distribution. A Z-score above two indicates that current VRP is more than two standard deviations above its mean, a statistically unusual condition. Similarly, a Z-score below negative two indicates VRP is unusually low.
Mean reversion signals trigger when VRP reaches extreme Z-score levels and then shows initial signs of reversal. A buy signal occurs when VRP recovers from oversold conditions (Z-score below negative two and rising), suggesting that the period of elevated realized volatility may be ending. A sell signal occurs when VRP contracts from overbought conditions (Z-score above two and falling), suggesting the fear premium may be excessive and due for normalization.
These signals should not be interpreted as standalone trading recommendations. They indicate probabilistic conditions based on historical patterns. Market context and other factors always matter.
MOMENTUM ANALYSIS
The rate of change in VRP carries its own information content. Rapidly rising VRP suggests fear is building faster than volatility is materializing, often seen in the early stages of corrections before realized volatility catches up. Rapidly falling VRP indicates either calming conditions or rising realized volatility eating into the premium.
The indicator tracks VRP momentum as the difference between current VRP and VRP from a specified number of bars ago. Positive momentum with positive acceleration suggests strengthening risk aversion. Negative momentum with negative acceleration suggests intensifying stress or rapid normalization from elevated levels.
PRACTICAL APPLICATION
For equity investors, the VRP provides context for risk management decisions. High VRP environments historically favor equity exposure because the market is pricing in more pessimism than typically materializes. Low or negative VRP environments suggest either reducing exposure or hedging, as markets may be underpricing risk.
For options traders, understanding VRP is fundamental to strategy selection. Strategies that sell volatility, such as covered calls, cash-secured puts, or iron condors, tend to profit when VRP is elevated and compress toward its mean. Strategies that buy volatility tend to profit when VRP is low and risk materializes.
For systematic traders, VRP provides a regime filter for other strategies. Momentum strategies may benefit from different parameters in high versus low VRP environments. Mean reversion strategies in VRP itself can form the basis of a complete trading system.
LIMITATIONS AND CONSIDERATIONS
No indicator provides perfect foresight, and the VRP is no exception. Several limitations deserve attention.
The VRP measures a relationship between two estimates, each subject to measurement error. The VIX represents expectations that may prove incorrect. Realized volatility calculations depend on the chosen method and lookback period.
Mean reversion tendencies hold over longer time horizons but provide limited guidance for short-term timing. VRP can remain extreme for extended periods, and mean reversion signals can generate losses if the extremity persists or intensifies.
The indicator is calibrated for equity markets, specifically the S&P 500. Application to other asset classes requires recalibration of thresholds and potentially different data sources.
Historical relationships between VRP and subsequent returns, while statistically robust, do not guarantee future performance. Structural changes in markets, options pricing, or investor behavior could alter these dynamics.
STATISTICAL OUTPUTS
The indicator presents comprehensive statistics including current VRP level, implied volatility from VIX, realized volatility from the selected method, current regime classification, number of bars in the current regime, percentile ranking over the lookback period, Z-score relative to recent history, mean VRP over the lookback period, realized volatility term structure slope, VRP momentum, mean reversion signal status, and overall market bias interpretation.
Color coding throughout the indicator provides immediate visual interpretation. Green tones indicate elevated VRP associated with fear and potential opportunity. Red tones indicate compressed or negative VRP associated with complacency or active stress. Neutral tones indicate normal market conditions.
ALERT CONDITIONS
The indicator provides alerts for regime transitions, extreme statistical readings, term structure inversions, mean reversion signals, and momentum shifts. These can be configured through the TradingView alert system for real-time monitoring across multiple timeframes.
REFERENCES
Bakshi, G., and Kapadia, N. (2003). Delta-Hedged Gains and the Negative Market Volatility Risk Premium. Review of Financial Studies, 16(2), 527-566.
Bollerslev, T., Tauchen, G., and Zhou, H. (2009). Expected Stock Returns and Variance Risk Premia. Review of Financial Studies, 22(11), 4463-4492.
Carr, P., and Wu, L. (2009). Variance Risk Premiums. Review of Financial Studies, 22(3), 1311-1341.
Garman, M. B., and Klass, M. J. (1980). On the Estimation of Security Price Volatilities from Historical Data. Journal of Business, 53(1), 67-78.
Mixon, S. (2007). The Implied Volatility Term Structure of Stock Index Options. Journal of Empirical Finance, 14(3), 333-354.
Parkinson, M. (1980). The Extreme Value Method for Estimating the Variance of the Rate of Return. Journal of Business, 53(1), 61-65.
🟡 GOLD 4H HUD v12 — Time-Safe Nuclear Edition🟡 GOLD 4H HUD v12 — Time-Safe Nuclear Edition
A full–scale Smart Money Concepts (SMC) analytics engine designed exclusively for XAUUSD on the 4-Hour timeframe.
This script combines market structure, liquidity, displacement, order blocks, imbalance, volume profile, SMT divergence, and institutional behavior modeling into a single unified HUD.
Built with a time-safe architecture, all structural elements (OB/FVG/Sweep) are stored by timestamp to minimize repainting and preserve event integrity.
📌 Core Features (12 Modules + Full HUD)
1 — Market Structure Engine
Automatically detects:
HH / HL / LH / LL
BOS (Break of Structure)
MSS (Market Structure Shift)
CHOCH (Change of Character)
Real swing pivots & trend state
2 — Sweep Engine (Liquidity Grab Detection)
Identifies institutional liquidity grabs:
Break + reclaim of highs/lows
ATR-filtered invalidation
Displacement-backed sweeps
3 — Time-Safe FVG Engine
Detects Bullish/Bearish Fair Value Gaps
ATR-tolerant FVG logic
Automatic right-extension
Auto-delete when filled or invalid
4 — Time-Safe Order Block Engine
Demand & Supply OB detection
Strength classification (Weak vs Strong)
FVG-overlap confirmation
Timestamp-locked (non-repainting)
5 — Volume Profile Engine (HVN / LVN / POC)
Real-time micro-profile:
High Volume Node (HVN)
Low Volume Node (LVN)
Point of Control (POC)
6 — SMT Engine (Gold vs DXY Divergence)
Smart Money Divergence built-in:
Bullish SMT
Bearish SMT
Directional confirmation with zero lag
7 — Displacement Engine
Measures institutional impulse:
Body-based impulse detection
Multi-leg continuation signals
FVG continuation moves
Generates displacement score
8 — Premium / Discount Model
Auto-classifies price into:
Discount (Buy zone)
Premium (Sell zone)
9 — SMC Trend Engine (Score-Based)
Combines 10+ factors:
Structure
FVG
OB power
Displacement
POC positioning
SMT conditions
Outputs:
BULL / BEAR / RANGE
Full scoring system
10 — Institutional Imbalance Model (IMB Engine)
Combines:
PD zones
Sweep direction
Displacement
SMT
OB strength
CHOCH/MSS
A complete institutional bias filter.
11 — Entry Engine (Signal Fusion Model)
Entry conditions fuse:
Sweep
CHOCH
Displacement
OB strength
FVG alignment
SMT confirmation
Also outputs:
Suggested SL/TP
Entry score
12 — Trendline Engine
Auto-draws:
HL → HL bullish trendlines
LH → LH bearish trendlines
+ Full Nuclear HUD
Displays:
Market structure
Trend direction
SMT / CHOCH / MSS
FVG / OB zones
HVN / LVN / POC
Liquidity strength
Entry model
Liquidity Magnet direction
SL/TP map
A complete institutional dashboard in one place.
⚠ Usage Requirement
This script is designed ONLY for the 4H timeframe.
✨ Summary
GOLD 4H HUD v12 — Time-Safe Nuclear Edition
is not just an indicator.
It is a full institutional-grade SMC analysis system, built specifically for Gold.
If you trade XAUUSD on the 4H timeframe —
this is your complete market intelligence HUD
Execution Heatmap v8 — Classic Blocks (Final Logic)This indicator visualizes real-time market context through a structured execution heatmap, representing multiple analytic dimensions in a compact on-chart panel. Designed for traders who rely on confluence-based decision making, it tracks the shifting behavior of price, volume, and structural regimes to help identify momentum shifts, exhaustion points, and directional conviction.
🔶 Overview
The Execution Heatmap v8 consolidates key elements from trend, volume, and momentum analysis into a single panel. Each row represents a core component of the execution model, colored dynamically to reflect bullish, bearish, neutral, or mixed states. The final block produces a BUY, SELL, or SELL-ALERT classification — fully aligned with the internal logic of the GOLDMASTER‑HUD framework.
🔸 Core Logic Components
VWAP Direction: Detects price bias relative to VWAP (overextended, below value, or neutral).
Impulse Engine: Evaluates momentum using RSI and MFI thresholds to determine directional energy.
Volume Surge: Highlights aggressive volume imbalances and determines the dominant side (bull or bear).
Fake Break Detection: Identifies false breakouts at recent swing extremes to flag potential reversals.
Regime Filter: Measures underlying trend structure using dual‑EMA alignment (20/50 EMA).
Pattern Recognition: Detects emerging HL (higher low) or LH (lower high) structures.
Structure Strength: Maps strong vs. weak structural phases based on regime and pattern alignment.
Final Signal Engine: Synthesizes all modules into actionable classifications:
BUY: Price structure supports trend continuation.
SELL‑ALERT: Early weakness or exhaustion detected within a strong up‑trend.
SELL: Confirmed reversal alignment (momentum, VWAP, volume, and structure all bearish).
WAIT: Caution when conditions remain inconclusive.
🟩🟥 Color‑Coded Heat Blocks
Each metric is represented as a colored cell:
Green: Bullish / upward bias
Red: Bearish / downward bias
Yellow: Neutral / weak / mixed
Dark gray: Undefined or transitional
⚙️ Customization
Adjustable panel position (bottom‑right, bottom‑left, top‑right, top‑left).
Non‑intrusive table layout optimized for overlaying on active charts.
Lightweight execution with minimal resource load, ideal for intraday use.
Volume Flow Anatomy [Kodexius]Volume Flow Anatomy is a dynamic, multi-dimensional volume map that reconstructs how buy, sell, and “stealth” activity is distributed across price rather than just across time. Instead of relying on a static, session-based volume profile, it uses an exponentially decaying memory of recent bars to build a constantly evolving “anatomy” of the auction, where each price level carries an adaptive history of order flow.
The script separates buy vs. sell pressure, adds a third “Stealth Flow” dimension for low-volume price movement (ease of movement / divergence), and automatically derives POC, Value Area, imbalances, absorption zones, and classic profile shapes (D, P, b, B). This gives the trader a compact but highly information-dense map on the right side of the chart to read control (buyers vs. sellers), structure (balanced vs. trending vs. double distribution), and key reaction levels (support/resistance born from flow, not just wicks).
🔹 Features
🔸 Dynamic Lookback with Decay
- The script computes an effective lookback N from the Decay Factor and caps it with Max Lookback.
- Higher decay keeps more history; lower decay emphasizes the most recent flow.
- The profile continuously adapts as new bars are printed.
🔸 Price-Bucketed Flow Map
Each bucket accumulates:
- Sell Flow (sell pressure)
- Buy Flow (buy pressure)
- Stealth Flow (low-volume price movement)
- Box width at each bucket is proportional to the relative intensity of that component.
🔸 Stealth Flow (Low-Volume Price Movement)
- Measures close to close movement relative to volume, emphasizing price movement that occurs on comparatively low volume.
- Helps reveal hidden participation, inefficient moves, and areas that may be vulnerable to re-tests or reversions.
🔸 POC & 70% Value Area (VA)
- Identifies the Point of Control (price bucket with the highest total volume) over the effective lookback.
- Builds a 70% Value Area by expanding from POC towards the nearest high volume neighbors until 70% of the total volume is included.
- POC is drawn as a line over the analyzed range; VA is displayed as a shaded band in the profile area.
🔸 Market Profile Shape Detection
Splits the profile vertically into three zones (bottom / middle / top) and compares their volume distribution.
Classifies structure as:
- D-Shape (Balanced)
- P-Shape (Short Covering)
- b-Shape (Long Liquidation)
- B-Shape (Double Distribution)
Displays a shape label with color coded bias for quick auction context interpretation.
🔸 Imbalance Zones & Absorption
Imbalance: detects buckets where Buy Flow or Sell Flow exceeds the opposite side by at least Imbalance Ratio.
Absorption: flags zones with high volume but low price “ease”, where price is not moving much despite significant volume.
Extends these levels into horizontal zones, marking potential support/resistance and trap areas.
Bullish Imbalance Zone :
Bearish Imbalance Zone :
Absorption Zone :
🔸 Range Context & On-Chart Legend
Draws a Range Box covering the dynamically determined lookback (N bars), with a label displaying the effective bar count.
A bottom-right legend summarizes:
- Color keys for Buy / Sell / Stealth
- POC / VA status
- Bullish vs. Bearish dominance percentage
- Profile shape classification
- Imbalance and Absorption conventions
🔹 Calculations
1. Dynamic Lookback & Price Buckets
int N = math.min(int(4 / (1 - decayFactor) - 1), maxHistory)
float priceHigh = ta.highest(high, N)
float priceLow = ta.lowest(low, N)
float bucketSize = (priceHigh - priceLow) / bucketCount
The effective lookback N is derived from the Decay Factor, using the approximation 4 / (1 - decay) to capture roughly 99% of the decayed influence, then capped with maxHistory to control performance. Over that adaptive range, the script finds the highest and lowest prices and divides the band into bucketCount equal slices (bucketSize). Each slice is a price bucket that will accumulate volume-flow information.
2. Exponentially Decayed Volume Allocation
addValue(array profile, float weight, float minPrice, float maxPrice) =>
for j = 0 to bucketCount - 1
float bucketMin = priceLow + j * bucketSize
float bucketMax = bucketMin + bucketSize
float overlapMin = math.max(minPrice, bucketMin)
float overlapMax = math.min(maxPrice, bucketMax)
float overlapRange = overlapMax - overlapMin
if overlapRange > 0
profile.set(j, profile.get(j) * decayFactor + weight * overlapRange)
This function is the core engine of the indicator. For a given price span and intensity, it checks every bucket for overlap, distributes the weight proportionally to the overlapping range, and before adding new value, decays the existing bucket content by decayFactor. This results in an exponentially weighted profile: recent activity dominates, while older levels retain a gradually fading footprint.
3. POC and 70% Value Area
array totalProfile = array.new(bucketCount, 0)
for j = 0 to bucketCount - 1
float total = sellProfile.get(j) + buyProfile.get(j)
totalProfile.set(j, total)
if total > eaMax
eaMax := total
int pocIdx = 0
float pocVal = 0.0
for j = 0 to bucketCount - 1
if totalProfile.get(j) > pocVal
pocVal := totalProfile.get(j)
pocIdx := j
float totalSum = totalProfile.sum()
float targetSum = totalSum * 0.70
int vaLow = pocIdx
int vaHigh = pocIdx
float currentSum = pocVal
while currentSum < targetSum and (vaLow > 0 or vaHigh < bucketCount - 1)
float lowVal = vaLow > 0 ? totalProfile.get(vaLow - 1) : 0.0
float highVal = vaHigh < bucketCount - 1 ? totalProfile.get(vaHigh + 1) : 0.0
First, totalProfile is built as the sum of buy and sell flow per bucket, and eaMax (the maximum total) is tracked for later normalization. The POC bucket (pocIdx) is simply the index with the highest totalProfile value.
To compute the 70% Value Area, the algorithm starts at the POC bucket and expands outward, each step adding either the upper or lower neighbor depending on which has more volume. This continues until the cumulative volume reaches 70% of totalSum. The result is a volume-driven VA, not necessarily symmetric around POC, which more accurately represents where the market has truly traded.
4. Market Profile Shape Classification
float volTopThird = 0.0
float volMidThird = 0.0
float volBotThird = 0.0
int thirdIdx = int(bucketCount / 3)
for j = 0 to bucketCount - 1
float val = totalProfile.get(j)
if j < thirdIdx
volBotThird += val
else if j < thirdIdx * 2
volMidThird += val
else
volTopThird += val
float totalVolShape = totalProfile.sum()
string shapeStr = "D-Shape (Balanced)"
if (volTopThird > totalVolShape * 0.20) and (volBotThird > totalVolShape * 0.20) and (volMidThird < totalVolShape * 0.50)
shapeStr := "B-Shape (Double Dist)"
else
if pocIdx > bucketCount * 0.5 and volTopThird > volBotThird * 1.3
shapeStr := "P-Shape (Short Covering)"
else if pocIdx < bucketCount * 0.5 and volBotThird > volTopThird * 1.3
shapeStr := "b-Shape (Long Liquidation)"
else
shapeStr := "D-Shape (Balanced)"
The profile is split into bottom, middle, and top thirds. The script compares how much volume is concentrated in each and combines that with the relative location of POC. If both extremes are heavy and the middle light, it labels a B-Shape (double distribution). If the POC is high and the top dominates the bottom, it’s a P-Shape (short covering). If the POC is low and the bottom dominates, it’s a b-Shape (long liquidation). Otherwise, it defaults to a D-Shape (balanced). This provides a quick, at-a-glance assessment of auction structure.
5. Imbalances, Absorption & Zones
bool isBuyImb = showImb and sVal > 0 and (bVal / sVal >= imbRatio)
bool isSellImb = showImb and bVal > 0 and (sVal / bVal >= imbRatio)
float volRatio = eaMax > 0 ? tVal / eaMax : 0
float stRatio = esmRange > 0 ? (stVal - esmMin) / esmRange : 1.0
bool isAbsorp = showAbsorp and volRatio > 0.6 and stRatio < 0.25
if showImbZone
if isSellImb
zoneBoxes.push(box.new(bar_index - N + 1, bucketHi, bar_index + 1, bucketLo, ...))
if isBuyImb
zoneBoxes.push(box.new(bar_index - N + 1, bucketHi, bar_index + 1, bucketLo, ...))
if isAbsorp
zoneBoxes.push(box.new(bar_index - N + 1, bucketHi, bar_index + 1, bucketLo, ...))
Imbalances are identified where one side’s volume (buy or sell) exceeds the other by at least Imbalance Ratio. These buckets are marked as buy or sell imbalance zones, indicating aggressive participation from one side.
Absorption is detected by combining a high volume ratio (volRatio) with a low normalized stealth ratio (stRatio). High volume with limited price movement suggests that opposing orders are absorbing flow at that level. Both imbalance and absorption buckets are extended into horizontal zones from the start of the lookback to the current bar, visually emphasizing key support/resistance and liquidity areas.
6. Building Buy, Sell & Stealth Profiles
sellProfile := array.new(bucketCount, 0)
buyProfile := array.new(bucketCount, 0)
stealthProfile := array.new(bucketCount, 0)
Three arrays are used to store Sell Flow, Buy Flow, and Stealth Flow. Bars are processed from oldest to newest so that decay is applied in correct chronological order. For each bar, a volume density (volume / range) is calculated and distributed across the candle range. Bull candles feed buyProfile, bear candles feed sellProfile.
Stealth Flow computes the close-to-close move between consecutive bars, scaled by 1 / (1 + volume). Big moves on low volume produce high stealth values, which are then allocated across the move’s price span into stealthProfile. This yields a three-layer profile per price level: directional volume and stealthy price movement.
Global Liquidity Index LITEGlobal Liquidity Index (GLI LITE) is an indicator that measures global liquidity by combining the balance sheets of major central banks (FED, ECB, PBOC, BOJ) and the M2 money supply of the world’s largest economies (USA, Europe, China, Japan).
Since liquidity directly influences the price of risk assets (BTC, NASDAQ, SPX, etc.), GLI is one of the most important macro signals for identifying market bull/bear regimes.
What the indicator shows:
GLI momentum line (green = liquidity expansion, orange = contraction)
Fast & Slow MA lines that define the liquidity trend
Bull/Bear background coloring
Green → global liquidity is expanding
Red → liquidity is tightening
Correlation between GLI and the asset price (e.g., BTC)
Macro trend panel (Bull / Bear / Neutral)
How to use the indicator:
Bull regime (Fast MA > Slow MA)
Liquidity is expanding and the market has a natural tailwind. Risk assets tend to perform better.
Bear regime (Fast MA < Slow MA)
Liquidity is tightening — higher risk, increased volatility, and more downside pressure.
GLI ↔ Price Correlation
If correlation is high (e.g., > 0.6), GLI can be an excellent leading indicator for price movement.
ATR/ADR MTF Projection ArrayATR/ADR MTF Projection Array
Overview
A powerful predictive tool that projects ATR (Average True Range) and ADR (Average Daily Range) levels as clean support and resistance arrays on your chart. Designed for traders who want to anticipate the high and low of the day using volatility-based projections with multi-timeframe confluence.
This indicator combines traditional ATR analysis with ICT-style ADR methodology, giving you institutional-grade level projections from a single, customizable tool.
Key Features
🎯 Dual Volatility Metrics
ATR Projections — Classic volatility-based levels with full multi-timeframe support
ADR Projections (ICT Style) — Average Daily Range levels using Inner Circle Trader methodology
Enable/disable each independently based on your trading preference
📊 Multi-Timeframe ATR Analysis
Plot ATR levels from up to 3 timeframes simultaneously (Daily, Weekly, Monthly or custom)
Each timeframe displays with distinct styling for easy identification
Perfect for confluence trading across multiple time horizons
⚡ ICT ADR Methodology
NY Midnight calculation mode (ICT standard) or Classic Daily
Key ICT levels built-in:
1/3 ADR (Judas Swing) — Critical manipulation level where fake moves often terminate
1/2 ADR — Mid-range reference
2/3 ADR — Trending day continuation target
100% ADR — Full daily range completion
150% ADR — Extension target for expansion days
Two projection modes: Static (from anchor) or Dynamic (from session high/low)
🔧 Flexible Anchor Points
Previous Close (default)
Daily Open
Weekly Open
Monthly Open
Session Open
📈 Range Completion Tracking
Real-time display of how much of the expected daily range has been consumed
Visual status indicator helps identify when the day's move may be exhausted
How To Use
For Bias Confirmation:
Establish your directional bias using your preferred method (trigger day, market structure, etc.)
Monitor the 1/3 ADR level during London/NY open for potential Judas Swing (manipulation move)
Target 2/3 to 100% ADR for your HOD/LOD objective
For Target Setting:
Use ATR levels as volatility-based profit targets
ADR 100% level often marks session extremes
When Range Used reaches 100%+, expect consolidation or reversal
For Multi-Timeframe Confluence:
Enable Weekly/Monthly ATR levels alongside Daily
Look for clustering of levels across timeframes for high-probability zones
Settings Guide
Master Controls — Toggle ATR/ADR systems and bull/bear levels independently
ATR Settings — Configure period, multiplier, anchor point, and select which timeframes to display
ATR Level Multipliers — Choose which projection levels to show (0.5x, 0.75x, 1.0x, 1.25x, 1.5x)
ADR Settings (ICT Style) — Select calculation mode (NY Midnight recommended), period (5 days is ICT standard), and projection mode
ADR Level Selection — Toggle individual ICT levels (1/3, 1/2, 2/3, 100%, 150%)
Visual Settings — Customize colors, line styles, labels, and info table position
Alerts Included
ATR 1.0x Bull/Bear Cross
ADR 1/3 Judas Swing Zone (Bull/Bear)
ADR 100% Range Completion (Bull/Bear)
