YM Ultimate SNIPER# YM Ultimate SNIPER - Documentation & Trading Guide
## 🎯 Unified GRA + DeepFlow | YM-Optimized for Low Volatility
**TARGET: 3-7 High-Confluence Trades per Day**
> **Philosophy:** *YM's lower volatility is not a weakness—it's our edge. Predictability + precision = consistent profits.*
---
## ⚡ QUICK REFERENCE CARD
```
┌─────────────────────────────────────────────────────────────────────────────┐
│ YM ULTIMATE SNIPER - QUICK REFERENCE │
├─────────────────────────────────────────────────────────────────────────────┤
│ │
│ 💰 YM BASICS: │
│ ═════════════ │
│ • 1 tick = 1 point = $5/contract │
│ • Typical daily range: 150-400 points │
│ • 30-40% less volatile than NQ │
│ • More institutional, less retail noise │
│ │
├─────────────────────────────────────────────────────────────────────────────┤
│ │
│ 🎯 TIER THRESHOLDS (YM-OPTIMIZED): │
│ ══════════════════════════════════ │
│ S-TIER: 50+ pts = $250+/contract → HOLD (Institutional sweep) │
│ A-TIER: 25-49 pts = $125-245/contract → SWING (Strong momentum) │
│ B-TIER: 12-24 pts = $60-120/contract → SCALP (Quick grab) │
│ │
├─────────────────────────────────────────────────────────────────────────────┤
│ │
│ ⏰ SESSION WINDOWS: │
│ ═══════════════════ │
│ LDN → 3:00-5:00 AM ET (European flow) │
│ NY → 9:30-11:30 AM ET (US opening drive) │
│ PWR → 3:00-4:00 PM ET (End-of-day rebalancing) │
│ │
│ Expected Trades: 1-2 LDN | 2-3 NY | 1-2 PWR = 4-7 total │
│ │
├─────────────────────────────────────────────────────────────────────────────┤
│ │
│ 📊 CONFLUENCE SCORING (MAX 10 POINTS): │
│ ═══════════════════════════════════════ │
│ Tier Signal: S=3, A=2, B=1 points │
│ In Active Zone: +2 points │
│ POC Aligned: +1 point (POC at body extreme) │
│ Imbalance Support:+1 point (supporting IMB nearby) │
│ Strong Volume: +1 point (2x+ average) │
│ Strong Delta: +1 point (70%+ dominance) │
│ CVD Momentum: +1 point (CVD trending with signal) │
│ │
│ MINIMUM SCORE: 5/10 to show signal (adjustable) │
│ IDEAL SCORE: 7+/10 for highest probability │
│ │
├─────────────────────────────────────────────────────────────────────────────┤
│ │
│ 🚨 SIGNAL TYPES: │
│ ═════════════════ │
│ S🎯 / A🎯 / B🎯 → GRA Tier Signals (Full confluence) │
│ Z🎯 → Zone Entry (At DFZ zone + delta + volume) │
│ SP → Single Print (Institutional impulse) │
│ │
├─────────────────────────────────────────────────────────────────────────────┤
│ │
│ ✓ ENTRY CHECKLIST: │
│ ═══════════════════ │
│ □ Signal appears (check Score ≥5) │
│ □ Session active (LDN!/NY!/PWR!) │
│ □ Table: Vol GREEN, Delta colored, Body GREEN │
│ □ CVD arrow (▲/▼) matches direction │
│ □ Note stop/target lines on chart │
│ □ Check Zone status (bonus if IN ZONE) │
│ □ Execute at signal candle close │
│ │
├─────────────────────────────────────────────────────────────────────────────┤
│ │
│ 🎯 POSITION SIZING BY TIER: │
│ ═══════════════════════════ │
│ S-TIER (50+ pts): Full size, hold 2-5 min, target 2.5:1 R:R │
│ A-TIER (25-49): 75% size, hold 1-3 min, target 2.0:1 R:R │
│ B-TIER (12-24): 50% size, hold 30-90 sec, target 1.5:1 R:R │
│ │
├─────────────────────────────────────────────────────────────────────────────┤
│ │
│ ⛔ DO NOT TRADE WHEN: │
│ ════════════════════ │
│ ✗ Session shows "---" │
│ ✗ Score < 5/10 │
│ ✗ Vol shows RED (<1.8x) │
│ ✗ Delta < 62% │
│ ✗ Multiple conflicting signals │
│ ✗ Just before major news (FOMC, NFP, etc.) │
│ │
└─────────────────────────────────────────────────────────────────────────────┘
```
---
## 📋 WHY YM? LEVERAGING LOW VOLATILITY
### The YM Advantage
Most traders avoid YM because "it doesn't move enough." This is precisely why it's perfect for precision scalping:
| Factor | NQ | YM | Advantage |
|--------|----|----|-----------|
| **Daily Range** | 300-600 pts | 150-400 pts | More predictable moves |
| **Tick Value** | $5/tick (4 ticks/pt) | $5/tick (1 tick/pt) | Simpler math |
| **Retail Noise** | High | Low | Cleaner signals |
| **Whipsaws** | Frequent | Rare | Fewer fakeouts |
| **Trend Persistence** | Short | Long | Easier holds |
| **Fill Quality** | Variable | Consistent | Better execution |
### Why 3-7 Trades is the Sweet Spot
```
YM SESSION BREAKDOWN:
════════════════════
LONDON (3-5 AM ET): 1-2 trades
├── Why: European institutions positioning for US open
├── Character: Slow build-up, clean trends
└── Best signals: Zone entries + A/B tier
NY OPEN (9:30-11:30 AM ET): 2-3 trades
├── Why: Highest volume, most institutional activity
├── Character: Initial balance formation, breakouts
└── Best signals: S/A tier, zone confluence
POWER HOUR (3-4 PM ET): 1-2 trades
├── Why: End-of-day rebalancing, MOC orders
├── Character: Mean reversion or trend acceleration
└── Best signals: Zone entries, B tier quick scalps
TOTAL: 4-7 high-quality setups per day
```
---
## 🔧 YM-SPECIFIC OPTIMIZATIONS
This unified indicator has been specifically tuned for YM's characteristics:
### Tier Thresholds
| Tier | NQ (Original) | YM (Optimized) | Rationale |
|------|---------------|----------------|-----------|
| S-Tier | 100 pts | **50 pts** | YM's daily range is ~50% of NQ |
| A-Tier | 50 pts | **25 pts** | Proportional scaling |
| B-Tier | 20 pts | **12 pts** | Still 5%+ of typical daily range |
### Filter Adjustments
| Filter | NQ Value | YM Value | Why |
|--------|----------|----------|-----|
| Volume Ratio | 1.5x | **1.8x** | Higher bar = less retail noise |
| Delta Threshold | 60% | **62%** | Tighter for cleaner signals |
| Body Ratio | 70% | **72%** | More conviction required |
| Range Multiplier | 1.3x | **1.4x** | Bigger move = real signal |
| Gap ATR% | 30% | **25%** | Smaller gaps still significant |
| Zone Age | 50 bars | **75 bars** | Zones last longer in slow market |
### Why These Changes Work
1. **Higher Volume Bar**: YM has more institutional flow. Requiring 1.8x volume ensures we're catching real moves, not retail chop.
2. **Tighter Delta**: With less noise, we can demand clearer buyer/seller dominance before entering.
3. **Longer Zone Life**: YM trends persist longer. A zone that would be stale in NQ is still viable in YM.
4. **Smaller Gap Threshold**: YM gaps are naturally smaller. 25% of ATR in YM is significant institutional activity.
---
## 📊 CONFLUENCE SCORING SYSTEM
The unified indicator uses a 10-point confluence scoring system to filter for only the highest-probability setups:
### Score Breakdown
```
CONFLUENCE SCORE CALCULATION:
═════════════════════════════
BASE POINTS (Tier):
├── S-Tier signal: +3 points
├── A-Tier signal: +2 points
└── B-Tier signal: +1 point
BONUS POINTS:
├── Inside Active Zone (DFZ): +2 points
│ └── Price within bull/bear zone = institutional level
│
├── POC Alignment: +1 point
│ └── POC at body extreme = strong conviction
│
├── Imbalance Support: +1 point
│ └── Supporting imbalance within 1 ATR
│
├── Strong Volume (2x+): +1 point
│ └── Exceptional institutional participation
│
├── Strong Delta (70%+): +1 point
│ └── Clear one-sided aggression
│
└── CVD Momentum: +1 point
└── CVD trending with signal direction
MAXIMUM POSSIBLE: 10 points
```
### Score Interpretation
| Score | Quality | Action | Expected Win Rate |
|-------|---------|--------|-------------------|
| 8-10 | 🥇 Elite | Full size, hold for target | 75-80% |
| 6-7 | 🥈 Strong | Standard size, manage actively | 65-70% |
| 5 | 🥉 Valid | Reduced size, quick scalp | 55-60% |
| <5 | ⚫ Filtered | No signal shown | N/A |
### Adjusting Minimum Score
- **Conservative (Score ≥6)**: Fewer trades, higher win rate
- **Standard (Score ≥5)**: Balanced approach, 3-7 trades/day
- **Aggressive (Score ≥4)**: More trades, requires active management
---
## 📐 SIGNAL TYPES EXPLAINED
### 1. GRA Tier Signals (S🎯, A🎯, B🎯)
These are the primary signals from the merged GRA system:
```
TIER SIGNAL REQUIREMENTS:
═══════════════════════════
ALL must be TRUE:
├── ✓ Point movement meets tier threshold
├── ✓ Volume ≥ 1.8x average
├── ✓ Delta ≥ 62% (buy or sell dominance)
├── ✓ Body ≥ 72% of candle range
├── ✓ Range ≥ 1.4x average
├── ✓ Small opposite wick (<50% of body)
├── ✓ CVD confirms direction (if enabled)
├── ✓ Active session (LDN/NY/PWR)
└── ✓ Confluence Score ≥ minimum (default 5)
```
### 2. Zone Entry Signals (Z🎯)
When price enters a DeepFlow zone with confirmation:
```
ZONE ENTRY REQUIREMENTS:
═══════════════════════════
ALL must be TRUE:
├── ✓ Price inside fresh/tested zone (not broken)
├── ✓ Delta ≥ 62% in zone direction
├── ✓ Volume ≥ 1.5x average
└── ✓ Active session
NOTE: Z🎯 only appears when NOT already showing tier signal
(prevents duplicate signals on same candle)
```
### 3. Single Print Markers (SP)
Mark institutional impulse candles for future S/R:
```
SINGLE PRINT REQUIREMENTS:
═══════════════════════════
ALL must be TRUE:
├── ✓ Range ≥ 1.6x average
├── ✓ Body ≥ 72% of range
├── ✓ Volume ≥ 1.8x average
├── ✓ Delta ≥ 62% confirms direction
└── ✓ Active session
USE: Horizontal lines at high/low act as future S/R
```
---
## 🎯 TRADING STRATEGIES
### Strategy 1: Zone + Tier Confluence (Highest Probability)
```
THE ULTIMATE YM SETUP:
═══════════════════════
Setup:
1. Active DeepFlow zone exists (green box below for long)
2. Price pulls back INTO the zone
3. Tier signal fires INSIDE the zone (S🎯/A🎯)
4. Score shows 7+/10
Entry: Signal candle close
Stop: Below zone bottom (for longs)
Target: Based on tier (1.5-2.5:1 R:R)
Why It Works:
• Zone = institutional limit orders
• Tier signal = momentum confirmation
• Double confirmation = high probability
Expected Win Rate: 70-75%
```
### Strategy 2: Pure Tier Signal with POC Stop
```
SNIPER TIER TRADE:
══════════════════
Setup:
1. Tier signal appears (preferably A or S)
2. Score ≥ 5/10
3. Note POC level on signal candle
4. Red/green stop/target lines appear
Entry: Signal candle close
Stop: Beyond POC (shown on chart)
Target: Auto-calculated based on tier
Key: POC placement matters
• POC near candle bottom (longs) = STRONG
• POC in middle = weaker signal
• POC at extreme = possible exhaustion
Expected Win Rate: 60-65%
```
### Strategy 3: Zone Bounce (Continuation)
```
ZONE BOUNCE TRADE:
══════════════════
Setup:
1. Fresh zone created during session
2. Price leaves zone, moves in zone direction
3. Price returns to test zone (within 15 bars)
4. Z🎯 signal appears or rejection candle forms
Entry: At CE line (middle of zone)
Stop: Beyond zone edge
Target: Previous swing high/low
Why It Works:
• Zones represent unfilled orders
• First retest often finds support/resistance
• Lower volatility = cleaner bounces
Expected Win Rate: 55-60%
```
### Strategy 4: Single Print Scalp
```
SINGLE PRINT SCALP:
═══════════════════
Setup:
1. Single Print (SP) marker appears
2. Note the gold/purple lines at high/low
3. Wait for price to return to SP level
4. Look for rejection or tier signal at level
Entry: At SP line with confirmation
Stop: Beyond the SP line
Target: Quick 1:1 or to next structure
Why It Works:
• SP = price moved too fast, orders unfilled
• Price often returns to "fill" these levels
• YM's slower pace makes retests likely
Expected Win Rate: 55-60%
```
---
## 📊 TABLE LEGEND
| Field | Reading | Color Meaning |
|-------|---------|---------------|
| **Pts** | Current candle points | Gold/Green/Yellow = Tiered |
| **Tier** | S/A/B/X | Tier color or white |
| **Vol** | Volume ratio | 🟢 ≥1.8x, 🔴 <1.8x |
| **Delta** | Buy/Sell % | 🟢 Buy dom, 🔴 Sell dom |
| **Body** | Body % of range | 🟢 ≥72%, 🔴 <72% |
| **CVD** | Trend direction | ▲ Bullish, ▼ Bearish |
| **Sess** | Active session | 🟡 LDN!/NY!/PWR!, ⚫ --- |
| **POC** | Point of Control | 🟡 Gold price level |
| **Zone** | Zone position | 🟢 BUY⬚, 🔴 SELL⬚, ⚫ --- |
| **Zones** | Active zone count | #B/#S format |
| **Score** | Confluence score | 🟢 7+, 🟡 5-6, ⚫ <5 |
| **IMB** | Recent imbalances | Count in last 10 bars |
| **R:R** | Risk/Reward | 🟢 On signal, ⚫ No signal |
---
## ⏰ SESSION-SPECIFIC PLAYBOOKS
### London Session (3:00-5:00 AM ET)
```
CHARACTER: Slow, methodical, trend-building
VOLUME: Medium (50-70% of NY)
BEST SETUPS: Zone entries, A/B tier with zones
PLAYBOOK:
• Enter on zone retests
• Expect 15-25 pt moves
• Don't fight early direction
• Watch for pre-NY positioning
TYPICAL TRADES: 1-2
```
### NY Open (9:30-11:30 AM ET)
```
CHARACTER: Fast, volatile, high-conviction
VOLUME: Highest of day
BEST SETUPS: S/A tier, zone confluence
PLAYBOOK:
• First 15 min: Observe Initial Balance
• 9:45-10:15: Best setups form
• S-tier signals = ride the wave
• Be aggressive on high scores
TYPICAL TRADES: 2-3
```
### Power Hour (3:00-4:00 PM ET)
```
CHARACTER: Rebalancing, MOC orders
VOLUME: Medium-high (70-80% of NY)
BEST SETUPS: B tier scalps, zone entries
PLAYBOOK:
• Watch for mean reversion setups
• Quick scalps around POC levels
• Don't hold through close
• Take profits at 1:1 R:R
TYPICAL TRADES: 1-2
```
---
## 🔧 RECOMMENDED SETTINGS
### Conservative (Fewer, Better Trades)
| Setting | Value | Notes |
|---------|-------|-------|
| Min Confluence Score | 6 | Only strong setups |
| Min Volume Ratio | 2.0 | Higher bar |
| Delta Threshold | 65% | Stricter dominance |
| Max Zones | 8 | Less clutter |
### Standard (Balanced)
| Setting | Value | Notes |
|---------|-------|-------|
| Min Confluence Score | 5 | Default |
| Min Volume Ratio | 1.8 | Default |
| Delta Threshold | 62% | Default |
| Max Zones | 12 | Default |
### Aggressive (More Opportunities)
| Setting | Value | Notes |
|---------|-------|-------|
| Min Confluence Score | 4 | More signals |
| Min Volume Ratio | 1.5 | Lower bar |
| Delta Threshold | 60% | Looser |
| Max Zones | 15 | More context |
---
## 🚨 ALERT SETUP
Configure these alerts in TradingView:
| Alert | Priority | Action |
|-------|----------|--------|
| 🎯 YM S-TIER LONG/SHORT | 🔴 CRITICAL | Drop everything, check immediately |
| 🎯 YM A-TIER LONG/SHORT | 🟠 HIGH | Evaluate within 15 seconds |
| 🎯 YM B-TIER LONG/SHORT | 🟡 MEDIUM | Check if available |
| 🎯 YM ZONE BUY/SELL | 🟢 STANDARD | Good context entry |
| 📦 NEW ZONE | 🔵 INFO | Mark on mental map |
| ⭐ SINGLE PRINT | 🔵 INFO | Note for future S/R |
| SESSION OPEN | ⚪ INFO | Prepare to trade |
### Alert Message Format
```
🎯 YM A-LONG | YM1! @ 42,150 | 68%B | Score: 7/10 | IN ZONE | POC: 42,125 | Stop: 42,098 | SWING
```
---
## ⚠️ COMMON MISTAKES TO AVOID
| Mistake | Why It's Bad | Solution |
|---------|-------------|----------|
| Trading outside sessions | Low volume = noise | Wait for LDN/NY/PWR |
| Ignoring score | Low scores = low probability | Require ≥5/10 |
| Fighting the zone | Zones are institutional | Trade WITH zones |
| Oversizing B-tier | Quick scalps, not holds | 50% size max |
| Holding through news | Volatility spike | Exit before FOMC, NFP |
| Chasing after signal | Entry on close only | Miss it = wait for next |
| Ignoring POC position | Middle POC = indecision | Strong = extreme POC |
---
## 📈 DAILY TRADE JOURNAL TEMPLATE
```
DATE: ___________
SESSION: □ LDN □ NY □ PWR
TRADE 1:
├── Time: _______
├── Signal: S🎯 / A🎯 / B🎯 / Z🎯
├── Score: ___/10
├── Entry: _______
├── Stop: _______
├── Target: _______
├── In Zone: □ Yes □ No
├── Result: +/- ___ pts ($_____)
└── Notes: _______________________
TRADE 2:
DAILY SUMMARY:
├── Total Trades: ___
├── Win Rate: ___%
├── Net P/L: $_____
├── Best Setup: _______
└── Improvement: _______________________
```
---
## 🏆 GOLDEN RULES FOR YM
> **"YM rewards patience. Wait for the confluence—it's worth it."**
> **"Low volatility means you can size up. One good trade beats five forced trades."**
> **"Score 7+ is your edge. Anything less is gambling."**
> **"The zone + tier combo is your bread and butter. Master it."**
> **"Leave every trade with money. YM gives you time to manage."**
---
## 📊 VISUAL GUIDE
```
PERFECT YM SNIPER SETUP:
═══════════════════════════════════════════════════════════════════
│ Current Price
│
┌─────────────────────────┴────────────────────────────┐
│ BEARISH ZONE (Red) │
│- - - - - - - CE Line (Entry for shorts) - - - - - - │
│ │
└──────────────────────────────────────────────────────┘
│
══════════════════╪══════════════════ SP High (Purple)
│
┌─────────────────────┤
│█████████████████████│ ← A🎯 LONG Signal
│█████████████████████│ Score: 8/10
│ ●──────────────────│ ← POC (Gold) near bottom = STRONG
│█████████████████████│
│█████████████████████│
└─────────────────────┤
│
══════════════════╪══════════════════ SP Low (Purple)
│
┌─────────────────────────┴────────────────────────────┐
│ BULLISH ZONE (Green) │
│- - - - - - - CE Line (Entry for longs) - - - - - - -│
│██████████████████████████████████████████████████████│
└──────────────────────────────────────────────────────┘
│
Stop Loss
CONFLUENCE CHECK:
✓ A-Tier signal (+2)
✓ At edge of bullish zone (+2)
✓ POC at bottom of candle (+1)
✓ Strong volume 2.3x (+1)
✓ Delta 72% buyers (+1)
✓ CVD bullish (+1)
TOTAL: 8/10 = ELITE SETUP
ACTION: Full size LONG at signal candle close
STOP: Below zone bottom
TARGET: 2:1 R:R (auto-calculated)
```
---
## 🔧 TROUBLESHOOTING
| Issue | Cause | Fix |
|-------|-------|-----|
| No signals appearing | Score too high | Lower min score to 4-5 |
| Too many signals | Score too low | Raise min score to 6+ |
| Zones cluttering chart | Max zones high | Reduce to 8-10 |
| POC not showing | Tiered filter on | Check "POC Only Tiered" |
| Session not highlighting | Wrong timezone | Verify timezone setting |
| Alerts not firing | Not configured | Set up in TradingView alerts |
---
## 📝 PINE SCRIPT V6 TECHNICAL NOTES
This indicator uses advanced features:
- **User Defined Types (UDT)**: Clean state management for zones/imbalances
- **`request.security_lower_tf()`**: Intrabar volume analysis
- **Dynamic Array Management**: Efficient memory for drawings
- **Confluence Scoring Engine**: Multi-factor signal qualification
- **Auto Stop/Target**: Dynamic risk management calculation
**Minimum TradingView Plan:** Pro (for intrabar data access)
---
*© Alexandro Disla - YM Ultimate SNIPER*
*Pine Script v6 | TradingView*
*Unified GRA v5 + DeepFlow Zones | YM-Optimized*
Indikator dan strategi
Donchian ForecastDonchian Forecast – multi-timeframe Donchian/ATR bias with ADX regime blending
Donchian Forecast is a multi-timeframe bias tool that turns classic Donchian channels into a normalized trend/mean-reversion “forecast” and a single bias value in .
It projects a short polyline path from the current price and shows how that path adapts when the market shifts from ranging to trending (via ADX).
---
Concept
1. Donchian position → direction
For each timeframe, the script measures where price sits inside its Donchian channel:
-1 = near channel low
0 = middle
+1 = near channel high
This Donchian position is multiplied by ATR to create a **price delta** (how far the forecast moves from current price).
2. Local behavior: trend vs mean-reversion around Donchian
The indicator treats the edges vs middle of the Donchian channel differently:
* By default, edges behave more “trend-like”, middle more “mean-reverting”.
* If you enable the reversed option, this logic flips (edges = mean-reverting, middle = trend-
like).
* This “local” behavior is controlled smoothly by the absolute Donchian position |pos| (not by hard zone switches).
3. Global ADX modulation (regime aware)
ADX is mapped from your chosen low → high thresholds into a signed factor in :
* ADX ≤ low → -1 (fully reversed behavior, more range/mean-reversion oriented)
* ADX ≥ high → +1 (fully normal behavior, more trend oriented)
* Values in between create a **smooth transition**.
* This global factor can:
* Keep the local behavior as is (trending regime),
* Flip it (range regime), or
* Neutralize it (indecisive regime).
4. Multi-timeframe aggregation (1x–12x chart timeframe)
* The script repeats the same logic across 12 horizons:
* 1x = chart timeframe
* 2x..12x = multiples of the chart timeframe (e.g., 5m → 10m, 15m, …; 1h → 2h, 3h, …).
* For each horizon it builds:
* Donchian position
* ATR-scaled delta (in price units)
* Locally + globally blended delta (after Donchian + ADX logic).
* These blended deltas are ATR-weighted and summed into a single bias in , which is then shown as Bias % in the on-chart table.
---
### What you see on the chart
* Forecast polyline
* Starting at the current close, the indicator draws a short chain of **up to 12 segments**:
* Segment 1: from current price → 1x projection
* Segment 2: 1x → 2x projection
* … up to 12x.
* Each segment is:
* Green when its blended delta is ≥ 0 (upward bias)
* Red when its blended delta is < 0 (downward bias)
* This is not future price, but a synthetic path showing how the Donchian/ATR/ADX model “expects” price to drift across multiple horizons.
* Bias table (top-center)
* `Bias: X.Y%`
* > 0% (green) → net upward bias across horizons
* < 0% (red) → net downward bias
* Magnitude (e.g., ±70–100%) ≈ strength of the directional skew.
* `ADX:` current ADX value (from your DMI settings).
* `ADXBlend:` the signed ADX factor in :
* +1 ≈ fully “trend-interpretation” of Donchian behavior
* 0 ≈ neutral / mixed regime
* -1 ≈ fully “reversed/mean-reversion interpretation”
---
Inputs & settings
Core Donchian / ATR
* Donchian Length – lookback for Donchian high/low on each horizon.
* Price Source – input series used for position inside the Donchian channel (default: close).
* ATR Length – ATR lookback for all horizons.
* ATR Multiplier – scales the size of each forecast step in price units (higher = longer segments / more aggressive forecast).
*Local behavior at high ADX
* Reversed local blend at high ADX?
* Off (default) – edges behave more trend-like, middle more mean-reverting.
* On – flips that logic (edges more mean-reverting, middle more trend-like).
* The actual effect is always modulated by the global ADX factor, so you can experiment with how the regime logic feels in different markets.
Global ADX blending
* DMI DI Length – period for the DI+ and DI- components.
* ADX Smoothing – smoothing length for ADX.
* ADX low (mean-rev zone) – below this level, the global factor pushes behavior toward reversal/range logic .
* ADX high (trend zone) – above this level, the global factor pushes behavior toward **trend logic**.
* Values between low and high create a smooth blend rather than a hard on/off switch.
---
How to use it (examples)
* Directional bias dashboard
* Use the Bias % as a compact summary of multi-horizon Donchian/ATR/ADX conditions:
* Consider only trades aligned with the sign of Bias (e.g., longs only when Bias > 0).
* Use the magnitude to filter for **strong vs weak** directional contexts.
* Regime-aware context
* Watch ADX and ADXBlend:
* High ADX & ADXBlend ≈ +1 → favor trend-continuation ideas.
* Low ADX & ADXBlend ≈ -1 → favor range/mean-reversion ideas.
* Around 0 → mixed/transition regimes; forecasts will be more muted.
* Visual sanity check for systems
* Overlay Donchian Forecast on your usual entries/exits to see:
* When your system trades **with** the multi-TF Donchian bias.
* When it trades **against** it (possible fade setups or no-trade zones).
This script does not generate entry or exit signals by itself. It is a contextual/forecast tool meant to sit on top of your own trading logic.
---
Notes
* Works on most symbols and timeframes; higher-timeframe multiples are built from the chart timeframe.
* The forecast line is a model-based projection, not a prediction or guarantee of future price.
* Always combine this with your own risk management, testing, and judgement. This is for educational and analytical purposes only and is not financial advice.
Weekly Open + Monday High/Low (After Monday Close)b]Description
This indicator marks key weekly reference levels based on Monday’s price behavior.
It automatically detects each trading week and tracks:
• Weekly Open – the first traded price of the new week
• Monday High – the highest price reached on Monday
• Monday Low – the lowest price reached on Monday
Logic
The Monday range is fully captured only after Monday has closed .
No levels are plotted during Monday.
Starting from Tuesday, the indicator displays thin dots showing the completed Monday High, Monday Low, and Weekly Open for the remainder of the week.
When a new week begins, the indicator resets automatically and begins tracking the new week’s Monday.
Customization
The user can choose colors for:
• Monday High/Low
• Weekly Open
Purpose
This indicator helps traders visualize weekly structure, monitor weekly opening levels, and quickly identify Monday’s range for weekly bias analysis or strategy development.
It can also be used to manually backtest Monday range strategies .
6/20 EMA Crossover MarksPuts a green arrow or red arrow at the bottom of the chart when the 6 period EMA crosses above (or below) the 20 period EMA.
In settings you can move the arrow marks to be at the bar etc.
This is a simplified way to see moving average convergence/divergence crossovers.
AssetCorrelationLibraryLibrary "AssetCorrelationLibrary™"
detectIndicesFutures(ticker)
Detects Index Futures (NQ/ES/YM/RTY + micro variants)
Parameters:
ticker (string) : The ticker string to check (typically syminfo.ticker)
Returns: AssetPairing with secondary and tertiary assets configured
detectMetalsFutures(ticker)
Detects Metal Futures (GC/SI/HG + micro variants)
Parameters:
ticker (string) : The ticker string to check
Returns: AssetPairing with secondary and tertiary assets configured
detectForexFutures(ticker)
Detects Forex Futures (6E/6B + micro variants)
Parameters:
ticker (string) : The ticker string to check
Returns: AssetPairing with secondary and tertiary assets configured
detectEnergyFutures(ticker)
Detects Energy Futures (CL/RB/HO + micro variants)
Parameters:
ticker (string) : The ticker string to check
Returns: AssetPairing with secondary and tertiary assets configured
detectTreasuryFutures(ticker)
Detects Treasury Futures (ZB/ZF/ZN)
Parameters:
ticker (string) : The ticker string to check
Returns: AssetPairing with secondary and tertiary assets configured
detectForexCFD(ticker, tickerId)
Detects Forex CFD pairs (EUR/GBP/DXY, USD/JPY/CHF triads)
Parameters:
ticker (string) : The ticker string to check
tickerId (string) : The full ticker ID (syminfo.tickerid) for primary asset
Returns: AssetPairing with secondary and tertiary assets configured
detectCrypto(ticker, tickerId)
Detects major Crypto assets (BTC, ETH, SOL, XRP, alts)
Parameters:
ticker (string) : The ticker string to check
tickerId (string) : The full ticker ID for primary asset
Returns: AssetPairing with secondary and tertiary assets configured
detectMetalsCFD(ticker, tickerId)
Detects Metals CFD (XAU/XAG/Copper)
Parameters:
ticker (string) : The ticker string to check
tickerId (string) : The full ticker ID for primary asset
Returns: AssetPairing with secondary and tertiary assets configured
detectIndicesCFD(ticker, tickerId)
Detects Indices CFD (NAS100/SP500/DJ30)
Parameters:
ticker (string) : The ticker string to check
tickerId (string) : The full ticker ID for primary asset
Returns: AssetPairing with secondary and tertiary assets configured
detectEUStocks(ticker, tickerId)
Detects EU Stock Indices (GER40/EU50) - Dyad only
Parameters:
ticker (string) : The ticker string to check
tickerId (string) : The full ticker ID for primary asset
Returns: AssetPairing with secondary asset configured (tertiary empty for dyad)
getDefaultFallback(tickerId)
Returns default fallback assets (chart ticker only, no correlation)
Parameters:
tickerId (string) : The full ticker ID for primary asset
Returns: AssetPairing with chart ticker as primary, empty secondary/tertiary (no correlation)
applySessionModifierWithBackadjust(tickerStr, sessionType)
Applies futures session modifier to ticker WITH back adjustment
Parameters:
tickerStr (string) : The ticker to modify
sessionType (string) : The session type (syminfo.session)
Returns: Modified ticker string with session and backadjustment.on applied
applySessionModifierNoBackadjust(tickerStr, sessionType)
Applies futures session modifier to ticker WITHOUT back adjustment
Parameters:
tickerStr (string) : The ticker to modify
sessionType (string) : The session type (syminfo.session)
Returns: Modified ticker string with session and backadjustment.off applied
isTriadMode(pairing)
Checks if a pairing represents a valid triad (3 assets)
Parameters:
pairing (AssetPairing) : The AssetPairing to check
Returns: True if tertiary is non-empty (triad mode), false for dyad
getAssetTicker(tickerId)
Extracts clean ticker string from full ticker ID
Parameters:
tickerId (string) : The full ticker ID (e.g., "BITGET:BTCUSDT.P")
Returns: Clean ticker string (e.g., "BTCUSDT.P")
resolveTriad(chartTickerId, pairing)
Resolves triad asset assignments with proper inversion flags
Parameters:
chartTickerId (string) : The current chart's ticker ID (syminfo.tickerid)
pairing (AssetPairing) : The detected AssetPairing
Returns: Tuple
resolveDyad(chartTickerId, pairing)
Resolves dyad asset assignment with proper inversion flag
Parameters:
chartTickerId (string) : The current chart's ticker ID
pairing (AssetPairing) : The detected AssetPairing (dyad: tertiary is empty)
Returns: Tuple
resolveAssets(ticker, tickerId, assetType, sessionType, useBackadjust)
Main auto-detection entry point. Detects asset category and returns fully resolved config.
Parameters:
ticker (string) : The ticker string to check (typically syminfo.ticker)
tickerId (string) : The full ticker ID (typically syminfo.tickerid)
assetType (string) : The asset type (typically syminfo.type)
sessionType (string) : The session type for futures (typically syminfo.session)
useBackadjust (bool) : Whether to apply back adjustment for futures session alignment
Returns: AssetConfig with fully resolved assets, inversion flags, and detection status
resolveCurrentChart()
Simplified auto-detection using current chart's syminfo values
Returns: AssetConfig with fully resolved assets, inversion flags, and detection status
AssetPairing
Core asset pairing structure for triad/dyad configurations
Fields:
primary (series string) : The primary (chart) asset ticker ID
secondary (series string) : The secondary correlated asset ticker ID
tertiary (series string) : The tertiary correlated asset ticker ID (empty for dyad)
invertSecondary (series bool) : Whether secondary asset should be inverted for divergence calc
invertTertiary (series bool) : Whether tertiary asset should be inverted for divergence calc
AssetConfig
Full asset resolution result with mode detection and computed values
Fields:
detected (series bool) : Whether auto-detection succeeded
isTriadMode (series bool) : True if triad (3 assets), false if dyad (2 assets)
primary (series string) : The resolved primary asset ticker ID
secondary (series string) : The resolved secondary asset ticker ID
tertiary (series string) : The resolved tertiary asset ticker ID (empty for dyad)
invertSecondary (series bool) : Computed inversion flag for secondary asset
invertTertiary (series bool) : Computed inversion flag for tertiary asset
assetCategory (series string) : String describing the detected asset category
Note to potential users.
I did not really intend to make this public but i have to in order to avoid any potential compliance issues with the TradingView Moderation Team and the House Rules.
However if you are to use this library, you cannot make your code closed source / invite only as it is intellectual property. The only exception to this is if I am credited in the header of your code and i explicitly give permission to do so.
As per the TradingView house rules, you are completely FREE to do with this as you like, provided the script stays private.
Use the @fstarcapital tag to give credits
❤️ from cephxs
Combined EMA (5, 9, 21)A single code to combine the 5 9 and 21 EMA's. This script colour codes the different EMAs, yellow orage and red. This is editable if you prefer a different combination. The tie frae is "as chart"
BAY_PIVOT S/R(4 Full Lines + ALL Labels)//@version=5
indicator("BAY_PIVOT S/R(4 Full Lines + ALL Labels)", overlay=true, max_labels_count=500, max_lines_count=500)
// ────────────────────── TOGGLES ──────────────────────
showPivot = input.bool(true, "Show Pivot (Full Line + Label)")
showTarget = input.bool(true, "Show Target (Full Line + Label)")
showLast = input.bool(true, "Show Last Close (Full Line + Label)")
showPrevClose = input.bool(true, "Show Previous Close (Full Line + Label)")
useBarchartLast = input.bool(true, "Use Barchart 'Last' (Settlement Price)")
showR1R2R3 = input.bool(true, "Show R1 • R2 • R3")
showS1S2S3 = input.bool(true, "Show S1 • S2 • S3")
showStdDev = input.bool(true, "Show ±1σ ±2σ ±3σ")
showFib4W = input.bool(true, "Show 4-Week Fibs")
showFib13W = input.bool(true, "Show 13-Week Fibs")
showMonthHL = input.bool(true, "Show 1M High / Low")
showEntry1 = input.bool(false, "Show Manual Entry 1")
showEntry2 = input.bool(false, "Show Manual Entry 2")
entry1 = input.float(0.0, "Manual Entry 1", step=0.25)
entry2 = input.float(0.0, "Manual Entry 2", step=0.25)
stdLen = input.int(20, "StdDev Length", minval=1)
fib4wBars = input.int(20, "4W Fib Lookback")
fib13wBars = input.int(65, "13W Fib Lookback")
// ────────────────────── DAILY CALCULATIONS ──────────────────────
high_y = request.security(syminfo.tickerid, "D", high , lookahead=barmerge.lookahead_on)
low_y = request.security(syminfo.tickerid, "D", low , lookahead=barmerge.lookahead_on)
close_y = request.security(syminfo.tickerid, "D", close , lookahead=barmerge.lookahead_on)
pivot = (high_y + low_y + close_y) / 3
r1 = pivot + 0.382 * (high_y - low_y)
r2 = pivot + 0.618 * (high_y - low_y)
r3 = pivot + (high_y - low_y)
s1 = pivot - 0.382 * (high_y - low_y)
s2 = pivot - 0.618 * (high_y - low_y)
s3 = pivot - (high_y - low_y)
prevClose = close_y
last = useBarchartLast ? request.security(syminfo.tickerid, "D", close , lookahead=barmerge.lookahead_off) : close
target = pivot + (pivot - prevClose)
// StdDev + Fibs + Monthly (unchanged)
basis = ta.sma(close, stdLen)
dev = ta.stdev(close, stdLen)
stdRes1 = basis + dev
stdRes2 = basis + dev*2
stdRes3 = basis + dev*3
stdSup1 = basis - dev
stdSup2 = basis - dev*2
stdSup3 = basis - dev*3
high4w = ta.highest(high, fib4wBars)
low4w = ta.lowest(low, fib4wBars)
fib382_4w = high4w - (high4w - low4w) * 0.382
fib50_4w = high4w - (high4w - low4w) * 0.500
high13w = ta.highest(high, fib13wBars)
low13w = ta.lowest(low, fib13wBars)
fib382_13w_high = high13w - (high13w - low13w) * 0.382
fib50_13w = high13w - (high13w - low13w) * 0.500
fib382_13w_low = low13w + (high13w - low13w) * 0.382
monthHigh = ta.highest(high, 30)
monthLow = ta.lowest(low, 30)
// ────────────────────── COLORS ──────────────────────
colRed = color.rgb(255,0,0)
colLime = color.rgb(0,255,0)
colYellow = color.rgb(255,255,0)
colOrange = color.rgb(255,165,0)
colWhite = color.rgb(255,255,255)
colGray = color.rgb(128,128,128)
colMagenta = color.rgb(255,0,255)
colPink = color.rgb(233,30,99)
colCyan = color.rgb(0,188,212)
colBlue = color.rgb(0,122,255)
colPurple = color.rgb(128,0,128)
colRed50 = color.new(colRed,50)
colGreen50 = color.new(colLime,50)
// ────────────────────── 4 KEY FULL LINES ──────────────────────
plot(showPivot ? pivot : na, title="PIVOT", color=colYellow, linewidth=3, style=plot.style_linebr)
plot(showTarget ? target : na, title="TARGET", color=colOrange, linewidth=2, style=plot.style_linebr)
plot(showLast ? last : na, title="LAST", color=colWhite, linewidth=2, style=plot.style_linebr)
plot(showPrevClose ? prevClose : na, title="PREV CLOSE",color=colGray, linewidth=1, style=plot.style_linebr)
// ────────────────────── LABELS FOR ALL 4 KEY LEVELS (SAME STYLE AS OTHERS) ──────────────────────
f_label(price, txt, bgColor, txtColor) =>
if barstate.islast and not na(price)
label.new(bar_index, price, txt, style=label.style_label_left, color=bgColor, textcolor=txtColor, size=size.small)
if barstate.islast
showPivot ? f_label(pivot, "PIVOT " + str.tostring(pivot, "#.##"), colYellow, color.black) : na
showTarget ? f_label(target, "TARGET " + str.tostring(target, "#.##"), colOrange, color.white) : na
showLast ? f_label(last, "LAST " + str.tostring(last, "#.##"), colWhite, color.black) : na
showPrevClose ? f_label(prevClose, "PREV CLOSE "+ str.tostring(prevClose, "#.##"), colGray, color.white) : na
// ────────────────────── OTHER LEVELS – line stops at label ──────────────────────
f_level(p, txt, tc, lc, w=1) =>
if barstate.islast and not na(p)
lbl = label.new(bar_index, p, txt, style=label.style_label_left, color=lc, textcolor=tc, size=size.small)
line.new(bar_index-400, p, label.get_x(lbl), p, extend=extend.none, color=lc, width=w)
if barstate.islast
if showR1R2R3
f_level(r1, "R1 " + str.tostring(r1, "#.##"), color.white, colRed)
f_level(r2, "R2 " + str.tostring(r2, "#.##"), color.white, colRed)
f_level(r3, "R3 " + str.tostring(r3, "#.##"), color.white, colRed, 2)
if showS1S2S3
f_level(s1, "S1 " + str.tostring(s1, "#.##"), color.black, colLime)
f_level(s2, "S2 " + str.tostring(s2, "#.##"), color.black, colLime)
f_level(s3, "S3 " + str.tostring(s3, "#.##"), color.black, colLime, 2)
if showStdDev
f_level(stdRes1, "+1σ " + str.tostring(stdRes1, "#.##"), color.white, colPink)
f_level(stdRes2, "+2σ " + str.tostring(stdRes2, "#.##"), color.white, colPink)
f_level(stdRes3, "+3σ " + str.tostring(stdRes3, "#.##"), color.white, colPink, 2)
f_level(stdSup1, "-1σ " + str.tostring(stdSup1, "#.##"), color.white, colCyan)
f_level(stdSup2, "-2σ " + str.tostring(stdSup2, "#.##"), color.white, colCyan)
f_level(stdSup3, "-3σ " + str.tostring(stdSup3, "#.##"), color.white, colCyan, 2)
if showFib4W
f_level(fib382_4w, "38.2% 4W " + str.tostring(fib382_4w, "#.##"), color.white, colMagenta)
f_level(fib50_4w, "50% 4W " + str.tostring(fib50_4w, "#.##"), color.white, colMagenta)
if showFib13W
f_level(fib382_13w_high, "38.2% 13W High " + str.tostring(fib382_13w_high, "#.##"), color.white, colMagenta)
f_level(fib50_13w, "50% 13W " + str.tostring(fib50_13w, "#.##"), color.white, colMagenta)
f_level(fib382_13w_low, "38.2% 13W Low " + str.tostring(fib382_13w_low, "#.##"), color.white, colMagenta)
if showMonthHL
f_level(monthHigh, "1M HIGH " + str.tostring(monthHigh, "#.##"), color.white, colRed50, 2)
f_level(monthLow, "1M LOW " + str.tostring(monthLow, "#.##"), color.white, colGreen50, 2)
// Manual entries
plot(showEntry1 and entry1 > 0 ? entry1 : na, "Entry 1", color=colBlue, linewidth=2, style=plot.style_linebr)
plot(showEntry2 and entry2 > 0 ? entry2 : na, "Entry 2", color=colPurple, linewidth=2, style=plot.style_linebr)
// Background
bgcolor(close > pivot ? color.new(color.blue, 95) : color.new(color.red, 95))
EMA 9/20/50/100/200This script plots the five most commonly used Exponential Moving Averages (EMAs): 9, 20, 50, 100, and 200. These EMAs help traders quickly identify short-term momentum, medium-term trends, and long-term market direction.
It is useful for:
Trend identification
Momentum confirmation
Pullback entries
Reversal detection
Multi-timeframe confluence trading
What’s Included
EMA 9 → short-term momentum
EMA 20 → near-term trend guide
EMA 50 → medium-term trend
EMA 100 → broad trend structure
EMA 200 → long-term direction
Each EMA is color-coded for clarity, making it easy to read and visually track trend shifts.
How to Use
When shorter EMAs cross above longer EMAs → bullish trend strengthening
When shorter EMAs cross below longer EMAs → bearish trend strengthening
Wide spacing between EMAs indicates a strong trend
Compression or clustering often signals potential reversals or breakout conditions
This indicator is simple, clean, and effective for all timeframes and asset classes.
⏰Forex Market Clock Table (DST Auto)⏰ Forex Market Clock Table (DST Auto)
Keep track of key forex session times with this clean, real-time table showing local time, market status (open/closed), and automatic Daylight Saving Time (DST) adjustments for Sydney, Tokyo, London, and New York. Displays countdowns to session open/close and highlights weekends. Fully customizable position, colors, and text size—perfect for multi-session traders.
Dark VectorThe Dark Vector is a professional-grade trend-following system designed to solve the two most common causes of trading losses: over-trading during chop and exiting trends too early.
Unlike standard indicators that continuously recalculate based on every price tick, this system operates on a strict "State Machine" logic. This means it tracks the current market phase and refuses to issue conflicting signals. If the system is Long, it mathematically cannot issue another Long signal until the previous trend has concluded.
The system relies on three core engines:
1. The Trend Architecture (Modified SuperTrend) The backbone of the system is an ATR-based trailing stop mechanism. It creates a dynamic trend line that adjusts to volatility. When volatility expands, the line widens to prevent premature stop-outs during market noise. When volatility contracts, the line tightens to protect profits.
2. The Noise Gate (Choppiness Index) This is the system's safety filter. It measures the fractal efficiency of the market—essentially determining if price is moving in a clear direction or moving sideways. When the market enters a consolidation phase (sideways chop), the Noise Gate activates, turning the candles gray and physically blocking all new entry signals. This prevents the user from entering trades in low-probability environments.
3. The Singularity State Machine This internal logic enforces trading discipline. It treats the trend as a binary state (Bullish or Bearish). It forces an alternating signal pattern, ensuring that you are only alerted to the specific moment a major trend reversal occurs, rather than being bombarded with repetitive signals during a long run.
Best Way to Use This System
To maximize profitability and minimize false positives, it is recommended to use the "Regime & Alignment" methodology outlined below.
1. The Traffic Light Rule
Before placing any trade, observe the color of the candlesticks on the chart:
Green Candles: The market is in a confirmed Bullish Impulse. You should only look for Long entries or hold existing positions. Shorting is statistically dangerous here.
Red Candles: The market is in a confirmed Bearish Impulse. You should only look for Short entries or hold cash. Buying the dip here is high-risk.
Gray Candles: The market is in a Chop/Squeeze regime. The Noise Gate is active. Do not open new positions. This indicates indecision, and the market is likely to destroy option premiums or stop out tight leverage. Wait for the candles to return to Green or Red before acting.
2. The Entry Trigger
Enter a trade only when a text label (LONG or SHORT) appears.
Long Signal: Occurs when price closes above the Trend Line AND the market is not in a Chop zone.
Short Signal: Occurs when price closes below the Trend Line AND the market is not in a Chop zone.
3. The Exit Strategy
There are two ways to manage the trade once active:
The Trend Follower (Conservative): Hold the position until the Trend Line flips color. This captures the maximum duration of the move but may give back some profit at the very end.
The Stop Loss (Active): The Trend Line (the white value in your dashboard) acts as your Trailing Stop. If a candle closes beyond this line, the trend is technically invalidated. You should exit immediately.
4. Multi-Timeframe Alignment (The Golden Rule)
The highest win rates are achieved when your trading timeframe aligns with the higher-order trend.
Step 1: Check the 4-Hour chart. Is the Trend Line Green?
Step 2: Switch to the 15-Minute chart.
Step 3: Only take the LONG signals on the 15-Minute chart. Ignore all Short signals.
Reasoning: Counter-trend trades often fail. By trading only in the direction of the higher timeframe, you are swimming with the current, not against it.
Recommended Settings by Style
Swing Trading (Daily/4H): Keep the Trend Factor at 4.0. This ignores daily noise and keeps you in the trade for weeks or months.
Day Trading (1H/15m): Lower the Trend Factor to 3.0. This makes the system more reactive to intraday reversals.
Scalping (5m): Lower the Trend Factor to 2.0 and the ATR Length to 7. This is aggressive and requires strict adherence to the Stop Loss.
Disclaimer
This indicator is for educational and informational purposes only. It does not constitute financial advice, investment advice, or a recommendation to buy or sell any asset. Trading cryptocurrencies, stocks, and futures involves a high degree of risk and the potential for significant financial loss. The user assumes all responsibility for their trading decisions. Past performance of any system or indicator is not indicative of future results. Always practice risk management and never trade with money you cannot afford to lose.
VB Sigma Smart Momentum IndicatorVB Sigma Smart Momentum Indicator (VBSSMI)
The VBSSMI provides a consolidated decision-support framework that surfaces market participation, trend integrity, and liquidity conditions in a single visual environment. The tool integrates four analytical modules: MCDX Flow Mapping, Donchian Regime Layers, Banker Flow Modeling, and Chop Zone Trend Classification. Together, these components convert raw price movement into an actionable interpretation of who is in control, whether momentum is durable, and what phase the instrument is currently cycling through.
How to Use the Indicator (Practical Workflow)
1. Start with Institutional / Banker Flow (Pink/Red/Yellow/Green Candles)
This is the primary signal layer. It tells you when high-capacity participants are increasing, reducing, or reversing risk.
Yellow Candle — Entry Bias
Indicates a potential institutional initiation when their trend metric crosses above their accumulation threshold.
Operational signal: instrument enters “monitor for entry” state.
Green Candle — Accumulation State
Fund-trend > bullbearline.
Operational signal: trend integrity improving; pullbacks are generally buyable.
White Candle — Distribution / Cooling
Fund-trend weakening but not broken.
Operational signal: tighten stops; momentum deteriorating.
Red Candle — Exit / Trend Failure
Fund-trend < bullbearline.
Operational signal: momentum regime invalidated; avoid long risk.
Blue Candle — Weak Rebound
A temporary uptick within broader weakness.
Operational signal: do not mistake this for a durable reversal.
2. Validate alignment with Flow Chips (Retail / Trader / Institutional)
These three flow columns (MCDX layers) answer: who is actually participating?
Retailer Flow (Locked Chips – Green)
High values imply retail conviction, often late-cycle.
Good for confirming trend strength, not timing entries.
Trader Zone Flow (Float Chips – Yellow)
When this spikes, volatility and tactical positioning increase.
Signal: strong short-term engagement, supports breakout/trend continuation.
Institutional Flow (Profitable Chips – Red/Pink)
This is the “true north” of momentum.
Rising values = institutions controlling price discovery.
Signal: long setups have statistical tailwind.
The operational guidance is straightforward:
Institutional Flow > Trader Flow > Retail Flow
is the healthiest configuration for sustainable upside momentum.
3. Confirm Breakout / Breakdown Conditions with Donchian Regime Columns
The vertical Donchian stack illustrates trend regime in a time-compressed format.
Bright Blue/Cyan
Structure expanding upward (breakout cluster).
Dark Purple/Red
Structure breaking downward (breakdown cluster).
Mixed Columns
Transitional or indecisive conditions.
Interpret it as a “momentum backdrop”:
If Donchian columns and Banker Flow candles disagree, avoid entries.
4. Consult the Chop Zone Strip Before Committing Capital
The Chop Zone uses EMA angle to determine whether the market is trending or congested.
Greens/Blues → Trend phase (favorable environment for continuation trades).
Yellows/Oranges/Reds → High noise probability; expect false signals.
Operationally:
Never enter breakout setups during yellow/orange/red chop.
5. Final Decision Framework (Checklist)
A long setup typically requires:
Green or Yellow Banker Flow Candle
Institutional Flow rising
Donchian columns in bullish regime colors
Chop Zone in a trend color (not red/yellow/orange)
A short setup is the exact inverse.
Recommended Use Cases
Momentum trading
Swing position building
Institutional-flow confirmation
Trend-filtering before deploying breakout systems
Screening for strong/weak symbols in multi-asset rotation strategies
Bollinger Bands Delta Matrix Analytics [BDMA] Bollinger Bands Delta Matrix Analytics (BDMA) v7.0
Deep Kinetic Engine – 5x8 Volatility & Delta Decision Matrix
1. Introduction & Concept
Bollinger Bands Delta Matrix Analytics (BDMA) v7.0 is an analytical framework that merges:
- Spatial analysis via Bollinger Bands (%B location),
- with a 4-factor Deep Kinetic Engine based on:
• Total Volume
• Buy Volume
• Sell Volume
• Delta (Buy – Sell) Z-Scores
and converts them into an expanded 5×8 decision matrix that continuously tracks where price is trading and how the underlying orderflow is behaving.
BDMA is not a trading system or strategy. It does not generate entry/exit signals.
Instead, it provides a structured contextual map of volatility, volume, and delta so traders can:
- identify climactic extensions vs. fakeouts,
- distinguish strong initiative moves vs. passive absorption,
- and detect squeezes, traps, and liquidity voids with a unified visual dashboard.
2. Spatial Engine – Bollinger S-States (S1–S5)
The spatial dimension of BDMA comes from classic Bollinger Bands.
Price location is expressed as Percent B (%B) and mapped into 5 spatial states (S-States):
S1 – Hyper Extension (Above Upper Band)
Price has pushed beyond the upper Bollinger Band.
Often associated with parabolic or blow-off behavior, late-stage momentum, and elevated reversal risk.
S2 – Resistance Test (Upper Zone)
Price trades in the upper Bollinger region but remains inside the bands.
Represents a sustained test of resistance, typically within an established or emerging uptrend.
S3 – Neutral Zone (Middle)
Price hovers around the mid-band.
This is the mean reversion gravity field where the market often consolidates or transitions between regimes.
S4 – Support Test (Lower Zone)
Price trades in the lower Bollinger region but inside the bands.
Represents a sustained test of support within range or downtrend structures.
S5 – Hyper Drop (Below Lower Band)
Price extends below the lower Bollinger Band.
Often aligned with panic, forced liquidations, or capitulation-type behavior, with increased snap-back risk.
These 5 S-States define the vertical axis (rows) of the BDMA matrix.
3. Deep Kinetic Engine – 4-Factor Z-Score & D-States (D1–D8)
The Deep Kinetic Engine transforms raw volume and delta into standardized Z-Scores to measure how abnormal current activity is relative to its recent history.
For each bar:
- Raw Buy Volume is estimated from the candle’s position within its range
- Raw Sell Volume is complementary to buy volume
- Raw Delta = Buy Volume – Sell Volume
- Total Volume = Buy Volume + Sell Volume
These 4 series are then normalized using a unified Z-Score lookback to produce:
1. Z_Vol_Total – overall activity and liquidity intensity
2. Z_Vol_Buy – aggression from buyers (attack)
3. Z_Vol_Sell – aggression from sellers (defense or attack)
4. Z_Delta – net victory of one side over the other
Thresholds for Extreme, Significant, and Neutral Z-Score levels are fully configurable, allowing you to tune the sensitivity of the kinetic states.
Using Z_Vol_Total and Z_Delta (plus threshold logic), BDMA assigns one of 8 Deep Kinetic states (D-States):
D1 – Climax Buy
Extreme Total Volume + Extreme Positive Delta → Buying climax or blow-off behavior.
D2 – Strong Buy
High Volume + High Positive Delta → Confirmed bullish initiative activity.
D3 – Weak Buy / Fakeout
Low Volume + High Positive Delta → Bullish delta without commitment, low-liquidity breakout risk.
D4 – Absorption / Conflict
High Volume + Neutral Delta → Aggressive two-way trade, strong absorption, war zone behavior.
D5 – Neutral
Low Volume + Neutral Delta → Low-energy environment with low conviction.
D6 – Weak Sell / Fakeout
Low Volume + High Negative Delta → Bearish delta without commitment, low-liquidity breakdown risk.
D7 – Strong Sell
High Volume + High Negative Delta → Confirmed bearish initiative activity.
D8 – Capitulation
Extreme Volume + Extreme Negative Delta → Panic selling or capitulation regime.
These 8 D-States define the horizontal axis (columns) of the BDMA matrix.
4. The 5×8 BDMA Decision Matrix
The core of BDMA is a 5×8 matrix where:
- Rows (1–5) = Spatial S-States (S1…S5)
- Columns (1–8) = Kinetic D-States (D1…D8)
Each of the 40 possible combinations (SxDy) is pre-computed and mapped to:
- a Status or Regime Title (for example: Climax Breakout, Bear Trap Spring, Capitulation Breakdown),
- a Bias (Climactic Bull, Neutral, Strong Bear, Conflict or Reversal Risk, and similar labels),
- and a Strategic Signal or Consideration (for example: High reversal risk, Wait for confirmation, Low probability zone – avoid).
Internally, BDMA resolves all 40 regimes so the current state can be displayed on the dashboard without performance overhead.
5. Key Regime Families (How to Read the Matrix)
5.1. Breakouts and Breakdowns
Climax Breakout (Top-side)
Spatial S1 with Kinetic D1 or D2
Bias: Explosive or Extreme Bull
Signal:
- Strong or climactic upside extension with abnormal bullish orderflow.
- Trend continuation is possible, but reversal risk is extremely high after blow-off phases.
Low-Conviction Breakout (Fakeout Risk)
S1 with D3 (Weak Buy, low liquidity)
Bias: Weak Bull – Caution
Signal:
- Breakout not supported by volume.
- Elevated risk of failed auction or bull trap.
Capitulation Breakdown (Bottom-side)
Spatial S5 with Kinetic D8
Bias: Climactic Bear (panic)
Signal:
- Capitulation-type selling or forced liquidations.
- Trend can still proceed, but snap-back or violent short-covering risk is high.
Initiative Breakdown vs. Weak Breakdown
- Strong, high-volume breakdown typically corresponds to D7 (Strong Sell).
- Low-volume breakdown often corresponds to D6 (Weak Sell or Fakeout) with potential for failure.
5.2. Absorption, Traps and Springs
Absorption at Resistance (Top-side conflict)
S1 or S2 with D4 (Absorption or Conflict)
Bias: Conflict – Extreme Tension
Signal:
- Heavy two-way trade near resistance.
- Potential distribution or reversal if sellers begin to dominate.
Bull Trap or Failed Auction
Typically S1 with D6 (Weak Sell breakdown behavior after a top-side attempt)
Indicates a breakout attempt that fails and reverses, often after poor liquidity structure.
Absorption at Support and Bear Trap (Spring)
S4 or S5 with D4 or D3
Bias: Conflict or Weak Bear – Reversal Risk
Signal:
- Aggressive buying into lows (spring or shakeout behavior).
- Potential bear trap if price reclaims lost territory.
5.3. Trend Phases
Strong Uptrend Phases
Typically seen when S2–S3 combine with strong bullish kinetic behavior.
Bias: Strong or Extreme Bull
Signal:
- Pullbacks into S3 or S4 with supportive kinetic states often act as trend continuation zones.
Strong Downtrend Phases
Typically seen when S3–S4 combine with strong bearish kinetic behavior.
Bias: Strong or Extreme Bear
Signal:
- Rallies into resistance with strong bearish kinetic backing may act as continuation sell zones.
5.4. Neutral, Exhaustion and Squeeze
Exhaustion or Liquidity Void
S1 or S5 with D5 (Neutral kinetics)
Bias: Neutral or Exhaustion
Signal:
- Spatial extremes without kinetic confirmation.
- Often marks the end of a move, with poor follow-through.
Choppy, Low-Activity Range
S3 with D5
Bias: Neutral
Signal:
- Low volume, low conviction market.
- Typically a low-probability environment where standing aside can be logical.
Squeeze or High-Tension Zone
S3 with D4 or tightly clustered kinetic values
Bias: Conflict or High Tension
Signal:
- Hidden battle inside a volatility contraction.
- Often precedes large directionally-biased moves.
6. Dashboard Layout & Reading Guide
When Show Dashboard is enabled, BDMA displays:
1. Title and Status Line
Name of the current regime (for example: Climax Breakout, Bear Trap Spring, Mean Reversion).
2. Bias Line
Plain-language summary of directional context such as Climactic Bull, Strong Bear, Neutral, or Conflict and Reversal Risk.
3. Signal or Strategic Notes
Concise guidance focused on risk and context, not entries. For example:
- High reversal risk – aggressive traders only
- Wait for confirmation (break or rejection)
- Low probability zone – avoid taking new positions
4. Kinetic Profile (4-Factor Z-Score)
Shows the current Z-Scores for Total Volume (Activity), Buy Volume (Attack), Sell Volume (Defense), and Delta (Net Result).
5. Matrix Heatmap (5×8)
Visual representation of S-State vs. D-State with color coding:
- Bullish clusters in a green spectrum
- Bearish clusters in a red spectrum
- Conflict or exhaustion zones in yellow, amber, or neutral tones
The dashboard can be repositioned (top right, middle right, or bottom right) and its size can be adjusted (Tiny, Small, Normal, or Large) to fit different layouts.
7. Inputs & Customization
7.1. Core Parameters (Bollinger and Z-Score)
- Bollinger Length and Standard Deviation define the spatial engine.
- Z-Score Lookback (All Factors) defines how many bars are used to normalize volume and delta.
7.2. Deep Kinetic Thresholds
- Extreme Threshold defines what is considered climactic (D1 or D8).
- Significant Threshold distinguishes strong initiative vs. weak or fakeout behavior.
- Neutral Threshold is the band within which delta is treated as neutral.
These thresholds allow you to tune the sensitivity of the kinetic classification to fit different timeframes or instruments.
7.3. Calculation Method (Volume Delta)
Geometry (Approx)
- Fast, non-repainting approach based on candle geometry.
- Suitable for most users and real-time decision-making.
Intrabar (Precise)
- Uses lower-timeframe data for more precise volume delta estimation.
- Intrabar mode can repaint and requires compatible data and plan support on the platform.
- Best used for post-analysis or research, not blind automation.
7.4. Visuals and Interface
- Toggle Bollinger Bands visibility on or off.
- Switch between Dark and Light color themes.
- Configure dashboard visibility, matrix heatmap display, position, and size.
8. Multi-Language Semantic Engine (Asia and Middle East Focus)
BDMA v7.0 includes a fully integrated multi-language layer, targeting a wide geographic user base.
Supported Languages:
English, Türkçe, Русский, 简体中文, हिन्दी, العربية, فارسی, עברית
All dashboard labels, regime titles, bias descriptions, and signal texts are dynamically translated via an internal dictionary, while semantic meaning is kept consistent across languages.
This makes BDMA suitable for multi-language communities, study groups, and educational content across different regions.
However, due to the heavy computational load of the Deep Kinetic Engine and TradingView’s strict Pine Script execution limits, it was not possible to expand support to additional languages. Adding more translation layers would significantly increase memory usage and exceed runtime constraints. For this reason, the current language set represents the maximum optimized configuration achievable without compromising performance or stability.
9. Practical Usage Notes
BDMA is most powerful when used as a contextual overlay on top of market structure (HH, HL, LH, LL), higher-timeframe trend, key levels, and your own execution framework.
Recommended usage:
- Identify the current regime (Status and Bias).
- Check whether price location (S-State) and kinetic behavior (D-State) agree with your trade idea.
- Be especially cautious in climactic and absorption or conflict zones, where volatility and risk can be elevated.
Avoid treating BDMA as an automatic green equals buy, red equals sell tool.
The real edge comes from understanding where you are in the volatility or kinetic spectrum, not from forcing signals out of the matrix.
10. Limitations & Important Warnings
BDMA does not predict the future.
It organizes current and recent data into a structured context.
Volume data quality depends on the underlying symbol, exchange, and broker feed.
Forex, crypto, indices, and stocks may all behave differently.
Intrabar mode can repaint and is sensitive to lower-timeframe data availability and your plan type.
Use it with extra caution and primarily for research.
No indicator can remove the need for clear trading rules, disciplined risk management, and psychological control.
11. Disclaimer
This script is provided strictly for educational and analytical purposes.
It is not a trading system, signal service, financial product, or investment advice.
Nothing in this indicator or its description should be interpreted as a recommendation to buy or sell any asset.
Past behavior of any indicator or market pattern does not guarantee future results.
Trading and investing involve significant risk, including the risk of losing more than your initial capital in leveraged products.
You are solely responsible for your own decisions, risk management, and results.
By using this script, you acknowledge that you understand these risks and agree that the author or authors and publisher or publishers are not liable for any loss or damage arising from its use.
HL/LH Confirmation Strategy (Clean Market Structure)🚦 HL/LH Confirmation Strategy (Clean Market Structure)
This indicator is specifically designed to help traders identify a clean market structure by tracking the formation of Higher Lows (HL) and Lower Highs (LH). Rather than chasing new price extremes (new Highs or new Lows), the focus is on waiting for trend strength confirmation before considering an entry.
Key Strategy: Waiting for Trend Confirmation 💡
The core advantage of this indicator lies in its confirmation strategy:
For Uptrends (Bullish): The indicator doesn't signal just any low, but only when it detects a Higher Low (HL)—a low that is higher than the previous low. This is a crucial sign that the market has defended a level and is ready to continue moving up. This approach helps avoid chasing new lows and encourages entering trades after confirmation.
For Downtrends (Bearish): Similarly, the indicator looks for the formation of a Lower High (LH)—a high that is lower than the previous high. This suggests that buyers failed to breach the last resistance, signaling a potential continuation of the downside movement.
The indicator alternates between looking for an HL, then an LH, then an HL, visually mapping the Pivot swings and highlighting the moment of trend confirmation for potential trade entries.
Indicator Features ✨
Clear Structure Display: By drawing connecting lines between valid HL and LH points, the indicator visually maps the current market structure.
Pivot Detection: It uses an effective method for Pivot detection, with the sensitivity adjustable via the "Pivot Left" and "Pivot Right" parameters.
Custom Label Placement (Crucial Detail):
HL Label: Placed below the candle for better visual clarity of the bullish support area.
LH Label: Placed above the candle for better visual clarity of the bearish resistance area.
Customizable Colors: Full control over the background and text colors for HL and LH signals, as well as the thickness and color of the connecting lines between Pivot points.
⚙️ Input Parameters
Pivot Settings
Pivot Left / Pivot Right: Determine the number of bars to the left and right that must have lower/higher prices for a point to be declared a valid Pivot (Pivot High or Pivot Low). Increase these values to detect more significant, longer-term swings.
Signal Colors
HL Background/Text Color: Colors for the background and text of the Higher Low (HL) labels.
LH Background/Text Color: Colors for the background and text of the Lower High (LH) labels.
Line Settings
Line Color / Line Width: Allows customization of the appearance of the line connecting the detected HL and LH points.
Recommended Use
This indicator is ideal for traders practicing Price Action and strategies based on Market Structure. Use the HL signals as potential zones for long entries (buying) in an uptrend, and LH signals as zones for short entries (selling) in a downtrend, always after the point formation is confirmed.
S&P 500 Scalper Pro [Trend + MACD] 5 minfor scalping 5 min S&P on 5 min chart put SL on 20 min ma and take 2:1 risk
DAS-Style RVOLDAS RVOL compares the current 1-minute volume to the average volume of that same minute over the past 14 trading days.
Example:
Current 10:00 AM 1-minute volume = 10M
Avg 10:00 AM 1-min volume over last 14 days = 1M
→ RVOL = 10.0 (or 1000%)
So this is time-of-day specific — not just average volume across the whole day.
Daily EMA TrendThis show whether price is above or below the set DAILY EMAs that you set. Default is 200, 100, 50 & 20.
Kịch bản của tôi//@version=6
indicator(title="Relative Strength Index", shorttitle="Gấu Trọc RSI", format=format.price, precision=2, timeframe="", timeframe_gaps=true)
rsiLengthInput = input.int(14, minval=1, title="RSI Length", group="RSI Settings")
rsiSourceInput = input.source(close, "Source", group="RSI Settings")
calculateDivergence = input.bool(false, title="Calculate Divergence", group="RSI Settings", display = display.data_window, tooltip = "Calculating divergences is needed in order for divergence alerts to fire.")
change = ta.change(rsiSourceInput)
up = ta.rma(math.max(change, 0), rsiLengthInput)
down = ta.rma(-math.min(change, 0), rsiLengthInput)
rsi = down == 0 ? 100 : up == 0 ? 0 : 100 - (100 / (1 + up / down))
rsiPlot = plot(rsi, "RSI", color=#7E57C2)
rsiUpperBand1 = hline(98, "RSI Upper Band1", color=#787B86)
rsiUpperBand = hline(70, "RSI Upper Band", color=#787B86)
midline = hline(50, "RSI Middle Band", color=color.new(#787B86, 50))
rsiLowerBand = hline(30, "RSI Lower Band", color=#787B86)
rsiLowerBand2 = hline(14, "RSI Lower Band2", color=#787B86)
fill(rsiUpperBand, rsiLowerBand, color=color.rgb(126, 87, 194, 90), title="RSI Background Fill")
midLinePlot = plot(50, color = na, editable = false, display = display.none)
fill(rsiPlot, midLinePlot, 100, 70, top_color = color.new(color.green, 0), bottom_color = color.new(color.green, 100), title = "Overbought Gradient Fill")
fill(rsiPlot, midLinePlot, 30, 0, top_color = color.new(color.red, 100), bottom_color = color.new(color.red, 0), title = "Oversold Gradient Fill")
// Smoothing MA inputs
GRP = "Smoothing"
TT_BB = "Only applies when 'SMA + Bollinger Bands' is selected. Determines the distance between the SMA and the bands."
maTypeInput = input.string("SMA", "Type", options = , group = GRP, display = display.data_window)
var isBB = maTypeInput == "SMA + Bollinger Bands"
maLengthInput = input.int(14, "Length", group = GRP, display = display.data_window, active = maTypeInput != "None")
bbMultInput = input.float(2.0, "BB StdDev", minval = 0.001, maxval = 50, step = 0.5, tooltip = TT_BB, group = GRP, display = display.data_window, active = isBB)
var enableMA = maTypeInput != "None"
// Smoothing MA Calculation
ma(source, length, MAtype) =>
switch MAtype
"SMA" => ta.sma(source, length)
"SMA + Bollinger Bands" => ta.sma(source, length)
"EMA" => ta.ema(source, length)
"SMMA (RMA)" => ta.rma(source, length)
"WMA" => ta.wma(source, length)
"VWMA" => ta.vwma(source, length)
// Smoothing MA plots
smoothingMA = enableMA ? ma(rsi, maLengthInput, maTypeInput) : na
smoothingStDev = isBB ? ta.stdev(rsi, maLengthInput) * bbMultInput : na
plot(smoothingMA, "RSI-based MA", color=color.yellow, display = enableMA ? display.all : display.none, editable = enableMA)
bbUpperBand = plot(smoothingMA + smoothingStDev, title = "Upper Bollinger Band", color=color.green, display = isBB ? display.all : display.none, editable = isBB)
bbLowerBand = plot(smoothingMA - smoothingStDev, title = "Lower Bollinger Band", color=color.green, display = isBB ? display.all : display.none, editable = isBB)
fill(bbUpperBand, bbLowerBand, color= isBB ? color.new(color.green, 90) : na, title="Bollinger Bands Background Fill", display = isBB ? display.all : display.none, editable = isBB)
// Divergence
lookbackRight = 5
lookbackLeft = 5
rangeUpper = 60
rangeLower = 5
bearColor = color.red
bullColor = color.green
textColor = color.white
noneColor = color.new(color.white, 100)
_inRange(bool cond) =>
bars = ta.barssince(cond)
rangeLower <= bars and bars <= rangeUpper
plFound = false
phFound = false
bullCond = false
bearCond = false
rsiLBR = rsi
if calculateDivergence
//------------------------------------------------------------------------------
// Regular Bullish
// rsi: Higher Low
plFound := not na(ta.pivotlow(rsi, lookbackLeft, lookbackRight))
rsiHL = rsiLBR > ta.valuewhen(plFound, rsiLBR, 1) and _inRange(plFound )
// Price: Lower Low
lowLBR = low
priceLL = lowLBR < ta.valuewhen(plFound, lowLBR, 1)
bullCond := priceLL and rsiHL and plFound
//------------------------------------------------------------------------------
// Regular Bearish
// rsi: Lower High
phFound := not na(ta.pivothigh(rsi, lookbackLeft, lookbackRight))
rsiLH = rsiLBR < ta.valuewhen(phFound, rsiLBR, 1) and _inRange(phFound )
// Price: Higher High
highLBR = high
priceHH = highLBR > ta.valuewhen(phFound, highLBR, 1)
bearCond := priceHH and rsiLH and phFound
plot(
plFound ? rsiLBR : na,
offset = -lookbackRight,
title = "Regular Bullish",
linewidth = 2,
color = (bullCond ? bullColor : noneColor),
display = display.pane,
editable = calculateDivergence)
plotshape(
bullCond ? rsiLBR : na,
offset = -lookbackRight,
title = "Regular Bullish Label",
text = " Bull ",
style = shape.labelup,
location = location.absolute,
color = bullColor,
textcolor = textColor,
display = display.pane,
editable = calculateDivergence)
plot(
phFound ? rsiLBR : na,
offset = -lookbackRight,
title = "Regular Bearish",
linewidth = 2,
color = (bearCond ? bearColor : noneColor),
display = display.pane,
editable = calculateDivergence)
plotshape(
bearCond ? rsiLBR : na,
offset = -lookbackRight,
title = "Regular Bearish Label",
text = " Bear ",
style = shape.labeldown,
location = location.absolute,
color = bearColor,
textcolor = textColor,
display = display.pane,
editable = calculateDivergence)
alertcondition(bullCond, title='Regular Bullish Divergence', message="Found a new Regular Bullish Divergence, `Pivot Lookback Right` number of bars to the left of the current bar.")
alertcondition(bearCond, title='Regular Bearish Divergence', message='Found a new Regular Bearish Divergence, `Pivot Lookback Right` number of bars to the left of the current bar.')
FPT - DCA ModelFPT - DCA Model is a simple but powerful tool to backtest a weekly “buy the dip” DCA plan with dynamic position sizing and partial profit-taking.
🔹 Core Idea
- Invest a fixed amount every week (on Friday closes)
- Buy more aggressively when price trades at a discount from its 52-week high
- Take partial profits when price stretches too far above the daily EMA50
- Track the performance of your DCA plan vs a simple buy-and-hold from the same start date
⚙ How it works
1. Weekly DCA (on Daily timeframe)
- On each Friday after the Start Date:
- Add the “Weekly contribution” to the cash pool.
- If the close is below the “Discount from 52W high” level:
→ FULL DCA: use the full weekly contribution + an extra booster from your stash (up to “Max extra stash used on dip”).
→ Marked on the chart with a small green triangle under the bar.
- Otherwise:
→ HALF DCA: invest only 50% of the weekly contribution and keep the other 50% as stash (uninvested cash).
→ Marked with a small blue triangle under the bar.
2. 52-Week High Discount Logic
- The script computes the 52-week high as the highest daily high of the last 252 trading days.
- The “discount level” is: 52W high × (1 – Discount%).
- When price is at or below this level, dips are treated as buying opportunities and the model allocates more.
3. Selling Logic (Partial Take Profit)
- When the close is above the daily EMA50 by the selected percentage:
→ Sell the given “Sell portion of qty (%)” of your current holdings.
→ Marked with a small red triangle above the bar.
- This behaves like a gradual profit-taking system: if price stays extended above EMA50, multiple partial sells can occur over time.
📊 Panel (top-right)
The panel summarizes the state of your DCA plan:
- Weeks: number of DCA weeks since Start Date
- Total deposit: total money contributed (sum of all weekly contributions)
- Shares qty: total number of shares accumulated
- Avg price: volume-weighted average entry price
- Shares value: current market value of all shares (qty × close)
- Cash: uninvested cash (including saved stash)
- Total equity: Shares value + Cash
- DCA % PnL: performance of the DCA plan vs total deposits
- Stock % since start: performance of the underlying asset since the Start Date
✅ Recommended Use
- Timeframe: Daily (the DCA engine is designed to run on daily bars and Friday closes).
- Works best on stocks, ETFs or indices where a 52-week high is a meaningful reference.
- You can tune:
- Weekly contribution
- Discount from 52W high
- Booster amount
- EMA50 extension threshold and sell portion
⚠ Notes & Disclaimer
- This script is a backtesting and educational tool. It does not place real orders.
- Past performance does not guarantee future results.
- Always combine DCA and risk management with your own research and judgment.
Built by FPT (Funded Pips Trading) for long-term, rules-based DCA planning.
Fibonacci Projection with Volume & Delta Profile (Zeiierman)█ Overview
Fibonacci Projection with Volume & Delta Profile (Zeiierman) blends classic Fibonacci swing analysis with modern volume-flow reading to create a unified, projection-based market framework. The indicator automatically detects the latest swing high and swing low, builds a complete Fibonacci structure, and then projects future extension targets with clear visual pathways.
What makes this tool unique is the integration of two volume-based systems directly into the Fibonacci structure. A Fib-aligned Volume Profile shows how bullish and bearish volume accumulated inside the swing range, while a separate Delta Profile reveals the imbalance of buy–sell pressure inside each Fibonacci interval. Together, these elements transform the standard Fibonacci tool into a multi-dimensional structural and volume-flow map.
█ How It Works
The indicator first detects the most recent swing high and swing low using the Period setting. That swing defines the Fibonacci range, from which the script draws retracement levels (0.236–0.786) and builds a forward projection path using the chosen Projection Level and a 1.272 extension.
Along this path, it draws projection lines, target boxes, and percentage labels that show how far each projected leg extends relative to the previous one.
Inside the same swing range, the script builds a Fib-based Volume Profile by splitting price into rows and assigning each bar’s volume as bullish (close > open) or bearish (close ≤ open). On top of that, it calculates a Volume Delta Profile between each pair of fib levels, showing whether buyers or sellers dominated that band and how strong that imbalance was.
█ How to Use
This tool helps traders quickly understand market structure and where the price may be heading next. The projection engine shows the most likely future targets, highlights strong or weak legs in the move, and updates automatically whenever a new swing forms. This ensures you always see the most relevant and up-to-date projection path.
The Fib Volume Profile shows where volume supported the move and where it did not. Thick bullish buckets reveal zones where buyers stepped in aggressively, often becoming retestable support. Thick bearish buckets highlight zones of resistance or rejection, particularly useful if projected levels align with prior liquidity.
The Delta Profile adds a second dimension to volume reading by showing where buy–sell pressure was truly imbalanced. A projected Fibonacci target that aligns with a strong bullish delta, for example, may suggest continuation. A projection into a band dominated by bearish delta may warn of reversal or hesitation.
█ Settings
Period – bars used to determine swing high/low
Projection Level – chosen Fib ratio for projection path
-----------------
Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
CCI Threshold HistogramSynopsis
The Custom CCI Indicator by Simon20cent enhances traditional CCI analysis with adjustable smoothing and a momentum-based histogram. The histogram highlights key thresholds, turning green above +100 and red below –100 to clearly identify strong bullish or bearish momentum. Both the CCI and smoothed CCI lines can be toggled for a cleaner view, making this tool effective for spotting momentum shifts, breakout conditions, and potential entry zones with improved clarity.
HTF Manipulation Swing Points [Pogiest]General
HTF Manipulation Swing Points plots out relevant swings on the higher timeframes selected and draws a horizontal line anchored from the extremes of the swing point. These are important levels traders can look to base entries off of. This indicator is designed to track higher timeframe swing points on a lower timeframe. It will detect a sweep (Manipulation) or a breakout/breakdown (Failure to Manipulate) based on the higher timeframe candle close.
Usage
Depending on how the higher timeframe candles engage the relevant swing points, it can assist traders on bias and direction given the higher timeframe order-flow, lower timeframe order-flow, zones, levels, etc. Manipulation of swing points can potentially signal the start of a reversal or retracement. Failure to Manipulate swing points can potentially signal continuation of the higher timeframe current trend. It is up to the trader to gauge the price action at these levels.
How the Indicator works
1. Lines (Not engaged) - Plots out line from higher timeframe swing points and extends to the right.
2. Manipulation (M) - M label will be plotted on the swing point line that has been engaged. For example, if 1 hour timeframe was selected in settings and the 1 hour swing point line is plotted on the chart, the indicator will track the first one hour candle to engage the line and wait for the 1 hour engaging candle to close before marking it out as a Manipulation label. It is deemed to be manipulation if the 1 hour candle sweeps the level and closes back into the range.
3. Failure to Manipulate (FTM) - FTM label functions the same as Manipulation in which it waits for the swing point line to be engaged in order for a label to be printed. However, if the price does not sweep the swing point, breaks through, and closes beyond the level then it would be deemed a "Failure to Manipulate".
Note: The timeframe selected in settings will match the engaging candle. For instance, if a 4 hour timeframe is selected, the next 4 hour candle that engages the swing point level will need to close before it displays a label. In addition, this indicator is designed to view on lower timeframes with higher timeframe swing points selected in Settings.
Settings
Timeframes:
1. Choose up to two timeframes for swing point levels.
2. Adjust Pivot lookback.
3. Option to change high and low line color, line style, and line width.
Timeframe Manipulation Labels:
4. Show/hide labels.
5. Option to adjust offset of labels horizontally/vertically for each high or low line.
6. Option to change label colors, label size, and text color.
Line Tags:
7. Show/hide line end tags.
8. Option to change tag size and tag color.
9. Adjust offset of tags.
Overlap Detection:
10. Adjust overlap threshold percentage.
11. Adjust label shift amount (for when labels are overlapping each other).
Alerts:
12. Option to enable/disable all alerts. Select different alerts for each timeframe (i.e. manipulate alert or failure to manipulate alert).
Risk Disclaimer
This indicator is for educational and informational purposes only and does not constitute financial advice. All trading and investment decisions remain solely the responsibility of the user.
Trading involves a high degree of risk, and past performance is not indicative of future results.
Always conduct your own research and consult with a qualified financial professional before making any trading decisions.
By using this indicator, users acknowledge they understand these risks and accept full responsibility for their trading decisions and outcomes.
