πŸ’Ž Smart Money Scanner

What it does

Tracks institutional trading patterns (Smart Money Concepts) across all markets. Shows you where big players are positioning themselves.

What it scans for

  • Order Blocks (OB) - Zones where institutions placed large orders

  • Fair Value Gaps (FVG) - Price imbalances that tend to get filled

  • Break of Structure (BOS) - Trend continuation signals

  • Change of Character (CHoCH) - Potential trend reversals

  • Liquidity Sweeps - Stop hunt moves before reversals

How to read it

Setup Strength (0-100):

  • Shows how many SMC patterns are aligned

  • 70+ = Strong setup with multiple confirmations

  • 50-70 = Decent setup

  • Below 50 = Weak, not enough confirmation

Higher TF

Shows the 4H timeframe trend direction:

Value
Icon
Meaning

Bullish

↑

4H trend is UP β€” favor LONG

Bearish

↓

4H trend is DOWN β€” favor SHORT

Transition

⟳

Trend changing β€” wait for confirmation

Neutral

β€”

No clear direction

Zone

Price position within the range:

Zone
Color
Meaning

Discount

🟒 Blue

Price in lower 30% β€” look for LONG

Premium

πŸ”΄ Red

Price in upper 30% β€” look for SHORT

Equilibrium

βšͺ Gray

Middle of range β€” no edge


Note: Structure Analysis (4H/15M comparison) is available in the sidebar panel when you click on any asset.

Tags Explained

Tag
What It Means

OB

Order Block β€” zone where big money entered

FVG

Fair Value Gap β€” price gap that often gets filled

BOS

Break of Structure β€” trend is continuing

CHoCH

Change of Character β€” trend might be reversing

Sweep

Liquidity Sweep β€” stop losses were hunted

HTF Alignment

Higher timeframe confirms the direction

More tags = stronger signal

Quick Tips

  1. Best setups: Score 70+ with Discount zone for LONG, or Premium zone for SHORT

  2. Look for: OB + FVG + HTF Alignment together

  3. Avoid: Equilibrium zone trades and scores below 50

  4. Timeframe: Best for 4H+ swing trades, not scalping

Best for

  • Advanced traders familiar with SMC

  • Swing trading (4H+ timeframes)

  • Finding high-probability institutional setups

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