Identify high-probability market reactions in US stocks using institutional liquidity zones and statistical extremes
Add US stocks to your watchlist. Smart Money Zones mark liquidity levels. Z-Score highlights extreme conditions. Confluence creates reaction signals.
How It Works
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Track equities you want to monitor.
Smart Money Zones identify institutional liquidity levels
We mark areas where price previously created significant reactions.
Z-Score detects statistical extremes
We highlight overextended or oversold conditions.
Confluence highlights reaction zones
Alignment between structure and regime defines high-probability setups.
Smart Money Zones
Smart Money Zones represent institutional liquidity areas where price has previously reacted significantly. These zones act as potential reaction points when revisited.
What you'll see:
- • Institutional liquidity levels
- • Areas where price previously created significant reactions
- • Potential reaction points when revisited
Z-Score
Z-Score measures how far price deviates from its historical mean.
Extreme values (+/- 4σ) often indicate exhaustion conditions.
What you'll see:
- • Overextended conditions (positive extremes)
- • Oversold conditions (negative extremes)
- • Statistical deviation from historical mean
Confluence
The core edge of ZCore AI comes from combining Smart Money Zones (structure) with Z-Score extremes (timing). When both align, probability of meaningful market reaction increases.
Structure + Timing = Higher Probability
Smart Money Zones provide the structure. Z-Score provides the timing. Together they identify confluence setups.
Start identifying institutional reaction zones in US stocks
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