Metrics you can turn into rules.

Find the scanner field, understand how it is calculated, and see what the value means before you add it to a condition.

59 definitions · 4 categories · 5m, 15m, and 60m rolling windows

Global & Daily Baselines

Daily participation, relative activity, session VWAP, open interest, and baseline market quality.

12 metrics

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Correlation to BTC (1h / 24h)

Scanner field: Correlation to BTC (1h) / Correlation to BTC (24h)

Whether the coin is trading as BTC beta or on its own. A sudden drop in 1h correlation on a normally high-correlation coin is often the first sign of a coin-specific event.

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EWMA VWAP

Scanner field: EWMA VWAP

Volume-weighted average price that decays by traded volume with a ~4-hour half-life. No midnight UTC reset.

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Liquidity Score (0–100)

Scanner field: Liquidity score 0-100

A 0–100 continuity score showing how steadily the market is trading over time.

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OI Change % (5m / 15m / 60m / 120m / 240m)

Scanner field: OI Change % (5m) / OI Change % (15m) / OI Change % (60m) / OI Change % (120m) / OI Change % (240m)

How much perpetual open interest grew or shrank over five fixed windows. Five windows, from a 5-minute pulse to a four-hour structural read. BINANCE_PERPS only.

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Price vs EWMA VWAP Z-Score

Scanner field: Price vs EWMA VWAP Z-Score

Statistical rarity of the current EWMA VWAP deviation, normalized per instrument. One bar behind the live reading by design.

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Price vs Session VWAP (%)

Scanner field: Price vs Session VWAP (%)

How far the current price sits above or below the volume-weighted average execution price since midnight UTC.

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Price vs Session VWAP Z-Score

Scanner field: Price vs Session VWAP Z-Score

Shows whether price is merely above VWAP or genuinely stretched for the current UTC session.

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Today Volume Notional (UTC)

Scanner field: Today Volume in $

Total notional processed since 00:00 UTC, useful for gauging current-day participation.

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Volume Profile Metrics

Previous complete UTC-day levels that locate price against POC, HVN, LVN, VAH, and VAL.

8 metrics

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Cross-Timeframe Metrics

Comparisons between rolling windows that expose short-term divergence and persistence.

3 metrics

Rolling Window Metrics

Metrics calculated continuously across 5m, 15m, and 60m rolling windows.

36 metrics

Participation & intensity

Volume participation, statistical deviation, and the relationship between volume and trade count.

6 metrics

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Order flow & imbalance

Directional taker activity, buy/sell concentration, and the balance between aggressive flows.

12 metrics

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Trade activity & size

Trade counts, average sizes, and how current execution behavior compares with its baseline.

13 metrics

Show 9 more trade activity & size metrics

Price, volatility & trend

Return, range, volatility, trend cleanliness, and price impact inside the active window.

5 metrics

Show 1 more price, volatility & trend metrics

Rolling-window methodology

Values are recalculated continuously from the most recent data inside the active window—not reset on fixed candle boundaries.

Why it matters
Sliding windows reduce artificial resets and preserve continuity when market conditions change.
How to read it
The 5m, 15m, and 60m settings change the temporal lens while the underlying metric definition stays consistent.

Frequently paired metrics

Start with these definitions when building rules around participation, volume acceleration, and price location against VWAP.