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Volatility Radar

Statistical volatility forecasts for major crypto pairs, forex pairs and US stocks: how big tomorrow's move is likely to be, which regime each market is in (squeeze, trending, high-vol), and whether macro events could shake things up. Built on EWMA / GARCH — the same models risk desks use — never on guesswork.

Crunching volatility models…

Daily candles, ranked by forecast next-day expected move (±1σ). Crypto reads public exchange APIs directly; forex & US stocks are served through a cached, whitelisted proxy — all with automatic provider failover.

We publish our accuracy — check it yourself

Yesterday's forecast vs what actually happened, scored every day for every symbol. No cherry-picking: every number is reproducible from public exchange data.

View track record →

Full forecast on the live chart

Open any symbol and timeframe to see its volatility forecast, squeeze status, derivatives stress and expected ranges — updated live.

Size positions to the volatility

Use the expected move to set realistic stops, then let the risk calculator size the position for you.

AI volatility read (Pro)

Pro unlocks the full forecast detail on every chart plus an AI explanation of what the numbers mean for your risk.

How the Volatility Forecast works

Volatility clusters: turbulent days tend to follow turbulent days, and calm follows calm. That makes the SIZE of future moves statistically forecastable even though their direction is not. TraderAI models each symbol's return series with EWMA (RiskMetrics λ=0.94) and a variance-targeting GARCH(1,1) to project the expected move for the next bar and the next ~24 hours, then places today's reading in the context of the symbol's own history (percentiles, Bollinger-width squeeze detection).

On crypto charts the forecast is enriched with live derivatives positioning (funding rate, open-interest change, long/short ratio — a classic pre-squeeze cocktail) and upcoming high-impact economic events, because volatility routinely expands around macro releases. Everything is computed transparently from public data with automatic provider failover — no black box.

Volatility forecasts estimate the size of likely moves, never the direction. Educational only, not financial advice.