Coming soon

AI Strategy Replay

Test the discretionary strategy you can describe but cannot easily reduce to code. AlgoVistra will filter the historical path first, then use AI only on qualified candles.

Explore the full workflow Read the guide

Designed for the first release

Exact date range with candle-count limits
5m, 15m, 1h, and 4h execution timeframes
Required and score-based filters
One open simulated trade at a time
Background progress and replay history

Describe

Strategy, market, date range, execution timeframe, and holding limit.

Filter

Required conditions plus an equal-weight confluence score.

Verify

Candidate count, skipped candles, failures, and estimated AI usage.

Replay

Queued AI evaluation with progress, trades, and decision logs.

Replay results are historical research, not financial advice or live execution. Initial results will be gross and will not include spread, slippage, commission, fees, or swap.