Which Historical Dataset Fits Your Strategy?
Stop guessing between 77 datasets. Answer six questions about your market, style, timeframes and history depth; the rules engine scores every dataset and returns the three best matches with the exact reasons and a suggested EA.
How the matching works
Each dataset is scored on four transparent factors: market class (40 points), history depth (25), timeframe coverage (20) and strategy-style fit (15). Hard constraints — a different asset class or a missing required timeframe — reduce or eliminate a match. The result is deterministic: the same answers always produce the same three datasets.
Forex, metals, indices, crypto or energy must match.
Years of history measured from the first and last bar.
Coverage of the timeframes your strategy needs.
Scalping needs M1/M5; ML rewards long history; swing needs H1+.
FAQ
Is this AI?
No. It is a fixed rules engine with published weights; nothing is generated or guessed.
Can it recommend an EA?
It suggests an AlgoSpecial EA that matches the dataset and style, but you can ignore it and use the data alone.
Why only three results?
To keep the decision actionable. The full 77-dataset catalog is in the Data Explorer.
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