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Fetch pre-range candles to warm up indicators

Prevent empty indicators or distorted signals at the start of a backtest due to insufficient startup candles.

Goal

Give the first backtest candle the history window required by the strategy.

Compute required pre-range history from startup_candle_count and the longest indicator window. [download]
Download an earlier timerange initially; for existing data, use --prepend --timerange 20210101-20220101. [download]
Use list-data --show-timerange to confirm history starts before evaluation, then rerun the baseline. [download]

Available candles predate the first evaluated signal, and results reproduce after excluding warmup.

If indicators remain empty, fetch more startup history or shorten unnecessary windows; do not mistake warmup gaps for a no-trade strategy.

Python 3.11+, Freqtrade installed, a pinned strategy, and a local user-data directory.

Use public market data and local history; treat every trading decision as research and never connect a live account.

Extra history solves warmup only; it does not remove data bias or lookahead, and recursive convergence still needs checking.

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License: GPLv3