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Check startup history for recursive indicator convergence
Compare EMA-like values across startup lengths to find early signal drift.
Goal
Goal: Compare EMA-like values across startup lengths to find early signal drift.
Steps
- List recursive indicators and
startup_candle_count. [recursive] - Run
freqtrade recursive-analysis --strategy MyStrategy --pairs BTC/USDT. [recursive] - Choose a stable warmup from delta results and rerun the backtest. [recursive]
How to verify
Key recursive indicators converge within tolerance at the selected startup length.
Troubleshooting
Fetch earlier candles and inspect indicator logic when data/deltas are bad; do not mask with arbitrary constants.
Permissions
Prerequisites
- Python 3.11+, Freqtrade installed, a pinned strategy, and a local user-data directory.
Permissions
- Use public market data and local history; treat every trading decision as research and never connect a live account.
Limitations
Results depend on pair, timeframe, and history; repeat for each market.
Pinned upstream source
- Repository
- freqtrade/freqtrade
- File path
- docs/recursive-analysis.md
- Pinned commit
82e4c9604c51523f7e05c5a297167cf2b13a2129- Source checked
- 2026-10-14 · Reviewed against the pinned upstream source
Repository metrics
These values describe the upstream repository, not popularity or likes for an individual skill or playbook.
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License: GPLv3
Main topic
Build a reproducible crypto research workflow