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Search entry and exit parameters on development data

Generate candidate parameters on fixed history and reserve an independent period for validation.

Goal

Goal: Generate candidate parameters on fixed history and reserve an independent period for validation.

Confirm enter/exit parameters and bound the search space. [hyperopt]
Run freqtrade hyperopt --strategy MyStrategy --spaces enter exit -e 100 --timerange 20220101-20240101. [hyperopt]
Freeze candidate parameters and backtest on a later untouched range. [hyperopt]

Development and validation results are separate and the pinned search is reproducible.

Install Hyperopt extras if missing; verify spaces and keep validation data untouched.

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.

Search is resource-intensive and prone to overfitting; validate the historical optimum on a separate time range.

These values describe the upstream repository, not popularity or likes for an individual skill or playbook.

No metrics snapshot is available yet.

License: GPLv3