| name | self-improvement |
| description | Learn from executed trades and research notes to improve future decisions. |
| metadata | {"openclaw":{"emoji":"📉","requires":{"bins":["python3"]}}} |
Self Improvement Loop
Run after trading sessions and at end of day:
python3 ${OPENCLAW_HOME:-$HOME/.openclaw}/tools/risk/self_improve.py
Reads journal tags:
SETUP:
RESULT: WIN/LOSS/BREAKEVEN
R_MULTIPLE:
ERROR:
Writes:
trading/learning/latest-summary.json
trading/learning/latest-summary.md
Use output to update sizing, setup selection, and process rules.
Weekly cadence: follow the Keep / Stop / Test loop in
knowledge/wiki-highlights/JOURNAL.md. Reference
knowledge/wiki-highlights/SIZING.md when reviewing R-multiple
distribution and expectancy by setup, and
knowledge/wiki-highlights/PSYCHOLOGY.md when a rule violation is
the root cause rather than the strategy.
Bias-pattern aggregation (weekly): the eod-review skill tags every
losing trade and rule violation with the Munger tendencies that fired
(see knowledge/wiki-highlights/MUNGER.md). The weekly job here is
to look at the aggregate — not which biases fired on which trade,
but which biases keep firing across trades. Specifically: