self-improvement

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:

• A single tendency firing repeatedly = a personal weakness to build a process antidote against. Example: if #14 Deprival Superreaction shows up on 4 of 7 losers this week, the antidote is not "try harder" but a mechanical rule that fires before you feel anything (e.g., "any position down 1.5R is closed without human intervention").
• Lollapalooza events (#25 — multiple tendencies firing on the same trade) decay slowest and damage most. Track them as their own column. Two lollapaloozas in a week is a standdown signal, even if total PnL is fine.
• Errors of omission — Munger and Buffett both stress that errors of omission (good trades you didn't take) typically dwarf errors of commission. The weekly review should explicitly list 1-3 setups you saw but did not act on, what tendency stopped you, and what would have happened. Don't double-count regret, but don't pretend the misses didn't happen either.

The output of this aggregation feeds the Stop and Test lists in the weekly Keep/Stop/Test loop. The Keep list comes from the process scorecard; the Stop and Test lists come from the bias aggregation.