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On every wakeup, load what happened before (journals, pending orders, EOD/self summaries, premarket snapshot).
Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.
Baseado na classificação ocupacional SOC
| name | wakeup-review |
| description | On every wakeup, load what happened before (journals, pending orders, EOD/self summaries, premarket snapshot). |
| metadata | {"openclaw":{"emoji":"⏪","requires":{"bins":["python3"]}}} |
Run first on each new wakeup/session:
python3 ${OPENCLAW_HOME:-$HOME/.openclaw}/tools/risk/wakeup_review.py
Reads continuity inputs:
trading/journal/today.md and yesterdaytrading/orders/pending/trading/learning/eod-summary.mdtrading/learning/latest-summary.mdtrading/research/premarket-latest.mdOutputs:
trading/learning/wakeup-brief.mdtrading/learning/wakeup-brief.jsonMust be executed before any new trade planning.
Also load before planning the session:
knowledge/wiki-highlights/PSYCHOLOGY.md — check for active tilt
triggers or open circuit-breaker windows from yesterday.knowledge/wiki-highlights/PROCESS.md — confirm regime permissions
for today's setups before scanning.knowledge/wiki-highlights/MUNGER.md — scan the 12 starred
trading-relevant tendencies as a pre-session checklist. For each
one, ask in one sentence: "Is this active in me right now?" The
ones that fire most often pre-session are #5 Inconsistency-
Avoidance (yesterday's bias carrying over), #11 Pain-Avoiding
Denial (refusing to mark a still-open loser to its real loss),
#13 Overoptimism (yesterday's win bleeding into today's sizing),
and #15 Social-Proof (overnight headlines = crowd consensus).
If any of these are firing, flag in the wakeup brief and reduce
size for the first hour.End-of-day and rolling review of trade outcomes to improve rules and skills.
Learn from executed trades and research notes to improve future decisions.
One-command defensive stop management for breakeven and profit protection on Alpaca.
Build premarket cross-market context (indices, commodities, rates, FX, crypto) before US open.
Load compact trading highlights as default context for any trade decision.
Run virattt/ai-hedge-fund for multi-agent analysis and convert output into a risk-defined plan.