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Estimate spread/slippage/fee friction and net expected R before execution.
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Basierend auf der SOC-Berufsklassifikation
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.
On every wakeup, load what happened before (journals, pending orders, EOD/self summaries, premarket snapshot).
Build premarket cross-market context (indices, commodities, rates, FX, crypto) before US open.
Load compact trading highlights as default context for any trade decision.
| name | execution-cost |
| description | Estimate spread/slippage/fee friction and net expected R before execution. |
| metadata | {"openclaw":{"emoji":"🧾","requires":{"env":["APCA_API_KEY_ID","APCA_API_SECRET_KEY"],"bins":["python3"]}}} |
CLI:
python3 ${OPENCLAW_HOME:-$HOME/.openclaw}/tools/execution/cost.py --symbol AAPL --side buy --qty 10 --stop 180 --target 190
Output includes:
Trade only when net expected R remains acceptable.
