initial: alpaclaudia paper-trading bot + dashboard
Python bot (bot/alpaclaudia): alpaca-py client, wheel strategy (CSP + covered calls) plus equity trailing stops, risk gates (cash buffer, cost-basis guard, per-symbol concentration cap), SQLite state log, Typer CLI (tick/loop/status/ report/dump-state), Discord daily report, pytest suite. Next.js 14 dashboard (dashboard/): read-only — reads the bot's SQLite directly and pulls live account/positions/orders from Alpaca. KPIs, equity chart, positions, bot-intents audit table, and orders table. Dark UI with Tailwind. systemd/: user-unit templates for the polling loop and the post-close report timer. docs/STRATEGY.md: wheel mechanics, risk invariants, later candidates. Defaults to BOT_MODE=dry — nothing is submitted to Alpaca until explicitly enabled in .env. ALPACA_ENV=paper by default; flipping to live requires an explicit second guard.
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