{"repo":"l3lackcurtains/trading-ops","free":true,"listed":false,"github":"https://github.com/l3lackcurtains/trading-ops","clone":"git clone https://github.com/l3lackcurtains/trading-ops.git","description":"📈 Framework-driven trading workspace in Claude Code — one slash command scans stocks, crypto, FX, indices & commodities with structured verdicts and audit trails 🤖","language":"Python","stars":55,"topics":["ai","algorithmic-trading","claude-code","crypto","forex","stocks","technical-analysis","trading"],"license":"MIT","category":"trading","readme_excerpt":"A systematic trading workspace that runs inside Claude Code. One command scans any asset — stock, crypto, index, FX, commodity — and produces a dated, framework-aligned analysis with structured verdicts, ASCII price ladders, and trade tables. Everything saves as local Markdown: auditable, greppable, version-controlled, and yours. It is intentionally lean. The framework handles research and structured verdicts — execution, alerts, and integrations are left to you. That boundary is deliberate: your trading decisions should stay yours. The base layer works out of the box. But Claude Code is MCP-native, so the stack is open: Every integration is additive. The research framework stays the anchor; MCPs handle execution and delivery. Add as many or as few as you need. --- Demo --- What you get Structured verdicts — no prose triggers. Every scan ends with a verb ( LONG / SHORT / WAIT / SKIP / ...), an ASCII price ladder with every level marked, and a trade table with Entry / Stop / T1 / T2 / T3 / R:R / Sizing / Time-stop: Three horizons per name. Positional (weeks–months), Swing (3–15 days), Day (intraday). Different verdict per horizon — positional auto-reject is compatible with a tradeable swing. Audit trail built in. Every scan is dated and archived. Rescans delta-compare against prior snapshots ( Δ since last scan ) and classify prior triggers as fired-correct / fired-stopped / invalidated / stale . Mostly no API keys required. Nine Python scripts pre-compute data locally (Yahoo ","default_branch":null,"files":null,"tree":[],"storefront":"/r/l3lackcurtains","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/l3lackcurtains/trading-ops/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}