inalpha
Unverified ML strategy on Multi by mirror29. BotFinder score 18 out of 100.
π¦ Open-source professional quant agent framework. Agents pick the factors working now to time entries, write full strategies, and evolve them in a sandbox β every order through m
Source: github
BotFinder analysis pending.
inalpha
Inalpha π¦ Quant agents that evolve under audit. An oracle that keeps a ledger. Factor timing Β· Multi-perspective research Β· Factor lab Β· Risk engine Β· Strategy evolution Β· Machine-approved orders Β· Omikuji English | δΈζ Every factor proposed, every strategy mutated, every order routed β logged, versioned, reviewable. Agents pick the currently-effective factors to time entries, write the strategies, and evolve them; the LLM writes the code, and the engineering harness signs every decision. Inalpha is a professional quant agent framework β an open-source system where LLM agents research (with a panel of investing legends), pick the factors that work now , write and evolve strategy code, and route every order through machine approval, all under an audit-grade engineering harness . A unified kernel (one strategy codebase β swap only the Clock and Gateway), multi-market routing (crypto, US equities, A-shares, global indices, macro), and a Claude Code-style hooks/permissions/plan-exec layer back it β built f
β No verified equity curve β no track-record source connected.
Drawdown profile
Data unavailable β contact the owner.
Verification ledger
How the score has moved
Recalculated at each data collection. Transparency means showing the bad weeks too.
No score history is stored yet β only the current score is shown.
Reviews & comments
No reviews collected from the source yet.
β No live verification account connected β ask for proof before buying.
Alerts on changes: coming soon
Prop-firm compatibility not provided.
Open-source maintainer on GitHub.
Data-completeness & trust index (not a profitability rating)