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Moomoo Jev Trader

A live long-only US equities dashboard that reads Moomoo OpenD quotes and one-minute candles, runs a deterministic seven-factor setup, and asks Jev every five seconds before gating simulated or live orders.

Stars
7
Language
Python
License
MIT
Published by
Community
Author
maxlibin
Last verified
Oct 2026

Live Moomoo trading dashboard with TypeSafe Jev market reviews

Forks
0
Last pushed
Updated Sep 2026

Repo stats from the GitHub API, cached Oct 2026.

Highlights

  • Runs a deterministic seven-factor setup on one-minute candles and asks Jev for a typed read every five seconds.
  • Jev returns up, sideways, and down probabilities plus entry-quality and stop-first-risk evaluations; Python owns sizing and exits.
  • Starts in shadow mode with Moomoo's SIMULATE environment; the README says no model probability proves a trading edge.
  • Works within Moomoo's roughly ten account or order queries per 30 seconds and never blindly re-sends a failed placement.
  • The dashboard shows candles, stale or closed-market detection, the decision feed, fills, daily P&L, and a kill switch.

Watch out

MIT, but explicitly experimental and not financial advice; the README tells you to start in SIMULATE and shadow mode. Live use needs a funded Moomoo account with OpenD, market-data entitlements, and a TypeSafe key, and broker failure handling is the part the README documents most.

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YouTube: Nate Herk compares speed and cost against ordinary models, then builds an X feed classifier and a paper-trading prototype.

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