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jev_stock

An experimental JEV-powered framework for forecasting short-term stock price direction from structured market data.

16 ★ on GitHub

What it is

This repository is an experiment in forecasting the next Hong Kong stock-market direction with TypeSafe JEV. You enter a Hong Kong stock code, the program downloads market data, builds a past-only state, asks JEV for a structured up / flat / down forecast, validates the response, and can render a standalone HTML report.

Getting started

From the README:

python -m venv .venv
.\.venv\Scripts\python.exe -m pip install -r requirements.txt

Where the decision sits

jev_stock calls the hosted decision API rather than running its own weights. That keeps the project small and means its behaviour moves whenever the vendor ships a new model version. It also means an API key and a network round trip sit in the path of every decision.

Models it references: Jev.

How active it is

Created 2026-09-17, last pushed 2026-09-17, 16 stars and 5 forks when we read it on 2026-11-02. Everything in this category is weeks old at most, so a stale push date means something different here than it would on a mature project. Check the repository before you depend on it.

Find out what your data actually supports

We turn your historical decisions into a frozen test set, then tell you which model, which threshold, and how much of it you can safely automate.