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jev_stock

sosopop/jev_stock

Experimental Jev framework forecasting Hong Kong stock direction from market state.

Finance & Trading0.99Runner-up: Classification & RoutingQuestionnaireInspectionCheck-up
Automated README summary

Automatically summarized from the README on 20 Sept 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

An experimental Python framework for forecasting short-term Hong Kong stock price direction. It targets researchers who want a disciplined reasoning layer over structured market data, not a proven trading model.

How it uses Jev

Jev answers one choice question per requested trading day plus a separate 30-calendar-day endpoint question, given a past-only state of the target stock, HSI, and HSTECH. The program validates the three-class probabilities and saves JSON or an HTML report.

Primitives:choice

Technique worth stealing

Keep data retrieval, feature calculation, leakage checks, and scoring in Python; let Jev make only the classification choice.

Try it

pip install -r requirements.txt, set TYPESAFE_API_KEY in .env, then run jev_hk_predict.py predict --symbol 01810 --days 3.

View on GitHub

Start using Jev: API key and your first request →

Model judgments from README excerpts

Project signals use repository metadata, an existing summary and the first 700 README characters, not the full project. “Not found” means not detected in that material; it does not establish absence. These are the original judgments with recorded models and dates, not source audits or run results.

Models & evaluation dates

Inclusion gate
jev-1.13.0
Project signals
jev-1.13.0
Category
jev-1.13.0
Pattern tags
jev-1.13.0

Evidence

These signals use repository metadata, an existing summary and at most 700 cleaned README characters. ≥ 0.60 means reported in that excerpt; ≤ 0.40 means not found there. The middle band is inconclusive. None is a source-code audit or a test result. The runnable-tool question excludes research experiments; the recommendation question asks for a learning shortlist, not a quality verdict.

  • Jev is core to the projectFound in material0.95
  • Shows a System One patternunclear0.49
  • Describes handling uncertaintynot found in the excerpt0.06
  • Reports measured numbersnot found in the excerpt0.08
  • Is a runnable toolunclear0.53
  • Top-10 learning shortlist signalunclear0.40
  • Is a replica of the modelnot found in the excerpt0.11
  • Solves a common problem (0–2)score on a 0–2 scale0.65 / 2
  • About JevFound in material0.98
Signals
Jev is core to the project0.95Shows a System One pattern0.49Describes handling uncertainty0.06Reports measured numbers0.08Is a runnable tool0.53Top-10 learning shortlist signal0.40Is a replica of the model0.1100.51Solves a common problem (0–2)0.65 / 2012

no-judgment band (0.40–0.60)

Design patterns
Inspection0.98Check-up0.90Questionnaire0.7800.51

no-judgment band (0.40–0.60)

The Jev model and date for each judgment stage are listed above. Card written by DeepSeek V4.1 Flash from the README on 20 Sept 2026.