Automated README summary
Automatically summarized from the README on 17 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.
What it is
A Python/Streamlit system that simulates a securities analyst team with multiple AI agents to analyze stocks, select picks, monitor positions, and send alerts, targeting retail investors in mainland China's A-share market.
How it uses Jev
When configured, Jev returns typed results for final rating, confidence level, entry/take-profit/stop-loss price levels, and news sentiment. Low-confidence or failed calls automatically fall back to the DeepSeek text pipeline, so behavior is non-intrusive.
Primitives:choicescorenoul
Technique worth stealing
Use typed Jev decisions for structured fields, with automatic fallback to text-based LLM when confidence is below a threshold.
Try it
Set TYPESAFE_API_KEY and TYPESAFE_MODEL=jev-latest in .env; optionally adjust JEV_MIN_CONFIDENCE and JEV_ALERT_MIN_CONFIDENCE.
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 projectnot found in the excerpt0.03
- Shows a System One patternunclear0.58
- Describes handling uncertaintynot found in the excerpt0.03
- Reports measured numbersnot found in the excerpt0.06
- Is a runnable toolFound in material0.96
- Top-10 learning shortlist signalnot found in the excerpt0.06
- Is a replica of the modelnot found in the excerpt0.06
- Solves a common problem (0–2)score on a 0–2 scale0.98 / 2
- About JevFound in material0.87
no-judgment band (0.40–0.60)
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 17 Oct 2026.