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
An experimental single-node intraday trading bot for Indian stocks that ranks the Nifty 50 every 15 seconds and places live MIS orders through Kotak Neo or Zerodha Kite, with a terminal dashboard and SQLite audit log.
How it uses Jev
Jev acts as a two-stage ranker over Nifty-50 names: it classifies, ranks, and decides take-profit (take_profit, thesis, exit_now) from price/volume state. Code sizes each trade, places the stop, and enforces the loss halt; Jev's calibrated outputs drive entry and exit decisions.
Primitives:choicescore
Technique worth stealing
Two-stage ranking of a fixed universe with Jev, while deterministic code handles sizing, stops, and risk halts.
Try it
cp .env.example .env && pnpm install && pnpm probe && pnpm calibrate && pnpm start
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 material0.90
- Shows a System One patternFound in material0.86
- Describes handling uncertaintynot found in the excerpt0.06
- Reports measured numbersnot found in the excerpt0.06
- Is a runnable toolFound in material0.95
- Top-10 learning shortlist signalnot found in the excerpt0.37
- Is a replica of the modelnot found in the excerpt0.05
- Solves a common problem (0–2)score on a 0–2 scale0.96 / 2
- About JevFound in material0.97
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.