Automated README summary
Automatically summarized from the README on 21 Sept 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.
What it is
A Python tool for crypto traders and analysts that screens top coins by market cap using quantitative signals from CoinGecko and Bybit, and classifies news sentiment/catalyst/confirmation via Jev. It prints a table for human reading, not a trading bot.
How it uses Jev
Jev classifies each news item on three questions: sentiment (bullish/bearish), catalyst type, and confirmed-vs-rumor. In scalp.py, Jev acts as a veto: if a recent high-confidence bearish/regulatory news item exists for a symbol, the candidate is suppressed. Results are used to tag or filter candidates in the output table.
Primitives:choicescore
Technique worth stealing
Speculative fan-out: one Jev request per news item covers three questions at once.
Try it
python3 scout.py --top 30 --news (requires a Jev API key)
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 projectunclear0.58
- Shows a System One patternunclear0.52
- Describes handling uncertaintynot found in the excerpt0.07
- Reports measured numbersnot found in the excerpt0.06
- Is a runnable toolFound in material0.85
- Top-10 learning shortlist signalnot found in the excerpt0.39
- Is a replica of the modelnot found in the excerpt0.05
- Solves a common problem (0–2)score on a 0–2 scale0.98 / 2
- About JevFound in material0.98
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 21 Sept 2026.