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StocksSignal

kingabzpro/StocksSignal

AI stock signals with Buy, Hold, Sell probabilities in terminal.

Finance & Trading0.95Runner-up: Classification & Routing
Automated README summary

Automatically summarized from the README on 13 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A terminal dashboard that analyzes up to 5 stocks using yfinance market data and Olostep news, producing color-coded BUY/HOLD/SELL decisions, probability breakdowns, and market impact for a 5-trading-day horizon. For educational and experimental use only.

How it uses Jev

Jev takes market data and recent news as state and answers a choice question (BUY/HOLD/SELL) plus a score question (market impact 1–5). The chosen signal's model-estimated preference is shown as confidence; these are not calibrated probabilities of future returns.

Primitives:choicescore

Technique worth stealing

Combine market data and news into a state for Jev to answer choice and score questions.

Try it

uv sync; set OLOSTEP_API_KEY and JEV_API_KEY in .env; uv run app. Demo: uv run app --demo

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 projectnot found in the excerpt0.35
  • Shows a System One patternnot found in the excerpt0.24
  • Describes handling uncertaintynot found in the excerpt0.04
  • Reports measured numbersnot found in the excerpt0.04
  • Is a runnable toolFound in material0.94
  • Top-10 learning shortlist signalnot found in the excerpt0.16
  • Is a replica of the modelnot found in the excerpt0.05
  • Solves a common problem (0–2)score on a 0–2 scale0.77 / 2
  • About JevFound in material0.97
Signals
Jev is core to the project0.35Shows a System One pattern0.24Describes handling uncertainty0.04Reports measured numbers0.04Is a runnable tool0.94Top-10 learning shortlist signal0.16Is a replica of the model0.0500.51Solves a common problem (0–2)0.77 / 2012

no-judgment band (0.40–0.60)

Design patterns

No pattern scored above the reporting threshold.

The Jev model and date for each judgment stage are listed above. Card written by DeepSeek V4.1 Flash from the README on 13 Oct 2026.