numerai-signals-pipeline
Unverified ML strategy on Multi by sturlese. BotFinder score 18 out of 100.
Downloads data from Yahoo Finance, generates features, trains a model and submits the predictions to the tournament.
Source: github
BotFinder analysis pending.
numerai-signals-pipeline
Numerai Signals Pipeline Build your own technical-analysis features from Yahoo Finance data and submit them to the Numerai Signals tournament. The pipeline downloads price/volume data from Yahoo Finance, builds a large set of custom technical-analysis features (indicators → lags → per-era normalisation), joins them to Numerai's official targets, trains an XGBoost model and produces a valid tournament submission. What is Numerai Signals? Numerai runs a hedge fund driven by a crowd-sourced meta-model. In Signals you map stock-market data to a per-ticker signal — a number strictly between 0 and 1 — over the global equity universe. Numerai neutralises your signal against its own risk factors, scores the residual alpha, and pays or burns your stake based on live performance. A submission is just: for each ticker in the current round's universe, a signal in (0, 1). Quickstart Requires Python ≥ 3.10. props.json holds your Numerai credentials — keep it out of git: Useful flags: --root (data dir, default data), --jobs (parallel processes for indicator computation), --device (cuda by default,
⚠ No verified equity curve — no track-record source connected.
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Verification ledger
How the score has moved
Recalculated at each data collection. Transparency means showing the bad weeks too.
No score history is stored yet — only the current score is shown.
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Alerts on changes: coming soon
Prop-firm compatibility not provided.
Open-source maintainer on GitHub.
Data-completeness & trust index (not a profitability rating)