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Backtest Linter & Lookahead Detector
A static analysis CLI tool and GitHub Action specifically designed for pandas/numpy trading code. It scans dataframes for common 'lookahead bias' leaks and missing slippage implementations before the backtest is run.
Voir sur RedditDétail du score
Différenciation
Voix de la communauté
Citations réelles de commentaires Reddit qui ont inspiré cette opportunité
- “tiny lookahead mistakes can make a strategy look like magic”
- “dangerously good at creating strategies that look genius in backtests and completely fall apart live”
- “Lookahead leaks are the silent killer. I've seen models confidently write `df['ret'].shift(-1)` in the wrong place and produce a 4 Sharpe out of nothing”
- “people backtest on a feature that looks predictive on the train slice and doesnt generalize”
- “If I did, I'd have a dashboard to verify hallucinations.”
- “help me not spend two hours fighting dataframe plumbing”
- “The biggest value for me is less 'find me alpha' and more 'help me not spend two hours fighting dataframe plumbing.'”
- “speedup is pretty massive once you stop spending most of your time wiring things together manually”
Plan d'Action
Validez cette opportunité avant d'écrire du code
Prochaine Étape Recommandée
Construire
Signaux de demande forts. Vraie douleur et volonté de payer détectées — commencez à construire un MVP.
Kit de Textes pour Landing Page
Textes prêts à coller, basés sur le langage réel de la communauté Reddit
Titre Principal
Backtest Linter & Lookahead Detector
Sous-titre
A static analysis CLI tool and GitHub Action specifically designed for pandas/numpy trading code. It scans dataframes for common 'lookahead bias' leaks and missing slippage implementations before the backtest is run.
Pour Qui
Pour Retail algorithmic traders, quantitative researchers, and small prop shops.
Liste des Fonctionnalités
✓ Static analysis for improper `.shift(-1)` usage ✓ Detection of future-data leakage in rolling windows ✓ Automated flagging of missing transaction costs/slippage ✓ Jupyter Notebook extension integration
Preuve Sociale
“tiny lookahead mistakes can make a strategy look like magic”— Utilisateur Reddit, r/r/algotrading
“dangerously good at creating strategies that look genius in backtests and completely fall apart live”— Utilisateur Reddit, r/r/algotrading
“Lookahead leaks are the silent killer. I've seen models confidently write `df['ret'].shift(-1)` in the wrong place and produce a 4 Sharpe out of nothing”— Utilisateur Reddit, r/r/algotrading
“people backtest on a feature that looks predictive on the train slice and doesnt generalize”— Utilisateur Reddit, r/r/algotrading
“If I did, I'd have a dashboard to verify hallucinations.”— Utilisateur Reddit, r/r/algotrading
“help me not spend two hours fighting dataframe plumbing”— Utilisateur Reddit, r/r/algotrading
“The biggest value for me is less 'find me alpha' and more 'help me not spend two hours fighting dataframe plumbing.'”— Utilisateur Reddit, r/r/algotrading
“speedup is pretty massive once you stop spending most of your time wiring things together manually”— Utilisateur Reddit, r/r/algotrading
Où Valider
Partagez votre landing page sur r/r/algotrading — c'est exactement là que ces points de douleur ont été découverts.