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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.
Ver no RedditDetalhe da pontuação
Diferenciação
Vozes da Comunidade
Citações reais de comentários do Reddit que inspiraram esta oportunidade
- “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”
Plano de Ação
Valide esta oportunidade antes de escrever código
Próximo Passo Recomendado
Construir
Sinais de demanda fortes. Há dor real e disposição a pagar — comece a construir um MVP.
Kit de Textos para Landing Page
Textos prontos para colar, baseados na linguagem real da comunidade Reddit
Título Principal
Backtest Linter & Lookahead Detector
Subtítulo
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.
Para Quem É
Para Retail algorithmic traders, quantitative researchers, and small prop shops.
Lista de Funcionalidades
✓ 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
Prova Social
“tiny lookahead mistakes can make a strategy look like magic”— Usuário do Reddit, r/r/algotrading
“dangerously good at creating strategies that look genius in backtests and completely fall apart live”— Usuário do 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”— Usuário do Reddit, r/r/algotrading
“people backtest on a feature that looks predictive on the train slice and doesnt generalize”— Usuário do Reddit, r/r/algotrading
“If I did, I'd have a dashboard to verify hallucinations.”— Usuário do Reddit, r/r/algotrading
“help me not spend two hours fighting dataframe plumbing”— Usuário do 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.'”— Usuário do Reddit, r/r/algotrading
“speedup is pretty massive once you stop spending most of your time wiring things together manually”— Usuário do Reddit, r/r/algotrading
Onde Validar
Compartilhe sua landing page no r/r/algotrading — é exatamente lá que esses pontos de dor foram descobertos.