Cette opportunité a été créée avant le pipeline d'analyse v2. Certaines sections (Récit de la douleur, Mise sur le marché, Périmètre MVP, Pourquoi cela pourrait échouer) apparaîtront après la prochaine réanalyse.

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88score

r/algotrading

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Backtest Sanity Checker & Bias Detector

A SaaS tool that analyzes a user's trading script or trade logs to detect lookahead bias, survivorship bias, and calculate the 'Deflated Sharpe Ratio'. It acts as an independent auditor for AI-generated trading strategies before users risk real money.

Voir sur Reddit

Découvert 2 mai 2026

Détail du score

Intensité du problème9/10

Volonté de payer8/10

Facilité de réalisation4/10

Durabilité8/10

Différenciation

Solutions existantes

QuantConnectLEAN (Local)Alphanova

Notre angle

There is a lack of independent 'sanity check' tools that sit between the user's local AI-generated code and full-blown platforms like QuantConnect. Users need a tool that audits their logic for biases and tracks their 'backtest budget' to prevent overfitting.

Voix de la communauté

Citations réelles de commentaires Reddit qui ont inspiré cette opportunité

“The painful part is that fixing it properly takes longer than building the strategy in the first place.”
“Feels like you’ve found something . .. then a small detail kills it. Happens over and over.”
“I’ve also burned hours and hours on QC trying to avoid lookahead issues, corporate action problems, split/dividend handling surprises”
“The main risk at this stage is iteration turning into hidden overfitting”
“Every iteration where you look at a result, adjust something, and rerun, you're burning through a 'backtest budget.'”
“Big part is realising how easy it is to fool yourself with backtests.”

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 Sanity Checker & Bias Detector

Sous-titre

Pour Qui

Pour Retail algorithmic traders and 'vibe quants' who use LLMs to code strategies but lack deep statistical rigor.

Liste des Fonctionnalités

✓ Static code analysis to flag potential lookahead bias in Python/PineScript ✓ Trade log analyzer to detect unrealistic fills or survivorship bias symptoms ✓ 'Backtest Budget' tracker to warn users of the multiple comparisons problem (overfitting)

Preuve Sociale

“The painful part is that fixing it properly takes longer than building the strategy in the first place.”— Utilisateur Reddit, r/r/algotrading

“Feels like you’ve found something . .. then a small detail kills it. Happens over and over.”— Utilisateur Reddit, r/r/algotrading

“I’ve also burned hours and hours on QC trying to avoid lookahead issues, corporate action problems, split/dividend handling surprises”— Utilisateur Reddit, r/r/algotrading

“The main risk at this stage is iteration turning into hidden overfitting”— Utilisateur Reddit, r/r/algotrading

“Every iteration where you look at a result, adjust something, and rerun, you're burning through a 'backtest budget.'”— Utilisateur Reddit, r/r/algotrading

“Big part is realising how easy it is to fool yourself with backtests.”— 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.