QuantGenie
A platform that lets you describe a stock or futures trading strategy in plain English, then builds and backtests it against decades of historical price data before you risk real money.
🔗 Visit QuantGenieDescription
Normally, turning a trading idea into something you can actually test requires writing code — Python, specialized strategy languages, or paying someone who knows them. QuantGenie's pitch is that you just describe the idea in a sentence ("buy when the 20-day average crosses above the 50-day average and sell after a 5% gain") and it translates that into a working, rule-based trading system for you.
Under the hood, QuantGenie is a no-code, AI-powered strategy builder aimed at retail traders: natural-language input gets converted into rule-based logic, then backtested against 19 years of historical equities tick data and 11 years of futures data, with realistic fill modeling, Monte Carlo stress testing, and walk-forward validation to catch strategies that only look good in hindsight. Once a strategy is validated, the platform is designed to deploy it live to a broker account via OAuth. The important caveat is timing: QuantGenie is still pre-launch, running a waitlist with founding-member discounts (10-15% off for 12 months) ahead of a stated end-of-August-2026 launch, so there's no public pricing yet and no track record of real users trading on it.
💬 Our review
The short version: QuantGenie's backtesting depth (nearly two decades of tick data, realistic fill and stress testing) is genuinely more rigorous than most retail-facing tools, but it's pre-launch — treat every claim as unproven until real users are live on it.
Against established players like TradingView (Pine Script) or QuantConnect (Python/C#), QuantGenie's angle is removing the coding step entirely, which matters if you have a trading idea but no interest in learning a scripting language. Streak targets a similar no-code niche but with far less backtesting sophistication. The honest risk here is the usual gap between backtested and live performance — QuantGenie's own materials acknowledge this — plus the fact that undisclosed pricing and a waitlist model mean you can't yet evaluate whether it's worth the money. Worth joining the waitlist to watch how it launches; not something to plan a trading workflow around yet.
💰 Pricing
📊 Global score
🤖 AI-enriched data
Tarif de base non publié. Remise fondateur de 10-15% pendant 12 mois pour les inscrits liste d'attente. Lancement annoncé fin août 2026.
Pros
Données tick historiques sur près de 20 ans (actions et futures)
Pipeline de validation rigoureux (Monte Carlo, walk-forward, simulation de fills réalistes)
Construction de stratégie en langage naturel, sans code
Cons
Statut pré-lancement : aucun utilisateur réel, aucune preuve en conditions live
Tarification non publiée
Écart habituel entre performance backtestée et performance réelle
