AI Signal Engine
Modular strategy engine with ML-powered confidence scoring, backtesting capabilities, and real-time risk controls.
AI Signal Engine
Modular strategy engine with ML-powered confidence scoring, backtesting capabilities, and real-time risk controls.
Client
AlphaQuant LabsDate
May 2024Services
Machine LearningBudget
$90,000+Technology
Pythonsscikit-learn
FastAPI
PostgreSQL
Redis
DockerThe Challenge
A reliable engine was needed to generate trading signals with measurable confidence levels, proper risk discipline, and the ability to backtest strategies against historical data.
Our Solution
We built a modular strategy framework with ML-powered confidence scoring, configurable cooldown logic, comprehensive backtesting, and real-time outcome tracking with automated risk adjustments.
Key Results
What We Achieved
ML-powered confidence scoring
Historical backtesting with visualization
Configurable cooldown and risk rules
Real-time performance tracking dashboard
Screenshots
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