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MACHINE LEARNING

AI Trading Engine

Autonomous cryptocurrency trading system that analyzes markets across multiple timeframes and executes trades 24/7 without human intervention.

24/7

Autonomous Operation

5

Timeframes Analyzed

200+

Engineered Features

<50ms

Signal Latency

THE PROBLEM

Manual crypto trading is emotionally draining, time-consuming, and impossible to scale. Most retail traders lose money because they can't process multiple timeframes and indicators simultaneously.

OUR SOLUTION

We engineered a fully autonomous system using LightGBM models trained with walk-forward optimization. It processes multi-timeframe signals, manages risk dynamically, and executes trades via WebSocket connections — all running on a loop with zero human input.

KEY FEATURES

What We Built

LightGBM Models

Gradient-boosted decision trees trained on engineered features from 1m to 1D timeframes.

Walk-Forward Optimization

Rolling train/test windows that prevent overfitting and adapt to changing market conditions.

Autonomous Execution

Real-time WebSocket feeds, signal generation, position sizing, and order execution — fully automated.

Data Pipeline

Historical and real-time OHLCV data collection, feature engineering, and model retraining pipeline.

BUILT WITH

PythonLightGBMWebSocketPostgreSQLDockerPandas

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