MACHINE LEARNING
Trading AI
A machine-learning trading engine that blends three model families into one ensemble, validated walk-forward and wired to live order-flow monitoring with Telegram alerts.
Outcomes
3-model
Ensemble
Walk-forward
Validation
Live
Order Flow
Real-time
Telegram Signals
The Problem
Single-model trading systems overfit and break the moment market regimes shift. Manual monitoring can't keep up with live order flow, and signals that aren't surfaced in real time are worthless.
Our Solution
We engineered an ensemble that combines gradient-boosted trees (XGBoost), a sequence model (LSTM) and a reinforcement-learning agent (PPO), evaluated with walk-forward validation to guard against overfitting. The engine monitors live order flow and pushes actionable signals straight to Telegram.
Key Features
What We Built
Ensemble Models
XGBoost, LSTM and a PPO reinforcement-learning agent combined into a single decision ensemble.
Walk-Forward Validation
Rolling train/test windows that test the strategy the way it would actually trade, reducing overfit.
Live Order-Flow Monitoring
Real-time market and order-flow analysis feeding the engine continuously.
Telegram Signals
Generated signals delivered instantly to Telegram so decisions reach you in real time.
Built With
Buna benzer bir şey mi istiyorsun?
Trading AI gibi bir ürün konuşalım
Birkaç satırla bize projeni anlat. Kapsamını çıkarır, tahmini verir ve nasıl inşa edeceğimizi anlatırız.