Algorithmic trading2025YankzFX
Multi-strategy forex trading system — ML signals, adaptive risk controls, and a web dashboard
A self-hosted algorithmic trading platform combining rules-based and machine-learning signals, broker execution, backtesting, layered risk controls, operational alerts, and a web dashboard for supervised strategy management.
The problem
Manual forex trading is error-prone and sleep-dependent. The goal was a fully autonomous system that enhances rule-based signals with machine learning, enforces strict risk gates at every layer, surfaces every decision in real time, and remains configurable without touching production code.
Approach
- Broker integration supporting supervised live execution and paper-trading workflows
- Rules-based, machine-learning, and hybrid signal modes with versioned evaluation and backtesting
- Layered pre-trade and in-trade risk controls covering position sizing, exposure, adverse conditions, and loss limits
- Economic-event awareness and adaptive market filters used to avoid unsuitable execution conditions
- Replay-based testing and governed configuration changes before strategy updates reach live operation
- React dashboard for status, trade history, model review, configuration, alerts, and subscription management
Outcome
- Automated execution remains bounded by independent risk controls and operator-visible state
- Trade decisions and configuration changes are traceable without publishing proprietary thresholds or strategy internals
- Replay testing supports evidence-based strategy changes before production use
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