Automated trading system with a real-time dashboard, broker-API integration and multi-layer security. Version 3 with machine learning is planned.
PythonBroker APIRealtimeSecurity
▸bot4trade.comTrading / AI · Screenshot pending
Challenge
Discretionary trading is slow, emotional and hard to scale. The goal was a system that evaluates market data in real time, trades by rules, and is secured well enough to manage real capital.
Approach
01
Broker-API integration for real-time quotes, order execution and position tracking.
02
Rule-based strategy engine with risk limits, stop logic and full decision logging.
03
Real-time dashboard to monitor positions, P&L and system status.
04
Multi-layer security: isolated secrets, hardened servers and audit trails.
Outcome
Version 2 is currently live and trades on rules.
Version 3 with a machine-learning component is planned / in development.
Concrete performance metrics: {{TODO: real metrics, if publishable}}.
▸ Some details (metrics, timeframes) are still to be confirmed.