Case study
AutoTrade.AI
ML-driven automated stock trading bot with performance tracking.
CompletedAI & Data
What it solves
Algorithmic trading tools need disciplined data pipelines, model logic, and clear performance monitoring to be practically useful.
Delivery focus
ML workflow design, data modeling, experimentation strategy, and product framing.
Solution overview
Built an ML-assisted trading bot concept with analytics, automation flow, and performance tracking for strategy evaluation.
PythonPandasScikit-learnAPIs
Project Snapshot
Automated strategy execution pipeline
Model-driven trade logic
Performance tracking for iteration
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