Case Study
AlgoTrading Bot (Agile Team Build)
A learning-driven trading bot built iteratively with a small team, progressing from strategy foundations to deployment.
PythonTradingBacktestingAutomationDevOps
SPY Backtest View Across Devices
Problem
Manual trade execution and inconsistent strategy validation made it hard to improve systematically and scale learnings across the team.
Constraints
- Must start simple before adding ML
- Needs reliable backtesting and guardrails
- Deployment and monitoring must be practical for a small team
Solution
Adopted an Agile roadmap: build baseline strategy modules, add backtesting + reporting, then layer in automation, monitoring, and (optionally) ML enhancements.
Impact
- Made strategy iteration measurable and repeatable
- Reduced manual overhead via automation
- Created a shared system for team learning and improvement