Production algorithmic trading system for perpetual futures — multi-account, event-driven architecture with dynamic progressive grid and 10-level risk
1 project · 1 article
pandas is a Python data analysis library built on NumPy. I use it for transforming, cleaning, and aggregating tabular data in automation pipelines and financial data processing workflows.
Production algorithmic trading system for perpetual futures — multi-account, event-driven architecture with dynamic progressive grid and 10-level risk
Bybit grid trading bot in Python: event-driven architecture, ATR-based grid steps, 10-level risk management, atomic state persistence, and pytest test suite
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