
Koushik contributed to the MUNQuantSociety/MQSMaster repository by building core trading system capabilities, including positions tracking, trade execution, and a modular backtesting framework. He implemented a positions table and trade management methods in Python and SQL, enabling accurate portfolio and P&L management. His work extended to live data integration, robust execution flows, and enhancements for multi-portfolio backtesting with refined capital distribution. Koushik also developed utilities for data quality and modular portfolio management, supporting both live and simulated trading. The depth of his engineering established a scalable foundation for quantitative finance workflows, emphasizing backend development, data infrastructure, and trading systems reliability.
June 2025 performance snapshot for MQSMaster focusing on reliable live data, robust execution, and scalable backtesting infrastructure. Delivered end-to-end improvements across live data fetch, initialization and PnL handling, plus a modular backtesting framework with multi-portfolio support and refined capital distribution. Implemented portfolio management enhancements and data-quality utilities to improve strategy fidelity and data integrity. These changes enhance operational reliability, enable safer live trading, and support scalable testing for multiple portfolios.
June 2025 performance snapshot for MQSMaster focusing on reliable live data, robust execution, and scalable backtesting infrastructure. Delivered end-to-end improvements across live data fetch, initialization and PnL handling, plus a modular backtesting framework with multi-portfolio support and refined capital distribution. Implemented portfolio management enhancements and data-quality utilities to improve strategy fidelity and data integrity. These changes enhance operational reliability, enable safer live trading, and support scalable testing for multiple portfolios.
March 2025 milestone: Delivered core Trading Core capabilities in MQSMaster with positions tracking and trade execution. Implemented a positions table to track asset quantities per portfolio and ticker; added buy, sell, and liquidate methods in tradeExecutor to manage trades, update cash balances, and log execution details. This enables core trading operations, supports accurate P&L and inventory management, and establishes a foundation for scalable portfolio analytics. Changes tracked under commit bcc75f8d050be3fff84014e921c118b02d1e3894 (message: tradingOps).
March 2025 milestone: Delivered core Trading Core capabilities in MQSMaster with positions tracking and trade execution. Implemented a positions table to track asset quantities per portfolio and ticker; added buy, sell, and liquidate methods in tradeExecutor to manage trades, update cash balances, and log execution details. This enables core trading operations, supports accurate P&L and inventory management, and establishes a foundation for scalable portfolio analytics. Changes tracked under commit bcc75f8d050be3fff84014e921c118b02d1e3894 (message: tradingOps).

Overview of all repositories you've contributed to across your timeline