MUNQuantSociety/MQSMaster
Mar 2025 – Jun 2025
2 Months active
Languages Used
PythonSQL
Technical Skills
Backend DevelopmentDatabase ManagementTrading SystemsAPI IntegrationAlgorithmic TradingBacktesting
KoushikMote
PROFILE
Koushikmote
Koushik contributed to the MUNQuantSociety/MQSMaster repository by building core trading and portfolio management infrastructure over two months. He developed a positions tracking system and trade execution workflow, introducing a positions table and methods for buy, sell, and liquidate operations to support accurate P&L and inventory management. Leveraging Python and SQL, he enhanced live data reliability, modularized the backtesting framework for multi-portfolio support, and improved capital distribution logic. His work included data-quality utilities and configuration-driven strategy updates, resulting in a robust backend that enables scalable analytics, safer live trading, and more reliable quantitative finance research and portfolio management.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
10Total
Bugs
0
Commits
10
Features
4
Lines of code
4,106
Activity Months2
Your Network
13 people
Work History
June 2025
9 Commits • 3 Features
Jun 1, 2025June 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.
9 Commits • 3 Features
Jun 1, 2025June 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
March 2025
1 Commits • 1 Features
Mar 1, 2025March 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
1 Commits • 1 Features
Mar 1, 2025March 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).
Activity
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Quality Metrics
Correctness86.0%
Maintainability83.0%
Architecture85.0%
Performance76.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonSQL
Technical Skills
API IntegrationAlgorithmic TradingBackend DevelopmentBacktestingConfiguration ManagementData AnalysisData EngineeringData InfrastructureDatabase InteractionDatabase ManagementFinancial Data HandlingFinancial ModelingLive TradingLoggingObject-Oriented Design
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