MUNQuantSociety/MQSMaster
Nov 2025 – Nov 2025
1 Month active
Languages Used
PythonYAML
Technical Skills
API TestingAPI testingCI/CDGitHub ActionsPythonPython Development
Ayesha973
PROFILE
Ayesha973
Developed a backtesting framework for trading strategies in the MUNQuantSociety/MQSMaster repository, focusing on robust automated testing and deployment. Leveraged Python and YAML to expand API endpoint tests and implement a CI/CD pipeline using GitHub Actions, enabling secure integration of FMP API keys for financial market data validation. The work emphasized reproducible deployment configurations and automated validation, increasing test coverage and supporting faster pull request feedback. By establishing these workflows, the project improved release reliability and laid a scalable foundation for future strategy experimentation, while ensuring secure handling of sensitive credentials and maintaining high standards for code quality and maintainability.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
8Total
Bugs
0
Commits
8
Features
2
Lines of code
502
Activity Months1
Your Network
13 peopleShared Repositories
13
6lack-LMember
eagerluck.isaacMember
Kaan KeskindilMember
abhinavreddy13Member
6lack-LMember
Lodo LoroMember
Lodo LoroMember
Mohammed Abid NadeemMember
mtysacMember
Work History
November 2025
8 Commits • 2 Features
Nov 1, 2025November 2025 (2025-11) highlights for MUNQuantSociety/MQSMaster: Delivered a Backtesting Framework for Trading Strategies with expanded API endpoint tests and CI/CD YAML on main to enable automated testing and deployments. Implemented a CI/CD Pipeline for Python Projects with tests for financial market data APIs and secure FMP API key integration in GitHub Actions. These efforts increased test coverage, improved release reliability, and laid the groundwork for scalable strategy experimentation.
8 Commits • 2 Features
Nov 1, 2025November 2025 (2025-11) highlights for MUNQuantSociety/MQSMaster: Delivered a Backtesting Framework for Trading Strategies with expanded API endpoint tests and CI/CD YAML on main to enable automated testing and deployments. Implemented a CI/CD Pipeline for Python Projects with tests for financial market data APIs and secure FMP API key integration in GitHub Actions. These efforts increased test coverage, improved release reliability, and laid the groundwork for scalable strategy experimentation.
November 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability85.0%
Architecture85.0%
Performance85.0%
AI Usage25.0%
Skills & Technologies
Programming Languages
PythonYAML
Technical Skills
API TestingAPI testingCI/CDGitHub ActionsPythonPython DevelopmentUnit Testingbacktestingdata analysis
Repositories Contributed To
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