MUNQuantSociety/MQSMaster
Nov 2025 – Nov 2025
1 Month active
Languages Used
Python
Technical Skills
PythonPython programmingalgorithm designalgorithm developmentalgorithmic tradingback end development
mtysac
PROFILE
Mtysac
In November 2025, Mtysabel Caballero developed foundational portfolio management capabilities for the MUNQuantSociety/MQSMaster repository, focusing on end-to-end strategy scaffolding and configuration. Using Python and leveraging skills in algorithm design and quantitative analysis, Mtysabel implemented the TrendRotateStrategy for dynamic asset allocation, integrating asset-group configuration and refining weight maintenance logic. The VolMomentum strategy was refactored to streamline implementation and enhance signal generation quality, improving overall performance. To ensure backtesting stability, Mtysabel reverted TrendRotateStrategy changes and restored the RegimeAdaptiveStrategy. The work emphasized code hygiene and maintainability, laying a robust groundwork for future strategy integrations and ongoing portfolio management enhancements.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
14Total
Bugs
1
Commits
14
Features
3
Lines of code
228,520
Activity Months1
Your Network
13 people
Work History
November 2025
14 Commits • 3 Features
Nov 1, 2025November 2025: Delivered foundational Portfolio Management Module with configuration and strategy scaffolding, enabling end-to-end portfolio management and establishing groundwork for future strategies. Implemented TrendRotateStrategy for dynamic asset allocation with initial integration and asset-group configuration, followed by refinements such as weight maintenance and removal of the dummy indicator. Refactored VolMomentum strategy to streamline implementation, improve performance, and enhance signal generation quality. Addressed backtesting stability by reverting TrendRotateStrategy changes and restoring RegimeAdaptiveStrategy to ensure consistent historical results. Improved code hygiene and maintainability through portfolio cleanup work and preparation for upcoming strategy integrations.
14 Commits • 3 Features
Nov 1, 2025November 2025: Delivered foundational Portfolio Management Module with configuration and strategy scaffolding, enabling end-to-end portfolio management and establishing groundwork for future strategies. Implemented TrendRotateStrategy for dynamic asset allocation with initial integration and asset-group configuration, followed by refinements such as weight maintenance and removal of the dummy indicator. Refactored VolMomentum strategy to streamline implementation, improve performance, and enhance signal generation quality. Addressed backtesting stability by reverting TrendRotateStrategy changes and restoring RegimeAdaptiveStrategy to ensure consistent historical results. Improved code hygiene and maintainability through portfolio cleanup work and preparation for upcoming strategy integrations.
November 2025
Activity
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Quality Metrics
Correctness78.6%
Maintainability77.2%
Architecture78.6%
Performance75.8%
AI Usage21.4%
Skills & Technologies
Programming Languages
Python
Technical Skills
PythonPython programmingalgorithm designalgorithm developmentalgorithmic tradingback end developmentbacktestingdata analysisfinancial modelingportfolio managementquantitative analysis
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