EXCEEDS logo
Exceeds
Jhonathan Abreu

PROFILE

Jhonathan Abreu

Overall Statistics

Feature vs Bugs

75%Features

Repository Contributions

114Total
Bugs
18
Commits
114
Features
54
Lines of code
160,496
Activity Months16

Work History

February 2026

2 Commits • 1 Features

Feb 1, 2026

February 2026 monthly summary for QuantConnect/Lean: Delivered real-time trade streaming and enhanced trade-order tracking, improving visibility, reliability, and operational workflow for live trading. The changes lay a robust foundation for faster daily analytics and reporting across the platform.

January 2026

6 Commits • 2 Features

Jan 1, 2026

January 2026 focused on stabilizing core Lean components, delivering market-data handling improvements, and enhancing live-results accuracy to support reliable trading decisions. Key outcomes include pricing accuracy for CNH futures, robust symbol mapping, more reliable tests, and corrected risk calculations. These efforts reduce operational risk, improve backtest fidelity, and deliver tangible business value to live trading and performance analysis.

December 2025

14 Commits • 4 Features

Dec 1, 2025

December 2025 — Lean project delivered a set of API reliability improvements, data access enhancements, and parsing/serialization features, driving stability, determinism, and richer analytics. Key business value includes more stable API interactions for downstream services, deterministic data handling for reproducible analytics, and extended statistics support with backward compatibility.

November 2025

2 Commits • 2 Features

Nov 1, 2025

Monthly work summary for 2025-11 focusing on QuantConnect/Lean features: automatic seeding of initial prices for new securities and improved securities lifecycle notifications and data reliability, with regression algorithm updates and data reliability enhancements.

October 2025

3 Commits • 2 Features

Oct 1, 2025

October 2025 focused on hardening Lean's initialization pipeline and expanding configurability for security initializers. Deliveries include cleanup of Python model constructors, proper integration and sequencing of security initializers with a user-facing warning, and a new API to chain multiple initializers. These changes reduce startup failures, improve maintainability, and enable more flexible, Python-friendly configurations for complex strategies, delivering business value through faster onboarding and more reliable backtests.

September 2025

12 Commits • 5 Features

Sep 1, 2025

September 2025 (QuantConnect/Lean): Focused on delivering performance, reliability, and observability improvements. Key features include concurrency and asynchronous order processing across multiple order types, enabling concurrency for live/paper brokerages and improved engine responsiveness; an enhanced execution model with OnOrderEvent support and algorithm context for custom execution models; and extended trade statistics to capture all related order IDs for closed trades, improving traceability. Additionally, data handling improvements refine the period history API to exclude extended-hours days and align daily data requests with non-trading days, improving accuracy for futures and contracts. Testing and reliability improvements include backtesting regression tests for asynchronous orders and test-suite performance optimizations, plus a no-op configuration fix. Overall impact: higher throughput, lower latency in order handling, better analytics, more accurate historical data, and faster, more reliable test cycles. Technologies/skills demonstrated: asynchronous programming, event-driven design, interface evolution (IExecutionModel), enhanced data API correctness, regression testing, CI reliability.

August 2025

9 Commits • 4 Features

Aug 1, 2025

August 2025 monthly summary for QuantConnect/Lean: This month focused on strengthening Python-C# interoperability, expanding market coverage, and improving developer tooling. Key outcomes include robust fixes to Python interop (GetEnumString), a reliability uplift via Pythonnet upgrades and TrySafeAs-based delegate conversions, refactors to Lean's Python data paths and AlphaModel integration, and expanded CME Futures support with new FOP currencies. Additional improvements included Python syntax tooling enhancements and updated trading calendars (CFE 2026 holidays). The work reduces integration risk, accelerates feature delivery, and broadens market coverage while improving data handling and type safety across Python and C# boundaries.

July 2025

11 Commits • 4 Features

Jul 1, 2025

QuantConnect/Lean - July 2025 monthly summary focusing on performance, reliability, and data integrity enhancements. Key work includes concurrency and asynchronous processing in the trading engine to boost throughput, a data schema upgrade for options/futures with robust retrieval (including risk Greeks), granular storage access controls for finer-grained security, and launcher stability improvements with CI/build tooling refinements. These efforts deliver lower latency, higher scalability, more robust data handling, stronger security posture, and improved maintainability.

June 2025

11 Commits • 5 Features

Jun 1, 2025

Concise monthly summary for June 2025 focusing on business value, technical achievements, and robustness across the QuantConnect Lean platform. Highlights collaboration across multiple venues, data integrity improvements, and expanded trading capabilities that collectively improve execution, risk management, and uptime.

May 2025

5 Commits • 4 Features

May 1, 2025

Concise monthly summary for QuantConnect/Lean – May 2025 Key features delivered: - ExtendedDictionary enhancements for robustness and Python interoperability: Refactors to support type parameters for keys and values, improved error handling, and an updated pythonnet package for a more robust, flexible dictionary used in data management within QuantConnect. Commits: 053c9a20c48061eb4915d5f215746e4bc67d45c3 (ExtendedDictionary improvements #8723). - Python syntax checking and code-quality improvements: Improves Python syntax checking by ignoring specific errors and mypy messages to reduce noise, plus code quality refinements across algorithms to accelerate development and improve reliability. Commits: 5f27689c5394a0227b4baa127746a2d4c92ce6b7 (Improve python syntax check #8744); 201ea1ce74926ab309c24cb6c155e5edc666f50e (More Python syntax check improvements #8758). - DAX index support for EUREX market data: Adds mapping of the DAX symbol to the EUREX market in the IndexSymbol class to enable correct processing of DAX data, broadening assets supported for strategies and analytics. Commit: 7dad4deb5ab2ef6254e2e32ffaf808cf6df67ad8 (Support DAX EUREX indices #8761). - 2025 market holidays data update: Adds 2025 equity and equity options holidays to ensure accurate market data processing for the upcoming year and to prevent data gaps or mispricing. Commit: 54e58c6302f241e61e76e82e33df09e839800663 (Add 2025 equity and equity options holidays #8799). Major bugs fixed: - No separate major defects closed this month; reliability improvements were delivered through feature work, notably improved error handling in ExtendedDictionary and reduced noise in Python syntax checking. Overall impact and accomplishments: - Strengthened data management and reliability in Lean, expanded asset coverage, and ensured accurate market data processing for 2025. These changes reduce data gaps, mispricing risk, and deployment friction, enabling faster, more reliable trading algorithm development and production deployments. Technologies/skills demonstrated: - C#/.NET generics and type parameterization, Python interoperability via pythonnet, enhanced error handling patterns, mypy/static type considerations, data modelling for market data, and asset symbol mapping for index data. Business value: - The updates deliver tangible business value by increasing robustness of data structures, simplifying quality gate processes, expanding instrument coverage for analytics, and ensuring accurate data calendars for 2025, all contributing to faster, more reliable algorithm development and safer live deployments.

April 2025

12 Commits • 4 Features

Apr 1, 2025

April 2025 focused on expanding data reliability, market coverage, and developer tooling in QuantConnect/Lean. Delivered five key items across QuantBook history access, security initialization, universe data availability, DAX/EUREX futures support, and Python typing/stub tooling. These changes enhance data correctness, trading coverage, resilience, and developer experience, enabling safer history requests, robust security state management, continuous universe chains, expanded asset classes, and improved typing workflows for algorithm authors.

March 2025

3 Commits • 2 Features

Mar 1, 2025

March 2025 monthly summary for QuantConnect/Lean: Delivered platform enhancements to trading ops and backtesting, focusing on an up-to-date IB Gateway and richer futures/futures options universes, along with data integrity improvements in consolidations.

February 2025

2 Commits • 2 Features

Feb 1, 2025

February 2025 monthly summary for QuantConnect/Lean: Delivered extensibility enhancements for the option Greek indicator framework and standardized GitHub issue templates to improve reporting and triage. These changes enhance customization capabilities, streamline issue management, and contribute to maintainability and future growth.

January 2025

12 Commits • 8 Features

Jan 1, 2025

January 2025 monthly summary for QuantConnect/Lean focusing on delivered features, fixed bugs, and overall impact. The month expanded instrument coverage, improved data resilience, and enhanced configurability while strengthening testing and reliability for both live and backtesting environments.

December 2024

4 Commits • 2 Features

Dec 1, 2024

December 2024: Lean repository delivered durable data handling improvements, reliability enhancements for live trading data, and enhanced Greek metrics. Focused on QuantConnect/Lean to improve data integrity, performance, and test coverage across live and historical data pathways.

November 2024

6 Commits • 3 Features

Nov 1, 2024

November 2024 performance summary for QuantConnect/Lean focusing on reliability, data quality, and cross-language interoperability. Key features included improved index options handling for 0DTE/index options with backward compatibility and time-zone alignment, delisting processing for internal subscriptions to safely liquidate and mark delisted contracts, and universe data frames normalization with a flatten option (including API refactors and pythonnet updates). Notable fixes addressed data integrity and correctness: reverting the Stochastic warming-up fix due to regression risk and tightening lower-resolution fill-forwarded daily bars with strict end times for consistency and accuracy. These changes collectively enhance trading safety, analytics accuracy, and overall platform reliability for internal and external users.

Activity

Loading activity data...

Quality Metrics

Correctness90.8%
Maintainability88.8%
Architecture86.4%
Performance83.6%
AI Usage21.8%

Skills & Technologies

Programming Languages

C#C++CSVCSharpJSONJavaMarkdownPythonSQLShell

Technical Skills

API DesignAPI DevelopmentAPI IntegrationAlgorithm DevelopmentAlgorithm OptimizationAlgorithm TradingAlgorithmic TradingAsynchronous ProgrammingAttribute ProgrammingAttribute UsageBack End DevelopmentBack-end DevelopmentBackend DevelopmentBacktestingBackwards Compatibility

Repositories Contributed To

1 repo

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

QuantConnect/Lean

Nov 2024 Feb 2026
16 Months active

Languages Used

C#CSharpPythonXMLCSVJSONMarkdownYAML

Technical Skills

API DesignAlgorithm DevelopmentAlgorithmic TradingBacktestingC#Data Engineering

Generated by Exceeds AIThis report is designed for sharing and indexing