Lumiwealth/lumibot
Nov 2024 – Feb 2026
13 Months active
Languages Used
PythonSQLTextCSVShellYAMLyamlMarkdown
Technical Skills
API IntegrationAbstract Base ClassesAlgorithmic TradingBack-end DevelopmentBackend DevelopmentBacktesting
Brett Elliot
PROFILE
Brett Elliot
Brett developed core trading infrastructure and reliability features for the Lumiwealth/lumibot repository, focusing on robust data handling, precise backtesting, and resilient order execution. He engineered timezone-aware scheduling, enhanced drift rebalancer logic, and standardized quote retrieval APIs, ensuring accurate trading across global markets. Using Python, Pandas, and CI/CD pipelines, Brett implemented automated data adjustments for splits and dividends, improved test coverage for edge cases, and introduced cron-based scheduling for strategy updates. His work addressed data integrity, streamlined deployment, and reduced operational risk, demonstrating depth in backend development, algorithmic trading, and financial data engineering while supporting scalable, production-grade trading systems.
Overall Statistics
Feature vs Bugs
68%Features
Repository Contributions
409Total
Bugs
62
Commits
409
Features
130
Lines of code
810,430
Activity Months13
Work History
February 2026
2 Commits • 1 Features
Feb 1, 2026February 2026: Lumiwealth/lumibot monthly delivery focusing on time-zone aware scheduling for trading days. Implemented timezone-aware trading days index and schedule handling, aligned the index with the requested timezone, and extended get_trading_days to return timezone-aware indexes. Added tests to cover timezone scenarios to ensure correctness across regions. These changes improve trading window accuracy, reduce scheduling risk in multi-region deployments, and support scalable global operations.
2 Commits • 1 Features
Feb 1, 2026February 2026: Lumiwealth/lumibot monthly delivery focusing on time-zone aware scheduling for trading days. Implemented timezone-aware trading days index and schedule handling, aligned the index with the requested timezone, and extended get_trading_days to return timezone-aware indexes. Added tests to cover timezone scenarios to ensure correctness across regions. These changes improve trading window accuracy, reduce scheduling risk in multi-region deployments, and support scalable global operations.
February 2026
January 2026
17 Commits • 6 Features
Jan 1, 2026January 2026 Lumibot monthly summary: Focused on reliability, correctness, and observability improvements across trading, timezone handling, testing, and deployment. Delivered robust average fill price handling and propagation in the Alpaca broker, hardened to None values and multiple field names, improving accuracy of order accounting and PnL calculations. Strengthened timezone handling to support multiple tzinfo types with sensible defaults, ensuring consistent timestamp representations across scenarios. Tightened test infrastructure with centralized credential validation and gating to reduce flaky tests and speed up CI cycles. Introduced safer trading execution sleep behavior and enhanced logging to improve observability for live vs backtest runs. Made ThetaTerminal.jar optional during installation/build, reducing friction and clarifying ThetaData support messages. Updated backtest performance history data for more accurate tracking of strategy performance.
January 2026
17 Commits • 6 Features
Jan 1, 2026January 2026 Lumibot monthly summary: Focused on reliability, correctness, and observability improvements across trading, timezone handling, testing, and deployment. Delivered robust average fill price handling and propagation in the Alpaca broker, hardened to None values and multiple field names, improving accuracy of order accounting and PnL calculations. Strengthened timezone handling to support multiple tzinfo types with sensible defaults, ensuring consistent timestamp representations across scenarios. Tightened test infrastructure with centralized credential validation and gating to reduce flaky tests and speed up CI cycles. Introduced safer trading execution sleep behavior and enhanced logging to improve observability for live vs backtest runs. Made ThetaTerminal.jar optional during installation/build, reducing friction and clarifying ThetaData support messages. Updated backtest performance history data for more accurate tracking of strategy performance.
October 2025
5 Commits • 3 Features
Oct 1, 2025October 2025 monthly performance summary for Lumiwealth/lumibot focusing on drift rebalancer enhancements, timezone accuracy, and trading reliability. Completed key feature work that improves pricing accuracy, order creation, and responsiveness to market conditions, while aligning time calculations with broker settings to reduce scheduling errors and drift-related risk.
5 Commits • 3 Features
Oct 1, 2025October 2025 monthly performance summary for Lumiwealth/lumibot focusing on drift rebalancer enhancements, timezone accuracy, and trading reliability. Completed key feature work that improves pricing accuracy, order creation, and responsiveness to market conditions, while aligning time calculations with broker settings to reduce scheduling errors and drift-related risk.
October 2025
September 2025
3 Commits • 1 Features
Sep 1, 2025Month: 2025-09 — Lumiwealth/lumibot delivered end-to-end price visibility and reliability improvements that strengthen trading accuracy and operational reliability. The team introduced arrival price propagation in orders and fixed Alpaca broker average filled price handling, along with CI/CD, documentation, and configuration updates to support these changes. The work enhances data integrity for pricing, reduces reconciliation effort, and improves risk metrics for deployed strategies.
September 2025
3 Commits • 1 Features
Sep 1, 2025Month: 2025-09 — Lumiwealth/lumibot delivered end-to-end price visibility and reliability improvements that strengthen trading accuracy and operational reliability. The team introduced arrival price propagation in orders and fixed Alpaca broker average filled price handling, along with CI/CD, documentation, and configuration updates to support these changes. The work enhances data integrity for pricing, reduces reconciliation effort, and improves risk metrics for deployed strategies.
July 2025
12 Commits • 3 Features
Jul 1, 2025July 2025 performance summary for Lumiwealth Lumibot. Delivered core reliability enhancements, scheduling capabilities, and deployment/documentation improvements with a strong focus on data integrity and business value. Highlights included API standardization for quotes, robust order processing fixes, and a scalable cron-based update mechanism, all backed by improved tests and timezone handling to ensure consistent behavior across environments.
12 Commits • 3 Features
Jul 1, 2025July 2025 performance summary for Lumiwealth Lumibot. Delivered core reliability enhancements, scheduling capabilities, and deployment/documentation improvements with a strong focus on data integrity and business value. Highlights included API standardization for quotes, robust order processing fixes, and a scalable cron-based update mechanism, all backed by improved tests and timezone handling to ensure consistent behavior across environments.
July 2025
June 2025
15 Commits • 6 Features
Jun 1, 2025June 2025 LumiBot monthly summary: Focused on delivering high-value features, ensuring data accuracy, and strengthening test reliability to support scalable deployment and informed decision-making for customers. Key features delivered and business value: - Drift rebalancer enhancements with EvenOddDriftRebalancer, corrected short-position handling, improved limit price rounding, and enforcing day_time_in_force for more predictable executions, improving routing predictability and PnL accuracy. - Alpaca data auto-adjustment for splits/dividends with tests to ensure historical data accuracy, enabling backtests and analytics to reflect true corporate actions. - Data source delay configurability via DATA_SOURCE_DELAY env var with parsing, defaults, and tests, increasing operational resilience to data latency. - Market calendar integration and MARKET env var support across broker implementations with backtesting support; includes is_market_open helper and tests for reliable market-status decisions. - Data formatting improvements for numpy integer types to ensure consistent decimal precision in dashboards and reports. - Resilience testing reliability improvements, including MockDataSource enhancements and corrected resilience test expectations for trading-day calculations. Overall impact and accomplishments: - Improved execution predictability, data integrity, and test reliability, enabling safer deployments and more accurate analytics. - Reduced risk of data-latency related issues and ensured market-status decisions are robust across environments. - Strengthened engineering discipline around test coverage for edge cases (dividends, splits, and date handling). Technologies/skills demonstrated: - Python/data engineering (data adjustments, formatting, parsing env vars) - Backtesting and market calendar awareness - Testing strategy (unit, integration, resilience tests) and MockDataSource enhancements - Robust handling of financial instruments (splits/dividends) and time-in-force semantics
June 2025
15 Commits • 6 Features
Jun 1, 2025June 2025 LumiBot monthly summary: Focused on delivering high-value features, ensuring data accuracy, and strengthening test reliability to support scalable deployment and informed decision-making for customers. Key features delivered and business value: - Drift rebalancer enhancements with EvenOddDriftRebalancer, corrected short-position handling, improved limit price rounding, and enforcing day_time_in_force for more predictable executions, improving routing predictability and PnL accuracy. - Alpaca data auto-adjustment for splits/dividends with tests to ensure historical data accuracy, enabling backtests and analytics to reflect true corporate actions. - Data source delay configurability via DATA_SOURCE_DELAY env var with parsing, defaults, and tests, increasing operational resilience to data latency. - Market calendar integration and MARKET env var support across broker implementations with backtesting support; includes is_market_open helper and tests for reliable market-status decisions. - Data formatting improvements for numpy integer types to ensure consistent decimal precision in dashboards and reports. - Resilience testing reliability improvements, including MockDataSource enhancements and corrected resilience test expectations for trading-day calculations. Overall impact and accomplishments: - Improved execution predictability, data integrity, and test reliability, enabling safer deployments and more accurate analytics. - Reduced risk of data-latency related issues and ensured market-status decisions are robust across environments. - Strengthened engineering discipline around test coverage for edge cases (dividends, splits, and date handling). Technologies/skills demonstrated: - Python/data engineering (data adjustments, formatting, parsing env vars) - Backtesting and market calendar awareness - Testing strategy (unit, integration, resilience tests) and MockDataSource enhancements - Robust handling of financial instruments (splits/dividends) and time-in-force semantics
May 2025
22 Commits • 3 Features
May 1, 2025May 2025 performance summary for Lumiwealth/lumibot: Delivered core feature enhancements, improved data reliability, and codebase stabilization to support robust automated trading workflows and higher test confidence. Key features included Alpaca integration and testing improvements with GitHub-based unit tests and core quote/price utilities fixes; Yahoo API reliability and polygon handling improvements with sleep/proxy usage, test retries, and controlled xfails; and environmental stability improvements through YFinance version pinning and general test stabilization (timestep mapping fix, benchmark asset cleanup, and UI badge/coverage fixes).
22 Commits • 3 Features
May 1, 2025May 2025 performance summary for Lumiwealth/lumibot: Delivered core feature enhancements, improved data reliability, and codebase stabilization to support robust automated trading workflows and higher test confidence. Key features included Alpaca integration and testing improvements with GitHub-based unit tests and core quote/price utilities fixes; Yahoo API reliability and polygon handling improvements with sleep/proxy usage, test retries, and controlled xfails; and environmental stability improvements through YFinance version pinning and general test stabilization (timestep mapping fix, benchmark asset cleanup, and UI badge/coverage fixes).
May 2025
April 2025
32 Commits • 8 Features
Apr 1, 2025April 2025 LumiBot development focused on reliability, observability, and data integrity to support trading workflows. Key deliverables include DriftRebalancer robustness and precision enhancements with robust error handling for missing price data, support for handling fees, corrected rounding and decimals, proper input usage (limit_price vs last_price), and updated tests; logging controls that allow skipping saving stats/logs and standardization of log levels with named logger usage; plotting improvements including support for subplots in indicators, larger plot sizes, range sliders, and improved layouts, plus plot_name visibility in strategy calls and tests for indicator subplots; expanded test coverage with Yahoo integration tests and cash position checks (get_current_cash_position), plus general test additions and maintenance; and type annotations to improve clarity and static analysis. Overall, these changes improve reliability, accuracy and maintainability while delivering measurable business value like lower trading risk, better cash accounting, and enhanced operational visibility.
April 2025
32 Commits • 8 Features
Apr 1, 2025April 2025 LumiBot development focused on reliability, observability, and data integrity to support trading workflows. Key deliverables include DriftRebalancer robustness and precision enhancements with robust error handling for missing price data, support for handling fees, corrected rounding and decimals, proper input usage (limit_price vs last_price), and updated tests; logging controls that allow skipping saving stats/logs and standardization of log levels with named logger usage; plotting improvements including support for subplots in indicators, larger plot sizes, range sliders, and improved layouts, plus plot_name visibility in strategy calls and tests for indicator subplots; expanded test coverage with Yahoo integration tests and cash position checks (get_current_cash_position), plus general test additions and maintenance; and type annotations to improve clarity and static analysis. Overall, these changes improve reliability, accuracy and maintainability while delivering measurable business value like lower trading risk, better cash accounting, and enhanced operational visibility.
March 2025
169 Commits • 54 Features
Mar 1, 2025March 2025 performance highlights for Lumiwealth/lumibot: Implemented robust timezone handling and tzinfo propagation across AlpacaData, AlpacaBacktesting, and data sources, enabling accurate data retrieval and backtesting in any pytz.timezone. Modernized the backtesting stack with AlpacaBacktestingNew, migrated from the legacy system, and expanded data coverage with daily stock/crypto bars and 30-minute timesteps. Significantly increased test coverage and maintainability, with strategy tests and historical-prices tests, and improved reliability by addressing end-date exclusivity, warnings, and deprecation issues. These efforts reduce data errors, improve model fidelity, and support global customers and more frequent testing.
169 Commits • 54 Features
Mar 1, 2025March 2025 performance highlights for Lumiwealth/lumibot: Implemented robust timezone handling and tzinfo propagation across AlpacaData, AlpacaBacktesting, and data sources, enabling accurate data retrieval and backtesting in any pytz.timezone. Modernized the backtesting stack with AlpacaBacktestingNew, migrated from the legacy system, and expanded data coverage with daily stock/crypto bars and 30-minute timesteps. Significantly increased test coverage and maintainability, with strategy tests and historical-prices tests, and improved reliability by addressing end-date exclusivity, warnings, and deprecation issues. These efforts reduce data errors, improve model fidelity, and support global customers and more frequent testing.
March 2025
February 2025
49 Commits • 18 Features
Feb 1, 2025February 2025 Lumiwealth/lumibot monthly report focusing on performance, reliability, and testing improvements across backtesting modules. Delivered features include performance enhancements, time handling refinements, broader asset support, and a strengthened test suite, driving faster, more deterministic and realistic backtests for trading strategies. The work enhances business value by enabling faster iteration, more accurate simulations, and better risk assessment for clients and product teams.
February 2025
49 Commits • 18 Features
Feb 1, 2025February 2025 Lumiwealth/lumibot monthly report focusing on performance, reliability, and testing improvements across backtesting modules. Delivered features include performance enhancements, time handling refinements, broader asset support, and a strengthened test suite, driving faster, more deterministic and realistic backtests for trading strategies. The work enhances business value by enabling faster iteration, more accurate simulations, and better risk assessment for clients and product teams.
January 2025
25 Commits • 14 Features
Jan 1, 2025January 2025 performance snapshot for Lumiwealth/lumibot focused on strengthening drift rebalancer reliability and precision, expanding fractional trading capabilities, improving configuration management for easier onboarding, and broadening test coverage for data handling and external integrations. These efforts delivered safer automated rebalancing, more accurate allocations, and higher overall system resilience, enabling faster iteration and greater confidence in production trades.
25 Commits • 14 Features
Jan 1, 2025January 2025 performance snapshot for Lumiwealth/lumibot focused on strengthening drift rebalancer reliability and precision, expanding fractional trading capabilities, improving configuration management for easier onboarding, and broadening test coverage for data handling and external integrations. These efforts delivered safer automated rebalancing, more accurate allocations, and higher overall system resilience, enabling faster iteration and greater confidence in production trades.
January 2025
December 2024
15 Commits • 2 Features
Dec 1, 2024December 2024 focused on reliability and backtesting fidelity for Lumiwealth’s lumibot, with notable improvements to drift-based rebalancing and deterministic historical data workflows. The updates streamlined logging, reduced noise from crash-related logging, and hardened edge-case handling for short positions and holiday/weekend data gaps.
December 2024
15 Commits • 2 Features
Dec 1, 2024December 2024 focused on reliability and backtesting fidelity for Lumiwealth’s lumibot, with notable improvements to drift-based rebalancing and deterministic historical data workflows. The updates streamlined logging, reduced noise from crash-related logging, and hardened edge-case handling for short positions and holiday/weekend data gaps.
November 2024
43 Commits • 11 Features
Nov 1, 2024November 2024 performance summary for LumiBot (Lumiwealth/lumibot): Delivered substantial reliability and robustness improvements across data handling, trading logic, and testing, enabling more accurate automated trading and faster feature delivery. Key features delivered: - DriftRebalancer refactor into modular components with added logging; tests refactored; example adjusted to be lumibot-like. - Timezone handling and timestamped indexing improvements with tests ensuring bar indices are timestamps across Tradier and timezone variations; Alpaca tz is UTC noted. - Trading calendar support to compute start_date by length bars earlier than end_date, enabling precise historical windowing. - Introduction and integration of DriftRebalancerLogic with usage hooks and warnings for conforming orders. - Alpaca integration update and data handling improvements; various deprecated/renamed utilities clarified for readability. - Data indexing and handling fixes: localizing tradier bars index rather than converting; polygon helper adjustments for missing dates; display precision helper rename. - Test suite updates and infrastructure: removal of obsolete tests; market order tests added; pytest config enhancements; test restructuring to improve coverage and maintainability. Major bugs fixed: - Pre-market data length calculation bug: corrected bars retrieval when data requested before market open. - Data indexing bug for Tradier bars: index now localized rather than converted, improving consistency. - Drift calculation edge cases: fixes for shorting scenarios and zero current/target weights. - Conformity and robustness improvements for order submission: better parameter handling and exception capturing. - Merge conflict resolved; consolidated test scaffolding reduces flaky tests and speeds CI. Overall impact and accomplishments: - Improved data integrity, ordering robustness, and trading accuracy, reducing the risk of incorrect trades due to misaligned bars or unstable order handling. - Enhanced observability and maintainability through componentized DriftRebalancer, added logging, and clearer testing signals. - Broader testing coverage and CI stability with updated test suites and infrastructure, enabling faster iteration and safer deployments. Technologies/skills demonstrated: - Python refactoring and componentization, with logging instrumentation. - Timezone-aware data handling and timestamped indexing across Tradier/Alpaca/UTC contexts. - Trading-calendar-based date calculations and calendar-aware backtesting support. - Drift-related trading logic engineering with DriftRebalancerLogic and conforming-order warnings. - Test-driven development, pytest configuration, test restructuring, and CI-ready test infrastructure. - Versioning and maintenance across LumiWealth integrations (e.g., LumiWealth/Tradier).
43 Commits • 11 Features
Nov 1, 2024November 2024 performance summary for LumiBot (Lumiwealth/lumibot): Delivered substantial reliability and robustness improvements across data handling, trading logic, and testing, enabling more accurate automated trading and faster feature delivery. Key features delivered: - DriftRebalancer refactor into modular components with added logging; tests refactored; example adjusted to be lumibot-like. - Timezone handling and timestamped indexing improvements with tests ensuring bar indices are timestamps across Tradier and timezone variations; Alpaca tz is UTC noted. - Trading calendar support to compute start_date by length bars earlier than end_date, enabling precise historical windowing. - Introduction and integration of DriftRebalancerLogic with usage hooks and warnings for conforming orders. - Alpaca integration update and data handling improvements; various deprecated/renamed utilities clarified for readability. - Data indexing and handling fixes: localizing tradier bars index rather than converting; polygon helper adjustments for missing dates; display precision helper rename. - Test suite updates and infrastructure: removal of obsolete tests; market order tests added; pytest config enhancements; test restructuring to improve coverage and maintainability. Major bugs fixed: - Pre-market data length calculation bug: corrected bars retrieval when data requested before market open. - Data indexing bug for Tradier bars: index now localized rather than converted, improving consistency. - Drift calculation edge cases: fixes for shorting scenarios and zero current/target weights. - Conformity and robustness improvements for order submission: better parameter handling and exception capturing. - Merge conflict resolved; consolidated test scaffolding reduces flaky tests and speeds CI. Overall impact and accomplishments: - Improved data integrity, ordering robustness, and trading accuracy, reducing the risk of incorrect trades due to misaligned bars or unstable order handling. - Enhanced observability and maintainability through componentized DriftRebalancer, added logging, and clearer testing signals. - Broader testing coverage and CI stability with updated test suites and infrastructure, enabling faster iteration and safer deployments. Technologies/skills demonstrated: - Python refactoring and componentization, with logging instrumentation. - Timezone-aware data handling and timestamped indexing across Tradier/Alpaca/UTC contexts. - Trading-calendar-based date calculations and calendar-aware backtesting support. - Drift-related trading logic engineering with DriftRebalancerLogic and conforming-order warnings. - Test-driven development, pytest configuration, test restructuring, and CI-ready test infrastructure. - Versioning and maintenance across LumiWealth integrations (e.g., LumiWealth/Tradier).
November 2024
Activity
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Quality Metrics
Correctness88.6%
Maintainability87.0%
Architecture82.0%
Performance78.8%
AI Usage20.4%
Skills & Technologies
Programming Languages
CSVHTMLMarkdownPythonSQLShellTextYAMLreStructuredTextyaml
Technical Skills
API DocumentationAPI IntegrationAPI integrationAPI testingAbstract Base ClassesAlgorithmic TradingAlpaca APIAuthenticationBack-end DevelopmentBackend DevelopmentBacktestingBroker API IntegrationBroker IntegrationBrokerageBrokerage Integration
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