nautechsystems/nautilus_trader
Jan 2025 – Apr 2026
16 Months active
Languages Used
PythonRustMakefileMarkdownSQLTOMLShellSolidity
Technical Skills
API IntegrationAccount ManagementBack-end DevelopmentBackend DevelopmentBacktestingCache Management
Filip Macek
PROFILE
Filip Macek
Over a 16-month period, contributed to nautechsystems/nautilus_trader by architecting and delivering advanced trading, analytics, and blockchain data infrastructure. Developed core systems for order matching, DEX analytics, and DeFi data pipelines, emphasizing reliability, real-time processing, and cross-chain support. Leveraged Rust and Python to implement high-performance modules for AMM pool profiling, live data streaming, and execution management, while integrating PostgreSQL for scalable persistence. Enhanced system robustness through asynchronous programming, rigorous testing, and error handling. The work enabled accurate trading simulations, robust risk controls, and actionable analytics, supporting institutional-grade workflows and extensible integration with diverse blockchain and exchange protocols.
Overall Statistics
Feature vs Bugs
79%Features
Repository Contributions
142Total
Bugs
21
Commits
142
Features
81
Lines of code
147,224
Activity Months16
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Work History
April 2026
6 Commits • 2 Features
Apr 1, 2026April 2026 performance focused on strengthening reconciliation reliability, inflight lifecycle management, and developer enablement for Nautilus Trader. Delivered critical ExecutionManager integration, robust startup handling, and Polymarket-specific timestamp fixes, while publishing practical Rust-based Polymarket arbitrage guidance. These efforts improved data integrity, reduced runtime panics, and provided a clearer path for implementing automated strategies in production.
6 Commits • 2 Features
Apr 1, 2026April 2026 performance focused on strengthening reconciliation reliability, inflight lifecycle management, and developer enablement for Nautilus Trader. Delivered critical ExecutionManager integration, robust startup handling, and Polymarket-specific timestamp fixes, while publishing practical Rust-based Polymarket arbitrage guidance. These efforts improved data integrity, reduced runtime panics, and provided a clearer path for implementing automated strategies in production.
April 2026
March 2026
13 Commits • 4 Features
Mar 1, 2026March 2026 monthly summary focused on delivering business-value features, stabilizing system architecture, and improving trading correctness across Nautilus Trader. Highlights include end-to-end Option Chains and Greeks, modular Polymarket data/exec enhancements, system-wide startup reliability improvements, and real-time instrument status updates for Bybit.
March 2026
13 Commits • 4 Features
Mar 1, 2026March 2026 monthly summary focused on delivering business-value features, stabilizing system architecture, and improving trading correctness across Nautilus Trader. Highlights include end-to-end Option Chains and Greeks, modular Polymarket data/exec enhancements, system-wide startup reliability improvements, and real-time instrument status updates for Bybit.
February 2026
6 Commits • 4 Features
Feb 1, 2026February 2026 monthly summary for nautechsystems/nautilus_trader focusing on delivering business value through cross-exchange instrument parsing improvements, real-time data pipeline enhancements, execution reliability, and API data accessibility. The work delivered enhances data accuracy, trading reliability, and platform scalability for institutional and professional traders.
6 Commits • 4 Features
Feb 1, 2026February 2026 monthly summary for nautechsystems/nautilus_trader focusing on delivering business value through cross-exchange instrument parsing improvements, real-time data pipeline enhancements, execution reliability, and API data accessibility. The work delivered enhances data accuracy, trading reliability, and platform scalability for institutional and professional traders.
February 2026
January 2026
26 Commits • 18 Features
Jan 1, 2026January 2026 (Month: 2026-01) focused on strengthening Deribit integration, stabilizing the core cache and LiveNode startup path, and hardening risk controls. The team delivered several high-impact features, closed a number of reliability bugs, and improved configurability and performance across the Deribit integration stack. The net effect is more reliable data delivery, safer order routing, and faster reconciliation, directly supporting trading accuracy and uptime for customers. Key features delivered and capabilities added: - Finish Deribit data client (commit 0bff521fbf4ba8e058d5094ed36f68a61009b5bd) - Add support for setting cache database adapter in cache and LiveNode (commit 72305189518eb39b8e85ba940c2cb3b5ea2c9c7e) - Deribit order submission implementation (commit cebad7428fc578bbb0b14990e20abfd6ee2cd28f) - Deribit live reconciliation support (commit 7217204bbb7aa7a963e0e54af4e1a1eb6559f4f2) - Deribit rate limiting for HTTP and WebSocket clients (commit 8de442f194a9d9792346b10469588c6b2288ab34) Major bugs fixed: - Fix instrument cache race condition during LiveNode startup (#3385) — c11083a3db74497779f4052a9066be9aa77b5ada - Fix OKX order rejection handling in execution client (#3399) — c137fd0e14b5df35e7a51c422ce3131f50b9a412 - Fix missing currency registration when adding instruments to cache (#3400) — 83f9c079b278356e38d7fdf27d9f75ed4cd5154b - Fix Deribit auth token refresh race condition (#3402) — 3a6f8ad9838962d3b2280ad96e64d13b5cddd830 - Fix Deribit race condition between response and subscription (#3436) — 8ed4293364b960f20f01c7babb0c669b78de687e Overall impact and accomplishments: - Improved data integrity and pricing accuracy through a completed Deribit data client and enhanced live reconciliation support. - Increased system reliability by addressing cache startup races, token refresh races, and risk engine balance checks. - Enhanced configurability and scalability with cache DB adapter support, enabling easier deployment and operational tuning. - Strengthened execution and risk workflows with API refactors and performance improvements across Deribit integration. Technologies/skills demonstrated: - Rust and Python testing approaches for risk engine validation (inverse instrument order handling). - High-performance data deserialization improvements for Deribit data paths. - Refactoring of WebSocket client and execution clients to standard patterns for maintainability. - System-level reliability work (race condition mitigation, startup ordering, token refresh sequencing).
January 2026
26 Commits • 18 Features
Jan 1, 2026January 2026 (Month: 2026-01) focused on strengthening Deribit integration, stabilizing the core cache and LiveNode startup path, and hardening risk controls. The team delivered several high-impact features, closed a number of reliability bugs, and improved configurability and performance across the Deribit integration stack. The net effect is more reliable data delivery, safer order routing, and faster reconciliation, directly supporting trading accuracy and uptime for customers. Key features delivered and capabilities added: - Finish Deribit data client (commit 0bff521fbf4ba8e058d5094ed36f68a61009b5bd) - Add support for setting cache database adapter in cache and LiveNode (commit 72305189518eb39b8e85ba940c2cb3b5ea2c9c7e) - Deribit order submission implementation (commit cebad7428fc578bbb0b14990e20abfd6ee2cd28f) - Deribit live reconciliation support (commit 7217204bbb7aa7a963e0e54af4e1a1eb6559f4f2) - Deribit rate limiting for HTTP and WebSocket clients (commit 8de442f194a9d9792346b10469588c6b2288ab34) Major bugs fixed: - Fix instrument cache race condition during LiveNode startup (#3385) — c11083a3db74497779f4052a9066be9aa77b5ada - Fix OKX order rejection handling in execution client (#3399) — c137fd0e14b5df35e7a51c422ce3131f50b9a412 - Fix missing currency registration when adding instruments to cache (#3400) — 83f9c079b278356e38d7fdf27d9f75ed4cd5154b - Fix Deribit auth token refresh race condition (#3402) — 3a6f8ad9838962d3b2280ad96e64d13b5cddd830 - Fix Deribit race condition between response and subscription (#3436) — 8ed4293364b960f20f01c7babb0c669b78de687e Overall impact and accomplishments: - Improved data integrity and pricing accuracy through a completed Deribit data client and enhanced live reconciliation support. - Increased system reliability by addressing cache startup races, token refresh races, and risk engine balance checks. - Enhanced configurability and scalability with cache DB adapter support, enabling easier deployment and operational tuning. - Strengthened execution and risk workflows with API refactors and performance improvements across Deribit integration. Technologies/skills demonstrated: - Rust and Python testing approaches for risk engine validation (inverse instrument order handling). - High-performance data deserialization improvements for Deribit data paths. - Refactoring of WebSocket client and execution clients to standard patterns for maintainability. - System-level reliability work (race condition mitigation, startup ordering, token refresh sequencing).
December 2025
5 Commits • 4 Features
Dec 1, 2025Monthly summary for 2025-12 focused on nautilus_trader development. Delivered features to unify Tokio runtime usage across adapters, enhanced Deribit data capabilities (instruments, trade ticks, WebSocket streaming) and scaffolded Deribit execution client for integration testing. Implemented instrument callback deduplication across Kraken, Deribit, and OKX adapters. Achieved improved runtime management, reliability in concurrent operations, and richer market data access with robust parsing and error handling. Test stability improvements include Delays in BitMEX submitter tests to improve synchronization.
5 Commits • 4 Features
Dec 1, 2025Monthly summary for 2025-12 focused on nautilus_trader development. Delivered features to unify Tokio runtime usage across adapters, enhanced Deribit data capabilities (instruments, trade ticks, WebSocket streaming) and scaffolded Deribit execution client for integration testing. Implemented instrument callback deduplication across Kraken, Deribit, and OKX adapters. Achieved improved runtime management, reliability in concurrent operations, and richer market data access with robust parsing and error handling. Test stability improvements include Delays in BitMEX submitter tests to improve synchronization.
December 2025
November 2025
9 Commits • 3 Features
Nov 1, 2025November 2025 monthly summary focusing on key accomplishments for the nautechsystems/nautilus_trader repository. Delivered significant analytics, reliability, and wallet/account capabilities that directly enable better decision-making, faster integration with diverse RPC providers, and expanded coverage for DeFi assets.
November 2025
9 Commits • 3 Features
Nov 1, 2025November 2025 monthly summary focusing on key accomplishments for the nautechsystems/nautilus_trader repository. Delivered significant analytics, reliability, and wallet/account capabilities that directly enable better decision-making, faster integration with diverse RPC providers, and expanded coverage for DeFi assets.
October 2025
17 Commits • 12 Features
Oct 1, 2025October 2025 focused on delivering core PoolProfiler capabilities with improved accuracy, reliability, and analytics in Nautilus Trader. Key features delivered include improved active liquidity calculation for the AMM pool profiler, unified swap simulation logic, a snapshot/analytics/PSQL schema for PoolProfiler, PoolFlash event integration into the blockchain adapter and live subscription flow, and the introduction of a liquidity utilization rate metric to quantify pool efficiency. Notable reliability improvements were achieved through targeted bug fixes on overflow in fee calculations, out-of-gas Multicall handling, and blockchain client busy-loop stability. These workstreams collectively enhance data-driven decision making, risk assessment, and scalable analytics for pool dynamics.
17 Commits • 12 Features
Oct 1, 2025October 2025 focused on delivering core PoolProfiler capabilities with improved accuracy, reliability, and analytics in Nautilus Trader. Key features delivered include improved active liquidity calculation for the AMM pool profiler, unified swap simulation logic, a snapshot/analytics/PSQL schema for PoolProfiler, PoolFlash event integration into the blockchain adapter and live subscription flow, and the introduction of a liquidity utilization rate metric to quantify pool efficiency. Notable reliability improvements were achieved through targeted bug fixes on overflow in fee calculations, out-of-gas Multicall handling, and blockchain client busy-loop stability. These workstreams collectively enhance data-driven decision making, risk assessment, and scalable analytics for pool dynamics.
October 2025
September 2025
3 Commits • 3 Features
Sep 1, 2025September 2025 monthly summary for nautilus_trader. Delivered three high-impact features across DEX data synchronization, RPC efficiency, and AMM analytics, driving data accuracy, throughput, and actionable insights for trading analytics and risk monitoring. Focused on robust data processing, scalability and developer tooling.
September 2025
3 Commits • 3 Features
Sep 1, 2025September 2025 monthly summary for nautilus_trader. Delivered three high-impact features across DEX data synchronization, RPC efficiency, and AMM analytics, driving data accuracy, throughput, and actionable insights for trading analytics and risk monitoring. Focused on robust data processing, scalability and developer tooling.
August 2025
15 Commits • 14 Features
Aug 1, 2025August 2025 highlights Nautilus Trader’s data layer and CLI performance improvements, expanding DEX coverage while strengthening data quality and reliability. Delivered real-time data via live subscriptions for the blockchain data client, accelerated synchronization with efficient block syncing and CLI pool syncing, and extended parsing for PancakeSwapV3 pools. Standardized InstrumentId chain name validation and DEX pool symbol validation to reduce data integrity issues and improve downstream signal quality. Business impact: faster time-to-value for new pools, more reliable trading signals, and improved developer productivity through clearer CLI commands (sync-dex). Technologies/skills: Rust, async streaming, high-performance CLI tooling, robust data validation, and cross-chain pool parsing (including Arbitrum ecosystems).
15 Commits • 14 Features
Aug 1, 2025August 2025 highlights Nautilus Trader’s data layer and CLI performance improvements, expanding DEX coverage while strengthening data quality and reliability. Delivered real-time data via live subscriptions for the blockchain data client, accelerated synchronization with efficient block syncing and CLI pool syncing, and extended parsing for PancakeSwapV3 pools. Standardized InstrumentId chain name validation and DEX pool symbol validation to reduce data integrity issues and improve downstream signal quality. Business impact: faster time-to-value for new pools, more reliable trading signals, and improved developer productivity through clearer CLI commands (sync-dex). Technologies/skills: Rust, async streaming, high-performance CLI tooling, robust data validation, and cross-chain pool parsing (including Arbitrum ecosystems).
August 2025
July 2025
4 Commits • 2 Features
Jul 1, 2025In July 2025, delivered substantial enhancements to nautilus_trader's blockchain data pipeline and DEX pool synchronization, focusing on data integrity, performance, and reliability. Key changes include PostgreSQL caching and optimized synchronization in the Blockchain Data Client, a refactor of DEX configuration, factory deployment block numbers for data correctness, and improved database loading, caching, error handling, and logging for DEX pool synchronization in the blockchain adapter. These improvements reduce data latency, increase resilience of data pipelines, and provide a solid foundation for scalable deployment and analytics-driven decision making.
July 2025
4 Commits • 2 Features
Jul 1, 2025In July 2025, delivered substantial enhancements to nautilus_trader's blockchain data pipeline and DEX pool synchronization, focusing on data integrity, performance, and reliability. Key changes include PostgreSQL caching and optimized synchronization in the Blockchain Data Client, a refactor of DEX configuration, factory deployment block numbers for data correctness, and improved database loading, caching, error handling, and logging for DEX pool synchronization in the blockchain adapter. These improvements reduce data latency, increase resilience of data pipelines, and provide a solid foundation for scalable deployment and analytics-driven decision making.
June 2025
2 Commits • 1 Features
Jun 1, 2025June 2025: Delivered end-to-end DEX analytics data collection across blockchains in the nautilus_trader repository, focusing on swap events and liquidity updates (mints/burns). Implemented in the blockchain adapters with dedicated syncing, caching, and persistence to enable robust business analytics and insights. This work lays the foundation for cross-chain liquidity and swap analytics, improving data completeness and decision support for product and business teams.
2 Commits • 1 Features
Jun 1, 2025June 2025: Delivered end-to-end DEX analytics data collection across blockchains in the nautilus_trader repository, focusing on swap events and liquidity updates (mints/burns). Implemented in the blockchain adapters with dedicated syncing, caching, and persistence to enable robust business analytics and insights. This work lays the foundation for cross-chain liquidity and swap analytics, improving data completeness and decision support for product and business teams.
June 2025
May 2025
2 Commits • 2 Features
May 1, 2025May 2025 monthly summary for nautechsystems/na Nautilus Trader: Focused on delivering robust live data infrastructure and expanding DeFi data coverage to support traders and analytics. The changes emphasize business value, data reliability, and scalable data pipelines.
May 2025
2 Commits • 2 Features
May 1, 2025May 2025 monthly summary for nautechsystems/na Nautilus Trader: Focused on delivering robust live data infrastructure and expanding DeFi data coverage to support traders and analytics. The changes emphasize business value, data reliability, and scalable data pipelines.
April 2025
5 Commits • 3 Features
Apr 1, 2025April 2025: Focused feature deliveries and reliability improvements in nautilus_trader, establishing a blockchain-domain foundation, improving observability, and enabling multi-network live updates. These changes provide a scalable data model, safer RPC data interchange, and faster incident response for trading workflows.
5 Commits • 3 Features
Apr 1, 2025April 2025: Focused feature deliveries and reliability improvements in nautilus_trader, establishing a blockchain-domain foundation, improving observability, and enabling multi-network live updates. These changes provide a scalable data model, safer RPC data interchange, and faster incident response for trading workflows.
April 2025
March 2025
6 Commits • 2 Features
Mar 1, 2025March 2025 monthly summary for nautechsystems/nautilus_trader. Delivered major features and backtest architecture modernization with strong business value and technical impact. Key commits included: 952e0bf90fbaea05ba9a25d2814003c29a20592e, 49f5593bd8cd6f084b9fbc42e9077b2bea5cc452, bce11a1a7a468f56d221ab4972224a6fb0d8d200, c228c5c0c9000927c7749d759b7f22c0c0c2e20f, dfd23a0af0d67a057aab72806f7e4cb9d80a43cd, 5a5b0d885b51a37bca46bf8cf4bd5a90d011b974.
March 2025
6 Commits • 2 Features
Mar 1, 2025March 2025 monthly summary for nautechsystems/nautilus_trader. Delivered major features and backtest architecture modernization with strong business value and technical impact. Key commits included: 952e0bf90fbaea05ba9a25d2814003c29a20592e, 49f5593bd8cd6f084b9fbc42e9077b2bea5cc452, bce11a1a7a468f56d221ab4972224a6fb0d8d200, c228c5c0c9000927c7749d759b7f22c0c0c2e20f, dfd23a0af0d67a057aab72806f7e4cb9d80a43cd, 5a5b0d885b51a37bca46bf8cf4bd5a90d011b974.
February 2025
7 Commits • 5 Features
Feb 1, 2025February 2025 monthly summary for nautechsystems/nautilus_trader: Implemented and ported conditional order types (market-if-touched, limit-if-touched), added market-to-limit processing, refactored trailing stop handling into unified paths for consistency, fixed critical order status logic (partial/FOK) to improve reliability, and introduced cache benchmarking tooling to quantify performance and guide future optimizations. These changes enhance order execution accuracy, routing, and maintainability while enabling measurable performance analysis.
7 Commits • 5 Features
Feb 1, 2025February 2025 monthly summary for nautechsystems/nautilus_trader: Implemented and ported conditional order types (market-if-touched, limit-if-touched), added market-to-limit processing, refactored trailing stop handling into unified paths for consistency, fixed critical order status logic (partial/FOK) to improve reliability, and introduced cache benchmarking tooling to quantify performance and guide future optimizations. These changes enhance order execution accuracy, routing, and maintainability while enabling measurable performance analysis.
February 2025
January 2025
16 Commits • 2 Features
Jan 1, 2025January 2025 monthly work summary for nautilus_trader focused on delivering end-to-end order execution capabilities, expanding simulation readiness, and strengthening stability and test coverage. The month centered on completing feature delivery in the OrderMatchingEngine, enabling realistic trading workflows in both live-like and simulated environments, while ensuring robust reliability and maintainability across the Rust stack.
January 2025
16 Commits • 2 Features
Jan 1, 2025January 2025 monthly work summary for nautilus_trader focused on delivering end-to-end order execution capabilities, expanding simulation readiness, and strengthening stability and test coverage. The month centered on completing feature delivery in the OrderMatchingEngine, enabling realistic trading workflows in both live-like and simulated environments, while ensuring robust reliability and maintainability across the Rust stack.
Activity
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Quality Metrics
Correctness90.6%
Maintainability84.8%
Architecture87.2%
Performance82.4%
AI Usage39.0%
Skills & Technologies
Programming Languages
CythonMakefileMarkdownPythonRustSQLShellSolidityTOML
Technical Skills
AMMAMM (Automated Market Maker) developmentAPI DesignAPI DevelopmentAPI IntegrationAPI developmentAPI integrationAccount ManagementAlgorithm DesignAlgorithmsAsynchronous ProgrammingAsynchronous programmingBack-end DevelopmentBackend DevelopmentBacktesting
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