📅 2024-01-18 — Session: Debugged data feed issues in Backtrader strategies
🕒 20:30–21:05
🏷️ Labels: Backtrader, Debugging, Data Feeds, Python, Cerebro
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal:
The session aimed to troubleshoot and resolve data feed issues in Backtrader strategies, specifically focusing on the Cerebro framework and the ResidualsCSVData
class.
Key Activities:
- Troubleshooting Data Access: Explored methods to resolve data access issues within a Cerebro strategy, focusing on correct data referencing and indexing.
- Minimal Backtrader Strategy: Developed a minimal strategy to test and debug residual data loading and access.
- Expanded Diagnostics: Implemented detailed diagnostics in the
TestResidualsStrategy
class to identify data feed issues. - Debugging Techniques: Applied systematic approaches to debug data reading issues, including checking data integrity and modifying CSV readers.
- Understanding ResidualsCSVData: Clarified the structure and usage of the
ResidualsCSVData
class, focusing on its integration with financial data analysis. - Zero-Length Data Feeds: Investigated and addressed zero-length data feed issues, focusing on CSV content and data loading methods.
Achievements:
- Successfully identified and resolved several data feed issues in Backtrader strategies, enhancing data accessibility and integrity.
- Improved understanding of the
ResidualsCSVData
class and its application in financial data analysis.
Pending Tasks:
- Further testing of modified strategies to ensure robustness across different datasets.
- Continued refinement of debugging techniques for complex data feed scenarios.