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Refactor technical indicators to return DataFrames and enhance documentation

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- Updated all technical indicators to return pandas DataFrames instead of lists, improving consistency and usability.
- Modified the `calculate` method in `TechnicalIndicators` to directly return DataFrames with relevant indicator values.
- Enhanced the `data_integration.py` to utilize the new DataFrame outputs for better integration with charting.
- Updated documentation to reflect the new DataFrame-centric approach, including usage examples and output structures.
- Improved error handling to ensure empty DataFrames are returned when insufficient data is available.

These changes streamline the indicator calculations and improve the overall architecture, aligning with project standards for maintainability and performance.
This commit is contained in:
Vasily.onl
2025-06-09 16:28:16 +08:00
parent fc3cac24bd
commit ec8f5514bb
14 changed files with 542 additions and 542 deletions
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17
tasks/MAIN-task-list.md
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@@ -183,6 +183,15 @@
- [ ] 13.8 Implement comprehensive data recovery with OKX REST API for historical backfill
- [ ] 13.9 Add gap detection and automatic data recovery during reconnections
- [ ] 13.10 Implement data integrity validation and conflict resolution for recovered data
- [ ] 13.11 **Gap-Based Trading Strategy Implementation**
- [ ] 13.11.1 Implement gap detection algorithms for various timeframes (overnight, weekend, intraday)
- [ ] 13.11.2 Create gap classification system (breakaway, exhaustion, continuation, common gaps)
- [ ] 13.11.3 Develop gap-filling probability models using historical data analysis
- [ ] 13.11.4 Implement gap-based entry/exit strategies with risk management
- [ ] 13.11.5 Add gap visualization tools in dashboard for manual analysis
- [ ] 13.11.6 Create automated gap trading bots with configurable parameters
- [ ] 13.11.7 Implement gap-based backtesting scenarios and performance metrics
- [ ] 13.11.8 Add gap alert system for real-time gap detection and notification
- [ ] 14.0 Advanced Dashboard Performance and User Experience (Future Enhancement)
- [ ] 14.1 Implement dashboard state management with browser localStorage persistence
@@ -200,6 +209,14 @@
- [ ] 14.13 Implement memory usage optimization for long-running dashboard sessions
- [ ] 14.14 Add chart export capabilities (PNG, SVG, PDF) with high-quality rendering
- [ ] 14.15 Implement dashboard mobile responsiveness and touch optimizations
- [ ] 14.16 **Advanced Gap Analysis Dashboard Features**
- [ ] 14.16.1 Create dedicated gap analysis panel with gap statistics and trends
- [ ] 14.16.2 Implement interactive gap charts showing gap size, frequency, and fill rates
- [ ] 14.16.3 Add gap pattern recognition and historical comparison tools
- [ ] 14.16.4 Create gap-based alert system with customizable thresholds
- [ ] 14.16.5 Implement gap trading performance analytics and reporting
- [ ] 14.16.6 Add gap-based strategy backtesting interface
- [ ] 14.16.7 Create gap risk assessment tools and position sizing recommendations