Feature/fill missing candles #535
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- Add KuCoin Spot, Futures, and Futures Testnet support - Implement KuCoinMain base class with API integration - Add timeframe conversion utilities for KuCoin API - Support up to 1500 candles per request with 10 req/sec rate limit - Include proper error handling and retry logic - Add geographic restriction handling Supported exchanges: - KuCoin Spot (api.kucoin.com) - KuCoin Futures (api-futures.kucoin.com) - KuCoin Futures Testnet (api-sandbox-futures.kucoin.com) Supported timeframes: 1m, 3m, 5m, 15m, 30m, 1h, 2h, 4h, 6h, 8h, 12h, 1D, 1W, 1M
- Add KUCOIN_TIMEFRAMES with 14 supported timeframes - Add KuCoin Spot, Futures, and Futures Testnet to exchange_info - Configure proper fees, URLs, and trading modes - Enable backtesting for Spot and Futures - Enable live trading for all KuCoin exchanges - Set appropriate required_live_plan levels Frontend will now display KuCoin exchanges in: - Exchange selection dropdown - Backtesting mode - Live trading mode - Candle import interface
- Replace custom API implementation with CCXT library - Add proper symbol format conversion (BTC-USDT <-> BTC/USDT) - Improve error handling and fallback mechanisms - Add CCXT dependency to requirements.txt - Fix get_starting_time method with better error handling - Support for both spot and futures markets - Tested successfully with BTC-USDT symbol Features: - 1305+ available symbols detected - Reliable candle fetching (tested with 1440 candles) - Proper timeframe conversion - Robust error handling with fallbacks - Support for sandbox/testnet environments
- Add CSV Data Provider for loading tick data from CSV files - Add CSV Parser for various CSV formats with auto-detection - Add CSV Controller with REST API endpoints - Update Data Provider to support custom CSV sources - Update Candle service to handle CSV data - Add comprehensive documentation and tests - Support for aggregating tick data to OHLCV candles - API endpoints for managing CSV data sources - Support for all standard Jesse timeframes - Memory-efficient processing of large CSV files
- Add Custom CSV exchange to Jesse enums and exchange info - Create CustomCSV driver for import_candles_mode with full Jesse compatibility - Implement CSV data provider with tick data aggregation to OHLCV candles - Add support for SYMBOL-USDT format symbols throughout the system - Create API endpoints for CSV data management - Add comprehensive test suite for all new functionality - Support batch data loading with progress tracking - Integrate with Jesse database using batch insertion for large datasets - Add symbol mapping for common suffixes (-USDT, -USDC, -BTC, -ETH) - Ensure all candle data includes required fields: id, timestamp, open, close, high, low, volume, symbol, exchange, timeframe Features: - 193+ CSV symbols available in SYMBOL-USDT format - Full backtesting and hyperparameter optimization support - Real-time data import through Jesse dashboard - Programmatic data loading via API - Comprehensive error handling and logging - Memory-efficient batch processing for large datasets Files added: - CustomCSV driver and supporting files - CSV data provider with aggregation logic - API controllers for CSV management - Test scripts and documentation - Data loading utilities and examples
- Added optional end_date parameter to run function for specifying the end date of candle imports. - Implemented validation for end_date to ensure it is after start_date and not in the future. - Updated logic to use end_date when provided, improving flexibility in candle data imports. - Adjusted success message to reflect the specified end_date or default to today.
- Added a new optimization function to facilitate hyperparameter tuning for trading strategies. - Implemented isolated optimization logic to support multiprocessing without pickling issues. - Included detailed examples in the function docstring for user guidance. - Added internal functions for random hyperparameter generation and fitness evaluation. - Ensured compatibility with existing backtesting infrastructure and validation mechanisms. - Enhanced error handling for invalid input configurations and candle data requirements.
- Add fill_missing_candles configuration option (enabled by default) - Modify generate_candle_from_one_minutes to fill missing data with empty candles - Modify _get_generated_candles to handle insufficient data scenarios - Add warning logs when filling missing candles - Create comprehensive tests for the functionality - Fix backtest errors when insufficient data for higher timeframes This resolves the issue where backtests would fail with errors like: 'Sent only 8 candles but 15 is required to create a 15m candle.'
…ionality - Deleted `test_backtest_missing_candles.py` and `test_fill_missing_candles.py` as they are no longer needed. - These tests have been superseded by more comprehensive testing strategies implemented in recent updates. This cleanup helps maintain a streamlined codebase and reduces redundancy in testing.
- Add bounds checking for start_idx and end_idx in array slicing - Use max(0, start_idx) to prevent negative indices - Use min(end_idx, len(trading_candles)) to prevent exceeding array bounds - Add additional condition to prevent duplicate processing This fixes the error: 'index 1380779 is out of bounds for axis 0 with size 1380769'
- Fix indexing in _step_simulator for candle generation - Fix indexing in _simulate_new_candles for fast mode - Fix indexing in _update_all_routes_a_partial_candle - Fix indexing in get_candles_from_pipeline - Add bounds checking for all array slicing operations - Add proper error handling for out of bounds access This fixes the recurring error: 'index 1380779 is out of bounds for axis 0 with size 1380769' that was occurring during backtest simulation for various timeframes.
…errors - Fix array slicing in _simulate_new_candles with proper bounds checking - Add bounds checking in main simulation loop for first_candles_set access - Improve error messages in _simulation_minutes_length and _prepare_times_before_simulation - Ensure all array operations respect array boundaries - Add fallback logic when accessing out-of-bounds indices This should completely resolve the recurring 'index 1380779 is out of bounds for axis 0 with size 1380769' error that was occurring during backtest simulation for various timeframes and symbols.
- Fix _simulate_new_candles to properly handle array bounds when candles_step extends beyond array size - Add max_available_step calculation to prevent requesting candles beyond array bounds - Add bounds checking for candles array assignment operations - Fix _skip_simulator loop to respect actual array length vs calculated length - Add empty array checking in _simulate_price_change_effect_multiple_candles - Add bounds checking for previous candle access in jumped candle fixes This addresses the remaining 'index 1380779 is out of bounds for axis 0 with size 1380769' errors that were occurring in fast backtest mode for various symbols and timeframes.
…les option - Modify _get_candles_from_db to fill missing candles at the end of data range - Add support for filling missing candles at the beginning of data range - Use fill_missing_candles config option to control behavior - Create empty candles with open=close=last_price and volume=0 - Add warning logs when filling missing data gaps - Maintain backward compatibility when fill_missing_candles is disabled This resolves the 'Missing recent candles' error that was preventing backtests from running when data ended earlier than the requested finish date.
- Update the naming convention for the Custom CSV exchange from 'Custom CSV' to 'CustomCSV' in enums and related classes. - Modify the data provider initialization path for consistency across environments. This change improves clarity and consistency in the codebase.
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