- Cleaned up whitespace and formatting in various files including http.py, language.py, logger.py, safe_exec.py, and SQL migration scripts.
- Consolidated import statements and removed unnecessary blank lines.
- Updated logging configuration for better clarity.
- Enhanced the safe execution code with improved error handling and logging.
- Removed commented-out code and unnecessary variables in backfill_zero_trades.py and other scripts.
- Added a pyproject.toml for Ruff and Vulture configuration.
- Introduced requirements-dev.txt for development dependencies.
- Removed commented-out stock entries in init.sql for cleaner migration scripts.
Simplify runtime configuration and remove legacy database and settings surface so new installs are easier to operate.
Refresh deployment assets, docs, and order execution behavior to keep the packaged app aligned with the current backend.
Made-with: Cursor
- Add strict_precision parameter to _dec_str methods
- Modify quantity normalization methods to return (Decimal, precision) tuple
- Infer precision from stepSize/lotSz/qtyStep for accurate formatting
- Update all order placement methods to use precision information
- Fix LOT_SIZE filter errors by strictly limiting decimal places
Affected exchanges:
- Binance Spot & Futures
- OKX
- Bybit
- Bitget Spot & Futures
- Deepcoin
This ensures order quantities are formatted with correct precision matching exchange requirements.
- Add cross-sectional strategy type (single vs cross-sectional)
- Support multi-symbol portfolio management with automatic ranking
- Add portfolio size, long ratio, and rebalance frequency configuration
- Implement parallel order execution for cross-sectional strategies
- Add frontend UI for strategy type selection and configuration
- Add i18n support (Chinese and English) for cross-sectional features
- Fix decimal precision issues in exchange order quantities
- Add last_rebalance_at field to database schema
- Add comprehensive documentation and examples
Database migration required: Add last_rebalance_at column to qd_strategies_trading table
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