Update trade dates for 2026 and add adjustments for 2024-2025

Author: yutiansut

CLAUDE.md

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+# CLAUDE.md
+
+This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
+
+## Overview
+
+QUANTAXIS is a quantitative financial framework written in Python that provides a comprehensive suite of tools for financial data analysis, backtesting, and trading strategy development. The project is organized into multiple modular components for different aspects of quantitative finance.
+
+## Architecture
+
+The codebase is structured into distinct modules under the `QUANTAXIS/` package:
+
+- **QAFetch**: Multi-market data acquisition and storage (MongoDB/ClickHouse)
+- **QAUtil**: Trading time utilities, calendars, market identification, and dataframe conversions
+- **QIFI/QAMarket**: Unified multi-market, multi-language account system
+  - `qifiaccount`: Standard account system consistent across languages (Python/Rust/C++)
+  - `qifimanager`: Multi-account management system
+  - `qaposition`: Single asset position management for precise long/short control
+  - `marketpreset`: Market preset classes for futures/stocks/crypto metadata
+- **QAFactor**: Factor research suite for factor analysis, management, and combination
+- **QAData**: Multi-asset, multi-market data structures for real-time and backtesting
+- **QAIndicator**: Custom indicator framework with batch market-wide application
+- **QAEngine**: Custom thread/process base classes for async and distributed computing
+- **QAPubSub**: MQ-based message queue supporting 1-1, 1-n, n-n message distribution
+- **QAStrategy**: CTA/arbitrage backtesting suite with QIFI mode support
+- **QAWebServer**: Tornado-based web server for microservice architecture
+- **QASchedule**: Background task scheduling built on QAWebServer
+- **QAAnalysis**: Analysis and reporting tools
+- **QACmd**: Command-line interface and utilities
+- **QASU**: System utilities and maintenance tools
+
+## Development Commands
+
+### Installation
+```bash
+pip install -e .
+# Or install requirements first:
+pip install -r requirements.txt
+```
+
+### Code Quality
+```bash
+# Linting (uses pylint with configuration in .pylintrc)
+pylint QUANTAXIS/
+
+# The project has a comprehensive .pylintrc configuration file
+```
+
+### Console Commands
+The package provides several console entry points:
+- `quantaxis` - Main CLI command
+- `quantaxisq` - TDX data fetching
+- `qarun` - Strategy runner
+- `qawebserver` - Web server launcher
+
+### Data Management
+```bash
+# Update market data (various scripts in config/)
+python config/update_data.py
+python config/update_all.py
+python config/update_future.py
+python config/update_fin.py
+```
+
+## Key Dependencies
+
+- **Database**: MongoDB (pymongo 3.11.2), ClickHouse (clickhouse-driver)
+- **Data Processing**: pandas ≥1.1.5, numpy ≥1.12.0, pyarrow ≥6.0.1
+- **Web**: tornado ≥6.3.2, flask ≥0.12.2
+- **Financial**: tushare, pytdx ≥1.67, empyrical, pyfolio, alphalens
+- **Async/Messaging**: pika (RabbitMQ), motor (async MongoDB), gevent-websocket
+- **Analysis**: matplotlib, seaborn ≥0.11.1, statsmodels ≥0.12.1, scipy
+
+## Multi-Language Integration
+
+The project supports integration with QUANTAXIS Rust version through:
+- Apache Arrow format (pyarrow) for cross-language data exchange
+- Consistent QIFI account structures across Python/Rust/C++
+- Arrow-based communication with arrow-rs and datafusion-rs
+
+## Database Architecture
+
+- **MongoDB**: Primary data storage for market data and account information
+- **ClickHouse**: High-performance analytics database for large-scale data analysis
+- Support for tick/L2 order/transaction data formats
+
+## Configuration Files
+
+- `.pylintrc`: Comprehensive linting configuration
+- `requirements.txt`: Core dependencies
+- `config/`: Directory containing data update and maintenance scripts
+- `docker/`: Docker configurations for various deployment scenarios
+
+## Examples and Usage
+
+Check the `examples/` directory for:
+- `qifiaccountexample.py`: QIFI account system usage
+- `factoranalysis.py`: Factor analysis workflows
+- `scheduleserver.py`: Task scheduling examples
+- `featureanalysis.ipynb`: Jupyter notebook examples
+
+## Version Support
+
+Python 3.5-3.10 supported (see setup.py for version validation).