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2.5

QTEASY Quick Start

  • QTEASY Quick Start Guide

Tutorials

  • 1. Installation & Configuration
  • 2. Acquire and manage financial data
  • 3. Use HistoryPanel to operate on and analyze historical data
  • 4. Research cross-sectional timing factors with HistoryPanel
  • 5. Using HistoryPanel to study cross-sectional stock-picking factors
  • 6. Studying event-driven factors with HistoryPanel
  • 7. Build your first strategy
  • 8. Use built-in strategies
  • 9. Custom Strategies in qteasy
  • 10. Another Custom Strategy
  • 11. Build a more complicated strategy
  • 12. Simulate the risk controls and Broker adaptation in live trading (dual-path)
  • 13. Optimize Strategies
  • 14. Deploy Strategies

``qteasy`` Architecture and Design

  • 1. qteasy Overall Architecture and Design Approach
  • 2. Core Concepts at a Glance
  • 3. Data Acquisition, Storage, and Data Types
  • 4. How a strategy declares and uses data
  • 5. Operator and Group: who runs when
  • 6. How Strategy runs: timing, data, and parameters
  • 7. Backtesting, live trading, and optimization: a unified entry point and different modes
  • 8. Backtesting engine and performance (design perspective)
  • 9. Design Intent and Unique Advantages
  • 10. Process data (proc.*) and dynamic backtesting (design specification)
  • 11. HistoryPanel and the optional “FactorResearch” helper layer (evaluation conclusions)
  • 12. Live Trading S1.3 Design Philosophy and Architecture

MANAGING DATA

  • 1. Qteasy Financial Historical Data Management
  • 2. Extracting information from data tables in a standardized manner
  • 3. HistoryPanel
  • 4. HistoryPanel Visualization
  • 5. Local data source — DataSource object
  • 6. Uniformly defined financial history tables
  • 7. DataTables — Basics tables
  • 8. DataTables — Price / OHLCV tables
  • 9. DataTables — Listed-company technical indicators and market trends
  • 10. DataTables — Listed-company fundamental data
  • 11. DataTables — Fundamental and Macroeconomic Data
  • 12. Automatically populate data using data acquisition channels.

Create and Manage Trading Strategies

  • 1. Using Trading Strategies
  • 2. Operator: Creation and Basic Configuration
  • 3. Operator: Creation and Basic Configuration
  • 4. Finding and Using Built-in Strategies
  • 5. Group and Strategy Signal Blending
  • 6. Three Strategy Base Classes: RuleIterator, FactorSorter, GeneralStg
  • 7. Custom Strategies: From Definition to Use
  • 8. Operator: Creation and Basic Configuration

Backtest and Evaluate Trading Strategies

  • 1. Backtesting Trading Strategies
  • 2. How to run a backtest
  • 3. Structure of Backtest Results
  • 4. Transaction process records
  • 5. Backtest Results Evaluation and Analysis
  • 6. Backtesting Engine and Performance

OPTIMIZATION

  • 1. Trading Strategy Optimization Overview
  • 2. How to Run Strategy Optimization
  • 3. Optimization Algorithms: Differences and Use Cases
  • 4. Optimization Result Structure and Access
  • 5. Analyzing and Using Optimization Results

Simulated Live Trading Module

  • 1. Simulated live trading

LIVE SIMULATION

  • 1. Simulated Live Trading Overview (API Perspective)
  • 2. Simulate Live Trading in CLI
  • 3. Simulate Live Trading in TUI

QTEASY Trading Strategy Examples

  • 1. Double MA Timing
  • 2. Alpha Stock Selection
  • 3. Collective Bidding Strategy
  • 4. Multi-factor Stock Selection
  • 5. Psuedo-Grid Trading Strategy
  • 6. Enhanced Index Stock Selection
  • 7. Cross-product arbitrage trading strategies (educational equivalent version)
  • 8. Intertemporal Arbitrage Trading Strategies (Equivalent Educational Version)
  • 9. Intraday Turnaround Trading Strategy (Equivalent to Tutorial Version)
  • 10. Market Maker Trading Strategies (Tutorial Version)
  • 11. Turtle Trading Strategy (Simplified Tutorial)
  • 12. Sector Rotation Stock Selection Strategy (Equivalent to Educational Version)
  • 13. Grid Trading Strategy
  • 14. Machine Learning Stock Selection Strategies (Teaching Framework)
  • 15. Large-Cap/Small-Cap Rotation Investment Strategy (Equivalent to Educational Version)

API REFERENCES

  • 1. Configure QTEASY
  • 2. Acquiring and Managing Data
  • 3. Managing Historical Data - DataSource Object
  • 4. HistoryPanel Class
  • 5. Historical Data Types — the DataType Object
  • 6. Built-in Strategies
  • 7. All Built-in Strategies
  • 8. Operator class
  • 9. Trading Strategy Class
  • 10. No policy parameters
  • 11. Backtester strategy backtesting engine
  • 12. Optimizer strategy optimizer
  • 13. Strategy parameter optimization method
  • 14. Start QTEASY

LICENSE

  • License

About ``QTEASY``

  • About QTEASY
  • Need help?
  • Development roadmap
  • CONTRIBUTION
  • CODE OF CONDUCT
  • Publishing history

FAQ

  • FAQ
  • 1. 顶层导出（按 __all__ 分类）
  • QTEASY 2.0 Migration Guide
  • Backtest results of built-in trading strategies
  • Download and Manage Financial Data
  • Built-in Historical Data Types in qteasy
  • Back Test and evaluate Strategy
  • Built-in Strategies
  • Optimize Trading Strategies
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