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

qteasy

Optimize Trading Strategies
View page source

Optimize Trading Strategies

This article describes how to optimize trading strategies.

To be completed

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