shidenggui/easyquant

Features

• Automated Trading Engines - Provides a full execution engine for running quantitative trading strategies across multiple accounts based on real-time data.
• Event-Driven Trading Engines - Provides an event-driven engine to execute quantitative strategies and manage orders across multiple accounts.
• Algorithmic Trading Engines - Provides the core execution engine for loading and running automated quantitative trading strategies.
• Quantitative Trading Platforms - Provides an integrated environment for developing, backtesting, and executing algorithmic financial trading strategies.
• Trading Strategy Backtesters - Ships a simulator for evaluating financial trading strategies against historical market timestamps and data.
• Trading Strategy Frameworks - Provides a framework for loading, managing, and executing specific named quantitative trading strategies.
• Market Data Providers - Provides an abstract interface for fetching stock quotes and order book data from multiple market data providers.
• Event-Driven Architectures - Implements an event-driven architecture to trigger trading logic based on market data updates and time events.
• Redis-Backed State Stores - Uses Redis as a persistent store for managing account credentials and system configuration across sessions.
• Dynamic Logic Reloading - Supports the automatic reloading of trading logic into the engine when source files are modified.
• Hot-Reloading Systems - Provides a system for updating trading strategy code at runtime without requiring a full process restart.
• Account Credential Management - Implements encrypted storage for account identifiers and passwords to securely authenticate with trading platforms.
• Time Simulation Utilities - Implements a virtual clock to simulate market timestamps, allowing time-dependent trading logic to be tested without real-time waiting.
• Virtual Time Testing - Includes a virtual clock simulation to verify time-dependent trading logic by decoupling events from the system clock.

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