Parrot Trade
  • Parrot Trade
  • Introduction
  • Background of the project
  • Project Overview
  • Technical Overview
  • Technical architecture overview
  • Core functions and features
  • Data collection and preprocessing
  • Data cleaning and denoising
  • Data standardization and normalization
  • Data transformation and feature engineering
  • AI intelligent learning and training model
  • Neural network model architecture
  • Supervised and unsupervised learning algorithms
  • Model evaluation and optimization strategies
  • Intelligent Trading Strategy
  • Risk Management and Money Management
  • Real-time decision-making and trade execution
  • Technical implementation and system architecture
  • Data storage and processing
  • Real-time data stream processing
  • Distributed computing and high availability
  • Security and Privacy Protection
  • Development Roadmap
  • Commercial Application and Value
  • Conclusion and Outlook
  • Appendix
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Technical implementation and system architecture

Backend system architecture

The Parrot back-end system architecture is designed to support various functions and services of the Parrot platform, including data processing, transaction execution, user management, etc. The following is a diagram of the Parrot backend system architecture:

  1. Data access layer: This layer is responsible for obtaining real-time market data from various data sources, including price data, transaction volume data, technical indicator data, etc. Data can come from APIs provided by exchanges, third-party data providers, web crawlers, etc.

  2. Data processing layer: In this layer, the acquired real-time market data is processed and preprocessed, including data cleaning, denoising, filling in missing values, feature extraction and other operations to facilitate subsequent analysis and decision-making.

  3. Trading decision-making layer: This layer is the core of the Parrot platform and is responsible for generating real-time decisions based on pre-defined trading strategies and models. Based on the processed real-time market data, determine whether a buy or sell signal is generated, and perform corresponding risk control and filtering.

  4. Trade execution layer: The generated real-time trading signals will be executed through this layer. The transaction execution layer interacts with the exchange's trading interface in real time, executes buy or sell orders, and monitors transaction execution.

  5. User management and permission control layer: This layer is responsible for user management and permission control, including user registration, login, account management and other functions. Restrict access to system functions and data based on user identity and permissions.

  6. Monitoring and logging layer: The Parrot back-end system also needs to have monitoring and logging functions to monitor system operation and transaction execution in real time, and record logs for subsequent auditing and analysis.

  7. Service governance and security layer: This layer is responsible for service governance and security management, including load balancing, fault recovery, security protection and other functions to ensure the stability and security of the system.

  8. Data storage layer: This layer is responsible for storing various data required by the system, including user information, transaction data, market data, etc. Appropriate database technology can be selected for data storage and management.

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Last updated 1 year ago