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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Real-time decision-making and trade execution

  • Real-time decision-making and trade execution

    The real-time decision-making and AI intelligent trading execution of the Parrot platform are based on real-time market data and pre-defined trading strategies, and are realized through automated systems. The following is the general process of parrot’s real-time decision-making and transaction execution:

    1. Data acquisition and processing: The Parrot platform obtains real-time market data from various data sources, including price data, transaction volume data, technical indicator data, etc. These data are then processed and preprocessed for subsequent analysis and decision-making.

    2. Real-time decision generation: Based on the acquired real-time market data, the Parrot platform uses pre-defined trading strategies and models to generate real-time decisions. Based on the logic and conditions of the strategy, determine whether a buy or sell signal is generated.

    3. Risk control and filtering: When generating real-time trading signals, risk control and filtering mechanisms also need to be considered to prevent unnecessary transactions and reduce transaction risks. Risk control parameters such as stop loss and take profit can be set, and trading signals can be filtered and verified to ensure the validity and reliability of trading signals.

    4. Trade execution: The generated real-time trading signals will be executed through the automated trading system. According to the type of trading signal (buy or sell), corresponding trading operations are automatically performed, including placing orders, canceling orders, modifying orders, etc., and interact with the exchange's trading interface in real time.

    5. Real-time monitoring and feedback: The Parrot platform monitors transaction execution in real time, including transaction status, account fund changes, etc. Provide feedback and records based on transaction execution results, and timely adjust strategies and risk control parameters to improve the stability and profitability of the trading system.

    Through the above process, the Parrot platform can realize intelligent trading decisions and automated execution based on real-time market data, providing investors with efficient, accurate and stable trading services.

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Last updated 1 year ago