In an era where artificial intelligence deeply integrates with financial trading, we have introduced the industry’s first truly AI-driven quantitative trading terminal and app. This terminal seamlessly combines advanced structured financial news data products with multi-model deep learning and reinforcement learning technologies (CNN-LSTM, DQN, TimeGPT), providing fully automated services from market data acquisition and signal inference to order generation and execution. Supporting both PC and mobile platforms, our terminal empowers users to participate in financial markets more intelligently and efficiently.
I. Core Product Advantages
AI & Financial Data Integration for Real-time Accurate Inference
The terminal automatically integrates vast multi-dimensional data sources through data pipeline connectors, including market data, economic indicators, and structured news data, employing advanced deep learning and reinforcement learning models for real-time analysis and trading signal inference.
Automatic Multi-Scenario Model Selection
Built-in models include CNN-LSTM for stable mid-to-low-frequency trading, DQN for ultra-high-frequency rapid trading, and TimeGPT for complex trend analysis. The terminal automatically selects or combines models according to different user needs and market scenarios.
User-Friendly Natural Language Interaction
Users can easily create personalized quantitative trading instances without complex programming skills. The terminal automatically handles data access, feature engineering, model inference, and order generation, significantly lowering the entry barrier and enhancing trading efficiency.
Fully Automated Trading Execution and Order Management
The terminal integrates with multiple brokerage firms, automatically executing AI-generated orders, achieving a rapid response automated trading loop that seamlessly transforms signals into profitability.
Precise Risk Analysis and Control
Integrates the TimeGPT posterior prediction model and VaR margin risk control model, providing precise market risk identification and forward-looking analysis capabilities, enabling real-time market risk alerts and effective reduction of risk exposure.
Intelligent Financial Analysis Reports
Utilizes advanced billing analysis models to generate clear, precise, and real-time financial reports, enabling users to swiftly grasp their financial status and optimize capital management and profitability.
II. Trading Terminal Service Modules
My Charts
Offers comprehensive analysis charts for non-option financial products and macroeconomic data, including candlestick charts, weather forecasts, and agricultural analysis (requires data pipeline connectors).
My Options
Dedicated analysis charts for option-based financial products (requires data pipeline connectors).
My Models
A marketplace where users can purchase and download various AI inference models to enhance trading terminal analysis and decision-making capabilities.
My Quantitative Trading
Integrated regularly updated official deep learning models, including ARIMA-GARCH, BERT, and CNN-LSTM, providing robust mid-to-low-frequency quantitative trading strategies.
My Trading Orders
Employs the DQN automated reinforcement learning model, delivering real-time ultra-high-speed order strategy generation and execution.
My Risk Analysis
Integrates the TimeGPT posterior prediction model and VaR margin risk control model for precise market risk assessment.
My Financial Analysis
Uses billing analysis models to provide clear and real-time financial analysis reports.
My Intelligent Agent
Supports user integration of open-source large language models (LLM) or configuration of cloud interfaces such as OpenAI, enabling advanced intelligent decision-making and interaction.
My Messages
Integrates proprietary instant messaging tools, delivering multi-dimensional notifications and private messages to keep users updated with real-time market and trading developments.
My Applications
An app store module where users can purchase and use various mini-programs to further enhance terminal functionality and convenience.
III. Recommended Hardware Configuration
To ensure efficient and stable operation, we highly recommend official GPU-equipped workstations or GPU cloud desktops. Official GPU workstations utilize NVIDIA’s latest professional-grade GPUs, meeting intensive multi-model inference requirements, ensuring real-time data processing and signal generation. GPU cloud desktops offer flexible and convenient cloud-based AI computing environments, enabling users to execute trading strategies efficiently from anywhere.
Store: Aws URL
Cloud Desktop: https://www.tradingpopup.com/desktop
IV. End-to-End Automated Deployment
The terminal supports both local and official cloud deployments, providing end-to-end automation from data preprocessing, feature engineering, model training, and real-time inference to order execution and result visualization. This approach significantly reduces technical operation and maintenance costs, enabling seamless scalability and flexible deployment.
V. Typical Application Scenarios
Quantitative Hedge Funds
Using multi-model strategy templates to create sophisticated market strategy combinations.
High-Frequency Trading Teams
Leveraging the DQN model to swiftly capture subtle market changes and optimize liquidity capture.
Investment and Risk Management Departments
Employing TimeGPT for deep risk forecasting and macroeconomic trend analysis.
Professional Individual Investors
Flexibly combining CNN-LSTM, DQN, and TimeGPT for intelligent trading and precise risk and return management.