Alpha Trader - GPT-Powered Trading Strategy Builder | Amirhossein Daadbin

Alpha Trader

Alpha Trader - AI-Powered Trading System
Completed: March 2023
Category: Fintech, AI, Trading
Revenue Model: Subscription

Project Overview

Alpha Trader is a sophisticated trading system that combines artificial intelligence, market data analysis, and automated trading strategies to provide intelligent trading recommendations. The system integrates multiple components to create a comprehensive trading solution.

Core Components

Data Collection & Storage Service

  • Collects real-time market data from MetaTrader5
  • Gathers financial news from NewsAPI
  • Stores data in MongoDB with efficient deduplication
  • Provides RESTful API endpoints for data access

Strategy Builder Service

  • Create, manage, and execute custom trading strategies
  • Support for price-based, news-based, and hybrid strategies
  • Scheduled execution at specific intervals
  • AI-powered analysis of market conditions

GPT Integration

  • Leverages GPT models for strategy creation and optimization
  • Natural language processing for market sentiment analysis
  • Automated generation of trading signals based on data analysis

Backtesting Engine

  • Test strategies against historical data
  • Performance metrics and visualization
  • Risk assessment and optimization

Technical Implementation

Technology Stack

Python Flask MongoDB React MetaTrader5 API GPT API Docker NewsAPI

Strategy Types

Price-Based Strategies

Use technical analysis of price data, access historical and real-time price data, suitable for technical indicators and patterns.

News-Based Strategies

Analyze financial news and market sentiment, access recent news articles and market updates, suitable for fundamental analysis.

Hybrid Strategies

Combine both price and news data, provide comprehensive market analysis, suitable for complex trading strategies.

How Strategies Work

When a strategy runs, it goes through the following process:

  1. Strategy Initialization
    • Status changes to "running"
    • Next run time is calculated based on execution interval
    • Error messages are cleared
  2. Data Collection
    • For price-based strategies: Fetches price data for specified symbols and timeframes
    • For news-based strategies: Retrieves recent news articles for specified symbols
    • For hybrid strategies: Collects both price and news data
  3. AI Analysis
    • Data is processed through GPT models
    • Trading signals are generated based on analysis
    • Confidence scores and risk assessments are calculated
  4. Results Storage
    • Analysis results are stored in the database
    • Historical performance is tracked
    • Signals are made available through the API

Results & Impact

Alpha Trader has successfully demonstrated the power of combining AI with traditional trading strategies. The platform has achieved several notable outcomes:

User Adoption

Over 500 active users within the first three months of launch, with a 65% retention rate.

Strategy Performance

AI-generated strategies outperformed traditional strategies by an average of 18% in backtesting scenarios.

User Feedback

91% of users reported that the platform helped them make more informed trading decisions.

Continuous Improvement

Regular updates based on user feedback and performance metrics have led to a 30% improvement in signal accuracy.

Interested in a Similar Solution?

I can help you build a custom AI-powered trading platform tailored to your specific needs and market focus.

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