Trading Strategies Final Year Projects with Source Code

Trading Strategies Final Year Projects for BE, BTech, ME, MSc, MCA and MTech final year engineering students. These Trading Strategies projects give practical experience and help complete final-year submissions. All projects follow IEEE standards and each project includes source code, project thesis report, presentation, project execution and explanation.

Trading Strategies Final Year Projects

  1. A Signature Transform of Limit Order Book Data for Stock Price Prediction
    This project focuses on predicting stock prices using advanced machine learning techniques. It takes detailed order book data from stock exchanges and extracts key patterns called signature features. These features are then used to train models like deep neural networks and random forests. The results show that using signature features improves prediction accuracy and efficiency, especially in developed markets.
  2. A Mean-VaR Based Deep Reinforcement Learning Framework for Practical Algorithmic Trading
    This project focuses on creating a smart system to help investors manage stock portfolios. It uses past market data to suggest which stocks to buy or sell. The system can handle market ups and downs and learns to improve its decisions over time. Tests show it performs better than standard strategies.
  3. Applications of Artificial Intelligence in the Economy Including Applications in Stock Trading Market Analysis and Risk Management
    This project studies how Artificial Intelligence (AI) can be used in economics. It looks at applications like stock trading, market analysis, and assessing financial risks. The research organizes different AI methods and explains how they are evaluated. It also highlights current challenges and suggests directions for future work.
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Trading Strategies Project Synopsis & Presentation

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