Welcome to my Finance & AI repository, where I have built cutting-edge financial systems using Python, AI/ML, and Advanced Data Structures. These projects focus on algorithmic trading, portfolio optimization, risk management, and AI-powered stock predictions to simulate real-world trading and investment strategies.
AI-Powered Order Execution – Uses LSTM Neural Networks to predict stock prices.
Order Book Matching Engine – Implements Heap-based buy/sell matching for efficient trading.
Smart Order Routing (SOR) – Finds the best market conditions for optimal trade execution.
Multi-Trader Simulation – Automates trades between traders.
Tech Stack: Python, AI (LSTM), Pandas, NumPy, Graphs, Monte Carlo Simulation, Multithreading.
🔗 Explore Code: 📜 Algorithmic Trading System
Markowitz’s Modern Portfolio Theory (MPT) – Optimizes asset allocation for maximum returns.
Monte Carlo Simulations (10,000+ runs) – Evaluates different risk scenarios for portfolio safety.
Sharpe Ratio & Value-at-Risk (VaR) Calculations – Assesses investment efficiency & risk exposure.
Machine Learning for Stock Prediction – Uses Random Forest Regression for AI-driven forecasting.
Visual Risk-Return Analytics – Generates interactive charts to display optimal portfolios.
Tech Stack: Python, Pandas, NumPy, SciPy, Monte Carlo Simulation, AI (Random Forest), Data Visualization.
🔗 Explore Code: 📜 Portfolio Optimization & Risk Management
AI-Powered Financial Modeling – Uses Machine Learning & AI for better investment decisions.
Algorithmic Trading Strategies – Implements order book matching, trade execution, and AI signals.
Portfolio Risk Management – Runs simulations & optimizations to balance risk & reward.
Multi-Trader Simulations – Automates financial transactions between multiple traders.
Data Visualization & Insights – Generates interactive charts using Matplotlib & Seaborn.
Optimized Codebase – Uses advanced data structures (Graphs, Heaps, Monte Carlo, Neural Networks, Genetic Algorithms) for high-performance financial simulations.
1️⃣ Clone the repository:
git clone https://github.com/anshumansinha3301/Xyphors-Python-3301.git
cd Xyphors-Python-33012️⃣ Install dependencies:
pip install -r requirements.txt3️⃣ Run the project:
Algo-Trading-System-with-Smart-Order-Routing.py
Portfolio-Optimization-and-Risk-Management.py 💡 If you have any ideas, suggestions, or improvements, feel free to open an issue or pull request!
🔔 Star this repository ⭐ if you find it useful!
Happy Coding & Investing!