AI-for-Trading

Contents

📈 This repo contains detailed notes and multiple projects implemented in Python related to AI and Finance such as portfolio optimization, researching alpha factors, leveraging Alphalens and backtesting your strategy via Zipline.

• Theory and Quizzes

  • Stock Prices
  • Quant Workflow
  • Regression
  • Time Series and Modelling
  • Volatility
  • Pairs Trading and Mean Reversion
  • Stock, Indices and Funds
  • ETFs
  • Portfolio Risks and Returns
  • Portfolio Optimization
  • Factors
  • Factor Models and Types of Factors
  • Risk Factor Models
  • Time Series and Cross Sectional Risk Models
  • Alpha Factors
  • Alpha Factor Research Methods

• Projects

  • Project 1: Momentum Trading strategy

  • Project 2: Breakout Strategy

  • Project 3: Simple MA crossover strategy

  • Project 4: Smart Beta and Portfolio Optimization

  • Project 5: Alpha Research and Factor Modelling

  • Project 6: NLP on Financial 10-K Statements

  • Project 7: Sentiment Analysis of Financial Statements

  • Project 8: Combining Signals for Enhanced Alpha

  • Project 9: Backtesting

  • Project 10: Cryptocurrency price prediction using LSTM