Predicting closing stock returns and performing portfolio optimization. All in Jupyter Notebooks (Python)
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Updated
May 20, 2023 - Jupyter Notebook
Predicting closing stock returns and performing portfolio optimization. All in Jupyter Notebooks (Python)
A Jupyter notebook and report for ECM3420 focused on predicting the stock price using technical analysis
It is a Jupyter notebook that compares different trading strategies using technical analysis, machine learning, and deep learning methods.
Technical Analysis of Financial Data.
Notebook for Data Science - Machine Learning
Jupyter Notebooks to Help Discover New Crypto Currency Trading Strategies
In this Jupyter Notebook, I've used LSTM RNN with Technical Indicators namely Simple Moving Average (SMA), Exponential Moving Average (EMA), Moving Average Convergence Divergence (MACD), and Bollinger Bands to predict the price of Bank Nifty.
Python functions and an associated Jupyter notebook for technical analysis of stock price data. Numpy is used for calculating technical indicators. Matplotlib and mpl_finance are used for plotting data.
A collection of notebooks I used in my Medium articles.
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