A collection of notebooks I used in my Medium articles.
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Updated
Jul 24, 2022 - Jupyter Notebook
A collection of notebooks I used in my Medium articles.
Technical Analysis of Financial Data.
Notebook for Data Science - Machine Learning
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.
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.
It is a Jupyter notebook that compares different trading strategies using technical analysis, machine learning, and deep learning methods.
Predicting closing stock returns and performing portfolio optimization. All in Jupyter Notebooks (Python)
This Jupyter notebook presents a comprehensive mathematical framework for predicting Bitcoin price movements using stochastic calculus, Fourier analysis, and technical indicators, combining Monte Carlo simulation with RSI and CCI metrics for enhanced accuracy.
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