Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy
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Updated
Jul 2, 2020 - Jupyter Notebook
Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy
Trading strategy exploration with jupyter-notebook
A 3 part series of Jupyter notebooks to help one find alpha in the stock market with AI
In this Jupyter Notebook file, I fetched data of Tata Motors Ltd. from Yahoo Finance and tried building a simple trading strategy where the decision to buy and sell was decided with the help of moving averages
In this notebook, we build and train a Multi-Step / Multi-Output Regression Model powered by TensorFlow & Keras in order to predict Bitcoin's future trend.
Utilizing reinforcement learning, this project implements a dynamic algorithmic trading strategy based on Q-learning with a deep Q-network. The Jupyter Notebook explores agent decisions on buying, selling, or holding Nasdaq stocks over a ten-year period (2014-2023).
Notebooks from finance, general practice and Jovian courses on data analysis, ML and DL
I created some notebooks about different concepts of financial engineering
Here are stored all my trades taken in PDF form with their respective study.
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