I created some notebooks about different concepts of financial engineering
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Updated
Jul 31, 2024 - Jupyter Notebook
I created some notebooks about different concepts of financial engineering
Notebooks from finance, general practice and Jovian courses on data analysis, ML and DL
Here are stored all my trades taken in PDF form with their respective study.
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).
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
Trading strategy exploration with jupyter-notebook
A 3 part series of Jupyter notebooks to help one find alpha in the stock market with AI
Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy
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