This algorithm predicts stock prices in Python using recurrent neural network and machine learning. Practice run from YouTuber NeuralNine. [Published on Febuary 2nd, 2021]
It is recommended to run this program in a conda environment. Assuming that has already been set up, you can create a conda environment:
$ conda create -n env_neural python=3.10
Now you have set up an isolated environment called env_neural, a sandbox-like structure to install everything mentioned in the requirements.txt file. Then you should activate the conda environment by using the command
$ conda activate env_neural
To deactivate the conda environment:
(env_neural) $ conda deactivate
You can install the required pip packages by running
(env_neural) $ conda install --yes --file requirements.txt
DISCLAIMER: This is not investing advice. I am not a professional who is qualified in giving any financial advice. This is a Python program purely about coding with financial data from the U.S. stock market.