nft-trading

Code for the Computational Social Media 2022 course project about NFT trading.

Installation

Download the data from the Kaggle website. The zip archive contains a single database file (nfts.sqlite, 7.4 GB).
Install a Python package manager, e.g. Miniconda (download and install from here).
Install the dependencies and activate the environment

conda env create -f environment.yml
conda activate nft-trading

Name		Name	Last commit message	Last commit date
Latest commit History 10 Commits
.gitignore		.gitignore
README.md		README.md
collect_tweets.ipynb		collect_tweets.ipynb
environment.yml		environment.yml
moonstream-dataset.pdf		moonstream-dataset.pdf
run_bert_model.ipynb		run_bert_model.ipynb
trades_per_user.ipynb		trades_per_user.ipynb
trades_prediction.ipynb		trades_prediction.ipynb
train_bert_model.ipynb		train_bert_model.ipynb
tweet_sentiment_analysis.ipynb		tweet_sentiment_analysis.ipynb
tweet_volume_analysis.ipynb		tweet_volume_analysis.ipynb