Winter 2022, ECE 143 Final Project, Team 10

• This project provides an overview of crypto market and illustrates some insights by data analysis
• We analyze data from crypto market by finding some basic rules to help investment decision-making
• We validate some quantitative investment methods and technique indicators in crypto market

The dataset we utilized for analysis can be found on Kaggle.

Root:
├─── Code
│ "Final version.ipynb
├─── Data
│ asset_details.csv
│Crypto Analysis and Forecasting.pdf
│README.md

After downloading the third party modules, please download or open the "Final version.ipynb" jupyter notebook in your favorite software (i.e., Anaconda) and run it. Please download/import the "train.csv" dataset from Kaggle before executing the code. I have added the "asset_details.csv" under the "Data" folder, but the "train.csv" dataset was too big to be directly included there.

And note that: You need at least 4 GB RAM to run this code!!!

• Numpy
• Pandas
• Matplolib
• Plotly
• Seaborn
• Statsmodels
• yfinance
• alpha_vantage
• ta