A financial analysis base on csv_file that study the arbitrage opportunities in bitcoin and other crypto currencies, following the 3 phases in financial analysis.
- Collect Data
- Prepare Data
- Analyze Data
Final Step:
- Create a Analysis Report.
In this project we are using Python 3.8/ Jupyter lab. The libraries tha we use are pathlib & pandas.
To be able to use this repository we can run a git comand like this one:
jupyter lab (This comand will lunch the webpage with jupyter lab)
Final view should be the following:
This code was shared in 2021 Education Services at UCB.
Additional updates/ uploads for usability was added by raul@nogalesfundmgmt.com
MIT License
Copyright (c) 2021 Raul
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.