Python3 Framework for Crypto-Currency Price Prediction using Fundamental Analysis.

Author:

• Jure V. <[email protected]>

• price (in USD and BTC)
• supply
• subreddit subscribers
• twitter followers
• transaction count
• mining difficulty
• hashrate

• daily, weekly and monthly change in subscribers/followers
• price prediction based on current price change versus subscriber/follower count change

To setup and play with Kriptomist we recommend using the IPython shell.

• If you are on a Windows machine, we recommend Anaconda Python distribution

• IPython shell ($ sudo apt install ipython3)

• Open a terminal (Anaconda Prompt on Windows) and install required Python modules:

  pip install -r requirements.txt
  

• Download the kriptomist SQLite database from 2020-07-03 and save it to db/kriptomist.sqlite

  OR

  Run db.py to create an empty database.

Using IPython, you can run scripts using run IPython command. The advantage is that you keep the global namespace in the shell after the script was executed.

In [1]: run kriptomist.py

This populates the database with (reddit, twitter, ...) data at the time the command was executed. It also outputs 2 HTML files:

• html/table_{day}.html (all coins)
• html/binance_table_{day}.html (only coins traded on Binance are listed here)

The default number of coins to process is initialy set to 10. To process more coins, create a file named local_config.py and specify number of coins you want to process:

NUM_COINS = 100

The maximum value for NUM_COINS is 5000.

In [1]: run kriptomist.py bitcoin

Once you've looked at the html table and want to analyze a specific coin (in this case - bitcoin), you can run the above command (replace bitcoin with the name of your chosen coin).

Look for CHART_METRICS in config.py, copy it to local_config.py and comment/uncomment desired metrics - that's it. Feel free to suggest improvements / create pull requests. Have fun.