Full analysis and code found here: https://github.com/CryptoLionR/ALCX-PricevHolders
Flipside VELOCITY query: https://app.flipsidecrypto.com/shareable/adoption-and-price-J6iI1y
Summary
Utilizing sklearn’s Linear Regression module in Python, I was able to analyze a couple different subsets of data from flipside VELOCITY’s query such as ALCX accounts vs time, change in ALCX accounts & change in ALCX price vs time, change in ALCX price vs change in ALCX accounts, and change in ALCX price vs unique accounts.
1.1 There has been a constant increase in unique accounts over time
1.2 ALCX Price tends to increase with respect to the number of unique ALCX accounts.
1.3 There is large variability in the relationship between the change in price of ALCX and the change in unique accounts.
Conclusion
As more users adopt Alchemix, the price history has shown that it tends to increase with respect to the addition of new users.
This prediction is largely restricted to the data set and the variables within the scope (ALCX price and number of ALCX accounts).
See the full write-up and code on Github here!
