Astroplot Analytics

I have been kept asking why I'm building a cryptocurrency predictor application and what are differences among the ones in the market already. It would be easier for me to write a blog post to address to those questions.


1. Are there any similar products in market already?
https://cryptomon.io/chart/bitstamp/btcusd/hour#knneighhbors

https://www.kocurrency.com/

https://neurobot.trading/


2. Why should we use your application over others?
TBD


3. How precise does your machine learning model predict the future prices of cryptocurrencies?

50-60% based on this article as well as our past track records using jupyter notebook.
https://hackernoon.com/predicting-cryptocurrency-prices-in-a-decentralized-way-1d57a36d3dce

4.What type of machine learning model(s) do you use in your software?

a. Sentiment Analysis using NLP
b. Deep Neural Network with News Data
reference that how we chose the two machine learning models

https://blogs.sas.com/content/subconsciousmusings/2017/04/12/machine-learning-algorithm-use

https://docs.microsoft.com/en-us/azure/machine-learning/studio/algorithm-choice


5.What are your technology stacks and why do you use them?

TBD
this can be a good reference:
https://blog.keen.io/architecture-of-giants-data-stacks-at-facebook-netflix-airbnb-and-pinterest/