- November 12, 2019 at 5:51 am #6303kwParticipant
I noticed that some analysts are looking at some new non-traditional forms of data to try to find correlations to price, such as “Spent Output Age Bands” and “Spent Output Profit Ratio”.
If not already aware, there is a service called Glassnode that aggregates this data. I thought this might be useful to you to feed to the ML model going forward, or at least experiment with.
- November 15, 2019 at 3:27 pm #6359JustinModerator
Hey, thanks for sharing this.
I signed up for that site and reading through the article: https://medium.com/unconfiscatable/introducing-sopr-spent-outputs-to-predict-bitcoin-lows-and-tops-ceb4536b3b9
SOPR is a pretty interesting metric.
The challenge with this site and most other data sources is they only publish it on a daily basis. To do our work, we need a live stream of data. That said, we can still run some analytics and deep learning against daily numbers to see if anything is there. I can also see if we have raw data available that’ll allow us to calculate SOPR and others on our own.
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