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Topic: Scalpex index - Social data analysis for bitcoin market forecasting - page 2. (Read 391 times)

member
Activity: 386
Merit: 78
[insert coin to continue]
...and how does your tool handle causalities?
Isn't it going to highlight the word "sell" if i spam "don't sell" everywhere?  Grin

Also, what "users" are you referring to? (see point "user ratings")

The whole thing seems pretty irrelevant to me, sorry!


member
Activity: 343
Merit: 10
This is just garbage. They say “long is wrong,” but your gauge shows the green arrow. You guys have no idea what you’re doing.
copper member
Activity: 376
Merit: 103

How it works

We undertook a massive amount of work to collect data from a wide variety of sources, including Twitter, Facebook, Telegram, chats of major crypto exchanges (BitMEX and others) and much more.

We built models that "learned" to recognize when a particular message is a direct forecast/advice to buy or sell bitcoins, and populated them with real-world trade data from leading cryptocurrency exchanges. This is how we established a correlation between what people tend to write in chats and how it affects bitcoin rate over the medium term. Based on this, we developed a number of versatile instruments that facilitate successful trading. The package includes both the instruments that allow to view and study historical data and those that present the information in real time.




   
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