You use tensorflow?
Cool AI 😎
Cool AI 😎
Thanks!
Nope – do you?
Topic: Hi testers: dashboard with long short signal for BTC based on sentiment (Read 107 times)
September 27, 2019, 09:27:12 AM
Thanks!
Nope – do you?
September 17, 2019, 05:35:14 AM
You use tensorflow?
Cool AI 😎
Cool AI 😎
September 17, 2019, 04:18:09 AM
Hi all,
We just launched a dashboard with a Bull & Bear trading signal.
So far only quants use our data. With the dashboard, our goal is to make a quantitative sentiment signal that is accessible for discretionary traders, too.
https://i.imgur.com/UEGvN6J.png
Some background on our technology:
We spent the last months training an AI that identifies 93 emotions (FOMO, Bullish/Bearish, optimism, FUD, ....) and topics (hacks, scam, technical analysis,...) in social media data (Reddit/Twitter/Bitcointalk) in real-time.
This is the full picture of what our AI detects in online crypto discussions:
https://i.imgur.com/VWFNmC8.jpg
We would be happy to hear what you think and we’re looking for testers who want to test the signal (for free) and provide feedback.
You can sign up here: https://www.augmento.ai/sentiment-signal-signup/
Looking forward to learning if you find this useful
Cheers
We just launched a dashboard with a Bull & Bear trading signal.
So far only quants use our data. With the dashboard, our goal is to make a quantitative sentiment signal that is accessible for discretionary traders, too.
https://i.imgur.com/UEGvN6J.png
Some background on our technology:
We spent the last months training an AI that identifies 93 emotions (FOMO, Bullish/Bearish, optimism, FUD, ....) and topics (hacks, scam, technical analysis,...) in social media data (Reddit/Twitter/Bitcointalk) in real-time.
This is the full picture of what our AI detects in online crypto discussions:
https://i.imgur.com/VWFNmC8.jpg
We would be happy to hear what you think and we’re looking for testers who want to test the signal (for free) and provide feedback.
You can sign up here: https://www.augmento.ai/sentiment-signal-signup/
Looking forward to learning if you find this useful
Cheers
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