Predictive sentiment signals for crypto

Make better trades with the most powerful sentiment AI in crypto.

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Sentiment Signals

Fuel your strategies with data quantifying what the crypto markets think and feel.

Analyst Alpha

850/month
93 sentiment signals for the top 10 coins
Quantified from Twitter, Reddit & Bitcointalk
+3 years of historical data
Fidelity: daily

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access

Quant Alpha

2300/month
93 sentiment signals for the top 10 coins
Quantified from Twitter, Reddit & Bitcointalk
+3 years of historical data
Fidelity: minutely

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access

Full Alpha

3800/month
93 sentiment signals for 49 coins
Fidelity: minutely
Quantified from Twitter, Reddit & Bitcointalk
+3 years of historical data

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access

Strategy Signals

Integrate backtested sentiment strategy signals into your systems.

BTC short term signal

500/month
hourly signal for a long/short Bitcoin trading strategy
High trading frequency of ca. 3-5 trades/day
based on Twitter sentiments
Dashboard 

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access

BTC long term signal

500/month
hourly signal for a long/short Bitcoin trading strategy
Low trading frequency of ca. 1 trade/ day
based on Twitter sentiments
Dashboard 

Get in touch and get

access

What our clients say

“We tested several data vendors. Only Augmento’s data seems to have enough dimensions to significantly increase the performance of our strategies. The Augmento team is reliable and the system was stable from day one”

“At Frankfurt School, we are using Augmento’s data for research and publications. It is a unique dataset to analyze the sentiment of crypto assets on a broad field: a huge array of crypto assets and multiple variables to analyze them.”

David Klemm,
CEO of Tensoralpha

Prof. Dr. Philipp Sandner, Head of Frankfurt School Blockchain Center

“We tested several data vendors. Only Augmento’s data seems to have enough dimensions to significantly increase the performance of our strategies. The Augmento team is reliable and the system was stable from day one”

David Klemm,
CEO of Tensoralpha

“At Frankfurt School, we are using Augmento’s data for research and publications. It is a unique dataset to analyze the sentiment of crypto assets on a broad field: a huge array of crypto assets and multiple variables to analyze them.”

Prof. Dr. Philipp Sandner, Head of Frankfurt School Blockchain Center