Finding the signal in the noise - Interview with Eliaz Tobias of Crowdsense episode artwork

EPISODE · Sep 8, 2021 · 48 MIN

Finding the signal in the noise - Interview with Eliaz Tobias of Crowdsense

from Dollar Auction Show · host Shimon Lazarov and Alex Chizhik

Shimon and Alex welcome back Gil Eyal and Eliaz Tobias of Crowdsense. Crowdsense is one of the best tools in the market for finding signal in noise and can quickly analyze thousands of data points to help investors trade. This is acutely applicable to Crypto as Bitcoin, Ethereum, Cardano, Polkadot and even GameFi tokens like Star Atlas and Axie Infinity are driven by retail sentiment.We discuss whether social media sentiment can predict price movements of cryptocurrencies, the social influencers effect on cryptocurrency adoption, different algorithms that crowdsense users and many more topics. https://www.crowdsense.ai/starfund.iohttps://twitter.com/gileyalhttps://twitter.com/CrowdsenseaiApple Podcast: https://tinyurl.com/36u8fmbrSpotify Podcast: https://tinyurl.com/4zv6syfcHardcorefinance.comFollow us on Twitter@MrEBITDA@ShimonLazarovSupport the show

Shimon and Alex welcome back Gil Eyal and Eliaz Tobias of Crowdsense. Crowdsense is one of the best tools in the market for finding signal in noise and can quickly analyze thousands of data points to help investors trade. This is acutely applicable to Crypto as Bitcoin, Ethereum, Cardano, Polkadot and even GameFi tokens like Star Atlas and Axie Infinity are driven by retail sentiment. We discuss whether social media sentiment can predict price movements of cryptocurrencies, the social influe...

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Finding the signal in the noise - Interview with Eliaz Tobias of Crowdsense

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This episode is 48 minutes long.

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This episode was published on September 8, 2021.

What is this episode about?

Shimon and Alex welcome back Gil Eyal and Eliaz Tobias of Crowdsense. Crowdsense is one of the best tools in the market for finding signal in noise and can quickly analyze thousands of data points to help investors trade. This is acutely applicable...

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