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Bipartisan Crypto Legislation Introduced in US House

Welcome to the 29th issue of the QUANTAMIZE WEEKLY CRYPTO RECAP, your weekly roundup of all the crypt


January 18 · Issue #29 · View online
Quantamize Cryptocurrency Weekly Recap

Welcome to the 29th issue of the QUANTAMIZE WEEKLY CRYPTO RECAP, your weekly roundup of all the crypto news you need to know. At Quantamize, we are seeking to level the playing field for individual investors with AI-powered Multi-Factor models across multiple asset classes, including Cryptocurrencies. If you have any feedback on this weekly report please send us a note at

Every day at Quantamize, we track the top stories that affect cryptocurrencies and the emerging blockchain ecosystem. At the end of the week, we review all the news to give you a clear picture of what was most important.

Quantamize Weekly Crypto Recap
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The Week in Review
Cryptocurrency markets are poised to finish the week mostly lower with Bitcoin (BTC) falling 1.17% since last Friday to roughly USD$3,650. In major crypto news this week, Binance launched a new exchange venture on the British self-governing island of Jersey that will target European users and feature crypto trading against both the euro and the British pound. Tom Emmer also made headlines in crypto news this week when the Republican lawmaker from Minnesota introduced House Bill 0185, a piece of legislation with bipartisan support that would effectively protect certain cryptocurrency startup from state-level money transmission laws.  

Also in cryptocurrency news this week, US-based BTC ATM operator Coinme announced a partnership with Coinstar to sell BTC at the latter’s thousands of coin counting kiosks in grocery stores across the United States. Finally, Brave Browser, an ICO funded Internet browser whose Basic Attention Token (BAT) is the 34th largest cryptocurrency by market capitalization, announced the launch of a feature that allows users to elect to view up to 20 advertisements per day and rewards the user with 70% of the advertising revenue. 

Of the 30 cryptocurrencies we model using AI and Machine Learning, 5 are positive for the week. Currently, 10 cryptocurrencies modeled by our Machine Learning algorithms are rated as “Buy”. Nearly all of these models have accuracy scores above 60%!

If you’re a cryptocurrency trader, Quantamize’s AI Machine Learning 3-Day Crypto Trading Signals were updated twice this week, most recently today. We model 30 cryptocurrencies and produce directional “Buy”/“Do Not Own” trading signals that help cryptocurrency traders navigate the crypto markets over the short term. You can find a screenshot of our Crypto Signals below. A few highlights include:

  • Bitcoin (BTC) –Do Not Own with an accuracy rate of 63.52%
  • Bitcoin Cash (BCH) – Do Not Own with an accuracy rate of 68.48%
  • EOS (EOS) - Do Not Own with an accuracy rate of 61.14%
  • Ethereum (ETH) – Do Not Own with an accuracy rate of 61.29%
  • Ethereum Classic - Do Not Own with an accuracy rate of 64.98%
  • Litecoin (LTC) – Do Not Own with an accuracy rate of 65.46%
  • Ripple (XRP) – Do Not Own with an accuracy rate of 64.37%

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