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Welcome to the 37th issue of the QUANTAMIZE WEEKLY CRYPTO RECAP, your weekly roundup of all the crypt
 

Quantamize

March 15 · Issue #37 · View online
Quantamize Cryptocurrency Weekly Recap

Welcome to the 37th 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 suggestions@quantamize.com.

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
Quantamize - Weekly Crypto Recap
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The Week in Review
Cryptocurrencies are poised to finish the 7-day week ending Friday, March 15th, 2019 broadly in the green as the price of Bitcoin (BTC) edged higher by about 91 basis points to roughly USD$3,950. Stellar (XLM) was the top performing major cryptocurrency this week, rallying more than 22% since last Friday to trade just below 11 cents per token – the altcoin’s best week of 2019 was driven by Coinbase Pro announcing trading support for XLM. Maker (MKR), the 16th largest cryptocurrency by market capitalization, lagged major coins this week, trading flat and holding the USD$670 level.  

In notable cryptocurrency news this week, prominent strategist and crypto pundit Tom Lee predicted a BTC price breakout for August 2019, citing the 200-day moving average as evidence. Conversely, Bloomberg reported this week that the BTC price is poised to downturn soon, citing the moving average convergence divergence (MACD) indicator as reasoning. Finally, the Head of Blockchain Solutions at IBM, Jesse Lund, hinted in an interview with Cheddar this week that the global tech giant may be poised to soon launch a stablecoin cross-border payment solutions for financial institutions. 

Of the 30 cryptocurrencies we model using AI and Machine Learning, 28 are positive for the week. Currently, 8 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 three times this week, most recently Thursday. 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 62.29%
  • Bitcoin Cash (BCH) – Do Not Own with an accuracy rate of 67.21%
  • EOS (EOS) - Do Not Own with an accuracy rate of 61.42%
  • Ethereum (ETH) – Do Not Own with an accuracy rate of 58.86%
  • Ethereum Classic (ETC) - Do Not Own with an accuracy rate of 62.70%
  • Litecoin (LTC) – Do Not Own with an accuracy rate of 65.81%
  • Ripple (XRP) – Buy with an accuracy rate of 62.75%

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Previously only for Wall Street, meet the man now using Artificial Intelligence to better predict the crypto markets...
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Quantamize Crypto Weekly Headlines Recap
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Lack of Bullish Momentum Will Drive Bitcoin Down
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'We Have Seen the Bottom on Bitcoin,' Analyst Says
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