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Wall Street strategist Tom Lee sees Bitcoin value at $55,000 based on its limited supply and market stabilization.
American economist and Nobel Prize winner in Economic Sciences Milton Friedman has aptly predicted the rise of digital currencies like the Bitcoin in 1999.
From $30 bln to $300 bln, Bitcoin price would reach $10,000 if the token market grows by ten times, ShapeShift CEO Erik Voorhees believes.
George Kikvadze of Bitfury laid out his expectations and predictions for 2017 in regards to the development of the bitcoin industry, community and most importantly, bitcoin network.
As the Blockchain community gets prepared to cross into the 2017, here are the vibes from our sage of Shoreditch, with predictions for the next 12 months.
Day four of Ethereum Devcon1 consisted of a showcase of the many different DApps that are being developed.
Prediction markets sound crazy. People “bet” on what the future will be, and the reported results end up accurate predicting the future.
Augur, the decentralized prediction market and one of the hottest Ethereum apps, has begun their token crowd sale on August 17, raising over US$600 thousand equivalent in BTC and ETH in the first day
Augur, the decentralized prediction market, launched its alpha version on Tuesday
Augur, the decentralized prediction market, made it to the finals of the Exponential Finance 2015 competition, taking place at the Conrad Hotel in Battery Park City in NYC on June 2 and 3.
Throw a dynamic and interconnected social-technical distributed currency network into the mix, and even the famously epigrammatic Yogi Berra would be at a loss to package the issue in an appropriately pithy witticism.
Benjamin Lawsky is leaving New York’s Department of Financial Service, five banks to pay US$5.6 billion fine for rigging markets, and more top stories for May 21.
Juniter’s prediction of 5 million Bitcoin users by 2019 sounds lackluster, but if current activity in Africa is sustained, it could also be proven meaningless.
Two computer scientists from MIT claim to have developed a “machine learning algorithm” that can potentially be used to predict the price of Bitcoin.
A price crash lays bare some of the strangest aspects of people’s personalities.
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