How Social Listening And Machine Learning Are Used To Predict Bitcoin Price V...
New data analysis methods can predict bitcoin price movements based on social sentiment. This introduces a new front in the war on FUD.“Social media” is a gigantic umbrella term that nobody can precisely define. Twitter, Reddit, Facebook, 4Chan, you name it. It doesn't matter if it's a worldwide platform or a tiny forum chat; if it connects users over the internet, it's social media. On sites like Twitter, users are separated into tiers of opinion authority based on followers and likes. Those that achieve the greatest opinion authority are recognized with the coveted blue checkmark. These....
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With the vast popularity of Shiba Inu in the crypto space and millions of investors holding the SHIB token, the direction of the price has always been an interesting and hotly debated topic. Expectations are that the meme coin will continue to rise drastically as theme coins become some of the frontrunners of the crypto market, and many analysts agree. Even a machine learning algorithm has predicted that the Shiba Inu price will surge in the next few days. Machine Learning Algorithm Predicts 119% Surge The CoinCodex machine learning algorithm, taking into account a number of indicators,....
Quantitative crypto finance has a wide array of machine learning techniques to call on. Here are five, explained for their characteristics.
The machine learning algorithm at CoinCodex has taken a crack at predicting where the Dogecoin price will land in December. Despite the current uptrend in the crypto market, the algorithm is less than optimistic about the price of DOGE over the next month and the price prediction reflects this. Dogecoin Price At $0.065 The CoinCodex […]
Learning Machine plans to take its new Bitcoin blockchain certification solution to the commercial market in 1Q 2017. This is less than a year after its June 2016 launch of the open standard Blockcerts toolset, which it built in collaboration with MIT Media Lab. The partnership came about as a result of the company’s work on admissions systems for the Massachusetts Institute of Technology (MIT). Philipp Schmidt, Director of Learning Innovation for MIT Media Lab, summarized the history of Blockcerts and its team of collaborators, in his October 24 column on Medium. Learning Machine is a....
Ensuring the accuracy of data, as well as streamlining downstream reporting for transaction monitoring, can benefit from machine learning. Most people see blockchain technology as a way to reduce costs in the financial ecosystem. While it is certainly true Bitcoin technology can help institutions save a lot of money, there are other technologies which can be beneficial as well. Machine learning can help reduce costs on transaction monitoring, which is quite an interesting strategy to consider. Regardless of how people want to look at things, the financial world will be undergoing some....