This looks like a great way to make money with traditional stocks but something like this can apply to crypto too "On January 3rd 2019, Bristol-Myers Squibb (BMY) acquired Celegene (CELG) for $74 billion. CELG rose from 66.64 to 87.86 per share, giving it a 31.8% gain overnight. Although most professionals missed out on those gains, there were other hidden opportunities to be had if you knew where and how to find them.A group of equities that have relatively unknown and indirect relationships to CELG also rose in value but not immediately. The delay in their rise was sufficient enough that any funds, traders or investors that took positions in those equities related to CELG, stood to benefit. This is an example of information arbitrage in the financial markets. It happens from time to time and when it does, most people miss the opportunity.Capturing information arbitrage opportunities can be done using advanced techniques in the area of Natural Language Processing and Understanding (NLP/NLU). This also includes the processing correlation matrix datasets based on data such as public company profiles, encyclopedias, peer-reviewed scientific literature, news and patents located here.Using a NLP/NLU correlation matrix dataset of US publicly traded equities, we generated a cluster (or basket) of companies that have relationships to CELG based on symbiotic, parasitic and sympathetic latent entanglement.What we found, with the top five scoring equities, were unique opportunities to profit ahead of the market. We've produced the following slides with charts to describe where gains should have been locked in..."http://bit.ly/2SenuEA
Submitted January 28, 2019 at 10:46AM
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