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Extracting Profits From Crypto-Currencies | Running Alpha Opens New Ground in Data-Driven Decision-Making: Introducing AI-Powered Quantum Machines

by efrem on Tuesday December 12, 2017 at 10:41 pm EST | Tags: , , , , , , , ,

Running Alpha is the first AI-Powered Algorithmic Machine Intelligence Framework that was designed from the ground up to:

organically simulate how nature uses quantum computing principles for circumventing the constraints of processing exponentially big chunks of classical data ( visible information ) in real-time.

In-house proprietary technology is used for transforming data into an encrypted superposition of quantum entangled states — each representing the observed event from a unique viewing perspective; independent of human or machine observation.

Adapted from the founder’s U.S. patents on Autonomous Hierarchical Assemblies of Artificial Neural Networks — for giving early warning of tornado outbreaks from 3D atmospheric radar imagery — the parameters underlying the conversion process were discovered.

Up until now, conventional machine intelligence can only learn by example in sequence; and because they require a very large number of past examples to recognize variation and identify change, many of today’s newer data sets of finite length impose a roadblock to innovating data-driven applications.

Even in those situations where the data history is not limited, legacy classical algorithms are unable to leverage the capabilities offered by Running Alpha’s massively-parallel one-shot training process (self-generated), which takes into account gauge symmetries — the unchanging geometric relationships among the viewing perspectives (quantum states) that lead to emergent structure in the real-world; and as such, traditional AI platforms are ill-designed for detecting anomalies in data we have never seen before.

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Telegraphing Financial Vortices: Your Financial Data is Trying to Tell You Something: Is Your Digital Wealth Management Process Built to Hear it?

Telegraphing Financial Vortices: Your Financial Data is Trying to Tell You Something: Is Your Digital Wealth Management Process Built to Hear it?

The Fintech marketplace is in rapid flux; although we have a myriad of platforms for leveling the playing field between retail and institutional investors, they fall short at addressing the underlying physics of asset price movement and volatility behavior.

 

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The 9th Annual Trading Show Chicago is just around the corner, and Terrapinn is excited to announce the participation of Efrem Hoffman, CEO & Founder, Running Alpha Investments Inc.

by efrem on Thursday April 20, 2017 at 12:58 pm EST | Tags: , , ,

Join Efrem Hoffman, CEO & Founder of Running Alpha Investments, where he will go live as a KeyNote Panel Speaker & Roundtable Moderator of “Perception Arbitrage” & “Smart Beta 3.0” at the 2017 Chicago Trading Show.

Trading Show Chicago is a leading quant & algo trading event that brings together thought-leaders for showcases bleeding edge innovations and actionable research in Automated Trading, Quantitative Strategies, Big Data Finance, Exchange Technology, HPC, and BlockChain infrastructure.

Efrem will be participating in the panel discussion “Trading the Trump factor – a new source of portfolio alpha?” as well as leading roundtables on “perception arbitrage” and “smart beta 3.0.”

Terrapinn is excited to offer a limited number of complimentary VIP passes to qualified buy-side colleagues of Efrem’s from quant hedge funds, trading firms, investment banks, asset managers, pensions, endowment and foundations.

Apply for your VIP pass now >>

Here is a quick snapshot of the 9th annual Trading Show Chicago:

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