Uncovered application allows AI robots to invest

Financial startup Unhedged launched its app after raising $3.1 million in funding and onboarding 8,000 customers.

the business claims that AI robots “beat humans to invest”.

Founders Peter Baker, Glenn Vanbavinckhoveand Saskia Albers see the trend towards AI as perfect timing.

“Although we’re quite far from mainstream adoption, consumers are considering autonomous vehicles (AVs) while already talking to AI chatbots and devices like Alexa at home,” comments Peter Bakker, CEO of ‘Unhedged.






“People are looking for products that help them build their wealth and allow them to compete in markets that are usually reserved for insiders.”

“Algorithmic investing exists, but is not yet easily accessible to mainstream investors who would arguably benefit most from its knowledge and scalability. Democratization in this area is inevitable,” says Saskia Albers, Chief Operating Officer from Unhedged.

Today, algorithms execute 80-90% of stock trading volumes depending on HFR and the world Bank. In 2018, “quantitative” funds managed just $932 billion, or just 1.2% of the total value of stocks traded at $77.6 trillion. Preqin notes that 23% of equity hedge funds are already using AI to generate trading strategies.

As funds flow into AI, where does that leave everyday consumers, asks the Unhedged team.

Quantitative investing has always been incredibly expensive, with their PhD teams and supercomputers: investments that made most quantitative funds inaccessible because they dealt with large volumes of capital. On top of that, most regulators have designated hedge funds as a “playground for the rich” and restrict retail investors.

In academia, says Unhedged, the pursuit of the holy grail of AI is ongoing. Dr Nitin Yadav from the University of Melbourne says:

“We teach algorithmic trading to students. From basic models and game theory, we add complexity with known risks and a few ‘states’, the world quickly becomes non-linear,” says the University of Melbourne. Dr Nitin Yadav.

Today, thanks to the warp speed that AI and machine learning have developed, as well as greater accessibility to computing power, retail investors are turning to automated investing.

“While other bots were stuck with their pre-determined positions and watching the market, among other proprietary processes, our algorithms run defensive states to mitigate losses,” says Glenn Vanbavinckhove, CTO and Chief Quant of Unhedged.

“It used to be a space focused on absolute returns and high-frequency trading. Now it’s accelerating towards quantitative strategies for long-term investing,” concludes the Unhedged adviser Doctor Thomas Stark.

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