FORBES: Speed-Traders-R-Us? Algorithmic Trading Trickles Down To Individual Investors

EquaMetrics' Christopher Ivey. (Photo credit: David Yellen/Forbes)

EquaMetrics’ Christopher Ivey. (Photo credit: David Yellen/Forbes)

According to Forbes’ Jeremy Bogaisky, Christopher Ivey is working on what he thinks is the next step in the evolution of trading. six flights up in a dim, grungy office building in Manhattan’s Union Square neighborhood. His efforts also serve as a subtle reminder that the current bull market seems to be a bit frothy.

Armed with $4.5 million in funding, the 2011 Harvard grad recently launched a Web-based platform called Rizm, designed to let individual investors with no coding skills build computer programs that select and trade stocks automatically, similar to the trading programs used by quant funds and high-frequency trading firms.

The pitch: For $99 per month investors get quick cloud access to sophisticated algorithm-building tools and the capability to back-test strategies. You can easily generate rapid-fire executable trades, sans emotion, and place them with an e-broker. Suddenly the notion of blasting out math-driven trades like über-successful quant hedge funds, such as James Simons‘ Renaissance Technologies, are a few clicks away.

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One Response to FORBES: Speed-Traders-R-Us? Algorithmic Trading Trickles Down To Individual Investors

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