Algorithmic trading, which relies on analyzing a massive amount of data to make buy, sell and hold decisions, is going to increase exponentially, Commodity Futures Trading Commission Chief Innovation Officer Daniel Gorfine predicted during the session. He said financial policy makers in industry and government are suffering from a lack of tech literacy. >>> Read the full article @ Forbes
The internal trading desks of brokerages, hedge funds and institutional investors use computer-driven trading algorithms routinely. Algorithms are complex math equations used to program computers to make decisions. On Wall Street, algo trading is used to buy and sell stocks automatically. >>> Read the whole article @ Investors
In the end, perhaps the biggest lesson is once again that industry needs to look beyond monolithic algorithms and think more creatively about all of the ways their algorithms can go wrong. >>> Read the full article @ Bloomberg
As humans we cannot operate on the millisecond time scale — but algorithms can, and it is these algorithms that are now dominating the financial landscape. In this TEDx Wall Street talk Sean Gourley examines this high frequency algorithmic ecosystem.
We’ve seen fully automated bot beat us in Go, one-on-one Poker and DOTA II, now what’s going to happen in the financial markets? Listen to Marshall Chang of A.I. Capital Management sharing the results of his research, a Deep Learning trading agent.
Dark Pools is a page-turning, fascinating account of how computerized algorithmic high-frequency trading (HFT) and electronic platforms evolved, took over financial markets and turned the NYSE floor into a mere “puppet-show for TV.” >>> Read the full article @ Seeking Alpha
This article looks inside the meanest, smartest algorithms on the street, and the even meaner, smarter algorithms that will replace them. The cold war is history, but there’s an arms race underway in algo trading. It started in the eighties, and shows no signs of slowing down. >>> Read the full article @ Nerds on Wall Street