For nearly eight years, I spent almost every day sitting behind a wall of computer screens. I was a high-frequency trader, and my job was to create algorithms that would trade billions of dollars in stocks at microsecond speeds—trying to capture fractions of a penny of mathematical price discrepancies. Over time, these algorithms would generate millions of dollars in profit for the bank I was working for. Everything I did was based on math and data. I hardly knew anything about the companies I was trading outside of their stock ticker, and it didn’t matter. It was all about the numbers. [time-brightcove not-tgx=”true”] In the world of high-frequency trading, a microsecond ga
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