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A player with a .300 batting average seems like an attractive pinch-hit option, late in a tie game with two on and two out. But consider who’s sitting next to him. That player is a .260 hitter, but he hits .320 against left-handed pitchers, his on-base plus slugging (OPS) is .800, and he has four hits including a home run in 10 lifetime at-bats against the ace southpaw on the mound. It’s an easy decision for the manager. Player B gets fewer hits per at-bat overall, but because he has a better chance of driving in runs in this specific situation, he gets the call. Such granular, sabermetric-type analysis is becoming available to institutional equity traders, who need help deciding which exchange or dark pool to route orders to.
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