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S Jun 5, 2017 at 10:00 history suggested Franck Dernoncourt
add terminology tag
Jun 3, 2017 at 18:29 review Suggested edits
S Jun 5, 2017 at 10:00
Mar 31, 2013 at 1:54 history tweeted twitter.com/#!/StackQuant/status/318179448052670464
Mar 25, 2013 at 19:33 comment added Chloe A human can filter an algorithm's trade suggestions based on information the algorithm might not know, such as news event. For example, an algorithm might select a Cyprus bank stock to buy based on price, but a human knows better.
Mar 14, 2013 at 15:42 vote accept lodhb
Mar 13, 2013 at 10:15 answer added lodhb timeline score: 11
Mar 6, 2013 at 14:53 answer added AlgoQuant timeline score: 2
Mar 6, 2013 at 14:15 comment added bill_080 I don't think it's a devaluation of human intuition. It's simply noise. "Intuition" of noise is just more noise (no different than flipping a coin). Are you willing to pay someone to sit around and flip a coin?
Mar 6, 2013 at 14:08 answer added LazyCat timeline score: 0
Mar 6, 2013 at 5:28 comment added cdcaveman the whole devaluation of the capacity of human intuition is quite disappointing..
Mar 6, 2013 at 0:59 comment added bill_080 I'm assuming that you're asking about a non-retail transaction. Unless something special is taking place, there's no need for a human to be involved in the trade. The trade is already "mostly noise", so allowing a human to "decide" something raises the noise level, making things worse.
Mar 5, 2013 at 22:19 comment added chrisaycock I've just called the first one "broker algos" and the second one either "strategies" or "models".
Mar 5, 2013 at 21:59 history asked lodhb CC BY-SA 3.0