TEDxConcordia - Yan Ohayon - The Impact of Algorithmic Trading

Yan Ohayon demystifies and shares his experience with algorithmic trading and its impact on markets, our lives, and everything in between. About TEDx, x = independently organized event In the spirit of ideas worth spreading, TEDx is a program of local, self-organized events that bring people together to share a TED-like experience. At a TEDx event, TEDTalks video and live speakers combine to spark deep discussion and connection in a small group. These local, self-organized events are branded TEDx, where x = independently organized TED event. The TED Conference provides general guidance for the TEDx program, but individual TEDx events are self-organized.

Comments

1. 73% of trades are automated (yes) but 27% od the other trades represent much more in terms of money. Most of high-frequency systems don't make consistent money. Strong quantitative systems are simple and robust models that have a holding period of over 10 days!
2. ...."latency" & where are you going.... nowhere fast, time..... prices will always oscillate :-)
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5. Nonsense ! The only truth to what he is saying is that 73% of the volume does come from algos but that is just on the penny level. Its the market makers algos providing liquidity between the bid ask spread. All that means is that your fills might not be as good as they use to be. Algos can not move a market very far only a few pennies at best. If you want to learn to trade click on my channel and I will show you that algos do not matter at all. I beat them every day.
6. Funny how man made money and technology , now they fear both so much . Either humans are getting dumber or we are going mental .
7. Poor presentation and no valuable facts nor details. Better see Sean Gourley TEDex on machine trading instead.
8. it doesn't seem like the speaker has any experience working in finance, based on his resume on the internet.
   
   He did write a book on the subject I guess.
9. The 73% statistic is misleading. Let's not forget this is high-frequency trading, so of course there are going to be more trades made by these servers than by human traders.
10. absolutely of no value to society, 0 value add.. as most of banking is anyway.. useless people
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14. Markets are still markets, humans still write these algos. The only advantage is speed, but soon everyone will be able to access the same speed as these firms do.
15. I've been looking around and I haven't found much about algo based trading. would any of you guys know how to learn it? or have any references that would help me to do so?
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17. but remember the way in which the algorithms work together or rather the dynamic complex system that these algorithms create together, each and everyone being complex themselves and designed by an independent institution. Modern science, chaos theory and complexity theory, is still wrestling with a way to describe the simplest natural chaotic systems and how to predict their movements. The task to understand how the markets work in regards to these algorithms is still far beyond our reach...
18. Latency exists at multiple layers. Network latency is reduced by co-location. But you could still have computational latency. And, if, for example, your application is written in a high level language, you could have latency caused by inefficiency in your compiler.
19. Started good. Very weak ending... Talk implies the root problem might be systemic financial conflicts from a fpr-profit exchange .but doesnt examine this in detail
20. I agree with you. And he made some mistakes there. He said a microsecond later the price went back to normal. Its false. It was not a 1 microsecond later. or even 1 milisecond later. it took some time Also he talks to the algos like this: "My algos".