Devavrat shah bitcoin mining

But to graze with the cattles is another. By taking part in the experiment the outcome over time is not predictable. You add an element to the unpredictability. There is indeed nothing new with this approach: I used it back in when trading on the interest rate futures for a French bank, then a Houston-based Commodity trading advisor. The returns were good. Am I missing something? It appears these guys didn't actually trade anything.

So these results mean nothing. My algorithm did 80x over 6 months and I'm an undergrad working alone Bayesian regression was used 25 years ago to predict stock returns with no great success. The problem is data-mining bias, which the authors do not address. They select the best performing models without a correction for multiple comparisons. Obviously, the best model did well but many other models failed. The problem is which model to use forward. Add friction and you get a negative result.

Let the algorithm wars commence! If you want to make money, find an unsophisticated place and start a smart war. The algorithm that evolves the quickest wins. Long-Term Capital Management rev 2. Taleb has written extensively on the errors of this general approach. Interesting how people are attracted to the idea of getting money without producing anything of value. If you give me the ton of money that those guys got to produce such a crappy paper, I will debunk it and explain everything that is wrong with this They would have done better to simply buy at the start and sell at the end.

This is all over fitted. These sort of papers are worth less than the paper to print them. It is a shame that prestigious institutions such as MIT allow to publish such a rubbish. I am in the business of automated trading since years and papers showing such results are seldom reproducible. Authors claiming such a performance should either a provide access to code and data to make their experiments reproducible after all this is science , or b stop working in academia and start their hedge fund.

Those not acting according to a or b are charlatans, see http: Note that someone tried to reproduce the results of the paper here: The heavy math needs the manually picked-up clusters to work Vipin Narang on the North Korea summits New theory describes intricacies of a splashing droplet Understanding the proton's weak side.

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Courtesy of the researchers. Comments Kenneth October 21, How do I give you my money? And how will it get it back if it is a success? YOP October 21, By taking part in the experiment the outcome over time is not predictable. You add an element to the unpredictability. There is indeed nothing new with this approach: I used it back in when trading on the interest rate futures for a French bank, then a Houston-based Commodity trading advisor. The returns were good. Am I missing something?

It appears these guys didn't actually trade anything. So these results mean nothing. My algorithm did 80x over 6 months and I'm an undergrad working alone Bayesian regression was used 25 years ago to predict stock returns with no great success.

The problem is data-mining bias, which the authors do not address. They select the best performing models without a correction for multiple comparisons. Obviously, the best model did well but many other models failed.

The problem is which model to use forward. Add friction and you get a negative result. Let the algorithm wars commence! If you want to make money, find an unsophisticated place and start a smart war. The algorithm that evolves the quickest wins. Long-Term Capital Management rev 2. Taleb has written extensively on the errors of this general approach.

Interesting how people are attracted to the idea of getting money without producing anything of value. If you give me the ton of money that those guys got to produce such a crappy paper, I will debunk it and explain everything that is wrong with this They would have done better to simply buy at the start and sell at the end.

This is all over fitted. These sort of papers are worth less than the paper to print them. It is a shame that prestigious institutions such as MIT allow to publish such a rubbish.

I am in the business of automated trading since years and papers showing such results are seldom reproducible. Authors claiming such a performance should either a provide access to code and data to make their experiments reproducible after all this is science , or b stop working in academia and start their hedge fund. Those not acting according to a or b are charlatans, see http: Note that someone tried to reproduce the results of the paper here: The heavy math needs the manually picked-up clusters to work Vipin Narang on the North Korea summits New theory describes intricacies of a splashing droplet.

Protecting confidentiality in genomic studies Self-driving cars for country roads Building AI systems that make fair decisions Vinod Vaikuntanathan wins Edgerton Faculty Award.

On alien typos and self-care, in conversation with Seth Meyers What will we eat in the year ? Seven lessons from Dropbox. Searching for materials that collect and store energy 3Q: People power 3 Questions: Taking a leap in bioinspired robotics The tenured engineers of Bound for robotic glory. Using data science to improve public policy Helping Mexico design an effective climate policy Clearing the air Clearing the Old Smoke.

Courtesy of the researchers. Comments Kenneth October 21, How do I give you my money? And how will it get it back if it is a success? YOP October 21, Dominik Z October 21, I'm happy to give you my money to invest haha.