Earlier quoted context omitted.
Few years back, SEC started being very agressive about finding entities making above average returns; my understanding is that if over a set amount of transactions you're making over 30% that you will get "knocked" and the auditors have zero reason not to leak the information. Best example I know is the Walmart parking lot satellite imagery analysis; happy to dig up a link.
I'd love a link as well as additional examples, if you can think of any.
Machine learning for financial prediction
21–30 of 84 posts
Re: Machine learning for financial prediction
#22Earlier quoted context omitted.
This is exactly true. I had the pleasure of having a very short sit down with one of the world's most successful traders and he said this in not so many words. It was more subtle than inside information. He implied that he could actually influence the outcome and hurried me on from that point. Mind blown.
Sounds like Billions is not that far off...
Re: Machine learning for financial prediction
#23Re: Machine learning for financial prediction
#24Earlier quoted context omitted.
Using insider information is illegal. If you mean insider information then this is total nonsense. Sure, there are a few that do illegal things (and inevitably get caught since there is so much monitoring going on).
Exactly, when I heard drugs usage was a problem in some communities I too knew that was impossible because selling and using drugs is illegal. Sure, there are a few that do illegal things (and inevitably get caught since there is so much monitoring going on).
Re: Machine learning for financial prediction
#25Earlier quoted context omitted.
I'd love a link as well as additional examples, if you can think of any.
Googling "walmart parking lot analysis" yielded the following as the first result. http://www.cnbc.com/id/38722872
Re: Machine learning for financial prediction
#26Really successful traders spend their obtaining insider information, not massaging public data. It stands to reason that an ensemble of technical trading methods would regress towards the mean.
Nik Cubrilovic recently demonstrated how information leakage can be used to trade stocks, eg estimating the growth rate of the Adobe Creative Cloud customer base based on assigned customer ID numbers, before Adobe announced the figures themselves:
http://www.itnews.com.au/news/how-an-aussie-hacker-used-info...
Re: Machine learning for financial prediction
#27Anyone know where he got all the raw data to feed his algo? Clearly he used a lot of data and the two main sources of free info i know of are google finance and yahoo finance. At least with google finance i run into issues with their api if you execute too many calls simultaneously, a bunch end up not returning any data
They have a free, community, curated data set of ~3200 stocks.
Re: Machine learning for financial prediction
#28There are a few problems with turning your laptop into a money machine using data analysis. Remember the maxim, past performance is not a guarantee of future results. You can develop strategies based on past data that will beat the market, but, the nature of markets is to adapt to kill your edge. Markets adapt constantly and your edge stops working at an unknown point in time. It's unknowable when that WILL happen be…
If you are a low volume, small time trader, the market isn't going to move as quickly to adapt to you. If you have $100,000, for example, and return 30% a year, you aren't on anyone's radar.
Re: Machine learning for financial prediction
#29There are a few problems with turning your laptop into a money machine using data analysis. Remember the maxim, past performance is not a guarantee of future results. You can develop strategies based on past data that will beat the market, but, the nature of markets is to adapt to kill your edge. Markets adapt constantly and your edge stops working at an unknown point in time. It's unknowable when that WILL happen be…
"nature of markets is to adapt to kill your edge" If you are a low volume, small time trader, the market isn't going to move as quickly to adapt to you. If you have $100,000, for example, and return 30% a year, you aren't on anyone's radar.
Re: Machine learning for financial prediction
#30Earlier quoted context omitted.
"nature of markets is to adapt to kill your edge" If you are a low volume, small time trader, the market isn't going to move as quickly to adapt to you. If you have $100,000, for example, and return 30% a year, you aren't on anyone's radar.
Provided you're the only one trading your strategy, which is unlikely.
http://www.fool.com/investing/general/2014/02/09/this-man-ma...
https://en.m.wikipedia.org/wiki/Renaissance_Technologies
Yes, you have to adapt but these guys play with billions.