Oh really? Well, that is fantastic for him. http://www.youtube.com/watch?v=Af2rvOlj9UU&list=TLdtb2v_jT08cWTtKOtqvXos4PlUSqetF7 On Mon, Feb 3, 2014 at 5:21 PM, Ryan Williams <ryan820509@xxxxxxxxx> wrote: > Ragna commented on one of the DBZ HD tourney vids, saying he could easily > have won the tournament as he used to play the game regularly *lol* > > > On Mon, Feb 3, 2014 at 5:05 PM, Ilitirit Sama <ilitirit@xxxxxxxxx> wrote: > >> http://www.cs.utexas.edu/~pstone/Papers/bib2html/b2hd-GECCO06-trading.html >> >> Forgot to mention this interesting bit of research: >> http://www.nature.com/srep/2013/130425/srep01684/full/srep01684.html >> >> tl;dr: The higher the number of searches for specific financial terms >> via Google Trends, the greater the prediction of a stock market crash. >> >> >> >> On Mon, Feb 3, 2014 at 3:52 PM, G B <sigma.g19@xxxxxxxxx> wrote: >> >>> Never heard of Peter Stone. Can you send me the title of the article or >>> the pdf? I'd love to read it. >>> >>> The reason why its frequently mentioned/used within the Hedge Fund >>> industry is due to how rapidly HFs change, as can be seen in the quant >>> meltdown of 2007 (In three days, you could've made R1 turn into R500, if >>> you were at the right place at the right time). Testing for adaption here >>> is extremely interesting, and saves you years of work. HFs is also the >>> canary in the coal mine in world of finance. >>> >>> You are spot on with the over-fitting issue. :-) I corrected this when I >>> implemented mine. When using fundamental analysis, they'd implement like, >>> 15 different fundamental metrics, of which maybe 4 or 5 have any statical >>> significance. In fact, certain researchers went to the extent of running a >>> GA to select the variables for "best-fit" first... which is akin to >>> data-mining in the sense that they are finding the best variables that fit >>> with the given data BEFORE running the algorithm. >>> >>> And yes, the evolutionary algorithm is trained using a data-base first, >>> before it goes live. Typically, the GA selects the variables and the ANN is >>> what does all the decision making. Having the computer decide what it >>> should do for both is unwise, or at least, I think so. >>> >>> Like I said, you put garbage in, you going to get garbage out, that is >>> how it works with these black box machines, so yeah, people have used GA's >>> before, but like we both mentioned, how you program it and I would is >>> totally different, which means it would learn differently, just as we do. >>> >>> You also mentioned "Buy-Low/Sell-High" when there are economic shocks, >>> which is a great strategy, sure, but stock prices will adjust accordingly >>> anyway, so while they may be cheaper than usual, they won't necessarily be >>> mispriced, which is what I'm interested in. I can't always wait for some >>> kind of external economic movement to make money. >>> >>> As you've said, I don't want to match the market at all, else I'd go >>> passive. Stocks are priced at the value that the market values it at and >>> those are often subjective prices, more often than not.If I had a basic >>> program to initiate buy/sell commands based on whether a stock falls >>> below/above a certain price and expect it to earn money, I'd be a >>> billionaire by now. >>> >>> >>> On Mon, Feb 3, 2014 at 2:29 PM, Ilitirit Sama <ilitirit@xxxxxxxxx>wrote: >>> >>>> @GB >>>> >>>> I did some reading up on using GA against the stock market. It seems >>>> some Hedge Funds use them already, but most of these funds are already >>>> defunct (probably not because of the use of GAs though). Was that paper >>>> you mentioned by Peter Stone? It answers a lot of the questions I had. It >>>> seems the evolution of the ANN happens way before the data is run on live >>>> data. Stock Market GAs also tend to suffer from "over-fitting", which is >>>> something I also mentioned. They try to adjust to past performance in >>>> order to generate an expected result. However, most GAs don't take into >>>> account random fluctuations in the result, so they fail miserably when they >>>> try to derive patterns from the data. The best they can do is to try to >>>> match the curve, which of course is very bad. >>>> >>>> >>>> >>>> On Mon, Feb 3, 2014 at 2:19 PM, Ilitirit Sama <ilitirit@xxxxxxxxx>wrote: >>>> >>>>> He needs to confirm the subscription. The link should be at the >>>>> bottom of any of the admins' messages. Give me his email address. >>>>> >>>>> >>>>> On Mon, Feb 3, 2014 at 2:03 PM, lindsey kiviets <lindseyak@xxxxxxxxxxx >>>>> > wrote: >>>>> >>>>>> lol, >>>>>> >>>>>> @ilitrit , gimme th fgc link again please.i added Hilton myself , and >>>>>> it seems he is not added to the mails. >>>>>> >>>>>> ------------------------------ >>>>>> Date: Mon, 3 Feb 2014 13:59:14 +0200 >>>>>> >>>>>> Subject: Re: [CPT-FGC] Re: Hi >>>>>> From: ryan820509@xxxxxxxxx >>>>>> To: cpt-fgc@xxxxxxxxxxxxx >>>>>> >>>>>> >>>>>> *lol* Guys will just have to put their cellphones where I can see em, >>>>>> or else :P Scumbaggery at it's finest :P >>>>>> >>>>>> I'm busy editing the vids. Will start uploading soon :) >>>>>> >>>>>> >>>>>> On Mon, Feb 3, 2014 at 1:55 PM, Ashraf Barendse < >>>>>> ashraf.barendse@xxxxxxxxx> wrote: >>>>>> >>>>>> The first rule of Random FG club is... >>>>>> >>>>>> Gohan is a charge character. I know this because LB knows this. >>>>>> >>>>>> ========================================================================= >>>>>> You are subscribed to the Cape Town Fighting Game Community mailing >>>>>> list. >>>>>> >>>>>> //www.freelists.org/list/cpt-fgc >>>>>> >>>>>> >>>>>> >>>>> >>>> >>> >> >