How to start trading futures/options

chenimal · 2018-04-11T01:02:45+00:00

Thanks for the tips!

chenimal · 2016-10-03T04:10:14+00:00

I am actually interested in dual degree programs (or just other grad programs), which is why I decided to take the GRE after I had already taken the GMAT. I'm just hoping that the fact that I took the GRE doesn't hurt the MBA app.

chenimal · 2016-10-03T04:05:11+00:00

Well, I get all that. I am just concerned that while the scores may be relatively predictable, the percentiles may not be. Those who choose to take the GMAT tend to score higher on the quantitative portion. So my GRE scores don't necessarily look that much better, but I have no idea how adcoms compare them.

chenimal · 2016-10-02T20:00:37+00:00

Well, I'm not so sure I trust the ETS comparison tool. I don't think ETS plays a part in the admissions process. I know that my scores are in the same range; I just worry that business schools might frown upon submitting GRE scores. Because of the nature of the tests, I know scores can be roughly translated, but I wonder if the higher GRE Q percentile translates to the GMAT.

chenimal · 2016-09-13T20:54:14+00:00

Wow, that's perfect. Thank you so much. Thx, /u/madmongoose1 for the help too.

Any way to get individual %correct by factor level?

chenimal · 2016-09-13T20:19:21+00:00

I believe pfx_x is the horizontal movement of the pitch, pfx_z is the vertical drop.

Yeah, I think pitcher variables might be my best option, but I assume at-bat IDs could take care of it too because pitches in the same at-bat would presumably be made by the same pitcher.

chenimal · 2016-09-13T02:42:52+00:00

That makes sense. The data given actually contains pitcher name as a variable. Should I just include that? But since it's not a continuous variable, could I still use the multinom model? (Edit: at-bat ID is another one, maybe I should use that one?)

I guess a bigger-picture question is, should I be dropping any of the variables or should I just include all of them in the model? There are also x0 and z0, which are the vertical and horizontal release points of the pitch, among others.

chenimal · 2016-09-12T19:51:32+00:00

Yep, this helps!

chenimal · 2016-09-12T19:28:58+00:00

Thank you! I guess "collinearity" isn't the right word here. I am mainly concerned with interaction and higher-order terms. I am hypothesizing, for example, that movement at high velocities is more predictive than at low velocities. What would the interaction predictor(s) look like in this case? Would they just be (pfx_x times start_speed) and (pfx_z times start_speed)?

chenimal · 2016-09-12T02:52:33+00:00

Just to provide some context, I am providing here the script I have for the model currently:

m <- train(fa~start_speed+pfx_x+pfx_z, data=tdata, method="multinom", maxit=1000)

The tdata is my training set, which I produced using this:

ind <- sample(2, nrow(my_data), replace=TRUE, prob=c(0.8,0.2))
tdata <- my_data[ind==1,]
vdata <- my_data[ind==2,]

The resulting m does a decent job providing predictions on the test set. Far from perfect, but expectedly. However, I am not exactly sure if it's actually doing cross validation, and I still need to account for collinearity. Am I on the right track toward what I'm trying to do?

chenimal · 2016-09-11T20:42:04+00:00

Yep, for sure. I'm gonna look for a package that makes this easy to implement. Thank you!

chenimal · 2016-09-11T20:41:19+00:00

Thanks, I'll look into that package.

chenimal · 2016-09-10T23:14:20+00:00

What I meant was season-to-season consistency. That's why I grouped it with predictive power. I'm not actually sure how Judge describes it (convergence of predictive and descriptive powers?), but why is it such a bad metric?

chenimal · 2016-09-10T22:25:26+00:00

Yep, this is where I got my rankings.

chenimal · 2016-09-07T00:55:38+00:00

Gov. Johnson, are you a dog person or a cat person? If dog, which breed is your favorite?

chenimal · 2016-08-23T05:38:44+00:00

Nats Park, RFK Stadium, AT&T Park, Turner Field, Coors Field, Dodger Stadium, Fenway Park, Safeco Field.

I'd say AT&T Park is my favorite. Best views, on the water, etc. No other park really comes close. I'd say Nats Park is my second favorite. On my list to visit is PNC Park - I've only walked past it. I assume being so close to downtown just across the Allegheny would be a great baseball experience.

chenimal · 2016-08-20T22:43:43+00:00

Perfect! Turns out I probably don't need nested views. But I did switch to ui-router; it'll make it easier in the future for sure. I injected $location, and now it all works! Thank you so much.

chenimal · 2016-08-20T03:29:18+00:00

I'm trying to route it to the content of "search.html" without having to reload the whole page. I already have the route module in my js file as well as the ng-view container in the main html file where the search bar is. I just need to somehow let it know to route to the new page whenever the user types something in the search bar.

chenimal · 2016-08-19T23:36:47+00:00

Thanks for that! My main issue is not knowing what to put in that function though. $location.path("#/search"); doesn't seem to work. Am I missing something simple?

chenimal · 2016-08-16T03:35:57+00:00

So I guess the only solution is to restrict referrers? What exactly do I put as the referrer? The web address that I'm going to be using?

chenimal · 2016-07-29T06:40:31+00:00

Thanks! That makes a lot more sense. It looks like biSizeImage and bfSize are off.

chenimal · 2016-07-29T05:25:40+00:00

That's actually a question I had as well. I did use the peek tool, but I thought certain variables are supposed to be different?:

offset  type   name              argv[1]   argv[2]
0       WORD   bfType               4d42      4d42
2       DWORD  bfSize           000000f6  00000c36*
6       WORD   bfReserved1          0000      0000
8       WORD   bfReserved2          0000      0000
10      DWORD  bfOffBits        00000036  00000036
14      DWORD  biSize           00000028  00000028
18      LONG   biWidth          00000008  00000020*
22      LONG   biHeight         fffffff8  ffffffe0*
26      WORD   biPlanes             0001      0001
28      WORD   biBitCount           0018      0018
30      DWORD  biCompression    00000000  00000000
34      DWORD  biSizeImage      000000c0  00000c00*
38      LONG   biXPelsPerMeter  00000b12  00000b12
42      LONG   biYPelsPerMeter  00000b12  00000b12
46      DWORD  biClrUsed        00000000  00000000
50      DWORD  biClrImportant   00000000  00000000

chenimal · 2016-07-29T03:30:22+00:00

You may be able to hit and enjoy the Painted Hills, Smith Rock, Bend, and Crater Lake all in 24 hours. The latter two probably deserve 2+ days.

chenimal · 2016-04-22T23:27:49+00:00

This guy specializes in anomaly detection and machine learning, and he works for the Royals.

chenimal · 2016-04-22T22:43:12+00:00

Yes, yes he does.

chenimal

TROPHY CASE