(If you already have an account, login at the top of the page)

futures io is the largest futures trading community on the planet, with over 100,000 members. At futures io, our goal has always been and always will be to create a friendly, positive, forward-thinking community where members can openly share and discuss everything the world of trading has to offer. The community is one of the friendliest you will find on any subject, with members going out of their way to help others. Some of the primary differences between futures io and other trading sites revolve around the standards of our community. Those standards include a code of conduct for our members, as well as extremely high standards that govern which partners we do business with, and which products or services we recommend to our members.

At futures io, our focus is on quality education. No hype, gimmicks, or secret sauce. The truth is: trading is hard. To succeed, you need to surround yourself with the right support system, educational content, and trading mentors – all of which you can find on futures io, utilizing our social trading environment.

With futures io, you can find honest trading reviews on brokers, trading rooms, indicator packages, trading strategies, and much more. Our trading review process is highly moderated to ensure that only genuine users are allowed, so you don’t need to worry about fake reviews.

We are fundamentally different than most other trading sites:

We are here to help. Just let us know what you need.

We work extremely hard to keep things positive in our community.

We do not tolerate rude behavior, trolling, or vendors advertising in posts.

We firmly believe in and encourage sharing. The holy grail is within you, we can help you find it.

We expect our members to participate and become a part of the community. Help yourself by helping others.

You'll need to register in order to view the content of the threads and start contributing to our community. It's free and simple.

Quick Summary is created and edited by users like you... Add FAQ's, Links and other Relevant Information by clicking the edit button in the lower right hand corner of this message.

"Successful trading is one long journey, not a destination" Peter Borish Former Head of Research for Paul Tudor Jones speaking on conversations with John F. Carter

I was in the academic world for a few years and now work in finance services (yep another math guy in finance) and have been trying to learn more about the most interesting parts of my job, i.e. seeing the price time series and wondering about patterns, correlations, etc. I always prefer the mathematical perspective when I look at a time series instead of these traders that use their own built in pattern recognition .

My background is in applied math where I spent most of my graduate studies in signal processing/machine learning. I have my M.S. but no Ph.D yet (working on it part time since I need to pay the bills and not sure if I want to finish at this point). I also worked with a finance professional for awhile and helped him with programming items mainly. It was sort of the beginning of my foray into the finance world which lately I have been finding more and more interesting. Anyway, I've been looking into the field and was just wondering about an insider's perspective. I'll definitely check out those books/links so thanks for that.

Last edited by Antisyzygy; July 14th, 2012 at 11:44 PM.
Reason: Added some stuff

The following 2 users say Thank You to Antisyzygy for this post:

Thanks for your insightful posts Artemiso. Do you also happen to know which books on mathematics are helpful for retail traders who don't have a mathematics background but nonetheless still want to incorporate some more quantitative subjects in their trading? In other words, what mathematical concepts should we learn to better understand quantitative models?

The following user says Thank You to Jura for this post:

Applied mathematicians say the same thing about the theoretical ones sometimes, and the theoretical math and many applied people say that physicists are too "loose" with their calculations. There is also some distinction based on what type of "mathematician" are you--Are you an algebraist or a analyst? Analysts would have the error bounds, etc. whereas algebraists would be focused on definite terms. Of course then there's hybrids of both and those silly topologists, but I digress.

Terence Tao said this "Algebra prizes structure, symmetry, and exact formulae; analysis prizes smoothness, stability, and estimates." Most theoretical mathematics majors would have more curriculum from the algebra side, though you can't really get through undergraduate school without taking some form of basic real analysis and algebra courses (like linear algebra). Most theoretical math curricula would include a serious helping of abstract algebra, whereas applied math would be more along the lines of numerical analysis which is all about error estimates. My thing has always been applied math because my interests are sort of a combination of electrical engineering and mathematics. I just stuck to math because I kept putting off EE courses to take something like Dynamics & Chaos which was offered less frequently. All of my core course work was in applied topics like PDE's for engineering, numerical analysis, etc.

Anyway, thanks for the information. Next pay check I'm picking up that first book.

As far as the PhD thing, its just getting to the point where I am sick of coursework, especially since I have to work full time. I'd rather learn things on my own and I am at the point where that is possible. I keep holding out on it because I am so close to finishing, but I'm still 28 years old and way behind some of my peers who went to work right out of undergrad. I have all the credits I need for my PhD except something called "readings" courses and dissertation credits. Of course I still need to take all the comprehensive examinations as well. I already have a pretty strong programming background but I have been wanting to take some time to really focus on developing more skills in that area, and graduate school right now seems to be getting in the way of that as the work load is quite a lot when one also works full time.

Last edited by Antisyzygy; July 23rd, 2012 at 11:17 AM.

The following user says Thank You to Antisyzygy for this post:

FYI : Kuznetsov's book "The Complete Guide to Capital Markets for Quantitative Professionals" is great. The historical background of the markets and outline of what the major players do and how they make money at the beginning is worth the purchase of the book IMO. I haven't finished it yet but so far it's been very good to fill in gaps in my knowledge.

Thanks!

The following user says Thank You to Antisyzygy for this post: