Thread: userque's Account talk

Originally Posted by clester

Just stumbled on your thread and saw you talking about machine learning. I have gotten interested in that lately and so you got my attention. I'm taking a class on ML on coursera from Stanford. I'm just near the beginning but seem interesting. They use matlab/octave for programming. Lots of matrix algebra so far mixed with a little programing at this point.

What is your background in ML? or AI ? any suggestions where I can go to learn more? I have programming background (C.S. degree years ago) but not professionally. I have done a little in Python. Have you ever used Clojure?

Matlab is very popular and has a ton of libraries/toolkits and a lot of support. Not the most user friendly environment since there's a lot of parameter passing and documentation usually has a lot of short hand.

Im an EE who did a CE track. Most of my coursework was in C, but I've also used matlab, mathcad, assembly and, C++. and I took a SaaS class (ruby on rails) and Android applications class on Coursera/Edx. I use LabVIEW for a living...but I don't think I'd ever recommend labview for datacrunching; it's also got a lot of libraries and it's far more user friendly than matlab, but I'd never consider it efficient relative to other languages, and it's pretty terrible at digital logic/algebraic equations.

Yeah...considered Matlab too. As you suggest, it has a steep learning curve. That's fine, except that it can't double as a general purpose language like Python can. Not to mention it is not Open Source. If I'm going to spend a lot of time getting good at a language, I want it to be able to do a lot...without a lot of effort...relatively speaking.

I've played with Android development...nothing serious.

Do a little research into Python and see what you think...including the Machine Learning and Numbers, etc. packages.

Originally Posted by k0nkuzh0n

Matlab is very popular and has a ton of libraries/toolkits and a lot of support. Not the most user friendly environment since there's a lot of parameter passing and documentation usually has a lot of short hand.

Im an EE who did a CE track. Most of my coursework was in C, but I've also used matlab, mathcad, assembly and, C++. and I took a SaaS class (ruby on rails) and Android applications class on Coursera/Edx. I use LabVIEW for a living...but I don't think I'd ever recommend labview for datacrunching; it's also got a lot of libraries and it's far more user friendly than matlab, but I'd never consider it efficient relative to other languages, and it's pretty terrible at digital logic/algebraic equations.

Machine Learning Competitions

https://www.kaggle.com/competitions

FED Watch:
Fed Watch - CME Group

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[video] The Law of Unintended Consequences

Very interesting. Thanks for sharing.

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Just a little something I've been wanting to mention for months now:

I always follow a system and sell at a loss if the system calls for it. We have to know that every trade won't be a winner. So why sweat a loss? Some become long-term investors...holding on to a losing trade. Others 'double down' at 'better' prices. Developing and FOLLOWING a system that one is comfortable with really helps.

If I ever get felted, it'll be because I traded poorly--until the bitter end; not because I became an investor to avoid selling at a loss, and ultimately, watched a stock fall until it was delisted, etc.

One can hold on to a losing trade for a year to finally and proudly exit at a profit. However, I believe it would have been more profitable to take the loss a year ago and trade for that whole year rather than leaving money tied up in a losing trade. This concepts escapes a lot of folks, strangely.

All of this, of course, assumes the use of a system that works. One shouldn't be trading unless their system has shown to be a working one--either through paper trading or proper backtesting.

Finally, regarding 'doubling' down:

Martingale Systems and Why They Dont Work In Stock Trading

It was initially developed for games like roulette, where there can be an equal chance of winning and losing. It can be used for other games with similar 50-50 chances and also can be modified for stock trading.


Consider a case of a coin toss, in which you have to correctly guess the result to win. You can either lose all the money that you bet, or double it, if your guess is right.


Your chance of a right guess are 1 in 2; or 50%.


In the Martingale system, the player doubles his bet every time he loses.

If a system gives another buy signal after the initial trade lost ground, is it then ok to 'double' down?

Depends upon your money management scheme. One would be 'doubling' their exposure and risk...so...maybe.

...IMO

Good luck during these rough waters!


______________________
Disclaimer: I am far from an expert!

Nice post on trading discipline.

Originally Posted by userque

If I ever get felted

That's good. It's a poker term to me - but is it also used for other endeavors where you lose "the lot?"