What tools do you prefer to use for algorithmic trading and why?

Question

Programming

Interested not so much in programming languages ​​as in frameworks or constructors for creating and testing trading strategies (robots).
I have successful experience working on QPILE, QLUA, TSLab.
CoFiTe, RobotLab - did not take root, complex structure and long development. Refused to use them.
Tradematic - also did not become my main tool. But I think to take a closer look at it.
WealthLab is a powerful tool, but it comes at a cost.
Which tool do you think is developing more dynamically than others? Who is the future of algorithmic trading?

Answer 1

My practice shows that as soon as hardcore programmers come, they start using more general-purpose frameworks, bending over everyone else who uses these "highly specialized frameworks".
So I have no doubt that the future in algorithmic trading lies with frameworks like Spark, Storm, etc., and of course, with languages ​​like Scala, Java, C++.
I definitely prefer to use such tools.

Answer 2

What's the difference?
Here all the same depends on the algorithm and not the tool.

Answer 3

StockSharp.ru - effective libraries and tools.

Answer 4

I use Python, Matlab, R, Java.
If you read, you can here www.decal.org/file/2945. No English anywhere.

Answer 5

For machine learning I use this library: leenissen.dk/fann/wp