Interactive Brokers Algorithmic trading, IB's Native Python VS Java/C++/C# based algorithmic trading robot/program?

Hiya,

Here in the IB's website, they offer algorithmic trading via multiple languages:

https://www.interactivebrokers.com/en/index.php?f=5041

' Java – Our most popular API technology;

  • C++ (POSIX-compliant);
  • Python*;*
  • .NET (C#) - You can use the C# library with any .NET supported language;
  • C++ (MFC);
  • ActiveX – Integrate our ActiveX control into other programs such as Excel and Matlab;
  • DDE – Use our Excel sample application to get you started, or any DDE-aware program.'

But someone also on the website it's written that only IB's Naive Python is supported fully by IB and the program that is written on that is guaranteed to run/execute more faultlessly than the program that is written on different Python libraries. What about these languages above, Java, C++, C#? Do the programs that are written on Java are executed less reliable than IB's Native Phyton written language programs?

I read the website but for me seems the content is inconsistent? As in the link above its mentioned that Java alongside Phyton can be used and nowhere in the link above is there any information about IB's Native Phyton comparison to e.g. Java-based programs?

May please someone professional she lights on this concept and exactly answers that what is the comparison of IB's Native Python-based programs execution VS Java-based program execution?

Also a guide on how to start with development on IB's Native Phyton alongside Java-based programming for IB's algorithmic trading?

Tnx and best of luck

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TIL Trading Markets are now seeing "Algorithmic harmonics" where high speed trading programs are reacting to EACH OTHER and NOT the Underlying Market.

Al Gore - Chapter 2 - The Future

And that these harmonics lead to trading spikes and CRASHES.

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Society-in-the-Loop - We need to build new tools to enable society to program, debug, and monitor the algorithmic social contract between humans and governance algorithms

This is an automatic summary, original reduced by 84%.


> When you mark an email as "Spam" in Gmail, you are one of many humans in the loop of a complex machine learning algorithm, helping it in its continuous quest to improve email classification as spam or non-spam.

> Society-in-the-Loop of Governance AlgorithmsWhat happens when an AI system does not serve a narrow, well-defined function, but a broad function with wide societal implications? Consider an AI algorithm that controls billions a self-driving cars; or a set of news filtering algorithms that influence the political beliefs and preferences of billions of citizens; or algorithms that mediate the allocation of resources and labor in an entire economy.

> As more and more governance functions get encoded into AI algorithms, we need to create channels between human values and governance algorithms.

> Implementing SITL control in governance algorithms poses a number of difficulties.

> Citizens need means to articulate their expectations to governance algorithms, as they do with human regulators.

> The SITL GapWhy are we not there yet? There has been a flurry of thoughtful treaties on the social and legal challenges posed by the opaque algorithms that permeate and govern our lives.


Summary Source | FAQ | Theory | Feedback | Top five keywords: algorithm^#1 Human^#2 SITL^#3 Society^#4 Governance^#5

Post found in /r/Futurology.

NOTICE: This thread is for discussing the submission topic only. Do not discuss the concept of the autotldr bot here.

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