#HNG DN CODE AMIBROKER CODE#
Here Iam going to demonstate the AFL code by Bruce Peterson on Integrating Amibroker with Python using IIR Filter example. Intetrating Amibroker with Python COM Sever
#HNG DN CODE AMIBROKER INSTALL#
If you would like to know more about python COM server then access this python COM server tutorial for better explanationġ)Download Python 2.7 Version for Windows and Install Python2.7Ģ)Set the Environmental Variable,Now Goto Start-> My Computer ->Right Click and Select Properties-> Advance Settings ->Goto Advance Tab and in System Variable enter the Variable Name : PYTHONPATH and variable value C:\Python27\Lib C:\Python27\DLLs C:\Python27\Lib\lib-tk The Python COM Server communicates with the Amibroker OLE object for interprocess communication as shown below. Using Python COM we can create a interface between Amibroker and Python where Amibroker passes the variable and the complex computation is done with the help of python programming. So if we are able to Integrate Amibroker with Python then probably it is like creating a gateway towards accessing complex mathematical models in AmibrokerĬOM (Component Object model) is used to enable interprocess communication and dynamic object creation in a large range of programming languages. You can google more to know about these statistical packages. Some of the third party modules use to build complex stuff are numPy,sciPy,pandas. Python is a open source language similar to C,C++ and it has tons of open source their party modules for financial computings and implementing statistical models. However we can still build complex mathematical models with the help of Python.
To Create Complex Trading Systems we need to have a complex mathematical models and designing a highly complex mathematical models in amibroker is not so easy. Author of Marketcalls.in and Co-Creator of Algomojo (Algorithmic Trading Platform for DIY Traders) Integrating Amibroker with Python COM Server Writing about Markets, Trading System Design, Market Sentiment, Trading Softwares & Trading Nuances since 2007 onwards. Strongly believe that market understanding and robust trading frameworks are the key to the trading success. Designed and published 100+ open source trading systems on various trading tools. Using Market Profile and Orderflow for more than a decade. Mostly Trading Nifty, Banknifty, USDINR and High Liquid Stock Derivatives.
Rajandran R Follow Telecom Engineer turned Full-time Derivative Trader.
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