From time to time, I'm going to drop tips and tricks for what I've learned while using Python for trading and analysis. This will not be a frequently updated journal. And heck, some of it will be just intermediate programming tips when it comes to using Python. But I'll mention the things that I've discovered to be useful as I go.. This will not be "programming 101", or any basic introduction to Python. That means if you don't already know the basics, this thread might be of little use to you. I also won't be providing complete applications here... actually, maybe the odd simple program as they come up, but in general I'm more interested in talking about the tools used to build out applications than to provide and support apps for others. Most of the applications I've written so far are based on equity markets. However, a lot of this can be applied to trading forex (or any other market for that matter.) Since Oanda just released their REST API, I will try to give examples that utilize it when appropriate. I'll try to provide examples that will work on Python 3.0, but my target is always going to be Python 2.7 given it has the most 3rd party libraries available and has the most example code floating around the net. Lastly, while I can't imagine this being a problem, most of my coding is targeted to run on both Linux and Windows, so sometimes there might be Windows specific elements to them, but with the basics and stuff I'll write about first this shouldn't even be apparent. Also, I have another journal for algo trading on MT4.. which I admit is a bit stale. If anything that comes up could be applied to MT4, I'll post it there. This thread specifically is about Python and trading. I'd like to mention that I'm not a professional programmer. I learned on my own over the years and expanded upon my scripting experience back in my IT days. I invite any seasoned programmer to correct, or otherwise show me more efficient ways of accomplishing stuff I write about. And on that note, I obviously do not provide any warranty to anything you find written here. Back soon with the first installments.