PyAlgoTrade is a Python Algorithmic Trading Library with focus on backtesting and support for paper-trading and live-trading. Let’s say you have an idea for a trading strategy and you’d like to evaluate it with historical data and see how it behaves. PyAlgoTrade allows you to do so with minimal effort.
And we have Trading with Python by Jev Kuznetsov
Just the tip of the iceburg. All of these neat sites and now we have Bitcoin style structured block chain. So, I think the market is going exactly where we expect, especially with ethereum surviving their blunder and Lending Tree surviving.
I am hesitate to write a lot of code here since I expect the pros will knock this thing out with perfection.
Quantopian has the right idea, but they have m no framework. It assumes that traders in remote locations download the pit data and start from scratch. No, we are going to change this. Their algorithms become launchable bots and they operate in the pit,at the trading site.
Just the tip of the iceburg. All of these neat sites and now we have Bitcoin style structured block chain. So, I think the market is going exactly where we expect, especially with ethereum surviving their blunder and Lending Tree surviving.
I am hesitate to write a lot of code here since I expect the pros will knock this thing out with perfection.
Quantopian has the right idea, but they have m no framework. It assumes that traders in remote locations download the pit data and start from scratch. No, we are going to change this. Their algorithms become launchable bots and they operate in the pit,at the trading site.
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