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Beginner's Guide - Automated Trading with Python

Globally, Algo Traders and researchers in Quant are extensively using Python for prototyping, backtesting, building their proprietary risk and order management system as well as in optimisation of testing modules.
This blog post highlights some of the key steps involved in Algorithmic Trading using Python as the programming language.

Free Session

How Algos performed during the recent market events such as #Brexit
Date: 19th July, 2016, Tuesday

Development of Cloud-based Automated Trading System with Machine Learning

This article is a final project submitted by the authors as a part of their course work in Executive Programme in Algorithmic Trading at QuantInsti. The scope of the project is developing a fully cloud-based automated trading system that would leverage on simple, fast mean-reverting or trend-following execution algorithms and call on Machine learning technology to switch between these.

Quantified News
Analytics

Important news can result in large positive or negative returns. However, owing to many news sources, we need to ask a fundamental question: Is news analytics profitable in every situation or are there some pitfalls that need to be avoided?

Volatility & Measures of Risk adjusted Return with Python

In this post we see how to compute historical volatility in python, and the different measures of risk-adjusted return based on it.
We have also provided the python codes for these measures which might be of help to the readers.

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