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Turing Finance | July 16, 2017

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Algorithmic Trading Archives - Turing Finance

Algorithmic Trading

Regression analysis using Python

June 7, 2014 | | 16 Comments

This tutorial covers regression analysis using the Python StatsModels package with Quandl integration. For motivational purposes, here is what we are working towards: a regression analysis program which receives multiple data-set names from Quandl.com, automatically downloads the data, analyses it, and plots the results ... Read More

10 misconceptions about Neural Networks

May 8, 2014 | | 51 Comments

Neural networks are one of the most popular and powerful classes of machine learning algorithms. In quantitative finance neural networks are often used for time-series forecasting, constructing proprietary indicators, algorithmic trading, securities classification and credit risk modelling. They ... Read More

Computational Decision Making Methods

February 13, 2014 | | One Comment

Artificial intelligence is broadly defined as the ability of an agent or a model to make either optimal or satisficing decisions. Decision-making in this context is a process which culminates in the selection of a particular course of ... Read More

Algorithmic Trading System Architecture

November 6, 2013 | | 15 Comments

Previously on this blog I have written about the conceptual architecture of an intelligent algorithmic trading system as well as the functional and non-functional requirements of a production algorithmic trading system. Since then I have designed a system architecture ... Read More

Algorithmic Trading System Requirements

October 6, 2013 | | 5 Comments

Currently I am taking a class about software architectures. For this class each student chooses a system, defines its architectural requirements, and designs a solution capable of satisfying those requirements. I chose an algorithmic trading system because of ... Read More

Intelligent Algorithmic Trading Systems

July 7, 2013 | | 7 Comments

Algorithmic trading is the use of computer algorithms to automatically make trading decisions, submit orders, and manage those orders after submission. Algorithmic trading systems are best understood using a simple conceptual architecture consisting of three components which handle different ... Read More