539 search results for "trading"

Machine Learning Examples in R

February 12, 2012
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Machine Learning Examples in R

This is a post that has been a long time in the making. Following on from the excellent Stanford Machine Learning Course I have made examples of the main algorithms covered in R.We have Linear RegressionFollowed by Neural NetworksAnd Support ...

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piecewise regression

February 11, 2012
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piecewise regression

A beta of a stock generally means its relation with the market, how many percent move we should expect from the stock when the market moves one percent. Market, being a somewhat vague notion is approximated here, as usual, using … Continue reading →

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MINE: Maximal Information-based NonParametric Exploration

February 1, 2012
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MINE: Maximal Information-based NonParametric Exploration

There was a lot of buzz in the blogosphere as well as the science community about a new family of algorithms that are able to find non-linear relationships over extremely large fields of data. What makes it particularly useful is that the measure(s) it...

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It is "simply" the average value

January 24, 2012
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It is "simply" the average value

for some obscure reasons, simple things are usually supposed to be simple. Recently, on the internet, I saw a lot of posts on the "average time in which you hold a stock", and two rather different values are mentioned "Take any stock in the United ...

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Time Based Arbitrage Opportunities in Tick Data

January 17, 2012
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Time Based Arbitrage Opportunities in Tick Data

I recently posted an introduction to the Kaggle Algorithmic Trading Challenge, which I competed in.I said that I would post about my experiences, and this is hopefully the first of a series. We were given tick data from the London Stock Exchange(speci...

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Time Based Arbitrage Opportunities in Tick Data

January 17, 2012
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Time Based Arbitrage Opportunities in Tick Data

I recently posted an introduction to the Kaggle Algorithmic Trading Challenge, which I competed in.I said that I would post about my experiences, and this is hopefully the first of a series. We were given tick data from the London Stock Exchange(specifically, the FTSE 100) over random time intervals during parts of 37 days. Each data row...

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R-Code Yahoo Finance Data Loading

January 17, 2012
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Quantitative Finance, Technical Trading & Analysis. Fotis Papailias, Dimitrios Thomakos Fotis Quantitative Finance & Technical Trading R-Code Yahoo Finance Data LoadingHere is an R script that downloads Yahoo Finance Data without the need of additional packages/libraries. In the .zip file is the code with an example on how to use it. Download the code here: You can also...

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Installing quantstrat from R-forge and source

January 10, 2012
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R is used extensively in the financial industry; many of my recent clients have been working in or developing products for the financial sector. Some common applications are to use R to analyze market data and evaluate quantitative trading strategies. ...

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Installing quantstrat from R-forge and source

January 10, 2012
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Installing quantstrat from R-forge and source

R is used extensively in the financial industry; many of my recent clients have been working in or developing products for the financial sector. Some common applications are to use R to analyze market data and evaluate quantitative trading strategies. Custom solutions are almost always the best way to do this, but the quantstrat package The post Installing...

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The top 7 portfolio optimization problems

January 5, 2012
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The top 7 portfolio optimization problems

Stumbling blocks on the trek from theory to practical optimization in fund management. Problem 1: portfolio optimization is too hard If you are using a spreadsheet, then this is indeed a problem. Spreadsheets are dangerous when given a complex task.  Portfolio optimization qualifies as complex in this context (complex in data requirements). If you are … Continue reading...

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