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Quants PortalA central location for Quantitative Trading
http://www.quantsportal.com/
A central location for Quantitative Trading
http://www.quantsportal.com/
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https://quantsportal.com
A central location for Quantitative Trading
Twitter Trading – Downloading Tweets Using Python (Part 2 of 2) | Gekko Quant – Quantitative Trading
http://gekkoquant.com/2012/05/19/twitter-trading-downloading-tweets-using-python-part-2-of-2
Gekko Quant Quantitative Trading. Quantitative Trading, Statistical Arbitrage, Machine Learning and Binary Options. Skip to primary content. Skip to secondary content. Twitter Trading Downloading Tweets Using Python (Part 2 of 2). May 19, 2012. Previously in Part 1. Code was produced to use tweetstream and download tweets in real time, this part of the series will look at how to store these tweets for future analysis. The tweets will be saved into SqliteDB ( http:/ www.sqlite.org/download.html. 1 twitter...
February | 2015 | Gekko Quant – Quantitative Trading
http://gekkoquant.com/2015/02
Gekko Quant Quantitative Trading. Quantitative Trading, Statistical Arbitrage, Machine Learning and Binary Options. Skip to primary content. Skip to secondary content. Monthly Archives: February 2015. Hidden Markov Models – Trend Following – Part 4 of 4. February 1, 2015. Part 3 of this series demonstrated how to train a HMM on a toy model, this post will focus on how to actually go about modelling real life data. A trend following strategy will be developed for trading the S&P 500. One of the excellent ...
Hidden Markov Models – Forward & Viterbi Algorithm Part 2 of 4 | Gekko Quant – Quantitative Trading
http://gekkoquant.com/2014/05/26/hidden-markov-models-forward-viterbi-algorithm-part-2-of-4
Gekko Quant Quantitative Trading. Quantitative Trading, Statistical Arbitrage, Machine Learning and Binary Options. Skip to primary content. Skip to secondary content. Hidden Markov Models Forward & Viterbi Algorithm Part 2 of 4. May 26, 2014. In the previous post the Hidden Markov Model. The forward algorithm calculates the likelihood of the data given the model over all possible. The Viterbi algorithm calculates the likelihood of the data given the model over the single most likely. It is defined as:.
Hidden Markov Models – Examples In R – Part 3 of 4 | Gekko Quant – Quantitative Trading
http://gekkoquant.com/2014/09/07/hidden-markov-models-examples-in-r-part-3-of-4
Gekko Quant Quantitative Trading. Quantitative Trading, Statistical Arbitrage, Machine Learning and Binary Options. Skip to primary content. Skip to secondary content. Hidden Markov Models Examples In R – Part 3 of 4. September 7, 2014. Method One – Single HMM Each State is a Regime. The credit for this section must go to the fantastic Systematic Investor blog http:/ systematicinvestor.wordpress.com/2012/11/01/regime-detection/. Code for method 1:. BullMarketOne, bearMarket, bullMarketTwo ). Y, nStates =.
Python Code | Gekko Quant – Quantitative Trading
http://gekkoquant.com/category/pycode
Gekko Quant Quantitative Trading. Quantitative Trading, Statistical Arbitrage, Machine Learning and Binary Options. Skip to primary content. Skip to secondary content. Category Archives: Python Code. Twitter Trading Downloading Tweets Using Python (Part 2 of 2). May 19, 2012. Previously in Part 1. Code was produced to use tweetstream and download tweets in real time, this part of the series will look at how to store these tweets for future analysis. And Python ( Sqlite Python Docs. 1 twitter sqlite CREAT...
Trading Papers | Gekko Quant – Quantitative Trading
http://gekkoquant.com/category/paperreview
Gekko Quant Quantitative Trading. Quantitative Trading, Statistical Arbitrage, Machine Learning and Binary Options. Skip to primary content. Skip to secondary content. Category Archives: Trading Papers. Trading Strategies To Exploit Blog, News & Twitter Sentiment (Paper). May 15, 2012. Trading Strategies To Exploit Blog and News Sentiment (Paper). The method has four Parameters:. Sentiment Analysis Period – How many days of previous sentiment data to use? What i like most about the paper is that the asse...
Hidden Markov Models – Model Description Part 1 of 4 | Gekko Quant – Quantitative Trading
http://gekkoquant.com/2014/05/18/hidden-markov-models-model-description-part-1-of-4
Gekko Quant Quantitative Trading. Quantitative Trading, Statistical Arbitrage, Machine Learning and Binary Options. Skip to primary content. Skip to secondary content. Hidden Markov Models – Model Description Part 1 of 4. May 18, 2014. General Pattern Recognition Framework. A set of features. Are derived from data set. Identified by finding the most likely class given the data. Is unknown, so Bayes’ rule must be used. Since the maximisation does not depend upon. We can ignore it. The terms. Is a vector d...
FOSS Trading: November 2014
http://blog.fosstrading.com/2014_11_01_archive.html
Algorithmic Trading with Free Open Source Software. Tuesday, November 18, 2014. R/Finance 2015 Call for Papers. R/Finance 2015: Applied Finance with R. May 29 and 30, 2015. University of Illinois at Chicago. The seventh annual R/Finance conference for applied finance using R. Will be held on May 29 and 30, 2015 in Chicago, IL, USA at the University of Illinois at Chicago. We invite you to submit complete papers in pdf format for consideration. We will also consider one-page abstracts (in txt or pdf f...
FOSS Trading: Disclosures
http://blog.fosstrading.com/p/disclosures.html
Algorithmic Trading with Free Open Source Software. I receive an affiliate commission when a reader signs up for a CSI data package via a referring link from this site and/or using the "FOSS" coupon code. I receive an affiliate commission on Amazon.com purchases made during a shopping session that originated from an Amazom.com link on this site. Links to this post. World Beta - Engineering Targeted Returns and Risk. AuTraSy blog - Automated trading System. The Physics of Finance. R Finance Task View.
FOSS Trading: November 2013
http://blog.fosstrading.com/2013_11_01_archive.html
Algorithmic Trading with Free Open Source Software. Monday, November 4, 2013. The complaint I hear most frequently about quantstrat is that it's slow, especially for large data. Some of this slow performance is due to quantstrat treating all strategies as path-dependent by default. Path dependence requires rules to be re-evaluated for each timestamp with a signal. More signals equates to longer run-times. The biggest issue was how the internal function ruleProc. Object before calling the rule function...
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Home | Quants Only
TopQuants Autum Event 2014. Workshops on current issues in Modeling. Basel III the era of quants? TopQuants - by Quants for Quants. TopQuants was initiated in 2011 by quantitative analysts (quants) based in the Netherlands. Presentation and preparation form the bedrock of a successful interview. To shorten the odds in your favour, it’s vital that you are primed to establish yourself as the solution to the employers problem. Welcome to Quants Only. Quantitative risk analyst derivatives validation.
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Domingo, 14 de septiembre de 2014. Video Quant en las Meninas de Canido (Magic Tricks). Martes, 2 de septiembre de 2014. Quant en las meninas de Canido. Próximo concierto: Sábado 6 de septiembre. En Acústico en el día de las meninas de Canido. Alrededor de las 7 de la tarde en la Plaza de la Tahona. Lunes, 10 de marzo de 2014. QUANT en el diario de Ferrol. Viernes, 7 de marzo de 2014. QUANT y Ferrol Vello en Ferrol360. Martes, 4 de marzo de 2014. QUANT - Ferrol Vello. Domingo, 9 de febrero de 2014. Y si ...
QuantSPEED
2010 Rocky Mountain Division National Champion! 2010 - 7 National Race Wins. 2010 - Tied Regional Points Champion. September 2009 - First National Race Win. August 2009 - Two Regional Race Wins. Rocky Mountain 2009 Most Improved Driver. Rocky Mountain 2007 Regional Driver of the Year. Christine@quantspeed.com or 303-523-0893. QuantSPEED Racing, LLC 2012.
Quantspire | Leading Digital Marketing Company | Mumbai
Digital Branding and Design. Website Design and Development. Everything sells online only if it is sold right! Website Design and Development. Digital Branding and Design. Innovative ideas are vital in e-Branding. The awesome team at quantspire, with a perfect blend of leadership and experience given can unique edge to your brand. We believe in supreme service quality enhancing client experience. Digital Branding and Design. Website Design and Development. Digital Branding and Design.
Quantsport – My Sports and Data Blog
My Sports and Data Blog. Welcome to WordPress. This is your first post. Edit or delete it, then start writing! February 17, 2016. 1 Comment on Hello world! Proudly powered by WordPress.
Quants Portal
Open Source Hedge Fund. Python for Quants 2014. Passionate about Quantitative Trading. Quantitative analysis, as we define it, is the application of mathematical and/or statistical methods to market data. This is primarily done for one of two reasons: (1) To compare two or more markets or securities; (2) To develop a probabilistic construct of market behavior. John Forman. Open Source Hedge Fund. We are serious about learning from the minds of wiser men and woman. DROP US A LINE.
QuantSpring Financial & Data Analysis Freelance Marketplace | QuantSpring.com
Mysqli real connect(): Headers and client library minor version mismatch. Headers:50623 Library:100013 in /home/lgtawjim/public html/quantspring.com.au/wp-includes/wp-db.php. QuantSpring – Financial Models, Analysis Freelance Projects. Welcome to QuantSpring the New Financial and Data Analysis Community. QuantSpring is a new and amazing freelance marketplace and community for financial modellers, financial analysts, data miners and portfolio managers and analysts. Add your email to the launch list. If yo...
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