Tag Archives: Modeling

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Quant and automated trading: Modeling Trading System Performance

Quant and automated trading: Modeling Trading System Performance This came up in my my webinar tonite Join my FREE newsletter to learn more about these books

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2014-08-04 22_13_51-Poseidon Trading Software Video Demo by Paul Cottrell _ QUANTLABS

Check out this Longitudinal Study in Modeling Yield Structure in 3D Meetup Video by Paul Cottrell

Check out this  lengthy video Paul Cottrell did a few days ago: Longitudinal Study in Modeling Yield Structure in 3D Meetup Video by Paul Cottrell This was a long video hosted by Paul Cottrell - See more Also, I was just introduced to this book from the author: Geometry and Topology of the Stock Market: for…

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Longitudinal Study in Modeling Yield Structure in 3D Meetup Video by Paul Cottrell

Longitudinal Study in Modeling Yield Structure in 3D Meetup Video by Paul Cottrell This was a long video hosted by Paul Cottrell Join my FREE newsletter for other Meetups  Here is Paul’s version:

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Modeling and analysis of financial crashes using empirical market microstructure with parallel computations in R

Modeling and analysis of financial crashes using empirical market microstructure with parallel computations in R From Sholom so thanks http://r-group.mifit.ru/ Modeling and analysis of financial crashes using empirical market microstructure with parallel computations in R http://www.rinfinance.com/agenda/2013/talk/VyacheslavArbuzov.pdf http://www.slideshare.net/fullscreen/arbuzov1989/perm-winter-school-20140131/1 As for me, I just stick with Matlab as it is easier with one set of toolboxes from…

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MATLAB

Matlab Webinars: Connecting Simulink with other Simulation Frameworks and Physical Modeling with Simscape

oin us online to learn more about MATLAB and Simulink. Each live webinar is free and features application demonstrations followed by a Q&A session with a MathWorks Engineer. Physical Modeling with Simscape Friday, May 23 9:00 a.m. or 2:00 p.m. US EDT 2:00 p.m. or 7:00 p.m. BST (GMT+1) Learn how Simscape enables engineers to…

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MATLAB

I wonder: Did you know MATLAB has table arrays and regression modeling?

Do you spend time copying and pasting mixed-type data in Excel to prep it for analysis? Do you wish there was a better solution for managing heterogeneous data than data frame containers in the R language or the pandas Python package? Whether you are new to MATLAB, or you’re a long-time user, you can find…

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interested in Modeling and Data Mining.I’m face with the challenge,I need to come up with the research topic for my Masters,

I’m interested in Modeling and Data Mining.I’m face with the challenge,I need to come up with the research topic for my Masters, i’m working for a survey agency(data is not a problem),please advice.   == Are you loooking for data mining in which industry? If related to pharmaceuticals then we c == n discuss.  …

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Any researcher here with papers on ABM for modeling financial markets?

Any researcher here with papers on ABM for modeling financial markets? I would be interested in getting in contact with researchers who have published papers on agent based modeling for financial markets. Thanks. —– I spend some time on ABMs, you can check out findings in my thesis downloadable from the profile page.    

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Data Segmentation Technique – Financial Modeling

Data Segmentation Technique – Financial Modeling There are 6 financial ratios which are to be used in order to predict the probability of liquidation for defaulted firm. Since the data set has only 239 records, i need some technique/methodology to predict the dependent variable using all the 6 financial ratios. I tried using logistic regression…

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Bayesian Modeling Issue for potential quant analytics

Bayesian Modeling Issue for potential quant analytics Modeling Question How do you compare Bayesian statistics posterior probabilities with standard probabilities. A simplified example will illustrate the problem: Suppose we are trying to build a Bayesian model to predict who the winner of a horserace. We will use 8 independent variables: 1. best time in past…

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