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Quant analytic

Quant analytics: More Q&A from a member about paid vs free market data source and time frequency with ARIMA

Quant analytics: More Q&A from a member about paid vs free market data source and time frequency with ARIMA Questions from a member: I reviewed the links. I see all literature its about stocks…. Are there some examples with R code with Forex for cointegration? Why Lmax is candidate to forex trading? What do we …

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Forget genetic algoritms or evolution learning in my quant analytic strategy research. Tool is Matlab

Forget genetic algoritms or evolution learning in my quant analytic strategy research. Tool is Matlab Serious. This is too experimental and immature. I will stick with the purest form of classic algos and models as compared to crossbreeding them. I find it interesting but it was too early for me to get into it. This …

Forget genetic algoritms or evolution learning in my quant analytic strategy research. Tool is Matlab Read More »

Quant analytic: Best method to transform a continuous variable to categorical variable in order to build a logistic regression model?

Quant analytic: Best method to transform a continuous variable to categorical variable in order to build a logistic regression model?   == Which logistic regression model do you intend to use? If binary logistic: just decide on a cut-point which separates the two categories. In SPSS, you can use the recode method which is available …

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Details for Top and Most Popular Quant Analytic Articles at QuantLabs.net

Details for Top and Most Popular Quant Analytic Articles at QuantLabs.net   Top and Most Popular Quant Analytics Articles This zipe file contains:   best-tutorial-on-matrices-within-matlab-not-so-hard-with-this-one.pdf filename.txt quant-analytics-alternative-to-multiple-regression.pdf quant-analytics-anyone-know-of-rapid-miner-for-open-source-visual-modelling.pdf quant-analytics-best-definition-of-mean-reversion-.pdf quant-analytics-black-scholes-vs-binomial-differences.pdf quant-analytics-correlation-coedfficient-a-correlation-matrix-in-excel.pdf quant-analytics-correlation-matrix-of-sp500-components (1).pdf quant-analytics-correlation-matrix-of-sp500-components (2).pdf quant-analytics-correlation-matrix-of-sp500-components.pdf quant-analytics-fractal-volatility.pdf quant-analytics-how-excel-can-find-implied-volatility-.pdf quant-analytics-how-to-do-piecewise-cubic-spline-for-treasury-yield-curve-within-excel.pdf quant-analytics-hull-white-model-explained-as-easily-as-possible.pdf quant-analytics-intro-to-value-ar-risk-var-with-excel-.pdf quant-analytics-is-this-the-easiest-way-to-calculate-maximum-drawdown-calculation.pdf quant-analytics-mathematical-approach-to-order-book-modelling.pdf quant-analytics-nonlinear-interpolation-with-excels-solver-to-construct-yield-curve.pdf quant-analytics-polynomial-fitting-algorithm.pdf quant-analytics-trading-a-mathematical-finance.pdf quant-analytics-using-excel-linest-function-for-multivariate-regression.pdf quant-analytics-value-at-risk-var-historical-simulation-for-portfolio.pdf quant-analytics-very-simple-binomial-option-pricing-cox-ross-rubinstein-crr-model.pdf quant-analytics-what-is-bivariate-normal-distribution.pdf quant-analytics-what-is-the-bjerksund-stensland-model.pdf quant-analytics-youtube-videos-on-covariance-and-co   http://quantlabs.net/labs/index.php?option=com_docman&task=doc_details&gid=814 NOTE …

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What are your “must read” blogs, websites to keep up to speed on new Quant Analytic/Data Mining/AI and Machine Learning projects/trends?

What are your “must read” blogs, websites to keep up to speed on new Quant Analytic/Data Mining/AI and Machine Learning projects/trends? Greetings, I have been recruiting in Analytics for the last few years on a small scale for my Wireless clients. I am now moving my practice exclusively to “Big Data” projects as find the …

What are your “must read” blogs, websites to keep up to speed on new Quant Analytic/Data Mining/AI and Machine Learning projects/trends? Read More »

Quant analytics: Is it possible to improve a predictive model using the data that come after the model is applied?

Quant analytics: Is it possible to improve a predictive model using the data that come after the model is applied? The new data are supposed to be biased towards the treatment. So how to utilize them in this case? Thanks. — That depends on the model in question. Your initial question is, unfortunately, too general …

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