dtr-trading.blogspot.com
DTR Trading: July 2015
http://dtr-trading.blogspot.com/2015_07_01_archive.html
A blog about options trading strategies (Iron Condors, Strangles, Calendars, Butterflies), equities rotation strategies, and Java related technologies to backtest and automate trading. High Loss Threshold IC. Dynamic Exit Iron Condor. No Touch Iron Condor. SPX High Loss Strangles. RUT High Loss Strangles. Thursday, July 30, 2015. SPX Strangle - High Loss Threshold - 80 DTE. This post looks at selling one-lot options strangles on the S&P 500 Index. Also note, that all of the blog posts for the SPX strangl...
fantasyfootballanalytics.net
How Fantasy Football is Like Stock Picking (Including a Shiny App) - Fantasy Football Analytics
http://fantasyfootballanalytics.net/2015/03/fantasy-football-is-like-stock-picking.html
Win Your Auction Draft. Win Your Snake Draft. Calculate Projections for Your League. Examine Accuracy of Projections. Fantasy Football is Like Stock Picking. Use Projections, Not Rankings. Who has the Best Projections? Draft the Best Starting Lineup. Projections are More Accurate than Rankings. Points by Position Rank. Players’ Risk Levels. Are Subscription Sources More Accurate? How To Learn R. R is Better than Excel. Do Stats Help in Fantasy Football? Rankings/Projections for Your League. Not even so-c...
systematicportfolio.com
Loading Historical Stock Data - Systematic Portfolio
http://www.systematicportfolio.com/load_stock_data
Seasonality Tool case study. Seasonality Tool user's reference. Proportional Minimum Variance Algorithm. Loading Historical Stock Data. Loading Historical Stock Data. Loading Historical Stock Data. Historical Stock Data is critical for testing your investment strategies. There are many ways to load Historical Stock Data in to your R session. Below I show 4 different approaches to load historical stock data:. Download Historical Stock quotes from Yahoo Fiance with getSymbols function from quantmod package.
systematicportfolio.com
Minimum Correlation Algorithm - Systematic Portfolio
http://www.systematicportfolio.com/mincorr
Seasonality Tool case study. Seasonality Tool user's reference. Proportional Minimum Variance Algorithm. Loading Historical Stock Data. This is a support page for the "Minimum Correlation Algorithm" paper. The paper presents a new heuristic portfolio allocation algorithm developed by David Varadi. The Minimum Correlation Algorithm is fast, robust, and easy to implement. Here are the support documents:. Minimum Correlation Algorithm Paper. Weekly Back Test reports. Monthly Back Test reports. Spl( 'SPY,QQQ...
systematicinvestor.wordpress.com
systematicinvestor | Systematic Investor
https://systematicinvestor.wordpress.com/author/systematicinvestor
New Home of Systematic Investor Blog. February 18, 2015. Please visit the New Home of Systematic Investor Blog. At SystematicInvestor.GitHub.io. August 1, 2014. David Varadi has published two excellent posts / ideas about cooking with momentum:. I just could not resist the urge to share these ideas with you. Following is implementation using the Systematic Investor Toolbox. Please enjoy and share your ideas with David and myself. To view the complete source code for this example, please have a look at the.
systematicportfolio.com
Seasonality Tool user's reference - Systematic Portfolio
http://www.systematicportfolio.com/tools/seasonality-tool-user-reference
Seasonality Tool case study. Seasonality Tool user's reference. Proportional Minimum Variance Algorithm. Loading Historical Stock Data. Seasonality Tool user's reference. Seasonality Tool user's reference:. Seasonality Analysis Report contains summary performance statistics for each month, and can be used to determine the historically most profitable months. Detail Seasonality Analysis Report:.
systematicportfolio.com
Proportional Minimum Variance Algorithm - Systematic Portfolio
http://www.systematicportfolio.com/minvar
Seasonality Tool case study. Seasonality Tool user's reference. Proportional Minimum Variance Algorithm. Loading Historical Stock Data. Proportional Minimum Variance Algorithm. Proportional Minimum Variance Algorithm:. This is a support page for the upcoming "Proportional Minimum Variance Algorithm" paper. The paper presents a new heuristic portfolio allocation algorithm developed by David Varadi. The Proportional Minimum Variance Algorithm is fast, robust, and easy to implement. Monthly Back Test reports.
systematicportfolio.com
RFinance2012 - Systematic Portfolio
http://www.systematicportfolio.com/RFinance2012
Seasonality Tool case study. Seasonality Tool user's reference. Proportional Minimum Variance Algorithm. Loading Historical Stock Data. This is a support page for the lighting talk I'm giving at the R/Finance 2012 conference. I will be speaking about "Seasonality Analysis and Pattern Matching" using R. Here are the support documents:. To reproduce the charts for my presentation, please execute following R code:. Load Systematic Investor Toolbox (SIT). Load supporting R code for R/Finance 2012. Matches = ...
systematicportfolio.com
Adaptive Shrinkage - Systematic Portfolio
http://www.systematicportfolio.com/adaptive-shrinkage
Seasonality Tool case study. Seasonality Tool user's reference. Proportional Minimum Variance Algorithm. Loading Historical Stock Data. This is a support page for the Adaptive Shrinkage method developed by David Varadi. The Adaptive Shrinkage method employs the proportional allocation methodology first introduced in the Minimum Correlation Algorithm. Here are the support documents:. Average Correlation Shrinkage (ACS). Monthly Back Test reports. Please stay in touch for updates.
systematicportfolio.com
Seasonality Tool case study - Systematic Portfolio
http://www.systematicportfolio.com/tools/seasonality-tool-case-study
Seasonality Tool case study. Seasonality Tool user's reference. Proportional Minimum Variance Algorithm. Loading Historical Stock Data. Seasonality Tool case study. Seasonality Tool case study. What company in DOW 30. Is likely to do well in January? THIS IS NOT INVESTMENT ADVICE. The information is provided for informational purposes only. Stock Market Seasonality is easy to understand, but hard to justify if you subscribe to Efficient-market hypothesis. To demonstrate the Seasonality Tool. Prices = dat...