User Portlet
Featured Contributor
Robert Rimmer
Not indicated
LOCATION: Arizona
WEBSITE: Not indicated
INTERESTS IN JOBS & NETWORKING: Not indicated
ABOUT ME:
I am a retired cardiologist, who has been using Mathematica since 1988. I have interests in mathematical statistics, financial markets, global positioning systems, knowledge as information, medicine. I received my M.D. degree from the State University of New York and became interested in stable distributions after reading The Fractal Geometry of Nature by B. B. Mandelbrot in the 1980s. I published in Mathematica Journal and at the Wolfram Demonstrations Project.
STAFF PICKS:
- Structure of option chain from Schwab API
- Enhancements to SchwabAPI: token refresh, updated package, and comprehensive market data examples
- Evaluating Schwab API option pricing: implied volatility and Black-Scholes analysis
- Real time market monitor with notebook using Schwab API
- Developing an interface to the Schwab API with Wolfram
- Volatility analysis using daily price data from the Schwab API
- Volatility measure using minute price data from the Schwab API
- Price prediction using a financial data tensor for training
- Parabola on the complex plane
- FOMC rates: Chebyshev polynomial approximation to yield curve
- FOMC rates: inverted yield curve update with 5-parameters model
- FOMC rates: inverted yield curve is changing
- FOMC raising rates: model for an inverted yield curve
- Structure of intraday market volatility
- Tail behavior: high frequency market data
- Fractal market analysis
- A simple intraday volatility measure
- Chebyshev polynomials to approximately interpolate data
- Twitter steganography: decoding messages hidden in images
- [NB] Predicting Coronavirus Epidemic in United States
- [NB] Tracking Coronavirus Testing in the United States
- [NB] Logistic Model for Quarantine Controlled Epidemics
- [Notebook] Web Scraper: New York Times Coronavirus Data
- Coronavirus logistic growth model: South Korea
- [Notebook] Updated: coronavirus logistic growth model: China
- [Notebook] Coronavirus logistic growth model: Italy and South Korea
- Coronavirus logistic growth model: China