Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

7 scalpers' methods that still work in today's high-speed digital markets Thomas J. Brock is a CFA and CPA with more than 20 years of experience in various areas including investing, insurance ...

What Is a Linear Regression Channel? Linear regression channels are quite useful technical analysis charting tools. In addition to identifying trends and trend direction, the use of standard deviation ...

Technical analysis is a trading strategy using charts and statistics to analyze patterns in market data to predict future trends. Technical analysis is a skill that uses a set of learned formulas and ...

Bollinger Bands Trading Strategies: How to Read Volatility, Identify Market Regimes, and Trade with a Statistical Edge Trend-following indicators are technical tools that measure the direction and ...

Kernel adaptive filters are online machine learning algorithms based on kernel methods. Typical applications include time-series prediction, nonlinear adaptive filtering, tracking and online learning ...

Chemical Sciences Division, Material Measurement Laboratory, National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, Maryland 20899-1070, United States Department of Chemistry ...

The code supports 2D and 3D ordinary and universal kriging. Standard variogram models (linear, power, spherical, gaussian, exponential) are built in, but custom variogram models can also be used. The ...

Jack Kellogg began trading stocks right out of high school in 2017. Five years into his craft, he has already been exposed to various types of market conditions, including the stock market crash of ...