Hawkmatix

Andrew C. Hawkins
(Launched on 15 August 2013 (v1), last revised 19 August 2013 (v2))

Abstract

Regression is the process of determining a best fit curve through a data set. This project uses quadratic polynomial regression to determine a polynomial that fits the data best. That polynomial is then solved for at the current time and plotted. This yields a close fit to the data with very high correlation. Extrapolations can be drawn from the polynomial that supports future price predictions. A visual aid was built into this project allowing a color change when either the value is increasing or decreasing or the line acts as support or resistance.

Comments: 1 source package, 2 figures
Subjects: Statistics, Econometrics

Screenshots

Software is licensed under a GNU Lesser General Public License. | Documentation is licensed under a GNU Free Documentation License.

Risk Disclosure:
All trading contains substantial risks that may not be suitable for every investor. An investor could potentially lose all or more than their original investment. Risk capital is money that can be lost without jeopardizing ones' financial security or life style. Only risk capital should be used for trading and only those with sufficient risk capital should consider trading. Hawkmatix does not recommend the buying or selling of any security and any decision to buy or sell a security is the sole responsibility of the individual. Past performance is not necessarily indicative of future results. There are no guarantees that trading will result in profit. Hawkmatix and all of its contributors are not responsible for any resulting losses.
Hypothetical Performance Disclosure:
Hypothetical performance results have many inherent limitations, some of which are described below. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown; in fact, there are frequently sharp differences between hypothetical performance results and the actual results subsequently achieved by any particular trading program. One of the limitations of hypothetical performance results is that they are generally prepared with the benefit of hindsight. In addition, hypothetical trading does not involve financial risk, and no hypothetical trading record can completely account for the impact of financial risk of actual trading. For example, the ability to withstand losses or to adhere to a particular trading program in spite of trading losses are material points which can also adversely affect actual trading results. There are numerous other factors related to the markets in general or to the implementation of any specific trading program which cannot be fully accounted for in the preparation of hypothetical performance results and all which can adversely affect trading results.

Copyright © 2013 - 2017 Andrew C. Hawkins