MC-LEAPS | Monte Carlo approach toward estimating future value of LEAPS

by swpowell Python Version: Current License: GPL-3.0

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kandi X-RAY | MC-LEAPS Summary

MC-LEAPS is a Python library. MC-LEAPS has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However MC-LEAPS build file is not available. You can download it from GitHub.

this code was designed and tested for use in the command line. no warranty is provided for the code. it has only been tested on mac and linux operating systems. in the terminal, to run the code enter. the code will prompt you to enter a ticker symbol (the requested ticker) or to enter q to quit. if you enter a ticker symbol, information will be pulled from yahoo! finance to predict the future price (expected value) of the requested ticker at various leap expiration dates. expected value is computed as the mean of 1000 monte carlo simulations of future price for the ticker, which is based on performance of the requested ticker over the past 5 years by default

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MC-LEAPS has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

MC-LEAPS has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of MC-LEAPS is current.

Quality

MC-LEAPS has no bugs reported.

Security

MC-LEAPS has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

MC-LEAPS is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

MC-LEAPS releases are not available. You will need to build from source code and install.

MC-LEAPS has no build file. You will be need to create the build yourself to build the component from source.

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MC-LEAPS Key Features

No Key Features are available at this moment for MC-LEAPS.

MC-LEAPS Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install MC-LEAPS

You can download it from GitHub.
You can use MC-LEAPS like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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