finpy | Stock Analysis Tools in Python | Business library

by blacksburg98 Python Version: Current License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | finpy Summary

finpy is a Python library typically used in Web Site, Business applications. finpy has no bugs, it has no vulnerabilities, it has build file available and it has low support. However finpy has a Non-SPDX License. You can download it from GitHub.

I plan to expand the capabilities. Please let me know if you have any suggestions. You can reach me at blacksburg98 (at) yahoo dot com. I’ve tried to use docstring as much as possible, so you can try these commands in python shell to get more information. :: from finpy.utils import get_tickdata from finpy.equity import Equity help(Equity) from finpy.portfolio import Portfolio help(Portfolio). Please go to to file a issue if you have any problems. Recommend: This will be the area where the downloaded stock data are stored.

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Quality

Security

License

Reuse

Support

finpy has a low active ecosystem.

It has 5 star(s) with 1 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. On average issues are closed in 88 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of finpy is current.

Quality

finpy has 0 bugs and 0 code smells.

Security

finpy has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

finpy code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

finpy has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

finpy releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

It has 71703 lines of code, 146 functions and 32 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed finpy and discovered the below as its top functions. This is intended to give you an instant insight into finpy implemented functionality, and help decide if they suit your requirements.

Compute a pie plot of the output
Return the ratio of equities
Returns a list of timestamps
Return the sortino s standard deviation
Print out back tests
Calculates the total asset sum
Fill missing values in the equities
Place buy
Wrapper for get_data
Get data from a CSV file
Calculate pre - timestamps
Calculate the sortino
Calculates the recall ratio
Calculate the maxfall for a given tick and date
Return the info ratio of a benchmark
Calculates recall ratio
Compute beta and alpha for a given benchmark
Moving average
Read the symbols from a file
Compute the event profiler
Calculate the maximum rise
Run the algorithm
Calculate the drawdown for a given window
Returns a Pandas DataFrame containing the trading dates
Return a pandas pandas Series containing the tradeable dates
Get data from ls
Compute the RSI for a given ticker

Get all kandi verified functions for this library.

finpy Key Features

No Key Features are available at this moment for finpy.

finpy Examples and Code Snippets

No Code Snippets are available at this moment for finpy.

Community Discussions

Trending Discussions on finpy

Why doesn't code acceleration work with Cython?

QUESTION

Why doesn't code acceleration work with Cython?

Asked 2020-Apr-12 at 00:06

I need to speed up this code to 4 milliseconds.

...

ANSWER

Answered 2020-Apr-10 at 13:15

I think a major reason for this might be because your python code had almost no python operations and all of it was numpy operations. A large portion of the numpy code is written in C. Some of it is written in Fortran. A lot of it is written in Python. Well-written numpy code is comparable in speed to C code.

Source https://stackoverflow.com/questions/61140904

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install finpy

You can download it from GitHub.
You can use finpy 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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