AlgoTrading | Python Implementations of popular Algorithmic Trading | Machine Learning library

by vrishank97 Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | AlgoTrading Summary

AlgoTrading is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Numpy applications. AlgoTrading has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install AlgoTrading' or download it from GitHub, PyPI.

Python Implementations of popular Algorithmic Trading Strategies, along with genetic algorithms for tuning parameters based on historical data.

Support

Quality

Security

License

Reuse

Support

AlgoTrading has a low active ecosystem.

It has 74 star(s) with 30 fork(s). There are 16 watchers for this library.

It had no major release in the last 6 months.

There are 6 open issues and 6 have been closed. On average issues are closed in 3 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of AlgoTrading is current.

Quality

AlgoTrading has 0 bugs and 0 code smells.

Security

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

AlgoTrading code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

AlgoTrading is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

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

Deployable package is available in PyPI.

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

AlgoTrading saves you 745 person hours of effort in developing the same functionality from scratch.

It has 1717 lines of code, 128 functions and 57 files.

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

Top functions reviewed by kandi - BETA

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

Calculate a single step
Calculate MACD history
Calculate the stochastic stochastic price
Calculate the mean of a given window

Get all kandi verified functions for this library.

AlgoTrading Key Features

No Key Features are available at this moment for AlgoTrading.

AlgoTrading Examples and Code Snippets

No Code Snippets are available at this moment for AlgoTrading.

Community Discussions

Trending Discussions on AlgoTrading

flask.request mocker.patch.object does not take effect

Why is my Python program throwing an exception depending on the name of the file?

QUESTION

flask.request mocker.patch.object does not take effect

Asked 2020-May-22 at 03:29

In my controller I got this endpoint:

...

ANSWER

Answered 2019-Sep-20 at 12:59

It turns out that if on the _test.py you do:

Source https://stackoverflow.com/questions/57957456

QUESTION

Why is my Python program throwing an exception depending on the name of the file?

Asked 2018-Oct-21 at 15:34

I'm just learning Python.

I have a file with the following content

...

ANSWER

Answered 2017-Feb-08 at 01:03

csv.py is built into python and thus is restricted.

If you run a python interpreter and try to import csv, you'll succeed without having to download anything new.

Source https://stackoverflow.com/questions/42102825

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

Vulnerabilities

No vulnerabilities reported

Install AlgoTrading

You can install using 'pip install AlgoTrading' or download it from GitHub, PyPI.
You can use AlgoTrading 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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