trading_strategies | my Algo Trading Strategies | Bot library

by amor71 Python Version: 0.0.1 License: LGPL-2.1

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

kandi X-RAY | trading_strategies Summary

trading_strategies is a Python library typically used in Automation, Bot applications. trading_strategies has no bugs, it has no vulnerabilities, it has build file available, it has a Weak Copyleft License and it has low support. You can download it from GitHub.

my Algo Trading Strategies

Support

Quality

Security

License

Reuse

Support

trading_strategies has a low active ecosystem.

It has 32 star(s) with 11 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 3 have been closed. On average issues are closed in 19 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of trading_strategies is 0.0.1

Quality

trading_strategies has no bugs reported.

Security

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

License

trading_strategies is licensed under the LGPL-2.1 License. This license is Weak Copyleft.

Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.

Reuse

trading_strategies 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.

Top functions reviewed by kandi - BETA

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

Run the benchmark
Calculate the balance of the portfolio
Calculate the annual cumulative momentum
Apply filters to the portfolio
Make a buy
Calculates the asset size for a given symbol
Check if the given symbol is in the given time range
Checks if the given symbol is in the market
Run the trading side
Calculate the close of a symbol
This method handles the sell side
Process buy side
Run the ticker
Get the list of tradeable assets for the asset
Wait for a scan to finish
Runs the benchmark
Check if there is a buy time
Check if the given symbol is cool down
Run market on market
Check if a symbol is cool down
Run the market
Check if a symbol should be cool
Run all buy orders
Handle all orders

Get all kandi verified functions for this library.

trading_strategies Key Features

No Key Features are available at this moment for trading_strategies.

trading_strategies Examples and Code Snippets

No Code Snippets are available at this moment for trading_strategies.

Community Discussions

Trending Discussions on trading_strategies

Arnaud Legoux Moving Average and numpy

QUESTION

Arnaud Legoux Moving Average and numpy

Asked 2018-May-31 at 22:16

I'd like to write the vectored version of code that calculates Arnaud Legoux Moving Average using NumPy (or Pandas). Could you help me with this, please? Thanks.

Non-vectored version looks like following (see below).

...

ANSWER

Answered 2017-Oct-28 at 15:20

Starting Approach

We can create sliding windows along the first axis and then use tensor multiplication with the range of wtd values for the sum-reductions.

The implementation would look something like this -

Source https://stackoverflow.com/questions/46990098

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

Vulnerabilities

No vulnerabilities reported

Install trading_strategies

You can download it from GitHub.
You can use trading_strategies 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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