qtpylib | QTPyLib , Pythonic Algorithmic Trading | Cryptocurrency library

by ranaroussi Python Version: 1.5.83 License: Apache-2.0

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

kandi X-RAY | qtpylib Summary

qtpylib is a Python library typically used in Blockchain, Cryptocurrency applications. qtpylib has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install qtpylib' or download it from GitHub, PyPI.

QTPyLib, Pythonic Algorithmic Trading

Support

Quality

Security

License

Reuse

Support

qtpylib has a medium active ecosystem.

It has 1973 star(s) with 487 fork(s). There are 138 watchers for this library.

It had no major release in the last 12 months.

There are 60 open issues and 92 have been closed. On average issues are closed in 88 days. There are 8 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of qtpylib is 1.5.83

Quality

qtpylib has 0 bugs and 0 code smells.

Security

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

qtpylib code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

qtpylib is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

qtpylib 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.

It has 8518 lines of code, 449 functions and 28 files.

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

Top functions reviewed by kandi - BETA

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

Resample a dataframe .
Create order
Prepare data .
Function to create continuous contracts .
get symbol id
Send an order
Return a dictionary of IB futures .
Stream data from zeromq .
Send a trade .
Store data into a table

Get all kandi verified functions for this library.

qtpylib Key Features

No Key Features are available at this moment for qtpylib.

qtpylib Examples and Code Snippets

No Code Snippets are available at this moment for qtpylib.

Community Discussions

Trending Discussions on qtpylib

Fill the first missing null elements after shifting and rolling window

QUESTION

Fill the first missing null elements after shifting and rolling window

Asked 2021-Feb-09 at 21:20

I'm recreating a strategy made in python with pandas. I think my code works, even tho I haven't compared the values yet, because I'm getting an exception. Basically, the problem is that .Shift(20) removes the first 20 elements and .Window(12 * 60 / 15) removes 47 elements. The typical prices are 10180 by default. They become 10113 after the shifting and rolling window. I tried using .FillMissing(), but it doesn't seem to append the first null values to the series.

...

ANSWER

Answered 2021-Feb-09 at 21:20

If you have an ordinal series that you create with ToOrdinalSeries, it means that the index of the series will be automatically generated numerical value from 0 to length of your series - 1. However, this is still a real index and Deedle keeps the mapping when you use operations like Shift.

If your index was a date, say 01/01 => a, 02/01 => b, 03/01 => c, then Shift would shift the values and drop the keys that are no longer needed, i.e. you may get 02/01 => a, 03/01 => b.

It works the same with ordinal indices, so if you have 0 => a, 1 => b, 2 => c and shift the data, you will get something like 1 => a, 2 => b.

If you then want to get 0 => , 1 => a, 2 => b, then you can do this using Realign which takes the new list of keys that you want to have followed by FillMissing. For example:

Source https://stackoverflow.com/questions/66120557

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

Vulnerabilities

No vulnerabilities reported

Install qtpylib

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