algotrading | Algorithmic trading framework for cryptocurrencies | Cryptocurrency library
kandi X-RAY | algotrading Summary
kandi X-RAY | algotrading Summary
algotrading is a Python library typically used in Blockchain, Cryptocurrency applications. algotrading has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can download it from GitHub.
Algorithmic trading framework for cryptocurrencies.
Algorithmic trading framework for cryptocurrencies.
Support
Quality
Security
License
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Support
algotrading has a medium active ecosystem.
It has 818 star(s) with 152 fork(s). There are 28 watchers for this library.
It had no major release in the last 6 months.
There are 6 open issues and 16 have been closed. On average issues are closed in 133 days. There are 2 open pull requests and 0 closed 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.
Build file is available. You can build the component from source.
Installation instructions are not available. Examples and code snippets are available.
algotrading saves you 532 person hours of effort in developing the same functionality from scratch.
It has 1246 lines of code, 86 functions and 17 files.
It has high 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.
- Runs the realtime simulation
- Returns True if the function has time to buy
- Notify desktop notification
- Convert binance to btrx format
- Download historical data to a file
- Check if market name is lowercase
- Connect to the database
- Get historical data for a given market
- Beep
- Run a command
- Returns a list of all balances
- Get all currencies
- Get market information
- Attempts to sell all assets
- Get open orders
- Get deposit address
- Get the orderbook for a market
- Get the trade history
- Get market history
- Send a sell market
- Draw funds from currency
- Place a market
- Get balances
- Get market summary
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
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 12:59It turns out that if on the _test.py you do:
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 01:03csv.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.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install algotrading
You can download it from GitHub.
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.
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 .
Find more information at:
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