DevilYuan | DevilYuan量化交易平台

 by   shakenetwork Python Version: Current License: MIT

kandi X-RAY | DevilYuan Summary

kandi X-RAY | DevilYuan Summary

DevilYuan is a Python library. DevilYuan has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However DevilYuan build file is not available. You can download it from GitHub.

DevilYuan量化交易平台 可视化股票量化系统,支持选股,历史数据自动下载,策略回测及参数优化,实盘交易和常用的统计功能
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            kandi-support Support

              DevilYuan has a low active ecosystem.
              It has 30 star(s) with 24 fork(s). There are 4 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              DevilYuan has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of DevilYuan is current.

            kandi-Quality Quality

              DevilYuan has 0 bugs and 0 code smells.

            kandi-Security Security

              DevilYuan has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              DevilYuan code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              DevilYuan is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              DevilYuan releases are not available. You will need to build from source code and install.
              DevilYuan has no build file. You will be need to create the build yourself to build the component from source.
              DevilYuan saves you 12314 person hours of effort in developing the same functionality from scratch.
              It has 24829 lines of code, 2442 functions and 293 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed DevilYuan and discovered the below as its top functions. This is intended to give you an instant insight into DevilYuan implemented functionality, and help decide if they suit your requirements.
            • Load data from code engine
            • Updates the total number of requests
            • Updates the progress bar
            • Increment the progress bar
            • Calculates on market days
            • Compute efficiency ratio
            • Calculate the mean mean of mas
            • Calculates on market days
            • Calculate angle between y1 and y
            • Plot the event handler
            • Configures the user input
            • Handle tick market ticks
            • Predict new rebound volume
            • Sell a price
            • Push ticks to the bar
            • Event handler for stock position update
            • Event handler for stocks update
            • Add stock info columns
            • Get latest free shares for a given code
            • Get buy price
            • Unpack stockPosSync from broker
            • Calculate MACD
            • Login to exe
            • Push ticks
            • Calculate pct_change of market days
            • Prepare and prepare the volatility function
            Get all kandi verified functions for this library.

            DevilYuan Key Features

            No Key Features are available at this moment for DevilYuan.

            DevilYuan Examples and Code Snippets

            No Code Snippets are available at this moment for DevilYuan.

            Community Discussions

            No Community Discussions are available at this moment for DevilYuan.Refer to stack overflow page for discussions.

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

            Vulnerabilities

            No vulnerabilities reported

            Install DevilYuan

            You can download it from GitHub.
            You can use DevilYuan 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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            CLONE
          • HTTPS

            https://github.com/shakenetwork/DevilYuan.git

          • CLI

            gh repo clone shakenetwork/DevilYuan

          • sshUrl

            git@github.com:shakenetwork/DevilYuan.git

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