stock-bot | An application that allows you to design and test | Business library

by ryantcullen Python Version: Current License: AGPL-3.0

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

kandi X-RAY | stock-bot Summary

stock-bot is a Python library typically used in Web Site, Business applications. stock-bot has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However stock-bot build file is not available. You can download it from GitHub.

An application that allows you to design and test your own stock trading algorithms in an attempt to beat the market.

Support

Quality

Security

License

Reuse

Support

stock-bot has a low active ecosystem.

It has 279 star(s) with 89 fork(s). There are 26 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 12 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of stock-bot is current.

Quality

stock-bot has 0 bugs and 0 code smells.

Security

stock-bot has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

stock-bot code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

stock-bot is licensed under the AGPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

stock-bot releases are not available. You will need to build from source code and install.

stock-bot has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

stock-bot saves you 68 person hours of effort in developing the same functionality from scratch.

It has 178 lines of code, 8 functions and 1 files.

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

Top functions reviewed by kandi - BETA

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

Decide the order
Order the market
Calculate optimal position
Calculate the average slope
Calculates the average value of a window
Returns the portfolio value

Get all kandi verified functions for this library.

stock-bot Key Features

No Key Features are available at this moment for stock-bot.

stock-bot Examples and Code Snippets

No Code Snippets are available at this moment for stock-bot.

Community Discussions

Trending Discussions on stock-bot

Gcloud and docker confusion

QUESTION

Gcloud and docker confusion

Asked 2022-Mar-10 at 15:29

I am very lost on the steps with gcloud verse docker. I have some gradle code that built a docker image and I see it in images like so

...

ANSWER

Answered 2021-Sep-10 at 06:00

There are 3 contexts that you need to be aware.

Your local station, with your own docker.
The cloud based Google Container Registry: https://console.cloud.google.com/gcr/
Cloud Run product from GCP

So the steps would be:

Build your container either locally or using Cloud Build
Push the container to the GCR registry, if you built locally

docker tag busybox gcr.io/my-project/busybox docker push gcr.io/my-project/busybox
Deploy to Cloud Run a container from Google Cloud Repository.

Source https://stackoverflow.com/questions/69126672

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

Vulnerabilities

No vulnerabilities reported

Install stock-bot

Use the package manager pip to install matplotlib and yfinance from your command line.

Support

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change. The goal for this script is of course for it to be as robust and generalized as possible in terms of the data available for the user to use to design an algorithm. Add features according to whatever that means to you and submit a pull request to the feature-test branch. If if adds value to the project it will be accepted and merged. Please make sure to update tests as appropriate.

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