OctoBot | Cryptocurrency trading bot using technical analysis | Bot library

 by   Drakkar-Software Python Version: 1.0.3 License: GPL-3.0

kandi X-RAY | OctoBot Summary

kandi X-RAY | OctoBot Summary

OctoBot is a Python library typically used in Automation, Bot, Bitcoin applications. OctoBot has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has medium support. You can install using 'pip install OctoBot' or download it from GitHub, PyPI.

Octobot is a powerful, fully modular open-source cryptocurrency trading robot. See the Octobot official website. This repository contains all the features of the bot (trading tools, evaluation engines, the backtesting toolkit, ...). Octobot's tentacles contains the bot's strategies and user interfaces.

            kandi-support Support

              OctoBot has a medium active ecosystem.
              It has 2091 star(s) with 568 fork(s). There are 108 watchers for this library.
              There were 8 major release(s) in the last 6 months.
              There are 70 open issues and 646 have been closed. On average issues are closed in 319 days. There are 12 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of OctoBot is 1.0.3

            kandi-Quality Quality

              OctoBot has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              OctoBot is licensed under the GPL-3.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              OctoBot releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.
              It has 5717 lines of code, 580 functions and 84 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed OctoBot and discovered the below as its top functions. This is intended to give you an instant insight into OctoBot implemented functionality, and help decide if they suit your requirements.
            • Argument parser
            • Update run queue
            • Get a hash of the run data
            • Update the datastore
            • Find the optimized configuration
            • Calculates optimal configuration based on results
            • Returns a list of all the evaluators that match the criteria
            • Return whether evaluator is applicable to evaluator
            • Start a background thread
            • Start the octobot
            • Stop all tasks
            • Migrate cozy configuration
            • Callback called when a channel is received
            • Create a new consumer consumer
            • Update the project
            • Register a callback for a given channel
            • Get the overall progress of the optimizer
            • Wrapper for find_optimal
            • Get the latest version
            • Update the binary
            • Publish a message
            • Get the trading metadata for a given bot
            • Resumes a design strategy optimizer optimizer
            • Get community metrics
            • Restart the bot
            • Start service feed
            Get all kandi verified functions for this library.

            OctoBot Key Features

            No Key Features are available at this moment for OctoBot.

            OctoBot Examples and Code Snippets

            Async-Channel ,Usage
            Pythondot img1Lines of Code : 32dot img1License : Weak Copyleft (LGPL-3.0)
            copy iconCopy
            import async_channel.consumer as consumer
            import async_channel.producer as producer
            import async_channel.channels as channels
            import async_channel.util as util
            class AwesomeProducer(producer.Producer):
            class AwesomeConsumer(consumer.Consum  
            OctoBot-Tentacles-Manager ,Usage
            Pythondot img2Lines of Code : 3dot img2License : Weak Copyleft (LGPL-3.0)
            copy iconCopy
            $ python3 octobot_tentacles_manager/cli.py --help
            $ python3 tentacles install all
            $ ./OctoBot tentacles install all
            OctoBot project website,Setup
            HTMLdot img3Lines of Code : 3dot img3no licencesLicense : No License
            copy iconCopy
            yarn install
            bundle install
            bundle exec jekyll serve

            Community Discussions


            How To Set Up GitHub Actions to Publish a Lerna Monorepo
            Asked 2020-Jan-14 at 12:05

            I maintain a lerna/yarn monorepo. I'm in the process of migrating the CI/CD from circle to the new GitHuba Actions publish beta. I've created the following workflow:



            Answered 2020-Jan-14 at 12:05


            This configuration actually works end-to-end. The key features of this config are:

            • setting the remote with git remote set-url origin https://$GITHUB_ACTOR:$GITHUB_PAT@github.com/bennypowers/apollo-elements GITHUB_ACTOR is provided by the runner, GITHUB_PAT is a Github Personal Access Token set in the repository's secrets.
            • re-checking and pulling with git checkout "${GITHUB_REF:11}" && git pull
            • logging out of yarn, since lerna cannot handle yarn for whatever reason.
            • using the specific, finicky .npmrc setup shown below, since this is a scoped package.
            • running npm whoami after setting up auth. This will throw if authentication is broken lerna publish will push tags for each of your packages, and maybe write to the CHANGELOG.md and package.json files as well, even if it doesn't publish due to bad auth. Running npm whoami here to check that you actually can publish before running lerna prevents the headache of manually restoring the state of the repo.
            • passing GITHUB_TOKEN, GH_TOKEN, and NPM_TOKEN to lerna publish

            Source https://stackoverflow.com/questions/57597367


            Simple interceptor that will fetch all requests and add the jwt token to its authorization header
            Asked 2017-Aug-03 at 19:22

            In my efforts to setup login required to protected pages and reroute to the login page if not authorized, while using Django REST Framework and DRF-JWT, I am trying to go through the following tutorial:


            I am not sure what this looks like in step 3 of the front-end section.



            Answered 2017-Aug-03 at 19:22

            The interceptors are service factories that are registered with the $httpProvider by adding them to the $httpProvider.interceptors array. The factory is called and injected with dependencies (if specified) and returns the interceptor.

            The basic idea behind intercepter is that it will be called before each $http request and you could use a service to check if user is logged in and add a token or anything else that needs to be added into the header.You could also add some logic for response for each $http request, like handling the response based on status code.

            Here is how you can use it in angular for adding the access token for each http request.

            Source https://stackoverflow.com/questions/45492384

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


            No vulnerabilities reported

            Install OctoBot

            OctoBot's installation is very simple... because very documented ! See the installation guides for more info. Follow the 2 steps installation guide. Follow the docker installation guide. And then open http://localhost. And then open https://octobot.localhost. Follow the python installation guide. Follow the Digital Ocean installation guide.
            Use the latest release on the release page
            Get 60-day free Digital Ocean hosting by registering with OctoBot referral link.
            Free 24-hour demo repeatable indefinitely on Okteto simply using your Github account


            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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          • PyPI

            pip install OctoBot

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            gh repo clone Drakkar-Software/OctoBot

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