Package Health Score

84 / 100

security
No known security issues
popularity
Recognized
maintenance
Healthy
community
Active

Explore Similar Packages

freqtrade
84

Popularity

Recognized

GitHub Stars: 3.54K
Forks: 800
Contributors: 20

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package OctoBot, we found that it has been starred 3,542 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Oct 27, 2024
Direct Vulnerabilities: 0
C
0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
L
License Risk: 0
H
0
M
0
L

All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

GPL-3.0

Non-Permissive License

We noticed that this project uses a license which requires less permissive conditions such as disclosing the source code, stating changes or redistributing the source under the same license. It is advised to further consult the license terms before use.

Security Policy

We found a way for you to contribute to the project! Looks like OctoBot is missing a security policy.

You can connect your project's repository to Snyk to stay up to date on security alerts and receive automatic fix pull requests.

Keep your project free of vulnerabilities with Snyk

Maintenance

Healthy

Commit Frequency

Open Issues: 90
Open PR: 6
Last Release: 2 months ago
Last Commit: 4 days ago

Further analysis of the maintenance status of OctoBot based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Healthy.

We found that OctoBot demonstrates a positive version release cadence with at least one new version released in the past 3 months.

As a healthy sign for on-going project maintenance, we found that the GitHub repository had at least 1 pull request or issue interacted with by the community.

Community

Active

Readme: Yes
Contributing.md: Yes
Code of Conduct: Yes
Contributors: 20
Funding: Yes

With more than 10 contributors for the OctoBot repository, this is possibly a sign for a growing and inviting community.

Embed Package Health Score Badge

Keep your project healthy

Check your requirements.txt

Ensure all the packages you're using are healthy and well-maintained

Snyk Vulnerability Scanner

Get health score & security insights directly in your IDE

Package

Python Versions Compatibility: >=3.10

Age: 6 years
Latest Release: 2 months ago
Dependencies: 4 Direct
Versions: 124
Maintainers: 0
Wheels: No

Not sure how to use OctoBot?

To help you get started, we've collected the most common ways that OctoBot is being used within popular public projects.

Drakkar-Software / OctoBot / octobot / strategy_optimizer / test_suite_result.py View on Github

def convert_result_into_dict(index, evaluators, time_frames, risk, score, trades):
        return {
            TestSuiteResult.INDEX: index,
            TestSuiteResult.EVALUATORS: evaluators,
            TestSuiteResult.TIME_FRAMES: time_frames,
            TestSuiteResult.RISK: risk,
            TestSuiteResult.SCORE: score,
            TestSuiteResult.AVERAGE_TRADES: trades,
        }

View more ways to use OctoBot

OctoBot 2.0.7

Octobot Community

Octobot automating trades of its user while the user is relaxing on his couch

Introduction to OctoBot: choose a strategy, test it, use it and follow your gains

What is Octobot ?

Octobot is a powerful open-source cryptocurrency trading robot.

OctoBot is highly customizable using its configuration and tentacles system.
You can build your own bot using the infinite configuration possibilities such as technical analysis, social media processing or even external statistics management like google trends.

Octobot's main feature is evolution, you can :

Create, backtest and optimize your unique trading strategy from scratch or using the existing strategy bases.
Use Technical indicator (TA), artificial intelligence, ChatGPT predictions, TradingView automations or crypto baskets to automate your strategies.
Trade any crypto on SPOT and Futures markets on more than 15 supported exchanges.
Install, modify and even create new tentacles to build your ideal cryptocurrency trading robot.
Contribute to improve OctoBot core repositories and tentacles.

OctoBot is AI ready: Python being the main language for OctoBot, it's easy to integrate machine-learning libraries such as Tensorflow or any other libraries and take advantage of all the available data and create a very powerful trading strategy.

Looking for more info ? Check out our Octobot guides at octobot.cloud/en/guides/octobot

Installation

One click deployment using DigitalOcean

OctoBot can be easily launched on the cloud from the DigitalOcean Marketplace.

Manual installations

To install OctoBot, you can either:

Deploy your OctoBot on the cloud using DigitalOcean and have your OctoBot automating your strategies 24/7.
Download and install OctoBot on your computer or server.

Install OctoBot using docker. Docker install in one line summary:

docker run -itd --name OctoBot -p 80:5001 -v $(pwd)/user:/octobot/user -v $(pwd)/tentacles:/octobot/tentacles -v $(pwd)/logs:/octobot/logs drakkarsoftware/octobot:stable

Your OctoBot will be accessible on http://localhost.

Exchanges

Octobot supports many exchanges thanks to the ccxt library. To activate trading on an exchange, just configure OctoBot with your API keys as described on the exchange setup guides.

Paper trading

To trade on any exchange, just activate the exchange in your OctoBot. This enables you to trade with simulated money on this exchange.

No exchange credential is required.

Real trading

To use your real exchange account with OctoBot, enter your exchange API keys as described on the exchange guides.

Follow your investments

You can follow your OctoBots portfolio, orders, trades and historical performance from your phone with our Android application. You can also install the web application to have the same experience on any smartphone or computer.

Testing trading strategies

OctoBot comes with its built-in backtesting engine which enables you to trade with simulated money using historical exchange data.

Backtesting will give you accurate insights on the past performance and behavior of trading strategies.

Contribute from a browser IDE

Make changes and contribute to OctoBot in a single click with an already setup and ready to code developer environment using Gitpod !

Hardware requirements

CPU : 1 Core / 1GHz
RAM : 250 MB
Disk : 1 GB

Disclaimer

Do not risk money which you are afraid to lose. USE THE SOFTWARE AT YOUR OWN RISK. THE AUTHORS AND ALL AFFILIATES ASSUME NO RESPONSIBILITY FOR YOUR TRADING RESULTS.

Always start by running a trading bot in simulation mode and do not engage money before you understand how it works and what profit/loss you should expect.

Please feel free to read the source code and understand the mechanism of this bot.

License

GNU General Public License v3.0 or later.

See GPL-3.0 LICENSE to see the full text.

Institutionals

If you are an institutional interested by a white label solution, a commercial license, or custom development to suit your specific needs, have a look at our institutional offers.

OctoBot dependencies

gotrue postgrest urllib3 websockets

FAQs

What is OctoBot?

Cryptocurrencies alert / trading bot. Visit Snyk Advisor to see a full health score report for OctoBot, including popularity, security, maintenance & community analysis.

Is OctoBot popular?

The python package OctoBot receives a total of 4,673 weekly downloads. As such, OctoBot popularity was classified as a recognized. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is OctoBot well maintained?

We found that OctoBot demonstrated a healthy version release cadence and project activity. It has a community of 20 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is OctoBot safe to use?

The python package OctoBot was scanned for known vulnerabilities and missing license, and no issues were found. Thus the package was deemed as safe to use. See the full health analysis review.

Last updated on 20 December-2024, at 20:25 (UTC).

Build a secure application checklist

Select a recommended open source package

Minimize your risk by selecting secure & well maintained open source packages

DONE

Scan your app for vulnerabilities

Scan your application to find vulnerabilities in your: source code, open source dependencies, containers and configuration files

SCAN NOW

Fix identified vulnerabilities

Easily fix your code by leveraging automatically generated PRs

AUTO FIX

Monitor for new issues

New vulnerabilities are discovered every day. Get notified if your application is affected

MONITOR APP

JetBrains with PyCharm Pro.
Special thanks to Chatwoot for providing their customer engagement platform.
Special thanks to Scaleway for hosting OctoBot's cloud services.

Package Health Score

Explore Similar Packages

Direct Usage Popularity

Security and license risk for latest version

Commit Frequency

Embed Package Health Score Badge

Keep your project healthy

Check your requirements.txt

Snyk Vulnerability Scanner

Not sure how to use OctoBot?

OctoBot 2.0.7

Octobot Community

What is Octobot ?

Installation

One click deployment using DigitalOcean

Manual installations

Exchanges

Paper trading

Real trading

Follow your investments

Testing trading strategies

Contribute from a browser IDE

Hardware requirements

Disclaimer

License

Institutionals

Sponsors

OctoBot dependencies

FAQs

What is OctoBot?

Is OctoBot popular?

Is OctoBot well maintained?

Is OctoBot safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Source Code

Open Source

Container

Config

Fix identified vulnerabilities

Monitor for new issues