RL-Bitcoin-trading-bot | Trying to create Reinforcement Learning powered Bitcoin | Bot library

by pythonlessons Python Version: Current License: MIT

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

kandi X-RAY | RL-Bitcoin-trading-bot Summary

RL-Bitcoin-trading-bot is a Python library typically used in Automation, Bot, Bitcoin applications. RL-Bitcoin-trading-bot has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However RL-Bitcoin-trading-bot build file is not available. You can download it from GitHub.

Trying to create Reinforcement Learning powered Bitcoin trading bot

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Quality

Security

License

Reuse

Support

RL-Bitcoin-trading-bot has a low active ecosystem.

It has 316 star(s) with 200 fork(s). There are 25 watchers for this library.

It had no major release in the last 6 months.

There are 18 open issues and 6 have been closed. On average issues are closed in 58 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of RL-Bitcoin-trading-bot is current.

Quality

RL-Bitcoin-trading-bot has no bugs reported.

Security

RL-Bitcoin-trading-bot has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

RL-Bitcoin-trading-bot 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

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

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

Top functions reviewed by kandi - BETA

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

Creates a test agent
Render the environment
Resets the graph
Perform a single step
Returns a pandas DataFrame of Indicators
Takes a DataFrame and returns a DropDownCorrelatedFeature
Takes a DataFrame and returns similar features
Drop correlations in a DataFrame
Train an agent
Calculate the next action
Creates a writer for the run
Start training log
Render a heatmap
Plots indicators
Performs a multi - threaded test
Load model weights
Normalize a DataFrame
Fetch data points
Add indicators to the dataframe
Generate random games
Plots OHCL
Extract other features from a DataFrame
Wrapper around DropCorrelatedFeature

Get all kandi verified functions for this library.

RL-Bitcoin-trading-bot Key Features

No Key Features are available at this moment for RL-Bitcoin-trading-bot.

RL-Bitcoin-trading-bot Examples and Code Snippets

No Code Snippets are available at this moment for RL-Bitcoin-trading-bot.

Community Discussions

Trending Discussions on RL-Bitcoin-trading-bot

Problem with write to file resulting in Errno 22

QUESTION

Problem with write to file resulting in Errno 22

Asked 2021-May-14 at 12:31

I'm learning python and programming and while following a tutorial I ran into an issue that's resulting in an Errno 22. Thank you!

...

ANSWER

Answered 2021-May-14 at 12:31

Colons are not allowed in filenames under Windows.

Use another character for separating those time components.

Also, your filename=... doesn't do what you expect, since parameter default values are evaluated only once, when the module is imported.

You're probably looking for

Source https://stackoverflow.com/questions/67534380

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

Vulnerabilities

No vulnerabilities reported

Install RL-Bitcoin-trading-bot

You can download it from GitHub.
You can use RL-Bitcoin-trading-bot 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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