Algorithmic-Trading | Algorithmic trading using machine learning | Machine Learning library

by SravB Python Version: Current License: GPL-3.0

X-Ray Key Features Code Snippets Community Discussions(4)Vulnerabilities Install Support

kandi X-RAY | Algorithmic-Trading Summary

Algorithmic-Trading is a Python library typically used in Artificial Intelligence, Machine Learning, Pandas applications. Algorithmic-Trading has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However Algorithmic-Trading build file is not available. You can download it from GitHub.

This machine learning algorithm was built using Python 3 and scikit-learn with a Decision Tree Classifier. The program gathers stock data using the Google Finance API and pandas. The data is illustrated using matplotlib. The red lines illustrate the stock price movements when we are not holding the stock while the green lines show these movements when we are holding the stock. The blue lines illustrate cash levels over time, where we start with $100 (so in this case, we can also interpret this as the percentage return on the stock). The expected cash value is the return we would have received if we simply held onto the stock for the entire period. The performance is the ratio between the cash value over the expected cash value and is expressed as a percentage.

Support

Quality

Security

License

Reuse

Support

Algorithmic-Trading has a low active ecosystem.

It has 102 star(s) with 50 fork(s). There are 13 watchers for this library.

It had no major release in the last 6 months.

Algorithmic-Trading has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Algorithmic-Trading is current.

Quality

Algorithmic-Trading has 0 bugs and 0 code smells.

Security

Algorithmic-Trading has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Algorithmic-Trading code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Algorithmic-Trading 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.

Reuse

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

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

It has 177 lines of code, 2 functions and 2 files.

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

Top functions reviewed by kandi - BETA

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

Compute the decision tree .

Get all kandi verified functions for this library.

Algorithmic-Trading Key Features

No Key Features are available at this moment for Algorithmic-Trading.

Algorithmic-Trading Examples and Code Snippets

No Code Snippets are available at this moment for Algorithmic-Trading.

Community Discussions

Trending Discussions on Algorithmic-Trading

for loop with pandas shows error when dealing with large data in jupyter

No matching distribution found for scs==2.1.4

Trying to import GitHub module

OANDA Deprecated REST API

QUESTION

for loop with pandas shows error when dealing with large data in jupyter

Asked 2022-Feb-13 at 15:31

I am using Jupyter notebook on Windows.

I am trying to populate data for all the stocks of the S&P 500. I created a pandas dataframe and am populating for each stock: ticker, price and market capitalization.

Here is the code:

...

ANSWER

Answered 2022-Feb-10 at 22:05

requests.get(api_url) is not fetching anything for a token somewhere between 50th and 500th row. You could put in an if condition to check if it's not None first before calling the json method:

Source https://stackoverflow.com/questions/71072691

QUESTION

No matching distribution found for scs==2.1.4

Asked 2021-Jul-14 at 13:54

I'm using conda 4.10.3 on Windows 10 64bit.

I'm trying to create a conda environment with these two files: ml4t.yml and ml4t-base.yml.

First, I have tried with:

mamba env create -f installation/windows/ml4t.yml

I get an error, so I have tried with:

mamba env create -f installation/ml4t-base.yml

The first file, ml4t.yml, is to create the environment with the latest versions of the libraries used in the notebooks (as of April 2021).

The second file, ml4t-base.yml, is to create the environment with the latest library versions as of whenever you read this.

You can find more information about installation here.

On both cases I have an error with pip and scs package.

With the first one file, ml4t.yml, I get this error message:

ERROR: No matching distribution found for scs==2.1.4

And with the second one I get this error message:

...

ANSWER

Answered 2021-Jul-14 at 13:54

I have solved my problem moving most of the pip package to install them with mamba.

I have changed the original file ml4t.yml letting the pip section as follows:

Source https://stackoverflow.com/questions/68366032

QUESTION

Trying to import GitHub module

Asked 2021-Mar-04 at 23:24

I'm trying to import https://github.com/chrisconlan/algorithmic-trading-with-python in my code. I've never imported anything from GitHub before and have looked at various other questions that have been asked on Stack Overflow regarding this problem but it just doesn't work. When I try to run the 'portfolio.py' code for example I keep getting a ModuleNotFound error for 'pypm'. What exactly is the correct way to import such a module or the whole GitHub directory? I'm working with Visual Studio Code on Windows.

...

ANSWER

Answered 2021-Mar-04 at 23:17

You will need to pip install the module. In your case the command you would need to run is python -m pip install -U git+https://github.com/chrisconlan/algorithmic-trading-with-python. Once you have done that you need to find the name of the module. You can do this with pip list. Find the name of the module you just installed. Then you just stick import at the top of your code with the rest of your imports.

Source https://stackoverflow.com/questions/66484347

QUESTION

OANDA Deprecated REST API

Asked 2020-Jun-30 at 20:33

As a means of learning the very basics of algorithmic trading and OANDA, I found a tutorial on how to make a very basic trading algorithm to "practice" algorithmic trading. The only issue is that the tutorial uses OANDA's v1 REST API, whereas it now uses v20 REST API.

The Python module oandapyV20 seems to have replaced oandapy, and it seems like there are methods that have become deprecated in the newest module. For example, on line #7 of the tutorial, it uses a method called get_history, and that seems to be totally deprecated now from what I can tell.

My question is, what could I do to replace the get_history method in particular, and are there any other sections of the code in the tutorial that someone who is familiar with the OANDA v20 REST API might see that are also going to be problematic/need to be totally reworked?

...

ANSWER

Answered 2020-Jun-26 at 02:51

I believe you are looking for the History instrument via the candles

Source https://stackoverflow.com/questions/62418935

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

Vulnerabilities

No vulnerabilities reported

Install Algorithmic-Trading

You can download it from GitHub.
You can use Algorithmic-Trading 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 .

Find more information at: