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What is QuantRocket?

QuantRocket is a versatile platform that utilizes Python for the research, backtesting, and execution of quantitative trading strategies. Designed with Docker, it can be conveniently deployed on local machines or cloud environments, showcasing an open architecture that allows for significant customization and expansion. The platform features a JupyterLab interface and includes a comprehensive set of data integrations, along with support for various backtesting frameworks, such as Zipline—originally the backbone of Quantopian; Alphalens for alpha factor analysis; Moonshot, a backtester leveraging pandas; and MoonshotML, which focuses on walk-forward machine learning backtesting. Additionally, users can benefit from its flexibility to adapt to diverse trading needs and strategies as they evolve.

What is JetBrains DataSpell?

Effortlessly toggle between command and editor modes with a single keystroke while using arrow keys to navigate through cells. Utilize the full range of standard Jupyter shortcuts to create a more seamless workflow. Enjoy the benefit of interactive outputs displayed immediately below the cell, improving visibility and comprehension. While working on code cells, take advantage of smart code suggestions, real-time error detection, quick-fix features, and efficient navigation, among other helpful tools. You can work with local Jupyter notebooks or easily connect to remote Jupyter, JupyterHub, or JupyterLab servers straight from the IDE. Execute Python scripts or any expressions interactively in a Python Console, allowing you to see outputs and variable states as they change. Divide your Python scripts into code cells using the #%% separator, which enables you to run them sequentially like in a traditional Jupyter notebook. Furthermore, delve into DataFrames and visual displays in real time with interactive controls, while benefiting from extensive support for a variety of popular Python scientific libraries, such as Plotly, Bokeh, Altair, and ipywidgets, among others, ensuring a thorough data analysis process. This robust integration not only streamlines your workflow but also significantly boosts your coding productivity. As you navigate this environment, you'll find that the combination of features enhances your overall coding experience.

Media

Media

Integrations Supported

Docker
DigitalOcean
Google Cloud Platform
Microsoft Azure
NGINX
SQLite

Integrations Supported

Docker
CSV Editor
Code With Me
Cody
Continue
EasyCode
Firebender
JetBrains Gateway
JupyterHub
Lingma
Python
Qodo
R
SQL
Supermaven

API Availability

Has API

API Availability

Pricing Information

Pricing not provided
Free Version

Pricing Information

$229

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Supported Platforms

Windows
Mac
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

QuantRocket

Date Founded

2018

Company Location

United States

Company Website

www.quantrocket.com

Company Facts

Organization Name

JetBrains

Date Founded

2000

Company Location

Czech Republic

Company Website

www.jetbrains.com/dataspell/

Categories and Features

Financial Research

Not specified

Categories and Features

AI IDEs

Not specified

Data Science

Not specified

IDE

Not specified

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