Audience

Quantitative Traders and Investors

About QuantRocket

QuantRocket is a Python-based platform for researching, backtesting, and trading quantitative strategies. It provides a JupyterLab environment, offers a suite of data integrations, and supports multiple backtesters: Zipline, the open-source backtester that originally powered Quantopian; Alphalens, an alpha factor analysis library; Moonshot, a vectorized backtester based on pandas; and MoonshotML, a walk-forward machine learning backtester. Built on Docker, QuantRocket can be deployed locally or to the cloud and has an open architecture that is flexible and extensible.

Pricing

Free Version:
Free Version available.

Integrations

API:
Yes, QuantRocket offers API access

Ratings/Reviews

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Company Information

QuantRocket
Founded: 2018
United States
www.quantrocket.com

Videos and Screen Captures

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Product Details

Platforms Supported
Cloud
Windows
Mac
Linux
On-Premises
Training
Documentation
Support
Online

QuantRocket Frequently Asked Questions

Q: What kinds of users and organization types does QuantRocket work with?
Q: What languages does QuantRocket support in their product?
Q: What kind of support options does QuantRocket offer?
Q: What other applications or services does QuantRocket integrate with?
Q: Does QuantRocket have an API?
Q: What type of training does QuantRocket provide?
Q: What pricing for support is available for QuantRocket?

QuantRocket Product Features

Algorithmic Trading

Backtesting
2-Click Trading
Analyst on Demand
Auto Fibs
Auto Trend Lines
Basket Trading
Drawing Tools
Pattern Tools
Stock Screener
Trading From Charts