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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Our open source model provides remarkable adaptability for businesses. Tailor our platform to fit your specific needs, seamlessly integrate it with your current systems, accelerate algorithm deployment, and utilize your internal development teams effectively. Most crucially, it empowers your organization to navigate the ever-evolving regulatory and technological environment. Say goodbye to vendor lock-in with Marketcetera, the sole open source trading platform on the market. You can easily download the complimentary open source product and begin your journey. Being open source allows you the freedom to enhance and personalize the core product to meet your requirements without incurring license fees. This model presents an exceptional chance to lower your firm's infrastructure expenses significantly. You can use the open source version of our solution at no cost, or opt for a support agreement to ensure operational stability and compliance. Whichever path you choose, you will enjoy a reduced total cost of ownership (TCO) and a superior return on investment (ROI) compared to proprietary software or even developing your own system. Additionally, this flexibility ensures you can keep pace with technological advancements and regulatory demands efficiently.

Description

QuantRocket is a Python-based platform for researching, backtesting, and trading quantitative strategies. Built on Docker, QuantRocket can be deployed locally or to the cloud and has an open architecture that is flexible and extensible. 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.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Alpaca No 
Amazon Web Services (AWS) No 
Bamboo Yes 
Confluence Yes 
Crucible Yes 
DigitalOcean No 
Docker No 
Fisheye Yes 
Google Cloud Platform No 
Jira Yes 
Microsoft Azure No 
Moonshot No 
NGINX No 
PostgreSQL No 
SQLite No 
Zipline No 

Integrations

Alpaca Yes 
Amazon Web Services (AWS) Yes 
Bamboo No 
Confluence No 
Crucible No 
DigitalOcean Yes 
Docker Yes 
Fisheye No 
Google Cloud Platform Yes 
Jira No 
Microsoft Azure Yes 
Moonshot Yes 
NGINX Yes 
PostgreSQL Yes 
SQLite Yes 
Zipline Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Marketcetera

Country

United States

Website

www.marketcetera.com

Vendor Details

Company Name

QuantRocket

Founded

2018

Country

United States

Website

www.quantrocket.com

Product Features

Algorithmic Trading

2-Click Trading No 
Analyst on Demand No 
Auto Fibs No 
Auto Trend Lines No 
Backtesting No 
Basket Trading No 
Drawing Tools No 
Pattern Tools No 
Stock Screener No 
Trading From Charts No 

Product Features

Algorithmic Trading

2-Click Trading No 
Analyst on Demand No 
Auto Fibs No 
Auto Trend Lines No 
Backtesting Yes 
Basket Trading No 
Drawing Tools No 
Pattern Tools No 
Stock Screener No 
Trading From Charts No 

Alternatives

Alternatives