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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 Blackwave Trading Platform?

Blackwave delivers innovative and aesthetically pleasing solutions specifically designed for trading, quantitative analysis, portfolio optimization, and ready-made strategies, among other offerings. Our dedicated team excels in developing or integrating these solutions for hedge funds, brokers, and professionals in quantitative fields. With a strong focus on innovation, Blackwave provides customized solutions that span trading, quantitative analysis, portfolio optimization, cryptocurrency development, and a variety of other Fintech services. As a prominent player in the IT and advanced technology sectors, we empower our clients to tap into the extensive possibilities that technology offers to create a brighter future. We place great importance on understanding our clients' requirements, delivering exceptional bespoke solutions that are aimed at enhancing their business operations. Our mission centers around aiding institutions and exchange firms in crafting and executing superior Fintech and trading technologies. Each day brings new opportunities and challenges, prompting us to actively search for fresh talent to expand our team. By cultivating a collaborative and encouraging atmosphere, we create pathways for personal and professional development within our organization. This unwavering commitment to excellence not only positions us as leaders in the industry but also strengthens our resolve to shape the future of Fintech. As we continue to innovate, we remain dedicated to adapting our solutions to meet the evolving needs of our clients.

Media

Media

Integrations Supported

Alpaca
Amazon Web Services (AWS)
DigitalOcean
Docker
Google Cloud Platform
Microsoft Azure
Moonshot
NGINX
PostgreSQL
SQLite
Zipline

Integrations Supported

Alpaca
Amazon Web Services (AWS)
DigitalOcean
Docker
Google Cloud Platform
Microsoft Azure
Moonshot
NGINX
PostgreSQL
SQLite
Zipline

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

QuantRocket

Date Founded

2018

Company Location

United States

Company Website

www.quantrocket.com

Company Facts

Organization Name

Blackwave

Company Location

France

Company Website

www.blackwave.trading

Categories and Features

Algorithmic Trading

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

Categories and Features

Algorithmic Trading

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

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