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What is QuantShare?

QuantShare is a multifunctional desktop application designed to assist traders in monitoring and assessing market dynamics. In addition to its primary role as stock trading software, it also supports traders in Forex, Futures, Options, and ETFs. The platform offers an abundance of trading resources created by its community members, including data downloaders, watchlists, trading systems, and customizable drawing tools. With QuantShare, users are encouraged to explore their creativity in crafting and backtesting unique trading strategies. The True Portfolio Backtester is particularly noteworthy, recognized as one of the most advanced tools in the trading software landscape. While numerous trading applications offer basic databases for storing quote information, QuantShare elevates this by enabling the creation of multiple historical and intraday databases. These databases can accommodate a wide range of data types, such as Call-Put ratios, news articles, dividend and split details, short selling statistics, and both fundamental and insider information, thereby facilitating in-depth charting, analysis, and testing capabilities. Furthermore, this robust data storage system empowers traders to refine their strategies with insights drawn from diverse market metrics, ultimately enhancing their decision-making process. This blend of features positions QuantShare as a vital tool for both novice and experienced traders alike.

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.

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

QuantShare

Company Website

www.quantshare.com

Company Facts

Organization Name

QuantRocket

Date Founded

2018

Company Location

United States

Company Website

www.quantrocket.com

Categories and Features

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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