Average Ratings 0 Ratings

Total
ease
features
design
support

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

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

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

Write a Review

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.

Description

Rocket streamlines the process of collecting forensic data from iPhones and computers over the internet. The evidence files collected are seamlessly and automatically sent to either your data center or an AWS S3 bucket. Remote custodians can easily access data collection on-demand, eliminating the need for blank hard drives, specialized forensic tools, remote connections, or in-person visits. Each data collection—whether conducted in the lab, on-site, or remotely—is automatically organized and cataloged into your case by Rocket. Users can log in to a unified dashboard to view real-time updates and the progress of any collection. Additionally, the Rocket dashboard can be enhanced with case management features that allow you to oversee teams, manage tasks, track billable hours, generate client invoices, and monitor deliverables. Rocket ensures that remote data from iPhones and computers is preserved directly to your AWS S3 bucket or data center with ease. By using Rocket, you receive preserved evidence files more quickly, eliminating the hassle of shipping collection kits altogether, and thereby significantly enhancing your forensic data management capabilities.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

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

Integrations

Alpaca No 
Amazon Web Services (AWS) No 
DigitalOcean No 
Docker No 
Google Cloud Platform No 
Microsoft Azure No 
Moonshot No 
NGINX No 
PostgreSQL No 
SQLite No 
Zipline No 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

Deployment

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

Deployment

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

Customer Support

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

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

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

Types of Training

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

Vendor Details

Company Name

QuantRocket

Founded

2018

Country

United States

Website

www.quantrocket.com

Vendor Details

Company Name

Digital DNA Group

Country

United States

Website

www.digitaldnagroup.com

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 

Product Features

eDiscovery

Case Analytics No 
Compliance Management No 
Discussion Threads No 
Document Indexing Yes 
Document Tracking No 
Full Text Extraction Yes 
Keyword Search Yes 
Metadata Extraction Yes 
Topic Clustering No 

Alternatives

Alternatives

Rocket Data Migration Reviews

Rocket Data Migration

Rocket Software