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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 AlphaPrime?

AlphaPrime is a Windows application tailored for the in-depth exploration of systematic trading strategies across various markets, including futures and forex. It enables users to define a range of parameters such as the type of market, timeframe, testing duration, costs, and specific rule conditions, which allows the software to generate potential trading strategies, perform backtests, and optimize results according to user-defined criteria. The reports generated provide critical metrics like net profit, drawdown, and profit factor for comprehensive analysis. To enhance performance evaluation, techniques such as out-of-sample testing, walk-forward analysis, and Monte Carlo simulations are utilized. Furthermore, users have the option to export the generated source code to multiple trading platforms, such as MultiCharts, TradingView, TradeStation, NinjaTrader, MetaTrader 4, and MetaTrader 5, where it can be reviewed and executed. The Classic version operates on standard CPU processing, whereas the Reserve edition offers improved functionality with NVIDIA GPU acceleration and supports batch processing workflows. It is essential to emphasize that AlphaPrime is meant strictly for research purposes and does not allow for order execution. Users can experience the software for a week without entering payment information, and those opting for paid licenses benefit from a one-year update plan, with subsequent updates available for an additional fee. Notably, past performance in backtesting does not guarantee future results, which underscores the risks inherent in trading. Overall, AlphaPrime stands as a formidable tool for traders aiming to refine their strategies through thorough analysis and meticulous testing, providing an invaluable resource in the competitive trading landscape. AlphaPrime by Valynox, an NVIDIA Inception program member.

Media

Media

Integrations Supported

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

Integrations Supported

Claude
MetaTrader 4
MetaTrader 5
MultiCharts
NinjaTrader
TradeStation
TradingView

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version

Pricing Information

$1,490 one-time
Classic costs $1,490 one time and includes one year of updates; optional updates after the first year cost $199/year. Reserve costs $2,490 one time and includes one year of updates; optional updates after the first year cost $199/year. Alternatively, Classic is available in 12 monthly installments of $149/month, and Reserve in 12 monthly installments of $249/month. A seven-day free trial is available without a credit card.
Free Trial Offered?

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Supported Platforms

Windows

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

QuantRocket

Date Founded

2018

Company Location

United States

Company Website

www.quantrocket.com

Company Facts

Organization Name

Valynox

Date Founded

2023

Company Location

Taiwan

Company Website

alphaprime.trading/

Categories and Features

Financial Research

Not specified

Categories and Features

Backtesting

Not specified

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