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What is YourRoboTrader?

Our goal is to provide traders around the world with highly efficient algorithms that yield tangible outcomes. YourRoboTrader is a cutting-edge platform offered by QuantTechnology, a leading fintech company situated in Singapore, celebrated for its proficiency in algorithmic trading and financial advancements. We have diligently crafted and assessed a variety of trading algorithms, successfully identifying the dependable ones that exceed performance expectations. Unfortunately, many trading algorithms do not deliver on their promises, often resulting in trader frustration and losses. For the first time, we are granting individual traders access to the same powerful algorithms typically reserved for institutional investors. Traditional trading can be challenging, requiring constant vigilance and the risk of making impulsive decisions based on emotions. In contrast, algorithmic trading offers a more sophisticated approach. It operates continuously, capturing opportunities that might be missed during your downtime or work commitments. Moreover, you have the ability to backtest your strategies using historical data, ensuring they align with your financial goals and risk appetite, which instills confidence in your trading choices. This method empowers traders to navigate the market landscape with enhanced assurance and accuracy, thus improving their overall trading experience significantly. With the support of YourRoboTrader, traders can unlock new levels of potential in their trading endeavors.

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
MetaTrader 4
MetaTrader 5
Microsoft Azure
Moonshot
NGINX
PostgreSQL
SQLite
Zipline

Integrations Supported

Alpaca
Amazon Web Services (AWS)
DigitalOcean
Docker
Google Cloud Platform
MetaTrader 4
MetaTrader 5
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

Quant Technology

Date Founded

2022

Company Location

Singapore

Company Website

yourrobotrader.com

Company Facts

Organization Name

QuantRocket

Date Founded

2018

Company Location

United States

Company Website

www.quantrocket.com

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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