Choose Your Path
This quickstart will help you get started based on your specific needs and goals.
New to Datafye? Start with What is Datafye? to learn about the platform's architecture and capabilities.
Choose Your Scenario
Datafye offers flexible deployment options based on what you're trying to accomplish. Choose the path that best matches your needs:
For Algorithm Development
If you're developing trading algorithms and want to test them with market data:
🌥️ Foundry: Data Cloud Only
Best for: Developers who want to use their own containerized algo engines
How it works:
What Datafye Provides
Low latency market data (historical and live replay)
What You Bring
Your algo container
Your backtesting framework
Your scorecarding framework
What You Do
Develop your algo in your own container
Backtest using Datafye data and your backtesting framework
Optimize and scorecard using your own tools
Time to first data: ~10 minutes
→ Get Started with Data Cloud Only
🚀 Foundry: Full Stack
Best for: Developers who want the complete Datafye algo development experience
How it works:
What Datafye Provides
Low latency market data (historical and live replay)
Advanced backtesting with parallelization
Genetic algorithm-based optimization
Performance scorecarding
What You Bring
Nothing - Datafye provides the complete stack
What You Do
Develop your algo using the Datafye SDK
Backtest and optimize using Datafye's built-in tools
Time to first backtest: ~20 minutes
→ Get Started with Full Stack Foundry
For Paper & Live Trading
If you're ready to connect your algos to a broker for paper or live trading:
📊 Trading: Data Cloud + Broker
Best for: Developers with their own algo containers who want to paper trade or live trade
How it works:
What Datafye Provides
Low latency market data (live)
Broker connector for paper and live trading
Portfolio management
What You Bring
Your algo container
What You Do
Validate your algo performance with paper trading
Deploy to live trading when ready
Time to first paper trade: ~20 minutes
→ Get Started with Data Cloud + Broker
💼 Trading: Full Stack
Best for: Complete trading environment with all Datafye features
How it works:
What Datafye Provides
Low latency market data (live)
Broker connector for paper and live trading
Portfolio management
Real-time monitoring and metrics
What You Bring
Nothing - Datafye provides the complete stack
What You Do
Execute your algo using the Datafye Algo Container
Validate performance with paper trading
Deploy to live trading when ready
Time to first paper trade: ~15 minutes
→ Get Started with Full Stack Trading
Deployment Options
Datafye supports two deployment models based on your needs:
Standalone Deployment
All services run on a single machine.
Where you can deploy:
Any machine with sufficient resources (desktop, laptop, physical server, virtual server, or cloud IaaS instance)
Available for:
Algo development (Foundry scenarios)
Paper trading only
Requirements: Sufficient resources available on the machine (see Prerequisites below)
Cost: Free
Distributed Deployment
Services are spread across multiple machines for scalability and production workloads.
Where you can deploy:
IaaS cloud providers (AWS, Azure, GCP, ...)
Private physical machine banks (coming soon)
Deployment options:
Self-managed: In your own cloud account (free)
Algo development (Foundry scenarios)
Paper trading only
Datafye Managed: In a cloud account dedicated to you under the Datafye root account, operated by Datafye (paid)
Algo development (Foundry scenarios)
Paper and live trading
Ensures compliance, monitoring, and operational excellence
Each deployment provides complete resource isolation and performance consistency.
Learn more: See Private Cloud Deployments for detailed information about deployment architecture, security, and scaling.
Not Sure Which Path to Choose?
Still deciding? Check out Choosing Your Approach for a detailed comparison of each option.
Prerequisites
Before you begin any quickstart, ensure you have:
Docker installed and running
8GB+ RAM available
20GB+ free disk space
Internet connection for downloading images and data
Ready to get started? Choose your path above!
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