Building Your First Algo
This guide walks you through building your first algorithmic trading strategy with Datafye. The approach you take depends on whether you're using your own containers or Datafye's managed Algo Container.
Choose Your Approach
Build algos in your own containerized environment, giving you complete control over your technology stack and infrastructure.
Best for:
Developers with existing algo infrastructure
Teams with custom frameworks and tools
Use cases requiring specific languages or libraries
Maximum flexibility and control
You'll learn:
Setting up your development environment
Connecting to Datafye Data Cloud APIs
Consuming historical and real-time market data
Implementing trading logic in your containers
Deploying and testing your algo
Scenarios: Foundry: Data Cloud Only and Trading: Data Cloud + Broker
Build algos using Datafye's managed Algo Container and SDK, with integrated backtesting, optimization, and AI-assisted development.
Best for:
Developers building algos from scratch
Teams wanting integrated development tools
Use cases leveraging AI-assisted development
Focus on strategy logic, not infrastructure
You'll learn:
Setting up the Datafye Algo Container SDK
Using AI-assisted algo development with MCP servers
Implementing signal generation with SDK abstractions
Running backtests and optimizing parameters
Deploying to production
Scenarios: Foundry: Full Stack and Trading: Full Stack
What You'll Need
Before starting, ensure you have:
Development environment - Your preferred IDE/editor and containerization tools (own container) or Java 17+ (Datafye container)
Market data credentials - Data provider API keys configured in your deployment
Broker credentials (Trading scenarios only) - Brokerage API keys for paper/live trading
Related Documentation
Choose Your Path - Select and provision your Datafye scenario
Choosing Your Approach - Understand the four Datafye scenarios
REST & WebSocket API - API reference for own-container scenarios
Algo SDK Reference - SDK documentation for Datafye container scenarios
Integrating with AI Agents - Set up AI-assisted development
Last updated: 2025-10-22
Last updated

