Next-Gen Algo API Development: Empowering Agility, Safety, and Performance

Algo API Framework Workflow

Rigid, pre-packaged algorithms can leave trading desks lacking the precision and level of control they need. That’s where the Marvelsoft Algo API makes a difference.

Think of it as the “Driver and Car” analogy: Just as a driver uses the steering wheel and pedals to control a complex engine without needing to be a mechanic, our API allows you to control a high-performance trading engine without deep-diving into its codebase. It handles the “heavy lifting” such as FIX connectivity, market rules, and market data, so you can focus entirely on your strategy.

 

The Hybrid Approach: Speed Meets Agility

Historically, building custom algorithms meant compromising between speed and ease of development. Our framework eliminates that tradeoff with a hybrid approach:

  • Speed: The core execution engine remains fast and is built purely in C++ for maximum precision.
  • Agility: Trading strategies are written in a modern, safe, and flexible scripting environment using TypeScript and Lua.
  • No Compromise: You get professional-grade performance without sacrificing rapid development cycles.

 

Key Capabilities

1. Eyes on the Market (Market Data Mastery)

Your strategy needs to “see” the market with microsecond precision. The API offers full visibility with real-time access to Best Bid/Offer (Level 1) and Full Order Books (Level 2). You can monitor multiple instruments at once with smart subscriptions and query instant market snapshots to make perfectly informed decisions.

 

2. Flawless Execution (Precision Order Management)

The underlying engine manages complex exchange rules automatically. You get native support for Limit, Market, and IOC orders, alongside dynamic control to modify price or quantity on-the-fly. Smart tracking also provides real-time feedback on every order so you know exactly when you are accepted, filled, or rejected.

 

3. Intelligent Utilities

Precision Timing: Schedule actions for specific times (e.g., “Exit at Market Close”) or set timeouts.

Tick Arithmetic: Built-in helpers understand “Ticks” and “Lot Sizes,” ensuring your orders are always valid for the specific exchange.

Logging: Each algorithm gets its own “flight recorder” for easy auditing and debugging.

 

Algo API Framework

 

A Superior Developer Experience & Lifecycle

We highly recommend TypeScript for built-in type safety, though Lua is also provided for fast and lightweight support. The platform provides full support for the Jest framework, allowing you to run unit tests locally in Node.js and validate your logic rapidly without deploying. When you are ready for E2E testing, you can use our Market Simulator and lightweight OMS in a UAT environment.

 

Building on those testing capabilities, the API framework supports a rigorous 5-step lifecycle designed for institutional risk management:

 

Algo & Unit Test Writing: Rapidly code and test locally in Node.js before ever hitting a live environment.

Market Testing: Utilise the simulator to mimic market events and execution messages against your algorithm to see exactly how it would have performed under real conditions.

Scenario Enrichment: Go beyond standard testing by integrating custom market agents to model specific, complex market behaviors and edge cases.

Seamless Deployment: When it’s time to deploy, there are no database migrations, secondary deployments, or infrastructure changes needed. Because the API is a native component of our platform, you simply package your file, upload it to a designated directory, and restart the solution to activate your strategy. Sandboxed execution ensures that your custom logic prevents broader system crashes.

Metrics & Reporting: Once live, track key performance and risk metrics, and effortlessly export raw data for ongoing quantitative analysis.

 

Conclusion

Marvelsoft’s Algo API is more than just an API; it is a complete ecosystem for trading innovation. You are no longer limited to pre-built templates. Instead you focus on the what (trading logic, signals, and goals), and our engine handles the how.

Interested in exploring this further or seeing a demo? Reach out to us at [email protected] or visit our contact page to get started.