FMZ Strategy Development Across Languages and Visual Tools
Summary
This platform guide surveys the ways to build trading strategies in FMZ, including JavaScript, TypeScript, Python, Rust, C++, Pine, a domain-specific language, Blockly, and visual workflows. It explains selected development features: JavaScript asynchronous requests and concurrency patterns, TypeScript type checking and editor support, Python interpreter selection and custom modules, and options for encrypting Python strategy code when it is shared or rented. Examples illustrate platform-specific programming behavior, including the limitation that wrapping a synchronous market-data call in a promise does not make the call nonblocking.
The guide also describes Pine scripts, block-based programming, and node-based workflows, including their use for assembling and backtesting trading logic. It is mainly a development reference rather than a discussion of trading methods or investment results. Its examples and platform-specific claims may depend on the FMZ runtime and version; the excerpt provides no comparative evaluation of languages, independent performance evidence, or security audit. Users need to verify current platform behavior and assess the risks of their own code and deployment setup.
Key ideas
- FMZ supports several programming languages as well as block-based and workflow strategy design.
- JavaScript examples cover asynchronous HTTP requests, promises, timers, and worker threads.
- A promise wrapper does not make a synchronous market-data call nonblocking.
- The guide describes TypeScript checking and Python interpreter, module, and code-sharing options.
- Visual workflows provide nodes for data access, indicators, conditions, and trade execution.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.