Low-Allocation JSON Parsing for Trading Platform Integrations

Summary

The document outlines a JSON library intended for MetaTrader 5 integrations with language models and other automated systems. Its design uses a contiguous tape for parsing, direct serialization into a byte buffer, numeric parsing techniques, and an iterative state machine. These choices are presented as ways to reduce temporary allocations, serialization latency, and stack risks from deeply nested input. It also describes key lookup and array-size inspection, plus reporting parse errors by row and column.

The included benchmark compares the library with a legacy parser on a complex payload, reporting faster parsing, serialization, and round-trip times on the stated hardware. These are package-reported results; the excerpt gives no independent replication, broader workload comparisons, or details on benchmark methodology beyond payload size. It describes infrastructure rather than a trading strategy, and supplies no evidence that the library improves trading outcomes.

Key ideas

• The parser uses contiguous storage and direct serialization to reduce intermediate allocations.
• An iterative parser is intended to handle deeply nested JSON without recursive stack growth.
• The library offers key and array inspection as well as row-and-column parse error locations.
• Reported benchmark results favor the library on the stated payload, but broader validation is not provided.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.