Fixed-Capacity Object Pools for Lower-Variance Indicator Execution

Summary

The article describes a generic MQL5 object pool intended to avoid repeated heap allocation and deallocation in high-frequency indicator code. At initialization, the pool creates a fixed number of payload objects and tracks available slots in an index-based free list. Acquire and Release then retrieve and return objects in constant time without further heap calls. The design stores each object’s pool index to support ownership checks and avoid scanning the pool, while in-use metadata guards against double release. If capacity is exhausted, acquisition returns null rather than allocating more memory.

A sample signal payload separates resettable business data from pool-managed lifecycle fields. A benchmark indicator compares pooled and unpooled object use with timing measurements, providing a way to assess the tradeoff for a particular workload. The article emphasizes that its concern is allocation overhead and timing variation, not a claim of documented heap fragmentation behavior. A pool consumes fixed memory, and the author recommends measuring its benefit first; a single reusable object may be sufficient when simultaneous object demand is low.

Key ideas

• Preallocate a fixed set of objects to remove heap calls from the normal acquire and release path.
• An index-based free list supports constant-time slot access and pool ownership validation.
• Reset payload fields separately from lifecycle metadata managed by the pool.
• Handle exhausted capacity explicitly because acquisition has no heap-allocation fallback.
• Benchmark the workload and consider a single reusable object before adopting a pool.

Tags

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