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performance-testing

Measure indicator calculation speed with BenchmarkDotNet, a benchmarking tool for .NET. Compare batch, incremental, and streaming implementations, detect slowdowns against saved results, and evaluate changes intended to reduce processing time and memory allocations.

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原文查看原文说明

Benchmark indicator performance with BenchmarkDotNet. Use for Series/Buffer/Stream benchmarks, regression detection, and optimization patterns. Target 1.5x Series for StreamHub, 1.2x for BufferList.

foryourhealth111-pixel/Vibe-Skills

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适用场景

Comparing batch, incremental, and streaming performance
Detecting performance regressions after code changes
Adding benchmarks for a new indicator
Evaluating memory allocation optimizations

包含的文件（2）

SKILL.md3.1 KB
references/benchmark-patterns.md3.6 KB

SKILL.md（原文）

安装前可以查看交给 AI 代理的指令内容。

Performance testing

Running benchmarks

cd tools/performance

# Run all benchmarks (~15-20 minutes)
dotnet run -c Release

# Run specific category
dotnet run -c Release --filter *StreamIndicators*
dotnet run -c Release --filter *BufferIndicators*
dotnet run -c Release --filter *SeriesIndicators*

# Run specific indicator
dotnet run -c Release --filter *.EmaHub

Adding benchmarks

Series pattern

[Benchmark]
public void ToMyIndicator() => quotes.ToMyIndicator(14);

Stream pattern

[Benchmark]
public object MyIndicatorHub() => quoteHub.ToMyIndicatorHub(14).Results;

Buffer pattern

[Benchmark]
public MyIndicatorList MyIndicatorList() => new(14) { quotes };

Style comparison

[Benchmark]
public IReadOnlyList<MyResult> MyIndicatorSeries() => quotes.ToMyIndicator(14);

[Benchmark]
public IReadOnlyList<MyResult> MyIndicatorBuffer() => quotes.ToMyIndicatorList(14);

[Benchmark]
public IReadOnlyList<MyResult> MyIndicatorStream() => quoteHub.ToMyIndicator(14).Results;

Performance targets

Note: These are optimization goals for future v3.1+ effort. Current implementations vary—see PERFORMANCE_ANALYSIS.md for actual measured performance. Some indicator families (e.g., EMA) have inherent framework overhead due to simple operation costs.

Style	Target vs Series	Use Case
Series	Baseline	Batch processing
BufferList	≤ 1.2x	Incremental data
StreamHub	≤ 1.5x	Real-time feeds

Expected execution times (502 periods)

Note: These are optimization targets. Actual execution times vary by indicator complexity and current implementation.

Complexity	Time	Examples
Fast	< 30μs	SMA, EMA, WMA, RSI
Medium	30-60μs	MACD, Bollinger Bands, ATR
Complex	60-100μs	HMA, ADX, Stochastic
Advanced	100-200μs+	Ichimoku, Hurst

Regression detection

# Auto-detect baseline and results
pwsh detect-regressions.ps1

# Custom threshold (default 10%)
pwsh detect-regressions.ps1 -ThresholdPercent 15

Exit codes:

0 - No regressions
1 - Regressions found

Creating baselines

cp BenchmarkDotNet.Artifacts/results/Performance.*-report-full.json \
   baselines/baseline-v3.0.0.json

Required optimization patterns

Minimize allocations in hot paths
Avoid LINQ in performance-critical loops
Use Span<T> for zero-copy operations
Cache calculations when possible
Test with realistic data sizes (502 periods)

Prohibited patterns

Excessive LINQ in hot paths
Boxing/unboxing of value types
Unnecessary string allocations
Redundant calculations in loops
Poor cache locality

See references/benchmark-patterns.md for detailed patterns.

Last updated: December 31, 2025

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