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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.

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Claude Code

$ npx -y skills add foryourhealth111-pixel/Vibe-Skills --skill performance-testing --agent claude-code

SKILL.md

performance-testing.SKILL.md
name: performance-testing
description: 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.

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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Questions about performance-testing.

Which coding agents can use performance-testing?
performance-testing installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.