egutierrez
113c6dfd71
11 funciones puras con implementación real: SMA, EMA, RSI, BollingerBands, VWAP, LogReturn, AnnualizedVolatility, SharpeRatio, MaxDrawdown, NormalizeOHLCV, TickToOHLCV 4 funciones impuras (stubs): FetchOHLCV, StreamTicks, WriteOHLCVToParquet, LoadOHLCVFromDuckDB Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
34 lines
828 B
Markdown
34 lines
828 B
Markdown
---
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name: ema
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kind: function
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lang: go
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domain: finance
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version: "1.0.0"
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purity: pure
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signature: "func EMA(data []float64, period int) []float64"
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description: "Calcula la media movil exponencial (EMA) sobre una serie de datos con un periodo dado."
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tags: [finance, indicator, ema, moving-average]
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uses_functions: []
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uses_types: []
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returns: []
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returns_optional: false
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error_type: ""
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imports: []
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tested: false
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tests: []
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test_file_path: ""
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file_path: "functions/finance/ema.go"
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---
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# ema
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Calcula la media movil exponencial (Exponential Moving Average). Se inicializa con la SMA de los primeros `period` elementos. El multiplicador es `2 / (period + 1)`.
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## Ejemplo
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```go
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result := finance.EMA([]float64{10, 11, 12, 13, 14, 15}, 3)
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// result[2] = SMA de los primeros 3 = 11.0
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// result[3] en adelante usa suavizado exponencial
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```
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