egutierrez
eaed99e52c
Agrega funciones Python reutilizables organizadas por dominio: - core: composicion funcional (pipe, compose, map, filter, reduce, etc.) - cybersecurity: analisis de amenazas y puertos - datascience: estadisticas y deteccion de outliers - finance: indicadores tecnicos y analisis financiero
36 lines
992 B
Markdown
36 lines
992 B
Markdown
---
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name: bollinger_bands
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kind: function
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lang: py
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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: "def bollinger_bands(data: list, period: int, num_std: float) -> tuple"
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description: "Calcula las Bandas de Bollinger (upper, middle, lower) de una serie de precios."
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tags: [finance, bollinger, volatility, indicator, python]
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uses_functions: [sma_py_finance]
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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: "python/functions/finance/finance.py"
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---
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## Ejemplo
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```python
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prices = [10, 11, 12, 13, 14, 15, 14, 13, 12, 11]
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upper, middle, lower = bollinger_bands(prices, 5, 2.0)
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# middle es la SMA(5), upper/lower son middle +/- 2*std
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```
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## Notas
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Retorna tupla de tres listas (upper, middle, lower). Cada lista tiene len(data) - period + 1 elementos.
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La desviacion estandar se calcula sobre la ventana de tamanio period (poblacional, no muestral).
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Usa internamente la funcion sma para la banda media.
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