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Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-14 00:28:20 +02:00

1.4 KiB

name, kind, lang, domain, version, purity, signature, description, tags, uses_functions, uses_types, returns, returns_optional, error_type, imports, params, output, tested, tests, test_file_path, file_path
name kind lang domain version purity signature description tags uses_functions uses_types returns returns_optional error_type imports params output tested tests test_file_path file_path
bollinger_bands function py finance 1.0.0 pure def bollinger_bands(data: list, period: int, num_std: float) -> tuple Calcula las Bandas de Bollinger (upper, middle, lower) de una serie de precios.
finance
bollinger
volatility
indicator
python
pendiente-usar
sma_py_finance
false
name desc
data lista de precios o valores (ej: precios de cierre diarios)
name desc
period tamanio de la ventana movil en numero de periodos (tipico: 5, 10, 20). Mayor periodo = bandas mas suave.
name desc
num_std numero de desviaciones estandar para las bandas (tipico: 2.0 para 95% de los datos en rango)
tupla (upper, middle, lower) donde cada elemento es una lista de floats con len(data) - period + 1 elementos false
python/functions/finance/finance.py

Ejemplo

prices = [10, 11, 12, 13, 14, 15, 14, 13, 12, 11]
upper, middle, lower = bollinger_bands(prices, 5, 2.0)
# middle es la SMA(5), upper/lower son middle +/- 2*std

Notas

Retorna tupla de tres listas (upper, middle, lower). Cada lista tiene len(data) - period + 1 elementos. La desviacion estandar se calcula sobre la ventana de tamanio period (poblacional, no muestral). Usa internamente la funcion sma para la banda media.