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- .claude/CLAUDE.md - .claude/commands/subagentes.md - .claude/rules/INDEX.md - .mcp.json - bash/functions/cybersecurity/analyze_dns.md - bash/functions/cybersecurity/audit_http_headers.md - bash/functions/cybersecurity/audit_ssh_config.md - bash/functions/cybersecurity/check_firewall.md - bash/functions/cybersecurity/detect_suspicious_users.md - bash/functions/cybersecurity/encrypt_file.md - ... Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
44 lines
1.4 KiB
Markdown
44 lines
1.4 KiB
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, pendiente-usar]
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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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params:
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- name: data
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desc: "lista de precios o valores (ej: precios de cierre diarios)"
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- name: period
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desc: "tamanio de la ventana movil en numero de periodos (tipico: 5, 10, 20). Mayor periodo = bandas mas suave."
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- name: num_std
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desc: "numero de desviaciones estandar para las bandas (tipico: 2.0 para 95% de los datos en rango)"
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output: "tupla (upper, middle, lower) donde cada elemento es una lista de floats con len(data) - period + 1 elementos"
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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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