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Libreria de ejemplo curso Ullua\n\u003cbr\u003e\u003cbr\u003e\n\nEsta librería tiene como finalidad empezar a generar contenido de los scripts que vayan armando los alumnos del curso de python para traders de @Ullua  https://twitter.com/Ullua\n\n\u003cbr\u003e\u003cbr\u003e\n## Instalación\n\n\n```sh\npip install juanpy\n```\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n## Ejemplo para ubicar máximos y mínimos locales\n\n  * Gráfico 1: \n      Precios de cierre con mínimos y máximos encontrados\n  \n  * Grafico 2: Precios de cierre con lineas de soportes y resistencias desde cada máximo y mínimo encontrado\n  \n  * Gráfico 3: Precios de cierre con zona alcista, bajista o lateral \n      En función de las pendientes de los últimos pares de mínimos y máximos encontrados \n\n\n```python\nimport juanpy\n\njuanpy.trends(ticker='TWTR')\n```\n\n\u003cdiv align=\"center\"\u003e\n  \u003cimg border=\"0\"  src=\"images/example1.png\" width=\"700\"\u003e\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n### Ejemplo con cambio de escala y cambio de sensibilidad, y parámetros:\n\u003cbr\u003eLa sensibilidad la tomará en cantidad de velas para encontrar nuevos máximos y/o mínimos locales\n\n```python\nimport juanpy\n\ndf = juanpy.trends('TWTR', start='2014-06-01', end='2020-01-01', sensibilidad=60, escala='log')\n```\n\n\u003cdiv align=\"center\"\u003e\n  \u003cimg border=\"0\"  src=\"images/example2.png\" width=\"700\"\u003e\n\u003c/div\u003e\n\n\n\u003cbr\u003eDevuelve un dataframe con \n* los valores de máximos y mínimos vigentes a cada fecha (vMin y vMax) \n* las pendientes resultantes de unir los dos úlitmos mínimos y los dos últimos máximmos (pMin y pMax) apto apra canales\n* La tendencia a partir de las pendientes de los últimos máximos y mínimos en cada punto (-1 para bajista, 0 para lateral y 1 para alcista)\n\n\u003cdiv align=\"center\"\u003e\n  \u003cimg border=\"0\"  src=\"images/example3.png\" width=\"700\"\u003e\n\u003c/div\u003e\n\n## Ejemplo para graficar ondas\n\nInterpola máximos y mínimos de una manera mas suavizada basado en el script de las tendencias\n\n\n```python\nimport juanpy\n\njuanpy.waves('TWTR', sensibilidad=60, escala='log')\n```\n\u003cdiv align=\"center\"\u003e\n  \u003cimg border=\"0\"  src=\"images/example4.png\" width=\"700\"\u003e\n\u003c/div\u003e\n\n## Créditos\n\nUtilizamos las librerías:\n- yfinance https://github.com/ranaroussi/yfinance\n- pandas https://github.com/pandas-dev/pandas\n- matplotlib https://github.com/matplotlib/matplotlib\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgauss314%2Fjuanpy","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgauss314%2Fjuanpy","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgauss314%2Fjuanpy/lists"}