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sngyai avatar

sngyai/Sequoia-X

0
View on GitHub↗
4,543 estrellas·1,018 forks·Python·12 vistas

Sequoia X

Sequoia-X es un sistema de screening de acciones cuantitativo diseñado para escanear mercados financieros en busca de acciones que coincidan con patrones técnicos y criterios cuantitativos específicos después de que finaliza el día de negociación. Funciona como un escáner de análisis técnico que detecta automáticamente rupturas de precios y picos de volumen utilizando datos de mercado históricos y diarios.

El sistema integra una caché de datos de mercado para obtener datos públicos de API de acciones en una base de datos local para una recuperación y análisis más rápidos. Además, opera como un bot de notificaciones de Feishu, utilizando un mecanismo de alerta basado en webhooks para enviar resultados de selección de acciones filtrados a grupos de mensajería de Feishu.

El proyecto cubre un flujo de trabajo de trading automatizado que incluye ingesta de datos, gestión de almacenamiento local y screening cuantitativo. Estos procesos se gestionan a través de un pipeline programado que se ejecuta después del cierre del mercado de valores para entregar selecciones de acciones filtradas.

Features

  • Quantitative Signal Generators - Generates trading signals by applying mathematical filters to technical indicators such as volume spikes and relative strength.
  • Technical Stock Screeners - Provides a system to filter securities based on technical indicators, price breakouts, and quantitative criteria.
  • Historical Price Data Fetchers - Downloads and stores historical price data from public APIs to prepare it for quantitative analysis.
  • Technical Pattern Selection - Automates the selection of stocks by screening for technical breakouts and volume spikes after market close.
  • Quantitative Trading Workflows - Implements a complete automated workflow spanning data ingestion, technical scanning, and delivery of stock picks.
  • Financial Market Analysis - Analyzes financial market trends and calculates technical indicators automatically after the stock market closes.
  • Market Data Providers - Provides interfaces for fetching historical and real-time stock price information from external market data providers.
  • Technical Analysis - Automatically identifies price breakouts and volume spikes using mathematical formulas and historical market data.
  • Financial Data Retrieval APIs - Implements REST requests to retrieve daily and historical stock price and fundamental data from public financial APIs.
  • Local Data Caches - Caches historical price data in a local database to reduce API call volume and network latency.
  • Local Data Stores - Manages the local persistence of historical and daily stock price data fetched from external APIs.
  • Market Data Caching - Stores financial metrics in a local caching layer to optimize the performance of quantitative screening queries.
  • Webhook Notification Delivery - Delivers filtered stock lists to remote messaging platforms via HTTP POST requests to specific webhook endpoints.
  • Feishu and Lark Integrations - Integrates with Feishu messaging groups to push automated stock selection alerts via webhooks.
  • Trade Notification Systems - Pushes alerts and lists of filtered stocks to the Feishu messaging platform for immediate review.
  • Scheduled Task Pipelines - Automates the data ingestion and analysis pipeline using a system timer to run after the trading day ends.

Historial de estrellas

Gráfico del historial de estrellas de sngyai/sequoia-xGráfico del historial de estrellas de sngyai/sequoia-x

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Preguntas frecuentes

¿Qué hace sngyai/sequoia-x?

Sequoia-X es un sistema de screening de acciones cuantitativo diseñado para escanear mercados financieros en busca de acciones que coincidan con patrones técnicos y criterios cuantitativos específicos después de que finaliza el día de negociación. Funciona como un escáner de análisis técnico que detecta automáticamente rupturas de precios y picos de volumen utilizando datos de mercado históricos y diarios.

¿Cuáles son las características principales de sngyai/sequoia-x?

Las características principales de sngyai/sequoia-x son: Quantitative Signal Generators, Technical Stock Screeners, Historical Price Data Fetchers, Technical Pattern Selection, Quantitative Trading Workflows, Financial Market Analysis, Market Data Providers, Technical Analysis.

¿Qué alternativas de código abierto existen para sngyai/sequoia-x?

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