Popular GitHub Repositories for Alphavantage

Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall

Stock market prediction using Keras

AI-powered stock analysis tool that provides comprehensive fundamental research using Alpha Vantage API and advanced language models.

这是一个为股票交易员设计的量化交易原型网页应用。该应用允许股票交易员使用布林带、指数移动平均线（EMA）、简单移动平均线（SMA）和相对强弱指标（RSI）等指标分析股票，并结合K线图观察特定交易时段内的价格波动、速度、成交量和动量。应用还会对交易策略进行回测，以确定盈利能力并减少损失。

AlphaVantage 的 MCP 服务器

RAG-based API for stock market news and sentiment analysis, leveraging Llama 3.1 70B model, Groq, AlphaVantage, and FastAPI, with a Streamlit frontend.

Explore the GPT-500 repository for 20 hand-picked stocks, performance charts, and a ChatGPT agent refining financial insights. :octocat: :chart_with_upwards_trend:

这篇Medium文章提供了一个逐步指南，讲解如何使用Python SDK、AlphaVantage和Claude.ai构建一个市场情绪预测（MCP）服务器。文章详细介绍了整个构建过程，涵盖了数据获取、处理、分析和最终预测结果的呈现。它适合有一定Python编程基础和对金融市场数据分析感兴趣的读者。文章中使用了AlphaVantage获取市场数据，Claude.ai进行情绪分析，并通过Python SDK将这些组件整合到一个服务器应用中。读者可以通过学习这篇文章，了解如何利用这些工具构建一个能够预测市场情绪的系统。