LLM驱动的 A/H/美股智能分析器：多数据源行情 + 实时新闻 + LLM决策仪表盘 + 多渠道推送，零成本定时运行，纯白嫖. LLM-powered stock analysis system for A/H/US markets.

量化研究-券商金工研报复现

Performance analysis of predictive (alpha) stock factors

Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis

Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau

Find big moving stocks before they move using machine learning and anomaly detection

Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.

Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/

Stock Indicators for .NET is a C# NuGet package that transforms raw equity, commodity, forex, or cryptocurrency financial market price quotes into technical indicators and trading insights. You'll need this essential data in the investment tools that you're building for algorithmic trading, technical analysis, machine learning, or visual charting.

A STock Analysis and Research tool for terminal(cli) users. 技术控和命令行爱好者的 A 股辅助分析工具。

Use NLP to predict stock price movement associated with news

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

LSTM-RNN Tutorial with LSTM and RNN Tutorial with Demo with Demo Projects such as Stock/Bitcoin Time Series Prediction, Sentiment Analysis, Music Generation using Keras-Tensorflow

Analysis of SMA outfit (blackbox) use in public equity markets for real-time insight into wealth distribution and direct stock market influence. A call for transparency and public discourse.

Indicator Go delivers a rich set of technical analysis indicators, customizable strategies, and a powerful backtesting framework. No dependencies, just pure simplicity. ✨ See how! 👀

使用python进行股票分析和选股

Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock selections.

Advanced TradingView MCP Server for AI-powered market analysis. Real-time crypto & stock screening, technical indicators, Bollinger Band intelligence, and candlestick patterns. Works with Claude Desktop & AI assistants. Multi-exchange support (Binance, KuCoin, Bybit+). Open source trading toolkit.

The NSE has a website which displays the option chain in near real-time. This program retrieves this data from the NSE site and then generates useful analysis of the Option Chain for the specified Index or Stock. It also continuously refreshes the Option Chain and visually displays the trend in various indicators useful for Technical Analysis.

AI-based stock analysis and trading system

My Insight Data Engineering Fellowship project. I implemented a big data processing pipeline based on ​lambda architecture​, that aggregates Twitter and US stock market data for user sentiment analysis using open source tools - ​Apache Kafka ​for data ingestions, Apache Spark ​& ​Spark Streaming ​for batch & real-time processing, ​Apache Cassandra f​ or storage, ​Flask​, ​Bootstrap and ​HighCharts f​ or frontend.

:chart_with_upwards_trend: Python package for trend detection on stock time series data :chart_with_downwards_trend:

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Technical Indicators used in Stock Market Analysis

MaverickMCP - Personal Stock Analysis MCP Server

Teaches step-by-step to analysis stock data in python.

Project analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is used with multiple features to predict stock prices and then sentimental analysis is performed using news and reddit sentiments. GANs are used to predict stock data too where Amazon data is taken from an API as Generator and CNNs are used as discriminator.

Indicator TS delivers a rich set of technical analysis indicators, customizable strategies, and a powerful backtesting framework. No dependencies, just pure simplicity. ✨ See how! 👀

Using data analytics alongside popular trading strategies and indicators, to identify best trading actions based solely on the price action.

🔌 Claude Code Plugin for institutional-grade equity research. Install with /plugin marketplace add. Generates professional buy/sell recommendations with comprehensive fundamental analysis, technical indicators, and risk assessment. Educational use only - not financial advice.