#Stock-analysis
Showing 60 of 65 repositories tagged #stock-analysis, ranked by stars
AI 时代的伯克希尔：基于 Claude Code / Codex 的价值投资研究框架。巴菲特·芒格·段永平·李录四大师方法论 + 多Agent并行研究。| AI-era Berkshire: a value investing research framework built for Claude Code / Codex. 4 masters' methodologies + multi-agent adversarial analysis.
量化研究-券商金工研报复现
Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
自托管、零运维的 A 股「选股 + 监控 + 回测」量化工作台 | 基于 TickFlow 数据源 | LLM能力驱使策略定制+个股分析+复盘 | 自由接入第三方个性化扩展数据 | 个人开源 ,非TickFlow官方项目
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.
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.
Indicator Go delivers a rich set of technical analysis indicators, customizable strategies, and a powerful backtesting framework. No dependencies, just pure simplicity. ✨ See how! 👀
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。
盯盘侠 PanWatch · 自托管 AI 盯盘助手，集成 TradingAgents 多 Agent 投资决策 | A股/港股/美股实时监控、持仓管理、智能分析、全渠道推送
一句话搞定个股分析
Teaches step-by-step to analysis stock data in python.
Using data analytics alongside popular trading strategies and indicators, to identify best trading actions based solely on the price action.
多因子指数增强策略/多因子全流程实现
Regression, Scrapers, and Visualization
Stock Indicators for Python. Maintained by @LeeDongGeon1996
A C++ stock market algorithmic trading bot
Find your trading, investing edge using the most advanced web app for technical and fundamental research combined with real time sentiment analysis.
Largest C# stock indicator library with over 750 to choose from and easiest to use with abilities such as making an indicator out of any other indicator or using any moving average with any indicator.
🦉 Augur — 多智能体投资分析系统。13位虚拟投资大师独立分析，加权共识机制，Bloomberg风格Web仪表盘。
Multi-agent equity research system with deterministic signal fusion — 3 specialized agents (ReAct, FinBERT, Plan-and-Solve + RAG) produce BUY/NEUTRAL/SELL decisions through a mathematical Decision Hub. No LLM in the critical path.
Stock scanner with multiple fundamental and technical criteria. Features 80+ filters, AI chatbot (Groq/DeepSeek/Gemini), theme discovery, and StockBee-style breadth indicators.
Korean DART + SEC EDGAR filings as structured Python data for company analysis
🤖 基于深度学习的AI量化投资系统 | Vision-Based Quantitative Trading System with Deep Learning
Build your own AI investment system
原生AI股票研究平台，支持多智能体分析、AI Agent 协作与实时辩论对抗，可配置的大语言模型（LLM）工作流、多源市场数据及报告导出功能。
多智能体 LLM 股票/加密交易决策台 —— 13 位 AI 分析师研究、辩论、风控压测,收敛出可追溯、可实时观看的交易决策。 | Multi-agent LLM trading desk: 13 AI analysts research, debate & stress-test risk to converge on one traceable, streamed stock/crypto trade decision. Not financial advice.
😲🤑Method for Investors and Traders to make Buying and Selling Decisions. 😄Fundamental hare Market Analysis is about using Real data to evaluate a Stock's Value📊 📈 📉
A Python tool to collect, analyze and visualize trading indicators for stocks
A cli tool to streamline financial markets data analysis :wrench:
Financial data analytics with Python
Seamless Finance: Docker-Deployed APIs for Smart Investments. [WORK IN PROGRESS]
The MCP server that will help you trade smarter (or at least try)
AI-powered quantitative trading analysis tool with precise technical indicators and intelligent insights
This program predicts the price of GOOG stock for a specific day using the Machine Learning algorithm called Support Vector Regression (SVR) Linear Regression. Importing flask module in the project is mandatory An object of Flask class is our WSGI application.
NSE BSE Indian Stock Market Data MCP server — search, screen & analyze all 8,200+ NSE/BSE stocks with 34 tools: live quotes, financials, technicals, 326-ratio screener, FII/DII flows, IPOs & portfolio tracking. Works with Claude, ChatGPT, Cursor & any MCP client | tapetide.com
Financial analysis, algorithmic trading, portfolio optimization examples with Python (DISCLAIMER - No Investment Advice Provided, YASAL UYARI - Yatırım tavsiyesi değildir).
EquiCharts is a open-source Stock Charting Widget built entirely with pure TypeScript. Designed with speed and efficiency in mind, it operates with no external dependencies, ensuring fast rendering and smooth interactions for your financial data visualizations.
Enter a US stock ticker, get an analyst grade memo with DCF valuation, peer comparables, news sentiment, and earnings call tone analysis. Multi agent LLM pipeline (Claude + GPT-4o devil's advocate) with strict citation validation. FastAPI + Next.js + pgvector RAG. No hallucinated numbers
AI-powered stock watchlist and daily market report workflow for Claude Code. Track movers, earnings, macro data, and generate structured investment research reports.
Multi-agent会话式金融研究平台。提供专业智能体（价格分析、新闻追踪、宏观经济、深度研究），支持实时流式响应、自动生成8章节投资报告和投资组合监控。采用LangGraph、FastAPI和React技术栈开发。
Developing a long/short equity investment portfolio with Machine Learning predictions using data acquired from web-scraping. Flatiron Module 5 Project.
Design your own Trading Strategy
📈🤑💰 Advanced trading tools and resources for Robinhood Web.
A Python program to analyze & visualize stocks using the CANSLIM method by William J.O'Neil including a calculator to find entry points to add more positions to your portfolio (Pyramid Buying).
A Stock Trading Simulator web application using the MERN stack.
💸Agent-based stock analysis and investment strategy 🔷Microsoft Agent Framework vs.🎰AutoGen
Analyze historical market data using Jupyter Notebooks
Hệ thống phân tích chứng khoán Việt Nam chuyên sâu sử dụng kiến trúc Multi-Agent RAG với CrewAI và Google Gemini.
3rd Year University Undergraduate dissertation project, supervised by https://www.nottingham.ac.uk/computerscience/people/thomas.gaertner focusing on using Natural Language Processing, AI Portfolio Optimisation and Machine Learning to produce an Automated Trading Agent. Received 89% overall.
IAOS(Intelligent analysis of securities)证券智能分析系统：量化选股，量化择时，条件选股
Tutor step-by-step on how to analyze stock data using the R language.
Alpha研究平台
A curated collection of advanced prompt templates for Claude and other LLMs, featuring systematic analysis frameworks like Feynman Technique for academic papers and comprehensive stock valuation methods. Ready-to-use templates with examples and structured workflows for complex analytical tasks.
本项目是一个完整的量化投资因子分析系统，专注于中国股票市场的因子研究和指数增强策略。系统从原始数据获取开始，经过因子生成、预处理、单因子测试，最终实现因子合成和正交化，提供指数增强模型的构建。整个系统采用模块化设计，各个组件之间有明确的数据流转关系，形成了一个完整的量化投资研究框架。
analyze financial data using python: numpy, pandas, etc.
A back-tester for testing stock trading strategies on historical data
AI-powered stock analysis system with React Web UI Gemini/DeepSeek multi-model, technical indicators, sentiment analysis, backtesting, multi-channel notifications (WeChat/Feishu/Telegram/Email)
Rust-native time-series table format with gap/overlap tracking and SQL queries
LSTM stock prediction and backtesting