#Stock-market
Showing 60 of 320 repositories tagged #stock-market, ranked by stars
FinceptTerminal is a modern finance application offering advanced market analytics, investment research, and economic data tools, designed for interactive exploration and data-driven decision-making in a user-friendly environment.
TuShare is a utility for crawling historical data of China stocks
OpenStock is an open-source alternative to expensive market platforms. Track real-time prices, set personalized alerts, and explore detailed company insights — built openly, for everyone, forever free.
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.
ValueCell is a community-driven, multi-agent platform for financial applications.
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
A curated list of practical financial machine learning tools and applications.
This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.
🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.
Track stocks, crypto, and derivatives prices and positions in real time from your terminal
modular quant framework.
150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data
TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning :fire: :zap: :rainbow:
:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling
Open Source Algo Trading Platform for Everyone
Stock market tracker for hackers.
This is a library to use with Robinhood Financial App. It currently supports trading crypto-currencies, options, and stocks. In addition, it can be used to get real time ticker information, assess the performance of your portfolio, and can also get tax documents, total dividends paid, and more. More info at
Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
Python client for Alpaca's trade API
Unofficial Documentation of Robinhood Trade's Private API
A system that performs algorithmic trading
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
A beginner-friendly yet powerful Python toolkit for financial analysis and automation — built to make modern investing accessible to everyone
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! 👀
quant framework for stock
An Open Source Portfolio Backtesting Engine for Everyone | 面向所有人的开源投资组合回测引擎
A package that lets you create TradingView screeners in Python
Python wrapper for an unofficial Yahoo Finance API
Technical Analysis Library for Golang
python tools for Finance with the functionality of indicator calculation, business day calculation and so on.
The Go FIX Protocol Library :rocket:
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
专业的金融数据获取工具库 - A Professional Financial Data Fetching Toolkit for Python
Technical analysis library for Rust language
An easy and lightweight wrapper for using the Charles Schwab API.
Asynchronous, event-driven algorithmic trading in Python and C++
Tuchart is a visualization interface for the Chinese stock market. Tuchart supports candlestick charts, price charts, tick data, high-frequency data and distribution of top shareholders for individual stocks. Tuchart是一个基于pyqt和echarts的股票视觉化应用。Tuchart 支持日／月线，分笔，高频数据，前十股东分笔的视觉化
🔐 AI decoding Trump's posts × stock market | AI 解碼川普推文 × 美股 | AIでトランプ投稿×株式市場を解読 — 31.5M models, 61.3% hit rate, open source
:bar_chart: Financial markets data library implemented in go.
Finance application that provides more than 60 different alternative data to retail investors
Python-based framework for backtesting trading strategies & analyzing financial markets [GUI :neckbeard:]
Twelve Data Python Client - Financial data API & WebSocket
Alpaca Trading API integrated with backtrader
Simple algorithmic stock and option trading for Node.js.
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
📈A command line tool to view stock charts in the terminal.
Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock selections.
MaverickMCP - Personal Stock Analysis MCP Server
Stonks is a terminal based stock visualizer and tracker that displays realtime stocks in graph format in a terminal. See how fast your stonks will crash.
Download live and historical data for Indian stock market
Fetch stock quote data from Yahoo Finance
Curated list of resources for traders, such as tools, websites, and books related to trading stocks.
VietNam Data Stock Market Price
Teaches step-by-step to analysis stock data in python.
📈 PatternPy: A Python package revolutionizing trading analysis with high-speed pattern recognition, leveraging Pandas & Numpy. Effortlessly spot Head & Shoulders, Tops & Bottoms, Supports & Resistances. For experts & beginners. #TradingMadeEasy 🔥
Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models
qlib助手, 每日自动预测a股 👇
多因子指数增强策略/多因子全流程实现
Python interface to IEX and IEX cloud APIs