⚡ Python library for getting publically available Mutual Funds data in India
indian-stock-market 开源项目推荐(287 个)
indian-stock-market 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 287 个仓库Free REST API for NSE and BSE Indian stock market data. Real-time stock prices, company info, and market data via Yahoo Finance. Perfect for n8n, Zapier, trading bots, and automation. No API key required. Python Flask. MIT License.
Indian stock market MCP server for NSE & BSE — 48 tools (55 with aliases) for about 8,000 stocks: live quotes, financials, technicals, 326-ratio screener, FII/DII flows, option chains & IV, filings, IPOs & portfolio. Remote (OAuth) or npx. Works with Claude, ChatGPT, Cursor, VS Code, Codex & Gemini CLI
Vibe Trading——面向印度市场的智能人工智能交易平台。7名LLM分析师代理并行分析股票,辩论多熊,并提出交易计划。开源的代理定量研究者,专注于NSE/BSE/NFO。
AI-driven intraday trading bot for Indian stocks. Jev ranks the Nifty 50 every 15s; code sizes each trade and places the stop; orders go live through Zerodha Kite or Kotak Neo. Day replay, kill switch, daily loss halt, terminal dashboard.
An unofficial Python API for BSE India Stock Exchange
⚡ This Project gives you an overall idea for Forecasting Mutual Funds
This library utilizes Kite Connect APIs to fetch the option chain of all the derivatives traded in the Indian stock market.
Claude Code skills for Indian stock market investors and traders — NSE/BSE analysis, F&O strategies, technical charting, fundamental screening, Indian taxation, and trading workflows.
9 Claude Code skills for Indian stock trading — technical analysis, position sizing, stop-loss, trailing stops, risk-reward, multi-timeframe, RSI divergence, Fibonacci. Works with NSE/BSE via Groww MCP. Zero dependencies.
In Stock Market Prediction, our aim is to build an efficient Machine Learning model to predict the future value of the financial stocks of a company.Our machine learning model will be presented to retail investors with a third-party web app with the help of Streamlit.
Kronos AI: Tiny Model That Beats Expensive Trading Bots - Open-source foundation model for financial candlesticks with Ollama Llama 3.2 Indian market analysis.
Relative Rotation Graphs (RRG) for Indian stock markets (NSE, NIFTY) to track sector rotation and relative strength. Uses RS-Ratio and RS-Momentum to identify outperforming and weakening sectors, based on the Julius de Kempenaer RRG methodology, adapted for Indian equity markets
Predicting Indian stock prices using Stacked LSTM model. Analysing Reliance, Tata Steel, HDFC Bank, Infosys data. Data prep, EDA, hyperparameter tuning.
Institutional-quality equity research reports for NSE/BSE stocks. Generate comprehensive Buy/Sell/Hold analysis with zero hallucination using Claude Code. Multi-model valuation, forensic accounting, technical analysis & TAM sizing. MIT License.
🧠 AI based Indian stock market prediction with deep learning framework. Predicts 5-day OHLC prices + Buy/Hold/Sell Signals with candlestick visualization.
Indian Stock Research MCP server — turn Claude into a personal equity analyst powered by live Screener.in data
Production-grade simulated broker for NSE & BSE paper trading — realistic fees, T+1 settlement, live prices, and an Alpaca-style API
An agent that helps you predict the next day's stock prices using LLMs
That script is getting data of NFO`s OPTIDX from AngelOne using SmartApi
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/indian-stock-market。
- 该话题在 GitHub 上共有 287 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 1484 Star,覆盖 4 种主要语言,数据更新于 2026-11-13。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。