mathieu2301/tradingview-api

📈 Get real-time stocks from TradingView

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Summary Information

Updated 1 hour ago
Added to GitGenius on September 14th, 2026
Created on March 5th, 2021
Open Issues & Pull Requests: 103 (+0)
GitHub issues: Enabled
Number of forks: 903
Total Stargazers: 5,092 (+0)
Total Subscribers: 76 (+0)

Repository Insights (GitGenius)

Median issue/PR response: N/A
Mean response time: 37.2 days
90th percentile: 1.7 hours
Tracked items: 30

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How this project is maintained

100% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Three people close 64% of everything that gets resolved.

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Issue Activity (beta)

Open issues: 24
New in 7 days: 1
Closed in 7 days: 0
Avg open age: 694 days
Stale 30+ days: 23
Stale 90+ days: 22

Recent activity

Opened in 7 days: 1
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • bug (19)
  • enhancement (7)
  • question (1)

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Detailed Description

TradingView API is a JavaScript library that retrieves real-time market prices and technical indicator values from TradingView.

The library solves the problem of accessing TradingView data programmatically without relying on official APIs. It works by scraping TradingView's platform to extract real-time stock prices, cryptocurrency data, and indicator calculations. The tool supports premium features, technical analysis retrieval, and backtesting of trading strategies with multiple indicator configurations simultaneously. It offers both real-time data access and replay modes, including a free replay option for users without premium accounts.

Developers building trading bots, backtesting frameworks, or alert systems should consider this library if they need direct access to TradingView data and indicators. The tool suits projects requiring technical analysis values, strategy backtesting across many settings, or integration with Discord alerts. It handles invite-only indicators and allows retrieval of drawings made on charts, which distinguishes it from basic market data APIs. The library works with both stocks and cryptocurrencies across multiple timeframes.

The project maintains active community engagement through a dedicated Telegram group for support and collaboration. Development is responsive to feature requests, with the maintainer explicitly inviting users to propose additions. The codebase includes a comprehensive examples folder to help users understand implementation patterns, and the maintainer asks that users review existing examples and resolved issues before opening new ones to keep the issue tracker focused on genuine bugs and library-specific problems.