@_zheergen: Holy cow! TradingView screener data has been made into a Python library — tvscreener, 1.2K stars, 51K+ PyPI downloads! No need to open a browser or manually flip through TradingView's filters. pip install tvscre…

X AI KOLs Timeline Tools
tradingview python-library screener quantitative-finance open-source pandas mcp

Summary

Introduces tvscreener, a Python library that can directly fetch TradingView stock screener data, supports multiple markets and 13,000+ technical indicators, returns Pandas DataFrame, and is convenient for quantitative strategy use.

Holy cow! TradingView stock screener data has been made into a Python library — tvscreener, 1.2K stars, 51K+ PyPI downloads! No need to open a browser or manually flip through TradingView's filters. pip install tvscreener, and use Python code to pull stocks, crypto, forex, futures, and bond data directly. Combine 13,000+ technical indicator fields however you want, get results as a Pandas DataFrame, and plug them straight into your quant strategy. Core features: Get screener data without logging into TradingView Supports a large number of technical indicators and fundamental fields Results returned directly as Pandas DataFrame for easy downstream analysis Clean API design with chained filter support Covers stocks, crypto, forex, futures, and other markets Also supports MCP for easy integration with AI tools like Claude For anyone who wants to batch-filter instruments with code, or hook TradingView's screening ability into their own quant workflow, this library is quite practical. Previously, using TradingView to screen stocks: open the webpage → click the screener → manually add conditions → take a screenshot → manually enter data into Excel. Now with tvscreener, three lines of code scan the entire market, and data goes directly into your strategy. A Python interface for TradingView's stock screener — someone finally built it.
Original Article
View Cached Full Text

Cached at: 08/10/26, 07:35 PM

Whoa! TradingView’s screener data has been turned into a Python library — tvscreener, 1.2K stars, 51K+ PyPI downloads!

No browser needed, no manually clicking through TradingView’s screener. pip install tvscreener, and Python code pulls stock, crypto, forex, futures, and bond data directly — 13,000+ technical indicator fields can be freely combined, and results are returned as a Pandas DataFrame, ready to plug straight into your quant strategy.

Core features:

  • Fetch screener data without logging into TradingView
  • Supports a wide range of technical indicator and fundamental fields
  • Returns results directly as a Pandas DataFrame for easy downstream analysis
  • Clean API design, supports chained filtering
  • Covers stocks, crypto, forex, futures, and other markets
  • Also supports MCP, making it easy to integrate with AI tools like Claude

For anyone who wants to batch-screen instruments with code, or hook TradingView’s screening capability into their own quant workflow, this library is genuinely practical.

The old way of screening with TradingView: open the webpage → click the screener → manually add conditions → take a screenshot → manually enter data into Excel.

The new way: tvscreener scans the entire market in three lines of code, and the data goes straight into your strategy. Someone finally built a Python interface for TradingView’s screener.

爱吃折耳根的Ace (@_zheergen): Whoa! Found another comprehensive one in the curated quant trading resource collection

awesome-systematic-trading, compiled by wangzhe3224, categorizes and aggregates tools and resources related to systematic trading — currently at 4.8K Stars.

Main coverage:

1️⃣ Backtesting & live trading frameworks (backtrader, Freqtrade, https://t.co/61CVvVgX7e, Nautilus, etc.) 2️⃣ AI /

Similar Articles

@_zheergen: Guys! Found another all-in-one Python stock tool — InStock. The myhhub/stock repository covers A-share quantitative analysis quite comprehensively: data scraping, indicator calculation, stock selection, backtesting, and automated trading all in one. Let me highlight the core features: Real-time A-share data scraping + 30…

X AI KOLs Timeline

Introduces the open-source Python tool InStock (myhhub/stock) for A-share quantitative analysis, supporting data scraping, technical indicators, stock selection, backtesting, automated trading, etc., and can be deployed via Docker.

@geekbb: Open-source A-share quantitative workstation, using TickFlow data for three tasks: stock selection, real-time monitoring, and backtesting. Built-in 20 stock selection strategies (Polars vectorization runs all A-shares in seconds), supports no-code custom signals, AI strategy writing, multi-condition monitoring rules + Feishu push. https:…

X AI KOLs Timeline

Open-source A-share quantitative workstation, based on TickFlow data, implements three functions: stock selection, real-time monitoring, and backtesting. Built-in 20 Polars vectorized strategies, supports AI strategy writing and Feishu push.

@Saccc_c: Claude Code + TradingView = The Most Awesome Trading Charting Combo TradingView is the most commonly used charting tool for US stock and crypto investors, and now it can be fully integrated with Claude Code via MCP. In less than 5 minutes, you can...

X AI KOLs Following

This article introduces an open-source tool called TradingView MCP Bridge, which connects Claude Code with the locally running TradingView Desktop via the MCP protocol, enabling AI to read charts in real time, develop Pine Script strategies, perform historical backtesting, etc., forming a powerful trading charting combo.