Query TradingView screener data for stocks across multiple markets.
npx skills add https://github.com/ninehills/skills --skill tvscreener
Please help me install this Agent Skill. Skill: tvscreener Source: https://github.com/ninehills/skills/tree/main/skills/tvscreener Command: npx skills add https://github.com/ninehills/skills --skill tvscreener
Traders and analysts often struggle to programmatically access and filter TradingView screener data across multiple markets. This skill provides a programmable interface to query and refine stock data, including technical indicators, by market and symbol.
Install the tvscreener package and run a sample script to fetch a quick market snapshot.
High-intent search queries and answers about installing and using this skill.
To query TradingView screener data, use this Skill to programmatically access multi-market stock discovery and technical analysis via the tvscreener API, filtering by market and symbol.
Yes, you can retrieve technical indicators like RSI and MACD by performing single-symbol lookups or custom queries using the tvscreener library to fetch targeted technical data.
The tvscreener package requires Python 3.10 or higher to run sample scripts and successfully integrate screener results into your data-driven workflows.
The best way to integrate screener results is by running the provided Python scripts to fetch market snapshots, then passing the extracted technical data into your analytical pipelines.
The tvscreener library is limited to programmatic access of TradingView screener data and technical indicators, meaning it functions strictly as a data extraction tool rather than a backtesting engine.
Tyler-R-KendrickCreate isolated Python environments for SageMaker and AWS automation tasks.
biomaps-infraProcess and analyze large tabular datasets exceeding RAM using Vaex.
bluegitterBacktests trading strategies on historical market data with Python.
logeshv586-codeRetrieve real-time and historical financial data for market analysis.
