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Tradingview Quantitative

This skill delivers quantitative investment analysis powered by TradingView data, combining stock screening, technical pattern recognition, and multi-factor scoring to support trading decisions. It integrates real-time quotes, fundamental data, market reviews, and event tracking across multiple timeframes and asset classes.

Tradingview Quantitative helps you build quantitative trading strategies using TradingView data with screening and technical analysis.

AI-generated summary based on this skill's SKILL.md

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Install

hypier/tradingview-quantitative-skills/tradingview-quantitative

git clone https://github.com/hypier/tradingview-quantitative-skills
cp -r tradingview-quantitative-skills ~/.claude/skills/tradingview-quantitative

generated, unverified - the skill's exact subdirectory could not be determined; check the repository on GitHub

npx skillfed install hypier/tradingview-quantitative-skills/tradingview-quantitative

Frequently asked questions

AI-generated answers based on this skill's SKILL.md and metadata

What is Tradingview Quantitative and how does it work?

Tradingview Quantitative is a skill that delivers quantitative investment analysis powered by TradingView data, combining stock screening, technical pattern recognition, and multi-factor scoring to support trading decisions. It integrates real-time quotes, fundamental data, market reviews, and event tracking across multiple timeframes and asset classes to help you build data-driven trading systems.

Can I set up quantitative trading strategies on TradingView?

Yes. Tradingview Quantitative enables you to set up quantitative trading strategies on TradingView by leveraging its stock screening capabilities, technical pattern recognition, and multi-factor scoring. You can combine real-time market data with fundamental analysis to construct systematic trading systems tailored to your quantitative approach.

How does Tradingview Quantitative support backtesting and optimization?

Tradingview Quantitative supports backtesting and optimization of quantitative trading models by providing access to historical data, technical indicators, and multi-factor scoring across multiple timeframes. This allows you to test your algorithmic strategies against past market conditions and refine your models before deploying them in live trading.

What quantitative trading with tradingview analysis methods are available?

Tradingview Quantitative offers statistical and algorithmic analysis methods including technical pattern recognition, multi-factor scoring, stock screening, and event tracking. These tools enable you to analyze markets using data-driven approaches and automate trading decisions based on quantitative signals derived from real-time and historical market data.

Can Tradingview Quantitative automate trading decisions?

Yes. Tradingview Quantitative automates trading decisions through data-driven signals generated by its quantitative analysis framework. By combining technical indicators, fundamental data, and algorithmic pattern recognition across multiple asset classes and timeframes, you can create systematic trading systems that execute based on quantitative criteria rather than manual intervention.

What asset classes and data does Tradingview Quantitative cover?

Tradingview Quantitative covers multiple asset classes and integrates comprehensive market data including real-time quotes, fundamental data, market reviews, and event tracking. This multi-asset, multi-timeframe approach allows you to apply quantitative analysis across different markets and develop diversified algorithmic trading strategies.

Related skills

Tags

algo-trading data-driven-strategies backtesting-framework statistical-models systematic-trading automated-execution quantitative-research market-analysis-tools signal-generation risk-modeling