tradingview-screenerScreen markets across 6 asset classes using TradingView data. API pre-filters + pandas computed signals. YAML-driven strategies.
Install via ClawdBot CLI:
clawdbot install lukebaze/tradingview-screenerGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Accesses sensitive credential files or environment variables
/etc/passwdPotentially destructive shell commands in tool definitions
eval(AI Analysis
The skill definition shows no evidence of sending user data to unauthorized servers, credential harvesting, obfuscation, or hidden instructions. The primary risk is the potential for unsafe shell command execution via the `eval()` pattern in rule-based signals, but this is not actively demonstrated in the provided definition.
Audited Apr 16, 2026 · audit v1.0
Generated Mar 1, 2026
Individual investors can use this skill to screen stocks based on market cap, price changes, and technical indicators like moving averages and RSI. It helps identify potential buy or sell opportunities by filtering thousands of stocks quickly without requiring TradingView authentication.
Crypto traders can screen cryptocurrencies for signals such as volume breakouts or oversold conditions to optimize entry and exit points. The skill supports multiple asset classes, allowing for cross-market analysis and risk diversification in volatile crypto markets.
Financial analysts at firms can automate market scans across stocks, bonds, and forex to generate reports on trends like golden crosses or sector performance. The YAML-driven strategies enable customizable, repeatable analysis for client presentations or internal decision-making.
Quantitative developers can integrate this skill into trading bots to compute real-time signals using pandas expressions and pre-filters. It supports backtesting by applying technical indicators across different timeframes, enhancing automated trading strategies.
Finance educators and students can use the skill to demonstrate market screening concepts, such as filter operators and signal types, in a hands-on way. It provides access to extensive field data for learning about asset classes and technical analysis without cost barriers.
Offer a cloud-hosted version of the skill with enhanced features like real-time alerts, advanced analytics, and API access for a monthly fee. Target retail investors and small funds seeking automated screening tools without setup overhead.
License the skill to financial institutions and brokerages to integrate into their platforms, providing clients with built-in screening and signal capabilities. Customize it with branded interfaces and additional data sources.
Provide a free basic version for individual use, with paid upgrades for advanced signals, historical data exports, and priority support. Monetize through upselling to power users and professional traders.
💬 Integration Tip
Ensure the virtual environment is correctly set up by running the install script first, and use the provided Python paths to avoid dependency conflicts when executing scripts.
Scored Apr 19, 2026
No API KEY needed for free tier. Professional-grade cryptocurrency and stock market data integration for real-time prices, company profiles, and global analytics. Powered by Node.js with zero external dependencies.
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