💹 Market & Finance Data

TradingView Screenerv1.1.0

Name: TradingView Screener
Author: hiehoo

tradingview-screener

Screen markets across 6 asset classes using TradingView data. API pre-filters + pandas computed signals. YAML-driven strategies.

data-analysisfinancetrading

Download Package View on ClawHub

Installs (all time)

Installs (current)

Downloads

2.6K

Stars

CreatedFeb 9, 2026

UpdatedFeb 26, 2026

Install & Quick Start

Install via ClawdBot CLI:

clawdbot install hiehoo/tradingview-screener

Skill Package18 files

📋SKILL.mdmarkdown

Failed to load file.

Quality Score

B59/100

Grade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.

Market Validation10/35

· 4 installs (very low)
· 1537 downloads (moderate demand)
· 2 stars

Documentation16/25

· SKILL.md present
· Detailed documentation (≥3000 chars)
· Detailed summary

Package Completeness8/15

· skillAssets present (17 files)

Security Analysis

💙 Low Risk

CREDENTIAL_ACCESShigh

Accesses sensitive credential files or environment variables

/etc/passwd

UNSAFE_SHELLmedium

Potentially 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

💡

Usage Guide

Generated Mar 1, 2026

Retail InvestorsFinancial AnalystsQuantitative Tradersintermediate

💡 Application Scenarios

Retail Investor Stock ScreeningFinance/Investing

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 Portfolio ManagementCryptocurrency

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.

Institutional Research and ReportingFinancial Services

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.

Algorithmic Trading Signal GenerationFinTech

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.

Educational Market AnalysisEducation

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.

💼 Business Models

Subscription-Based SaaSMonthly subscriptions ranging from $20 to $200 per user

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.

White-Label Solution for BrokeragesAnnual licensing fees starting at $10,000 per client

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.

Freemium with Premium Add-OnsOne-time purchases or tiered subscriptions up to $500 annually

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.