ai-screenerIntellectia stock/crypto screener for Bullish/Bearish Tomorrow/Week/Month presets. Calls /gateway/v1/stock/screener-list (no auth) and summarizes results.
Install via ClawdBot CLI:
clawdbot install xanxustan/ai-screenerGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://api.intellectia.ai`Uses known external API (expected, informational)
amazonaws.comAudited Apr 16, 2026 · audit v1.0
Generated Mar 20, 2026
A day trader uses the skill to quickly fetch the 'Stocks Bullish Tomorrow' preset each morning, filtering for high probability (>=70) and sorting by profit to identify top candidates for intraday trades. This helps them prioritize stocks with strong AI-predicted upward momentum based on proven patterns, saving time on manual screening.
A crypto investor runs the 'Cryptos Bullish for a Month' preset weekly to spot long-term opportunities, using the market_cap and price filters to focus on mid-cap assets. They integrate the results into their portfolio management tool to adjust holdings based on AI-driven trend forecasts, aiming to enhance returns over monthly cycles.
A financial advisor uses the skill to generate bearish screener lists like 'Stocks Bearish for a Week' for risk assessment in client portfolios. They summarize results with key fields like symbol, probability, and profit to provide data-driven insights in reports, helping clients avoid potential downturns identified by AI analysis.
A quantitative analyst scripts repeated calls to the API via Python, varying parameters like period_type and trend_type to collect historical screener data. They use this to backtest AI prediction accuracy against actual market movements, refining their own models for algorithmic trading strategies.
A finance educator uses the skill in workshops to demonstrate real-time market screening, explaining concepts like probability and profit to students. They compare bullish vs. bearish presets for stocks and cryptos, making complex AI-driven analysis accessible for learning purposes.
Offer a subscription-based platform that integrates this skill, providing enhanced features like alerts, historical data dashboards, and custom preset creation. Revenue comes from monthly fees, targeting individual traders seeking AI-powered stock and crypto insights without coding.
License the underlying API to banks, hedge funds, or fintech companies, allowing them to embed the screener data into their proprietary systems. Revenue is generated through annual licensing deals, with tiered pricing based on data volume and support levels.
Provide free access to basic screener results via a website or app, monetizing through premium reports, affiliate links to brokerage platforms, and sponsored content. This model attracts a broad user base and converts them into paying customers or generates commission-based income.
💬 Integration Tip
Install the skill via clawhub and start a new OpenClaw session to ensure it's active; use preset names in queries for simplicity, and specify output fields like probability and profit for clear summaries.
Scored Apr 19, 2026
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