ai-screener_skill

Overview

This skill fetches and summarizes Intellectia screener results for stocks and cryptocurrencies using Bullish/Bearish presets for Tomorrow, Week, and Month. It converts preset names into exact API query parameters, calls the public /gateway/v1/stock/screener-list endpoint, and returns concise summaries or raw JSON on demand. Use it to quickly get model-backed candidate lists and key metrics like probability, profit, price, and trend series.

How this skill works

Pick a preset or supply symbol_type, period_type, and trend_type and the skill builds the query string for GET /gateway/v1/stock/screener-list on https://api.intellectia.ai. It parses data.list and data.detail, extracts fields such as symbol, name, price, change_ratio, probability, profit, klines, and trend_list, then returns a human-readable summary or raw JSON as requested. No authentication is required; the skill supports pagination and common filters (market_cap, price, profit_asc).

When to use it

• Quickly obtain model-driven bullish or bearish candidate lists for stocks or crypto.
• Compare top candidates by probability, predicted profit, or recent price action.
• Convert a UI preset name into API parameters for automation or scripting.
• Retrieve raw JSON for downstream processing or dashboarding.
• Filter and page results when dealing with large screener outputs.

Best practices

• Use one of the provided preset names to avoid manually mapping parameters.
• Request only the fields you need (symbol, price, probability, profit) to simplify output.
• Limit page size and implement exponential backoff if you encounter rate limits.
• Sort by probability or profit depending on whether you prioritize confidence or upside.
• Validate timestamps (Unix seconds) and convert them to your local timezone before display.

Example use cases

• Intellectia screener: Stocks Bullish Tomorrow. Top 10 by probability desc, show symbol,name,price,change_ratio,probability,profit.
• Fetch Cryptos Bearish for a Week, page=1 size=50, filter probability >= 70 and return raw JSON for analysis.
• Automate daily watchlist updates by calling the Stocks Bullish for a Month preset and saving top 20 symbols.
• Run an internal report comparing predicted profit vs actual price movement using klines and trend_list series.