Score financial assets from 0 to 100 using multi-factor quantitative analysis.
npx skills add https://github.com/kayzaa/k.i.t.-bot --skill ai-score-engine
Please help me install this Agent Skill. Skill: ai-score-engine Source: https://github.com/kayzaa/k.i.t.-bot/tree/main/src/skills/ai-score-engine Command: npx skills add https://github.com/kayzaa/k.i.t.-bot --skill ai-score-engine
This Skill provides an automated, quantitative scoring system for financial assets, helping users make more informed trading and investment decisions by consolidating complex market data into a single, actionable score.
Score the asset BTC/USDT using the default configuration.
High-intent search queries and answers about installing and using this skill.
Financial asset scoring evaluates assets by consolidating technical, momentum, sentiment, and fundamental data into a single 0-100 score, helping traders make informed decisions without manually analyzing complex market data.
Yes, you can batch screen a watchlist of assets and compare their resulting 0-100 scores, ratings, and trading signals to identify top-rated opportunities for potential long positions.
You can define custom scoring weights and thresholds for technical, momentum, sentiment, and fundamental factors, ensuring the generated asset scores and trading signals match your specific trading strategy.
Yes, the system supports historical score tracking and generates trading signals, alerting you when an asset's consolidated score crosses critical buy or sell thresholds.
Evaluating market sentiment and fundamental data together is best achieved through a multi-factor quantitative model that integrates these metrics with technical and momentum indicators to output a unified 0-100 rating.
Automated quantitative scoring consolidates market data into actionable scores but relies on customizable weights and thresholds, meaning users must configure parameters carefully to avoid inaccurate trading signals.
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