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datagridSolution
datagridSolutionOFFICIAL
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Technical Rating

Aggregate oscillator and moving-average signals into a single buy/neutral/sell rating.

Updated Aug 23, 2026
Search Tags:#technical analysis#quantitative scoring#multi-timeframe#market rating#indicator aggregation#trading signal#crypto screening
One-click install
npx skills add https://github.com/datagridSolution/forex-trading-ai-agent --skill technical-rating-datagridsolution
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Technical Rating
Source: https://github.com/datagridSolution/forex-trading-ai-agent/tree/main/skills/technical-rating
Command: npx skills add https://github.com/datagridSolution/forex-trading-ai-agent --skill technical-rating-datagridsolution

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It solves the problem of turning many technical indicators into a single, easy-to-interpret buy/neutral/sell rating for decision-making.

Core Features & Use Cases

  • Aggregate indicator signals: Computes oscillator and moving-average sub-ratings and combines them into one Technical Rating (Strong Buy to Strong Sell).
  • Multi-timeframe consensus: Produces ratings across multiple timeframes and derives an overall consensus signal.
  • AI-style enhancements: Applies dynamic weighting concepts such as agreement-based confidence, plus context adjustments like trend/volatility emphasis (as implemented by the skill’s heuristic logic).
  • Use case: If you want to screen markets, generate a rating for many symbols on a given timeframe and then focus on those with Strong Buy signals.

Quick Start

Ask an AI to call getTechnicalRating for symbol BTCUSDT on timeframe 1h and return the resulting rating, signal, and summary.

Frequently Asked Questions about Technical Rating

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I aggregate multiple technical indicators into a single buy or sell signal?▼

You can calculate a multi-timeframe consensus by applying the technical rating across several timeframes simultaneously, deriving an overall categorical signal from Strong Buy to Strong Sell to assess market trends.

How do I screen multiple crypto symbols for strong buy trading signals?▼

You can screen crypto symbols by running batch technical rating retrieval to generate scores for many assets on a given timeframe, allowing you to filter and focus on those returning Strong Buy signals.

Does this tool require historical OHLCV data to calculate quantitative scoring?▼

Yes, calculating quantitative scoring requires historical market data to compute the underlying oscillator and moving-average indicator subcomponents before mapping the final numeric rating to categorical trading signals.

What is the best way to convert moving average and oscillator data into a market rating?▼

The best way to convert moving average and oscillator data into a market rating is by applying dynamic weighting concepts like agreement-based confidence and trend emphasis to produce a single categorical technical rating.

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