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HuskyDanny
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momentum-signals

Analyze Stochastic Oscillator values to detect momentum signals and divergences.

2|Updated Sep 20, 2025
Search Tags:#momentum#technical analysis#trading signals#divergence#stochastic oscillator#reversal
One-click install
npx skills add https://github.com/HuskyDanny/FinancialAgent --skill momentum-signals
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: momentum-signals
Source: https://github.com/HuskyDanny/FinancialAgent/tree/main/backend/src/agent/skills/technical/momentum-signals
Command: npx skills add https://github.com/HuskyDanny/FinancialAgent --skill momentum-signals

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps traders and analysts identify potential trend reversals by analyzing the Stochastic Oscillator, a key momentum indicator.

Core Features & Use Cases

  • Stochastic Oscillator Analysis: Retrieves current %K and %D values.
  • Zone Classification: Identifies if the asset is Overbought, Oversold, or Neutral.
  • Crossover Detection: Signals bullish or bearish crossovers between %K and %D.
  • Divergence Identification: Detects powerful reversal signals when price and the oscillator diverge.
  • Use Case: A trader can use this skill to quickly assess if a stock's current momentum suggests an upcoming price reversal, aiding in timely entry or exit decisions.

Quick Start

Analyze the stochastic oscillator for momentum signals and divergences for the given symbol.

Frequently Asked Questions about momentum-signals

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

FAQPage Schema
How do I use the Stochastic Oscillator to identify momentum reversals?▼

A Stochastic Oscillator divergence occurs when asset price and oscillator values move in opposite directions. Detecting this divergence helps identify weakening momentum and potential trend reversals before they become visible on price charts.

How do I classify overbought and oversold zones using stochastic momentum signals?▼

Classifying overbought and oversold zones requires retrieving current %K and %D values from the Stochastic Oscillator. These values determine if asset momentum is exhausted, indicating neutral conditions or potential reversal zones for trading signals.

Can I detect bullish and bearish crossovers for financial assets automatically?▼

You can detect bullish and bearish crossovers by tracking Stochastic Oscillator %K and %D line interactions. This analysis requires historical price retrieval tools to assess momentum health and generate accurate crossover signals for financial assets.

What is a stochastic divergence and how does it indicate a trend reversal?▼

A stochastic divergence occurs when asset price and oscillator values move in opposite directions. Detecting this divergence helps identify weakening momentum and potential trend reversals before they become visible on standard price charts.

What historical price data do I need to assess momentum health and divergences?▼

Assessing momentum health and divergences requires historical price retrieval tools to calculate Stochastic Oscillator values. This data is necessary to classify current zones, detect crossovers, and identify price-vs-oscillator divergences accurately.

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