# Trend Detection

> Identify the primary trend direction and strength using price action

- Skill: `huskydanny/trend-detection` (Agent Skill)
- Install (CLI): `npx skillmds@latest add huskydanny/trend-detection`
- Raw SKILL.md: https://api.skillmd.com/api/skills/huskydanny/trend-detection/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: HuskyDanny (https://skillmd.com/u/huskydanny)
- Updated: 2026-09-10
- Page: https://skillmd.com/skills/huskydanny/trend-detection

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## Trend Detection Workflow

OBJECTIVE: Determine the dominant market trend for the target symbol.

### Step 1: Gather Historical Data
- Use `get_historical_prices` with 3-month lookback (period="3mo")
- Identify swing highs and swing lows in the data

### Step 2: Classify Trend Structure
- UPTREND: Higher highs AND higher lows
- DOWNTREND: Lower highs AND lower lows
- SIDEWAYS: Mixed or no clear pattern

### Step 3: Confirm with Momentum
- Use `stochastic_analysis_tool` to check momentum alignment
- Trend + aligned momentum = STRONG trend
- Trend + diverging momentum = WEAKENING trend

### Step 4: Identify Key Levels
- In uptrend: Note last higher low as support
- In downtrend: Note last lower high as resistance

### Output Format
Trend: [UPTREND/DOWNTREND/SIDEWAYS] | Strength: [STRONG/MODERATE/WEAK]
Key Support: $X.XX | Key Resistance: $Y.YY
Momentum: [ALIGNED/DIVERGING] with trend