chart-patterns

SkillCommerce & finance

Chart pattern recognition, price action patterns, candlestick signal bars, pullback bar counting H1/H2/H3/H4, trend channels, micro channels, trading ranges, breakouts, major trend reversals 5-step sequence, wedges, double tops and bottoms, triangles, head and shoulders, climaxes, measured moves, support and resistance

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the chart-patterns skill

What this skill tells your AI

The instructions your AI receives, as published by agentii-ai/agentii-investment-intelligence in plugins/vertical-plugins/technical-analysis/skills/agentii/chart-patterns/SKILL.md and read by ahel’s review.

Methodology inspired by publicly taught price action trading frameworks; all text is an original paraphrase.

Defaults

ParameterDefault ValueRationale
bar_count_threshold20 barsPullback > 20 bars = full Trading Range
reversal_steps5All trend reversals follow the same 5-step mechanical sequence
wedge_legs3Wedge requires three pushes at a trend extreme
climax_aftermathTrading RangeAfter a climax, market enters TR before any reversal

Preflight

Run canonical pre-flight per contracts/preflight.md. Propagate X-Agentii-Trace per contracts/x-agentii-trace-header.md.

Data Source Priority

  1. Chart patterns framework — references/chart-patterns-reference.md (bundled full pattern methodology)
  2. Upstream context — market structure classification from price-action skill output
  3. Technical setups — search_technical_setups(pattern_type=..., market_condition=..., timeframe=...) for matching against gold.technical_setups

Methodology

Retrieval Scope

structured_only

Retrieval Strategy

This skill follows Branch (d) Simple Lookup from contracts/retrieval.md: the pattern recognition framework is bundled in references/chart-patterns-reference.md. Real-time price data via get_realtime_quote. Matched technical setups via search_technical_setups. No unstructured document retrieval.

Temporal Scope

See frontmatter temporal_scope block.

Tool Allowlist

See frontmatter allowed_tools.

Protocol

This skill implements the price action trading pattern recognition framework: 17 distinct chart pattern types, each with specific identification criteria, decision rules, and entry/exit parameters. The core architecture: Setup = Context + Signal Bar — context (from price-action skill) determines which patterns are valid. A perfect signal bar in the wrong context is a losing trade. Detailed methodology and pattern-specific rules are in references/chart-patterns-reference.md.

Step 1 — Macro Context (Mode C — degrade-gracefully)
  1. Assess VIX via get_realtime_quote for broad market proxy.
  2. VIX elevated (> 25) → tighten position sizing, favor defined-risk setups. Low VIX (< 15) → standard sizing.
  3. Degrade gracefully if unavailable: annotate coverage_gap and proceed.
Step 2 — Context from price-action Skill

Receive or derive market structure classification:

  1. market_condition: trending_up / trending_down / ranging
  2. trend_strength: strong / weak(channel) / none
  3. always_in_direction: long / short / neutral
  4. cycle_phase: breakout / channel / trading_range / reversal

Critical rule: Context determines which patterns are valid:

  • Strong bull trend + always_in_long → only long patterns (H1, H2, bull breakouts). All short patterns invalid.
  • Strong bear trend + always_in_short → only short patterns (L1, L2, bear breakouts).
  • Ranging → Buy Low/Sell High only near boundaries. Middle of range = no trade.
Step 3 — Pattern Identification

Apply the full 17-pattern recognition framework based on current context:

If in a Trend:

  1. Pullback depth → count legs: 1-leg = H1/L1 (strong trend), 2-leg = H2/L2 (channel), 3-leg = H3/L3 (broader), 4-leg = H4/L4 (near TR).
  2. Channel boundaries → identify trend line and channel line. Assess tight vs broad.
  3. Breakout signals → true vs false breakout assessment using bar characteristics.
  4. Reversal watch → check if 5-step reversal sequence is progressing (Steps 1-5).

If in a Trading Range:

  1. Range boundaries → identify support and resistance levels from prior swing points.
  2. Breakout preparation → monitor for breakout direction.
  3. TR size assessment → small TR (< 20 bars) = pullback, direction biased. Large TR (≥ 20 bars) = direction neutral.

If near a Trend Extreme:

  1. Climax check → consecutive strong bars → sudden large counter-bar → climax detected. After climax: expect TR, not immediate reversal.
  2. Wedge check → three pushes to same area, each push weaker → exhaustion signal.
  3. 5-step reversal → if Steps 1-4 are complete, watch for Step 5 confirmation.
  4. Double top/bottom → two tests of same level; neckline break for confirmation.
Step 4 — Setup Matching via MCP

Match identified patterns against the gold.technical_setups database:

search_technical_setups(
  pattern_type=<pullback|breakout|reversal|trend_following|range_trading>,
  market_condition=<trending_up|trending_down|ranging>,
  timeframe=<derived from analysis>,
  instrument_scope=[<equity|option|futures>]
)
  1. Filter results by research_score (higher = more thoroughly researched).
  2. For each matched setup, load confirmation signals and compare against current market data.
  3. Rank by fit: exact match → similar match → partial match.
  4. If no match: proceed with manual pattern rules from references/chart-patterns-reference.md.
Step 5 — Pattern Output and Handoff

Produce structured pattern identification output:

  1. Primary pattern: The best-fit identified pattern with confidence level.
  2. Secondary patterns: Alternative patterns if primary is borderline.
  3. Invalid patterns: Patterns that appear but are invalidated by context (e.g., bearish engulfing in strong bull).
  4. Handoff to trade-execution: Pattern type + market condition + timeframe → for setup selection and trade plan generation.

Output File

{ticker}/{YYYY-MM-DD_HHMM}_chart-patterns_{affix}.md

Output Structure

  1. Executive Summary — Primary pattern identified, market context, confidence level
  2. Context Assessment — Market structure (from price-action), Always In direction, valid/invalid pattern directions
  3. Trend Analysis — Bar counting (H1/H2/H3/H4 status), channel classification (tight/broad), breakout quality
  4. Reversal Assessment — 5-step sequence status (which steps have completed), climax detection, wedge count
  5. Pattern Details — Primary pattern with specific entry/stop criteria, secondary patterns
  6. Setup Matches — Results from search_technical_setups ranked by fit; match quality assessment
  7. Handoff Parameters — pattern_type + market_condition + timeframe for trade-execution skill
  8. Coverage Gaps — Data limitations and degraded-mode annotations

Error Handling

ErrorFallback
No upstream context from price-actionSelf-derive market structure from raw price data; flag degraded
search_technical_setups unreachableProvide manual pattern rules from references/chart-patterns-reference.md; flag gap
Pattern ambiguousList all viable patterns; recommend waiting for confirmation bar
No matching pattern foundReport "no high-confidence pattern identified"; flag for manual review

Memory Load

See contracts/memory-load.md.

Snapshot

See contracts/snapshot-synthesis.md.

Final Summary (TUI)

Include ### Key Citations block with 0-10 clickable /v/ URLs.

References

  • references/chart-patterns-reference.md
  • contracts/citation-and-memory.md
  • contracts/output-frontmatter-schema.md
  • contracts/memory-load.md
  • contracts/snapshot-synthesis.md
  • contracts/preflight.md
  • contracts/retrieval.md

Signals

GitHub stars
204
Forks
16
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
chart-patterns
Source
github.com/agentii-ai/agentii-investment-intelligence