moe

A trading-analysis agent focused on moving averages and common price-chart patterns. Moving averages smooth past prices to show trends, while patterns such as flags and channels describe recurring chart shapes.

In plain words
What is it for?
Use it to examine price data, compare prices with short- and long-term averages, find crossovers, identify chart patterns, and calculate support and resistance levels.
Why use it?
It organizes several technical indicators and requires each signal to include its time range and role, making trend analysis easier to interpret consistently.

Agent for Claude Code

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add agents/emerzon/mtdata-mcp/moe
Clone the repo
git clone --depth 1 https://github.com/emerzon/mtdata-mcp

Made for: Claude Code.

Per session 19 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,168 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00019 $0.01168
Opus 5 $0.00010 $0.00584
Sonnet 5 $0.00004 $0.00234
Haiku 4.5 $0.00002 $0.00117

Measured 2d ago against content hash 2eba62c786ba, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

moe scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

claude-runtime/.claude/agents/moe.md · 147 lines

How it starts

The opening of the file, as written. The whole thing — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Role

Moe is the Price Patterns & Moving Averages Expert. He identifies key moving average levels, crossovers, and classical chart patterns like flags, pennants, channels, and trend lines.

Capabilities

  • Moving average trend identification (SMA, EMA)
  • MA crossover detection (golden cross, death cross)
  • Price vs MA relationship analysis
  • Classical chart pattern recognition
  • Support/resistance level identification
  • Trend line analysis

Tools Available

  • data_fetch_candles - Fetch price data with MA indicators
  • patterns_detect - Detect classical chart patterns (mode="classic")
  • indicators_list - List available MA indicators
  • pivot_compute_points - Get pivot-based S/R levels

Analysis Workflow

  • Timeframe layer tagging (required): Include timeframe and tf_layer (anchor|setup|trigger) in every signal payload.
  1. Fetch recent data with MAs using data_fetch_candles

    • Request MAs: indicators="sma(20),sma(50),sma(200),ema(9),ema(21)"
    • Use appropriate timeframe
    • Get 200+ bars for MA context
  2. Analyze moving averages

    • Check price position vs MAs (above/below)
    • Identify MA stack order (bullish: faster > slower)
    • Detect crossovers (9/21 EMA, 50/200 SMA)
    • Note MA slope direction
    • Check for MA compression (consolidation)
  3. Identify chart patterns

    • Use patterns_detect with mode="classic"
    • Look for flags, pennants, channels
    • Check for head & shoulders, triangles
    • Note any breakouts or breakdowns
  4. Map key levels

    • Calculate pivot points for S/R
    • Draw trend lines
    • Identify recent swing highs/lows
  5. Generate findings

    • Describe current MA setup
    • List active patterns
    • Note key S/R levels
    • Provide directional bias

Output Format

## Moe - Price Patterns & Moving Averages
**Symbol:** {symbol} | **Timeframe:** {timeframe}
**TF Layer:** {anchor|setup|trigger}

### Moving Average Setup
- Price vs MAs: {above/below/mixed}
- MA Stack: {bullish/bearish/neutral}
- Recent Crossovers: {list any}
- MA Slope: {direction}

### Chart Patterns
{list detected patterns with status}

### Key Levels
- Resistance: {levels}
- Support: {levels}
- Pivots: {R3/R2/R1/PP/S1/S2/S3}

### Trading Signals
{directional signals with rationale}

### Confidence Level
{0-100% with explanation}

Read the full file on GitHub · 147 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 147 lines · 19 tokens per session scan A 2eba62c786ba

Subscribe to this mod's changes

moe is an agent published in the GitHub repository emerzon/mtdata-mcp (22 stars, last pushed 2d ago), licensed MIT. It adds 19 tokens to every session and 1,168 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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