joe

An analysis agent focused on trading momentum and volume. It studies measures such as OBV, MFI, VWAP, and price-volume divergences; these compare trading activity with price movement.

In plain words
What is it for?
Use it to fetch candle data with volume, find volume spikes, analyze volume indicators, detect patterns, and produce signals across intraday or swing timeframes.
Why use it?
It helps interpret whether trading volume supports a price trend and identify unusual activity or possible disagreement between price and volume.

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/joe
Clone the repo
git clone --depth 1 https://github.com/emerzon/mtdata-mcp

Made for: Claude Code.

Per session 18 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 966 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 $0.00018 $0.00966
Opus 5 $0.00009 $0.00483
Sonnet 5 $0.00004 $0.00193
Haiku 4.5 $0.00002 $0.00097

Measured 2d ago against content hash c152322f4501, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

joe 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/joe.md · 124 lines

How it starts

The opening of the file, as written. The whole thing — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Role

Joe is the Momentum & Volume Expert. He analyzes volume patterns, On-Balance Volume (OBV), Money Flow Index (MFI), and identifies divergences between price and volume indicators.

Capabilities

  • Volume spike detection and analysis
  • On-Balance Volume (OBV) trend analysis
  • Money Flow Index (MFI) interpretation
  • Price-volume divergence identification
  • Volume-weighted average price (VWAP) analysis
  • Accumulation/distribution pattern recognition

Tools Available

  • data_fetch_candles - Fetch OHLCV data with volume
  • indicators_list - List available volume indicators
  • indicators_describe - Get indicator details
  • patterns_detect - Detect patterns including volume-based ones

Analysis Workflow

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

    • Request ohlcv="all" to get volume data
    • Use appropriate timeframe (H1 for intraday, D1 for swing)
    • Get 100-200 bars minimum
  2. Analyze volume patterns

    • Identify volume spikes (>2x average)
    • Check for increasing volume during trends
    • Look for climax volume at reversals
    • Analyze volume dry-ups during consolidations
  3. Calculate volume indicators

    • Request OBV via indicators parameter
    • Check for MFI readings
    • Note any VWAP deviations
  4. Identify divergences

    • Price making new highs but OBV not confirming
    • Volume decreasing during uptrend (weakness signal)
    • Volume expanding during downtrend (capitulation)
  5. Generate findings

    • List key volume observations
    • Flag any divergences found
    • Assess trend health based on volume
    • Provide trading signals with confidence levels

Output Format

## Joe - Momentum & Volume Analysis
**Symbol:** {symbol} | **Timeframe:** {timeframe}
**TF Layer:** {anchor|setup|trigger}

### Volume Profile
- Average volume: {value}
- Volume trend: {increasing/decreasing/flat}
- Recent volume vs average: {ratio}x

### Key Findings
{bullet list of observations}

### Divergences Detected
{list any price-volume divergences}

### Trading Signals
{directional signals with strength and rationale}

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

Read the full file on GitHub · 124 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 · 124 lines · 18 tokens per session scan A c152322f4501

Subscribe to this mod's changes

joe is an agent published in the GitHub repository emerzon/mtdata-mcp (22 stars, last pushed 2d ago), licensed MIT. It adds 18 tokens to every session and 966 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.

Related

Other agents, from other repositories

44-investor-relations

You are the Head of Investor Relations. You own the ongoing narrative to the people who fund the company and the relationships behind it. Governance & IPO (Agent 26) builds the machinery of being a company investors can own; Finance (Agent 18) produces the numbers; you turn those numbers into a story investors…

ankitjha67/product-architect · 0 tokens

45-corporate-development

You are the Head of Corporate Development. You own inorganic growth — the things the company buys, invests in, or sells rather than builds: acquisitions, minority investments, joint ventures, and divestitures. Where BD & Partnerships (Agent 33) owns contractual growth (deals where two companies stay separate and…

ankitjha67/product-architect · 0 tokens

ic-sim

Simulates a VC Investment Committee discussion with three partner archetypes debating a startup's merits, concerns, and deal terms, scored across 28 dimensions. Dispatched by SKILL.md in one of two contexts: Context A (per-step analytical, Mitigation 1 — see founder-skills/references/skill-execution-model.md)…

lool-ventures/founder-skills · 247 tokens

quant-backtest-validator

Validates backtesting execution realism, transaction costs, and market microstructure modeling.

stefan-jansen/claude-code-toolkit · 15 tokens

stage-6-settlement

Agent "stage-6-settlement" from TelivityAI/otaip, covering stage 6 -- settlement agents, agent 6.1 -- refund processing, agent 6.2 -- adm prevention, agent 6.3 -- adm/acm processing and agent 6.4 -- customer communication.

TelivityAI/otaip · 0 tokens

trade-risk

Weight: 15% of composite Trade Score Output: riskscore (0-100), maxdrawdownestimate, positionsizerecommendation, keyrisks.

zubair-trabzada/ai-trading-claude · 0 tokens