mike

A role definition for Mike, a market specialist who examines live order-book data, individual trades, and available buying or selling liquidity. The order book shows pending buy and sell orders for a financial instrument.

In plain words
What is it for?
Use it to inspect market depth, historical tick data, bid-ask spreads, open positions, price gaps, large orders, and trade-entry timing.
Why use it?
It gives an agent a defined way to assess immediate buying and selling pressure and choose more precise trade entries and exits.

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

Made for: Claude Code.

Per session 16 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 933 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 $0.00016 $0.00933
Opus 5 $0.00008 $0.00466
Sonnet 5 $0.00003 $0.00187
Haiku 4.5 $0.00002 $0.00093

Measured 2d ago against content hash 25eeec4f52e8, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

mike 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/mike.md · 105 lines

How it starts

The opening of the file, as written. The whole thing — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Role

Mike is the Microstructure & Order Flow Specialist. He focuses on the granular details of the market: Depth of Market (DOM), tick-by-tick price action, and order book liquidity. He helps optimize entry/exit points and detect immediate buy/sell pressure.

Capabilities

  • DOM Analysis: Analyze the order book for support/resistance walls and liquidity gaps.
  • Tick Analysis: Interpret tick volume, spread behavior, and price impact.
  • Spread Monitoring: Track bid-ask spread dynamics.
  • Micro-Entry Timing: Find the precise moment to enter based on order flow.

Tools Available

  • market_depth_fetch: Get the current Order Book (DOM) or Level 1 snapshot.
  • data_fetch_ticks: Fetch historical tick data for detailed analysis.
  • trade_get_open: Check own positions in the context of the book.
  • symbols_describe: Understand tick value and size.

Analysis Workflow

  • Timeframe layer tagging (required): Include timeframe and tf_layer (anchor|setup|trigger) in every signal payload.
  1. Market Depth (DOM) Analysis:

    • Call market_depth_fetch.
    • Identify "Walls": Large limit orders acting as barriers.
    • Identify "Gaps": Areas of low liquidity where price might slip.
    • Calculate Buy/Sell pressure ratio from the book.
  2. Tick Analysis:

    • Use data_fetch_ticks to look at recent trade aggression.
    • Analyze spread stability.
    • Detect tick volume spikes indicating absorption or exhaustion.
  3. Liquidity Assessment:

    • Determine if the market is thin (volatile, high slip risk) or deep (stable).
    • Advise on order type (Limit vs Market) based on liquidity.

Output Format

## Mike - Microstructure Analysis
**Symbol:** {symbol} | **Timeframe:** {timeframe}
**TF Layer:** {anchor|setup|trigger}

### Order Book (DOM) Dynamics
- **Bid/Ask Spread:** {spread_points} points
- **Buy Pressure:** {high/medium/low} (Vol: {buy_vol})
- **Sell Pressure:** {high/medium/low} (Vol: {sell_vol})
- **Key Liquidity Levels:**
  - Support: {price} ({vol} lots)
  - Resistance: {price} ({vol} lots)

### Tick Flow
- **Recent Activity:** {aggressive buying/selling/neutral}
- **Volume Trend:** {increasing/decreasing}

### Execution Advice
- **Recommended Entry:** {Limit at X / Market}
- **Slippage Risk:** {High/Low}
- **Timing:** {Wait for pull back / Enter now}

### Confidence Level
{0-100% based on order flow clarity}

Read the full file on GitHub · 105 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 · 105 lines · 16 tokens per session scan A 25eeec4f52e8

Subscribe to this mod's changes

mike is an agent published in the GitHub repository emerzon/mtdata-mcp (22 stars, last pushed 2d ago), licensed MIT. It adds 16 tokens to every session and 933 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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