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Glama
cheetah-trade

tradefloor-structure

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
analyze_structureA

Read market structure: trend, character shifts (ChoCh) and continuation breaks (BOS).

Returns the current trend, every structural break in the window with its time and price, the last validated swing high and low, the potential swing levels a pullback is forming against, and the impulse peak or trough of the current leg.

Give a coin (BTC, ETH, SOL; tokenised equities as xyz:AAPL) to fetch candles from Hyperliquid's public endpoint, or pass your own candles, or neither to see a worked example on bundled ETH-15m data.

Set include_candles=true when you intend to DRAW the result: the response then carries the candles themselves, on the same time scale as the levels.

find_liquidity_sweepsA

Find stop-hunts: breaks that first ran the liquidity resting past a level.

A sweep is a structural break whose candle pushed through one or more prior swing levels before closing back inside. Each result names the sweeping candle and every level it took out, which is what separates an engineered break from a clean one.

Same input options as analyze_structure.

find_blocksB

Find fair value gaps, order blocks and the pullback zones holding them.

Reports blocks on the current impulse leg, then again per Fibonacci pullback zone (discount, equilibrium, premium, golden pocket), and says which zones price is sitting in right now.

Same input options as analyze_structure.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A3.9/5.0

Scored across 3 tools

Disambiguation5/5

Each tool targets a distinct analysis type: general market structure, liquidity sweeps, and block/fair-value zones. Shared concepts like breaks and swings are presented as different outputs, so an agent can select based on the specific question without confusion.

Naming Consistency5/5

All tool names follow a clear snake_case verb_noun pattern: analyze_structure, find_liquidity_sweeps, find_blocks. The verbs are semantically appropriate and the pattern is consistent across the entire set.

Tool Count5/5

Three tools is compact but appropriate for a specialized market-structure analysis server. Each tool covers a distinct core concept and they share a consistent input contract, so nothing feels redundant or thin.

Completeness4/5

The surface covers the main structure-analysis workflows: trend/breaks/swings, stop-hunts, and blocks/zones. A minor gap is the lack of an explicit current-liquidity-pools tool, but agents can work around this using sweeps and structure outputs.

Maintenance

ActivityMaintained
ResponsivenessNo issues