gate-exchange-marketanalysis

Overview

An AI Agent skill that provides market tape analysis on Gate, covering ten scenarios: liquidity, momentum, liquidation monitoring, funding rate arbitrage, basis (spot–futures) monitoring, manipulation risk, order book explanation, slippage simulation, K-line breakout/support–resistance, and liquidity with weekend vs weekday. All scenarios use a defined MCP call order and output format in references/scenarios.md.

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Core Capabilities

Capability	Description	Example
Liquidity analysis	Order book depth, 24h vs 30d volume, slippage	"How is ETH liquidity?"
Momentum	Buy vs sell share, funding rate	"Is BTC more long or short in 24h?"
Liquidation monitoring	1h liq vs baseline, squeeze, wicks	"Recent liquidations?"
Funding arbitrage	Rate + volume, spot–futures spread	"Any arbitrage opportunities?"
Basis monitoring	Spot–futures price, premium index	"What is the basis for BTC?"
Manipulation risk	Depth/volume ratio, large orders	"Is this coin easy to manipulate?"
Order book explainer	Bids/asks, spread, depth	"Explain the order book"
Slippage simulation	Market-order slippage vs best ask (pair + quote amount required)	"ADA_USDT slippage for $10K market buy?"
K-line breakout / support–resistance	Candlesticks + tickers; support/resistance; breakout momentum	"Does SOL/USDT show breakout signs? Analyze support and resistance."
Liquidity + weekend vs weekday	Order book + 90d candlesticks + tickers; weekend vs weekday volume/return	"Evaluate ETH liquidity and compare weekend vs weekday."

📊 Ten scenarios (Case 1–10): Ask about liquidity, momentum, liquidation, arbitrage, basis, manipulation risk, order book, slippage simulation, K-line breakout/support–resistance, or liquidity vs weekend/weekday; the skill routes to the right case and follows references/scenarios.md.

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Architecture

Natural Language Input
    ↓
Intent Routing (Case 1–10, spot vs futures)
    ↓
Gate MCP Tools
    ├── get_spot_order_book / get_futures_order_book
    ├── get_spot_tickers / get_futures_tickers
    ├── get_spot_candlesticks / get_futures_candlesticks
    ├── get_spot_trades / get_futures_funding_rate
    ├── list_futures_liq_orders (when available)
    └── get_futures_premium_index
    ↓
Analysis & Judgment Logic
    ↓
Structured Report → Natural language response

Sub-Modules: references/scenarios.md — MCP call order, parameters, required fields, and report templates per case.

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Agent Use Cases

1. Liquidity check

"How is ETH liquidity?"

Depth levels, 24h vs 30d volume, slippage; liquidity rating. For perpetual/contract, use futures order book and candlesticks/tickers.

2. Momentum (buy vs sell)

"Is BTC more long or short in 24h, and is it sustainable?"

Trades → buy/sell share; tickers, candlesticks, order book top 10, funding rate for bias and sustainability.

3. Liquidation monitoring

"Recent liquidations?"

Liquidation orders (if MCP provides), candlesticks, tickers; anomaly and squeeze labels.

4. Funding arbitrage scan

"Any arbitrage opportunities?"

Screen by |rate| and volume; spot tickers and order book; exclude thin books.

5. Basis (spot–futures)

"What is the basis for BTC?"

Spot and futures tickers, premium index; current vs history, widening/narrowing.

6. Manipulation risk

"Is this coin easy to manipulate?"

Depth ratio (top 10 / 24h volume); large and consecutive same-side trades.

7. Order book explainer

"Explain the order book"

Live order book (e.g. limit=10) + ticker; explain bids/asks, spread, depth.

8. Slippage simulation

"ADA_USDT slippage for a $10K market buy?"

Requires pair and quote amount. Spot or futures: order book → tickers (futures: get_futures_contract first for quanto_multiplier). Walk ask ladder; report slippage vs best ask.

9. K-line breakout / support–resistance

"Does SOL/USDT show signs of breaking out? Analyze support and resistance."

Candlesticks → tickers; derive support/resistance from OHLC; use 24h price and volume for momentum and breakout assessment.

10. Liquidity + weekend vs weekday

"Evaluate ETH liquidity and compare weekend vs weekday."

Order book + 90d candlesticks + tickers (futures: get_futures_contract first). Split days into weekend vs weekday; compare volume and return.

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Quick Start

Prerequisites

1. Gate MCP configured and connected (use the gate-mcp-installer skill if needed).
2. No extra dependencies.

Example Prompts

# Liquidity
"How is ETH liquidity?"
"BTC perpetual depth"

# Momentum
"BTC 24h more long or short, sustainable?"

# Liquidation
"Recent liquidations?"

# Arbitrage
"Any funding rate arbitrage opportunities?"

# Basis
"What is the basis for ETH?"

# Manipulation
"Is PEPE easy to manipulate?"

# Order book
"Explain the order book with an example"

# Slippage simulation (pair + amount required)
"ADA_USDT contract slippage: if I market buy $20K, how much slippage?"

# K-line breakout / support–resistance
"Based on recent K-line, does SOL/USDT show breakout? Analyze support and resistance."

# Liquidity + weekend vs weekday
"Evaluate ETH contract liquidity and compare weekend vs weekday."

See references/scenarios.md for full MCP call order and report templates.

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File Structure

gate-exchange-marketanalysis/
├── README.md                          # This file
├── SKILL.md                           # Skill routing and instructions
├── CHANGELOG.md                       # Version history
└── references/
    ├── scenarios.md                   # MCP call order, judgment logic, report templates per case
    └── case-test-report.md            # Optional: simulation test summary

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Security

• No external scripts or executable code
• Uses Gate MCP tools only — no direct API calls
• No credential handling or storage
• Read-only market data analysis, no trading operations
• No file system writes
• No data collection, telemetry, or analytics

License

MIT