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Gate Exchange MarketAnalysis

该 Skill 依据用户意图在 13 个场景间路由(流动性、动量、清算、资金费率套利、基差、操纵风险、订单簿、滑点模拟、K 线支撑阻力、周末对比、技术分析、多资产配置、组合复盘),按 references/scenarios.md 规定的 MCP 调用顺序获取 Gate 行情数据(订单簿、K 线、ticker、资金费率),套用阈值判定并输出结构化报告;全程只读,不执行交易。

gate-exchange
gate-exchange
热度 56.43
最近更新 2026-05-11 17:31:20
分类:数据依赖:MCP 服务 / 第三方 API应用场景:市场分析 / 报告撰写 / 财务 / 研究

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add gate-exchange-market-analysis
Metadata
name
gate-exchange-marketanalysis
version
2026.3.23-1
updated
2026-03-23
description
Gate Exchange market analysis tool. Use when the user asks for deep market metrics like liquidity, slippage, funding arbitrage, or manipulation risk. Triggers on 'liquidity', 'depth', 'slippage', 'momentum', 'buy/sell pressure', 'squeeze', 'funding rate', 'arbitrage', 'basis', 'premium'.

gate-exchange-marketanalysis

General Rules

⚠️ STOP — You MUST read and strictly follow the shared runtime rules before proceeding. Do NOT select or call any tool until all rules are read. These rules have the highest priority. → Read gate-runtime-rules.md

  • Only call MCP tools explicitly listed in this skill. Tools not documented here must NOT be called, even if they exist in the MCP server.

Market tape analysis covering thirteen scenarios, such as liquidity, momentum, liquidation monitoring, funding arbitrage, basis monitoring, manipulation risk, order book explanation, slippage simulation, K-line breakout/support–resistance, and liquidity with weekend vs weekday. This skill provides structured market insights by orchestrating Gate MCP tools; call order and judgment logic are defined in references/scenarios.md.


MCP Dependencies

Required MCP Servers

MCP Server Status
Gate (main) ✅ Required

Authentication

  • API Key Required: Not necessarily
  • Note: This skill is read-only and primarily uses public market-data surfaces. In many runtimes these calls work without authentication, though some deployments may still route them through an authenticated MCP layer.

Installation Check

  • Required: Gate (main)
  • Install: Run installer skill for your IDE
    • Cursor: gate-mcp-cursor-installer
    • Codex: gate-mcp-codex-installer
    • Claude: gate-mcp-claude-installer
    • OpenClaw: gate-mcp-openclaw-installer

MCP Mode

Read and strictly follow references/mcp.md, then execute this skill's market analysis workflow.

  • SKILL.md keeps intent routing, scenario mapping, and output semantics.
  • references/mcp.md is the authoritative MCP execution layer for tool sequencing, parameter checks, and degradation rules.

Sub-Modules

Module Purpose Document
Liquidity Order book depth, 24h vs 30d volume, slippage references/scenarios.md (Case 1)
Momentum Buy vs sell share, funding rate references/scenarios.md (Case 2)
Liquidation 1h liq vs baseline, squeeze, wicks references/scenarios.md (Case 3)
Funding arbitrage Rate + volume screen, spot–futures spread references/scenarios.md (Case 4)
Basis Spot–futures price, premium index references/scenarios.md (Case 5)
Manipulation risk Depth/volume ratio, large orders references/scenarios.md (Case 6)
Order book explainer Bids/asks, spread, depth references/scenarios.md (Case 7)
Slippage simulation Market-order slippage vs best ask references/scenarios.md (Case 8)
K-line breakout / support–resistance Candlesticks + tickers; support/resistance; breakout momentum references/scenarios.md (Case 9)
Liquidity + weekend vs weekday Order book + 90d candlesticks + tickers; weekend vs weekday volume/return references/scenarios.md (Case 10)
Technical analysis / what to do Short + long timeframe K-line, support/resistance, momentum (price vs volume), funding rate; spot + futures; separate short/long-term advice references/scenarios.md (Case 11)
Multi-asset buy & allocation Per-asset ticker + order book + 7d daily candles; futures add funding rate; allocation % and rationale references/scenarios.md (Case 12)
Portfolio allocation review Same data as Case 12; assess if allocation is reasonable, adjustment advice, what else to buy if no change references/scenarios.md (Case 13)

Routing Rules

Determine which module (case) to run based on user intent:

User Intent Keywords Action
Liquidity / depth liquidity, depth, slippage Read Case 1, follow MCP order (use futures APIs if perpetual/contract)
Momentum buy vs sell, momentum Read Case 2, follow MCP order
Liquidation liquidation, squeeze Read Case 3 (futures only)
Funding arbitrage arbitrage, funding rate Read Case 4
Basis basis, premium Read Case 5
Manipulation risk manipulation, depth vs volume Read Case 6 (spot or futures per keywords)
Order book explainer order book, spread Read Case 7
Slippage simulation slippage simulation, market buy $X slippage, how much slippage Read Case 8 (spot or futures per keywords)
K-line breakout / support–resistance breakout, support, resistance, K-line, candlestick Read Case 9 (spot or futures per keywords)
Liquidity + weekend vs weekday liquidity, weekend, weekday, weekend vs weekday Read Case 10 (spot or futures per keywords)
Technical analysis / what to do technical analysis, what to do with BTC, long or short, trading advice, current level Read Case 11 (spot + futures, short & long timeframes)
Multi-asset buy & allocation watchlist, want to buy, analyze several coins, investment advice, how to allocate budget Read Case 12
Portfolio allocation review portfolio, allocation, is my allocation reasonable, how to adjust, what else to buy Read Case 13

Execution

  1. Match user intent to the routing table above and determine case (1–13) and market type (spot/futures).
  2. Read the corresponding case in references/scenarios.md for MCP call order and required fields.
  3. Case 8 only: If the user did not specify a currency pair or did not specify a quote amount (e.g. $10K), do not assume defaults — prompt the user to provide the missing input(s); see Scenario 8.3 in references/scenarios.md.
  4. Call Gate MCP in the exact order defined for that case.
  5. Apply judgment logic from scenarios (thresholds, flags, ratings).
  6. Output the report using that case’s Report Template.
  7. Suggest related actions (e.g. “For basis, ask ‘What is the basis for XXX?’”).

Domain Knowledge (short)

  • Spot vs futures: Keywords “perpetual”, “contract”, “future”, “perp” → use futures MCP APIs; “spot” or unspecified → spot.
  • Liquidity (Case 1): Depth < 10 levels → low liquidity; 24h volume < 30-day avg → cold pair; slippage = 2×(ask1−bid1)/(bid1+ask1) > 0.5% → high slippage risk.
  • Momentum (Case 2): Buy share > 70% → buy-side strong; 24h volume > 30-day avg → active; funding rate sign + order book top 10 for bias.
  • Liquidation (Case 3): 1h liq > 3× daily avg → anomaly; one-sided liq > 80% → long/short squeeze; price recovered → wick/spike.
  • Arbitrage (Case 4): |rate| > 0.05% and 24h vol > $10M → candidate; spot–futures spread > 0.2% → bonus; thin depth → exclude.
  • Basis (Case 5): Current basis vs history; basis widening/narrowing for sentiment.
  • Manipulation (Case 6): Top-10 depth total / 24h volume < 0.5% → thin depth; consecutive same-direction large orders → possible manipulation. Use spot by default; use futures when user says perpetual/contract.
  • Order book (Case 7): Show bids/asks example, explain spread with last price, depth and volatility.
  • Slippage simulation (Case 8): Requires both a currency pair and a quote amount (e.g. ETH_USDT, $10K). If user does not specify either, prompt them — do not assume defaults (e.g. do not default to $10K). Spot: cex_spot_get_spot_order_book → cex_spot_get_spot_tickers. Futures: cex_fx_get_fx_contract → cex_fx_get_fx_order_book → cex_fx_get_fx_tickers (use quanto_multiplier from contract for ladder notional). Simulate market buy by walking ask ladder; slippage = volume-weighted avg price − ask1 (points and %).
  • K-line breakout / support–resistance (Case 9): Trigger: e.g. “breakout, support, resistance”, “K-line”, “does X show signs of breaking out?”. Spot: cex_spot_get_spot_candlesticks → cex_spot_get_spot_tickers. Futures: cex_fx_get_fx_candlesticks → cex_fx_get_fx_tickers. Use candlesticks for support/resistance levels; use tickers for 24h price, volume, change (momentum).
  • Liquidity + weekend vs weekday (Case 10): Trigger: e.g. “liquidity”, “weekend vs weekday”, “compare weekend and weekday”. Spot: cex_spot_get_spot_order_book → cex_spot_get_spot_candlesticks(90d) → cex_spot_get_spot_tickers. Futures: cex_fx_get_fx_contract → cex_fx_get_fx_order_book → cex_fx_get_fx_candlesticks(90d) → cex_fx_get_fx_tickers (use quanto_multiplier for depth notional). Order book for current depth; 90d candlesticks to split weekend vs weekday volume and return; compare and summarize.
  • Technical analysis / what to do (Case 11): Trigger: e.g. "technical analysis, what should I do with BTC", "long or short at current level". Spot: cex_spot_get_spot_candlesticks(short & long timeframes 4h/1d) → cex_spot_get_spot_tickers. Futures: cex_fx_get_fx_candlesticks → cex_fx_get_fx_tickers → cex_fx_get_fx_funding_rate. Use history for support/resistance; compare current price and 24h volume to past for momentum; funding rate for long/short bias; give separate short- and long-term advice.
  • Multi-asset buy & allocation (Case 12): Trigger: e.g. "I'm watching BTC, ETH, GT and want to buy; analyze and give allocation for $5000". Per asset: cex_spot_get_spot_candlesticks(7d) → cex_spot_get_spot_tickers → cex_spot_get_spot_order_book; futures: cex_fx_get_fx_candlesticks → cex_fx_get_fx_tickers → cex_fx_get_fx_order_book → cex_fx_get_fx_funding_rate. Spot ticker + order book + 7d daily; add funding for futures; output allocation % and rationale.
  • Portfolio allocation review (Case 13): Trigger: e.g. "I hold 30% BTC, 30% ETH, 20% DOGE, 15% LTC, 5% USDT; is this allocation reasonable, how to adjust, what else to buy?". Same MCP order as Case 12 (per-asset spot candlesticks + tickers + order_book; futures + funding_rate). Assess allocation, suggest adjustments, or suggest what else to buy if no change.

Important Notes

  • All analysis is read-only — no trading operations are performed.
  • Gate MCP must be configured (use gate-mcp-installer skill if needed).
  • MCP call order and output format are in references/scenarios.md; follow them for consistent behavior.
  • Always include a disclaimer: analysis is data-based, not investment advice.