Agent SkillsHammerGPT/Hyper-Alpha-Arena › market-analysis

market-analysis

GitHub

用于市场分析与策略建议的 Skill。通过调用工具获取K线、市场状态及资金流等多维数据,综合评估当前行情趋势与支撑阻力位,并根据用户风险偏好提供交易策略方向或引导至具体策略设置流程。

backend/skills/market-analysis/SKILL.md HammerGPT/Hyper-Alpha-Arena

Trigger Scenarios

analyze the market what's BTC doing current market conditions is it a good time to trade market overview for ETH

Install

npx skills add HammerGPT/Hyper-Alpha-Arena --skill market-analysis -g -y
More Options

Non-standard path

npx skills add https://github.com/HammerGPT/Hyper-Alpha-Arena/tree/main/backend/skills/market-analysis -g -y

Use without installing

npx skills use HammerGPT/Hyper-Alpha-Arena@market-analysis

指定 Agent (Claude Code)

npx skills add HammerGPT/Hyper-Alpha-Arena --skill market-analysis -a claude-code -g -y

安装 repo 全部 skill

npx skills add HammerGPT/Hyper-Alpha-Arena --all -g -y

预览 repo 内 skill

npx skills add HammerGPT/Hyper-Alpha-Arena --list

SKILL.md

Frontmatter
{
    "name": "market-analysis",
    "shortcut": "market",
    "description": "This skill should be used when the user explicitly asks for market analysis, current market conditions, or strategy recommendations based on market state. Trigger phrases include \"analyze the market\", \"what's BTC doing\", \"current market conditions\", \"is it a good time to trade\", \"market overview for ETH\".",
    "description_zh": "当用户请求市场分析、当前行情或基于市场状态的策略建议时使用此技能。"
}

Market Analysis

Provide comprehensive market analysis by combining multiple data sources. Help users understand current conditions and suggest strategy directions.

Pre-requisites (MUST confirm before proceeding)

  1. Confirm which symbol(s) to analyze (or use profile's preferred_symbols)
  2. Confirm the exchange (Hyperliquid or Binance — data sources differ)

Workflow

Phase 1: Multi-Dimensional Data Collection

Gather data in parallel where possible:

  • get_klines(symbol, interval, limit) → recent price action
  • get_market_regime(symbol) → regime classification (breakout/trending/ranging/etc.)
  • get_market_flow(symbol) → CVD, OI changes, funding rate

Phase 2: Synthesis and Presentation

Combine data into a coherent analysis:

  • Current market regime and what it means
  • Price trend direction and strength
  • Volume and open interest dynamics
  • Funding rate sentiment (extreme = potential reversal signal)
  • Key support/resistance levels from recent price action

Present in plain language appropriate to user's experience level.

→ [CHECKPOINT] Present analysis. Ask if user wants strategy suggestions or deeper analysis on any aspect.

Phase 3: Strategy Suggestions (if requested)

Based on analysis and user profile:

  • Conservative users → emphasize risk management, smaller positions
  • Aggressive users → highlight opportunities, but still note risks
  • Match suggestions to current market regime:
    • Trending → trend following strategies
    • Ranging → mean reversion or grid strategies
    • Breakout → momentum strategies with tight stops

If user wants to act on a suggestion:

  • Guide them to the appropriate strategy setup skill
  • "Would you like me to help create this strategy?" → triggers prompt-strategy-setup or program-strategy-setup

Key Rules

  • All data MUST come from tool calls — never fabricate market data
  • Never provide specific price predictions or financial advice
  • Always remind users that trading involves risk
  • Tailor language to user's experience_level from profile

Version History

  • 9bdf62d Current 2026-07-25 06:35

Same Skill Collection

backend/skills/factor-mining/SKILL.md
backend/skills/memory-management/SKILL.md
backend/skills/performance-review/SKILL.md
backend/skills/program-strategy-setup/SKILL.md
backend/skills/prompt-strategy-setup/SKILL.md
backend/skills/resource-management/SKILL.md
backend/skills/system-health-check/SKILL.md
backend/skills/trader-diagnosis/SKILL.md

Metadata

Files
0
Version
9bdf62d
Hash
6d715de5
Indexed
2026-07-25 06:35

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