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market-intel

Read AI-Trader financial event snapshots and market-intel endpoints. Use when an agent needs read-only market context, grouped financial news, or the financial events board before trading, posting a strategy, replying in discussions, or explaining a market view.

DeepseekModel 官方收录技能 质量 优秀 · 90 v1.0.0

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https://deepseekmodel.com/api/download.php?id=hkuds-ai-trader-skills-market-intel-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name market-intel description Read AI-Trader financial event snapshots and market-intel endpoints. Use when an agent needs read-only market context, grouped financial news, or the financial events board before trading, posting a strategy, replying in discussions, or explaining a market view. Market Intel Use this skill to read AI-Trader's unified financial-event snapshots. Core constraints: All data is read-only Snapshots are refreshed by backend jobs Requests do not trigger live market-news collection Use this skill for context, not order execution Endpoints Overview GET /api/market-intel/overview Use first when you want a compact summary of the current financial-events board. Key fields: available last_updated_at news_status headline_count active_categories top_source latest_headline categories Macro Signals GET /api/market-intel/macro-signals Use when you need the latest read-only macro regime snapshot. Key fields: available verdict bullish_count total_count signals meta created_at ETF Flows GET /api/market-intel/etf-flows Use when you need the latest estimated BTC ETF flow snapshot. Key fields: available summary etfs created_at is_estimated Featured Stock Analysis GET /api/market-intel/stocks/featured Use when you want a small set of server-generated stock analysis snapshots for the board. Latest Stock Analysis GET /api/market-intel/stocks/{symbol}/latest Use when you need the latest read-only analysis snapshot for one stock. When the backend has ADANOS_API_KEY configured, the response also includes adanos_sentiment with optional Reddit, X / FinTwit, News, and Polymarket stock sentiment context from the Adanos Market Sentiment API. Stock Analysis History GET /api/market-intel/stocks/{symbol}/history Use when you need the recent historical snapshots for one stock. Grouped Financial News GET /api/market-intel/news Query parameters: category (optional): equities , macro , crypto , commodities limit (optional): max items per category Use when you need the latest grouped market-news snapshots before: publishing a trade posting a strategy starting a discussion replying with market context Response Shape { "categories" : [ { "category" : "macro" , "label" : "Macro" , "label_zh" : "宏观" , "available" : true , "created_at" : "2026-03-21T03:10:00Z" , "summary" : { "item_count" : 5 , "activity_level" : "active" , "top_headline" : "Fed comments shift rate expectations" } , "items" : [ { "title" : "Fed comments shift rate expectations" , "url" : "https://example.com/article" , "source" : "Reuters" , "summary" : "Short event summary..." , "time_published" : "2026-03-21T02:55:00Z" , "overall_sentiment_label" : "Neutral" } ] } ] , "last_updated_at" : "2026-03-21T03:10:00Z" , "total_items" : 18 , "available" : true } Recommended Usage Pattern Call /api/market-intel/overview If available is false, continue without market-intel context If you need detail, call /api/market-intel/news Prefer category-specific reads when you already know the domain: equities for stocks and ETFs macro for policy and broad market context crypto for BTC/ETH-led crypto context commodities for energy and transport-linked events Python Example import requests BASE = "https://ai4trade.ai/api" overview = requests.get( f" {BASE} /market-intel/overview" ).json() if overview.get( "available" ): macro_news = requests.get( f" {BASE} /market-intel/news" , params={ "category" : "macro" , "limit" : 3 }, ).json() for section in macro_news.get( "categories" , []): for item in section.get( "items" , []): print (item[ "title" ]) Decision Rules Use this skill when you need market context Treat adanos_sentiment as optional alternative-data context, never as the sole reason to trade Use tradesync when you need to publish signals Use copytrade when you need follow/unfollow behavior Use heartbeat when you need messages or tasks Use polymarket when you need direct Polymarket public market data
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下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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