market-intel

Writing Community

Repo stars 19,128
Author repo AI-Trader

Interpretation is structured for decision-making; original keeps the upstream SKILL.md unchanged.

Decide Fit First

Core job: Read AI-Trader financial event snapshots and market-intel endpoints. Use when an agent needs read-only market context, grouped f…
Best fit: Use it when the task has reusable inputs, steps, and validation criteria rather than a one-off answer.
Avoid forcing it: If the source lacks commands, platform support, or external-service evidence, keep those fields unknown instead of guessing.

Design Intent

Structure: The skill is organized around “Endpoints”, “Overview”, “Macro Signals”, “ETF Flows”, showing how the author expects the agent to judge fit, collect context, and produce verifiable output.
Trigger evidence: Prioritize the author’s wording around when to use it, what context to collect, and what output shape to produce.
Evidence boundary: Author text states facts, repository files prove commands and paths, and Fluxly only adds fit, limits, and usage judgment.

How To Use It

Inputs: Provide target material, scope, expected result, forbidden changes, and validation method.
Invocation: Name market-intel directly; if the source includes slash commands, start with the command and then add task context.
Validation: Start small and check whether the result follows “Endpoints / Overview / Macro Signals” before expanding.

Boundaries And Review

Dependencies: Prepare Vendor-specific API keys before running a full task.
Permissions: Declared permissions include read / shell-exec; ask the agent to state file, command, and rollback boundaries before acting.
Quality bar: A useful result names the deliverable, evidence, and next action. Generic prose means the task needs tighter context.

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

Fluxly profile Author and license come from source; runtime, permissions, and network are Fluxly detections or estimates

Fluxly category: Writing
Author-declared agents: No explicit declaration found; this is not inferred or tested compatibility
Static check: 88 / 100 · heuristic scan, not runtime safety proof
Author / version / license: @HKUDS · no license declared
Fluxly token estimate: Lean
Fluxly setup estimate: Guided setup
External API key: Required · Vendor-specific
Detected OS requirements: Unspecified
Runtime requirements: Python
Detected file/system behavior: Read-only
Shell exec
Detected network behavior: External requests
Install commands: None (reference only)

Profile is derived at build time from SKILL.md and install vectors. Subject to drift from author intent.

Heads up: 未限定 allowed-tools，默认拥有全部工具权限。

Output preview market-intel.preview

# 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"])

SKILL.md SKILL.md

# 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:

…

Evidence boundary and execution chain

Author text anchors workflow facts; Fluxly only indexes current sections, terms, files, and commands.

sections -> Endpoints → Overview → Macro Signals → ETF Flows → Featured Stock Analysis → Latest Stock Analysis
terms    -> Use this skill to read AI-Trader's unified financial-event snapshots. · Use first when you want a compact summary of the current financial-events board. · Use when you need the latest read-only macro regime snapshot. · Use when you need the latest estimated BTC ETF flow snapshot. · Use when you want a small set of server-generated stock analysis snapshots for the board. · Use when you need the latest read-only analysis snapshot for one stock. · Use when you need the recent historical snapshots for one stock. · 1. Call /api/market-intel/overview 2.
files/cmd -> GET /api/market-intel/overview · available · lastupdatedat · newsstatus · headlinecount · activecategories · topsource · latestheadline
body sha256 -> e22f5ad48523

Decide Fit First

Design Intent

How To Use It

Boundaries And Review

Market Intel

Endpoints

Overview

Macro Signals

ETF Flows

Featured Stock Analysis

Latest Stock Analysis

Stock Analysis History

Grouped Financial News

Response Shape

Recommended Usage Pattern

Python Example

Decision Rules

Discussion