OpenClaw

moltstreet

Daily AI signals for 52 ETFs — direction, confidence, target price, reasoning chain. Free, no API key.

fredxyt0 来源安装数☆ 0 仓库 Stars

查看来源 ↗安装与使用 SKILL.md ↗

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。

SkillHub CLI

skillhub install fredxyt/moltstreet

打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

MoltStreet — AI ETF Market Signals

Daily AI-generated market signals for 52 ETFs. Free, no API key needed.

When to use this skill

Activate when the user:

Asks about ETF market outlook, direction, or trading signals
Mentions any of the 52 covered ETFs by ticker (SPY, QQQ, XLK, GLD, etc.)
Asks "should I buy/sell [ETF]" or "what's the market doing today"
Wants sector comparison, portfolio analysis, or market sentiment
Asks about bullish/bearish signals or price targets

How to fetch signals

Single ETF signal:

curl -s https://moltstreet.com/api/v1/etf/SPY

List all available symbols (returns catalog, not signal data):

curl -s https://moltstreet.com/api/v1/etf/

This returns {"symbols": ["ASHR","DBA","DIA",...], "count": 52, ...}. To get actual signals, fetch each symbol individually.

Multiple ETFs — fetch each one:

for sym in SPY QQQ DIA IWM; do
  curl -s "https://moltstreet.com/api/v1/etf/$sym"
done

How to interpret and present

Fetch the signal for the requested ETF(s)
Interpret direction: 1 = bullish, -1 = bearish, 0 = neutral
Present as: "[SYMBOL] is {direction} with {confidence * 100}% confidence — target ${target_price} ({expected_move_pct}% move)"
Add context from human_readable_explanation — plain-English AI analysis
Show conviction from committee.votes — 4 independent AI analysts voted
Warn with risk_controls — what could invalidate the signal

Example agent interaction

User: "What's the outlook for tech stocks?" → Fetch XLK, QQQ, SOXX, SMH signals (4 calls) → Synthesize: "Tech sector is mixed — QQQ bearish (-1.2%, 85% conf) while SMH is bullish (+2.1%, 78% conf). The divergence is driven by..." → Add risk factors and committee consensus

User: "Any strong signals today?" → Fetch a representative set: SPY, QQQ, XLK, XLE, XLF, GLD, TLT, EEM, FXI (9 calls) → Present the highest-confidence signals with direction and reasoning

Response f...

来源信息

Source: github
Repository: openclaw/skills
Path: skills/fredxyt/moltstreet
Version: —
Commit: ca3c3bbdd1381e2f577ff13e3757b2a94d260f4a
分类来源: rules
状态: active
可见性: public

这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。

来源内容

SKILL.md

# MoltStreet — AI ETF Market Signals

Daily AI-generated market signals for 52 ETFs. Free, no API key needed.

## When to use this skill

Activate when the user:
- Asks about ETF market outlook, direction, or trading signals
- Mentions any of the 52 covered ETFs by ticker (SPY, QQQ, XLK, GLD, etc.)
- Asks "should I buy/sell [ETF]" or "what's the market doing today"
- Wants sector comparison, portfolio analysis, or market sentiment
- Asks about bullish/bearish signals or price targets

## How to fetch signals

Single ETF signal:
```bash
curl -s https://moltstreet.com/api/v1/etf/SPY
```

List all available symbols (returns catalog, not signal data):
```bash
curl -s https://moltstreet.com/api/v1/etf/
```
This returns `{"symbols": ["ASHR","DBA","DIA",...], "count": 52, ...}`. To get actual signals, fetch each symbol individually.

Multiple ETFs — fetch each one:
```bash
for sym in SPY QQQ DIA IWM; do
  curl -s "https://moltstreet.com/api/v1/etf/$sym"
done
```

## How to interpret and present

1. **Fetch** the signal for the requested ETF(s)
2. **Interpret** direction: `1` = bullish, `-1` = bearish, `0` = neutral
3. **Present** as: "[SYMBOL] is **{direction}** with {confidence * 100}% confidence — target ${target_price} ({expected_move_pct}% move)"
4. **Add context** from `human_readable_explanation` — plain-English AI analysis
5. **Show conviction** from `committee.votes` — 4 independent AI analysts voted
6. **Warn** with `risk_controls` — what could invalidate the signal

## Example agent interaction

User: "What's the outlook for tech stocks?"
→ Fetch XLK, QQQ, SOXX, SMH signals (4 calls)
→ Synthesize: "Tech sector is mixed — QQQ bearish (-1.2%, 85% conf) while SMH is bullish (+2.1%, 78% conf). The divergence is driven by..."
→ Add risk factors and committee consensus

User: "Any strong signals today?"
→ Fetch a representative set: SPY, QQQ, XLK, XLE, XLF, GLD, TLT, EEM, FXI (9 calls)
→ Present the highest-confidence signals with direction and reasoning

## Response f...

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