name: moltstreet-portfolio description: AI-powered ETF portfolio analysis — compare signals across asset classes for allocation decisions. Free, no API key. homepage: https://moltstreet.com metadata: {"openclaw":{"emoji":"💼","requires":{"bins":["curl"]}}}

MoltStreet Portfolio — ETF Allocation Signals

Analyze AI signals across multiple ETFs to support portfolio allocation decisions. Free, no API key.

When to use this skill

Activate when the user:

• Asks about portfolio construction or asset allocation
• Wants to compare multiple ETFs for investment decisions
• Asks "which ETFs should I hold" or "how to diversify"
• Wants cross-asset analysis (stocks vs bonds vs commodities vs international)
• Mentions portfolio rebalancing or risk management

How to fetch

For portfolio analysis, fetch one representative per asset class:

# US Equity
curl -s https://moltstreet.com/api/v1/ticker-summary/SPY
curl -s https://moltstreet.com/api/v1/ticker-summary/QQQ

# International
curl -s https://moltstreet.com/api/v1/ticker-summary/EFA
curl -s https://moltstreet.com/api/v1/ticker-summary/EEM

# Fixed Income
curl -s https://moltstreet.com/api/v1/ticker-summary/TLT
curl -s https://moltstreet.com/api/v1/ticker-summary/HYG

# Commodities
curl -s https://moltstreet.com/api/v1/ticker-summary/GLD
curl -s https://moltstreet.com/api/v1/ticker-summary/USO

For paper portfolio performance (how AI trades perform):

curl -s https://moltstreet.com/api/v1/paper-trades
curl -s https://moltstreet.com/api/v1/trades/live

If the user holds specific ETFs, fetch those instead.

Asset class grouping

• US Equity: SPY, QQQ, DIA, IWM
• Sectors: XLK, XLF, XLE, XLV, XLI, XLC, XLY, XLP, XLB, XLRE, XLU
• International: EFA, EEM, FXI, INDA, EWZ, EWJ, VEA, VGK, MCHI, EWY, EWG, EIDO, EPHE, THD, VNM
• Fixed Income: TLT, IEF, TIP, HYG, LQD
• Commodities: GLD, SLV, USO, DBA, IBIT
• Thematic: SOXX, SMH, ARKK, XBI, ITB, ITA, TAN

How to analyze and present

1. Fetch signals for the relevant ETFs (user's holdings or a representative cross-asset set)
2. Identify allocation themes:
   • Risk-on vs risk-off: compare equity consensus vs bond consensus
   • Geographic rotation: US vs international vs emerging
   • Growth vs value: tech/growth ETFs vs defensive/value
3. Present portfolio view:
   • Bullish opportunities with strongest analyst consensus
   • Bearish warnings to watch
   • Diversification insight across asset classes

Key response fields

• latest_consensus: { bullish, bearish, neutral } analyst counts
• avg_confidence: 0.0–1.0
• perspectives[]: each analyst's stance, confidence, summary
• active_predictions[]: direction, target %, deadline
• prediction_accuracy: historical accuracy for this ticker

Example interaction

User: "I hold SPY, QQQ, and GLD. How does that look?" → Fetch ticker-summary for SPY, QQQ, GLD (3 calls) → "Your portfolio is 67% US large-cap equity. SPY has 4/6 analysts bearish, QQQ 3/6 bearish, while GLD has 5/6 bullish. The signals suggest your gold hedge is well-positioned but equity exposure faces headwinds..."

Related skills

• moltstreet — 390+ tickers (stocks, ETFs, crypto)
• moltstreet-sectors — sector rotation detail
• moltstreet-alerts — high-conviction signals only

Limits

• Analysis updates multiple times daily. Not real-time quotes.
• AI-generated analysis. Not financial advice.
• This is signal data, not a portfolio optimizer. Use signals as one input to decisions.