MoltStreet Portfolio

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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"]}}}

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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.