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openbb-invest-api/openclaw-skills/fundamental-analysis/SKILL.md
Yaojia Wang 880f830741
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refactor: comprehensive skill rewrite with professional analyst perspective
Coverage: 19% → 67% of API endpoints (88/131)

market-analysis: 5 → 15 endpoints (all 14 technical indicators + historical)
- Added: ADX, Stochastic, Keltner, Donchian, Aroon, CCI, Fib, A/D, Cones, VWAP
- Added confluence/divergence analysis guidance

fundamental-analysis: 5 → 12 endpoints
- Added: summary (all-in-one), CAPM, Sortino, Omega, estimates,
  share-statistics, institutional, dividends, calendar/earnings
- Added institutional ownership and earnings catalyst flagging

sentiment-analysis: 5 → 16 endpoints
- Added: reddit-sentiment, social-sentiment, shorts/ftd, darkpool/otc,
  share-statistics, institutional, congress/trades
- Restructured as smart money vs retail noise hierarchy

macro-analysis: 6 → 23 endpoints
- Added: treasury-rates, effr, sofr, spreads, hqm, tips-yields,
  pce, gdp, unemployment, money-measures, cli, sloos,
  nonfarm-payrolls, empire-state, central-bank-holdings,
  fomc-documents, sp500-multiples
- Added business cycle positioning framework

trade-analyze: updated data collection to use /summary endpoint

AGENTS.md (all 4 debate agents): updated for sessions_spawn protocol
SOUL.md (all 4): removed unavailable memory_search, REPLY_SKIP refs
deploy.sh: fixed nvm loading for SSH
2026-03-21 19:11:33 +01:00

3.8 KiB

name, description, user-invocable, metadata
name description user-invocable metadata
fundamental-analysis Professional fundamental analysis — valuation, growth quality, financial health, risk metrics, institutional positioning via openbb-invest-api true
openclaw
emoji requires
📋
bins
curl

Fundamental Analysis

Generate a professional-grade fundamental analysis. Think like a buy-side equity analyst.

Data Collection

BASE=https://invest-api.k8s.home

# Company overview (quote + profile + metrics + financials in one call)
curl -sk "$BASE/api/v1/stock/{TICKER}/summary"

# Analyst consensus estimates
curl -sk "$BASE/api/v1/stock/{TICKER}/estimates"

# Analyst upgrades/downgrades with price targets
curl -sk "$BASE/api/v1/stock/{TICKER}/upgrades"

# Analyst buy/hold/sell counts
curl -sk "$BASE/api/v1/stock/{TICKER}/recommendations"

# Quantitative risk: Sharpe, volatility, max drawdown
curl -sk "$BASE/api/v1/stock/{TICKER}/performance?days=365"

# CAPM: beta, alpha, systematic vs idiosyncratic risk
curl -sk "$BASE/api/v1/stock/{TICKER}/capm"

# Sortino ratio (downside risk — better than Sharpe for asymmetric returns)
curl -sk "$BASE/api/v1/stock/{TICKER}/sortino?days=365"

# Omega ratio (full distribution gain/loss)
curl -sk "$BASE/api/v1/stock/{TICKER}/omega?days=365"

# Share statistics (float, shares outstanding, short % of float)
curl -sk "$BASE/api/v1/stock/{TICKER}/share-statistics"

# Institutional holders (13F — who's buying/selling)
curl -sk "$BASE/api/v1/stock/{TICKER}/institutional"

# Dividend history (if applicable)
curl -sk "$BASE/api/v1/stock/{TICKER}/dividends"

# Upcoming earnings date
curl -sk "$BASE/api/v1/calendar/earnings?start_date=$(date +%Y-%m-%d)&end_date=$(date -d '+30 days' +%Y-%m-%d 2>/dev/null || date -v+30d +%Y-%m-%d)"

Report Structure

## {TICKER} Fundamental Analysis — {date}

### Valuation
- P/E: {value} vs S&P 500 avg (~22) — [cheap / fair / rich]
- P/B: {value}
- EV/EBITDA: {if available}
- Price vs consensus target: ${current} vs ${target} ({upside/downside}%)
- Price target range: ${low} — ${high}

### Growth Quality
- Revenue YoY: {%} — trend [accelerating / decelerating / stable]
- EPS YoY: {%}
- ROE: {%} — [excellent >20% / strong >15% / moderate >10% / weak <10%]
- ROA: {%}
- Net margin: {%} — [expanding / compressing]
- Forward estimates: {consensus EPS for next quarter/year}

### Financial Health
- Debt-to-Equity: {ratio} — [conservative <0.5 / moderate / leveraged >1.5]
- Current Ratio: {ratio} — [healthy >1.5 / tight <1.0]
- Free Cash Flow: {trend and magnitude}
- Cash position: {if available}

### Risk Profile
- Beta: {value} — [defensive <0.8 / market ~1.0 / aggressive >1.2]
- CAPM alpha: {%} — [outperforming / underperforming vs market]
- Sharpe (1Y): {value} — [poor <0.5 / good >1.0 / excellent >2.0]
- Sortino (1Y): {value} — [context vs Sharpe]
- Max drawdown (1Y): {%}
- Omega ratio: {value}

### Institutional & Ownership
- Float: {shares} ({% of total})
- Short % of float: {%} — [low <5% / moderate / high >15%]
- Top institutional holders: {names if available}
- Recent institutional activity: [net buying / net selling / stable]

### Analyst Consensus
- Ratings: {strong buy} strong buy / {buy} buy / {hold} hold / {sell} sell
- Recent actions: {last 2-3 upgrades/downgrades with firm names}
- Upcoming earnings: {date if within 30 days — FLAG if within 7 days}

### Dividend (if applicable)
- Yield: {%}
- Payout ratio: {%}
- Growth streak: {years}

### Signal: [BULLISH / BEARISH / NEUTRAL]
### Confidence: {1-10}
### Key Risk: {one-line}

Rules

  • Use ONLY data from API responses
  • Compare metrics to sector peers, not just absolute thresholds
  • Flag earnings within 7 days as a major catalyst/risk
  • Sortino > Sharpe for stocks with asymmetric return profiles
  • High short interest + upcoming catalyst = potential squeeze
  • Keep under 500 words