financial-intel

Financial Intelligence Skill

Real-time momentum scoring and market intelligence for 6,500+ stocks and crypto assets. Powered by Banana Farmer — an AI momentum scanner that combines technical analysis, price momentum, and social sentiment into a single 0-100 Ripeness Score.

Backed by 730 days of tracked data across 12,450+ signals with a verified 80% five-day win rate.

Quick Start

Option A — Self-provision a free key instantly (no account needed):

curl -s -X POST "https://bananafarmer.app/api/bot/v1/keys/trial" \
  -H "Content-Type: application/json" \
  -d '{"name": "My Agent", "email": "[email protected]"}'

Save the key from the response. One key per email, instant, no credit card.

Option B — Sign up for a full account: bananafarmer.app/developers

Then:

1. Set your key: export BF_API_KEY=bf_bot_your_key_here (or add to OpenClaw config)
2. Try it: python3 scripts/bf-lookup.py AAPL — you get score, badge, RSI, coil, price action, bull/bear case, and what to watch for

That is it. You are now scanning 6,500+ assets for momentum signals.

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Prompt Examples

Single Ticker Analysis

Look up any stock or crypto symbol for a full momentum profile: score, badge, RSI, coil pattern, EMA alignment, price action, volatility, scoring breakdown, AI summary, and bull/bear cases.

Example prompts:

• "What's the momentum on AAPL?"
• "Look up TSLA for me"
• "How's Bitcoin looking?"
• "Check NVDA's score and technicals"
• "Is CRWV ripe?"
• "What's the coil score on AMD?"
• "Pull up the full analysis on SMCI"
• "Is PLTR overbought right now?"

How to run:

python3 scripts/bf-lookup.py AAPL
python3 scripts/bf-lookup.py TSLA NVDA AMD   # Multiple tickers at once
python3 scripts/bf-lookup.py BTC              # Crypto works too

What you get back: Score (0-100), badge (ripe/ripening/overripe/too-late/neutral), current price, 1d and 5d change, RSI with overbought/oversold labels, coil score with breakout flag, EMA 20/50 alignment, 52-week high proximity, volatility metrics, scoring breakdown (technical/momentum/social), key drivers, AI summary bullets, bull case, bear case, and what to watch for.

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Top Signals / Batch Analysis

See the highest-scoring momentum signals right now — the tickers showing the strongest alignment across technical, price action, and social indicators.

Example prompts:

• "What are the top signals right now?"
• "Show me the hottest momentum setups"
• "Any ripe signals today?"
• "Top 5 stocks by momentum score"
• "What's ripening that I should watch?"
• "Show me the top 20 signals"
• "Any ripe crypto signals?"

How to run:

python3 scripts/bf-market.py top                        # Default top 10, all badges
python3 scripts/bf-market.py top --limit 20             # Top 20
python3 scripts/bf-market.py top --badge ripe           # Only ripe signals
python3 scripts/bf-market.py top --badge ripening       # Only ripening (watchlist candidates)
python3 scripts/bf-market.py top --limit 5 --badge ripe # Top 5 ripe only

What you get back: Ranked table with symbol, score, badge, 1-day change, 5-day change, and key drivers for each signal. Results are deduplicated by symbol automatically.

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Portfolio Tracking

Track multiple holdings across accounts. Get a morning-brief-style intelligence report with alerts for RSI overbought/oversold, big daily moves, ripe/overripe signals, risk flags, and P&L calculations.

Example prompts:

• "Check my portfolio"
• "How are my holdings doing?"
• "Run a portfolio brief"
• "Any alerts on my positions?"
• "How's my aggressive account looking?"
• "What's the P&L on my tech holdings?"
• "Any of my holdings overbought?"
• "Which of my stocks are ripe right now?"

How to run:

python3 scripts/bf-portfolio.py portfolios.json                 # Full brief, all accounts
python3 scripts/bf-portfolio.py portfolios.json --account aaron  # Filter to one account
python3 scripts/bf-portfolio.py portfolios.json --json           # JSON output for piping

Portfolio file format (portfolios.json):

{
  "accounts": [
    {
      "id": "personal",
      "name": "My Portfolio",
      "risk_profile": "aggressive",
      "holdings": [
        {"symbol": "AAPL", "shares": 50, "cost_basis": 185.00},
        {"symbol": "NVDA", "shares": 20, "cost_basis": 450.00},
        {"symbol": "TSLA", "shares": 10, "cost_basis": 210.00}
      ]
    },
    {
      "id": "retirement",
      "name": "IRA Account",
      "risk_profile": "conservative",
      "holdings": [
        {"symbol": "VOO", "shares": 100, "cost_basis": 430.00},
        {"symbol": "ABBV", "shares": 40, "cost_basis": 155.00}
      ]
    }
  ]
}

What you get back: Market status, data freshness, per-account sections with alerts (overbought, oversold, big moves, ripe/overripe signals, too-late warnings, risk-profile mismatches), and detailed holding lines showing price, score, badge, changes, RSI, shares, cost basis, and unrealized P&L with percentages.

Alert types generated:

• SIGNAL: holding is ripe or overripe
• CAUTION: holding is too-late (momentum exhausted)
• OVERBOUGHT: RSI above 70 (or 80 for strong warning)
• OVERSOLD: RSI below 30 (potential bounce zone)
• BIG MOVE: more than 5% daily change
• WEEKLY: more than 10% five-day change
• NOTE: high momentum in conservative account

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Market Overview

Get a bird's-eye view of the market: how many signals are firing by badge, what is trending, new ripe signals, and a narrative summary.

Example prompts:

• "What's the market doing today?"
• "Give me a market pulse"
• "How's the overall momentum landscape?"
• "How many ripe signals are there right now?"
• "What's trending in the market?"
• "Any new ripe signals today?"

How to run:

python3 scripts/bf-market.py pulse

What you get back: Narrative summary, signal counts broken down by badge (ripe, ripening, overripe, too-late, neutral), trending symbols, and newly ripe signals that just crossed the threshold.

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Performance Tracking / Proof Data

See which signals actually played out: winners and losers with real entry prices, current prices, percentage moves, and milestone returns over multiple time horizons.

Example prompts:

• "Which signals worked this week?"
• "Show me recent winners"
• "What's the track record look like?"
• "Any big movers from recent signals?"
• "Show me winners from the last 30 days"
• "What percentage of signals won this week?"
• "What were the biggest losers recently?"

How to run:

python3 scripts/bf-movers.py                       # Default: last 7 days, top 5
python3 scripts/bf-movers.py --days 30 --limit 10  # Last 30 days, top 10
python3 scripts/bf-movers.py --days 1 --limit 3    # Today's movers

What you get back: Winners and losers sections, each showing symbol, percentage change, entry price, current price, and milestone returns (1d, 3d, 5d, 10d). Summary line with calculated win rate for the period.

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Risk Assessment

Evaluate whether a stock is extended, overbought, or showing risk flags. Combine RSI, badge, coil, and volatility data into a risk picture.

Example prompts:

• "Is TSLA overbought?"
• "What's the risk on NVDA right now?"
• "Is AMD overripe?"
• "Should I be worried about my SMCI position?"
• "What's the max drawdown on CRWV?"
• "Is this too late to buy PLTR?"
• "Any of the top signals looking overextended?"

How to run:

python3 scripts/bf-lookup.py TSLA   # Check RSI, badge, volatility, and bear case