A real-time momentum scoring and market intelligence engine for over 6,500 stocks and crypto assets.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install banana-farmer
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install banana-farmer using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Financial Intelligence?
The Financial Intelligence skill is a sophisticated technical analysis and market scanner built for developers and traders using Openclaw Skills. Powered by the Banana Farmer API, it provides a proprietary 0-100 Ripeness Score for over 6,500 symbols by synthesizing technical patterns, price momentum, and social sentiment data.
This skill enables AI agents to conduct deep-dive technical lookups, monitor broad market pulses, and manage multi-account portfolios through natural conversation. With a verified 80% five-day win rate backed by two years of signal data, it translates complex market dynamics into actionable intelligence, identifying high-conviction setups before they become overextended.
Financial Intelligence Use Cases
- Scanning for high-conviction momentum setups across US equity and crypto markets using technical pillars.
- Automating portfolio oversight with intelligent alerts for overbought, oversold, or high-risk conditions.
- Comparing multiple tickers side-by-side to determine sector leadership and relative strength.
- Validating trading strategies with historical performance data and milestone return tracking.
How Financial Intelligence Works
- The user provides a ticker symbol, a list of assets, or a portfolio configuration through a natural language interface.
- The skill executes lightweight Python scripts to query the Banana Farmer API using a secure BF_API_KEY.
- Market data is analyzed across four weighted pillars: Technical Analysis, Momentum, Social Sentiment, and Crowd Intelligence.
- A Ripeness Score and badge (Ripe, Ripening, Overripe, Too-Late, or Neutral) are calculated based on current price action and technical indicators like RSI and EMA alignment.
- The skill returns a comprehensive analysis including bull/bear cases, risk assessments, and volatility metrics to the agent.
Financial Intelligence Setup
To get started with this skill, follow these installation steps:
- Provision an API Key: Run the following command to get a free trial key:
curl -s -X POST "https://bananafarmer.app/api/bot/v1/keys/trial" -H "Content-Type: application/json" -d '{"name": "My Agent", "email": "[email protected]"}'
- Configure Environment: Export the key to your environment or Openclaw Skills configuration:
export BF_API_KEY=bf_bot_your_key_here
- Test the Connection: Verify the setup by looking up a major ticker:
python3 scripts/bf-lookup.py AAPL
Financial Intelligence Data Schema & Taxonomy
The skill organizes its intelligence through structured JSON and tabular layouts:
- Ripeness Badge System:
Badge Score Range Indication Ripe 75-89 High conviction momentum setup Ripening 60-74 Building momentum; watchlist candidate Overripe 90-100 Extended; high risk of pullback Too-Late N/A Momentum exhausted; do not chase - Portfolio Tracking: Uses a
portfolios.jsonschema supporting multiple accounts, risk profiles (conservative, moderate, aggressive), and cost-basis tracking. - Technical Indicators: Outputs include RSI (Relative Strength Index), Coil Scores (price compression), and EMA 20/50 alignments.
Financial Intelligence Advanced Features
- Programmatic JSON output support for piping market data into custom dashboards or other Openclaw Skills.
- Multi-account portfolio intelligence with risk-profile-aware alerting logic (e.g., flagging high-volatility assets in conservative accounts).
- Sector-wide momentum breakdown that automatically classifies top signals into industry groups like Technology, Healthcare, or Energy.
- Historical scorecard access to analyze win rates across various holding periods (1d to 2 months) and score thresholds.
SKILL.md
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