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18 changes: 18 additions & 0 deletions python/configs/agent_cards/aswath_damodaran_agent.json
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{
"name": "AswathDamodaranAgent",
"url": "http://localhost:10010/",
"description": "Valuation-focused analysis using robust discounted cash flow and intrinsic value methods. **CAUTION**: Only stock symbols in {AAPL, GOOGL, MSFT, NVDA, TSLA} is/are supported and the agent will refuse to answer for other symbols. The input should contain one or more stock symbol(s) from this list. ",
"skills": [
{
"id": "aswath_damodaran_agent",
"name": "Aswath Damodaran",
"description": "Valuation-focused analysis using robust discounted cash flow and intrinsic value methods.",
"examples": [
"Value Tesla using a DCF with scenario analysis",
"What's the intrinsic value range for Nvidia based on conservative growth assumptions?"
],
"tags": ["valuation", "DCF", "intrinsic value"]
}
],
"enabled": true
}
18 changes: 18 additions & 0 deletions python/configs/agent_cards/ben_graham_agent.json
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{
"name": "BenGrahamAgent",
"url": "http://localhost:10011/",
"description": "Margin-of-safety and value-investing oriented screens and stock selection. **CAUTION**: Only stock symbols in {AAPL, GOOGL, MSFT, NVDA, TSLA} is/are supported and the agent will refuse to answer for other symbols. The input should contain one or more stock symbol(s) from this list. ",
"skills": [
{
"id": "ben_graham_agent",
"name": "Ben Graham",
"description": "Margin-of-safety and value-investing oriented screens and stock selection.",
"examples": [
"Find stocks trading below intrinsic value with strong balance sheets",
"Screen for deep value opportunities in the small-cap universe"
],
"tags": ["value investing", "margin of safety"]
}
],
"enabled": true
}
18 changes: 18 additions & 0 deletions python/configs/agent_cards/bill_ackman_agent.json
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{
"name": "BillAckmanAgent",
"url": "http://localhost:10012/",
"description": "Event-driven and activist-investor style analysis focused on catalysts and corporate structure improvements. **CAUTION**: Only stock symbols in {AAPL, GOOGL, MSFT, NVDA, TSLA} is/are supported and the agent will refuse to answer for other symbols. The input should contain one or more stock symbol(s) from this list. ",
"skills": [
{
"id": "bill_ackman_agent",
"name": "Bill Ackman",
"description": "Event-driven and activist-investor style analysis focused on catalysts and corporate structure improvements.",
"examples": [
"Identify potential activist targets with undervalued assets",
"What catalysts could unlock value at Company X?"
],
"tags": ["activist", "event-driven", "catalyst"]
}
],
"enabled": true
}
18 changes: 18 additions & 0 deletions python/configs/agent_cards/cathie_wood_agent.json
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{
"name": "CathieWoodAgent",
"url": "http://localhost:10013/",
"description": "High-conviction growth and disruptive-innovation oriented analysis with long-term thematic views. **CAUTION**: Only stock symbols in {AAPL, GOOGL, MSFT, NVDA, TSLA} is/are supported and the agent will refuse to answer for other symbols. The input should contain one or more stock symbol(s) from this list. ",
"skills": [
{
"id": "cathie_wood_agent",
"name": "Cathie Wood",
"description": "High-conviction growth and disruptive-innovation oriented analysis with long-term thematic views.",
"examples": [
"Assess the long-term growth thesis for ARK-style thematic investments",
"How might disruptive technology revenues evolve over the next 5 years?"
],
"tags": ["growth", "disruption", "thematic"]
}
],
"enabled": true
}
18 changes: 18 additions & 0 deletions python/configs/agent_cards/charlie_munger_agent.json
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{
"name": "CharlieMungerAgent",
"url": "http://localhost:10014/",
"description": "Broad multidisciplinary perspective, focus on high-quality businesses with durable competitive advantages. **CAUTION**: Only stock symbols in {AAPL, GOOGL, MSFT, NVDA, TSLA} is/are supported and the agent will refuse to answer for other symbols. The input should contain one or more stock symbol(s) from this list. ",
"skills": [
{
"id": "charlie_munger_agent",
"name": "Charlie Munger",
"description": "Broad multidisciplinary perspective, focus on high-quality businesses with durable competitive advantages.",
"examples": [
"Identify companies with long-term competitive moats",
"Evaluate management quality and capital allocation decisions"
],
"tags": ["quality investing", "moat", "capital allocation"]
}
],
"enabled": true
}
18 changes: 18 additions & 0 deletions python/configs/agent_cards/fundamentals_analyst_agent.json
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{
"name": "FundamentalsAnalystAgent",
"url": "http://localhost:10023/",
"description": "Financial-statement-driven analysis covering profitability, cash flows, and balance sheet strength. **CAUTION**: Only stock symbols in {AAPL, GOOGL, MSFT, NVDA, TSLA} is/are supported and the agent will refuse to answer for other symbols. The input should contain one or more stock symbol(s) from this list. ",
"skills": [
{
"id": "fundamentals_analyst_agent",
"name": "Fundamentals Analyst",
"description": "Financial-statement-driven analysis covering profitability, cash flows, and balance sheet strength.",
"examples": [
"Analyze revenue and margin trends for Microsoft",
"Assess liquidity and leverage for Boeing"
],
"tags": ["fundamentals", "financial statements", "metrics"]
}
],
"enabled": true
}
168 changes: 0 additions & 168 deletions python/configs/agent_cards/hedge_fund_agent.json

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18 changes: 18 additions & 0 deletions python/configs/agent_cards/michael_burry_agent.json
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{
"name": "MichaelBurryAgent",
"url": "http://localhost:10015/",
"description": "Contrarian, deep-research driven value and special-situation analysis. **CAUTION**: Only stock symbols in {AAPL, GOOGL, MSFT, NVDA, TSLA} is/are supported and the agent will refuse to answer for other symbols. The input should contain one or more stock symbol(s) from this list. ",
"skills": [
{
"id": "michael_burry_agent",
"name": "Michael Burry",
"description": "Contrarian, deep-research driven value and special-situation analysis.",
"examples": [
"Find contrarian opportunities overlooked by the market",
"Analyze distressed or deeply undervalued securities"
],
"tags": ["contrarian", "deep value", "special situations"]
}
],
"enabled": true
}
18 changes: 18 additions & 0 deletions python/configs/agent_cards/mohnish_pabrai_agent.json
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{
"name": "MohnishPabraiAgent",
"url": "http://localhost:10016/",
"description": "Concentrated, low-risk value investing with a focus on high-upside asymmetric bets. **CAUTION**: Only stock symbols in {AAPL, GOOGL, MSFT, NVDA, TSLA} is/are supported and the agent will refuse to answer for other symbols. The input should contain one or more stock symbol(s) from this list. ",
"skills": [
{
"id": "mohnish_pabrai_agent",
"name": "Mohnish Pabrai",
"description": "Concentrated, low-risk value investing with a focus on high-upside asymmetric bets.",
"examples": [
"Build a concentrated portfolio of high-conviction value ideas",
"Where are asymmetric risk-reward opportunities today?"
],
"tags": ["concentrated", "value", "asymmetric"]
}
],
"enabled": true
}
18 changes: 18 additions & 0 deletions python/configs/agent_cards/peter_lynch_agent.json
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{
"name": "PeterLynchAgent",
"url": "http://localhost:10017/",
"description": "Bottom-up, growth-at-a-reasonable-price (GARP) style stock picking and idea generation. **CAUTION**: Only stock symbols in {AAPL, GOOGL, MSFT, NVDA, TSLA} is/are supported and the agent will refuse to answer for other symbols. The input should contain one or more stock symbol(s) from this list. ",
"skills": [
{
"id": "peter_lynch_agent",
"name": "Peter Lynch",
"description": "Bottom-up, growth-at-a-reasonable-price (GARP) style stock picking and idea generation.",
"examples": [
"Spot consumer-facing growth stories with reasonable valuations",
"Which small-cap growth companies show durable revenue expansion?"
],
"tags": ["GARP", "bottom-up", "growth"]
}
],
"enabled": true
}
18 changes: 18 additions & 0 deletions python/configs/agent_cards/phil_fisher_agent.json
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{
"name": "PhilFisherAgent",
"url": "http://localhost:10018/",
"description": "Qualitative growth investing focused on management, R&D, and long-term industry positioning. **CAUTION**: Only stock symbols in {AAPL, GOOGL, MSFT, NVDA, TSLA} is/are supported and the agent will refuse to answer for other symbols. The input should contain one or more stock symbol(s) from this list. ",
"skills": [
{
"id": "phil_fisher_agent",
"name": "Phil Fisher",
"description": "Qualitative growth investing focused on management, R&D, and long-term industry positioning.",
"examples": [
"Assess a company's management and research capabilities",
"What are the long-term secular growth drivers for Company Y?"
],
"tags": ["qualitative", "management", "R&D"]
}
],
"enabled": true
}
18 changes: 18 additions & 0 deletions python/configs/agent_cards/rakesh_jhunjhunwala_agent.json
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{
"name": "RakeshJhunjhunwalaAgent",
"url": "http://localhost:10019/",
"description": "Concentrated, conviction-driven investing with an emphasis on high-growth emerging opportunities. **CAUTION**: Only stock symbols in {AAPL, GOOGL, MSFT, NVDA, TSLA} is/are supported and the agent will refuse to answer for other symbols. The input should contain one or more stock symbol(s) from this list. ",
"skills": [
{
"id": "rakesh_jhunjhunwala_agent",
"name": "Rakesh Jhunjhunwala",
"description": "Concentrated, conviction-driven investing with an emphasis on high-growth emerging opportunities.",
"examples": [
"Identify high-growth opportunities in emerging markets",
"Which mid-cap names have the potential to scale rapidly?"
],
"tags": ["emerging markets", "conviction", "growth"]
}
],
"enabled": true
}
18 changes: 18 additions & 0 deletions python/configs/agent_cards/sentiment_analyst_agent.json
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{
"name": "SentimentAnalystAgent",
"url": "http://localhost:10024/",
"description": "Market sentiment and positioning analysis using newsflow, social signals, and positioning data. **CAUTION**: Only stock symbols in {AAPL, GOOGL, MSFT, NVDA, TSLA} is/are supported and the agent will refuse to answer for other symbols. The input should contain one or more stock symbol(s) from this list. ",
"skills": [
{
"id": "sentiment_analyst_agent",
"name": "Sentiment Analyst",
"description": "Market sentiment and positioning analysis using newsflow, social signals, and positioning data.",
"examples": [
"Gauge retail sentiment around meme stocks",
"Summarize recent news sentiment for Amazon"
],
"tags": ["sentiment", "news", "social"]
}
],
"enabled": true
}
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