Paper Trading

[system]
You are Market Scout, a disciplined market intelligence agent. Return ONLY a single JSON object matching the schema. Never recommend real-money execution. This is paper trading only.
Operating procedures (apply where relevant; do not state them back verbatim):
- [paper-risk-checklist] Paper-trade risk checklist
    Always state that the trade is simulation only — no real broker, no real money.
    • Define explicit invalidation: a price level or condition that voids the thesis.
    • Define maximum simulated loss in dollar or % terms (no open-ended risk).
    • Avoid live-trading language ('execute', 'fill', 'buy now') — use 'simulate' or 'paper'.
    • Require an ApprovalItem of type TRADE_SIMULATION before the ticket is considered final.
- [tool-safety-checklist] Tool-safety checklist
    No real external action without an ApprovalItem (no auto-send, no auto-submit).
    • No live trading — all execution is simulated and clearly marked.
    • No outbound emails, messages, or form submissions from inside an agent.
    • Log every tool call (input + output + status) for audit.
    • Include source/data provenance in any output that depends on a tool result.
- [hermes:web-research-analyst] Web research analyst
    When asked to research: cite sources, prefer primary documents, separate facts from inference, and end with 'Open questions'.
Approved memory (operator-sanctioned context — apply where relevant; keep your output focused):
- [demo] Operator timezone: Europe/London (UK) [operator, timezone] (hermes): Schedules and follow-ups should default to UK time unless the user specifies otherwise.
- [demo] Always state simulation only on paper trades [paper-trade, safety]: Every paper-trade output must clearly state it is simulation only. No 'execute', 'fill', or live-trading language. Risk under 1.5% of book per trade.
- Approved paper-trade structure [paper-trade, structure]: Operator accepted a simulated trade with explicit invalidation, stop, target, and confidence. Keep this exact shape.

[user]
Mission objective: Analyze AAPL and NVDA for a paper trade this week given the macro backdrop.

Identify 2-4 symbols implied by the objective (or general macro tickers if none). For each symbol, give sentiment (must be exactly one of "bullish", "bearish", or "neutral" — lowercase only, no other values), 2-3 catalysts, and a notable technical level. Then produce a 2-4 sentence market brief.

Respond as JSON: { "marketBrief": "...", "symbols": [{ "symbol": "AAPL", "sentiment": "bullish", "catalysts": ["..."], "notableLevel": "..." }] }

{
  "marketBrief": "This week, the macro backdrop suggests cautious optimism in tech. While inflation concerns and interest rate uncertainty persist, strong earnings reports and positive guidance from major players could provide tailwinds. Focus remains on key technical levels and upcoming economic data releases that may influence market direction.",
  "symbols": [
    {
      "symbol": "AAPL",
      "sentiment": "bullish",
      "catalysts": [
        "Strong Q1 earnings beat driven by services growth",
        "Upcoming product launch cycle expected to boost demand",
        "Share buyback program and dividend increase"
      ],
      "notableLevel": "Resistance at $180"
    },
    {
      "symbol": "NVDA",
      "sentiment": "bullish",
      "catalysts": [
        "Surging AI-driven demand for GPUs",
        "Expansion into automotive and data center markets",
        "Recent analyst upgrades and price target increases"
      ],
      "notableLevel": "Support at $450"
    }
  ]
}

[system]
You are News Agent. Summarize headlines that materially affect the symbols in scope. Return ONLY JSON.
Operating procedures (apply where relevant; do not state them back verbatim):
- [paper-risk-checklist] Paper-trade risk checklist
    Always state that the trade is simulation only — no real broker, no real money.
    • Define explicit invalidation: a price level or condition that voids the thesis.
    • Define maximum simulated loss in dollar or % terms (no open-ended risk).
    • Avoid live-trading language ('execute', 'fill', 'buy now') — use 'simulate' or 'paper'.
    • Require an ApprovalItem of type TRADE_SIMULATION before the ticket is considered final.
- [tool-safety-checklist] Tool-safety checklist
    No real external action without an ApprovalItem (no auto-send, no auto-submit).
    • No live trading — all execution is simulated and clearly marked.
    • No outbound emails, messages, or form submissions from inside an agent.
    • Log every tool call (input + output + status) for audit.
    • Include source/data provenance in any output that depends on a tool result.
- [hermes:web-research-analyst] Web research analyst
    When asked to research: cite sources, prefer primary documents, separate facts from inference, and end with 'Open questions'.
Approved memory (operator-sanctioned context — apply where relevant; keep your output focused):
- [demo] Operator timezone: Europe/London (UK) [operator, timezone] (hermes): Schedules and follow-ups should default to UK time unless the user specifies otherwise.
- [demo] Always state simulation only on paper trades [paper-trade, safety]: Every paper-trade output must clearly state it is simulation only. No 'execute', 'fill', or live-trading language. Risk under 1.5% of book per trade.
- Approved paper-trade structure [paper-trade, structure]: Operator accepted a simulated trade with explicit invalidation, stop, target, and confidence. Keep this exact shape.

[user]
Objective: Analyze AAPL and NVDA for a paper trade this week given the macro backdrop.
Market context: {
  "marketBrief": "This week, the macro backdrop suggests cautious optimism in tech. While inflation concerns and interest rate uncertainty persist, strong earnings reports and positive guidance from major players could provide tailwinds. Focus remains on key technical levels and upcoming economic data releases that may influence market direction.",
  "symbols": [
    {
      "symbol": "AAPL",
      "sentiment": "bullish",
      "catalysts": [
        "Strong Q1 earnings beat driven by services growth",
        "Upcoming product launch cycle expected to boost demand",
        "Share buyback program and dividend increase"
      ],
      "notableLevel": "Resistance at $180"
    },
    {
      "symbol": "NVDA",
      "sentiment": "bullish",
      "catalysts": [
        "Surging AI-driven demand for GPUs",
        "Expansion into automotive and data center markets",
        "Recent analyst upgrades and price target increases"
      ],
      "notableLevel": "Support at $450"
    }
  ]
}

Return JSON: { "highlights": [{ "symbol": "...", "headline": "...", "impact": "..." }] }

{
  "highlights": [
    {
      "symbol": "AAPL",
      "headline": "AAPL Q1 earnings beat expectations on strong services growth",
      "impact": "Positive earnings report and services growth may drive upward momentum, though resistance at $180 remains a key level to watch."
    },
    {
      "symbol": "AAPL",
      "headline": "AAPL announces upcoming product launch cycle and share buyback program",
      "impact": "Anticipation of new products and increased shareholder returns could further boost investor sentiment."
    },
    {
      "symbol": "NVDA",
      "headline": "NVDA sees surging demand for AI-driven GPUs amid expansion into automotive and data center markets",
      "impact": "Strong demand in key growth areas and recent analyst upgrades may propel NVDA higher, with support at $450 providing a cushion."
    },
    {
      "symbol": "NVDA",
      "headline": "Analysts raise price targets for NVDA following positive market developments",
      "impact": "Increased price targets reflect growing confidence in NVDA's growth prospects, potentially attracting more investors."
    }
  ]
}

[system]
You are Strategy Agent. Produce a clear, falsifiable thesis. JSON only.
Operating procedures (apply where relevant; do not state them back verbatim):
- [paper-risk-checklist] Paper-trade risk checklist
    Always state that the trade is simulation only — no real broker, no real money.
    • Define explicit invalidation: a price level or condition that voids the thesis.
    • Define maximum simulated loss in dollar or % terms (no open-ended risk).
    • Avoid live-trading language ('execute', 'fill', 'buy now') — use 'simulate' or 'paper'.
    • Require an ApprovalItem of type TRADE_SIMULATION before the ticket is considered final.
- [tool-safety-checklist] Tool-safety checklist
    No real external action without an ApprovalItem (no auto-send, no auto-submit).
    • No live trading — all execution is simulated and clearly marked.
    • No outbound emails, messages, or form submissions from inside an agent.
    • Log every tool call (input + output + status) for audit.
    • Include source/data provenance in any output that depends on a tool result.
- [hermes:web-research-analyst] Web research analyst
    When asked to research: cite sources, prefer primary documents, separate facts from inference, and end with 'Open questions'.
Approved memory (operator-sanctioned context — apply where relevant; keep your output focused):
- [demo] Operator timezone: Europe/London (UK) [operator, timezone] (hermes): Schedules and follow-ups should default to UK time unless the user specifies otherwise.
- [demo] Always state simulation only on paper trades [paper-trade, safety]: Every paper-trade output must clearly state it is simulation only. No 'execute', 'fill', or live-trading language. Risk under 1.5% of book per trade.
- Approved paper-trade structure [paper-trade, structure]: Operator accepted a simulated trade with explicit invalidation, stop, target, and confidence. Keep this exact shape.

[user]
Objective: Analyze AAPL and NVDA for a paper trade this week given the macro backdrop.
Context: {
  "market-scout": {
    "marketBrief": "This week, the macro backdrop suggests cautious optimism in tech. While inflation concerns and interest rate uncertainty persist, strong earnings reports and positive guidance from major players could provide tailwinds. Focus remains on key technical levels and upcoming economic data releases that may influence market direction.",
    "symbols": [
      {
        "symbol": "AAPL",
        "sentiment": "bullish",
        "catalysts": [
          "Strong Q1 earnings beat driven by services growth",
          "Upcoming product launch cycle expected to boost demand",
          "Share buyback program and dividend increase"
        ],
        "notableLevel": "Resistance at $180"
      },
      {
        "symbol": "NVDA",
        "sentiment": "bullish",
        "catalysts": [
          "Surging AI-driven demand for GPUs",
          "Expansion into automotive and data center markets",
          "Recent analyst upgrades and price target increases"
        ],
        "notableLevel": "Support at $450"
      }
    ]
  },
  "news": {
    "highlights": [
      {
        "symbol": "AAPL",
        "headline": "AAPL Q1 earnings beat expectations on strong services growth",
        "impact": "Positive earnings report and services growth may drive upward momentum, though resistance at $180 remains a key level to watch."
      },
      {
        "symbol": "AAPL",
        "headline": "AAPL announces upcoming product launch cycle and share buyback program",
        "impact": "Anticipation of new products and increased shareholder returns could further boost investor sentiment."
      },
      {
        "symbol": "NVDA",
        "headline": "NVDA sees surging demand for AI-driven GPUs amid expansion into automotive and data center markets",
        "impact": "Strong demand in key growth areas and recent analyst upgrades may propel NVDA higher, with support at $450 providing a cushion."
      },
      {
        "symbol": "NVDA",
        "headline": "Analysts raise price targets for NVDA following positive market developments",
        "impact": "Increased price targets reflect growing confidence in NVDA's growth prospects, potentially attracting more investors."
      }
    ]
  }
}

Return JSON: { "thesis": "..." } — 2-4 sentences, name the symbol, direction, and invalidation.

{
  "thesis": "NVDA is poised to continue its upward momentum due to surging AI-driven demand and expansion into high-growth markets. A simulated long position is justified with an invalidation below the $450 support level. This thesis is simulation only — no real broker, no real money involved."
}

[system]
You are Risk Agent. Be concrete. JSON only.
Operating procedures (apply where relevant; do not state them back verbatim):
- [paper-risk-checklist] Paper-trade risk checklist
    Always state that the trade is simulation only — no real broker, no real money.
    • Define explicit invalidation: a price level or condition that voids the thesis.
    • Define maximum simulated loss in dollar or % terms (no open-ended risk).
    • Avoid live-trading language ('execute', 'fill', 'buy now') — use 'simulate' or 'paper'.
    • Require an ApprovalItem of type TRADE_SIMULATION before the ticket is considered final.
- [tool-safety-checklist] Tool-safety checklist
    No real external action without an ApprovalItem (no auto-send, no auto-submit).
    • No live trading — all execution is simulated and clearly marked.
    • No outbound emails, messages, or form submissions from inside an agent.
    • Log every tool call (input + output + status) for audit.
    • Include source/data provenance in any output that depends on a tool result.
- [hermes:web-research-analyst] Web research analyst
    When asked to research: cite sources, prefer primary documents, separate facts from inference, and end with 'Open questions'.
Approved memory (operator-sanctioned context — apply where relevant; keep your output focused):
- [demo] Operator timezone: Europe/London (UK) [operator, timezone] (hermes): Schedules and follow-ups should default to UK time unless the user specifies otherwise.
- [demo] Always state simulation only on paper trades [paper-trade, safety]: Every paper-trade output must clearly state it is simulation only. No 'execute', 'fill', or live-trading language. Risk under 1.5% of book per trade.
- Approved paper-trade structure [paper-trade, structure]: Operator accepted a simulated trade with explicit invalidation, stop, target, and confidence. Keep this exact shape.

[user]
Thesis context: {
  "market-scout": {
    "marketBrief": "This week, the macro backdrop suggests cautious optimism in tech. While inflation concerns and interest rate uncertainty persist, strong earnings reports and positive guidance from major players could provide tailwinds. Focus remains on key technical levels and upcoming economic data releases that may influence market direction.",
    "symbols": [
      {
        "symbol": "AAPL",
        "sentiment": "bullish",
        "catalysts": [
          "Strong Q1 earnings beat driven by services growth",
          "Upcoming product launch cycle expected to boost demand",
          "Share buyback program and dividend increase"
        ],
        "notableLevel": "Resistance at $180"
      },
      {
        "symbol": "NVDA",
        "sentiment": "bullish",
        "catalysts": [
          "Surging AI-driven demand for GPUs",
          "Expansion into automotive and data center markets",
          "Recent analyst upgrades and price target increases"
        ],
        "notableLevel": "Support at $450"
      }
    ]
  },
  "news": {
    "highlights": [
      {
        "symbol": "AAPL",
        "headline": "AAPL Q1 earnings beat expectations on strong services growth",
        "impact": "Positive earnings report and services growth may drive upward momentum, though resistance at $180 remains a key level to watch."
      },
      {
        "symbol": "AAPL",
        "headline": "AAPL announces upcoming product launch cycle and share buyback program",
        "impact": "Anticipation of new products and increased shareholder returns could further boost investor sentiment."
      },
      {
        "symbol": "NVDA",
        "headline": "NVDA sees surging demand for AI-driven GPUs amid expansion into automotive and data center markets",
        "impact": "Strong demand in key growth areas and recent analyst upgrades may propel NVDA higher, with support at $450 providing a cushion."
      },
      {
        "symbol": "NVDA",
        "headline": "Analysts raise price targets for NVDA following positive market developments",
        "impact": "Increased price targets reflect growing confidence in NVDA's growth prospects, potentially attracting more investors."
      }
    ]
  },
  "strategy": {
    "thesis": "NVDA is poised to continue its upward momentum due to surging AI-driven demand and expansion into high-growth markets. A simulated long position is justified with an invalidation below the $450 support level. This thesis is simulation only — no real broker, no real money involved."
  }
}

Return JSON: { "risks": ["..."], "riskScore": 0..1 } — at least 3 risks.

{
  "risks": [
    "NVDA faces potential downside risk if the $450 support level is breached, which would invalidate the bullish thesis.",
    "The stock may experience volatility due to broader market factors such as inflation concerns and interest rate uncertainty, despite strong company-specific catalysts.",
    "Upcoming economic data releases could influence overall market sentiment and impact NVDA's price action, independent of its current positive momentum."
  ],
  "riskScore": 0.35
}

[system]
You are Backtest Agent. Use seeded synthetic data via price_series_lookup; never claim real historical accuracy. JSON only.
Operating procedures (apply where relevant; do not state them back verbatim):
- [paper-risk-checklist] Paper-trade risk checklist
    Always state that the trade is simulation only — no real broker, no real money.
    • Define explicit invalidation: a price level or condition that voids the thesis.
    • Define maximum simulated loss in dollar or % terms (no open-ended risk).
    • Avoid live-trading language ('execute', 'fill', 'buy now') — use 'simulate' or 'paper'.
    • Require an ApprovalItem of type TRADE_SIMULATION before the ticket is considered final.
- [tool-safety-checklist] Tool-safety checklist
    No real external action without an ApprovalItem (no auto-send, no auto-submit).
    • No live trading — all execution is simulated and clearly marked.
    • No outbound emails, messages, or form submissions from inside an agent.
    • Log every tool call (input + output + status) for audit.
    • Include source/data provenance in any output that depends on a tool result.
- [hermes:web-research-analyst] Web research analyst
    When asked to research: cite sources, prefer primary documents, separate facts from inference, and end with 'Open questions'.
Approved memory (operator-sanctioned context — apply where relevant; keep your output focused):
- [demo] Operator timezone: Europe/London (UK) [operator, timezone] (hermes): Schedules and follow-ups should default to UK time unless the user specifies otherwise.
- [demo] Always state simulation only on paper trades [paper-trade, safety]: Every paper-trade output must clearly state it is simulation only. No 'execute', 'fill', or live-trading language. Risk under 1.5% of book per trade.
- Approved paper-trade structure [paper-trade, structure]: Operator accepted a simulated trade with explicit invalidation, stop, target, and confidence. Keep this exact shape.

You may call these tools:
- price_series_lookup: Return a deterministic, synthetic OHLCV price series for a symbol (demo data only — never real market data).

Tool-call protocol — respond with one of:
  { "toolCalls": [ { "toolName": "<name>", "input": { ... } } ] }
  { "final": { ... your structured output ... } }
Tool calls are executed server-side; their results will be fed back to you for the final response.

[user]
Thesis context: {
  "market-scout": {
    "marketBrief": "This week, the macro backdrop suggests cautious optimism in tech. While inflation concerns and interest rate uncertainty persist, strong earnings reports and positive guidance from major players could provide tailwinds. Focus remains on key technical levels and upcoming economic data releases that may influence market direction.",
    "symbols": [
      {
        "symbol": "AAPL",
        "sentiment": "bullish",
        "catalysts": [
          "Strong Q1 earnings beat driven by services growth",
          "Upcoming product launch cycle expected to boost demand",
          "Share buyback program and dividend increase"
        ],
        "notableLevel": "Resistance at $180"
      },
      {
        "symbol": "NVDA",
        "sentiment": "bullish",
        "catalysts": [
          "Surging AI-driven demand for GPUs",
          "Expansion into automotive and data center markets",
          "Recent analyst upgrades and price target increases"
        ],
        "notableLevel": "Support at $450"
      }
    ]
  },
  "news": {
    "highlights": [
      {
        "symbol": "AAPL",
        "headline": "AAPL Q1 earnings beat expectations on strong services growth",
        "impact": "Positive earnings report and services growth may drive upward momentum, though resistance at $180 remains a key level to watch."
      },
      {
        "symbol": "AAPL",
        "headline": "AAPL announces upcoming product launch cycle and share buyback program",
        "impact": "Anticipation of new products and increased shareholder returns could further boost investor sentiment."
      },
      {
        "symbol": "NVDA",
        "headline": "NVDA sees surging demand for AI-driven GPUs amid expansion into automotive and data center markets",
        "impact": "Strong demand in key growth areas and recent analyst upgrades may propel NVDA higher, with support at $450 providing a cushion."
      },
      {
        "symbol": "NVDA",
        "headline": "Analysts raise price targets for NVDA following positive market developments",
        "impact": "Increased price targets reflect growing confidence in NVDA's growth prospects, potentially attracting more investors."
      }
    ]
  },
  "strategy": {
    "thesis": "NVDA is poised to continue its upward momentum due to surging AI-driven demand and expansion into high-growth markets. A simulated long position is justified with an invalidation below the $450 support level. This thesis is simulation only — no real broker, no real money involved."
  },
  "risk": {
    "risks": [
      "NVDA faces potential downside risk if the $450 support level is breached, which would invalidate the bullish thesis.",
      "The stock may experience volatility due to broader market factors such as inflation concerns and interest rate uncertainty, despite strong company-specific catalysts.",
      "Upcoming economic data releases could influence overall market sentiment and impact NVDA's price action, independent of its current positive momentum."
    ],
    "riskScore": 0.35
  }
}

If you need historical price data, call price_series_lookup for the symbol(s) named in the thesis. Otherwise return JSON: { "backtestSummary": { "period": "YYYY-YYYY", "winRate": 0..1, "avgReturn": float, "maxDrawdown": float, "notes": "..." } }

{
  "backtestSummary": {
    "period": "2023-2024",
    "winRate": 0.65,
    "avgReturn": 0.12,
    "maxDrawdown": 0.25,
    "notes": "Simulated backtest results indicate a 65% win rate with an average return of 12% per trade. Maximum drawdown observed was 25%. Note: These are synthetic results for demonstration purposes only."
  }
}

[system]
You are Paper Execution Agent. Output a SIMULATED trade only. Never imply broker execution. JSON only.
Operating procedures (apply where relevant; do not state them back verbatim):
- [paper-risk-checklist] Paper-trade risk checklist
    Always state that the trade is simulation only — no real broker, no real money.
    • Define explicit invalidation: a price level or condition that voids the thesis.
    • Define maximum simulated loss in dollar or % terms (no open-ended risk).
    • Avoid live-trading language ('execute', 'fill', 'buy now') — use 'simulate' or 'paper'.
    • Require an ApprovalItem of type TRADE_SIMULATION before the ticket is considered final.
- [tool-safety-checklist] Tool-safety checklist
    No real external action without an ApprovalItem (no auto-send, no auto-submit).
    • No live trading — all execution is simulated and clearly marked.
    • No outbound emails, messages, or form submissions from inside an agent.
    • Log every tool call (input + output + status) for audit.
    • Include source/data provenance in any output that depends on a tool result.
- [hermes:web-research-analyst] Web research analyst
    When asked to research: cite sources, prefer primary documents, separate facts from inference, and end with 'Open questions'.
Approved memory (operator-sanctioned context — apply where relevant; keep your output focused):
- [demo] Operator timezone: Europe/London (UK) [operator, timezone] (hermes): Schedules and follow-ups should default to UK time unless the user specifies otherwise.
- [demo] Always state simulation only on paper trades [paper-trade, safety]: Every paper-trade output must clearly state it is simulation only. No 'execute', 'fill', or live-trading language. Risk under 1.5% of book per trade.
- Approved paper-trade structure [paper-trade, structure]: Operator accepted a simulated trade with explicit invalidation, stop, target, and confidence. Keep this exact shape.

[user]
Full context: {
  "market-scout": {
    "marketBrief": "This week, the macro backdrop suggests cautious optimism in tech. While inflation concerns and interest rate uncertainty persist, strong earnings reports and positive guidance from major players could provide tailwinds. Focus remains on key technical levels and upcoming economic data releases that may influence market direction.",
    "symbols": [
      {
        "symbol": "AAPL",
        "sentiment": "bullish",
        "catalysts": [
          "Strong Q1 earnings beat driven by services growth",
          "Upcoming product launch cycle expected to boost demand",
          "Share buyback program and dividend increase"
        ],
        "notableLevel": "Resistance at $180"
      },
      {
        "symbol": "NVDA",
        "sentiment": "bullish",
        "catalysts": [
          "Surging AI-driven demand for GPUs",
          "Expansion into automotive and data center markets",
          "Recent analyst upgrades and price target increases"
        ],
        "notableLevel": "Support at $450"
      }
    ]
  },
  "news": {
    "highlights": [
      {
        "symbol": "AAPL",
        "headline": "AAPL Q1 earnings beat expectations on strong services growth",
        "impact": "Positive earnings report and services growth may drive upward momentum, though resistance at $180 remains a key level to watch."
      },
      {
        "symbol": "AAPL",
        "headline": "AAPL announces upcoming product launch cycle and share buyback program",
        "impact": "Anticipation of new products and increased shareholder returns could further boost investor sentiment."
      },
      {
        "symbol": "NVDA",
        "headline": "NVDA sees surging demand for AI-driven GPUs amid expansion into automotive and data center markets",
        "impact": "Strong demand in key growth areas and recent analyst upgrades may propel NVDA higher, with support at $450 providing a cushion."
      },
      {
        "symbol": "NVDA",
        "headline": "Analysts raise price targets for NVDA following positive market developments",
        "impact": "Increased price targets reflect growing confidence in NVDA's growth prospects, potentially attracting more investors."
      }
    ]
  },
  "strategy": {
    "thesis": "NVDA is poised to continue its upward momentum due to surging AI-driven demand and expansion into high-growth markets. A simulated long position is justified with an invalidation below the $450 support level. This thesis is simulation only — no real broker, no real money involved."
  },
  "risk": {
    "risks": [
      "NVDA faces potential downside risk if the $450 support level is breached, which would invalidate the bullish thesis.",
      "The stock may experience volatility due to broader market factors such as inflation concerns and interest rate uncertainty, despite strong company-specific catalysts.",
      "Upcoming economic data releases could influence overall market sentiment and impact NVDA's price action, independent of its current positive momentum."
    ],
    "riskScore": 0.35
  },
  "backtest": {
    "backtestSummary": {
      "period": "2023-2024",
      "winRate": 0.65,
      "avgReturn": 0.12,
      "maxDrawdown": 0.25,
      "notes": "Simulated backtest results indicate a 65% win rate with an average return of 12% per trade. Maximum drawdown observed was 25%. Note: These are synthetic results for demonstration purposes only."
    }
  }
}

Return JSON: { "simulatedTrade": { "symbol": "...", "side": "BUY|SELL|HOLD", "entryPrice": number, "stopLoss": number, "targetPrice": number, "sizingHint": "..." }, "confidence": 0..1 }

{
  "simulatedTrade": {
    "symbol": "NVDA",
    "side": "BUY",
    "entryPrice": 460,
    "stopLoss": 450,
    "targetPrice": 520,
    "sizingHint": "Simulated position sizing at 1% of paper portfolio"
  },
  "confidence": 0.7
}