🧠 Metacognitive AI

Autonomous Agents • Confidence Scoring • Reflection Loops • Regime Detection

7 Signal Agents + Meta Layer Real-time Analysis 7 Strategies

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🧠 Meta Analysis: AAPL sell
Signal
sell
Confidence
54.7%
Regime
sideways
🤖 ML Forecast Status hold
Agent: ml_forecast_main
Confidence: 32.4%
Status: Trained ML stack selected ENSEMBLE. Directional forecast: neutral. Expected 5-day move: 0.04%. Probability view: 50.5% up / 49.5% down (balanced). ML stays in informational mode because the selector edge is modest at the 5-day horizon. Why it matters: Model edge is very small, so ML stays informational rather than actionable. Probability tilt is 50.5% up vs 49.5% down. Expected move is extremely small over the forecast horizon in a sideways consolidation regime with range-bound movement and low trend conviction.

Agent Consensus

Showing all signal agents, including ML Forecast and Risk Manager.
AgentRoleSignalConfidence
researcher_main
Mixed signals from research
researcher hold 48.5%
trader_momentum
Momentum strategy: Bearish signals from MACD
trader sell 49.8%
trader_reversion
Mean Reversion strategy: Neutral market conditions
trader hold 49.8%
trader_breakout
Breakout strategy: Neutral market conditions
trader hold 49.8%
trader_trend
Trend Following strategy: Neutral market conditions
trader hold 49.8%
ml_forecast_main
Trained ML stack selected ENSEMBLE. Directional forecast: neutral. Expected 5-day move: 0.04%. Probability view: 50.5% up / 49.5% down (balanced). ML stays in informational mode because the selector edge is modest at the 5-day horizon. Why it matters: Model edge is very small, so ML stays informational rather than actionable. Probability tilt is 50.5% up vs 49.5% down. Expected move is extremely small over the forecast horizon in a sideways consolidation regime with range-bound movement and low trend conviction. | Model: ensemble | 5D move: 0.04%
executor hold 32.4%
risk_manager_main
Moderate risk: moderate volatility
risk_manager hold 64.0%
View Raw Data
{
  "symbol": "AAPL",
  "timestamp": "2026-06-09T03:46:43.594981",
  "execution_time_ms": 1724.45,
  "regime": "sideways",
  "asset_category": "Stocks",
  "ml_suppressed": false,
  "ml_suppression_reason": "",
  "final_signal": {
    "symbol": "AAPL",
    "signal_type": "sell",
    "confidence_level": "medium",
    "confidence_score": 54.74399082783267,
    "agent_consensus": {
      "researcher_main": "hold",
      "trader_momentum": "sell",
      "trader_reversion": "hold",
      "trader_breakout": "hold",
      "trader_trend": "hold",
      "ml_forecast_main": "hold",
      "risk_manager_main": "hold"
    },
    "risk_assessment": {
      "volatility_risk": 19.056762149431524,
      "regime_risk": "sideways",
      "confidence_adjusted": false,
      "position_size_factor": 0.2002,
      "capital_allocator": {
        "base_position": 0.5474,
        "regime_multiplier": 0.75,
        "disagreement_multiplier": 1.0,
        "conviction_multiplier": 0.65,
        "event_multiplier": 0.75,
        "volatility_multiplier": 1.0,
        "final_allocation": 0.2002,
        "conviction_used": "WEAK SELL",
        "action_mode": "lean_short",
        "asset_category": "Stocks",
        "asset_multiplier": 1.0
      }
    },
    "regime": "sideways",
    "reflection_notes": [],
    "timestamp": "2026-06-09T03:46:43.594669",
    "expires_at": "2026-06-10T03:46:43.594655",
    "conviction": "WEAK SELL"
  },
  "meta_analysis": {
    "consensus": "sell",
    "confidence_level": "medium",
    "confidence_score": 54.74399082783267,
    "disagreement": 0.1428571428571429,
    "agent_breakdown": {
      "researcher_main": {
        "role": "researcher",
        "signal": "hold",
        "confidence": 48.504557764589826,
        "reasoning": "Mixed signals from research",
        "weak_bias": null,
        "directional_probability": null,
        "why_it_matters": null
      },
      "trader_momentum": {
        "role": "trader",
        "signal": "sell",
        "confidence": 49.75,
        "reasoning": "Momentum strategy: Bearish signals from MACD",
        "weak_bias": null,
        "directional_probability": null,
        "why_it_matters": null
      },
      "trader_reversion": {
        "role": "trader",
        "signal": "hold",
        "confidence": 49.75,
        "reasoning": "Mean Reversion strategy: Neutral market conditions",
        "weak_bias": null,
        "directional_probability": null,
        "why_it_matters": null
      },
      "trader_breakout": {
        "role": "trader",
        "signal": "hold",
        "confidence": 49.75,
        "reasoning": "Breakout strategy: Neutral market conditions",
        "weak_bias": null,
        "directional_probability": null,
        "why_it_matters": null
      },
      "trader_trend": {
        "role": "trader",
        "signal": "hold",
        "confidence": 49.75,
        "reasoning": "Trend Following strategy: Neutral market conditions",
        "weak_bias": null,
        "directional_probability": null,
        "why_it_matters": null
      },
      "ml_forecast_main": {
        "role": "executor",
        "signal": "hold",
        "confidence": 32.4,
        "reasoning": "Trained ML stack selected ENSEMBLE. Directional forecast: neutral. Expected 5-day move: 0.04%. Probability view: 50.5% up / 49.5% down (balanced). ML stays in informational mode because the selector edge is modest at the 5-day horizon. Why it matters: Model edge is very small, so ML stays informational rather than actionable. Probability tilt is 50.5% up vs 49.5% down. Expected move is extremely small over the forecast horizon in a sideways consolidation regime with range-bound movement and low trend conviction.",
        "weak_bias": "neutral",
        "directional_probability": {
          "up_pct": 50.46,
          "down_pct": 49.54,
          "band": "balanced"
        },
        "why_it_matters": "Model edge is very small, so ML stays informational rather than actionable. Probability tilt is 50.5% up vs 49.5% down. Expected move is extremely small over the forecast horizon in a sideways consolidation regime with range-bound movement and low trend conviction."
      },
      "risk_manager_main": {
        "role": "risk_manager",
        "signal": "hold",
        "confidence": 63.99999999999999,
        "reasoning": "Moderate risk: moderate volatility",
        "weak_bias": null,
        "directional_probability": null,
        "why_it_matters": null
      }
    },
    "signal_counts": {
      "hold": 6,
      "sell": 1
    },
    "weak_bias_summary": {
      "overall_bias": "slight_bearish",
      "ml_weight": 0.324,
      "dominant_agents": [
        "risk_manager_main"
      ],
      "confidence_adjusted_bias": "neutral_to_bearish",
      "agent_biases": {}
    },
    "meta_probability": {
      "bullish": 0.0,
      "neutral": 0.771,
      "bearish": 0.229
    },
    "weighted_meta_components": {
      "bullish_weight": 0.0,
      "neutral_weight": 0.7706,
      "bearish_weight": 0.2294,
      "total_bias_weight": 1.0
    },
    "action_guidance": {
      "mode": "lean_short",
      "trigger": "break below support (246.40) OR negative event follow-through",
      "risk_note": "moderate risk; RSI 54.0; trend context: downtrend_momentum"
    },
    "conviction": "WEAK SELL",
    "portfolio_overlay": {
      "mode": "standalone",
      "related_symbols": [],
      "impact_scope": "single_symbol"
    },
    "event_overlay": {
      "significant_news": false,
      "news_volume": 5,
      "event_bias": "neutral",
      "trigger": null,
      "override_applied": false
    }
  },
  "agent_signals": [
    {
      "agent_id": "researcher_main",
      "agent_role": "researcher",
      "symbol": "AAPL",
      "signal_type": "hold",
      "confidence": 48.504557764589826,
      "reasoning": "Mixed signals from research",
      "timestamp": "2026-06-09T03:46:42.602948",
      "metadata": {
        "sentiment": 0.1252278882294915,
        "news_volume": 5,
        "pe_ratio": 37.16,
        "pb_ratio": 42.39,
        "eps": 8.27,
        "global_regime": "sideways",
        "detected_regime": "sideways"
      }
    },
    {
      "agent_id": "trader_momentum",
      "agent_role": "trader",
      "symbol": "AAPL",
      "signal_type": "sell",
      "confidence": 49.75,
      "reasoning": "Momentum strategy: Bearish signals from MACD",
      "timestamp": "2026-06-09T03:46:42.635279",
      "metadata": {
        "price": 301.5400085449219,
        "sma_20": 304.6645004272461,
        "sma_50": 282.0628060913086,
        "sma_200": 265.1447805786133,
        "ema_12": 306.54385242695975,
        "ema_26": 299.1338714558423,
        "macd": 7.40998097111742,
        "macd_signal": 9.042062202575162,
        "macd_hist": -1.6320812314577413,
        "rsi_14": 53.992236932916775,
        "bb_upper": 317.7313455372638,
        "bb_middle": 304.6645004272461,
        "bb_lower": 291.5976553172284,
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        "bb_position": 0.38044199437518345,
        "atr_14": 6.475003923688616,
        "volume_ratio": 1.5849288732469038,
        "obv": 1447208295.0,
        "support_60d": 246.40298461914062,
        "resistance_60d": 315.20001220703125,
        "adx": 8.352428614960655,
        "volatility_20d": 19.056762149431524,
        "volatility_60d": 22.3679747431227,
        "crossovers": {
          "golden_cross": "False",
          "death_cross": "False",
          "price_above_50": "True",
          "price_above_200": "True",
          "macd_bullish": "False",
          "macd_bearish": "False"
        },
        "trend": "downtrend_momentum",
        "global_regime": "sideways",
        "detected_regime": "sideways"
      }
    },
    {
      "agent_id": "trader_reversion",
      "agent_role": "trader",
      "symbol": "AAPL",
      "signal_type": "hold",
      "confidence": 49.75,
      "reasoning": "Mean Reversion strategy: Neutral market conditions",
      "timestamp": "2026-06-09T03:46:42.677017",
      "metadata": {
        "price": 301.5400085449219,
        "sma_20": 304.6645004272461,
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        "macd_signal": 9.042062202575162,
        "macd_hist": -1.6320812314577413,
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        "bb_position": 0.38044199437518345,
        "atr_14": 6.475003923688616,
        "volume_ratio": 1.5849288732469038,
        "obv": 1447208295.0,
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        "resistance_60d": 315.20001220703125,
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        "volatility_20d": 19.056762149431524,
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        "crossovers": {
          "golden_cross": "False",
          "death_cross": "False",
          "price_above_50": "True",
          "price_above_200": "True",
          "macd_bullish": "False",
          "macd_bearish": "False"
        },
        "trend": "downtrend_momentum",
        "global_regime": "sideways",
        "detected_regime": "sideways"
      }
    },
    {
      "agent_id": "trader_breakout",
      "agent_role": "trader",
      "symbol": "AAPL",
      "signal_type": "hold",
      "confidence": 49.75,
      "reasoning": "Breakout strategy: Neutral market conditions",
      "timestamp": "2026-06-09T03:46:42.708254",
      "metadata": {
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        "sma_20": 304.6645004272461,
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        "sma_200": 265.1447805786133,
        "ema_12": 306.54385242695975,
        "ema_26": 299.1338714558423,
        "macd": 7.40998097111742,
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        "macd_hist": -1.6320812314577413,
        "rsi_14": 53.992236932916775,
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        "bb_middle": 304.6645004272461,
        "bb_lower": 291.5976553172284,
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        "resistance_60d": 315.20001220703125,
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        "volatility_20d": 19.056762149431524,
        "volatility_60d": 22.3679747431227,
        "crossovers": {
          "golden_cross": "False",
          "death_cross": "False",
          "price_above_50": "True",
          "price_above_200": "True",
          "macd_bullish": "False",
          "macd_bearish": "False"
        },
        "trend": "downtrend_momentum",
        "global_regime": "sideways",
        "detected_regime": "sideways"
      }
    },
    {
      "agent_id": "trader_trend",
      "agent_role": "trader",
      "symbol": "AAPL",
      "signal_type": "hold",
      "confidence": 49.75,
      "reasoning": "Trend Following strategy: Neutral market conditions",
      "timestamp": "2026-06-09T03:46:42.752710",
      "metadata": {
        "price": 301.5400085449219,
        "sma_20": 304.6645004272461,
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        "rsi_14": 53.992236932916775,
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        "bb_lower": 291.5976553172284,
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        "bb_position": 0.38044199437518345,
        "atr_14": 6.475003923688616,
        "volume_ratio": 1.5849288732469038,
        "obv": 1447208295.0,
        "support_60d": 246.40298461914062,
        "resistance_60d": 315.20001220703125,
        "adx": 8.352428614960655,
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        "volatility_60d": 22.3679747431227,
        "crossovers": {
          "golden_cross": "False",
          "death_cross": "False",
          "price_above_50": "True",
          "price_above_200": "True",
          "macd_bullish": "False",
          "macd_bearish": "False"
        },
        "trend": "downtrend_momentum",
        "global_regime": "sideways",
        "detected_regime": "sideways"
      }
    },
    {
      "agent_id": "ml_forecast_main",
      "agent_role": "executor",
      "symbol": "AAPL",
      "signal_type": "hold",
      "confidence": 32.4,
      "reasoning": "Trained ML stack selected ENSEMBLE. Directional forecast: neutral. Expected 5-day move: 0.04%. Probability view: 50.5% up / 49.5% down (balanced). ML stays in informational mode because the selector edge is modest at the 5-day horizon. Why it matters: Model edge is very small, so ML stays informational rather than actionable. Probability tilt is 50.5% up vs 49.5% down. Expected move is extremely small over the forecast horizon in a sideways consolidation regime with range-bound movement and low trend conviction.",
      "timestamp": "2026-06-09T03:46:43.487027",
      "metadata": {
        "source": "trained_ml",
        "global_regime": "sideways",
        "detected_regime": "sideways",
        "market_regime": "sideways",
        "coverage_snapshot": {
          "symbol": "AAPL",
          "roots": [
            "/home/forpy/public_html/python_app/modules/ml/ml_models",
            "/home/forpy/public_html/python_app/modules/ml/ml_models/research"
          ],
          "method_counts": {
            "rf": 15,
            "xgb": 15,
            "lightgbm": 15
          },
          "latest_artifacts": {
            "rf": "/home/forpy/public_html/python_app/modules/ml/ml_models/research/AAPL_rf_5d_20260430.pkl",
            "xgb": "/home/forpy/public_html/python_app/modules/ml/ml_models/research/AAPL_xgb_5d_20260430.pkl",
            "lightgbm": "/home/forpy/public_html/python_app/modules/ml/ml_models/research/AAPL_lightgbm_5d_20260430.pkl"
          },
          "total_matches": 45,
          "has_any": true
        },
        "selected_model": "ensemble",
        "selection_source": "ensemble_regime",
        "expected_move_pct": 0.04,
        "direction": "neutral",
        "score": 46.6,
        "selector_score": 46.5969,
        "derived_score": 0.37,
        "institutional_ml_score": 33.85,
        "used_live_model_fallback": false,
        "directional_probability": {
          "up_pct": 50.46,
          "down_pct": 49.54,
          "band": "balanced"
        },
        "weak_bias": "neutral",
        "quality_gate": {
          "passed": false,
          "reason": "neutral_micro_move",
          "selection_source": "ensemble_regime",
          "expected_move_pct": 0.04,
          "confidence_before_gate": 32.4,
          "confidence_after_gate": 32.4,
          "score_before_gate": 46.5969,
          "applied_as_soft_cap": true,
          "probability_band": "balanced",
          "weak_bias": "neutral",
          "global_regime": "sideways"
        },
        "action_layer": {
          "applied": false,
          "reason": null,
          "prob_up_pct": 50.46,
          "weak_bias": "neutral",
          "selector_score": 46.5969,
          "score_used": 46.5969,
          "institutional_ml_score": 33.85,
          "expected_move_pct": 0.04,
          "regime": "sideways"
        },
        "weak_bias_signal": "hold",
        "why_it_matters": "Model edge is very small, so ML stays informational rather than actionable. Probability tilt is 50.5% up vs 49.5% down. Expected move is extremely small over the forecast horizon in a sideways consolidation regime with range-bound movement and low trend conviction."
      }
    },
    {
      "agent_id": "risk_manager_main",
      "agent_role": "risk_manager",
      "symbol": "AAPL",
      "signal_type": "hold",
      "confidence": 63.99999999999999,
      "reasoning": "Moderate risk: moderate volatility",
      "timestamp": "2026-06-09T03:46:43.568770",
      "metadata": {
        "regime": "sideways",
        "volatility": 19.056762149431524,
        "risk_level": "moderate",
        "current_drawdown": -4.333757339177113,
        "max_drawdown_1y": -13.798524071888174,
        "risk_action": "NEUTRAL",
        "global_regime": "sideways",
        "detected_regime": "sideways"
      }
    }
  ],
  "reflection_notes": [],
  "drift_analysis": {
    "drift_detected": false,
    "drift_score": 0,
    "regime_changes_30d": 0,
    "current_regime": "sideways",
    "recommendation": "Models performing as expected"
  },
  "technical_summary": {
    "price": 301.5400085449219,
    "rsi": 53.992236932916775,
    "trend": "downtrend_momentum",
    "volatility": 19.056762149431524,
    "support": 246.40298461914062,
    "resistance": 315.20001220703125
  }
}
📄 PDF Report 📊 Excel Report 🔧 JSON Data
🤖 Active Agent Architecture

Research & Analysis

  • • Researcher Agent - Fundamentals & Sentiment
  • • Trader (Momentum) - Technical Momentum
  • • Trader (Mean Reversion) - Oversold/Overbought
  • • Trader (Breakout) - Price Breakouts
  • • ML Forecast Agent - Trained Model Inference

Risk & Meta

  • • Trader (Trend Following) - Trend Analysis
  • • Risk Manager - Volatility & Drawdown
  • • Meta Analyst - Consensus & Confidence