#data/adam_market_baseline.json

{
  "market_baseline": {
    "version": "19.1",
    "version_notes": {
      "19.1": "Initial baseline data structure, focused on modularity and future expansion. Includes synthetic global economic indicators and sample asset class data.",
      "19.2": "Reserved for: Integration of real-time market data feeds, enhanced algorithmic trading simulations, and detailed human trading pattern analysis.",
      "19.3": "Reserved for: Expansion of loan and asset valuation models, incorporation of quantum-inspired trading strategies, and refinement of machine learning data generation."
    },
    "simulation_metadata": {
      "simulation_name": "Adam Market Baseline",
      "creation_date": "2025-03-08T01:45:00Z",
      "description": "Modular baseline market simulation data for Adam, designed for future expansion and integration with real-time data and advanced algorithms.",
      "time_granularity": "daily",
      "time_range": {
        "start_date": "2020-01-01",
        "end_date": "2025-03-08"
      },
      "random_seed": 12345
    },
    "data_modules": {
      "global_economic_indicators": {
        "module_version": "1.0",
        "module_notes": "Initial module, provides synthetic data. Requires integration with real-time data sources for accurate representation of global economic conditions.",
        "gdp_growth": [
          {"date": "2020-01-01", "us": 0.02, "eu": 0.01, "china": 0.06}
        ],
        "inflation_rate": [
          {"date": "2020-01-01", "us": 0.02, "eu": 0.01, "china": 0.03}
        ],
        "interest_rates": {
          "federal_funds_rate": [
            {"date": "2020-01-01", "rate": 0.0175}
          ],
          "treasury_yield_curve": [
            {"date": "2020-01-01", "1M": 0.015, "10Y": 0.028}
          ]
        },
        "market_sentiment": [
          {"date": "2020-01-01", "sentiment_score": 0.8}
        ]
      },
      "asset_classes": {
        "module_version": "1.0",
        "module_notes": "Base data for equities only. Requires extensive population with historical and real-time data for all asset classes.",
        "equities": {
          "stock_indices": {
            "sp500": {
              "historical_prices": [
                {"date": "2020-01-01", "price": 3200}
              ],
              "volatility": [
                {"date": "2020-01-01", "volatility": 0.15}
              ],
              "trading_volume": [
                {"date": "2020-01-01", "volume": 1000000000}
              ]
            }
          }
        },
        "fixed_income": {
          "module_version": "0.1",
          "module_notes": "Placeholder module. Requires population with data for government bonds, corporate bonds, asset-backed securities, and credit default swaps."
        },
        "derivatives": {
          "module_version": "0.1",
          "module_notes": "Placeholder module. Requires population with data for options, futures, and swaps."
        },
        "foreign_exchange": {
          "module_version": "0.1",
          "module_notes": "Placeholder module. Requires population with data for exchange rates and currency volatility."
        },
        "alternative_investments": {
          "module_version": "0.1",
          "module_notes": "Placeholder module. Requires population with data for real estate, commodities, and private equity."
        }
      },
      "trading_strategies": {
        "module_version": "1.0",
        "module_notes": "Basic momentum trading strategy example. Requires expansion with diverse algorithmic strategies and human trading pattern analysis.",
        "algorithmic_trading": [
          {
            "strategy_id": "momentum_1",
            "strategy_type": "momentum",
            "parameters": {
              "lookback_period": 20
            },
            "simulated_trades": [
              {"date": "2020-01-02", "trade": "buy", "asset": "sp500", "price": 3210}
            ]
          }
        ],
        "human_trading_patterns": {
          "module_version": "0.1",
          "module_notes": "Sentiment placeholder. Requires robust analysis of market sentiment and order book data."
        }
      },
      "loan_asset_valuation": {
        "module_version": "0.1",
        "module_notes": "Placeholder module. Requires full implementation of loan portfolio management and asset valuation models.",
        "loan_portfolios": []
      },
      "machine_learning_data": {
        "module_version": "0.1",
        "module_notes": "Placeholder module. Requires feature engineering and data generation for training machine learning models.",
        "training_data": [],
        "feature_definitions": {}
      }
    }
  }
}

{
  "market_baseline": {
    "version": "19.1",
    "version_notes": {
      "19.1": "Initial baseline data structure, focused on modularity and future expansion. Includes synthetic global economic indicators and sample asset class data.",
      "19.2": "Reserved for: Integration of real-time market data feeds, enhanced algorithmic trading simulations, and detailed human trading pattern analysis.",
      "19.3": "Reserved for: Expansion of loan and asset valuation models, incorporation of quantum-inspired trading strategies, and refinement of machine learning data generation."
    },
    "simulation_metadata": {
      "simulation_name": "Adam Market Baseline",
      "creation_date": "2025-03-08T01:45:00Z",
      "description": "Modular baseline market simulation data for Adam, designed for future expansion and integration with real-time data and advanced algorithms.",
      "time_granularity": "daily",
      "time_range": {
        "start_date": "2020-01-01",
        "end_date": "2025-03-08"
      },
      "random_seed": 12345
    },
    "data_modules": {
      "global_economic_indicators": {
        "module_version": "1.0",
        "module_notes": "Initial module, provides synthetic data. Requires integration with real-time data sources for accurate representation of global economic conditions.",
        "gdp_growth": [
          {"date": "2020-01-01", "us": 0.02, "eu": 0.01, "china": 0.06},
          {"date": "2021-01-01", "us": 0.04, "eu": 0.03, "china": 0.08},
          {"date": "2022-01-01", "us": 0.025, "eu": 0.02, "china": 0.05},
          {"date": "2023-01-01", "us": 0.01, "eu": 0.005, "china": 0.04},
          {"date": "2024-01-01", "us": 0.02, "eu": 0.015, "china": 0.045}
        ],
        "inflation_rate": [
          {"date": "2020-01-01", "us": 0.02, "eu": 0.01, "china": 0.03},
          {"date": "2021-01-01", "us": 0.025, "eu": 0.015, "china": 0.028},
          {"date": "2022-01-01", "us": 0.07, "eu": 0.06, "china": 0.02},
          {"date": "2023-01-01", "us": 0.04, "eu": 0.03, "china": 0.01},
          {"date": "2024-01-01", "us": 0.03, "eu": 0.025, "china": 0.015}
        ],
        "interest_rates": {
          "federal_funds_rate": [
            {"date": "2020-01-01", "rate": 0.0175},
            {"date": "2022-03-16", "rate": 0.0050},
            {"date": "2022-12-14", "rate": 0.0450},
            {"date": "2024-07-26", "rate": 0.0550}
          ],
          "treasury_yield_curve": [
            {"date": "2020-01-01", "1M": 0.015, "10Y": 0.028},
            {"date": "2022-01-01", "1M": 0.005, "10Y": 0.032},
            {"date": "2024-01-01", "1M": 0.045, "10Y": 0.06}
          ]
        },
        "market_sentiment": [
          {"date": "2020-01-01", "sentiment_score": 0.8},
          {"date": "2020-03-15", "sentiment_score": 0.3},
          {"date": "2021-01-01", "sentiment_score": 0.9},
          {"date": "2022-01-01", "sentiment_score": 0.6},
          {"date": "2023-01-01", "sentiment_score": 0.7},
          {"date": "2024-01-01", "sentiment_score": 0.75}
        ]
      },
      "asset_classes": {
        "module_version": "1.0",
        "module_notes": "Base data for equities only. Requires extensive population with historical and real-time data for all asset classes.",
        "equities": {
          "stock_indices": {
            "sp500": {
              "historical_prices": [
                {"date": "2020-01-01", "price": 3200},
                {"date": "2020-03-23", "price": 2300},
                {"date": "2021-01-01", "price": 3800},
                {"date": "2022-01-01", "price": 4700},
                {"date": "2023-01-01", "price": 3900},
                {"date": "2024-01-01", "price": 4800}
              ],
              "volatility": [
                {"date": "2020-01-01", "volatility": 0.15},
                {"date": "2020-03-23", "volatility": 0.30},
                {"date": "2021-01-01", "volatility": 0.12},
                {"date": "2022-01-01", "volatility": 0.18},
                {"date": "2023-01-01", "volatility": 0.22},
                {"date": "2024-01-01", "volatility": 0.16}
              ],
              "trading_volume": [
                {"date": "2020-01-01", "volume": 1000000000},
                {"date": "2020-03-23", "volume": 1500000000},
                {"date": "2021-01-01", "volume": 1200000000},
                {"date": "2022-01-01", "volume": 1100000000},
                {"date": "2023-01-01", "volume": 1300000000},
                {"date": "2024-01-01", "volume": 1150000000}
              ]
            }
          }
        },
        "fixed_income": {
          "module_version": "0.1",
          "module_notes": "Placeholder module. Requires population with data for government bonds, corporate bonds, asset-backed securities, and credit default swaps.",
          "government_bonds": [
            {"date": "2020-01-01", "10Y_yield": 0.028, "10Y_price": 100.00},
            {"date": "2022-01-01", "10Y_yield": 0.032, "10Y_price": 98.00},
            {"date": "2024-01-01", "10Y_yield": 0.06, "10Y_price": 90.00}
              ],
              "corporate_bonds": [
                {"date": "2020-01-01", "AAA_yield_spread": 0.005, "AAA_price": 102.00},
                {"date": "2022-01-01", "AAA_yield_spread": 0.007, "AAA_price": 101.00},
                {"date": "2024-01-01", "AAA_yield_spread": 0.01, "AAA_price": 95.00}
              ]
        },
        "derivatives": {
          "module_version": "0.1",
          "module_notes": "Placeholder module. Requires population with data for options, futures, and swaps.",
          "options": [
            {
              "date": "2020-01-01",
              "asset": "sp500",
              "type": "call",
              "strike_price": 3250,
              "expiry_date": "2020-03-31",
              "premium": 100
            },
            {
              "date": "2022-01-01",
              "asset": "sp500",
              "type": "put",
              "strike_price": 4600,
              "expiry_date": "2022-03-31",
              "premium": 150
            }
          ],
          "futures": [
            {
              "date": "2020-01-01",
              "asset": "crude_oil",
              "contract_size": 1000,
              "expiry_date": "2020-03-31",
              "price": 60
            },
             {
              "date": "2024-01-01",
              "asset": "crude_oil",
              "contract_size": 1000,
              "expiry_date": "2024-03-31",
              "price": 80
            }
          ]
        },
        "foreign_exchange": {
          "module_version": "0.1",
          "module_notes": "Placeholder module. Requires population with data for exchange rates and currency volatility.",
          "exchange_rates": [
            {"date": "2020-01-01", "USD_EUR": 0.90, "USD_JPY": 109.00},
            {"date": "2022-01-01", "USD_EUR": 0.88, "USD_JPY": 115.00},
            {"date": "2024-01-01", "USD_EUR": 0.92, "USD_JPY": 145.00}
          ],
          "currency_volatility": [
            {"date": "2020-01-01", "EUR_USD_vol": 0.05, "JPY_USD_vol": 0.06},
            {"date": "2022-01-01", "EUR_USD_vol": 0.07, "JPY_USD_vol": 0.08},
            {"date": "2024-01-01", "EUR_USD_vol": 0.10, "JPY_USD_vol": 0.12}
          ]
        },
        "alternative_investments": {
          "module_version": "0.1",
          "module_notes": "Placeholder module. Requires population with data for real estate, commodities, and private equity.",
          "commodities": [
            {"date": "2020-01-01", "gold_price": 1550, "crude_oil_price": 60},
            {"date": "2022-01-01", "gold_price": 1800, "crude_oil_price": 75},
            {"date": "2024-01-01", "gold_price": 2000, "crude_oil_price": 80}
          ],
          "real_estate": [
            {"date": "2020-01-01", "us_housing_index": 220, "london_commercial_index": 180},
            {"date": "2022-01-01", "us_housing_index": 250, "london_commercial_index": 190},
            {"date": "2024-01-01", "us_housing_index": 240, "london_commercial_index": 185}
          ]
        }
      },
      "trading_strategies": {
        "module_version": "1.0",
        "module_notes": "Basic momentum trading strategy example. Requires expansion with diverse algorithmic strategies and human trading pattern analysis.",
        "algorithmic_trading": [
          {
            "strategy_id": "momentum_1",
            "strategy_type": "momentum",
            "parameters": {
              "lookback_period": 20
            },
            "simulated_trades": [
              {"date": "2020-01-02", "trade": "buy", "asset": "sp500", "price": 3210},
              {"date": "2020-03-24", "trade": "sell", "asset": "sp500", "price": 2400},
              {"date": "2021-01-02", "trade": "buy", "asset": "sp500", "price": 3850},
              {"date": "2022-01-02", "trade": "buy", "asset": "sp500", "price": 4750},
              {"date": "2023-01-02", "trade": "sell", "asset": "sp500", "price": 3950},
              {"date": "2024-01-02", "trade": "buy", "asset": "sp500", "price": 4850}
            ]
          },
          {
            "strategy_id": "mean_reversion_1",
            "strategy_type": "mean_reversion",
            "parameters": {
              "lookback_period": 30,
              "std_dev_threshold": 2
            },
            "simulated_trades": [
                {"date": "2022-04-01", "trade":"buy", "asset": "sp500", "price":4400},
                {"date": "2022-06-01", "trade":"sell", "asset": "sp500", "price":4600}
            ]
          }
        ],
        "human_trading_patterns": {
          "module_version": "0.1",
          "module_notes": "Sentiment placeholder. Requires robust analysis of market sentiment and order book data.",
          "sentiment_analysis": [
            {"date": "2020-03-15", "positive_tweets": 1000, "negative_tweets": 5000},
            {"date": "2021-01-01", "positive_tweets": 8000, "negative_tweets": 1000},
            {"date": "2022-01-01", "positive_tweets": 4000, "negative_tweets": 3000}
          ],
          "order_book_analysis": [
            {"date": "2020-03-23", "buy_orders": 1000000000, "sell_orders": 1500000000},
            {"date": "2021-01-01", "buy_orders": 1200000000, "sell_orders": 1000000000},
            {"date": "2024-01-01", "buy_orders": 1150000000, "sell_orders": 1000000000}
          ]
        }
      },
      "loan_asset_valuation": {
        "module_version": "0.1",
        "module_notes": "Placeholder module. Requires full implementation of loan portfolio management and asset valuation models.",
        "loan_portfolios": []
      },
      "machine_learning_data": {
        "module_version": "0.1",
        "module_notes": "Placeholder module. Requires feature engineering and data generation for training machine learning models.",
        "training_data": [],
        "feature_definitions": {}
      }
    }
  }
}