Source identity
| Field | Recorded value |
|---|---|
| Source type | GitHub source |
| Original record | Janady13/AI_Brain / daemon/datasets/global_stock_markets.json |
| Date | Not specified in source |
| Repository | Janady13/AI_Brain |
| Revision | 11aa50ef5d7692e8abd1b8d74ae31c5c29201b14 |
| Branch | codex/build-online-github-ani-irqa7y |
| Path or archive member | daemon/datasets/global_stock_markets.json |
| Original SHA-256 | 994fb2c388ebba437e12f063da53c7a98767c5a44c03411a78d50a066ef59678 |
| Git blob SHA | 03a0f51a2fa9beac73ca56cec06e70094ac2d5a0 |
| Reading-copy SHA-256 | 994fb2c388ebba437e12f063da53c7a98767c5a44c03411a78d50a066ef59678 |
Every recorded occurrence
These 17 records contain identical original source bytes. Their paths and revisions remain part of the archive.
| Original record | Branch or archive | Revision / identifier | Original location |
|---|---|---|---|
| Janady13/AI_Brain / daemon/datasets/global_stock_markets.json | codex/build-online-github-ani-irqa7y | 11aa50ef5d7692e8abd1b8d74ae31c5c29201b14 | Open original |
| Janady13/AI_Brain / daemon/datasets/global_stock_markets.json | codex/build-online-github-ani-i3cigl | 3a6e002311c48c27ffd41ef4a2a31c63947128cd | Open original |
| Janady13/AI_Brain / daemon/datasets/global_stock_markets.json | codex/build-online-github-ani-hrtsoc | 50285aff347685f043e7a72e4d72891eebaa6cd6 | Open original |
| Janady13/AI_Brain / daemon/datasets/global_stock_markets.json | codex/build-online-github-ani-7v4kug | 5cd0bbf744b0aee9445913337e852889d9a8098e | Open original |
| Janady13/AI_Brain / daemon/datasets/global_stock_markets.json | copilot/convert-python-files-to-csharp | 6d0767aad08781eb5c4e1eb14a42ec92c437be78 | Open original |
| Janady13/AI_Brain / daemon/datasets/global_stock_markets.json | copilot/vscode1760283895982 | 9e1c1a5b171addb5bb4a83b2ea7dede50c1cc81e | Open original |
| Janady13/AI_Brain / daemon/datasets/global_stock_markets.json | feature/seeder-engine-tests | cdb497ece2d1a770ca8c83eb1de8923cfaa9eceb | Open original |
| Janady13/AI_Brain / daemon/datasets/global_stock_markets.json | codex/build-online-github-ani-7nmb21 | d0f50071c85cddaaebbf9c4dd1313bd7676986da | Open original |
| Janady13/AI_Brain / daemon/datasets/global_stock_markets.json | codex/build-online-github-ani-0etkns | e250b19d446bdffd542c9eea31cead12e30800d6 | Open original |
| Janady13/AI_Brain / daemon/datasets/global_stock_markets.json | codex/build-online-github-ani-irqa7y | 11aa50ef5d7692e8abd1b8d74ae31c5c29201b14 | Open original |
| Janady13/AI_Brain / daemon/datasets/global_stock_markets.json | codex/build-online-github-ani-i3cigl | 3a6e002311c48c27ffd41ef4a2a31c63947128cd | Open original |
| Janady13/AI_Brain / daemon/datasets/global_stock_markets.json | copilot/convert-python-files-to-csharp | 6d0767aad08781eb5c4e1eb14a42ec92c437be78 | Open original |
| Janady13/AI_Brain / daemon/datasets/global_stock_markets.json | codex/build-online-github-ani-7v4kug | 5cd0bbf744b0aee9445913337e852889d9a8098e | Open original |
| Janady13/AI_Brain / daemon/datasets/global_stock_markets.json | copilot/vscode1760283895982 | 9e1c1a5b171addb5bb4a83b2ea7dede50c1cc81e | Open original |
| Janady13/AI_Brain / daemon/datasets/global_stock_markets.json | codex/build-online-github-ani-7nmb21 | d0f50071c85cddaaebbf9c4dd1313bd7676986da | Open original |
| Janady13/AI_Brain / daemon/datasets/global_stock_markets.json | feature/seeder-engine-tests | cdb497ece2d1a770ca8c83eb1de8923cfaa9eceb | Open original |
| Janady13/AI_Brain / daemon/datasets/global_stock_markets.json | codex/build-online-github-ani-hrtsoc | 50285aff347685f043e7a72e4d72891eebaa6cd6 | Open original |
Recovered source transcript
Download complete source text ↓163 lines · 4.5 KB
[
{
"symbol": "SPX",
"name": "S&P 500 Index",
"region": "North America",
"sector_focus": "Multi-sector",
"current_price": 5200.45,
"avg_daily_volume": 2400000000,
"market_cap": 41.2,
"pe_ratio": 21.4,
"dividend_yield": 0.015,
"volatility_30d": 0.12,
"momentum_score": 0.38,
"macro_signal": "Soft landing momentum with services resilience",
"marketing_correlation": 0.74,
"crypto_correlation": 0.42
},
{
"symbol": "NDX",
"name": "NASDAQ 100",
"region": "North America",
"sector_focus": "Technology growth",
"current_price": 18125.67,
"avg_daily_volume": 1400000000,
"market_cap": 20.5,
"pe_ratio": 26.8,
"dividend_yield": 0.009,
"volatility_30d": 0.16,
"momentum_score": 0.48,
"macro_signal": "AI infrastructure boom and software expansion",
"marketing_correlation": 0.79,
"crypto_correlation": 0.56
},
{
"symbol": "STOXX50",
"name": "Euro Stoxx 50",
"region": "Europe",
"sector_focus": "Blue chip",
"current_price": 5050.12,
"avg_daily_volume": 620000000,
"market_cap": 4.3,
"pe_ratio": 18.2,
"dividend_yield": 0.024,
"volatility_30d": 0.11,
"momentum_score": 0.31,
"macro_signal": "Manufacturing recovery with ECB easing path",
"marketing_correlation": 0.63,
"crypto_correlation": 0.28
},
{
"symbol": "NIKKEI",
"name": "Nikkei 225",
"region": "Asia Pacific",
"sector_focus": "Export cyclicals",
"current_price": 39540.33,
"avg_daily_volume": 880000000,
"market_cap": 6.8,
"pe_ratio": 18.9,
"dividend_yield": 0.017,
"volatility_30d": 0.19,
"momentum_score": 0.44,
"macro_signal": "Yen weakness supporting exporter earnings",
"marketing_correlation": 0.59,
"crypto_correlation": 0.33
},
{
"symbol": "SSE",
"name": "Shanghai Composite",
"region": "Asia Pacific",
"sector_focus": "Domestic demand",
"current_price": 3255.81,
"avg_daily_volume": 720000000,
"market_cap": 8.9,
"pe_ratio": 14.6,
"dividend_yield": 0.025,
"volatility_30d": 0.21,
"momentum_score": 0.22,
"macro_signal": "Stimulus driven rebound with consumer incentives",
"marketing_correlation": 0.51,
"crypto_correlation": 0.18
},
{
"symbol": "BSE",
"name": "BSE Sensex",
"region": "Asia Pacific",
"sector_focus": "Emerging market growth",
"current_price": 73410.77,
"avg_daily_volume": 450000000,
"market_cap": 3.1,
"pe_ratio": 23.2,
"dividend_yield": 0.013,
"volatility_30d": 0.17,
"momentum_score": 0.41,
"macro_signal": "Domestic consumption and fintech expansion",
"marketing_correlation": 0.68,
"crypto_correlation": 0.26
},
{
"symbol": "ASX",
"name": "S&P/ASX 200",
"region": "Asia Pacific",
"sector_focus": "Commodities and services",
"current_price": 7805.92,
"avg_daily_volume": 350000000,
"market_cap": 1.7,
"pe_ratio": 19.1,
"dividend_yield": 0.039,
"volatility_30d": 0.13,
"momentum_score": 0.29,
"macro_signal": "Commodity resilience and tourism recovery",
"marketing_correlation": 0.58,
"crypto_correlation": 0.22
},
{
"symbol": "BVSP",
"name": "Bovespa",
"region": "Latin America",
"sector_focus": "Energy and agriculture",
"current_price": 128540.18,
"avg_daily_volume": 380000000,
"market_cap": 1.3,
"pe_ratio": 13.8,
"dividend_yield": 0.044,
"volatility_30d": 0.24,
"momentum_score": 0.33,
"macro_signal": "Commodity exports and currency sensitivity",
"marketing_correlation": 0.49,
"crypto_correlation": 0.31
},
{
"symbol": "JSE",
"name": "FTSE/JSE Top 40",
"region": "Africa",
"sector_focus": "Mining and financials",
"current_price": 71025.44,
"avg_daily_volume": 210000000,
"market_cap": 0.9,
"pe_ratio": 15.4,
"dividend_yield": 0.036,
"volatility_30d": 0.22,
"momentum_score": 0.27,
"macro_signal": "Precious metals tailwind with policy uncertainty",
"marketing_correlation": 0.45,
"crypto_correlation": 0.29
},
{
"symbol": "BTC",
"name": "Bitcoin Macro Basket",
"region": "Global",
"sector_focus": "Digital asset liquidity",
"current_price": 68000.0,
"avg_daily_volume": 42000000000,
"market_cap": 1.3,
"pe_ratio": 0.0,
"dividend_yield": 0.0,
"volatility_30d": 0.38,
"momentum_score": 0.52,
"macro_signal": "Institutional ETF inflows and scarcity narrative",
"marketing_correlation": 0.61,
"crypto_correlation": 0.92
}
]