bguzzo2k/tkrs_timeless_report

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license: apache-2.0
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# Timeless Synthetic Financial Asset Reports

## Dataset Summary
A fully synthetic repository of financial instrument descriptions designed for Transformer-based trading systems. It provides a multi-dimensional conceptual framework for 700+ assets while **strictly eliminating look-ahead bias** by abstracting structural and behavioral characteristics away from specific dates and named historical events.

**Dataset available on Hugging Face:** [bguzzo2k/tkrs_timeless_report](https://huggingface.co/datasets/bguzzo2k/tkrs_timeless_report)

## Key Features
- **Zero Look-Ahead Bias:** Scrubbed of temporal anchors; historical behaviors are translated into abstract dynamics (e.g., "systemic credit crises").
- **Multi-Asset Coverage:** Over 700+ tickers spanning Global Indices, ETFs, Fixed Income, Commodities, FX, S&P 500, and Cryptocurrencies.
- **15 Expert Perspectives:** Every asset is analyzed through 15 specialized "Personas" to ensure high-granularity and diverse embedding subspaces.

## Dataset Structure
The dataset is provided in `Parquet` format with the following columns:

| Column | Description |
| :--- | :--- |
| `ticker` | Financial instrument identifier. |
| `gemini_master` | Foundational structural report (Grounding via `gemini-3.1-pro-preview`). |
| `macroeconomist` | Inflation, interest rates, and monetary policy. |
| `geopolitical_risk_analyst`| Conflicts, trade wars, and sanctions. |
| `supply_chain_logistics` | Raw materials, bottlenecks, and labor markets. |
| `quantitative_factor_analyst`| Beta, volatility regimes, and correlation patterns. |
| `fundamental_value_investor`| Cash flow, capital allocation, and moats. |
| `growth_innovation_strategist`| Secular tech trends and R&D efficiency. |
| `commodity_market_strategist`| Energy, metals, and agricultural price shocks. |
| `regulatory_compliance_officer`| Antitrust, taxation, and subsidies. |
| `fx_sovereign_risk_strategist`| Currency translation and EM sovereign debt. |
| `corporate_credit_risk_analyst`| Capital structure and solvency risks. |
| `consumer_behavioral_economist`| Discretionary vs. staple spending and demographics. |
| `institutional_microstructure` | Liquidity, ownership, and short-squeeze risks. |
| `esg_transition_risk_assessor` | Climate regulations and corporate governance. |
| `dividend_yield_strategist` | Payout sustainability and bond-proxy behavior. |
| `intangible_asset_network_analyst`| Network effects, brand equity, and IP defense. |

## Methodology
1. **Ticker Sourcing:** Based on global liquidity (`config/tickers_list.toml`).
2. **Master Report:** Generated with search grounding and abstractive transformation to remove temporal anchors.
3. **Multidimensional Expansion:** Expanded by 15 specialized personas using `gemini-2.5-flash-lite` to capture idiosyncratic risks and behaviors.

## Usage
Ideal for:
- **Transformer Trading Systems:** Contextual embeddings for asset behavior.
- **LLM Financial Reasoning:** Fine-tuning for macroeconomic shock responses.
- **Factor Modeling:** Augmenting quantitative models with qualitative data.

## Technical Details
- **Models:** `gemini-3.1-pro-preview` (Master), `gemini-2.5-flash-lite` (Personas).
- **Format:** Parquet (Snappy compression).
- **Dimensions:** Ticker + Master + 15 Personas.

## Disclaimer
This dataset is **fully synthetic** and generated by LLMs. It is for research and development purposes only and does not constitute financial advice.