> For the complete documentation index, see [llms.txt](https://cosmos-ai.gitbook.io/cosmosai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://cosmos-ai.gitbook.io/cosmosai/getting-started/publish-your-docs-2.md).

# Expected Outcomes

### Predictive Insights

* Models capable of forecasting market movements using non-traditional, space-related data.
* **Data Cleaning**: Remove inconsistencies, handle missing values, and normalize data for compatibility across different sources.
* **Integration**: Combine NASA datasets with financial market data, such as commodity prices, stock indices, and forex trends, for comprehensive analysis.

### New Correlations

* Identification of previously unrecognized relationships between NASA datasets and financial markets.

### Practical Applications

* Tools for financial analysts, investment firms, and policymakers to enhance decision-making processes.

### Innovation in Forecasting

* Introduction of a groundbreaking methodology that bridges astrophysical research and economic analysis.