# User Guide - [Quickstart](https://docs.inverse.watch/user-guide/quickstart.md) - [Alerts](https://docs.inverse.watch/user-guide/alerts.md) - [Setting Up an Alert](https://docs.inverse.watch/user-guide/alerts/setting-up-an-alert.md) - [Adding New Alert Destinations](https://docs.inverse.watch/user-guide/alerts/adding-new-alert-destinations.md) - [Customize Alert Template](https://docs.inverse.watch/user-guide/alerts/customize-alert-template.md) - [Multiple Column Alert](https://docs.inverse.watch/user-guide/alerts/multiple-column-alert.md) - [Queries](https://docs.inverse.watch/user-guide/queries.md) - [Creating and Editing Queries](https://docs.inverse.watch/user-guide/queries/creating-and-editing-queries.md) - [Querying Existing Query Results](https://docs.inverse.watch/user-guide/queries/querying-existing-query-results.md) - [Query Parameters](https://docs.inverse.watch/user-guide/queries/query-parameters.md) - [How to Schedule a Query](https://docs.inverse.watch/user-guide/queries/how-to-schedule-a-query.md) - [Favorites & Tagging](https://docs.inverse.watch/user-guide/queries/favorites-and-tagging.md) - [Query Filters](https://docs.inverse.watch/user-guide/queries/query-filters.md) - [How To Download / Export Query Results](https://docs.inverse.watch/user-guide/queries/how-to-download-export-query-results.md) - [Query Snippets](https://docs.inverse.watch/user-guide/queries/query-snippets.md) - [Visualizations](https://docs.inverse.watch/user-guide/visualizations.md) - [Cohort Visualizations](https://docs.inverse.watch/user-guide/visualizations/cohort-visualizations.md) - [Visualizations How-To](https://docs.inverse.watch/user-guide/visualizations/visualizations-how-to.md) - [Chart Visualizations](https://docs.inverse.watch/user-guide/visualizations/chart-visualizations.md) - [Formatting Numbers in Visualizations](https://docs.inverse.watch/user-guide/visualizations/formatting-numbers-in-visualizations.md) - [How to Make a Pivot Table](https://docs.inverse.watch/user-guide/visualizations/how-to-make-a-pivot-table.md) - [Funnel Visualizations](https://docs.inverse.watch/user-guide/visualizations/funnel-visualizations.md) - [Table Visualization Options](https://docs.inverse.watch/user-guide/visualizations/table-visualization-options.md) - [Visualizations Types](https://docs.inverse.watch/user-guide/visualizations/visualizations-types.md) - [Dashboards](https://docs.inverse.watch/user-guide/dashboards.md) - [Creating and Editing Dashboards](https://docs.inverse.watch/user-guide/dashboards/creating-and-editing-dashboards.md) - [Favorites & Tagging](https://docs.inverse.watch/user-guide/dashboards/favorites-and-tagging.md) - [Sharing and Embedding Dashboards](https://docs.inverse.watch/user-guide/dashboards/sharing-and-embedding-dashboards.md) - [Data Sources](https://docs.inverse.watch/user-guide/data-sources.md) - [CSV & Excel Files](https://docs.inverse.watch/user-guide/data-sources/csv-and-excel-files.md) - [Google Sheets](https://docs.inverse.watch/user-guide/data-sources/google-sheets.md) - [JSON (API)](https://docs.inverse.watch/user-guide/data-sources/json-api.md) - [Python](https://docs.inverse.watch/user-guide/data-sources/python.md) - [EVM Chain Logs](https://docs.inverse.watch/user-guide/data-sources/evm-chain-logs.md) - [EVM Chain State](https://docs.inverse.watch/user-guide/data-sources/evm-chain-state.md) - [GraphQL](https://docs.inverse.watch/user-guide/data-sources/graphql.md) - [Dune API](https://docs.inverse.watch/user-guide/data-sources/dune-api.md) - [Machine Learning](https://docs.inverse.watch/user-guide/machine-learning.md) - [Data Engineering](https://docs.inverse.watch/user-guide/machine-learning/data-engineering.md) - [Regressors](https://docs.inverse.watch/user-guide/machine-learning/regressors.md) - [Linear Regression](https://docs.inverse.watch/user-guide/machine-learning/regressors/linear-regression.md) - [Random Forest](https://docs.inverse.watch/user-guide/machine-learning/regressors/random-forest.md) - [Ada Boosting](https://docs.inverse.watch/user-guide/machine-learning/regressors/ada-boosting.md) - [Gradient Boosting](https://docs.inverse.watch/user-guide/machine-learning/regressors/gradient-boosting.md) - [Neural Network (LSTM)](https://docs.inverse.watch/user-guide/machine-learning/regressors/neural-network-lstm.md) - [Training and Predicting](https://docs.inverse.watch/user-guide/machine-learning/training-and-predicting.md) - [Metrics & Overfitting](https://docs.inverse.watch/user-guide/machine-learning/metrics-and-overfitting.md) - [Examples](https://docs.inverse.watch/user-guide/machine-learning/examples.md): The following are step by step tutorials to generate predictions on Inverse Watch using real market data. - [Price Prediction](https://docs.inverse.watch/user-guide/machine-learning/examples/price-prediction.md): This use case shows how to leverage Inverse Watch ML infrastructure to achieve price prediction based on simple Coingecko historical data (price, volume and market capitalization). - [Data Preprocessing](https://docs.inverse.watch/user-guide/machine-learning/examples/price-prediction/data-preprocessing.md) - [Model Creation & Training](https://docs.inverse.watch/user-guide/machine-learning/examples/price-prediction/model-creation-and-training.md) - [Metrics Evaluation](https://docs.inverse.watch/user-guide/machine-learning/examples/price-prediction/metrics-evaluation.md) - [Back Testing](https://docs.inverse.watch/user-guide/machine-learning/examples/price-prediction/back-testing.md) - [Visualizing](https://docs.inverse.watch/user-guide/machine-learning/examples/price-prediction/visualizing.md) - [Liquidation Risk](https://docs.inverse.watch/user-guide/machine-learning/examples/liquidation-risk.md) --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.inverse.watch/user-guide.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.