> For the complete documentation index, see [llms.txt](https://gitbook-docs.coinmetrics.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://gitbook-docs.coinmetrics.io/bittensor.md). # BITTENSOR - [Precog Methodology](https://gitbook-docs.coinmetrics.io/bittensor/precog-methodology.md): Below we describe in detail the methodology behind different components of our Precog Subnet. These pages cover the Methodology updated in Subnet Version 2.5.0 - [Point Forecast Evaluation](https://gitbook-docs.coinmetrics.io/bittensor/precog-methodology/point-forecast-evaluation.md): Methodology for Ranking Miners According to Point Forecast performance. - [Interval Forecast Evaluation](https://gitbook-docs.coinmetrics.io/bittensor/precog-methodology/interval-forecast-evaluation.md): Methodology and example images of how the the Interval Forecast is scored - [Interval Score Examples](https://gitbook-docs.coinmetrics.io/bittensor/precog-methodology/interval-score-examples.md): Example Plots to show visually how the interval score calculation behaves in different cases. - [Miner Shares from Ranks](https://gitbook-docs.coinmetrics.io/bittensor/precog-methodology/miner-shares-from-ranks.md): Methodology of how Validators set Miner Weights based on Ranking in Previous Sections - [Final Weight](https://gitbook-docs.coinmetrics.io/bittensor/precog-methodology/final-weight.md): Combining the shares for multiple forecasts and smoothing with an exponential moving average --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## 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, and the optional `goal` query parameter: ``` GET https://gitbook-docs.coinmetrics.io/bittensor.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. 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.