> For the complete documentation index, see [llms.txt](https://insilico-research.gitbook.io/insilico-research/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://insilico-research.gitbook.io/insilico-research/cold.md). # Cold 𝕃𝔼𝔾𝕆
[Cold 𝕃𝔼𝔾𝕆](https://www.tradingview.com/script/dsJ8sC1V-Cold-%F0%9D%95%83%F0%9D%94%BC%F0%9D%94%BE%F0%9D%95%86/) is a powerful Moving Averages (MA) indicator developed by Insilico Research that brings together multiple moving averages on a single chart. MAs have different time period, short term and long-term, when plotted together they create a ribbon-like structure right on your chart. ### Optional Next Candle Forecaster for Cold 𝕃𝔼𝔾𝕆 This is a feature within the script that attempts to predict/forecast the direction of the next candle (ex: whether it will be bullish or bearish) based on the moving average. Cold Lego smooths out price data to to identify trends more clearly. Signals given by the indicator will provide you with suggestions on whether to consider buying or selling an asset based on the forecasted direction of the next candle. ### Colouring Experimentation Cold Lego allows you to experiment with different settings or variations of the MA and visualise them through colour changes on the chart. Colouring experimentation helps you visually identify key points or trends in the data. This feature allows your to change the colour of the MA line based on certain conditions or criteria. Ex: the MA line changes colour when it crosses above or below a certain threshold, or changes colour to indicate overbought or oversold conditions --- # 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://insilico-research.gitbook.io/insilico-research/cold.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.