# TRADER AI INVESTOR Trader AI´s Artificial Intelligence is based on the union of three different predictive engines that adapt to different cryptomarket situations. \ \ First we have an AI, based on different neural networks that are retrained and evaluated on a daily basis, in addition, it relies on mathematical algorithms to optimize its predictions. This predictive engine performs optimally when the market is more volatile.\ \ In second place is the Network Bot generated through Machine Learning developments that is based on the constant search for beneficial buy and sell points, analyzing such entries currently for top 200 cryptocurrencies. \ \ Finally, the Alert Function, is a predictor of anomalies in the graphs of each cryptocurrency. It constantly looks for moments when the market behaves in an unusual way to profit from its corrections. The set of these three tools are the ones that will operate in the AI Investor automatically and deciding for itself when it is time to make the investment and when not, in which currency and for how long. --- # 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://trader-ai-whitepaper.gitbook.io/trader-ai-whitepaper-version-1/trader-ai-investor.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.