# MyTrade AI Intro ## **Background** MyTrade AI is incubated by MyTrade Labs in 2023, using artificial intelligence and big data tools to assist MyTrade’s quantitative trading (MyTrade Quant). MyTrade has conducted quantitative trading activities prior to MyTrade was born, with the help of MyTrade AI, MyTrade Quant elevated to a new level of APR and 20x higher capital efficiency. In the bull run of 2024, we decided to open a portion of the MyTrade AI tools to retail traders with links below. Currently, MyTrade AI is monitoring the orderbook of every asset on OKX and Binance! ## Services and Fees: We serve whale traders with minimum $100k in asset, we do not manage your asset, but we can assist you 1 on 1 with tips and advice on any assets you trade in tier1 CEXs based on our technical indicators. eg. One of the advices that we gave to our clients in January 2025 is to liquidate all BTC when approaching 110k, between 105k-110k is a good liquidation region, those who are comfortable with futures can also open 1-3x short in this region as well to prep for the upcoming bear market entry around mid 2025. We provide guidance for our clients on spot trading and futures trading within 10x leverage. Our 1 on 1 advisory fee is either $2,000 per month or $20,000 per year. We have multiple tools that we use internally to monitor all assets in tier1 CEX such as: 1. [https://AI.MyTrade.org](https://ai.mytrade.org/) to sort assets with potential for long or short 2. to monitor assets with large buy or sell orders on the orderbook 3. Other proprietary tools for internal usage such as direction analysis and depth of BTC in real time. --- # 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.ai.mytrade.org/mytrade-ai-intro.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.