# Roadmap Here is a list of features and improvements which are currently being implemented and rolled out for Everstrike's AI mode: * More model input data (fundamental, technical, price and news data) * More model context (open positions, order history, past trades) * More user control (custom order flags, event-based triggers, model temperature and creativity settings) * Additional models (Claude, Gemini, Mistral, Everstrike) * MCP servers (tools for independent AI agents to connect to and interact with Everstrike) * Improved Assistant (real-time market data access, access to user position data, options trading support, larger context window) * Everstrike CLI (Cursor-like CLI tool for vibetrading through the command line) * Learning mode (adaptively improve strategies based on live performance) * Model ensembles (combine several models for a single strategy) * Market screener (scan hundreds of markets with AI to identify real-time trading opportunities) Follow our [X](https://x.com/evestrike_dex) and [Telegram](https://t.me/evestrike_dex) for updates and feature annoucements. --- # 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://references.everstrike.io/ai/roadmap.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.