Data and Context
Expanding the inputs available to your strategies is a core part of the roadmap:- More model input data — including traditional finance (TradFi) data, on-chain data, and news data fed directly into strategy evaluations.
- More model context — including your full order history, trade history, and strategy history, giving the AI a richer picture of your activity when making decisions.
Strategy Controls and Models
Greater control over strategy behavior and a broader choice of models are coming:- Custom order flags — fine-grained control over how orders are placed within a strategy.
- Event-based triggers — fire evaluations in response to specific market or account events, not just on a timer.
- Temperature and creativity settings — adjust how deterministic or exploratory the AI’s reasoning is on a per-strategy basis.
- Additional models — Claude, DeepSeek, Gemini, Mistral, and a proprietary Everstrike model will join the current GPT lineup.
- Model ensembles — combine multiple models within a single strategy so they vote or cross-check each other’s decisions.
- Learning mode — strategies that adapt their parameters automatically based on live performance data.
Tools and Integrations
New developer and power-user tooling is on the way:- Improved Assistant — backtesting support and a larger context window so you can iterate on complex strategies more efficiently.
- Everstrike CLI — a command-line tool for vibetrading, letting you create and manage strategies from your terminal.
Market Discovery
- Market screener — a real-time screener that scans hundreds of markets simultaneously and surfaces AI-identified trading opportunities.
Follow @everstrike_dex on X and Telegram for rollout updates and feature announcements as these capabilities go live.