Base Models
Build adaptive models with pre-trained market intelligence.
Our base models predict real-time market trends across all asset classes and timeframes
without market-specific training. Pre-trained in simulated environments with synthetic price data, these models avoid overfitting to any specific market or time period.
The models are trained as a unified system where predictions across multiple time horizons work together rather than independently - a fundamental departure from traditional independent models. Their key insight emerges from revealing how market movements propagate across timeframes, revealing interconnected relationships that traditional single-timeframe models cannot detect.
This visualisation shows the model's general reasoning capabilities for 30 Year Treasury Bills, showing trend identification on both daily and weekly timeframes from 2015 to 2025 with no prior market specific training.
This visualisation shows the model's general reasoning capabilities for BTCUSDT, showing trend identification on both 1-hour and 4-hour timeframes from 2020 to 2025 with no prior market specific training.
While these systems have not yet been fine-tuned with real-world market data, users can significantly enhance predictive accuracy through custom multi-time-horizon fine-tuning or by incorporating their own proprietary datasets.