AI-Driven Context

Our proprietary AI engine transforms raw data into actionable insights:

• Trend Analysis: Identification of trending pools with growth potential

• Impermanent Loss Prediction: Warning system for potential IL scenarios when closing positions.

• New Pool Discovery(Coming Soon): Suggestions for emerging opportunities based on proprietary data analysis.

• Ongoing Position Inference: Our model latently analyses your open positions, accounting for your range, strategy shape, size and PnL for tailored analytics on your specific strategy.

• Strategy Analysis: Analyze multiple strategies before entering positions, deepening conviction with our inference layer.

Our inference engine operates like a multi-dimensional decision factory, ingesting dozens of key market parameters such as ratios, volumes, volatility metrics, dynamic fees, and more, assigning each a relevance-weighted score. From the buy/sell and unique-trader ratios that gauge market sentiment, to the volume-to-TVL and fee-to-TVL metrics that reveal capital efficiency, every datapoint is continuously queried against real-time on-chain feeds.

At its core, the system’s parameter engine continuously recalibrates weight factors, ensuring that sudden shifts, like a spike in trading volume or an unexpected volatility burst instantly reprioritize the model’s focus. By streaming live price data directly from on-chain events, the model maintains a latent view of the market state, producing insights that reflect the pool's ever-changing state. This live-data refresh is the backbone of its predictive acuity: impermanent-loss warning signals, and liquidity-improvement recommendations, all stem from this always-on data pipeline.

Powering our premium model, we'll harness a robust computing stack: a 96 GB NVIDIA GPU rig, quantized weights at Q8 precision, and an INT8 KV cache that carves out 78 GB for model activations—yielding an 81 % VRAM utilization sweet spot. The result is blistering performance (≈75 tok/sec total throughput, ~13 ms/token latency) even across 16 simultaneous users, all underpinned by Nosana’s distributed GPU network. In practical terms, this means every user can launch the heaviest Llama 3.3 70B model on demand, unlocking institutional-grade analysis without the hardware burden.

The model’s intelligence spans the full trade lifecycle: from pre-trade scouting, identifying outlier pools with under-optimized fee structures, to post-trade optimization, suggesting rebalancing ranges or harvesting profits at peak volatility. Its reach extends beyond a single pool, orchestrating cross-pool aggregation strategies that blend concentrated liquidity across multiple venues. Whether you’re a high-frequency market maker or a strategic liquidity provider, the engine’s real-time, parameter-rich view offers a 360° market perspective.

In sum, this is more than a “model.” It’s a living, self-tuning market intelligence hub, driven by relevance-weighted parameters, sustained by perpetual data refreshes, and super-charged by enterprise-grade GPUs. Every inference is a bespoke analysis, calibrated for precision and delivered when you need it most.