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(Coming Soon): Warning system for potential IL scenarios when closing positions.

• New Pool Discovery: Suggestions for emerging opportunities based on proprietary data analysis

• True PnL Calculation(Coming Soon): Comprehensive profit measurement including impermanent loss factors

• Multi-Pool Arbitrage Strategies: Educational content and tools for balanced LP approaches

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're harnessing 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—at just 0.1 SOL per inference—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.