Bastion's 72B Agent
- Bastion unveiled an AI trading agent built on a 72‑billion‑parameter model aimed at Solana flows. - The team claims the model analyses whale flows, liquidations, and macro data for execution signals. - Large models focused on order‑flow and liquidation detection suggest rising automated execution competition and latency sensitivity on Solana venues (x.com).
Bastion is pitching an artificial-intelligence trading agent for crypto markets, built around a 72 billion-parameter model that targets Solana-linked flows. (bastionfi.tech) The company’s developer docs say the system scans more than 560 live signals, including whale activity, liquidations, funding rates, order flow and market structure, then returns a trading action with reasoning. Bastion’s GitHub repo says the agent is exposed through a Model Context Protocol server with 49 specialized tools for market data, risk evaluation and trade execution. (bastionfi.tech) (github.com) Bastion says the setup is cloud-hosted, works through Claude integrations, and can answer prompts such as whether to hold, reduce or exit a Bitcoin, Ether or Solana position. The same docs list sub-3-second latency for responses and a claimed 75.4% accuracy figure. (bastionfi.tech) In crypto trading, “order flow” means the stream of buy and sell pressure hitting the market, and “liquidations” are forced closes when leveraged bets run out of margin. Bastion is packaging both into a model that tries to turn raw market noise into execution signals. (github.com) (bastionfi.tech) Solana is the obvious venue for that pitch because the chain is built for speed: its scheduled slot duration is about 400 milliseconds, and recent ecosystem reporting has pointed to block production near that target. Solana’s own February 2026 ecosystem report also said SOL-denominated total value locked had reached an all-time high above 80 million SOL. (solana.com) (blog.syndica.io) (solana.com) That combination has pushed trading firms and infrastructure teams toward faster automation on Solana venues, where small delays can change fill prices or leave orders behind the market. Bastion’s materials describe the product less as a chatbot and more as a machine for risk scoring, signal aggregation and trade management. (bastionfi.tech) (github.com) The company’s own materials are not fully consistent on the core model. Its docs and one GitHub repository describe a fine-tuned 72B model, while its current features page describes a 32B model called bastion-32b running on a four-graphics-processing-unit cluster of RTX 5090 cards. (bastionfi.tech) (github.com) (bastionfi.tech) That leaves a familiar question in crypto infrastructure: whether the edge comes from a larger model, better data, or faster pipes to the exchange. Bastion’s launch argues that all three are now being sold together. (bastionfi.tech 1) (bastionfi.tech 2)
