Stonkfly turns a virtual fruit-fly nervous system toward crypto trading

Stonkfly is an open-source simulation that points a reconstructed male fruit-fly nervous system at cryptocurrency-market data. It turns public BTC-USDC prices into an RGB candlestick chart, sends the resulting visual signals through the simulated connectome, and produces buy, sell or hold proposals. The project defaults to paper trading with a $100 simulated balance—and profitable learning has not been demonstrated.

A virtual fly brain faces a crypto chart

Stonkfly uses the MaleCNS v1.0 graph, a digital wiring model of a male fruit fly’s nervous system. That distinction matters: this is a structural simulation, not a biological fly, a recording of consciousness or proof that an insect is trading cryptocurrency.

The model’s documented scale is substantial: 166,700 simulated neurons, 25,582,938 directed connections and 124,177,617 synaptic contacts. Those figures describe the graph’s architecture. They do not turn it into a validated full replica of living physiology.

The output is also narrower than the science-fiction version of the idea. A fixed neural readout maps simulated neural activity to three possible proposals: buy, sell or hold. No large language model chooses the trades.

The market arrives as pixels