Fly or human: Who is the better trader?

Meet crypto's newest trader

Software engineer Alex Wormuth has given a simulated fruit fly brain $100 and a job few flies have attempted before: trading Bitcoin. His Stonkfly experiment uses a simulation based on a digital map of a male fruit fly's nervous system to look at BTC/USDC candlestick charts and decide whether to buy, sell or hold.

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The project became possible after researchers mapped the connections between 166,700 neurons in the fly's nervous system. Wormuth used that wiring to build a simulation and connected its visual system to a Bitcoin chart. The fly does not receive price data, market news or technical indicators. It simply sees the chart.

“I gave the fly brain $100 to trade bitcoin,” Wormuth wrote. “Dopamine neurons are stimulated when the fly makes profit.”

This is not the virtual fly's first unusual assignment. Wormuth previously connected the same simulated nervous system to Doom, allowing neural activity to control movement in the game. Apparently, the natural next career after fighting demons was crypto day trading.

How does Stonkfly trade Bitcoin?

Stonkfly turns a 320×180 candlestick chart into visual signals that stimulate thousands of simulated photoreceptors. Activity produced elsewhere in the nervous system is then translated into three possible actions: buy, sell or hold.

The reward system is where things become particularly familiar. If the portfolio gains at least 0.01 USDC, simulated dopamine neurons receive a positive signal. A loss of the same size activates a separate group associated with negative feedback. An experimental learning mechanism then allows some connections in the network to change.

Humans may have more sophisticated terminology for this process, but traders are hardly strangers to getting a dopamine hit when a position turns green. The difference is that the fly has no idea it owns Bitcoin, let alone whether the Federal Reserve is about to move rates or someone on X has declared the beginning of another bull market.

Can it actually make money?

There is one problem with declaring the fly a trading genius: Stonkfly has not yet demonstrated that a simulated insect brain can learn to trade profitably. Wormuth's own documentation explicitly says that “profitable learning has not been demonstrated.”

That distinction matters because changing neural connections is not the same thing as developing trading skill. Any short-term profit could result from market direction or chance, particularly with such a limited trading history. The experiment is also deliberately constrained: the fly cannot use leverage or short Bitcoin, individual purchases are capped at $10 and a $20 drawdown stops it from opening new positions.

Humans aren't exactly setting a high bar

Fortunately for Stonkfly, crypto traders have not exactly set an intimidating benchmark. CoinGecko analyzed 628,326 active wallets trading on Ethereum decentralized exchanges in the 12 months to August 11, 2026 and found that the median win rate had fallen to just 26.29%, down from 52.20% a year earlier and the lowest level in seven years of data. As Crypto Briefing put it, that meant roughly three out of four trades were losing ones.

Humans should have an overwhelming advantage. The human brain has roughly 86 billion neurons compared with Stonkfly's 166,700, and traders can follow economic data, study market trends, calculate indicators and try to understand why Bitcoin is moving. Unfortunately, that same brain can also become afraid, greedy or impatient, chase a rally because everyone else appears to be getting rich or decide that one more trade will recover the previous five losses.

Stonkfly has fewer opportunities to sabotage itself. It cannot revenge trade, suddenly increase leverage because it feels confident or ignore its risk limits. There is one area where the two competitors appear surprisingly well matched, however: dopamine. Both can be rewarded when a trade makes money, although only one is likely to start believing that three profitable trades prove the existence of exceptional trading skills.

So, who wins?

It is far too early to award the trading crown to Stonkfly. Its creator has not demonstrated that the simulated brain can consistently make money, and the experiment was built to explore how biological neural networks respond to feedback, not to create the next great crypto trading strategy.

But the comparison says something interesting about trading itself. Humans bring vastly more intelligence, information and understanding to the market, yet those advantages come with emotions and behavioral mistakes that can undermine them. The fly knows nothing about Bitcoin and has yet to show that it can consistently make money. Considering how many human day traders struggle to prove their own edge, however, the competition may be closer than it first appears.

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