Fly Brain Successfully Made to Engage in Crypto Trading
Researchers have conducted an experiment using a digital connectome (brain map) of a fruit fly, the Drosophila MaleCNS v1.0, containing 166,700 neurons and 25.6 million synaptic connections. In this project, real-time Bitcoin ($BTC) to US Dollar Coin ($USDC) price data from Coinbase was converted into an RGB visual signal. This signal was fed into the fly brain model, with "buy" actions encoded as "sweet" and "sell" as "bitter." A fixed neural reader then translated the brain's activity into trading commands—buy, sell, or hold—which were routed through an intermediary service to place spot orders on Coinbase Advanced.
The experiment ran in a safe, simulated environment with virtual $100, not real money. The programmer noted that real-money trading is technically possible by creating a limited portfolio (max $100 USDC) with restricted API keys. However, the fly's model would be capped at trades of $10 each, with a maximum of 24 trades per day, no leverage, no shorting, and trading halted after a $20 portfolio loss.
The system incorporates a learning mechanism: profitable outcomes stimulate 15 dopamine-like neurons (PAM11), while losses activate two aversive neurons (PPL101), encouraging the model to avoid unprofitable trades. Despite this, the developer acknowledges that the fly brain has not yet demonstrated an ability to trade profitably; synaptic changes do not equate to a successful trading strategy. This remains a research experiment.
In related news, a Solana-based bot recently turned $0.227 USDC into roughly $696,000 in seconds by capitalizing on a sharp price drop of the memecoin ANB.
cryptonews.ru22h ago
