FlyFUND token0x9d0481e5b0f115bf25b115e8abdacf0ad447d832
FLY FUND I

Fly Fund I

Can a fruit fly outperform the market?

We gave a fly $1 million to manage. Market signals feed a model of its neural circuit, which decides whether to buy, sell or hold each asset.

Follow the portfolio ↓

Fly Fund of Funds

Your fly. Your fund. Your token.

Launch your own fly fund with a Robinhood Chain token and a public track record.
Launch your fly ↗
BuyObserve / holdSell
The living thesis
SamplingWaiting
5m momentum--
20m momentum--
Trend clarity--
OBSERVINGThe next allocation starts with a signal.
Inside the circuit0 SPIKES
Recorded neural activity
1,045 NEURONS
17,224 CONNECTIONS
Approach input0.0 Hz
Avoid input0.0 Hz
Neural score0.0
Waiting for the first shared market observationRecorded inputs · neural activity replay

The fund.

Launch awaiting first prices
Portfolio value$1,000,000.00Starting balance: $1,000,000
Gross P&L$0.000.00% since launch
Capital at work0.0%No trades yet
Fly portfolio
SINCE LAUNCH

Performance begins with the first observed prices. No invented history.

The portfolio.

$1,000,000 cash
AssetPriceAllocationValueP&L

Recent decisions.

0 TRADES
Observing first price changes.

Actual neural readouts and portfolio trades will appear here.

A brain built to forage.
A market full of choices.

Each asset is a different sweet. Momentum, trend and volatility become neural stimuli. The circuit responds; the portfolio records the result.

Model, data & experiment rules +

This is a fly-connectome investment experiment, not a trained financial model or the complete fly brain. The recorded connectivity comes from a MaleCNS locomotor circuit; the market encoding and output decoder are designed for this experiment. Positive outputs do not establish predictive skill.

Thirteen selected assets on Robinhood Chain: ETH (WETH), TSLA, NVDA, S&P 500 (SPY), GOOGL, AAPL, MSFT, AMZN, META, gold (GLD), Treasuries (SGOV), Artificial Inu (AI) and CATGPT. Stock and fund contracts are checked against Robinhood’s official registry. They provide tokenized exposure, not direct ownership of the underlying shares. Stock marks use Robinhood’s reference bid/ask midpoint adjusted for the corporate-action multiplier; they are not DEX execution quotes. Crypto and memecoin marks require recent pool trades from GeckoTerminal and minimum pool liquidity. Unavailable or stale feeds pause the affected asset. Native Zcash (ZEC) is also included, using recent Kraken ZEC/USD spot trades. ZEC is not a Robinhood Chain token. Its signal history starts when added; previous returns and holdings are preserved. This is a selected universe, not a market-cap ranking.

The shared ledger starts with $1 million in hypothetical cash. A background workflow scans every five minutes, even with no visitors. Viewing the site can refresh observations between scans, at most once per minute. Orders require fresh, advancing quotes and enough observations. Gaps longer than ten minutes restart signal collection; missing orders are never invented. Slippage is estimated; liquidity, market impact, taxes and token corporate actions are not modeled. The chart includes cash and marks positions at the latest available token prices.

Five- and twenty-minute momentum, distance from a moving trend, volatility and trend clarity become graded approach and avoidance stimuli. These are engineered price inputs, not chart-image recognition or a trained visual system. Smaller moves produce weaker input instead of being discarded. Sudden jumps are dampened and cannot trigger new buys. The fixed readout is buy-motor Hz minus three times sell-motor Hz. Scores of at least 5 qualify for buying; scores of at most −3 qualify for selling. New buys also require positive input direction. Buy signals must persist for at least three minutes across distinct source observations. The strategy waits one hour between trades in an asset and at least fifteen minutes between buys across the fund. Normal sells require two matching neural responses. A 2.5% fall from an observed position peak stimulates protective avoidance, which can bypass the normal exit delay if neurons produce a sell signal. New buys pause at an 8% portfolio drawdown. These controls do not guarantee a stop price; gaps can prevent trading. No real funds are held or traded.

This is a fresh launch run starting with $1,000,000 in simulated capital, not real deposited funds. Its timestamp and performance begin at launch. Strategy updates preserve the original trades and performance history. The move from Solana to Robinhood Chain occurs while the portfolio is in cash; prior results remain and new markets collect fresh observations. Stock-reference trading pauses on weekends. If the strategy demonstrates sustained profitability, we may launch a real-token deposit vault. AutoFly mode would manage deposited funds, with a share of profits used for token buybacks: a flywheel powered by the fly.

Do your own research before buying the token. Fly Fund I is an experiment that may take off, but the token can lose all its value. Future vaults, buybacks and other uses are possibilities, not promises. Understand both the opportunity and the risk.

The observation display runs the same neural circuit separately from trading. Smooth random variation around a 12 Hz approach-and-avoidance baseline keeps each observer pass different, with valid market features added when available. This variation is generated for the display, not inferred from the market. These display-only inputs never place orders or change trading scores. Sparks are actual spikes from this observer model, slowed for visibility. Amber means observation or hold; green and red identify recorded buys and sells during replay. The colored regions inside the illustrated fly are visual accents driven by aggregate activity, not a mapped full brain. Background anatomical dots are context, not additional simulated neurons.