ZAPFISH_
NEURAL REPLAY0.00 S
CELLS ACTIVE
71721 NEURONS96-CELL ΔF/F RASTERZAPBENCH · ×8
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01 — THE CLAIM

A vertebrate brain launched a memecoin.

71,721 neurons. Whole-brain activity recorded from one real larval zebrafish, replayed through a fixed readout that proposes buy, sell or hold. No language model picks trades. No script pretends to be neurons. A risk guard can say no; it can never say “trade this instead.”

This is Experiment 01 of the ZAPFISH Observatory. The same brain also plays table tennis, rides a bike and walks a dog. The fruit fly was an invertebrate with a wiring diagram. This is a vertebrate with a wiring diagram and a recording of its brain, from the same animal, sensory input to muscle output.

71,721
Neurons recorded
7,879
Whole-brain frames
1
Real zebrafish
$ZAP
The first vertebrate onchain

02 — FLY → FISH

The next brain up.

STONKFLY put a fruit-fly connectome on a trading account. ZAPFISH climbs one rung of the tree of life: from an insect to the first complete vertebrate connectome, with recorded activity to match.

FRUIT FLYZEBRAFISH
LineageInvertebrateVertebrate
WiringBrain + nerve cordBrain, sensory structures and motor outputs
EvidenceConnectome onlyWiring plus recorded activity from the same fish
Neurons166,700~140,000 mapped · 71,721 recorded
ResolutionSingle synapseSingle synapse, sensory input traceable to muscle
StoryStrong scienceStronger evolutionary story

03 — HOW IT WORKS

See. Fire. Trade.

STEP 1

SEE

Public price candles are rendered into a small chart. The model gets the pixels, not the numbers. No indicators, no balances, no P&L on screen.

STEP 2

FIRE

A whole-brain predictive model trained on the ZAPBench recordings of one zebrafish responds to that input, cell by cell. The raster in the hero is real data from that fish.

STEP 3

TRADE

A fixed readout maps activity in a named set of motor-side cells to buy, sell or hold. A guard checks limits and can only reject. Paper mode by default.

BTC-USDC
Public feed · tick 2 · paper
77,303.22
Observed bid
SELL
Proposal · R−L −0.150
VETO
Guard · no inventory

Latest paper observation from the ZAPFISH engine (56,909 of 64,748 plastic edges had moved after two observations). The readout carries a persistent sell-side bias that the guard vetoes for lack of inventory. As STONKFLY warns of its fly: a persistent turning-like bias becomes a persistent order bias. Do not read it as market insight.

Engine: a fork of the open-source STONKFLY loop (market → sensory proxy → neural model → fixed decoder → execution limits), with the fly graph swapped for the fish. Same rules: no pruning, no hidden profit-based action selection, no LLM policy.

04 — WHAT WE CLAIM

Loud about the limits.

WE CLAIM

  • The activity you see is from a real zebrafish: ZAPBench, public release, 71,721 neurons × 7,879 frames. Every row in the hero raster maps to a neuron ID in that dataset.
  • The readout is fixed and readable. Selected cell IDs are logged. Nothing overrides the proposal with a different action.
  • The code is open and the paper-trade run is resumable and auditable.

WE DO NOT CLAIM

  • Control of the complete Fish Fire&Wire connectome. Janelia is still proofreading it; early snapshots are by application. Until access is granted, ZAPFISH runs on the public activity recordings, not the full wiring.
  • Profitable learning. A rising market makes any buyer look smart. No held-out replay has shown an edge.
  • Modeled pain, pleasure or consciousness. Profit and loss are engineered inputs, not feelings.
DATA ZAPBENCH · GOOGLE RESEARCH / JANELIA
WIRING FIRE&WIRE · ACCESS PENDING
CA TBA
X TBA