Whale-event RL
Mirrors the wallets that actually print — only when the model's edge clears the gate.
Morpheus puts prediction markets, perpetuals, and autonomous AI strategies behind one self-custodial wallet. Trade the world's markets — or let the machine do it.


01 Prediction markets
Trade BTC up/down across Polymarket and Kalshi with a quant's dashboard: cross-venue correlation, real-time order-flow, and microstructure pressure — so you see the move before the candle prints.

02 The wallet
Your whole book in one place — PANDA, USDC, BTC, ETH and SOL, plus live Hyperliquid and Polymarket balances rolled into a single net-worth line. A Coinbase-clean home screen, with keys that never leave your phone.
03 Eyewear
◆ World firstMorpheus is the first crypto wallet built for the Meta Ray-Ban Display. Check balances, read the market, and act on your strategies hands-free — heads-up, right in your line of sight.
04 Autopilots
Flip on AI autopilots that mirror proven on-chain whales — gated by an event-driven reinforcement-learning model that's been adversarially audited by a panel of agents. A risk governor and Monte-Carlo backtests keep every bot honest before a dollar moves.
Mirrors the wallets that actually print — only when the model's edge clears the gate.
Follows accounts with a verified on-chain history, sized by conviction.
Quotes both sides on the perp tape and hedges the inventory automatically.
Position caps, drawdown limits and kill-switches — disabled means disabled.
05 The Morpheus language
Morpheus is the first trading language built on category theory — think PineScript, with a hedge fund's rigor. Author strategies as type-safe morphisms, test them on bars right on your phone, and flip them live. If it compiles, it's a mathematically valid strategy.
-- golden cross: fast EMA over slow EMA -> Buy / Sell / Hold
category Vect
type Scalar : Vect = Vector(1)
type Bar : Vect = product(product(Scalar,Scalar,Scalar,Scalar), Scalar)
type Series : Vect = Sequence[Bar]
type Decision : Vect = coproduct(Buy, Sell, Hold)
morphism close : Bar -> Scalar = project(0) ; project(3)
coalgebra golden_cross for Sequence on product(Scalar, Scalar, Bool) {
init = (10, 10, inject(0))
structure_map(state, bar) =
let c = close(bar) in
let fast = 0.5 * c + 0.5 * project(0, state) in
let slow = 0.2 * c + 0.8 * project(1, state) in
let above = fast > slow in
( (fast, slow, above),
case {
and(not(project(2, state)), above) => Buy ;
and(project(2, state), not(above)) => Sell ;
_ => Hold
} )
}
let signals = scan(golden_cross) over Series06 Under the hood
The category-theory engine runs locally — strategies and ML inference execute on your phone, not someone's server. Your edge never leaves the device.
100% local20+ microstructure features per market — pressure, skew, absorption.
Stress every strategy across thousands of paths before it trades a cent.
A real-time on-chain copy-trade feed, scored and gated by the model.
Polymarket · Kalshi · Hyperliquid — routed from one balance.
Keys on device, export-compliant, with gasless redeems so you claim winnings without holding gas. Your coins answer to no one but you.
your keys · your coins