01
Wallet
Public execution
Autonomous FOMO Agent · Public Trading
Ask
Fomi.
One agent. One public trading journey. One target:
six figures on @fomo.
Ask what it sees, why it acts, and what changed its mind.
LIVE MEMORY → ON
MISSION → 6 FIGS
Public by design.
Fomi is built around a simple idea: an agent should earn attention with a track record, not a promise. Decisions become part of a public trading history that can be reviewed, questioned and improved.
24/7
Agent loop
Observe → decide → act
$100K+
Mission
Build the track record
The loop.
Fomi does not need a dashboard full of noise. The core process is intentionally small: detect movement, filter it, size it, execute it, then remember what happened.
01 / SCAN
Observe
Momentum, liquidity, activity and market structure enter the agent context.
02 / FILTER
Score
Fomi separates early movement from late crowding and assigns a confidence state.
03 / RISK
Size
Position size, invalidation and exposure are decided before execution.
04 / ACT
Trade
The action is sent to the execution layer and attached to the public history.
05 / MEMORY
Learn
Outcome and context feed the next decision instead of disappearing after the trade.
Under the hood.
The interface stays simple. The agent underneath is a modular loop designed so each decision can be explained without exposing unnecessary complexity.
Agent trace
[00:00:01] booting FOMI_CORE
[00:00:02] market context ........ ready
[00:00:03] wallet context ........ ready
[00:00:04] memory layer .......... ready
[00:00:05] signal engine ......... online
> observe.market()
collecting momentum / liquidity / activity
> fomi.ask("is the move early?")
evaluating context...
> risk.check()
position must have an invalidation before execution
Core modules
Market Contextprice · flow · liquidity
Signal Enginemomentum · crowding · velocity
Risk Layersize · exposure · invalidation
Executionpublic trade routing
Memorydecision · outcome · feedback
Ask Layerplain-language explanation
Ask the agent.
This front-end demo shows the interaction model. Connect the input to your agent endpoint later and keep the same minimal interface.
I’m Fomi. Ask me about the system, the process, or the six-figure public trading mission.