SWARMS.TRADE Open demo ↗
MULTI-AGENT MARKET INTELLIGENCE

Deploy a swarm.
Hunt the market.

Configure specialized AI agents around the signals you care about. Let them scan in parallel, challenge each other, and converge on opportunities that fit your strategy.

Build your swarm →Watch the live swarm
PARALLELagent scanning
6signal classes
WEIGHTEDagent consensus
SWARM_07 / DEMO
ETH · BASE · SOL · RH
TOKEN_1487.4SWARM SCORE
POOL_0872.9LIQUIDITY SIGNAL
CONVERGENCE91%
VOL_03
WHALE_01
MOM_02
simulated telemetry287 markets scanned3 signals converging
LIVE SWARM / INTERACTIVE DEMO

Six instincts.
One shared signal.

Watch specialized agents scan, challenge, and converge. A scripted glimpse inside the swarm — every finding below is simulated.

SWARM_07SIMULATED TELEMETRY
SOL / USDC · SAMPLE SCENARIO6 SPECIALISTS SCAN COMPLETE
VOL / 01CONFIRMED

Volume Fly

+184%
15m volume expansion

Activity accelerating across 3 demo venues.

LIQ / 02VERIFIED

Liquidity Fly

$412K
depth within 2%

Simulated depth holding through the move.

MOM / 03ALIGNED

Momentum Fly

8.7/10
trend strength

Breakout structure confirmed in this scenario.

WHL / 04TRACKING

Whale Fly

03
wallets accumulating

Three sample large-wallet entries detected.

RSK / 05CAUTION

Risk Fly

ELEVATED
liquidity concentration

Top LP concentration flagged. Review required.

SOC / 06LISTENING

Social Fly

+126%
mention velocity

Sample attention is rising alongside volume.

SWARM CONSENSUS

Bullish bias

82/ 100
ILLUSTRATIVE CONFIDENCE

5 signals align.
Risk Sentinel raises a caution.

Concentration risk · review required
DEMO OUTPUT · NO TRADE EXECUTED
TRACE / DEMOConsensus formed. Risk flag retained for review.06 / 06
Scripted demonstration. All metrics, agent findings, and confidence scores are simulated, not live market data or trading recommendations.
01 / AGENT LAYER

One objective.
Specialized instincts.

Every fly has a job. Deploy them individually or combine them into a swarm that reflects how you actually trade.

◉SCANNING

Volume Scout

Finds abnormal volume expansion before it becomes obvious.

ACCELERATION+84%
≈TRACKING

Liquidity Hunter

Maps depth, pool changes, and where capital is actually moving.

DEPTH FOUND$1.8M
↗ACTIVE

Momentum Fly

Scores acceleration, trend persistence, and breakout structure.

MOMENTUM8.7/10
◇WATCHING

Whale Watcher

Tracks large-wallet entries, exits, concentration, and clustering.

NEW WALLETS04
⌁LISTENING

Social Scout

Monitors attention velocity and narrative shifts across social data.

MENTION VELOCITY+212%
△GUARDING

Risk Sentinel

Challenges the swarm with volatility, concentration, and downside checks.

RISK GRADEB+
02 / SWARM BUILDER

Give the swarm
your priorities.

Weight the signals that matter. Your swarm changes behavior in real time as your strategy changes.

SWARM CONFIGURATION
PROFILE: AGGRESSIVE DISCOVERY
Volumeabnormal trading activity
82
Liquiditydepth and capital movement
74
Momentumtrend and breakout strength
91
Whale activitylarge wallet behavior
66
Social velocityattention and narrative growth
57
Risk tolerancehow hard the sentinel pushes back
48
SWARM PROFILE14 AGENTS
VOLUMELIQMOMWHALESOCIALRISK
SCAN MODEWIDE
CONSENSUS72%
EXECUTIONPAPER
READY // no active simulation
03 / CONSENSUS ENGINE

Swarms don't guess.
They converge.

Every agent produces an independent read. The system only elevates opportunities when enough specialized signals agree.

VOL_03+84%volume acceleration
LIQ_02$1.8Mverified depth
MOM_058.7momentum score
SWARM SIGNAL91.4
HIGH CONVICTION
WHALE_014new large wallets
SOC_04+212%mention velocity
RISK_01B+acceptable risk
04 / TRACE CONSOLE

Watch the swarm
think in real time.

Every scan, disagreement, confidence update, and execution decision stays observable.

01Parallel market scanning02Agent-to-agent challenge03Traceable consensus04Guardrailed execution
SWARM CONSOLE / demo_streamSIMULATION
14:31:08.144 SYS initialized swarm_07 with 14 agents
14:31:08.405 VOL scanning 287 markets across 4 networks
14:31:09.022 LIQ depth anomaly detected on TOKEN_14
14:31:09.189 WHALE 4 wallets entered within 6m window
14:31:09.431 RISK concentration check → acceptable
14:31:09.774 MOM breakout persistence score 8.7/10
14:31:10.016 SYS consensus threshold reached: 5/6
14:31:10.101 SIGNAL TOKEN_14 → SWARM SCORE 91.4
agents: 14/14latency: 842msmode: paper● demo stream
05 / WORKFLOW

From objective
to execution.

01
＋

Define

Choose markets, signals, risk limits, and time horizon.

YOU SET THE INSTINCTS
02
✣

Deploy

Your agents fan out across markets and scan in parallel.

THE SWARM GOES TO WORK
03
◎

Converge

Independent reads combine into ranked swarm signals.

NO SINGLE-AGENT BLIND SPOTS
04
↗

Execute

Review manually or let predefined guardrails handle execution.

YOU CONTROL THE AUTONOMY
CONTROL LAYER

Autonomous doesn't mean
uncontrolled.

01Paper mode first

Validate the swarm against live markets without risking capital.

02Hard risk limits

Cap size, drawdown, slippage, and exposure before deployment.

03Human approval

Require confirmation for every trade or only above set thresholds.

04Full observability

See which agents contributed to every signal and decision.

SWARMS.TRADE

Stop watching the market
one signal at a time.

Build a swarm that thinks the way you trade.

Configure your swarm →