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The agent-native trading terminal for Hyperliquid

Quant-grade market intelligence in natural language

Trading used to be dashboards.

Now it's intent.

You describe what you want. The agent handles everything between the research and the execution.

Hundreds of data points. Real time.

Behind every Engram agent is a data pipeline spanning 50+ sources that would cost a quant fund six figures annually. Aggregated, cross-referenced, and served on demand in natural language.

01 /

Market Structure

img

Exchange Data Layer

Cross-Exchange Derivatives

Technical Analysis Engine

02 /

Positioning & Flows

img

Positioning Intelligence

Order Flow Microstructure

Smart Money Tracking

On-Chain Entity Intelligence

03 /

Narratives

img

Narrative & Sentiment

Market Sentiment Index

Catalyst & Fundamentals

04 /

Macro & Risk

img

Macro Market Context

Macro Regime Context

Geopolitical Risk Engine

Institutional Positioning

05 /

Fundamentals & Supply

img

Benchmark Pricing

Physical Supply Intelligence

Crop & Climate Fundamentals

DeFi Protocol Intelligence

06 /

Predictive

& Satellite Intelligence

img

Probabilistic Forecasting

Satellite & Alternative Data

Killer setup. Day one.

Works out of the box. No configuration required.

icon

Scans 200+ markets while you sleep

icon

Tracks Smart money positioning

icon

Reads the macro regime

icon

Tracks narratives before they peak

icon

Tracks catalysts & unlock pressure

icon

Monitors geopolitical risk in real time

icon

Finds yield on your holdings

icon

Executes with guardrails

icon

Tracks your performance honestly

icon

Catches what you'd miss

icon

Teaches you as you go

icon

Logs every trade as a lesson

Al trading agents fail in isolation.

Every trade across the network produces a structured lesson. Patterns that hold up across thousands of lessons update shared skill files, improving every agent in the network simultaneously.

The lesson

The lesson

Every trade captures a 140-field context snapshot at open and close – market structure, positioning intelligence, sentiment, macro regime, risk metrics, technical indicators, on-chain flows, and the trader’s thesis. The diff between snapshots is where the signal lives.

The library

The library

Lessons accumulate into a labeled dataset of curated, human trading footprint with no existing equivalent. Not just price data – positioning, flows, macro regime, risk state, and what changed between entry and exit. Trader reasoning is optional but rewarded.

The flywheel

The flywheel

Patterns extracted from the collective update shared skill files. All agents improve at once. Better agents produce better trades. Better trades produce richer lessons. The intelligence compounds and the entire agent network benefits.

From mint to founding contributor in minutes.

Four steps to a fully equipped AI trading agent backed by collective intelligence.

STEP 01

Mint an Engram

Mint an Engram NFT

Your access to the collective intelligence program. Traits and metadata that evolve as you contribute.

STEP 02

Deploy your agent

Deploy your agent

Fifty data sources pre-connected, skill files loaded, pipeline ready. Just bring your own LLM key.

STEP 03

Trade normally

Trade normally

Your agent presents setups. You approve, reject or discuss. Every trade becomes a structured lesson.

STEP 04

Own the intelligence

Compound the intelligence

Your lessons feed the network. Patterns improve all agents. Your contributions earn quality-weighted XP that builds your standing.

Built for Hyperliquid. Expanding across HyperEVM.

Every financial primitive, one agent.

Perpetual futures on Hyperliquid

Spot swaps through PRJX

Staking via Kinetiq

Lending on HyperLend

Global markets on Markets.xyz

Borrowing via Felix

The network starts with you.

Early traders shape the intelligence every future agent inherits. Drop your email.

logo
bg
bg
bg
bg

The agent-native trading terminal for Hyperliquid

Quant-grade market intelligence in natural language

Trading used to be dashboards.

Now it's intent.

You describe what you want. The agent handles everything between the research and the execution.

Hundreds of data points. Real time.

Behind every Engram agent is a data pipeline spanning 50+ sources that would cost a quant fund six figures annually. Aggregated, cross-referenced, and served on demand in natural language.

01 /

Market Structure

img

Exchange Data Layer

Cross-Exchange Derivatives

Technical Analysis Engine

02 /

Positioning & Flows

img

Positioning Intelligence

Order Flow Microstructure

Smart Money Tracking

On-Chain Entity Intelligence

03 /

Narratives

img

Narrative & Sentiment

Market Sentiment Index

Catalyst & Fundamentals

04 /

Macro & Risk

img

Macro Market Context

Macro Regime Context

Geopolitical Risk Engine

Institutional Positioning

05 /

Fundamentals & Supply

img

Benchmark Pricing

Physical Supply Intelligence

Crop & Climate Fundamentals

DeFi Protocol Intelligence

06 /

Predictive

& Satellite Intelligence

img

Probabilistic Forecasting

Satellite & Alternative Data

Killer setup. Day one.

Works out of the box. No configuration required.

icon

Teaches you as you go

icon

Scans 200+ markets while you sleep

icon

Tracks Smart money positioning

icon

Tracks narratives before they peak

icon

Reads the macro regime

icon

Finds yield on your holdings

icon

Monitors geopolitical risk in real time

icon

Executes with guardrails

icon

Tracks catalysts & unlock pressure

icon

Tracks your performance honestly

icon

Catches what you'd miss

icon

Logs every trade as a lesson

Al trading agents fail in isolation.

Every trade across the network produces a structured lesson. Patterns that hold up across thousands of lessons update shared skill files, improving every agent in the network simultaneously.

The lesson

The lesson

Every trade captures a 140-field context snapshot at open and close – market structure, positioning intelligence, sentiment, macro regime, risk metrics, technical indicators, on-chain flows, and the trader’s thesis. The diff between snapshots is where the signal lives.

The library

Lessons accumulate into a labeled dataset of curated, human trading footprint with no existing equivalent. Not just price data – positioning, flows, macro regime, risk state, and what changed between entry and exit. Trader reasoning is optional but rewarded.

The library
The flywheel

The flywheel

Patterns extracted from the collective update shared skill files. All agents improve at once. Better agents produce better trades. Better trades produce richer lessons. The intelligence compounds and the entire agent network benefits.

From mint to founding contributor in minutes.

Four steps to a fully equipped AI trading agent backed by collective intelligence.

STEP 01

Mint an Engram

Mint an Engram NFT

Your access to the collective intelligence program. Traits and metadata that evolve as you contribute.

STEP 02

Deploy your agent

Deploy your agent

Fifty data sources pre-connected, skill files loaded, pipeline ready. Just bring your own LLM key.

STEP 03

Trade normally

Trade normally

Your agent presents setups. You approve, reject or discuss. Every trade becomes a structured lesson.

STEP 04

Own the intelligence

Compound the intelligence

Your lessons feed the network. Patterns improve all agents. Your contributions earn quality-weighted XP that builds your standing.

Built for Hyperliquid. Expanding across HyperEVM.

Every financial primitive, one agent.

Perpetual futures on Hyperliquid

Spot swaps through PRJX

Staking via Kinetiq

Lending on HyperLend

Global markets on Markets.xyz

Borrowing via Felix

The network starts with you.

Early traders shape the intelligence every future agent inherits. Drop your email.

logo
bg
bg
bg
bg

The agent-native trading terminal for Hyperliquid

Quant-grade market intelligence in natural language

Trading used to be dashboards.

Now it's intent.

You describe what you want. The agent handles everything between the research and the execution.

Hundreds of data points. Real time.

Behind every Engram agent is a data pipeline spanning 50+ sources that would cost a quant fund six figures annually. Aggregated, cross-referenced, and served on demand in natural language.

01 /

Market Structure

img

Exchange Data Layer

Cross-Exchange Derivatives

Technical Analysis Engine

02 /

Positioning & Flows

img

Positioning Intelligence

Order Flow Microstructure

Smart Money Tracking

On-Chain Entity Intelligence

03 /

Narratives

img

Narrative & Sentiment

Market Sentiment Index

Catalyst & Fundamentals

04 /

Macro & Risk

img

Macro Market Context

Macro Regime Context

Geopolitical Risk Engine

Institutional Positioning

05 /

Fundamentals & Supply

img

Benchmark Pricing

Physical Supply Intelligence

Crop & Climate Fundamentals

DeFi Protocol Intelligence

06 /

Predictive

& Satellite Intelligence

img

Probabilistic Forecasting

Satellite & Alternative Data

Killer setup. Day one.

Works out of the box. No configuration required.

icon

Scans 200+ markets while you sleep

icon

Tracks Smart money positioning

icon

Tracks narratives before they peak

icon

Reads the macro regime

icon

Finds yield on your holdings

icon

Monitors geopolitical risk in real time

icon

Executes with guardrails

icon

Tracks catalysts & unlock pressure

icon

Tracks your performance honestly

icon

Catches what you'd miss

icon

Teaches you as you go

icon

Logs every trade as a lesson

Al trading agents fail in isolation.

Every trade across the network produces a structured lesson. Patterns that hold up across thousands of lessons update shared skill files, improving every agent in the network simultaneously.

The lesson

The lesson

Every trade captures a 140-field context snapshot at open and close – market structure, positioning intelligence, sentiment, macro regime, risk metrics, technical indicators, on-chain flows, and the trader’s thesis. The diff between snapshots is where the signal lives.

The library

The library

Lessons accumulate into a labeled dataset of curated, human trading footprint with no existing equivalent. Not just price data – positioning, flows, macro regime, risk state, and what changed between entry and exit. Trader reasoning is optional but rewarded.

The flywheel

The flywheel

Patterns extracted from the collective update shared skill files. All agents improve at once. Better agents produce better trades. Better trades produce richer lessons. The intelligence compounds and the entire agent network benefits.

From mint to founding contributor in minutes.

Four steps to a fully equipped AI trading agent backed by collective intelligence.

STEP 01

Mint an Engram

Mint an Engram NFT

Your access to the collective intelligence program. Traits and metadata that evolve as you contribute.

STEP 02

Deploy your agent

Deploy your agent

Fifty data sources pre-connected, skill files loaded, pipeline ready. Just bring your own LLM key.

STEP 03

Trade normally

Trade normally

Your agent presents setups. You approve, reject or discuss. Every trade becomes a structured lesson.

STEP 04

Own the intelligence

Compound the intelligence

Your lessons feed the network. Patterns improve all agents. Your contributions earn quality-weighted XP that builds your standing.

Built for Hyperliquid. Expanding across HyperEVM.

Every financial primitive, one agent.

Perpetual futures on Hyperliquid

Spot swaps through PRJX

Staking via Kinetiq

Lending on HyperLend

Global markets on Markets.xyz

Borrowing via Felix

The network starts with you.

Early traders shape the intelligence every future agent inherits. Drop your email.

logo
bg
bg
bg
bg

The agent-native trading terminal for Hyperliquid

Quant-grade market intelligence in natural language

Trading used to be dashboards.

Now it's intent.

You describe what you want. The agent handles everything between the research and the execution.

Hundreds of data points. Real time.

Behind every Engram agent is a data pipeline spanning 50+ sources that would cost a quant fund six figures annually. Aggregated, cross-referenced, and served on demand in natural language.

01 /

Market Structure

img

Exchange Data Layer

Cross-Exchange Derivatives

Technical Analysis Engine

02 /

Positioning & Flows

img

Positioning Intelligence

Order Flow Microstructure

Smart Money Tracking

On-Chain Entity Intelligence

03 /

Narratives

img

Narrative & Sentiment

Market Sentiment Index

Catalyst & Fundamentals

04 /

Macro & Risk

img

Macro Market Context

Macro Regime Context

Geopolitical Risk Engine

Institutional Positioning

05 /

Fundamentals & Supply

img

Benchmark Pricing

Physical Supply Intelligence

Crop & Climate Fundamentals

DeFi Protocol Intelligence

06 /

Predictive

& Satellite Intelligence

img

Probabilistic Forecasting

Satellite & Alternative Data

Killer setup. Day one.

Works out of the box. No configuration required.

icon

Scans 200+ markets while you sleep

icon

Tracks Smart money positioning

icon

Tracks narratives before they peak

icon

Reads the macro regime

icon

Finds yield on your holdings

icon

Monitors geopolitical risk in real time

icon

Executes with guardrails

icon

Tracks catalysts & unlock pressure

icon

Tracks your performance honestly

icon

Catches what you'd miss

icon

Teaches you as you go

icon

Logs every trade as a lesson

Al trading agents fail in isolation.

Every trade across the network produces a structured lesson. Patterns that hold up across thousands of lessons update shared skill files, improving every agent in the network simultaneously.

The lesson

The lesson

Every trade captures a 140-field context snapshot at open and close – market structure, positioning intelligence, sentiment, macro regime, risk metrics, technical indicators, on-chain flows, and the trader’s thesis. The diff between snapshots is where the signal lives.

The library

The library

Lessons accumulate into a labeled dataset of curated, human trading footprint with no existing equivalent. Not just price data – positioning, flows, macro regime, risk state, and what changed between entry and exit. Trader reasoning is optional but rewarded.

The flywheel

The flywheel

Patterns extracted from the collective update shared skill files. All agents improve at once. Better agents produce better trades. Better trades produce richer lessons. The intelligence compounds and the entire agent network benefits.

From mint to founding contributor in minutes.

Four steps to a fully equipped AI trading agent backed by collective intelligence.

STEP 01

Mint an Engram

Mint an Engram NFT

Your access to the collective intelligence program. Traits and metadata that evolve as you contribute.

STEP 02

Deploy your agent

Deploy your agent

Fifty data sources pre-connected, skill files loaded, pipeline ready. Just bring your own LLM key.

STEP 03

Trade normally

Trade normally

Your agent presents setups. You approve, reject or discuss. Every trade becomes a structured lesson.

STEP 04

Own the intelligence

Compound the intelligence

Your lessons feed the network. Patterns improve all agents. Your contributions earn quality-weighted XP that builds your standing.

Built for Hyperliquid. Expanding across HyperEVM.

Every financial primitive, one agent.

Perpetual futures on Hyperliquid

Spot swaps through PRJX

Staking via Kinetiq

Lending on HyperLend

Global markets on Markets.xyz

Borrowing via Felix

The network starts with you.

Early traders shape the intelligence every future agent inherits. Drop your email.

logo