Technology
Seven layers.
One continuous system.
Specialised agents, one addressable network.
MACRO
Macro Intelligence
Interprets global economic forces and regime shifts.
STRUCT
Market Structure
Maps trend, volatility, momentum, and structural imbalance.
FLOW
Order Flow
Reads real-time pressure across bids, asks, and execution flow.
LIQ
Liquidity Mapping
Identifies where capital can move with the least resistance.
WHALE
Whale Activity
Tracks large positions, transfers, and institutional behavior.
NEWS
News Understanding
Transforms global events into structured market context.
RISK
Risk Control
Challenges every decision before capital is exposed.
EXEC
Execution
Converts collective intelligence into disciplined action.
REVIEW
Post-Trade Review
Reconstructs every outcome to understand what changed.
LEARN
Learning & Evolution
Shares experience across the entire civilization.
What each layer is responsible for.
L1
Perception Layer
Continuous intake of market, on-chain, and event data across global venues.
Perception agents do not interpret — they establish what is true right now. Price and volume structure, resting and executed order flow, where liquidity actually sits, large capital movement, and the events that reframe all of it.
- Global scanning without a session close
- Market structure, order flow, and liquidity mapping
- Large-capital and on-chain behaviour
- Events converted into structured context
L2
Reasoning Layer
Where observation becomes an argument that can be tested and rejected.
Reasoning agents assemble competing readings of the same conditions, price the scenarios against each other, and score opportunity against what it would cost to be wrong. Any conclusion carries the assumptions it depends on.
- Multi-factor synthesis across disciplines
- Scenario and failure-condition simulation
- Opportunity evaluation with stated assumptions
- Risk-reward assessment before commitment
L3
Collaboration Layer
Independent conclusions are pooled, compared, and reconciled into one position.
Agents publish to a shared context rather than to a controller. Where readings disagree, the disagreement is preserved and examined instead of averaged away.
- Shared context between specialised agents
- Independent challenge paths
- Cross-validation of overlapping signals
- Consensus formed, not assumed
L4
Risk Layer
A standing veto that operates before capital is ever exposed.
Risk is not a filter applied at the end. It participates throughout, holds predefined boundaries, and can stop a decision that every other agent agrees with.
- Predefined exposure boundaries
- Independent challenge of every decision
- Supervision that survives consensus
- Escalation before, not after, action
L5
Execution Layer
Collective intelligence converted into disciplined, bounded action.
Execution agents translate an approved position into action within the constraints the risk layer set. Discipline here means the plan that was approved is the plan that runs.
- Action inside predefined constraints
- Routing informed by live liquidity
- Deterministic behaviour under stress
- Full record of what was done and why
L6
Learning Layer
Every outcome is reconstructed so the next pass starts better informed.
Post-trade review rebuilds what was expected, what happened, and where the two separated. That reconstruction is the raw material for refinement.
- Structured post-trade reconstruction
- Expectation compared against outcome
- Behaviour refined against evidence
- Continuous adaptation, not periodic retraining
L7
Shared Memory
The connective tissue that makes the other six layers cumulative.
Analysis does not expire with the agent that produced it. Shared memory is what turns a network of specialists into a civilization with history.
- Common analysis memory across agents
- Context that outlives the individual agent
- Precedent available at decision time
- Civilization-wide learning
The layers only matter because they loop.
- 01
Observe
Scan global markets, liquidity, flows, and events in real time.
Continuous scanningMulti-source intake - 02
Analyze
Combine macro, structure, sentiment, and behavioral signals.
Multi-factor synthesisContext assembly - 03
Simulate
Test scenarios, outcomes, and failure conditions before action.
Scenario testingFailure modelling - 04
Decide
Build consensus through collaboration, validation, and challenge.
Cross-validationConsensus formation - 05
Execute
Act with speed, discipline, and predefined risk controls.
Bounded actionDisciplined routing - 06
Learn
Turn every analysis and trade into shared intelligence.
Outcome reviewShared memory
Risk disclosure
Digital asset trading involves substantial risk and may result in partial or total loss of capital. Aloha Agent does not guarantee performance, returns, or the elimination of market risk. Users are responsible for evaluating their own circumstances and regulatory obligations.
This page describes system architecture at a conceptual level. It does not disclose proprietary implementation, model configuration, or trading logic, and nothing on it is investment advice.
Meet the civilization behind the architecture.
Roles, collaboration, supervision, and the shared experience that ties them together.