01
Iran Intelligence
Domestic liquidity, Iranian market structure and local opportunity set.
SYSTEM ARCHITECTURE
Two-system architecture
Independence enables valid analysis and prevents incompatible models from being blended.
02
Global Intelligence
Global capital rotation and cross-market regimes.
03
NOERA Strategic Layer
Compares outcomes at the wealth-objective and mandate level—not by merging raw models.
TWO INDEPENDENT INTELLIGENCE ENGINES
NOERA does not run one AI system
Iranian and global markets differ in data availability, market microstructure, instruments, settlement and regime behaviour. NOERA therefore operates two separate engines. They share the NOERA methodology — the evidence standard, the governance and the reporting format — but they do not share data pipelines, models, regime definitions or predictions.
NOERA Iran Intelligence
Built for the structure of the Iranian capital market and its domestic liquidity cycle.
Iran stock marketTSE indicesIndustry groupsEquity fundsLeveraged fundsGold fundsSilver fundsFixed income fundsUS dollarLiquidity rotation
OWN DATA PIPELINE · OWN MODELS · OWN REGIMES
NOERA Global Intelligence
Built to read global markets as one connected capital network across asset classes.
US equitiesEuropean marketsAsian marketsGoldSilverCopperOilEnergyCurrenciesBondsBitcoinCrypto assets
OWN DATA PIPELINE · OWN MODELS · OWN REGIMES
The two engines meet only at the strategic mandate layer, where capital allocation is decided. No output is averaged, blended or silently reconciled between them.
NOW
What do the systems see now?
Each system publishes its own market state.
All values in this prototype are illustrative and must not be treated as live before validated data integration.
NOWSAMPLE · AS OF —
Iran Market StateIndex regime, breadth, sectors, leveraged funds, gold, fixed income and dollar.
Global Market StateGlobal risk, regional equities, metals, energy, bonds and crypto.
Publication StateSample, delayed or live with as-of time and confidence.
WHAT THE ENGINES ACTUALLY DO
Prediction, not description
Each engine reads its own market on its own data. Before anything is called a conclusion it must state where it came from, when it is true as of, how confident the system is, and what would prove it wrong.
01Separate data pipelines, features and regime definitions
02Every output carries source, as-of time, confidence and invalidation
03Failed observations stay on the public record
WHY
Why do we see it this way?
Each research system records relevant data, model logic, counter-scenarios and limitations.
1
Evidence Inputs
Price, volume, breadth, ratios, liquidity and relevant macro variables.
2
Counter-Evidence
Signals that may reject the current regime or preference.
3
Human Review
Model output does not become a product decision without accountable review.
PROOF
What proves it?
Time-stamped records preserve what was published before the outcome and how it was later assessed.
Published Observation
Original text and timestamp remain immutable.
Outcome Review
Confirmed, partial, invalidated or expired.
Methodology Version
The model version used at publication.
SYSTEM ARCHITECTURE
Separate models, comparable conclusions
Each system owns its data pipeline, feature set, regime definitions and validation record. What crosses between them is not a signal but a comparison: where capital is better rewarded for the risk taken, expressed in the investor’s own unit of wealth.
Schematic — architecture, not live output
MANDATE MAPPING
How intelligence maps to mandates
Iran Intelligence primarily supports Alpha and the Iran Gold path. Global Intelligence supports Prime, Digital and the global Gold path.
RESOURCES
Where to look next
Every claim on this page continues somewhere more specific. These are the three most useful next documents.
Shared standard, separate models
Governance and evidence are common; data, features, regimes and validation are not.
Open
The record, including what failed
Observations stay on file with their time, confidence, invalidation condition and eventual outcome.
Open
Two archives, never merged
Separate research records for the Iran and global systems, each on its own data and method.
OpenFAQ
Questions investors ask first
What must an output carry before it is published?
Four things, without exception: the source it rests on, the time it is true as of, a stated confidence, and the condition that would invalidate it. An observation that cannot be invalidated is not treated as intelligence.
Do the Iran and global systems ever share a signal?
No. They share governance standards and an evidence format, not data, features or model logic. What passes between them at the mandate layer is a comparison of risk-adjusted opportunity, expressed in a common unit of account.
What happens when the system is wrong?
The observation stays on the record with its original confidence and invalidation condition, alongside the outcome. Evidence is public memory, and removing failed calls from it would make the record worthless.
Is Market Now a live feed?
Not in this prototype. Market Now is built to show the two system states separately once validated data integration is in place; everything currently displayed is illustrative and marked as sample.
TALK TO NOERA
Speak with a mandate specialist
If the route is still unclear after Quick Fit, a specialist can walk through the unit of wealth, the risk budget and the account infrastructure that would actually apply to your situation — before any application is submitted.
NEXT STEP