Arcanero Analytics

Intelligence That Holds Under Pressure.

Proprietary predictive analytics for global markets

Predictive intelligence built
for changing markets.

Arcanero turns corrected point-in-time data into adaptive company rankings, market signals and human-supervised portfolio decisions across global equity indexes, including the S&P 500 and ASX 200.


25+ years
Decision-time financial
history used in research
Global
Multiple equity index
universes analysed
A$900k
Founder and private
capital invested
A$230k
Australian innovation grants
awarded across two rounds

The problem beneath the model

Historical data can quietly import tomorrow into yesterday.

Financial databases do not stand still. Restatements, delayed fields, corporate actions, survivorship effects and conflicts between sources can give a historical model information no investor had when the decision would have been made.

Arcanero reconstructs what was knowable on each decision date. That corrected record supports the full decision chain—from adaptive company rankings and market signals to portfolio construction and rebalancing.


The Arcanero platform

One proprietary intelligence platform. Four paths to market.

Arcanero Data provides the point-in-time foundation. Arcanero Signals converts the engine’s output into institutional market intelligence. Momentus applies selected signals through a private strategy. Stratera extends the architecture into project-capital decisions.

01 — Financial data
Arcanero Data

Corrected point-in-time financial data with correction and provenance records, being prepared for commercial API delivery.

Commercial target · Dec 2026–Jan 2027
02 — Market intelligence
Arcanero Signals

Adaptive company rankings and portfolio intelligence for family offices, funds and investment teams.

Designed for institutional delivery
03 — Private investment strategy
Momentus

Arcanero’s private, invite-only strategy for applying selected signals generated by the platform.

Private · Invite only
04 — Business intelligence
Stratera

Decision intelligence for interconnected risks affecting project capital and critical supply chains.

In research and design

Selected research performance

Material benchmark outperformance across two distinct markets.

In two-year historical simulations, Arcanero’s rebuilt strategies outperformed their buy-and-hold benchmarks across the S&P 500 and ASX 200. These selected results demonstrate the engine’s application; they do not define its total index coverage.

S&P 500
Two-year historical simulation
MetricArcaneroIndex
Total return+107.0%+39.5%
Annualised return+38.4%+17.5%
Annualised alpha+17.4%
Sharpe ratio2.141.39
Maximum drawdown−8.9%−7.5%
ASX 200
Two-year historical simulation
MetricArcaneroIndex
Total return+60.3%+19.8%
Annualised return+26.6%
Alpha+14.0%
Sharpe ratio1.48
Maximum drawdown−10.6%

Historical simulations; not live fund performance. Past results do not predict future returns.


Arcanero Data

Build on data your models can defend.

Arcanero Data reconstructs the financial record available at each point in time, creating a cleaner foundation for quantitative research, model development and investment decisions.

25+ years
Deep company history

Financial information is collected from vetted sources and tested across market cycles and global index universes.

Developed for Arcanero’s engine
Decision-time integrity
What the market knew then

Fields are cleaned, reconciled and aligned to when each fact became knowable, reducing historical leakage.

Point-in-time data process
Correction provenance
See what changed—and why

Arcanero records where a field required correction and preserves the provenance of that correction.

Field-level correction records
Commercial API
Built for quantitative workflows

Initial delivery will focus on Arcanero-created corrected fields for S&P 500 and ASX 200 companies, with further global universes being added.

Target · Dec 2026–Jan 2027
Arcanero Signals

Adaptive market intelligence for investment teams.

Arcanero Signals turns modelled company rankings into portfolio construction, monitoring and rebalancing across global equity indexes.

Detect regime change
Hundreds of thousands of learners are evaluated across more than 25 years of market history to identify when familiar relationships are strengthening, weakening or changing.
Interpret context
Financial, sector, social, news and other relevant licensed inputs help the engine assess whether known market anomalies continue to matter.
Rank companies
Tuned and stacked machine-learning methods rank companies within global index universes using information available at the decision point.
Build portfolios
Rankings flow into portfolio construction, ongoing monitoring and rebalancing under defined strategy and risk parameters.
Retain human authority
People remain accountable for strategy, data, models, portfolio rules, risk and trade execution.

Designed for family offices, emerging managers, funds and investment teams that need quantitative capability without recreating an entire in-house quant operation. Research has included S&P 500, ASX 200, Nasdaq 100, TSX 100, Nikkei and FTSE universes, with additional indexes being integrated.

Discuss Institutional Applications

Technology and defensibility

Proprietary from the data layer to the decision.

Arcanero owns its technical IP, operates dedicated in-house compute and controls the full analytical chain. The result is a platform built for adaptation, reproducibility and accountable decision-making.

Point-in-time foundation

Models learn from the information available then

Inputs are cleaned, corrected and aligned to when they became knowable, with correction and provenance records maintained throughout the process.

Regime-aware engine

Relationships are tested as markets change

Large populations of tuned and stacked learners operate across different historical conditions while current indicators help the engine recognise changing regimes.

Contextual intelligence

Market structure is read from more than one source

Financial, sector, social and news information broadens the context used to assess anomalies, rank companies and construct portfolios.

Agentic monitoring

Automation increases reach; people retain authority

Agentic LLM systems monitor data and model behaviour, assist with tuning inside defined parameters and report to staff. Human oversight remains at the strategy, risk and execution levels.

Owned infrastructure

IP and compute remain under company control

Dedicated in-house infrastructure protects proprietary methods, supports reproducibility and gives Arcanero greater operational independence.


Momentus · Private investment strategy

A private strategy built on Arcanero’s own intelligence.

Momentus is Arcanero’s private, invite-only investment strategy, built on the company’s proprietary data and adaptive market intelligence. Participation is limited. Further information is available by direct enquiry.

Request a Momentus Briefing Planned private launch · Dec 2026–Jan 2027

Company

The core platform is built. Arcanero is entering commercialisation.

Technical research began in 2015. Ron Janjua and Nick Inglis began shaping the commercial thesis in 2020, and interest at a Toronto technology conference in July 2023 helped drive the formation of Arcanero Analytics Pty Ltd in January 2024.

In March 2026, the founders rebuilt the core architecture to strengthen adaptation across regime shifts, broaden the data foundation and introduce agentic monitoring. Both founders work full time in the company.

Arcanero is expanding its machine-learning and data capability, completing commercial API delivery, advancing institutional applications and developing Stratera from the same proprietary foundation. Founded in Australia. Built for global markets.

Core team

Built by people who understand models, markets and consequences.

RJ
Ron Janjua
CEO & Co-Founder
Ron is Arcanero’s full-time CEO and a dual-qualified lawyer in Australia and Canada. He holds a BA from York University, an MSc from the London School of Economics, a JD from Bond University and an LLM from the University of Queensland, alongside postgraduate qualifications in psychology, theory and methodology. His experience spans Equifax credit risk, Queensland resources policy and university law teaching. His doctoral research examines risks to project capital across mine-to-data-centre supply chains, including social-impact risk. This combination informs Arcanero’s approach to market behaviour, judgment and governance. Ron jointly designs the strategies and human decision controls with Nick.
NI
Nick Inglis
CTO & Co-Founder
Nick is Arcanero’s full-time CTO, with Electrical Engineering and Computer Science qualifications from the University of Queensland. He commenced computational-finance doctoral research in 2015 and researched statistical and machine-learning approaches to equity anomalies at Bond University’s Macquarie Trading Room. His experience includes senior data science at Queensland’s Crime and Corruption Commission and co-founding Avand, where he served as CTO before its acquisition by TechnologyOne. Nick leads Arcanero’s data, modelling and engineering work and jointly designs the investment strategies with Ron.
AS
Ankur Sinha
Fractional CFO
Ankur is a Chartered Accountant with a Master of Applied Finance and Law and Commerce degrees from Bond University. His career includes 13 years at PwC across infrastructure and M&A. He is currently with BDO and serves Arcanero as Fractional CFO, supporting financial discipline and commercial planning.

Stratera · Business intelligence

Decision intelligence for capital exposed to connected risks.

Stratera is being designed to analyse how financial, credit, supply-chain, geopolitical, regulatory and social-impact risks combine around major capital projects.

Protect project capital
Identify connected exposures capable of changing project economics, timing or viability.
Follow dependencies
Map mine-to-data-centre supply chains across industries, jurisdictions and critical operating relationships.
Connect the risk picture
Bring financial, geopolitical, regulatory, credit, supply-chain and social-impact factors into the same decision framework.

In research and design.

Discuss a Stratera Application

Contact

Request a private briefing.

Speak directly with Arcanero’s founders about the company, Arcanero Data, institutional applications, Momentus, Stratera or a strategic relationship.

Tell us briefly what you would like to discuss. The founders review every enquiry.

Request a company or investor briefing.
Discuss Arcanero Data or institutional market intelligence.
Enquire privately about Momentus, Stratera or a strategic relationship.

A brief description is enough.

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