Keen Tallimatic uses artificial intelligence to analyse large volumes of market data and surface strategies that have been tested against historical conditions. You review the recommendations and decide what to act on; the platform handles the analysis, not the decision.
Institutional investors have long used quantitative models to guide decisions. Most individual investors don't have the time, coding background, or data infrastructure to do the same. Keen Tallimatic was built to close that gap without requiring you to become a data scientist.
Model outputs are translated into clear summaries — what changed, why it matters, and what it might mean for your position — rather than raw statistical output.
Strategies run on infrastructure we maintain. There's nothing to install, configure, or debug on your end.
The platform surfaces analysis and recommendations. Every decision to act, hold, or ignore a signal remains yours.
Before any strategy is presented to users, it moves through a defined process. Understanding each stage helps you judge how much weight to place on the output.
The system ingests pricing, volume, and macroeconomic data from established market data providers, updated on a rolling basis.
Candidate strategies are run against historical data spanning multiple market cycles to assess how they would have performed.
Machine learning models identify patterns in current conditions and compare them against similar historical periods.
Live performance is tracked against backtested expectations, and strategies are flagged for review if they diverge materially.
Your account data and portfolio information are encrypted in transit and at rest. Keen Tallimatic handles personal information in line with the Australian Privacy Principles and does not sell client data to third parties.
The chart below is an illustrative example of how strategy output is presented — comparing a modelled strategy's historical return against a passive benchmark over the same period.
Illustrative example only. Figures are simplified for explanatory purposes and do not represent actual account results.
The platform is used both by individuals building passive income streams and by businesses that need repeatable, data-backed input into larger capital decisions.
Many users come to Keen Tallimatic wanting a second, data-informed opinion before committing savings to a strategy. Rather than interpreting raw charts, they receive a summary of how a given approach has historically behaved in similar conditions, then decide whether it fits their own risk tolerance and timeframe.
A retiree in regional New South Wales uses the platform to compare how a conservative income-focused strategy performed during past periods of interest rate change, before adjusting a portion of their portfolio.
Business users typically apply Keen Tallimatic where decisions involve larger sums or longer time horizons, such as treasury allocation or evaluating multiple investment options side by side. The value is consistency: the same backtesting logic is applied every time, reducing reliance on ad-hoc judgement calls.
A small logistics company in Brisbane uses the platform's scenario comparisons to decide how surplus operating cash might be allocated across several lower-risk instruments.
These cover the areas people typically want clarity on before using a data-driven platform for the first time.
No. The platform is designed so that model outputs are presented as readable summaries and comparisons. You don't need to write code, build spreadsheets, or understand the underlying statistics to use the recommendations.
No. Keen Tallimatic provides data analysis and modelled scenarios to inform your own thinking. It does not constitute personal financial advice under Australian law. If you need advice tailored to your circumstances, we recommend speaking with a licensed financial adviser.
Backtesting shows how a strategy would have performed under past conditions, using historical data. It is a useful reference point, but markets change, and future conditions may differ from anything in the historical record. Backtested results should be treated as one input among several.
Models draw on established market data providers covering equities, bonds, currencies, and macroeconomic indicators relevant to Australian and global markets. Data sources are reviewed periodically for quality and coverage.
Account and portfolio data are encrypted in transit and at rest. We handle personal information in accordance with the Australian Privacy Principles under the Privacy Act 1988 and do not sell client data to third parties.
Live performance is monitored against the original backtested expectations. If a strategy diverges materially, it's flagged for review, and this is reflected in the reporting you see, rather than hidden or smoothed over.
Still have a question? Visit the full FAQ page or contact our support team through the details listed there.
Setting up an account takes a few minutes. You can review historical strategy performance before committing to anything further.