Low cost. Well diversified. Patient. See how the maths behind steady, long-term investing works — and test it yourself with quantitative tools built on real market and economic data, for both ASX and US securities.
Every market cycle brings a fresh wave of “quick win” stories. What tends to last is far less exciting: keep costs low, spread risk widely, and give time room to work. The tools here let you look at that with real historical data instead of taking anyone’s word for it.
A small annual fee, repeated for decades, takes a real share of the growth. Low-cost, broad funds keep more of it working for you.
Holding many businesses, sectors and countries means no single disappointment decides the outcome. The maths for measuring this is real and testable.
Instead of one forecast, simulate thousands of possible paths and see the spread — including the bad ones — so expectations stay realistic.
Long-term portfolios are usually built from a few simple pieces. Here is what each does — general education, not a recommendation of any product.
One fund holding hundreds of companies at low cost — the diversified core of many long-term portfolios, in Australia and the US.
Large, established businesses, often paying dividends (and, in Australia, franking credits). Steadier than small growth stories, though never risk-free.
Money set aside so you are never forced to sell investments at a bad time to cover life’s surprises.
An optional, deliberately limited slice for higher-risk ideas, so a wrong call cannot sink the whole plan.
The Starter Portfolio Allocator and Ballast Core show how a quantitative model would spread money across these building blocks. General information only — it does not take into account your objectives, financial situation or needs.
These are the four things people worry about most right now. Here is what each one does to markets in general terms, and which tool watches it. None of this is a prediction.
Inflation erodes the buying power of cash and pushes interest rates around, which moves share and bond prices.
Energy price jumps flow into transport, food and company costs — and hit some sectors and countries harder than others.
Geopolitical events can move commodities, currencies and confidence together, so assets that usually move separately can fall at once.
Some institutions see AI adoption as a possible source of productivity gains. Others stress the uncertainty. It is an open question, not a settled one.
Figures below are taken from each institution’s own published outlook, retrieved 24 September 2026. Australia-specific numbers are shown where the institution publishes them. Always check the source for the latest edition.
| Source | What it says | Detail |
|---|---|---|
| World Bank Global Economic Prospects, June 2026 | Global growth slows in 2026, then firms in 2027–28. | Global growth projected at 2.5% in 2026, as the Middle East conflict lifts energy prices. Risks tilted to the downside; broader AI adoption listed as a possible upside. |
| IMF World Economic Outlook — Australia | Growth around 2%; inflation elevated in 2026, then easing. | GDP growth 2.0% (2026), 1.7% (2027), 1.9% (2028), 2.1% (2029). Inflation 4.0% (2026), 3.2% (2027), 2.6% (2028), 2.5% (2029). Unemployment about 4.2–4.4%. |
| OECD Economic Outlook — Australia | Modest growth; inflation peaks in 2026. | GDP growth about 1.9% (2026) and 1.8% (2027). Inflation about 4.4% (2026), falling to about 2.6% (2027). Unemployment rising from about 4.5% to 4.6%. |
| Reserve Bank of Australia Statement on Monetary Policy, August 2026 | Inflation stays above target for some time. | Cash rate left unchanged at 4.35%. Inflation not expected to return to the middle of the target range until early 2028; unemployment expected to rise gradually. |
Where they agree: modest growth of around 2% for Australia, inflation peaking in 2026 and easing by 2027–28, and downside risks from energy prices and geopolitics. Forecasts are revised regularly and are often wrong — they describe what institutions expect today, not what will happen. More sources (including US outlooks) are being added.
Nobody can reliably time the market. Investing a set amount regularly means you buy more when prices are lower and less when they are higher, and it removes the pressure to guess the “right moment”. It does not remove risk or guarantee a result — but it replaces prediction with a routine, and that is easier to stick with.
Run the same regular-contribution idea through historical data and Monte Carlo paths, and see the range of outcomes rather than one number.
Tax settings, super rules and fringe-benefit treatment can change between budgets, and they differ between Australia and the US. Check the current rules before acting.
Each is built on real statistical methods and real market and economic data, and covers both ASX and US securities where it applies.
Robust portfolio optimisation, regime-aware analysis and honest backtests.
Relative-strength and macro-regime screening for ASX and US markets, plus a portfolio tracker.
Leading-indicator research — yield curve, credit spreads, the Sahm Rule — in one early read.
Commodity signals, macro regime tracking, shock scenarios and a critical-minerals dashboard.
A tax-aware core-and-satellite builder with Monte Carlo optimisation and full backtests.
An illustrative model allocation for people new to investing.
Live intraday analytics and a snapshot view of any security.
Plain-language explainers on regime-switching, robust optimisation, diversification and more.
We are a small independent team building this in the open. Founding members get full access while the family grows — and help keep it independent.
Founding-member price for our first 3 months. The price for new members may increase after that.
Payments are handled by Buy Me a Coffee. After you join, you will be set up with an account.