Can you time the market?
A short game with real historical S&P 500 and MSCI World data. Start with €1000, make up to 40 moves, and find out if your gut beats just buying on day one and holding.
This is the exercise every new investor wants to try: look at a chart, find the dip, buy the dip, sell near the top, repeat. It's also the exercise every experienced investor has quietly given up on — not because it's impossible in principle, but because with real data, on a real window, it's genuinely hard even when you know exactly what's happened.
The data underneath is real. S&P 500 daily closes come from the Federal Reserve (FRED) going back ten years; MSCI World uses the URTH ETF as a proxy from Yahoo Finance over the same period. Every time you click new game, the game picks a window at random, slightly biased toward jagged shapes — because a flat uptrend is boring and doesn't teach you anything. You won't know which window you're seeing.
You start with €1000 and up to 40 moves. The chart already shows two months of real history so you can try to read the shape and predict what comes next — which is exactly the mistake the game is built to expose. Dates are hidden while you play so you can't cheat by recognising famous windows. The baseline you're trying to beat is dead simple: spend your whole €1000 on day one, then do absolutely nothing. If your clever trading ends up below that, the market just taught you an expensive lesson.
How to read the result
At the end we show you two numbers: your portfolio and a buy-and-hold baseline. The baseline assumes you'd put all €1000 into the index on day 1 and just left it alone. If you beat the baseline, congratulations — on this window. Play again; the median outcome over many games is humbling.
The point isn't to make you feel clever or stupid. It's to build intuition for a specific fact: when you can see the whole graph, the dips look obvious. In real life you only see the left half of the chart, and the dip you're trying to catch might keep going, or it might have already ended two days ago and you'd be buying the top of a recovery. This game collapses that distinction and lets you feel it.
Why the biased sampling?
A uniformly-random three-month window is frequently a boring straight line in one direction. The game picks several candidates and keeps the one with the most path-deviation from a naive start-to-end line — so you're more likely to land on a window that contains a visible head-fake: a dip that recovered, a rally that gave back gains, a sideways grind with a last-day surprise. The underlying data is still real; we're just filtering for interesting real windows, the ones that actually teach something.
Where to go next
If the game convinced you that timing is hard, the compound interest calculator is the other side of the same coin: the boring "buy regularly and hold forever" strategy the market actually rewards. If you want to see what that boring strategy looks like as a concrete retirement plan, the FIRE calculator turns it into a number.
Data sources
- S&P 500 daily closes — Federal Reserve Bank of St. Louis, series SP500 . Free and citeable; the FRED terms allow redistribution.
- MSCI World (URTH ETF proxy) daily closes — Yahoo Finance, URTH . The URTH ETF is iShares' MSCI World tracker and is the closest free daily proxy for the index itself.