Dca Dollar Cost Averaging
A step-by-step walkthrough of the dca dollar cost averaging strategy with practice on the free $100,000 simulator.
What it is
Buying a fixed amount on a fixed schedule, regardless of price.
Dollar-cost averaging removes the hardest variable in investing: timing. By committing a fixed amount on a fixed schedule you automatically buy more units when prices are low and fewer when they are high, and you never have to form a view about the next three months. Academic work generally finds lump-sum investing beats DCA on average expected return simply because markets rise more often than they fall — but DCA wins on behaviour, and behaviour is what determines whether someone is still invested after a 30% drawdown.
Market conditions that matter
It is designed for broad, diversified, long-lived assets — a total-market or S&P 500 index fund, and for those who accept the volatility, a small allocation to a major crypto asset. It is not designed for single stocks, leveraged products, or anything that can go to zero, because averaging into a permanently impaired asset just buys more of a losing position.
Best suited to
Long-term investors, beginners, anyone who can't predict the market (i.e. everyone).
Badly suited to
Active traders who think they can time bottoms.
The steps
- Pick one or two long-term assets (e.g. SPY, BTC).
- Decide an amount you can commit weekly or monthly.
- Buy it on the same day every period — no exceptions.
- Never sell on red days; rebalance once a year at most.
- Track total return on TradeHQ's portfolio analytics to see compounding in action.
Worked example
$100 into SPY every Friday for 10 years has historically outperformed 80% of active retail traders.
The numbers behind it
$500 a month for 20 years at an 8% annualised return contributes $120,000 of capital and ends near $295,000, so roughly 60% of the final balance comes from compounding rather than contributions. Raise the horizon to 30 years and contributions become a minority of the outcome entirely. Model your own numbers with the compound calculator on the learn pages before deciding a monthly amount.
How it fails
- Pausing contributions during a crash. That is precisely when the schedule is buying the cheapest units; stopping converts a mechanical plan into market timing.
- DCA-ing into a single speculative name and calling it investing. The method assumes the underlying asset recovers over long horizons — that assumption holds for a diversified index, not for one company.
- Checking the balance daily. The plan works on a horizon of years; daily monitoring only increases the chance of abandoning it.
Practising it safely
Run this method for at least thirty simulated trades with fixed sizing before judging it, and record every trade in the journal. A handful of winners proves nothing. Educational simulation only — not financial advice.
Educational simulation only — not financial advice. TradeHQ is a free educational paper-trading simulator. No real money is traded and no content here is a recommendation.