Calculator
Median Final Balance
$385,912.81
Strategy Analysis
DCA $500/month for 25 years at 8% return produced a median balance of $385,912.81 — $235,912.81 above your $150,000 in total contributions. 97% of simulations were profitable, so this strategy is reliable but conservative — consider tilting the equity mix higher if your horizon is long.
Dollar Cost Averaging (DCA) is the practice of investing a fixed dollar amount at regular intervals — typically monthly or per paycheck — regardless of what the market is doing. Because the same dollar buys more shares when prices are low and fewer when prices are high, DCA automatically enforces a buy-low bias. It is the strategy behind automated 401(k) and IRA contributions, and the most friction-free way for a US retail investor to build long-term wealth. DCA's real power is psychological, not just mathematical. It removes the impossible task of timing the market: instead of agonising over whether today is the right day to invest a windfall, an automated contribution plan keeps the investor investing through crashes, peaks, and sideways churn. Studies of US 401(k) behaviour consistently show that automated DCA participants stay invested through bear markets while lump-sum investors frequently panic and sell. This calculator uses a Monte-Carlo simulation to show the realistic range of outcomes a fixed monthly DCA plan can produce — not a single deterministic number, but a spread of possibilities.
This calculator runs 500 simulated monthly-return paths. Each month two steps happen: (1) the fixed contribution is deposited at the start of the month, and (2) the entire balance then compounds for one month at a return equal to the expected monthly return plus a random Gaussian shock. The expected monthly return is annualReturn / 12; the monthly volatility is annualVolatility / sqrt(12), so a 16% annual volatility becomes about 4.6% monthly. A seeded pseudo-random generator (mulberry32 + Box-Muller) makes paths reproducible — the same inputs always yield the same percentile bands, so shared URLs show the same result. We report the median (50th percentile), 10th percentile (downside), 90th percentile (upside), the worst and best of the 500 paths, the plain average, and the Probability of Profit — the share of paths that end above the simple sum of contributions. DCA does not require the simulation to be valid (any single month's expected return is the same), but the simulation overlays realistic volatility on a DCA contribution schedule, which a single-rate future-value calculator cannot.
Head-to-head studies in US markets show that investing a windfall as a lump sum beats DCA about two-thirds of the time, because markets rise more often than they fall. But DCA's advantage is not return — it is behaviour. Investors who automate DCA stick with the plan through crashes; investors who wait for a 'better entry' frequently never invest at all. For the majority of savers without a large windfall, automated monthly DCA is the realistic choice, and the median balance it produces over a working career is what funds retirement.
DCA's real edge comes from buying more shares at lower prices. If you dial volatility down to 0% in this calculator, you remove that mechanism entirely and the result is indistinguishable from a deterministic future-value calculation. A volatile-but-rising asset class is precisely where DCA shines — equities with 15-20% annual volatility and 8-10% expected returns are the textbook DCA target.
Many employer plans let you auto-escalate contributions by 1% per year. Combined with cost-of-living raises, this 'step-up SIP' dramatically outperforms a flat-contribution plan over a 30-year career — this calculator's aggressive sample is meant to approximate the upper end of that trajectory. If your plan offers auto-escalation, take it.
The single biggest DCA lever is automation. Direct your 401(k) or IRA to pull contributions directly from each paycheck before the money hits your checking account. This removes both the decision friction and the temptation to time the market — over a working career the consistency matters more than any single contribution date.
Bear markets are DCA's favourite environment — your fixed contribution buys shares at a discount. When the S&P 500 drops 30%, a $500 monthly contribution buys roughly 43% more shares than it did at the peak. Run the calculator at 2009-style volatility to see how outsized your DCA balance can be after a rebound. Resist the urge to pause contributions during tough markets — the math explicitly rewards continuing them.
Before you model a taxable DCA plan, ensure you have captured the full employer 401(k) match — that is a guaranteed 50-100% return on contributions up to the match limit, and the highest-priority DCA dollar any US saver has. Any dollar not getting matched should go to a Roth IRA or HSA before funding a taxable DCA.
Alex automates $500/month into an equity fund from age 25 to 65 at an assumed 8% return and 16% volatility. Across 500 simulated paths the median balance is around $745,000, against total contributions of only $240,000 — the Probability of Profit is well over 95% on a 40-year horizon. The 10th percentile still totals more than $480,000, illustrating that even poor market sequences rarely end underwater for a long-horizon DCA.
Sam starts at 40 with $1,500/month at 10% return and 18% volatility over 25 years. The calculator shows a wide 10th-90th percentile band — about $2.0M to $3.6M with a median near $2.6M. The spread reveals that even a healthy later-career DCA plan has outcome ranges over half a million dollars wide depending on the actual market sequence, which is critical context for setting lifestyle expectations.
Jordan pauses DCA contributions for 18 months during 2008-2009 to 'wait for clarity', then resumes. Re-running the calculator with that 18-month gap shows the median balance drops by roughly $90,000 — the missing contributions bought at the cheapest prices of the cycle. The behavioural lesson is the most expensive part of pausing DCA in a downturn: you miss the exact months the strategy was designed to exploit.
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Financial Chaos Analyst
Ivy Sinclair-Wren is a Financial Chaos Analyst covering investing, AI, wealth psychology, and the emotional consequences of opening finance apps during market crashes. Based in Melbourne, she specializes in demystifying the US tax code and helping users navigate the intersection of spreadsheet logic and human irrationality.