DCA Optimizer
How DCA works, and why your plan numbers matter
Dollar-cost averaging (DCA) means investing a set amount on a regular schedule, such as every month, no matter what the price is. You stop trying to pick the perfect day, and you keep building a position over time.
Why people use DCA
When prices are lower, the same dollars buy more shares. When prices are higher, they buy fewer. Over time this spreads your entry across many prices instead of betting everything on one. It also takes some of the emotion out of investing, because the decision is made ahead of time.
Where plain DCA falls short
Plain DCA treats every month the same. A month when a stock is stretched gets the same contribution as a month when it is deeply discounted. Many long-term investors want a steady habit that still leans in when conditions are better.
What DCA Optimizer adds
DCA Optimizer uses a proprietary algorithm to label each month with a verdict, from 1X up to 4X, plus Light Trim and Strong Trim. The multipliers are multiples of your own baseline monthly contribution: if your baseline is $100, a 3X month suggests $300. They describe signal intensity, not how big a position should be in your portfolio. You still decide your baseline and your overall position size.
Why the plan numbers matter
Average months in 2X–4X. This shows how long a stock has historically tended to stay in its stronger buying zones. It helps you set expectations: a short window means opportunities can pass quickly; a long one means you may be buying more for a while, so budget for it.
Monthly buys. The plan lays out what each month's contribution would be at your baseline and the current multiplier, so you can see the cash you'd need before you commit.
Average cost. Buying more at lower prices pulls your average cost down. Watching it lets you compare where you're building versus where the stock trades.
Total plan. Adding the months together shows the full amount the plan would ask of you, so it fits your budget and risk tolerance.
Things to keep in mind
Verdicts use settled closing prices and update each weekday evening. Historical figures and backtests are hypothetical and don't predict future results. DCA Optimizer is decision-support software, not financial advice.