DCA (dollar-cost averaging, trading-bot sense)

"Dollar-cost averaging" in investing means buying a fixed amount on a schedule, regardless of price — a boring, sensible habit for long-term index buyers. In the trading-bot world, the name got borrowed for something else entirely. Bot-DCA means averaging down into a position that's already losing: buying more as price falls, to drag the average entry price lower and closer to breakeven. Strip away the friendly acronym and what's left is martingale with a spreadsheet-approved name.

Mechanically it's simple. The position moves against the bot, the bot adds size, and it keeps adding until price ticks back far enough to close the whole stack in the green. Every add-on lowers the breakeven point, so a smaller bounce is enough to escape. That's the appeal, and it's also the trap: each add-on also increases the size of the position sitting underwater, so the eventual loss, if the bounce never comes, scales with every purchase made on the way down.

This is why bot-DCA systems post a deceptively high win rate. Almost every trade closes green, because the bot refuses to close red — it just waits, and adds, and waits. The losses don't vanish. They sit as open drawdown, hidden from the trade log, until the one time the market doesn't turn around, at which point a long run of small green trades gets wiped out by a single position that grew too large to survive.

We tested 76 of these systems alongside grid strategies, against real trading costs. All 76 failed. Not most. All. The averaging logic and the ladder logic fail for the same structural reason: both are short volatility, both assume the market reverts before size runs out, and both go broke exactly once, which is the only time it counts.

The market doesn't owe your average price a bounce. A strategy that always wins on paper is usually the one hiding its losses in trades it refuses to close, and bot-DCA is that trick wearing the most respectable name in retail investing.