Anti-Martingale
Also known as: reverse martingale, pyramiding, positive progression, anti martingale
What is it?
Anti-Martingale is a position-sizing approach that does the opposite of the classic martingale: you increase your size after a winning trade and cut it back after a losing one, so you press hard while a strategy is hot and shrink your exposure while it is cold. The idea is to let winning streaks compound and keep losing streaks cheap. For example, you might risk 100 dollars on the first trade, and after a win raise the next risk to 150 dollars, then 200 dollars while the run continues; the moment a trade loses, you reset back to the 100 dollar base.
| After each trade you... | Anti-Martingale (size up on wins) | Martingale (size up on losses) |
|---|---|---|
| After a WIN | Raise the next stake | Reset to the base stake |
| After a LOSS | Reset to the base stake | Double down to chase it back |
| Streak example ($100 base) | Win 100 → win 150 → lose at 200, reset to 100 | Lose 100 → lose 200 → lose 400, stake balloons |
| What a cold patch costs | Stays cheap — you scale only with profits won | Gets expensive fast — size grows into the losses |
| The real trade-off | A reversal at the peak gives back much of the run | One long streak can wipe the account |
Because you are only adding size with money the market has already handed you, a cold patch costs you far less than the same losing streak would under a martingale, where size balloons after losses. The trade-off is real: a single sharp reversal at the top of a streak can give back much of what the run earned, since your largest position is on the table exactly when momentum turns. Beginners often abandon the rule after one bad reset and start sizing up on a hunch instead, which quietly turns a disciplined plan into emotional betting.
Anti-Martingale works best when paired with a fixed reset rule, a hard cap on how far you let size escalate, and an edge that genuinely tends to cluster wins. Historical or backtested behaviour of any progression is an estimate, not a promise of future results, no method is risk-free, and your capital is at risk on every trade.
Why it matters: Anti-Martingale concentrates your risk into the runs you are already winning and starves the runs you are losing, which is the safer way to scale aggression.
Next risk = base risk x escalation factor after a win; reset to base risk after a loss
Position sizing decides how much each streak gains or loses, so the rule directly shapes equity-curve swings.
Real-world example
Risking 100 dollars, you win and raise to 150, win again to 200, then lose and reset to 100 - the loss lands on a smaller stake than the wins were built on.
How SignalBots handles it
When SignalBots automation fires signals through the MT4/MT5 Connector, TradingView webhooks, or browser extensions, an anti-martingale size rule can scale each fill consistently and without hesitation; any progression is a historical estimate, so review the /risk-warning before scaling size.
Pro tip
Set a firm ceiling on how many steps you let size climb so one reversal at the peak cannot erase the whole streak.
Common pitfalls
Removing the reset rule after a painful giveback and sizing up on intuition instead, which turns the system into emotional gambling.
Frequently asked questions
How is anti-martingale different from martingale?
Martingale increases size after losses to chase a win back, which makes a losing streak dangerously expensive. Anti-martingale does the reverse: it increases size after wins and cuts size after losses, so cold streaks stay cheap.
Is anti-martingale safer than martingale?
It is generally less likely to blow up an account because you only scale up with profits the market already gave you, not with deeper losses. It is still not risk-free, and a sharp reversal at the top of a streak can give back much of the gains.
How much should I increase size after a win?
There is no universal number; many traders use a small step such as 25 to 50 percent more per win, with a hard cap on total escalation. The right factor depends on your edge and how much drawdown you can tolerate, and your capital is at risk either way.
When do I reset back to my base size?
The simplest rule is to reset to your starting risk the moment a trade loses. A clear, mechanical reset is what keeps the method disciplined rather than emotional.
Does anti-martingale work for binary options and crypto too?
The sizing logic applies to any market where you control stake or position size, including binary options and crypto. It works best where your edge tends to produce clustered wins, but past behaviour is only an estimate and never a guarantee.
Trading involves substantial risk of loss. Historical and backtested results do not guarantee future performance. Read the full risk warning.