A betting system where you double your size after every loss — mathematically destined to blow up the account eventually.
Martingale is a position-sizing system that doubles your bet after every loss. The idea is that eventually you'll win, and the win will recover all prior losses plus the original profit target. On paper it sounds bulletproof. In reality it destroys accounts because losing streaks happen, and exponentially increasing size eventually exceeds your account.
The math: if you risk $100 and lose, then $200 and lose, then $400, $800, $1600... after just 7 losses in a row you need to risk $12,800. Most retail accounts can't survive a 7-loss streak in any normal strategy. A 10-loss streak (which happens regularly) needs over $100,000 to recover.
Martingale gives traders a false sense of security because most martingale runs WORK for a while. The system has a high success rate per cycle — but every time it fails, the failure is total. The expected value over many cycles is negative.
Countless retail traders blew up accounts in 2020-2024 using martingale grid bots that promised 'guaranteed profit.' Most worked for 3-6 months before the market trended against them and wiped out years of gains in a single drawdown.
Frequently asked about martingale
What is a martingale in trading?+
A betting system where you double your size after every loss — mathematically destined to blow up the account eventually.
When will I see martingale used in real trading?+
In Forex Telegram groups, sketchy bots, and most casino-style scams. Martingale is the classic "too good to be true" system.
What is the most common mistake traders make with martingale?+
Falling for the apparent reliability. Martingale wins 90% of the time and loses 100% the other 10% — net expected value is catastrophic. The math always wins eventually.
What do experienced traders know about martingale that beginners don't?+
Anyone selling a martingale system is selling you eventual ruin. Run from any strategy that doubles size after losses. Use anti-martingale (smaller size after losses) instead — or just use fixed fractional sizing.
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