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Why Martingale Position Sizing Fails and What to Use Instead

The equity curve looks beautiful right up until the sequence that ends the account. Here is the ruin math on doubling into losers, and what to size by instead.

The thing that gets people about martingale is that it works most of the time, and most of the time is exactly the wrong sample to judge it by. You double your size after every loss, so a single win recovers everything you lost plus one unit of profit. On a chart, that produces the prettiest equity curve you will ever see. It goes up in a nearly straight line, small and steady, day after day. Then one afternoon it goes to zero, and the drop is so vertical it barely registers as part of the same picture. The smoothness is not a side effect. It is the bait.

I want to walk through why the ending arrives sooner than intuition says, because the gap between how it feels and how the math actually behaves is the whole story. Once you have seen the sequence written out, grid bots and recovery bots stop looking clever and start looking like a countdown.

Run the sequence out

Say you risk one unit and double after each loss. Trade one is one unit, trade two is two, trade three is four, then eight, sixteen, thirty two. Your total exposure after n losses in a row is not n units, it is roughly two to the power of n. After ten straight losers you are trying to put on a position more than a thousand times your starting bet, just to claw back to slightly positive. Most accounts and most exchange limits die well before that, which means you do not actually get to complete the recovery. You get stopped out mid-sequence, and the sequence is where all the losses live.

Now the part people underweight. A run of losses long enough to end you is not a freak event you can wave away as bad luck. If each trade wins with probability p, a losing streak of length k shows up with probability roughly (1 minus p) to the power of k, and you get many chances at it over a few hundred trades. Even a coin flip strategy will hand you a run of eight or nine losers if you trade often enough, and it will do it a lot faster than the word rare suggests. The strategy is not betting that you avoid the bad streak. It is betting you retire before the bad streak finds you, and that is a race you do not control the clock on.

The cruel detail is that martingale front-loads the small wins and back-loads the one catastrophic loss. So your track record looks better and better right up to the moment it becomes worthless. A 95 percent win rate with a martingale sizing scheme is not evidence the system is safe. It is exactly what a system that is about to blow up looks like from the inside.

Why grid and recovery bots are the same trade in a costume

Grid bots and so called recovery or averaging bots are martingale wearing different clothes. A grid that adds larger and larger buys as price falls is doubling into a loser. A recovery bot that increases lot size to make back a drawdown is doubling into a loser. They all share the same fatal shape, which is that risk grows precisely when the position is already wrong. Trend, gap, or a market that simply keeps going one direction longer than your account can fund, and the additive layers stop being a clever entry and become a margin call.

Here is the tell I look for when someone shows me a bot with a suspiciously clean curve:

  • Position size increases after a loss rather than after a win. That is the martingale core, whatever it is called.
  • The strategy has no fixed, pre committed maximum loss per sequence. If there is no hard floor, the floor is your whole balance.
  • The marketing leans on win rate or number of consecutive profitable days, and stays quiet about worst historical drawdown.
  • Backtests are short or cover only a calm regime. The blow up needs a bad run to express itself, so a gentle sample hides it.

If two or more of those are true, you are not looking at an edge. You are looking at a leverage schedule that pays you a little to hold a bomb.

Size up on winners, not losers

The honest inversion is anti martingale. Instead of increasing size after a loss, you increase after a win and cut after a loss. The logic flips cleanly. When you are wrong, your bets shrink, so a losing streak bleeds you slowly instead of accelerating. When you are right and possibly in a favorable regime, your bets grow, so you press an advantage while it lasts. The equity curve is uglier and choppier than martingale, and that ugliness is the sound of survival. You will have losing stretches that look bad and feel bad, but none of them are structured to end you.

The more boring and more useful tool is fixed fractional sizing. You risk a fixed percentage of current equity on each trade, commonly something small like one or two percent. Because it is a percentage of what you have right now, position size falls automatically as the account draws down, which makes ruin mathematically very hard to reach through normal losing. You would have to lose the same fraction over and over, and each loss makes the next bet smaller. It is the opposite failure mode from martingale, where each loss makes the next bet bigger.

A practical way to set it up:

  1. Decide a maximum loss per trade as a percent of equity, and keep it small. One percent is a reasonable default, two if you have real conviction in the edge.
  2. Derive position size from that risk and your stop distance, not from how confident you feel. Size is an output, not a mood.
  3. Recompute off current equity every trade, so sizing shrinks in drawdowns and grows only as the account genuinely recovers.
  4. Set a hard per day or per sequence loss limit and actually stop when you hit it. This is the guardrail martingale deliberately removes.

The test that separates the two

Before you trust any sizing scheme, simulate it against a losing streak longer than any you have personally lived through. Take your rules, force feed them ten or twelve consecutive losers, and read the account balance at the end. A fixed fractional book is bruised but alive. A martingale book is a crater. That single stress test tells you more than a year of live results during a calm market, because live results only ever sample the streaks that happened to occur, not the ones that were always going to.

This is also why I care about seeing worst case drawdown rather than headline win rate when I evaluate a strategy, and it is part of what the backtesting and scorecard tools inside Blockcircle are built to surface. A strategy that has never met its bad streak has not been tested. It has just been lucky in a specific window, and luck in a specific window is exactly what martingale is engineered to manufacture right before it takes it all back.

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Équipe Blockcircle

Intelligence des marchés financiers couvrant crypto, actions, matières premières, métaux précieux et marchés de prédiction.