Martingale strategy risk comes from increasing position size after losses: in a doubling sequence, the next size after six losses is 64 times the starting size. A grid places entries at multiple price levels and can accumulate losing exposure while waiting for a reversal. Neither approach removes losses. Finite capital, margin requirements and trading costs can end the sequence before the recovery it assumes.
This guide is part of the forex risk management library. The distinction matters: martingale describes a sizing rule; grid describes how entries are distributed. A system can use either, both or neither.
Martingale and grid risk at a glance
Scroll horizontally to read every column.
| Mechanism | What changes | Where the risk accumulates |
|---|---|---|
| Classic martingale | The stake doubles after each loss, then resets after a win. | The next stake grows exponentially while previous losses remain realised. |
| Fixed-size averaging grid | Another equal-size entry opens after an adverse price interval. | Open volume grows; earlier entries become more deeply underwater. |
| Grid with increasing sizes | Later grid entries are larger. | Both aggregate exposure and sensitivity to further price movement increase. |
| Finite sequence | A capital, size or loss limit stops further additions. | The unfinished recovery becomes a loss that must remain in the record. |
The examples below define specific mathematical models, not every product marketed as a grid or martingale EA. A breakout grid can add with a move instead of against it. Fixed-size entries do not follow the doubling formula.
How does the martingale doubling formula work?
Let b be the first stake in currency and n the number of consecutive losses already taken. Assume each attempt either wins or loses its full stake, with equal-sized wins and losses before costs.
Next stake after n losses = b × 2n
Accumulated loss after n losses = b × (2n − 1)
Accumulated loss plus next stake = b × (2n+1 − 1)
The loss formula is the finite geometric sum b + 2b + 4b + … + b × 2n−1. The geometric-series identity and independent-event probability rules are standard mathematics.[1] A win at the next doubled stake exceeds all previous losses by exactly b, under these assumptions.
Doubling lots gives the same stake progression only if loss per lot stays constant. Different stop distances, pip values, fills or costs break that equivalence. The position sizing methods guide separates lots from the currency loss planned at a stop.
Worked example: six losses and the next required stake
Illustrative numbers, not a recommendation or a strategy result. The first stake is 10 USD. Each losing attempt closes before the next opens. The final column is the money lost plus the amount that must still be available to fund one more full stake.
| Losses already taken | Next stake | Loss so far + next stake |
|---|---|---|
| 0 | 10 USD | 0 + 10 = 10 USD |
| 1 | 20 USD | 10 + 20 = 30 USD |
| 2 | 40 USD | 30 + 40 = 70 USD |
| 3 | 80 USD | 70 + 80 = 150 USD |
| 4 | 160 USD | 150 + 160 = 310 USD |
| 5 | 320 USD | 310 + 320 = 630 USD |
| 6 | 640 USD | 630 + 640 = 1,270 USD |
After six losses, the original 10 USD stake has produced 630 USD of realised losses. The next stake is 640 USD. A successful seventh attempt would leave 640 − 630 = 10 USD before costs; a seventh loss would take the cumulative loss to 1,270 USD.
Past loss is not current exposure. In this model, the losing positions have closed. If instead an averaging grid keeps sizes q, 2q, 4q and so on open, aggregate same-direction volume after n additions is q × (2n+1 − 1), including the initial entry. Floating loss must be calculated separately from each entry price.
Why can many small wins coexist with a large loss?
Consider a capped version of the model: at most six attempts per cycle, stopping after the first win or the sixth loss. Assume independent attempts with a 50% loss probability and no costs. Each successful cycle ends at +10 USD; a failed cycle ends at −630 USD.
Probability of k consecutive losses from a specified start = Lk
L is the loss probability per attempt. Here, six losses have probability 0.56 = 1/64 = 1.5625%. A cycle therefore succeeds with probability 63/64 = 98.4375%. The expected cycle result is (63/64 × 10) − (1/64 × 630) = 0 USD before costs.[1]
The high percentage describes winning cycles, not winning trades. One failed cycle cancels 63 successful cycles before costs. Positive transaction costs make the expected result negative in this fair-payoff illustration.
Repeating the opportunity changes the probability. Across 100 independent cycles, each funded for all six attempts, the probability of at least one failure is 1 − (63/64)100, about 79.3%. That is a property of this hypothetical model, not an estimate for a trading account.
The losing streak probability guide distinguishes one specified starting point from a whole sample. Risk of ruin additionally needs a failure boundary, capital, sizing and a time horizon. A failed cycle, a broker stop out and an account reaching zero are different boundaries.
How does grid trading risk differ from martingale risk?
An averaging grid can increase risk without doubling anything. Suppose an illustrative long grid holds one unit bought at 100, another at 90 and another at 80. Ignore costs and assume each price unit equals 1 USD per position unit.
At a price of 70, the three floating losses are 30, 20 and 10 USD, totalling 60 USD. The average entry is 90, but the account now holds three units. A further one-unit price fall loses another 3 USD rather than the original position's 1 USD.
A lower average entry can bring the basket's break-even price closer while increasing the loss from any further adverse move. Those facts can both be true. The volume-weighted average describes the recovery price; it does not describe whether the account can remain open until that price trades.
In MT5, the account's netting or hedging mode changes how additions appear. Netting combines same-symbol exposure into one position; hedging permits separate positions.[2] Counting tickets alone therefore cannot establish the economic size of a grid. The correlated exposure and portfolio heat guide extends the account-level view across symbols.
How do margin and stop out interrupt a recovery sequence?
Margin level % = equity ÷ used margin × 100
As of 25 September 2026, MT5's Trade tab reports equity, margin and margin level. Floating losses reduce equity. Where extra same-direction exposure increases used margin, the account can suffer both a falling numerator and a rising denominator.[3]
Illustrative: equity of 8,000 USD against used margin of 2,000 USD gives 400%. If equity falls to 7,000 USD and used margin rises to 3,000 USD, margin level becomes about 233.3%. Neither percentage is a recommended threshold.
MetaQuotes documents margin-call and stop-out levels that can be expressed in percent or money. Stop-out closing is processed on the broker's server; it does not wait for a strategy's planned recovery.[4][3] The margin call and stop-out guide explains why a funding shortfall can block an additional entry before existing positions are liquidated.
Why can a long backtest still hide the failure mode?
- Closed results omit unfinished baskets. Read open loss and equity alongside closed-trade results. A test ending before a basket closes must still account for its remaining exposure.
- More years do not create every adverse path. A long sample may contain no sustained move large enough to exhaust the chosen capital. Absence of that event is not its probability.
- Fill assumptions affect additions and exits. TradingView's broker emulator uses chart data and assumed intrabar price paths by default. A grid can be sensitive to the order in which levels are crossed.[5]
- Costs and funding must be represented. TradingView documents commission, slippage and simulated margin. Its margin model describes the simulation, not the receiving broker's account rules.[5]
A useful falsification case is a one-direction price move through every permitted addition, followed by an attempted extra entry with insufficient funding. The test should show the remaining positions, open loss and rejected request. A summary of completed winning baskets cannot answer those questions.
What does a martingale EA or PineConnector change?
An Expert Advisor can implement supplied sizing and entry rules; that does not change the arithmetic. For a TradingView route, distinguish the condition becoming true, the alert triggering, webhook delivery, PineConnector processing, the EA's order request, broker acceptance, the deal and the resulting position.[6][2]
As of 25 September 2026, PineConnector's converter documentation states that its integration does not reproduce TradingView's position sizing. Broker stops and targets added through the converter operate separately, and the adapter does not resynchronise simulated and broker positions.[7]
A next-size calculation based only on simulated losses can therefore disagree with the receiving account. Automatic reconciliation of an arbitrary martingale or grid state is not documented; test on demo. A broker-side stop is also different from a basket exit that exists only in strategy logic. MT5 documents accepted stop-loss and take-profit levels as server-side instructions.[3]
Frequently asked questions
Why does martingale trading fail?
A martingale sequence can fail when the next required stake exceeds available capital, margin capacity or a permitted size limit. After n losses, the next doubled stake is 2 to the power n times the first stake. A finite account cannot fund unlimited additions. Costs and unequal trading payoffs also break the simple recovery arithmetic.
Is every grid trading strategy a martingale?
No. A grid distributes entries across price levels; a martingale increases the stake after losses. A fixed-size grid does not double position size, although an averaging grid can still accumulate exposure during an adverse move. A grid that also increases later entry sizes combines two mechanisms and needs both its total open volume and floating loss measured.
Does a high martingale win rate mean low risk?
No. A martingale's winning-cycle rate can be high while a failed cycle loses much more than each successful cycle earns. In an illustrative six-attempt, even-payoff model, a 630 USD failed cycle offsets 63 successful 10 USD cycles before costs. A winning-cycle percentage also uses a different denominator from a winning-trade percentage.
Can a martingale EA remove the risk of ruin?
An EA can execute a defined sizing sequence, but software does not remove its capital requirement. Assessing risk of ruin requires a stated failure boundary, available capital, position sizing and a horizon. A backtest or successful alert does not establish that the receiving broker will accept the next order or keep the existing positions open.
Reviewed 25 September 2026. Facts were checked against the linked sources on that date. Nothing in this article was tested on a trading account and no code was compiled.
Related reading
- Forex risk management library
- Position sizing methods
- Correlated exposure and portfolio heat
- Risk of ruin and the failure boundary
- Margin level, margin call and stop out
Sources
- MIT – Mathematics for Computer Science: sums, probability and expectation, accessed 25 September 2026.
- MetaQuotes – Basic principles: orders, deals, positions and account systems, accessed 25 September 2026.
- MetaQuotes – Executing trades: account state and server-side stops, accessed 25 September 2026.
- MetaQuotes – Strategy testing: custom trading account settings, accessed 25 September 2026.
- TradingView – Strategies: broker emulator, costs and margin, accessed 25 September 2026.
- PineConnector – Test your setup, accessed 25 September 2026.
- PineConnector – Pine Script converter, accessed 25 September 2026.
PineConnector executes the instructions you send it. It does not select trades, manage money, or hold funds. Trading carries risk, and past performance of any strategy does not indicate future results.
