Information and educational document

Why many trading systems fail.

Martingale, Grid and the question of whose interest a strategy actually serves: a factual assessment of the market and of Solution Flow's approach.

Last updated: September 2026 · Version 4.0 · Publisher: Solution Flow, Singapore

01 — BACKGROUND

The reality of the market

Anyone looking for an algorithmic trading strategy today will find a wide range on offer. Many systems advertise high win rates and seemingly proven mechanisms. At first glance, they are difficult to tell apart.

Based on our long-standing observation of the market, a very large share of the copy-trading strategies on offer is based on just two basic mechanisms: Martingale and Grid. This assessment is based on our own observation and does not claim statistical representativeness: it reflects what is regularly observed in practice.

The structural problem: The decisive point does not lie in the trading logic alone, but in the business model behind it. For many providers, remuneration is not tied to the user's result, but to order volume. The more trades are executed, the higher the spreads, swaps and volume-based remuneration, regardless of whether the user's account ends up in profit or in loss.

This document explains how the two most widespread mechanisms work and their known risks, and sets out the approach Solution Flow follows instead. It does not evaluate individual providers, does not make any recommendation, and does not make any statement about future results.

02 — MECHANISM

Martingale: how the system really works

The Martingale principle dates back to the 18th century and was originally developed as a betting strategy. The idea is simple: after every loss, the stake is doubled until a win occurs and offsets all previous losses. In trading, this principle is applied to position sizes. In the short term, this can work, provided enough capital is available and no extended losing streak occurs. That is exactly where the problem lies.

ERFORDERLICHE POSITIONSGRÖSSE NACH N VERLUSTEN IN FOLGELogarithmische Skala · Verdopplung nach jedem Verlust012316×432×564×6128×7256×8512×91.024×10Verluste in FolgeERFORDERLICHE POSITIONSGRÖSSENACH N VERLUSTEN IN FOLGELogarithmische Skala · Verdopplung nach jedem Verlust0123416×532×664×7128×8256×9512×101.024×n = Verluste in Folge
The required position size for the next trade grows by 2ⁿ. After ten consecutive losses, it equals 1,024 times the initial stake; the cumulative stake up to that point already amounts to 2,047 times the initial stake.

The mathematical reality: No real account can sustain this development indefinitely. In the classic implementation, there is no stop-loss, no automatic loss limit and no protective mechanism. A single unfavourable market phase can be enough to wipe out the account completely. On top of that: even with theoretically sufficient capital, the broker's margin requirements and maximum position sizes take effect much earlier in practice.

Who earns from this: Martingale systems generate very high order volume with exponentially growing position sizes. Every trade incurs spreads, swaps and commissions. In addition, many providers receive volume-based remuneration from the broker, typically in the range of about USD 3 to 15 per lot traded. Brokers and providers earn their revenue from trading volume, regardless of whether the user ultimately profits or loses capital.

03 — MECHANISM

Grid: structurally attractive, risky in the long run

Grid strategies follow a different principle: buy and sell orders are placed at regular intervals above and below the current price. The underlying assumption is that in any market movement, some position can be closed at a profit.

In sideways markets, this actually works and produces a deceptively high win rate. However, as soon as a sustained trend sets in, the number of open losing positions grows without control. Without a stop-loss, there is no brake. Some copy-trading platforms explicitly prohibit Grid strategies for exactly this reason.

KapitalverlustMartingale / Grid (schematisch)Regelbasierter Ansatz mit begrenzten Rücksetzern (schematisch)Zeit →KapitalverlustZeit →Martingale / Grid (schematisch)Regelbasierter Ansatz mit begrenztenRücksetzern (schematisch)
Purely schematic illustration of the typical pattern, deliberately without scale values. It shows no actual results, no simulation and no forecast. Martingale and Grid curves appear stable over longer periods, until an unfavourable market phase leads to a total loss of capital. Solution Flow's strategy software is designed for a controlled curve with limited pullbacks, and this curve too explicitly includes periods of loss.
  • The longer a trend continues, the more open positions accumulate on the wrong side.
  • The account is burdened by ongoing unrealised losses, without any automatic protective mechanism taking effect.
  • Grid systems generate a very high number of trades per year, and with that, high volume-based revenue for brokers and providers.
  • The performance history looks good during calm market phases, until the first strong trending move occurs.
04 — BUSINESS MODEL

Who earns from what?

The decisive difference between Martingale or Grid and Solution Flow's strategy software does not lie solely in the trading methodology, but in the revenue logic behind it.

MARTINGALE / GRIDSOLUTION FLOWSehr hohe OrderfrequenzSpreads · Swaps ·Volumenvergütung (3–15 USD/Lot)Anbieter verdient —unabhängig vom ErgebnisBewusst niedrige OrderfrequenzRealisierter Gewinnüber der High Water MarkAnbieter verdient —nur bei KundengewinnMARTINGALE / GRIDSehr hohe OrderfrequenzSpreads · Swaps ·Volumenvergütung (3–15 USD/Lot)Anbieter verdient —unabhängig vom ErgebnisSOLUTION FLOWBewusst niedrige OrderfrequenzRealisierter Gewinnüber der High Water MarkAnbieter verdient —nur bei Kundengewinn
Left: revenue is generated from trading volume; the interests of provider and user are structurally opposed. Right: revenue is generated exclusively from realised profits above the previous high-water mark; the interests are structurally aligned.
Revenue sourceMartingale / GridSolution Flow
Spreads and swapsHigh and frequent, primary revenueLow, limited by low order frequency
Volume-based remuneration, broker → providerTypically USD 3–15 per lotNone
Performance fee, user → providerSecondary or non-existentSole source of revenue
High-water markHardly relevantConsistently applied
Provider / user interestsStructurally opposedStructurally aligned

Solution Flow's core principle: Solution Flow only receives remuneration when a realised profit above the previous high-water mark arises on the user's account. There are no volume-based fees, no kickbacks from the broker and no hidden revenue. The only revenue is the performance share on a high-water-mark basis.

05 — APPROACH

Solution Flow's approach

A Martingale logic can be developed and programmed within a few days. The logic is simple; the risks are known. Solution Flow's strategy software, by contrast, is based on more than seven years of development, research and optimisation using real market data.

Martingale-Logikin wenigen Tagen programmiertStrategie-Software von Solution Flowüber 7 Jahre Entwicklung, Forschung und Optimierung auf realen MarktdatenMartingale-Logikin wenigen Tagen programmiertStrategie-Software von Solution Flowüber 7 Jahre Entwicklung, Forschung undOptimierung auf realen Marktdaten
The goal was not to generate as many trades as possible or to produce eye-catching short-term metrics, but a strategy that remains stable even in difficult market phases and whose risks are clearly defined and controllable.
  • No Martingale, no Grid. Every position has a clearly defined stop-loss and take-profit.
  • Deliberately low order frequency. On average, only a few trades are executed per day instead of thousands per year.
  • Multi-logic. Several sub-strategies are automatically combined and adjusted depending on the market phase.
  • No arbitrary interventions. The software follows fixed rules, without after-the-fact rescue manoeuvres.
  • Pure performance share. Remuneration exclusively from realised profits on a high-water-mark basis, the only revenue for Solution Flow.

What Solution Flow is not: Solution Flow does not provide financial services within the meaning of investment advice, portfolio management or financial intermediation. Solution Flow is not a broker and does not manage client funds. Access to trading and copy-trading systems is obtained at the user's own responsibility via external, licensed and regulated partner platforms.

06 — RISK ARCHITECTURE

The three layers of protection

While Martingale and Grid logics allow risk to grow without limit with every losing streak, Solution Flow's strategy software is actively safeguarded on three levels. This architecture is firmly embedded in the software.

3 · Multi-Logik — automatische Anpassung an die Marktphase2 · Break-Even — Stop-Loss wird in die Gewinnzone nachgezogen1 · Stop-Loss — festes Verlustlimit je TradeIhre Position3 · Multi-Logik — automatischeAnpassung an die Marktphase2 · Break-Even — Stop-Loss wirdin die Gewinnzone nachgezogen1 · Stop-Loss — festesVerlustlimit je TradeIhre Position
Three protective layers around every position: the stop-loss limits the loss per trade, the break-even mechanism secures profits already achieved, and the multi-logic automatically adjusts the sub-strategy to the market phase.

In their classic implementation, Martingale and Grid systems have none of these three levels: no stop-loss, no break-even mechanism, no automatic adaptation to the market phase. The risk grows with every losing streak, or with every sustained trend, without any automatic limit.

Important: Protection at the position level limits the loss per trade, not the overall risk. Price gaps, extreme volatility or liquidity shortages can cause a stop-loss to be executed at a worse price than intended. A risk of loss, up to and including total loss, remains.

07 — METRICS

Risk of ruin: what the numbers say

The most meaningful metric for a trading strategy is not the maximum return achieved, but the probability of reaching a defined loss of capital. This metric is called risk of ruin.

RISK OF RUIN — VERLUSTSCHWELLE 10 % DES KAPITALS0 %25 %50 %75 %100 %AURUM FLOW2,49 % · Live-DatenMartingale / Grid> 90 % · ModellrechnungRISK OF RUINVerlustschwelle 10 % des Kapitals0255075100 %AURUM FLOW2,49 % · Live-DatenMartingale / Grid> 90 % · Modellrechnung
Risk of ruin in a scenario with a loss threshold of 10 percent of the capital used. Last updated: September 2026. The figure for AURUM FLOW is based on real live trading data (live since March 2025), not on simulations. The comparison figure for Martingale and Grid systems is a model calculation based on the known mechanics of these systems and is not based on measured third-party data.

Context: The risk of ruin is a statistical metric based on historical data. It is not a maximum loss, not a guarantee and not an indicator of future results. If market conditions change fundamentally, the informative value of the metric changes as well. Solution Flow provides the complete basis for this calculation, including the data basis, period and parameters, on request.

08 — REVIEW CRITERIA

What this means for users

Anyone using an algorithmic trading strategy should understand how the system behind it works. The decisive question is not only how high the historical return was, but how the risk is structured and whose interests the strategy serves. Five questions to ask before any decision:

1  Is there a clearly defined maximum loss limit for every individual position?

2  Does the provider earn only when the user earns, or regardless of that?

3  How high is the order volume, and who benefits from it?

4  How does the strategy behave in different market phases, not only in calm ones?

5  Over what period and on what data basis was the strategy developed and tested?

Role and limits of Solution Flow: Solution Flow provides algorithmic trading software. Solution Flow is not a broker, not a financial adviser and not a portfolio manager, and does not provide any financial services requiring authorisation. All trading decisions are made by the software on a rule-based basis. Users remain the full owners of their account and their funds at all times. Solution Flow never has access to client accounts or client funds.

Remaining risks: Even a rule-based strategy with defined loss limits does not rule out losses. Trading in financial instruments, in particular leveraged products, carries substantial risks, up to and including total loss of the capital used. Price gaps, exceptional volatility, technical faults, and failures on the part of the broker or the platform can cause protective mechanisms not to take effect as intended. Only capital whose complete loss is economically bearable should be used.

09 — CONCLUSION

Conclusion

Martingale and Grid systems do not dominate the market because they are the best strategies. They dominate it because they generate reliable revenue for brokers and providers, regardless of the user's result. This is not an accusation against individual market participants. It is a structural feature of the market that should be named transparently, so that users can make their own informed decision.

Solution Flow's strategy software was created with the ambition of taking a different path: clear rules, defined risk limits, three active layers of protection and a remuneration structure that structurally aligns the interests of provider and user. This is not a promise about future results: it is the result of more than seven years of work.

FeatureMartingale / GridSolution Flow
Loss limit per positionNot presentFixed, clearly defined stop-loss
Protection of profits achievedNot presentBreak-even mechanism
Adaptation to market phasesNot presentMulti-logic
Order frequencyVery highDeliberately low
Provider remunerationPredominantly volume-basedExclusively performance-based

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This document serves exclusively informational and educational purposes. It does not constitute investment advice, contains no promises of profit or return, and does not establish any contractual relationship. The metrics presented are based on historical data and are not a guarantee of future results.