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WHY BOTS FAILFREENO ACCOUNTAUTOMATED TRADE BOTSProp Firm Rules vsBot TypesThe arithmetic of how bots failEDUCATION ONLY | NO SIGNALSEXAMPLE NUMBERS ARE LABELLEDAUTOMATED TRADE BOTSautomatedtradebots.com
A free page on prop firm rules vs bot types. Education only, with example numbers labelled.
WHY BOTS FAIL

Prop Firm Rules vs Bot Types

Short answer

Prop firm rules usually fall into a few types: a profit target, a daily loss limit, a maximum loss limit, trailing or static drawdown, minimum days, a consistency rule, news or weekend restrictions and limits on automation.

Each prop firm rule is arithmetic, and each bot type has arithmetic of its own. This page lines them up and shows where they collide.

The page explains the idea in plain words, works through the arithmetic with a table, and shows how it hits grid, martingale and DCA bots, then tells you what to check before you run one.

  • A worked example with real arithmetic
  • How it hits grid, martingale and DCA bots
  • How to check for it before you run a bot
  • No advice, no signals, no profit promises

Last reviewed 28 October 2026. Education only, not advice.

Free, no account Runs in your browser Worked numbers shown Not advice Examples labelled

Ready to go further

Next: test your own odds against the limits

Enter a win rate, payoff and risk to see how often each limit ends a simulated challenge.

Reading time10 minutes
Worked exampleExact arithmetic
Tools linked2 on this page
Reviewed28 Oct 2026

What is included

  • What it is, in plain words
  • The formula or mechanism, with exact arithmetic
  • How it hits grid, martingale and DCA bots
  • A check you can run before you switch a bot on

Who it is for

  • People who run or plan to run a trading bot
  • Anyone reading a backtest or a bot sales page
  • Readers who want the numbers, not the pitch
  • Not advice, and not a signal service
Same odds, two sizing rules: share of attempts that pass (made-up simulation)69.5%Fixed 1% riskpass42.6%2x ladderpassMade-up odds: 45% wins, payoff 1.5. 2,000 attempts each, seed 2027. Calculated by us on 30 Oct 2026, exact for this code.
The picture for this page. Example numbers are made up unless the page says they were calculated.

Key facts

  • Prop firm rules usually fall into a few types: a profit target, a daily loss limit, a maximum loss limit, trailing or static drawdown, minimum days, a consistency rule, news or weekend restrictions and limits on automation.
  • A rule does not treat all bots alike. The same limit that a fixed-risk bot fits inside can be crossed by a martingale ladder in three trades.
  • In the seeded simulation below, the same made-up odds passed 69.5% of attempts with fixed 1 percent risk and 42.6% with a 2x ladder (calculated by us on 30 Oct 2026, exact for the code on this page).
  • The ladder failed the daily limit in 50.4% of attempts. The fixed-risk run failed it in 0.0%.
  • Firms differ and rules change. This page describes rule types only, makes no claim about any firm and cannot say a bot is allowed. Read your own firm's current terms.

How to read the matrix

A prop firm challenge is a short test with fixed rules. A trading bot is a fixed rule set too, with its own sizing and its own way of losing. Where the two sets of arithmetic fit, the bot has room. Where they cross, the attempt ends. The matrix below gives one of three verdicts for each pair, plus "varies" for the rules that depend on wording.

  • Usually clear. The bot's own arithmetic fits inside the rule with room, if it is set up with the rule in mind.
  • Tight. It can fit, but a normal bad run, a gap or the costs use up the room.
  • Breaks by construction. The bot's design contains the thing the rule limits, so the rule ends the attempt in the ordinary course of the bot's own method.
  • Varies. The result depends on the exact words of the firm's terms.

These are readings of arithmetic, not statements about any firm. They are a way to ask better questions, and they assume a generic rule of each type. The rule set you face may be stricter, looser or worded differently.

The matrix: rule types against bot types

Rule typeFixed-risk single tradeGridMartingaleDCAScalperNews trader
Profit targetUsually clearTightTightTightTightTight
Daily loss limitUsually clearTightBreaks by constructionTightUsually clearTight
Maximum loss limitUsually clearTightBreaks by constructionTightUsually clearTight
Trailing versus static drawdownUsually clearTightBreaks by constructionTightUsually clearTight
Minimum trading daysUsually clearUsually clearUsually clearUsually clearUsually clearTight
Consistency ruleUsually clearTightTightTightUsually clearTight
News or weekend restrictionsUsually clearTightTightTightUsually clearBreaks by construction
Limits on automation or copyingVariesVariesVariesVariesTightVaries

The bot types are explained on the pages for martingale, grid trading and DCA bots. A scalper takes many small trades with short holds. A news trader enters around scheduled releases. A fixed-risk single trade bot risks a set share of the account on each trade with a stop and a target.

Daily-limit fails out of 2,000 simulated attempts (made-up)0.0%Fixed 1% riskdaily fails50.4%2x ladderdaily failsSame simulation as the first picture. The sizing rule is the only difference.
The ladder's daily-limit fails are the visible cost of a design that grows the size after a loss.

The reason behind each cell

Every verdict comes from the bot's own arithmetic. Here they are by rule, so you can see why.

Profit target

  • Fixed-risk single trade (usually clear). Each trade has a known risk and payoff, so the target is a count of average results, if the odds are positive.
  • Grid (tight). Gains are small and steady per cycle, so the target needs many cycles, and one trend can erase them.
  • Martingale (tight). Each win only recovers the ladder plus one base unit, so the target is reached in small steps.
  • DCA (tight). It is built for a long horizon, so a fixed window may end before the average price pays off.
  • Scalper (tight). Gains per trade are tiny and costs take a large share of each, so the net per trade is thin.
  • News trader (tight). Profit arrives in a few large moves, so a time limit leaves few chances to reach it.

Daily loss limit

  • Fixed-risk single trade (usually clear). Loss per trade is capped, so a breach needs several losses in one day. Check the count against the limit.
  • Grid (tight). Open levels add up, and if open losses count the floating total can touch the limit on one trend.
  • Martingale (breaks by construction). Risk doubles each step, so three losses in a row at a 1 percent base is 7 percent, above a 5 percent limit.
  • DCA (tight). Buys keep arriving as price falls, so the unrealised loss grows while the plan says to wait.
  • Scalper (usually clear). Stops are small, so a breach needs many losses in a row, but costs add up on busy days.
  • News trader (tight). A gap or a fast move can fill a stop beyond its level, so the loss can exceed the planned risk.

Maximum loss limit

  • Fixed-risk single trade (usually clear). The worst planned loss is the stop size times the number of losses, which can be compared with the limit.
  • Grid (tight). The deepest point of a grid is far below the start and rarely sized to the limit.
  • Martingale (breaks by construction). The ladder is built so that its last step is the largest, and a long losing run reaches any fixed limit.
  • DCA (tight). Averaging down lowers the average price while it deepens the open loss toward the floor.
  • Scalper (usually clear). Many small stops keep the drawdown shallow if the edge after costs is not negative.
  • News trader (tight). One event with slippage can take a large share of the limit in a single trade.

Trailing versus static drawdown

  • Fixed-risk single trade (usually clear). Under a trailing limit the room stays the same size after gains, and fixed-money risk leaves it unchanged.
  • Grid (tight). Profits from closed cycles raise the floor, while the deepest levels stay the same distance away.
  • Martingale (breaks by construction). Step sizes grow but trailing room does not, so fewer steps fit once a profit has raised the floor.
  • DCA (tight). Positions keep their size while the floor rises, so the same dip uses more of the room.
  • Scalper (usually clear). Small stops fit into the room, but the room is measured against costs paid on every trade.
  • News trader (tight). A win raises the floor, and the next event, with its wider stop, has less room.

Minimum trading days

  • Fixed-risk single trade (usually clear). It trades on any day with a setup, so the count is met unless it waits for rare signals.
  • Grid (usually clear). A grid usually places orders every day, so the day count is met if open orders count as a trading day.
  • Martingale (usually clear). It trades often, though it can hit the target early and stop before enough days have passed.
  • DCA (usually clear). Buys on a schedule, but whether a buy counts as a trading day depends on the wording.
  • Scalper (usually clear). Trades most days, so the count is met with room to spare.
  • News trader (tight). It trades around scheduled events only, so there may be too few days with a trade.

Consistency rule

  • Fixed-risk single trade (usually clear). Profit is spread over many trades of similar size, so no single trade dominates.
  • Grid (tight). Profit arrives when a cycle closes, which makes some days large and many days empty.
  • Martingale (tight). The win after a long run recovers the ladder, so one result can dominate total profit.
  • DCA (tight). Gains show up when the position is sold, which can leave one large day at the end.
  • Scalper (usually clear). Many similar small results are the pattern the rule favours.
  • News trader (tight). One event day can supply most of the month, which is what the rule limits.

News or weekend restrictions

  • Fixed-risk single trade (usually clear). Positions can be closed before the window, and the rule costs only the trades in it.
  • Grid (tight). Open levels sit through the close, so a weekend gap can fill several at once.
  • Martingale (tight). The ladder is open through the close, and a gap can skip a step and enlarge the loss.
  • DCA (tight). Holds are long by design, so closing before every window changes the plan itself.
  • Scalper (usually clear). Trades are held for minutes, so it can sit out the window with little change.
  • News trader (breaks by construction). The edge of the bot is trading around releases, so a ban on them removes the strategy.

Limits on automation or copying

  • Fixed-risk single trade (varies). A bot with a stated risk and no overlap is a design question, so read what the terms name.
  • Grid (varies). Some terms name grids or averaging directly, so read for those words.
  • Martingale (varies). Some terms name martingale or ladders, and if yours does, the design fails before any trade.
  • DCA (varies). Scheduled buys are an ordinary automation, but the wording on averaging may apply.
  • Scalper (tight). Terms on holding time, latency or trade count bear on it more than on slower bots.
  • News trader (varies). Terms on trading around events often sit beside the automation terms, so read both.

Worked example: the same odds, two sizing rules

The simulation uses made-up odds: a 45 percent win rate and a payoff of 1.5, so a win gains 1.5 times what a loss costs. That has a small positive expected value of 0.125 per unit risked, which is why a fixed-risk bot can pass. It is not a claim about any real strategy. Every attempt is 30 days of 3 trades a day with a 10 percent profit target, a 5 percent daily loss limit measured from the day's starting balance and a 10 percent total loss limit measured from the start. Both strategies see the same sequence of random numbers. The first risks 1 percent of the starting balance on every trade. The second starts at 1 percent and doubles the risk after each loss, then returns to 1 percent after a win. A trade that crosses a limit ends the attempt, and the total limit is checked first.

Outcome (2,000 attempts each)Fixed 1 percent risk2x martingale ladder
Pass (reached +10 percent)1391 (69.5%)852 (42.6%)
Daily-limit fail (5 percent)0 (0.0%)1009 (50.4%)
Total-limit fail (10 percent)242 (12.1%)139 (7.0%)
Timeout (30 days, no result)367 (18.4%)0 (0.0%)

The ladder's problem is not the average trade, which has the same odds. It is the tail. Three losses in a row at a 1 percent base cost 7 percent, more than the 5 percent daily limit, and the chance of that sequence is 0.55 x 0.55 x 0.55 = 16.6 percent each time a ladder starts. With three trades a day, that comes up often. The fixed-risk run had no daily fails because it takes five straight losses to cost 5 percent, and with three trades a day that cannot happen inside one day. Its failures are slow ones: 242 total-limit fails and 367 timeouts, where the target was not reached in 30 days.

The ladder has no timeouts, because it either gains quickly or fails quickly. That is the shape a ladder makes: many small wins, then a large loss that decides the attempt. The prop firm challenge simulator lets you try your own odds and risk. The code that makes these numbers is in this page's source, and rerunning it gives the same figures.

Made-up odds, a made-up rule set and a simplified model: three trades a day, independent results, no costs, no slippage. A real challenge will differ. This is a demonstration of how sizing meets a limit, not an estimate of anything real.

What the matrix does not tell you

It does not say a bot passes, and it does not say a bot is allowed. A fixed-risk bot can still fail on bad odds. Firms differ, their rules change, and the wording of one clause can turn a "usually clear" into a "breaks". Read your own firm's current terms in full, and measure a bot against those, not against this page. For the arithmetic of the limits themselves see prop firm drawdown rules, and for the cost side see the fee calculator.

FAQ

Frequently Asked Questions

What are the common prop firm rule types?

A profit target, a daily loss limit, a maximum loss limit, trailing or static drawdown, minimum trading days, a consistency rule, news or weekend restrictions and limits on automation or copying. Which ones apply, and how they are worded, differs by firm.

Why does a martingale ladder collide with a daily limit?

Its size doubles after each loss, so a short run of losses costs more than a fixed-risk bot would lose. At a 1 percent base, three losses in a row cost 7 percent, above a 5 percent daily limit.

Does "usually clear" mean a bot will pass?

No. It means the bot's own arithmetic fits inside that rule. Passing also needs positive odds, enough time and every other rule, and none of that is shown here.

Are the simulation figures real pass rates?

No. They come from made-up odds, a simplified model and a fixed seed, so they are reproducible. They show how a sizing rule meets a limit, not how any real strategy or challenge behaves.

Do firms allow grid or martingale bots?

This page cannot say. Some terms limit or name certain methods and some do not. Read the current terms of your own firm, and ask the firm if a clause is unclear.

Are the numbers on this page real?

Example numbers are made up to show how the maths works, and the page says so. A figure only counts as exact when the page says it was calculated on a stated date. Nothing you enter in a calculator leaves your browser.

Can I use this to decide whether to run a bot?

It can show whether a bot's numbers hold together and how much an account can lose. It cannot say what the market will do, and it is not advice. Use it to ask better questions, then read the terms of your own broker or exchange.

Is this financial advice?

No. It is general education about how rule types and bot arithmetic interact. The numbers are made up, and it does not consider your situation.

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