Can you use trading bots with prop firms?
Short answer: yes, most prop firms allow bots. That is also the least useful thing to know — because the rule that ends automated accounts is almost never the bot policy.
Most firms permit automated trading. What kills funded accounts is the drawdown rules — specifically the daily loss limit and the trailing maximum drawdown, both usually measured on floating equity. Your open positions can breach a limit before a single trade closes.
Are bots actually allowed?
Generally, yes. The large evaluation firms — FTMO, FXify, MyForexFunds-style programmes and their many imitators — permit Expert Advisors and automated systems on both evaluation and funded accounts. Automation is common enough that most firms address it explicitly in their rules rather than banning it.
But "allowed" varies by firm and by programme within a firm, and these rules change often. Treat any article — including this one — as a starting point, and confirm the current written rules with your own firm before you run anything.
What firms really restrict
Bans usually target specific techniques rather than automation itself. The recurring list:
- Latency and tick-scalping arbitrage — exploiting delays or quirks in the firm's price feed rather than trading the market.
- High-frequency strategies that place large numbers of orders, often defined by a minimum holding time or a maximum trades-per-day figure.
- Copy-trading across accounts — running identical signals on many funded accounts, at one firm or across several.
- Group or signal-service trading, where many traders execute the same calls simultaneously.
- Holding through major news or over weekends, on some programmes.
An ordinary bot trading its own signals on one account rarely trips any of these. Read your firm's rules for the phrases "prohibited strategies", "minimum hold time" and "consistency rule" specifically — those three sections contain most of the surprises.
The two rules that end accounts
Whether automated or manual, almost every failed evaluation dies to one of two limits.
| Rule | What it means | Why bots trip it |
|---|---|---|
| Daily loss limit | A cap on how much you can lose in one trading day, measured from that day's starting balance or equity. | A bot can open several positions before any of them resolves. Correlated pairs then move together. |
| Trailing max drawdown | A floor that follows your peak equity upward. Profit raises the floor; it rarely comes back down. | A good run tightens your own margin for error. The better the bot performs, the less room a normal losing streak has. |
The trailing drawdown is the one traders underestimate. It converts a winning streak into a narrower corridor — so the losing streak that would have been survivable in week one can end the account in week six.
Why floating losses are the trap
Most firms measure these limits on equity, not closed balance. Your unrealised losses count while trades are still open.
The practical consequence: a bot holding four positions with a 1% stop each is not risking 1%. If a news release moves every correlated dollar pair at once, it is risking something close to 4% simultaneously — and no software can un-open a position once the risk is on the books. That is how accounts die in minutes rather than weeks.
The protective question isn't "what do I risk per trade?" It's "if everything I currently have open hit its stop in the same minute, would I breach the daily limit?" If yes, the position count is already too high, whatever the per-trade risk says.
How many positions is too many
Fewer than most traders assume. Two positions at up to 1% risk each keeps the absolute worst case — both stopped in the same instant — inside a typical 3–5% daily limit with margin to spare. Five or six correlated pairs does not.
This is one of the few genuinely mechanical safety decisions in automated trading: it doesn't rely on predicting the market, only on arithmetic about the worst case. It is also why a bot that appears to "trade too little" may simply be one that intends to still exist next month.
One-phase vs two-phase
Compare drawdown structures before profit targets. A one-phase programme with a fast target and a tight trailing drawdown asks a strategy to sprint through a corridor that keeps narrowing. A two-phase programme usually gives more time and a more forgiving structure.
In our own historical simulations of prop-style rule sets, the drawdown rule — not the profit target — decided whether a given configuration survived far more often than anything else we varied. Those were backtests on past data with their limits fully disclosed on our research page, not predictions; but the direction of the finding matched what the rules imply mechanically.
A checklist before you start
Read the prohibited-strategies section, in writing
Not a forum summary. The firm's own current rules page, and screenshot it — rules change and disputes are resolved against what was published.
Find out whether limits are measured on balance or equity
If it's equity — and it usually is — floating losses count and your maximum simultaneous exposure matters more than your per-trade risk.
Calculate your worst-case day, not your average one
Every open position stopped at once. Compare that number to the daily limit. If it doesn't fit, reduce concurrent positions before anything else.
Check whether the trailing drawdown follows equity or closed balance
Peak-equity trailing is materially harsher, because an unrealised spike you never banked can still raise the floor permanently.
Test on a demo account with the same rules first
Evaluation fees are not refundable when a bot behaves differently to how you assumed. A demo run costs nothing but time.
What we can't tell you
We can't tell you a bot will pass an evaluation — ours or anyone's. Any vendor who does is telling you something they cannot know.
What is knowable is mechanical: whether a system's worst-case exposure fits inside a firm's limits, whether it holds positions through news, and whether it stops trading when a daily loss threshold is hit. Those are engineering properties you can verify before risking a fee — and they matter more than any past-performance figure, because they're the properties that decide whether the account survives long enough for an edge to matter at all.
How Velox handles this
Velox was built around prop-firm constraints: hard-coded risk caps the AI cannot override, a maximum of two concurrent positions, a daily-loss circuit breaker that counts floating losses, and a prop-firm mode that guards the firm's daily and trailing lines before they can be breached.
See how Velox worksSetting up for the first time? See the MetaTrader 5 setup guide.
Velox is trading software, not a broker, fund, or financial adviser, and nothing on this page is investment advice. Trading forex carries a substantial risk of loss and is not suitable for everyone. Prop-firm rules referenced here change frequently and differ between firms — always confirm the current rules with your own firm before trading an automated strategy on their capital. Any research figures cited are drawn from historical backtests on past market data; past results do not indicate future performance, and Velox makes no profit guarantee of any kind.