The Rulebook Checklist to Run Before You Buy a Challenge You Plan to Automate

The usual sequence: find a discount code, pick an account size, pay, install the robot, then read the rules properly when the first warning email arrives. Repeat attempts add up quickly, $2,400 and more in a year of challenge fees, with the strategy never the thing that failed. Before you get this far, it is worth knowing what separates a system that survives an evaluation from one that does not.

Reverse it. A human absorbs rules they never formally read, and instinct covers the gaps. Software has no instinct. When software trades the account, every clause is either encoded in the settings or not enforced at all.

So treat the checklist below as a pre purchase audit: twenty minutes with the firm's terms page open, before checkout rather than after, because two of these answers can make an account unusable for the tool you own. One rule governs the whole piece. No live figure for any firm appears here, since terms are revised and differ by account size, type, platform and phase inside one company. Any percentage in an example below is invented for illustration, and the real values come from the current rulebook on the firm's site.

Ask this first, because a no here makes the other five academic. It is four questions wearing one coat, and rulebooks answer them in separate clauses.

First, whether an expert advisor may run on your own account at all. Second, copy trading, a tool that mirrors positions between accounts or from an external provider, which some firms treat very differently from a robot running locally. Third, third party management, where somebody other than the account holder places orders, usually the most restricted of the group. Fourth, techniques prohibited whoever executes them, such as latency and tick scalping or arbitrage against a delayed feed. The general landscape is in are trading bots allowed at prop firms. Your answer is in the terms of the account you are about to buy.

A fifth question is not about permission. Your account is issued on a specific platform, and platforms are not interchangeable: a tool may run natively on one and reach another only through a copier, an extra moving part and sometimes an extra monthly cost. Confirm the platform first, because it is fixed once the account exists.

If you verify one thing on this list, verify this. Drawdown variants look nearly identical in a comparison table and behave nothing alike on a live account.

A static drawdown sits at a fixed distance below your starting balance, so every dollar of profit buys room. A trailing drawdown follows the account upward, so profit does not always buy safety, it can drag the failure line along behind you. Variants differ in whether the trail stops at the starting balance plus the target or follows for life, and whether it tracks equity highs, which include profit you never closed. The mechanics are in trailing drawdown explained. Which variant governs your plan is a rulebook question, not something to assume from the firm's name.

Why this is a settings question. Illustrative arithmetic with invented figures, not any firm's terms: under an equity based trailing model, a position that runs 3% in your favour and returns to breakeven can lift the failure line permanently by that 3%, on a day the balance never moved. A robot that habitually gives back open profit shortens its own leash on that model, and does nothing of the sort on a static one.

Traders read the daily loss limit as a size rule. Half of it is a timing rule, and that half produces most of the surprises.

Where a daily limit exists, it resets at an hour and a timezone the firm sets, frequently neither your local time nor your platform's server clock. A robot with its own daily counter resets at midnight on the wrong clock, decides it has a fresh allowance, and opens positions while it is still spending yesterday's. That is not a bad strategy losing money, it is an accounting mismatch. Then confirm what counts: some models measure closed results only, others live equity, so an open position deep in the red can breach the limit on a loss never realised. Fees and swaps frequently count too. Daily loss vs max drawdown separates the two limits. The wording that binds you sits on the firm's current terms page, not in a comparison table.

It is one reason PraxAI runs a second engine instead of a smarter indicator: PraxAI GUARD watches the firm's rules in real time, with a built in drawdown lock designed to stop trading before the account reaches the daily limit rather than after it.

A human knows a central bank is speaking this afternoon, and that Friday evening is no time to open a swing position. A robot knows neither unless told, so every clause here is a configuration item rather than a judgement call.

News restrictions vary in shape as much as in duration. Some rulebooks restrict opening around scheduled releases, some restrict closing, some apply only at the funded stage, some do not exist. Translate the current wording into a window in minutes and a list of which events count.

Weekend and holiday exposure is the same problem on a longer timescale. Where positions may not be carried, the robot needs a hard flat time on Friday, with margin enough that a late fill or a widened spread does not push it past the line. Instrument restrictions and lot caps belong in the same pass, becoming a symbol whitelist and a sizing ceiling.

These rules shape how the profit arrives, and a robot given a good week keeps doing whatever worked. A minimum trading day requirement means the account cannot be finished in one lucky session, so the software has to stay active rather than switch off when the target prints. A deadline, where one exists, pushes the other way. Consistency requirements go further, commonly capping how much of the total profit may come from one day or one trade, and expecting position sizes to stay in a comparable range.

Illustrative example with invented figures, not any firm's rule. Suppose a plan caps any single day at 30% of total profit. A robot that makes most of the target in one strong session has broken no loss rule, but the distribution does not satisfy the requirement, and the run continues until the other days catch up. Settings problem, settings answer: a daily profit cap, a stop for the day trigger, fixed sizing. How these clauses tend to be written is covered in the prop firm consistency rule explained. Whether any version applies to your plan is a question for the firm's rulebook.

This group is easy to postpone. It is worth ten minutes now, because it can change which firm you buy from at all.

Check the profit split, the payout schedule and how soon a first payout can be requested, any scaling plan, and above all whether the funded account runs on the same rules as the evaluation. Often it does not. Drawdown models can change, news and weekend restrictions can appear where they were absent, and the automation policy is sometimes worded differently for the funded stage. Ask support where the terms are ambiguous: a tool permitted in the evaluation and not on the funded account is the worst possible timing for a surprise.

The point is not the reading, it is the translation. A run where the two documents disagree is waiting to break on a rule the code was never told about. Where a tool ships with per firm configuration files, this is what they encode, the subject of setfiles explained. Keep the finished sheet where you will see it, with the firm's figures in account currency beside each line and the date you copied them.

Firms revise terms, and the trader most exposed is the one running software configured against a version that no longer exists, because it obeys last quarter's rulebook with total confidence. Redo the pass for every new account and every reset, and treat a change notice as a reason to reopen the settings, not an email to archive. It is why PraxAI commits to updating its rule logic within 48 hours when a firm changes its terms.

Passing gets you the account, keeping it is the longer discipline. Commonly cited industry figures put the share of funded traders who keep the account at only around 1 to 3%, a comment on the stage rather than on any firm, and little of that attrition is an entry problem. That second stage is what PraxAI FUNDED is built for, protecting an account that already passed, inside every rule the firm applies, all the way to the payout. Most bots pass challenges. Ours collects payouts. Either way the sequence holds: rulebook first, settings second, entries last. The checklist belongs inside a larger method, which is in how to pass a prop firm challenge.