FundingPips vs FTMO: Compare the Structure, Not the Numbers
Key takeaways
- No rule in this article is quoted as either firm's current terms. Both firms revise their programs, so treat every figure here as an invented worked example and confirm each answer on the firm's own site the day you pay.
- Any two prop firm offers differ along seven structural axes: evaluation model, phase count, drawdown model type, daily loss treatment, payout cycle shape, automation policy posture, and cost plus scaling posture.
- The drawdown model type is the axis that decides which strategies are viable at all. Static from the starting balance and trailing behind your equity high produce different outcomes from identical trades.
- The fee on the checkout page is not the price. The price is the fee multiplied by the attempts the structure will realistically extract, minus any refund or reset arrangement.
- Compare payout structure before you buy, not after you pass. Cycle cadence, baseline reset on withdrawal and review posture decide whether passing turns into money.
- Automation is commonly permitted under written conditions in this market, and the conditions differ by firm, account type and stage. What you compare is the clarity of the published policy, not a rumour on a forum.
FundingPips vs FTMO: the comparison that is already out of date
Every FundingPips vs FTMO article you can find has the same problem: it is a table of numbers, and the numbers were true on the day somebody typed them. Profit targets get revised. Drawdown rules get recalculated. Fee tables get a promotional discount and quietly lose it. A comparison built on figures has a shelf life measured in weeks, and if you spend a challenge fee on the strength of one, you are betting on somebody else's screenshot.
So this article compares the two offers by structure instead, because structure moves slowly, and it hands you a checklist to take to both firms' own terms pages before you pay. Nothing here states either firm's current rules as fact, and every figure below is an explicitly invented worked example.
If you are reading this you have probably failed one evaluation and have one more fee you are willing to risk. You do not need a winner declared for you. You need to know which structure punishes your particular weakness least.
The seven axes that actually separate two prop firms
Strip the marketing away and any two prop firm offers differ along seven axes. Everything else is branding, dashboard design and support speed, which matter but do not decide whether you keep the account.
- Evaluation model: do you buy an audition, or an account live from day one? Instant funding and evaluation are different products at similar prices, and they select for different traders.
- Phase count: one step, two step, or something in between. Each extra phase is another chance to breach and another delay before the account earns anything.
- Drawdown model type: static from the starting balance, or trailing behind your equity high. This single choice changes which strategies are viable.
- Daily loss treatment: whether the daily line is measured from balance or equity, and whether floating losses count. Two firms with the same headline percentage can behave very differently here.
- Payout cycle shape: how often the cycle closes, what the split is, whether a withdrawal resets your profit baseline, and how long the review takes.
- Automation policy posture: whether the firm publishes a clear written policy, and whether it still applies at the funded stage.
- Cost and scaling posture: what a failure actually costs once resets are counted, and what the account becomes after several good cycles.
Evaluation model and phase count
Both firms are commonly known for evaluation programs rather than instant funding, but account line-ups get added and retired, so treat even that as something to check rather than assume. Whatever you end up buying, the phase count and the way each phase is gated are the parts to verify on the firm's own terms page.
What does not change is the arithmetic of phases. Take an invented example: suppose a strategy has a 70 percent chance of clearing any given phase inside the time allowed. One phase gives you 70 percent. Two independent phases give you 49 percent. The strategy did not get worse, the structure took a bite out of it. That is not an argument against two-phase programs, which often carry gentler targets per phase, but it is the honest way to read the difference.
So ask both programs the same question: how many separate opportunities does this give me to fail, and what happens on the day I fail one? A program that lets you restart the failed phase cheaply is structurally different from one that sends you back to a fresh purchase, so the price of a reset belongs inside the fee comparison. Our walkthroughs of the audition are in [how to pass a FundingPips challenge](/blog/pass-fundingpips-challenge) and [how to pass an FTMO challenge](/blog/pass-ftmo-challenge).
The drawdown model is the axis that decides your strategy
If you check only one thing before paying, check this one. A static maximum drawdown is measured from the starting balance and does not move as you profit, so every dollar you make widens the distance to the floor. A trailing drawdown follows your equity high, so profit drags the floor up behind you. Some programs trail on closed balance, some on floating equity, and the second is stricter.
Here is an invented worked example on a $100,000 account with a $10,000 maximum drawdown, purely to show the mechanic. Under a static model the floor sits at $90,000 permanently, so a run to $106,000 leaves you $16,000 of room. Under a trailing model that tracks the equity high, the same run to $106,000 pulls the floor to $96,000 and your room is still $10,000. A retracement to $97,000 is a comfortable afternoon in the first case and a near miss in the second. Same trader, same trades, two outcomes decided by one sentence in the terms.
Neither model is better in the abstract. Trailing models punish giving profit back, static models tolerate deeper retracement. The failure is not choosing the wrong one, it is choosing without knowing which one you bought, and [trailing drawdown explained](/blog/trailing-drawdown-explained) walks through the mechanic properly.
Cost posture: the fee on the checkout page is not the price
The FundingPips vs FTMO cost comparison that circulates on forums is one number per firm, the least informative way to look at cost. The real price of an evaluation program is the fee multiplied by the number of attempts the structure will realistically extract from you, minus whatever refund or reset arrangement exists.
An invented illustration, with figures chosen only to show the shape of the problem. Firm A charges $500 per attempt and refunds the fee with your first payout. Firm B charges $300 per attempt with no refund, but a failed phase can be reset for $150. Fail twice and pass on the third attempt at Firm A and you have spent $1,500 and get $500 back, so $1,000 net. The same sequence at Firm B costs $300 plus two resets at $150, so $600. Change the number of attempts and the ranking flips, which is the point.
This is how repeat challenge fees can add up to $2,400 or more a year, and it makes the useful question not which firm is cheaper but whether the category is worth it at your current consistency. We put that question honestly in [is a prop firm challenge fee worth it](/blog/prop-firm-challenge-cost-worth-it).
Payout cycle shape and scaling posture
This is where most comparisons stop, and where the money actually is. Passing is a cost, getting paid is the product. Read the payout terms before you buy, because payout structure decides how a funded account must be traded, and that decides whether the evaluation in front of you is good practice for it.
- Cycle cadence: how long before you can request a withdrawal, and how long review and transfer take on top. Profit made just after a cycle closes waits for the next one.
- Baseline treatment on withdrawal: whether taking profit out resets your profit baseline, which shrinks the buffer between you and the drawdown floor at exactly the moment you feel safest.
- Review posture: whether the firm grades how the profit was made, including the evenness of daily results, before releasing the money.
- Scaling posture: what growth in allocation or in split is offered for consecutive profitable cycles, and what breaks the streak.
Automation policy posture, and our disclosed position
Automation is commonly permitted under written conditions in this market, and those conditions differ by firm, by account type and by stage. So what you can compare is not whether automation is allowed but how clearly the firm says so: a published, specific, dated policy is worth more than a permissive rumour on a forum. Put three questions to support in writing at both firms. Is an expert advisor permitted on this exact account type. Does the same answer apply at the funded stage. Which strategy classes are named as prohibited. Save each reply with its date, because the reply is the only version of the policy you can show anyone later.
If futures accounts are on your shortlist too, automation there depends entirely on each firm's own policy and platform terms, so confirm it with that firm rather than assuming forex practice carries over.
Disclosure, since this article compares options and we are one of them: PraxAI publishes this blog and sells rule-respecting trading software, with PraxAI GUARD enforcing the daily loss and drawdown limits in code instead of leaving them to a tired human at 11pm. How to judge any tool in this category, ours included, is in our guide to the [best AI trading bots for prop firms](/blog/best-ai-trading-bot-prop-firms-2026). We sell software, not funded accounts, and nothing makes a pass certain.
Our walkthrough of the payout mechanics, using FTMO as the worked case, is in [the FTMO payout explained](/blog/ftmo-payout-explained). Read it as a template for the questions, not as a quote of current terms. Across this industry only 1 to 3 percent of funded traders keep the account long term, which is the strongest argument there is for reading the payout terms before you pick the evaluation.
The real answer, and the checklist that gets you there
The honest answer to the question in the title is that FundingPips vs FTMO is the wrong shape of question. The right one is which structure punishes your known weakness least, at a fee you could afford to lose twice. A trader who has breached on give-back should weight the drawdown model above everything. A trader who ran out of patience should weight phase count and payout cadence. A trader who keeps paying for resets should weight cost posture, and ask whether a third attempt is the right purchase.
If your shortlist is wider than these two, the same seven axes apply to everything on it, and we run them across the field in [the best prop firms 2026](/blog/best-prop-firms-2026). Then open both firms' own rule pages side by side, today, and answer the following in one document with the date you looked. That document beats any comparison article, this one included, because it is current and specific to the account you are buying. If you cannot answer an item from the firm's own documentation, that is information too.
- How many phases, what is the profit target for each, and is there a minimum or maximum trading day count.
- Is the maximum drawdown static or trailing, and if trailing, does it track closed balance or floating equity.
- Is the daily loss limit measured from the day's starting balance or from equity, when does the day reset in server time, and do floating losses count.
- What is the fee, what does a reset cost, and is the fee refundable under any condition.
- What is the profit split, how long is the payout cycle, and does a withdrawal reset the profit baseline.
- Is there a consistency requirement, and is it published as a number or left to discretion.
- Is an expert advisor permitted on this exact account type at both stages, and which strategy classes are prohibited.
- What does the scaling plan reward, and what resets it.
Frequently asked questions
Which is better, FundingPips or FTMO?
FundingPips vs FTMO has no winner in the abstract, and any article that declares one is quoting numbers that will change. Compare them structurally instead: evaluation model, phase count, whether the maximum drawdown is static or trailing, how the daily loss line is measured, payout cycle shape, automation policy clarity, and the real cost once resets are counted. Then pick the structure that punishes your own known weakness least, and confirm every figure on each firm's own terms page the day you pay.
Does FundingPips allow EAs and automated trading?
Automation is commonly permitted under written conditions at firms of this type, but the policy differs by firm, by account type and by stage, and it gets revised. Nobody who is not reading today's terms page can answer this for your specific account. Ask support in writing whether an expert advisor is allowed on your exact account type, whether the same answer applies once you are funded, and which strategy classes are named as prohibited, then save the reply with its date.
Is FundingPips cheaper than FTMO?
The fee on the checkout page is not the price. The price is the fee multiplied by the number of attempts the structure realistically extracts from you, minus any refund or reset arrangement. A lower sticker with paid resets and no refund can cost more across three attempts than a higher sticker that refunds with the first payout. Model your own likely attempt count before comparing the two headline figures.
What is the difference between static and trailing drawdown?
A static maximum drawdown is measured from the starting balance and stays where it is, so profit widens your room. A trailing drawdown follows your equity high, so profit drags the floor up behind you and giving gains back can breach the account even while you are up on the month. Trailing models can track closed balance or floating equity, and the floating version is stricter. Check which one your program uses before you choose a strategy for it.
Should I compare payout rules before I even pass a challenge?
Yes, because payout structure decides how the funded account has to be traded, and that decides whether the evaluation in front of you is good practice for it. Look at cycle cadence, whether a withdrawal resets your profit baseline, whether the firm grades consistency before releasing money, and what scaling rewards. Passing is a cost, getting paid is the product, and only 1 to 3 percent of funded traders keep the account long term.
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