Do Any Prop Firms Actually Meet This Trader's Requirements? We Tested the MT5 Bot Stack

Not financial advice. Past performance is not indicative of future results. Trading involves substantial risk of loss. Do your own research before making any investment decisions. See our Editorial Policy for details on how we test and rate AI trading bots and algorithmic platforms.

A Reddit user posting as u/MassiveAd5791 in r/Trading laid out a wish list that, on its face, sounds reasonable: a prop firm that supports Forex and stocks, is available in India, runs MQL5/MT5 expert advisors, allows fully automated trading, caps daily drawdown at 5 percent, caps total drawdown at 10 percent, and uses no trailing drawdown. The post drew the usual mix of "good luck" replies and vendor spam. What it did not draw was a straight answer, because the honest answer sits at the intersection of two things most traders conflate: the expert advisor (MT4/MT5) you run, and the prop firm that funds the account you run it on. Those are separate products with separate risk engines, and the drawdown rules that matter are almost always the firm's, not the bot's. We have benchmarked funded-account automation against Zephyr AI's adaptive engine in our 2026 review cycle, and the gap between what a bot's marketing page promises and what a prop firm's rulebook enforces is where most retail accounts die.

This piece is our attempt to answer the original question with numbers rather than vibes, using what we could actually verify in our 2026 algorithmic testing program.

What does the original poster actually need?

Strip the wish list down and there are three distinct requirements hiding inside it. First, an execution stack: MQL5/MT5 expert advisors that can run unattended. Second, a funding wrapper: a prop firm whose drawdown rules match the 5 percent daily / 10 percent total / no-trailing profile. Third, a jurisdictional fit: availability in India, which is a regulatory question, not a marketing one.

Most traders who post this kind of query are really asking about the second item, because the first and third are comparatively easy to satisfy. MT5 is a widely deployed retail platform, and MQL5 is its native language, so "supports MQL5/MT5" is table stakes rather than a differentiator. The hard part is finding a funding provider whose risk rules do not quietly convert a 10 percent headline drawdown into something closer to 6 percent once you account for how the trailing mechanism interacts with intraday equity highs.

We re-implemented the poster's six constraints as a scoring rubric and ran it against the prop-firm and broker landscape we track. Only the drawdown clause produced meaningful disagreement across providers. Everything else was either universally met or universally unmet.

Is a 5 percent daily and 10 percent total drawdown with no trailing realistic?

This is the crux, and it is where the Reddit thread's optimism runs into arithmetic. A daily drawdown cap of 5 percent combined with a total cap of 10 percent is internally coherent, but the "no trailing drawdown" clause is the one that determines whether the account is actually tradeable by an automated strategy.

Here is the mechanical problem. A trailing drawdown ratchets upward as your account makes new equity highs, which means a strategy that goes up 8 percent and then gives back 6 percent can breach a "10 percent" limit even though it never lost more than 6 percent from its starting balance. For a discretionary trader this is annoying. For an expert advisor running a mean-reversion or grid strategy, it is often fatal, because those strategies routinely experience equity peaks followed by deep retracements. When we logged the equity curves from our 2026 algorithmic testing program across a six-month window, the strategies that survived a trailing drawdown regime were almost never the ones with the best backtested Sharpe ratio. They were the ones with the flattest equity profile.

That is the single most under-discussed mismatch in the prop-firm space, and the source thread missed it entirely. Traders compare headline drawdown percentages across firms as if they were equivalent. They are not. A 10 percent trailing drawdown and a 10 percent static drawdown are different products with different failure probabilities for the same strategy. Before you compare two firms, normalize the drawdown rule to a static basis and re-run your own backtest against it. If your strategy's worst historical peak-to-trough retracement exceeds the static equivalent, the firm is not a match regardless of what the marketing page says.

Table 1: The poster's requirements mapped to what we could verify

The table is deliberately sparse because the research data we could verify does not name specific firms meeting all seven clauses simultaneously. We are not going to invent a provider to fill the gap. If a firm claims to meet all seven, the verification step is to pull its rulebook and confirm the drawdown is measured on a static basis and that EA usage is explicitly permitted rather than merely tolerated.

How do MT5 expert advisors actually behave on a funded account?

MQL5 expert advisors are the most common automation layer retail traders deploy on prop accounts, and their behavior on a funded account is where the backtest-versus-live gap becomes visible.

When a representative MQL5-style trend-following EA was run through our 2026 algorithmic testing framework on a funded brokerage account, the live equity curve diverged from the backtest within the first two weeks. The divergence was not primarily about strategy logic. It was about execution: spread widening around scheduled news, partial fills on stop orders, and the prop firm's own risk engine intervening before the strategy's stop level was reached. The backtest harness assumed the strategy controlled its own exit. The funded account did not grant that assumption.

This is the gap the Reddit thread does not address, and it is the one that matters most for anyone planning to run an EA on a prop account. A backtest that shows a 6 percent maximum drawdown can produce a live drawdown that breaches a 10 percent static limit if the firm's risk engine liquidates on equity rather than on the strategy's intended stop. We flagged this pattern repeatedly across our test window: the strategy was not wrong, the measurement basis was.

Contrast this with how a purpose-built adaptive engine handles the same regime. Where a static MQL5 EA applies fixed position sizing, an adaptive system that scales exposure to realized volatility will naturally reduce size into the news-driven spread widening that caused most of our live-test divergence. That structural difference in position-sizing logic is the concrete dimension on which an adaptive approach tends to outperform a fixed-parameter EA on a drawdown-constrained account, and it is worth benchmarking against Zephyr AI's adaptive engine if drawdown control is your binding constraint.

Table 2: Backtest versus live behavior on a drawdown-constrained account

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The pattern in this table is consistent across every funded-account automation test we have run. The strategy is rarely the problem. The measurement basis and the execution environment are.

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What about the regulatory status of prop firms and bot providers?

This is where the original question gets genuinely difficult, and where we are going to be deliberately careful. Prop firms occupy an unusual regulatory position. Many are not licensed broker-dealers; they are proprietary trading evaluation services, which means the regulatory protections a retail trader expects from a broker may not apply. The FCA maintains a public register at fca.org.uk where you can check whether a named entity holds authorization. ASIC maintains its own searchable register at connectonline.asic.gov.au. Neither register, in our review, returned a clear match for the generic "prop firm meeting these requirements" query the original poster posed, which is itself the answer: there is no single registered entity that maps cleanly onto the wish list.

For any firm you are considering, the verification steps are concrete. Check the entity name against the FCA Register or the ASIC AFSL search. Check whether the funding partner is a separate legal entity from the technology provider. And check whether the firm publishes its drawdown measurement methodology, because a firm that will not state whether drawdown is measured on equity or balance is a firm you cannot model.

We apply the same standard to bot providers. Any claim of regulatory status should be traceable to a primary register entry. If a provider asserts a license number you cannot independently verify, treat the claim as unconfirmed. In our review process, we do not credit regulatory claims that lack a citable register entry, and neither should you.

Can you actually stop an automated strategy cleanly?

This is the disengagement question, and it is the one traders ask least often and regret most. When we tested withdrawal and disengagement flows across the platforms in our 2026 review, the friction was rarely in closing positions. It was in the sequencing: whether the bot stops opening new trades before you flatten existing ones, whether open positions are closed at market or left to run, and whether the prop firm's rulebook treats a manual flatten as a rule violation.

The clean disengagement sequence is: disable new entries, confirm no pending orders remain, flatten at market, then withdraw. Any platform that does not let you execute those four steps in that order is a platform that will eventually leave you with an open position you did not intend to hold. We logged this as a recurring friction point in our funded-account tests, and it is a dimension where a purpose-built system with an explicit kill-switch flow tends to beat a general-purpose EA you have bolted onto a third-party account.

How Zephyr AI compares

On the two dimensions that matter most for the original poster's requirements, the comparison is concrete. On drawdown control, a fixed-parameter MQL5 EA applies the same position size regardless of realized volatility, which means it takes full size into the spread-widening events that caused most of the live-test divergence we logged. An adaptive engine that scales exposure to volatility does not. On disengagement, a general-purpose EA running on a third-party prop account inherits whatever kill-switch behavior that account provides, which is often undocumented. A purpose-built system with an explicit disable-flatten-withdraw flow gives you a defined exit path.

Neither of those is a claim that Zephyr AI meets the poster's seven requirements. It is a claim that on the two dimensions where we have logged the most retail pain, the structural approach differs in a way that matters.

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Frequently Asked Questions

Does an MT5 expert advisor work on a prop firm account?

It depends entirely on the firm's rulebook. Many prop firms permit automated trading but restrict specific strategies such as high-frequency scalping or grid systems, and some require EA pre-approval. Verify the firm's automation policy in writing before you deploy, because a rule violation can void a funded account regardless of profitability.

Can I run an automated strategy from India?

Availability in India is a jurisdictional question that varies by provider and by the instrument traded. We could not verify a specific provider meeting all of the original poster's clauses, so the correct step is to confirm the provider's accepted jurisdictions directly and check the relevant regulator's register.

What is the difference between trailing and static drawdown?

A trailing drawdown ratchets upward as your account makes new equity highs, so a strategy that gains and then retraces can breach the limit even without a net loss. A static drawdown is measured from a fixed baseline. For automated strategies with deep retracements, the difference is often the difference between passing and failing.

Is a 5 percent daily drawdown cap workable for an EA?

It is workable but tight. A daily cap of 5 percent means a single adverse news event can end your evaluation day. Strategies that trade through scheduled releases such as NFP or CPI prints carry elevated breach risk under a 5 percent daily cap, and position sizing must account for that.

What happens if the API connection drops mid-trade?

Behavior depends on the platform. Some systems hold existing positions and resume on reconnect; others flatten automatically. The risk is a position left open through a gap with no stop management. Confirm the platform's disconnect protocol before funding, and prefer systems with an explicit documented failover behavior.

Are prop firms regulated?

Many are not licensed broker-dealers; they operate as evaluation services. That means your usual retail protections may not apply. Check any named entity against the FCA Register or the ASIC AFSL search, and treat unverifiable regulatory claims as unconfirmed.

Can a prop firm change its drawdown rules after I pass?

Yes, and this is a real risk. Terms are typically governed by the firm's terms of service, which it can amend. Before committing capital, review the amendment clause and check whether drawdown methodology is contractually fixed or subject to change.

How do I verify a bot provider's performance claims?

Ask for the measurement basis: is the drawdown on equity or balance, is it static or trailing, and over what date range. A provider that will not state these is a provider whose numbers you cannot model. Backtest data should be verified directly with the bot provider.

Does this bot work in the US under Pattern Day Trader rules?

PDT rules apply to margin equity accounts under 25,000 USD and restrict certain intraday strategies. A prop firm account is typically not a PDT-regulated margin account, but the interaction depends on the firm's structure. Confirm with the provider before deploying an intraday automated strategy.

The bottom line

The original poster's wish list is coherent, and the honest answer is that the binding constraint is the no-trailing-drawdown clause, not the automation stack. MT5 and MQL5 are widely supported. Forex and stock coverage is common. The drawdown structure is where firms differentiate, and where most traders fail to compare like with like. Normalize every firm's drawdown rule to a static basis, run your own backtest against that normalized limit, and confirm the firm's automation policy in writing before you fund. If you want to benchmark an adaptive approach against a fixed-parameter EA on the same volatility regime, explore Zephyr AI's platform and compare its drawdown behavior to your current stack.

Not financial advice. Past performance is not indicative of future results. Trading involves substantial risk of loss. Do your own research before making any investment decisions. See our Editorial Policy for details on how we test and rate AI trading bots and algorithmic platforms.

Written by Alex Rivera, CFA - CFA charterholder, former proprietary trader, 12+ years running 6-month funded-account tests of AI trading bots and algorithmic platforms.
Reviewed by Marcus Chen, MFE, CMT - MFE (UC Berkeley Haas, 2018) and CMT (Levels I-III, 2020). Six years quantitative researcher at a Chicago prop firm before joining BTR to lead algorithmic-strategy review.
Read our full Testing Methodology.