Best MT5 Expert Advisors (EAs) for Funded Accounts

By Marcel Hambálek · Senior Trader, For Traders

The best MT5 expert advisors for funded accounts in 2026 share one profile: low trade frequency, a hard stop-loss on every order, no averaging or grid recovery, and a worst forward-tested drawdown under half the evaluation's max DD ceiling. Of the 10 EAs forward-tested here on demo at 0.5-0.75% risk per trade, 4 scored Safe, 4 Conditionally risky and 2 Banned outright under standard prop rule sets.

Key takeaways

• A prop-firm-safe EA is defined by its worst forward-tested drawdown sitting under ~50% of the max DD ceiling — not by its vendor backtest return.
• Grid, martingale and HFT/latency-arbitrage EAs are banned or void payouts under almost every prop rule set, regardless of equity curve.
• Vendor default risk of 2-3% per trade must be cut to 0.5-0.75% before an MQL5 Market EA is survivable inside a 10% max DD and 5% daily loss limit.
• Commissioning a custom MT5 expert advisor runs roughly $300-$900 for a simple signal bot and $2,500-$8,000+ for an adaptive multi-symbol system with a prop-rule guard module.
• Most major prop firms allow EAs on MT5 but restrict copy-trading, HFT and news-window execution — the clauses differ enough to check line by line.
• MT5 mobile does not run expert advisors; a Windows VPS at $10-30/month is the minimum infrastructure for 24/5 automated execution.

Watch: related video

What Makes an MT5 Expert Advisor Prop-Firm-Safe

A prop-firm-safe EA is one whose worst forward-tested drawdown sits under roughly half the evaluation's max DD ceiling, that hard-stops every single trade, and that never averages into a loser. That's the whole definition. No exceptions for "it usually recovers" — usually isn't a rule set, and a prop firm EA that can't state its worst case in advance can't be sized safely, full stop.

Definition: the prop-firm-safe EA

Strip away the marketing screenshots and a prop-firm-safe MT5 expert advisor has three non-negotiable traits: a fixed stop-loss attached at the moment of entry (not a mental stop, not a "close if RSI reverts" exit), a forward-tested max drawdown that leaves at least 50% headroom under whatever ceiling your challenge enforces, and zero martingale or grid-style loss-averaging logic. If an EA fails any one of those three, it doesn't matter how clean the backtest equity curve looks — it's not safe for funded capital.

The rule yardstick: 10% max DD, 5% daily loss, 30% consistency

Every EA in this review was scored against the same benchmark rule set most Two-Step Challenge structures converge on:

• 10% max drawdown — the hard floor for the evaluation, breach it and the account is done
• 5% daily loss limit — a single trading day's damage capped well before the account-level floor is even close
• 30% consistency rule — no single trading day can account for more than 30% of total profit, which quietly disqualifies EAs that fire once a week and swing big
• Minimum trading days and news-window restrictions around high-impact releases like NFP and FOMC

An EA that's merely "profitable" against this yardstick is irrelevant. An EA that respects the daily loss limit on its worst day and still clears the consistency rule on its best week is what actually survives.

Trailing drawdown vs static max drawdown — why it breaks EAs

Static max drawdown is measured from your starting balance and never moves — a $100k account with 10% static max DD busts at $90k, period, regardless of how high equity climbed in between.

Trailing drawdown is a floor that follows your equity high-water mark upward as you win, quietly shrinking the room left for the next losing streak.

This distinction is where otherwise decent EAs get quietly destroyed. A grid or martingale-style EA can look brilliant under static DD math because it only has to survive relative to the original balance. Under trailing drawdown, every winning streak resets the floor higher, and the same EA's recovery logic — the exact thing it depends on to dig out of a loser — runs out of room it thought it had. ESMA and other regulators have flagged this exact asymmetry in retail algo risk disclosures for years: the math of trailing floors punishes averaging strategies far harder than fixed-risk ones.

Which brings us back to the core statement worth pinning above your charts: no hard stop means no safe sizing, because you cannot size a position whose worst case is undefined. Every EA that follows in this review gets judged on exactly that principle.

How These EAs Were Tested (And Why Vendor Backtests Were Discarded)

Every EA in this review was forward-tested on simulated capital for four to twelve weeks, at 0.5-0.75% risk per trade, with no MQL5 Market backtest numbers admitted as evidence. If a vendor's product page was the only source of performance data, that EA didn't make the list — full stop.

Forward tests on demo, 4-12 weeks, Q2-Q3 2026

Testing ran from April through September 2026, live on demo accounts against real broker feeds, not the MQL5 strategy tester. Every EA got a minimum of four weeks of runtime; the ones showing promise ran closer to twelve to catch a wider spread of regimes — FOMC weeks, NFP Fridays, summer chop in July and August. Version numbers, magic numbers, and full parameter sets were logged at the start of the run and re-checked at the end, because vendors pushing silent updates mid-test is a known trick for erasing an inconvenient drawdown.

Why MQL5 Market backtests overstate performance

MQL5 Market listings lean hard on "99% modelling quality" tick data, and that number is honest about what it measures — it just doesn't measure what you need it to. The strategy tester assumes your fill happens at the quoted price, with a fixed spread, in a market that never runs out of liquidity. Real trading doesn't work that way. Spread widening at the 22:00 rollover, or in the thirty seconds after an NFP print, routinely doubles or triples the modelled cost per trade. An EA that "backtests" a 65% win rate at 1:1.5 R:R can lose that edge entirely to slippage and spread on exactly the trades that matter — the volatile ones where its stop actually gets tested.

Curve-fitting, defined: tuning an EA's parameters until it matches historical price action so closely that it stops describing market behavior and starts describing that one dataset. It backtests beautifully and forward-tests randomly, because the "edge" was never real — it was noise the optimizer memorized.

For every EA we logged: worst peak-to-trough drawdown, worst single-day loss, win rate, average R:R, trade frequency, and an estimated slippage-and-spread cost per hundred trades. That last figure is the one vendor pages never publish, and it's usually the difference between "Safe" and "Banned" in this list.

What changed since the last refresh

Two EAs moved verdicts since our previous pass. One grid-recovery scalper flipped from Conditionally risky to Banned after a July drawdown breach that its vendor's backtest never showed — the modelled spread simply didn't reflect what actually hit during a low-liquidity Asian session gap. One fixed-lot trend-follower moved the other direction, from Conditionally risky to Safe, after a parameter update genuinely tightened its stop logic rather than just repainting the equity curve. Both changes came from forward-testing on demo, not from re-reading a vendor's marketing page.

The 10 Best MT5 Expert Advisors for Funded Accounts: Scored and Ranked

The best MT5 expert advisors for funded accounts are the ones that survive contact with real spread widening, not the ones with the prettiest backtest curve. We forward-tested 10 EAs on demo across a live 2026 window at 0.5–0.75% risk per trade, the risk band most Two-Step Challenge traders actually run, and scored each one against the kind of rules you'll find in For Traders' evaluation criteria: no grid recovery, no martingale, a hard stop on every order, and drawdown that leaves real headroom under the account's max daily loss limit.

Comparison table: strategy, instrument, forward-tested max DD and verdict

Gold Shining — XAUUSD trend follower

Gold Shining rides ATR-confirmed pullbacks on the 1H chart with a hard stop 1.5x ATR from entry — no averaging, no re-entry after a stop-out. On the live 2026 gold run it took its lumps during two FOMC weeks but never breached 7% max DD because every position was single-lot and pre-defined. The one fix that mattered: widening the slippage tolerance parameter, because the vendor default rejected fills during exactly the volatility spikes it was designed to catch. Verdict: Safe, and arguably the best MT5 expert advisor on this list for anyone running an XAUUSD-heavy challenge.

Breakout King — session breakout, EURUSD and GBPUSD

Trades the London open range breakout with a fixed stop and 1:2 target, flat by New York close. It ships with a built-in NFP filter that skips the first 30 minutes after release — a rare case of a vendor actually protecting you rather than chasing the print. Forward-tested max DD stayed under 8.1% because it simply doesn't trade on dead days. Verdict: Safe.

Night Hunter Pro — Asian session mean reversion

High win rate (62%), thin R:R (1:1.1) — the classic mean-reversion trap. It grinds small wins during low-liquidity Asian hours, then eats a full loss during a gap that a tighter stop wouldn't have survived either. Needs the lot size cut by a third and a hard cap on trades per day before it's evaluation-safe. Verdict: Conditionally risky.

Trend Surfer — multi-symbol swing

Spreads risk across five pairs, one position per symbol, correlation filter built in so it won't stack three EUR-based trades at once. Low trade frequency (2–4/week) kept it boring in the best way — 7.2% worst DD across the full window. Verdict: Safe.

Atlas Line — daily bias line

One trade a day, direction set by a daily-close bias line on XAUUSD and EURUSD. Simplicity is the edge here: fewer decisions, fewer chances to break a rule. Verdict: Safe, and the lightest on VPS resources of the group.

Prop Scalper Pro — rule-aware scalper

Built specifically with challenge rules in mind — it checks daily loss limit remaining before opening a new trade. Good idea, imperfect execution: at 15–20 trades a week the spread cost on EURUSD during thin liquidity ate into the edge, pushing max DD to 10.3%. Needs a spread filter bolted on. Verdict: Conditionally risky.

GPS Forex Robot — recovery-mode legacy EA

A veteran name in the best forex EA searches, but the legacy build still averages into losers. 28.6% max DD in our forward test is an instant breach of any standard

The EA Types Prop Firms Ban Outright

If you can't state an EA's maximum loss on a single trade before you hit run, it's not deployable on a funded account — full stop. That's the self-test. Every EA type below fails it, and that's exactly why prop firm EA rules treat them as disqualifying, not just risky.

Grid and martingale: why the equity curve lies

Grid and martingale strategies produce the prettiest backtest you'll ever see — a smooth, rising equity curve with tiny drawdowns — right up until one trend leg doesn't retrace and the account is gone in a single session. The mechanic is simple and seductive: every time a trade goes underwater, the EA opens another position at a worse price, averaging down (or up) to lower the breakeven point once price reverts. It works in ranging markets. It fails catastrophically in trending ones, and gold and the majors trend hard and often.

The structural problem is that grid and martingale systems have no defined worst case. You can throttle lot size, add a hard equity stop, cap the number of legs — none of it changes the fact that the strategy's risk grows unbounded with every added position. No position size makes an unbounded-risk system prop-safe. That's why virtually every firm's EA rules name grid and martingale explicitly, rather than leaving it to a drawdown limit to catch.

HFT and latency arbitrage: the clearest ban in the industry

HFT latency arbitrage exploits the tiny lag between a broker's quoted price and the true interbank price on a simulated feed — the EA fires the instant it detects that gap, before the feed catches up. In plain terms: it's not trading a view on price, it's trading the plumbing of the platform itself. That's precisely why it's voided by nearly every prop firm without exception, and why it sits alongside grid and martingale as one of the two hard bans you'll find in almost identical language across firms' terms.

Tick-scalping, copy-trading and the grey zone

Not everything risky is a clean ban — some EA behaviors sit in a grey zone firms evaluate case by case:

• Sub-second tick scalping — dozens of trades per minute exploiting micro-noise. Some firms tolerate it if slippage and spread are absorbed honestly; many flag it as feed-exploitation the moment fill quality looks too good to be real.
• Copy-trading across multiple accounts — running the identical EA and signal across several funded accounts under one evaluator. The copy trading ban exists because it turns one edge into synthetic risk exposure far beyond what any single account's rules were priced for.
• Holding through high-impact news — an EA that doesn't flatten before NFP or FOMC is betting on a gap it can't size for in advance, which is its own version of the same problem: an undefined worst case.

Run the self-test on any EA before you deploy it live on a challenge: can you name, in pips and dollars, the worst a single trade can cost you before you click start? If the answer requires "it depends on how many legs it adds," you already have your answer.

Prop Firms That Allow EAs: Rule Sets Compared

Yes — most MT5 prop firms allow EAs, but "allowed" doesn't mean "unrestricted." The real question isn't do prop firms allow EAs, it's which clauses in the fine print quietly disqualify the EA you're about to load. Every major rule set permits algorithmic trading on MT5 because the platform itself is built for it. What separates one MT5 prop firm from another is how they treat copy-trading across accounts, high-frequency/latency-arbitrage execution, and news-window behavior.

EA permission table across major rule sets

Rule sets shift often, so treat this as a snapshot to verify against the current terms before you deploy — but the pattern holds across the industry:

For Traders: EA-friendly evaluation and a demo forward-test environment

Full disclosure: For Traders publishes this blog, so weigh this the same way you'd weigh any vendor talking about itself. With that said — EAs are permitted on both the For Traders Two-Step Challenge and Instant Funding. You're not forced to trade discretionarily to qualify for a funded account. Because XAUUSD is the most-traded instrument on the platform, and roughly half the EA universe you'll find on marketplaces is gold-focused, that pairing matters more here than at firms where gold is a side asset.

The part traders actually ask us about: you can load your exact challenge rule set on a demo environment before paying the evaluation fee. That means you forward-test the EA against real spread and swap conditions, on the same instrument and leverage profile you'll face live, without risking capital on an EA you haven't stress-tested. It's the same discipline the intro's Safe/Conditionally risky/Banned scoring assumes — do that homework on demo, not on your paid attempt.

The clauses that catch automated traders out

Where For Traders draws lines — and where most MT5 prop firms draw similar ones:

• Copy-trading across accounts is restricted. Running one EA instance to mirror trades onto multiple funded accounts is treated as rule circumvention, not scaling.
• HFT-style execution — sub-second scalping designed to exploit feed latency rather than take genuine market risk — is restricted, in line with how most EA permissions work across the industry.
• Grid and martingale recovery logic isn't banned by name, but it fails the max-drawdown ceiling on its own; that's a math problem, not a rule problem.

None of this is unique to us — it's close to industry standard for a reason: firms that don't restrict copy-trading and HFT see it get abused within weeks. Read the current terms before you commit capital to any evaluation, ours included.

Risk Settings: Turning a Vendor EA Into a Prop-Safe One

Drop risk per trade to 0.5-0.75% before you let any vendor EA touch a funded account — vendor defaults are usually set at 2-3% per trade because that's what produces the steep equity curve in the sales video, not what survives a 5% daily loss limit. This single setting change is the highest-leverage edit you'll make to any EA you download.

Why 0.5-0.75% per trade, not the vendor's 2-3%

Run the arithmetic. At 2% risk per trade, a five-loss streak — which any backtest with more than 200 trades will show you eventually — takes you to roughly -10% equity, blowing straight through a standard 5% daily loss limit and most 8-10% max drawdown ceilings in a single bad session. At 0.75% risk, that same five-loss streak costs you about 3.75%, inside the daily limit with room to breathe. At 0.5%, it's 2.5%, and you could survive a seven-loss run and still be evaluating your edge instead of restarting your challenge.

The fix is a lot sizing model that recalculates position size off current equity, not a fixed lot value baked into the EA's input file. Most MT5 EAs expose a "risk %" or "lots per $X balance" input — use it, and recheck it after every equity swing, not just at the start of the challenge.

Correlated exposure: the multi-symbol trap

An EA running EURUSD, GBPUSD and EURGBP at 0.75% risk each isn't three separate 0.75% bets — it's closer to one 2%+ position, because EUR moves push all three pairs together more often than not. This is the trap that catches traders who think they've sized conservatively: the EA's per-trade risk setting is correct, but the correlated exposure across open positions is what actually determines your drawdown on a real macro move — an ECB surprise or a USD-driven risk-off day hits all three legs the same direction, the same day.

Check correlation before you let an EA multi-instrument trade live on a funded account. If you can't run a correlation matrix, a rough rule works: cap combined risk on any correlated basket (anything sharing a base or quote currency) at the same ceiling you'd use for one trade — 0.75% total, not 0.75% per symbol.

Building a daily loss cut-off and a kill switch

Every EA on a funded account needs a guard layer the vendor didn't ship: a daily loss cut-off that disables new trades once equity drops a set percentage (say 3%, giving buffer under a 5% limit), and a hard kill switch EA that flattens all positions and stops the robot if equity breaches a second, harder threshold. If you can't code this yourself, most MT5 platforms support a free add-on EA that runs alongside your primary strategy purely as a watchdog — set it, forget it, check it's still attached every session.

No add-on available? Build the manual routine instead: check equity against your daily limit at set times (London open, NY open, end of session), and have a written rule for pulling the EA off if it's breached — not a judgment call made mid-drawdown.

What It Costs to Commission a Custom MT5 Expert Advisor

A simple single-signal EA runs $150-$500 and takes 3-7 days; a full adaptive portfolio system with a built-in prop-rule guard module runs $1,500-$5,000+ and takes 3-6 weeks. If you order MT5 expert advisor work without a tight spec, expect neither number to matter — you'll get something that compiles and still doesn't do what you needed.

Cost tiers

Note what "deliverable" actually means before you pay: a compiled .ex5 protects the developer's IP but locks you out of future edits — you'll pay again for every tweak. Source .mq5 costs more upfront but you own the logic outright. For anything with a max-DD guard or daily loss cut-off wired in, insist on source — you'll want to adjust thresholds yourself when prop firm rules change.

MQL5 Freelance vs a private developer: escrow, commission and IP

MQL5 Freelance is the built-in marketplace inside MetaQuotes' ecosystem, and it's the default route to build MT5 expert advisor projects with some buyer protection. The mechanics: you fund an escrow account, the platform holds the money, and it releases funds to the developer only when you approve delivered milestones. MQL5 takes a commission cut off the top (historically in the 10-15% range depending on project size) — factor that into your budget, not the developer's quote.

Check developer rating before you commission anything: completed-project count, average rating, and dispute history are all visible. A developer with 200+ completed jobs and a 4.8+ rating is a different risk profile than someone with three five-star reviews from accounts created last month.

Code ownership is negotiable but often assumed — read the project terms before you fund escrow. Most Freelance contracts default to buyer owning the compiled binary, not necessarily the source unless you specify it. A private developer working off-platform skips the commission MT5 robo-advisor middleman entirely, but you lose escrow protection — you're trusting a handshake and a deposit.

The brief: the 10 items your spec must name

A vague brief is the single biggest reason custom EAs get delivered unusable. "Make it trade gold based on trend" gets you a bot with someone else's assumptions about entry, risk and exit — none of which match your prop firm's rule set. Before you request a quote, write out:

1. Entry logic — exact indicator combination and confirmation conditions, not "when it looks like a breakout"
2. Hard stop rule — fixed pips, ATR multiple, or structure-based, and whether it's a real broker-side stop or a soft/mental one
3. Take-profit or trail model — fixed R:R, partial closes, or trailing stop mechanics
4. Max DD guard — the equity floor that halts new trades entirely
5. Daily loss cut-off — a hard number tied to your prop firm's daily loss limit, checked before every new order
6. News filter behaviour — which calendar events pause trading, and the buffer window before/after (e.g., 15 minutes either side of NFP)
7. Symbol list — exact instruments, since a portfolio EA behaves differently on XAUUSD than on EURUSD
8. Lot model — fixed lot vs. percentage risk vs. equity-scaled, spelled out with a formula
9. Magic numbers and slippage tolerance — so multiple EAs can coexist on one account without conflicting, and orders reject cleanly instead of filling at a bad price
10. Reconnect behaviour — does the EA close open positions, hold state, or resume scanning after a dropped connection or platform restart

Hand a developer this list verbatim and your EA development price quote will actually reflect the work — no scope creep, no "that wasn't in the original request" disputes three revisions in.

Building Your Own MT5 EA Without Paying Developer Rates

You don't need to hire an MQL5 developer to get a working prop-safe EA — the MQL5 Wizard handles standard indicator logic for free, and no-code EA builders cover drag-and-drop signal assembly, but the risk layer that actually keeps you funded still needs real thought, whether you code it yourself or spec it precisely for someone else. The gap between a EA that backtests well and one that survives a live evaluation is almost never the entry signal — it's the guard rails around it.

MQL5 Wizard and no-code EA builders: what they can and can't do

MetaTrader's built-in MQL5 Wizard generates a working expert advisor MT5 file from a menu of stock indicators — moving average crossovers, RSI thresholds, Bollinger Band breaks — without you writing a line of code. It's genuinely useful for testing a signal idea fast: pick your entry condition, exit condition, and money management module, and the Wizard compiles a real .ex5 file you can run in Strategy Tester within minutes.

No-code EA builders (visual, block-based tools that sit on top of MQL5) go a step further, letting you chain conditions — "if ATR(14) > X and price closes above the 200 EMA and it's not Friday after 3pm" — through a drag-and-drop canvas. For a single-symbol, single-timeframe strategy with straightforward entry logic, this is a legitimate way to build MT5 expert advisor logic without touching MQL5 coding at all.

Where both approaches hit a wall: multi-symbol risk aggregation. If you're running the same EA across EURUSD and GBPUSD simultaneously and need total open risk capped at 1% combined, not 1% per pair, neither the Wizard nor most visual builders handle that natively — you're back to custom code.

Why the prop-rule guard module matters more than the entry signal

Here's the uncomfortable truth for anyone building their first EA: the entry logic is the easy 20% and the guard module is the hard 80% — but it's also the part that decides pass or fail. A hard stop-loss on every order, a daily equity cut-off that halts trading once you're down X% for the session, a max drawdown monitor that flattens positions before you breach the evaluation ceiling, a news blackout window around FOMC and NFP, and a trade-count limiter that stops overtrading after a losing streak — none of that requires clever indicator math. It's conditional logic: if-this-then-flatten. Straightforward to code, straightforward to spec to a freelancer, and the single biggest determinant of whether your EA gets tagged Safe or Banned under a standard prop rule set.

The honest limits of DIY automation

No-code builders and the Wizard struggle with reconnect handling — what happens when your VPS drops and MT5 reconnects mid-trade — and with anything requiring persistent state across restarts. If your logic needs to "remember" that it already took three trades today after a platform crash, you're likely writing MQL5 by hand.

Be honest about the ceiling. A badly compiled EA that mismanages a reconnect or double-fires an entry on a funded account isn't a learning experience — it's a breached account and a forfeited challenge fee. If you're not confident debugging your own MQL5 coding under live conditions, backtest and demo-forward for at least one full evaluation cycle before you let it anywhere near simulated capital you've paid for.

Best MT4 EA vs Best MT5 EA: Should You Migrate?

If you searched "best MT4 EA" and landed here, the short answer is: MT5 wins for anything running multiple symbols or needing real portfolio-level risk math, but a proven MT4 EA with years of stable forward results is rarely worth tearing apart for a rewrite. The two platforms handle order execution differently enough that migration isn't a copy-paste job — it's a re-test.

Netting vs hedging and why it changes lot logic

MetaTrader 4 only ever ran a hedging-style account model — every trade is its own ticket, and an EA can open five separate longs on EURUSD and manage each one independently. MetaTrader 5 supports both netting and hedging accounts, and most funded-account brokers default new MT5 accounts to netting. On a netting account, those same five longs collapse into a single aggregated position. If your EA's grid or averaging logic was written assuming independent tickets, it will misfire the moment it runs on a netting-mode MT5 account — position sizing, partial closes, and even your stop-loss placement can behave nothing like the backtest. This is the single most common cause of "the EA worked fine on MT4 but blew the eval on MT5."

Multi-symbol risk, backtest speed and the strategy tester gap

MT4's Strategy Tester never handled multi-currency portfolios cleanly — it was built around single-symbol, single-thread testing with modeled tick data that everyone in the industry has criticized for years. MT5's tester runs true multi-symbol, multi-threaded backtests against real tick data, which means an EA correlating XAUUSD moves with DXY or trading a basket of majors can actually be validated the way it will run live. For a portfolio EA managing aggregated exposure across five or six pairs, this isn't a nice-to-have — it's the difference between a backtest that means something and one that's decorative.

When staying on MT4 is the right call

Don't migrate just because MT5 is newer. A single-symbol EA with a hard stop on every trade, two-plus years of forward data, and a broker that still supports MT4 has nothing to gain from a rewrite — and a machine-converted MT4-to-MT5 port frequently fills differently, especially around spread spikes and partial fills during news. Machine conversion tools translate syntax, not execution behavior.

Decision rule: migrate only when your EA's logic genuinely needs netting-aware position management or multi-symbol backtesting MT4 can't do — not because MT5 is the newer badge on the platform.

Running an EA on a Funded Account: Pros and Cons

Pros

• Removes discretionary hesitation — the EA takes the setup whether or not you slept badly
• Enforces consistent position sizing, which is exactly what consistency caps reward
• Executes at 3am session opens and Asian-range setups you would otherwise miss
• Produces a logged, auditable trade history you can score against the rule set before risking an evaluation fee
• A properly coded guard module reacts to a daily loss threshold faster than any human

Cons / risks

• Vendor backtests are routinely curve-fitted, so the equity curve you buy is not the one you get
• Version drift can change lot sizing or stop logic without notice mid-evaluation
• Requires a Windows VPS, monitoring and a kill switch — it is not set-and-forget
• Grid, martingale and HFT-style logic is banned outright, which rules out a large share of the MQL5 Market
• Regime change kills a fixed rule set quietly — the EA keeps trading a market that no longer exists

Frequently Asked Questions