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Tag: Myfxbook

  • How to Monitor Your Forex EA Remotely: Tools and Best Practices

    Practical Guides · 7 min read

    Running an EA on a VPS is not a set-and-forget operation. It is an autonomous system that requires periodic oversight — not to second-guess its decisions, but to ensure it is running correctly, the connection to the broker is active, and no technical issues have silently disrupted its operation.

    The key word is periodic: daily checks introduce unnecessary anxiety and decision pressure. Weekly reviews balance awareness with autonomy. Emergency alerts handle the edge cases where immediate attention is genuinely needed.

    The MT4/MT5 Mobile App

    The MetaTrader mobile app (available for iOS and Android) connects directly to your live account and shows real-time balance, equity, open positions, and trade history. This is the most convenient remote monitoring tool for most EA traders.

    Key things to check on the mobile app weekly:

    • Account connection status — shows “Connected” and the broker server name
    • Open positions — how many, which direction, current floating P/L
    • Account balance vs equity — large divergence indicates a deep recovery cycle in progress
    • Recent closed trades — confirming cycles are closing and profits are being realized

    Myfxbook for Weekly Performance Review

    Myfxbook provides a better performance visualization than the mobile app for weekly reviews. The equity curve, drawdown chart, and trade statistics give a cleaner picture of how the current week compares to historical averages.

    Connect your account to Myfxbook once and the data updates automatically. A weekly 5-minute review of the equity curve and current drawdown percentage is sufficient for most EA operations.

    Setting Up Alerts for Emergency Conditions

    Some conditions require immediate attention: kill switch triggered, VPS connectivity lost, broker margin call approaching. Setting up alerts for these conditions allows you to respond quickly when needed without constant monitoring.

    Alert Options

    • MT4/MT5 email alerts: Configure in Tools > Options > Email to receive alerts when specific conditions trigger (equity drop below threshold, large floating loss)
    • Myfxbook alerts: Set email or SMS notifications for drawdown exceeding a defined percentage
    • VPS uptime monitoring: Services like UptimeRobot (free) can monitor VPS connectivity and alert you if the server goes offline

    What Not to Do

    The most common monitoring mistake: checking the account multiple times daily during a recovery cycle. This increases anxiety, creates intervention pressure, and provides no operational benefit — the EA does not need your help managing open positions that it is designed to manage.

    Set the review schedule before going live and commit to it: weekly check plus emergency alerts. Everything else is noise that reduces your enjoyment of what should be a genuinely passive operation.

    Try It on a Demo Account First

    All BotFXPro EAs include a free MQL5 demo. Run it in Strategy Tester before committing to live.

    Chronos Algo on MQL5 →

  • MQL5 Signals: What They Are and How to Use Them to Evaluate EAs

    EA Buyer’s Guide · 8 min read

    MQL5 Signals is a copy-trading service built into MetaTrader. Subscribers pay a monthly fee to have a signal provider’s trades copied automatically to their own account. For EA developers, it is both a distribution channel and a form of public accountability — every trade taken on the signal account is visible to subscribers.

    For buyers evaluating an EA, a developer’s MQL5 Signal page is one of the most useful verification tools available — second only to a directly verified Myfxbook account.

    What MQL5 Signals Shows

    A Signal page displays the provider’s live trading account performance including equity curve, drawdown history, trade list, win rate, profit factor, and subscriber count. The data is pulled directly from the provider’s MetaTrader account by MQL5’s servers — it cannot be manually adjusted.

    Key metrics visible on a Signal page:

    Metric What to Look For
    Signal age6+ months minimum for meaningful evaluation
    Max drawdownBelow backtest maximum is reassuring; above is a red flag
    Profit factorAbove 1.3 is acceptable; above 1.5 is solid
    Subscriber countHigh subscriber retention over time is a social proof signal
    Weeks with signalContinuous operation without gaps indicates stable infrastructure

    Signals vs Myfxbook: Key Differences

    Both platforms show verified live trading data. The differences matter for how you use each:

    • MQL5 Signals is optimized for copy-trading. Metrics are calibrated to show what subscribers experience — including potential slippage from the provider’s account to the subscriber’s account. This makes it useful for evaluating how a subscription would actually perform for a follower.
    • Myfxbook is optimized for performance analysis. Its metrics suite is more comprehensive — better drawdown analysis, more detailed trade statistics, and cleaner equity curve visualization.

    For EA evaluation, both together are better than either alone. An EA with a MQL5 Signal page and a Myfxbook verified account provides two independent data sources showing the same trading account from different angles.

    Signal Slippage: The Copy-Trading Risk

    One important caveat when using MQL5 Signals as a copy-trading service (not just for evaluation): subscriber accounts do not get the exact same execution as the provider account. Orders are copied with a delay, and fast-moving markets can result in subscriber fills that are significantly worse than the provider’s fills.

    For martingale EAs specifically, this slippage matters less because entries are not time-critical — the system places orders at defined price intervals and closes positions when take-profit levels are hit. The impact of copy-trading slippage is manageable compared to scalping strategies where entry precision is essential.

    What to Do with the Information

    Use MQL5 Signal data as one input in a multi-source evaluation process. Cross-reference with:

    • The Myfxbook verified account (if available)
    • The published backtest — does live drawdown match the simulation?
    • The product page description — do the live results match the claimed strategy behavior?
    • Developer response to questions in the MQL5 comments section

    A Signal page that shows consistent, long-running performance with drawdown matching backtests is one of the strongest independent verifications an EA developer can provide.

    Try It on a Demo Account First

    All BotFXPro EAs include a free MQL5 demo. Run it in Strategy Tester before committing to live.

    Chronos Algo on MQL5 →

  • How to Read a Forex EA Equity Curve: What Every Shape Tells You

    EA Buyer’s Guide · Series B · 8 min read

    The equity curve is the most revealing chart you can study before investing in an EA. It shows not just profit and loss — it shows the character of the strategy: how it handles stress, how quickly it recovers, and whether its smooth appearance masks hidden risk.

    Most traders look at the headline return figure. Experienced EA evaluators look at the shape of the curve. This article decodes what different curve patterns mean.

    The Balance Curve vs the Equity Curve

    Myfxbook and MT4/MT5 display two lines: the balance curve (closed trades only) and the equity curve (including open floating positions). For most non-martingale strategies, these lines track closely together. For martingale systems, they can diverge dramatically.

    A martingale EA can show a rising balance curve — lots of closed winning trades — while the equity curve dips sharply downward, reflecting large open floating losses in an active recovery cycle. The balance line looks good. The real picture is the equity line.

    Always Look at the Equity Curve, Not Just Balance

    If a developer only shows the balance curve, ask why. A smooth balance curve with a hidden equity dip can mean the account survived a near-catastrophic drawdown that the published chart does not show. Insist on seeing the equity curve before evaluating any martingale EA.

    Five Equity Curve Patterns and What They Mean

    Pattern 1: Smooth Linear Rise

    Almost always indicates overfitting or martingale with hidden equity exposure. Real trading strategies have variance. A curve with minimal dips across years is suspicious — either the system recovers so quickly that drawdowns are invisible at the zoom level, or the backtest was optimized to remove losing periods. Zoom in to verify.

    Pattern 2: Staircase (Plateau Then Jump)

    Characteristic of martingale recovery systems. Long flat periods (recovery cycle in progress, no closed profits) followed by a sharp upward jump (all orders close profitably). This is normal and expected behavior for adaptive martingale. The concern is the depth and duration of the flat periods over time.

    Pattern 3: Consistent Small Drawdowns

    Characteristic of trend-following or breakout systems with fixed stop losses. Each trade either hits the stop or the target. Losses are small and frequent, wins are larger and less frequent. The curve looks choppy but honest. The Calmar ratio and Sharpe ratio will reveal whether the return justifies the volatility.

    Pattern 4: Sudden Cliff Drop

    A sharp, near-vertical drop in the equity or balance curve indicates a catastrophic event — martingale kill switch triggered, black swan move through all stop levels, or a major system failure. How the curve behaves after the drop tells you whether the system recovered or went into a spiral. A single cliff with subsequent recovery is different from a cliff followed by continued decline.

    Pattern 5: Gradual Slope Flattening

    Returns decreasing over time with the same drawdown profile. A common signal of strategy decay — the edge is eroding. Could indicate changed market conditions, increased competition for the same pattern, or spread increases at the broker. A three-year curve that shows strong performance in year one and two but flat returns in year three warrants investigation.

    Key Metrics to Read Alongside the Curve

    • Maximum equity drawdown — the deepest dip from peak to trough on the equity curve. The most important single number.
    • Recovery factor — total net profit divided by maximum drawdown. Above 3.0 is good. Above 5.0 is excellent.
    • Average drawdown duration — how long, on average, does the system spend below its previous equity high? Shorter is better.
    • Drawdown frequency — how many separate drawdown periods appear across the test period? Frequent shallow drawdowns are healthier than rare catastrophic ones.

    Try It on a Demo Account First

    All BotFXPro EAs include a free MQL5 demo. Run it in Strategy Tester before committing to live.

    Chronos Algo — Verified Live Results on MQL5 →

  • Free vs Paid Forex EAs: Is the Price Worth It?

    EA Buyer’s Guide · Series B, Part 5 (Final) · 7 min read

    MQL5 has hundreds of free EAs available for download. Many cost nothing. Some of the most downloaded EAs on the platform have zero price tags and thousands of users.

    Paid EAs range from $30 to $3,000+. The question is not whether free EAs are good or bad — some are excellent — but what the price difference actually reflects, and how to evaluate whether it matters for your situation.

    What You Get With a Free EA

    Free EAs on MQL5 typically fall into one of three categories:

    1. Educational or Demo Systems

    Simple strategies released by developers to demonstrate concepts, build reputation, or attract buyers to premium products. Often functional but not optimized for real trading.

    2. Community-Contributed Open Source

    Strategies shared by experienced traders with no commercial intent. These can be genuinely useful, particularly for traders who want to customize code. Quality varies enormously.

    3. Abandoned or Outdated Systems

    EAs that were once sold, are no longer supported, and have been made free because the developer moved on. May have worked in a different market environment. Often have no live results and no documentation.

    What You Pay For With a Paid EA

    Paid EAs, when priced appropriately, reflect four things the free market typically does not provide:

    • Development time and intellectual property — building and testing a robust EA takes hundreds of hours. The price reflects that investment.
    • Ongoing updates and maintenance — markets change. An EA that worked in 2020 needs adjustments in 2025. Paid developers have financial incentive to maintain their products.
    • Post-sale support — broker compatibility questions, settings guidance, parameter optimization for specific account sizes. Free EA authors have no obligation to help.
    • Verified live results — running a real account for 12+ months to demonstrate performance has a cost. Paid EAs are more likely to include this evidence because it justifies the price.

    When Free EAs Are the Right Choice

    Free EAs make sense when you want to learn algorithmic trading by studying existing code, test a concept before building a proprietary version, or experiment with strategies on a small demo account.

    For serious live trading, the lack of ongoing support and verified results is a meaningful gap. You are essentially running someone else’s code with no accountability or documentation.

    When Paid EAs Make Sense

    A paid EA with verified live results, documentation, and active developer support is worth the price when it represents genuine edge that you would not find or build yourself within a reasonable timeframe.

    The breakeven math is simple: if a $50 lifetime EA generates an average of $20 per month on a $1,000 account, it pays for itself in under three months. The question is not whether $50 is a lot — it is whether the EA reliably generates returns above its cost.

    The Red Flags to Watch

    Price alone is not a quality signal. A $2,000 EA without verified live results is worse value than a $50 EA with 18 months of verified performance. Always evaluate the evidence, not the price tag.

    Try It on a Demo Account First

    All BotFXPro EAs include a free MQL5 demo. Run it in Strategy Tester before committing to live.

    Chronos Algo — Lifetime License on MQL5 →

  • How to Verify EA Performance on Myfxbook: A Step-by-Step Guide

    EA Buyer’s Guide · Series B, Part 3 · 8 min read

    Myfxbook is the standard verification platform for forex trading accounts. When an EA developer links to a Myfxbook account, it means their performance data is independently pulled from the broker — not self-reported or manually entered.

    But Myfxbook shows a lot of information, and not all of it is equally important. This guide walks through every key metric on a verified Myfxbook account page and explains what to focus on when evaluating an EA.

    Step 1: Check the Verification Status

    The first thing to confirm is whether the account is verified. A verified account shows a green checkmark and the text “Verified” next to the account name. This means Myfxbook has a live connection to the broker and is pulling real trade data.

    An unverified account can show anything. Developers can manually enter trades, hide losing periods, or fabricate results. Never base a purchase decision on an unverified account.

    Step 2: Account Age and Track Record Length

    Check the account start date. This tells you how long the EA has been running on this specific account in live conditions.

    • Less than 3 months — insufficient data. Too short to draw conclusions.
    • 3-6 months — useful starting point. Shows the EA is operational but has not been through multiple market conditions.
    • 6-12 months — meaningful. Covers at least one full quarter cycle of market behavior.
    • 12+ months — strong signal. Has survived real drawdown periods, seasonal patterns, and at least one significant macro event.

    Step 3: Absolute Gain vs Balance

    Myfxbook shows two return figures: Absolute Gain and Relative Gain. The difference matters.

    Absolute Gain calculates return based on all deposits and withdrawals. If an account was topped up midway through, absolute gain accounts for that. Relative gain is simply profit divided by starting balance — it ignores subsequent deposits.

    For evaluating an EA, focus on the equity curve shape rather than the headline percentage. A smooth upward curve with controlled dips tells you more than a high percentage figure that may include favorable timing or deposit manipulation.

    Step 4: Drawdown — The Most Important Number

    Myfxbook shows both Balance Drawdown and Equity Drawdown. These are different.

    Balance Drawdown

    The maximum peak-to-trough decline in the account balance (realized losses only). This number can look small even when the account is in deep trouble — because open floating losses are not included.

    Equity Drawdown

    Includes open floating losses. This is the real drawdown figure — the maximum decline including positions that were open at the time. For martingale EAs, equity drawdown will always be higher than balance drawdown and is the number that reflects true risk.

    Always compare the equity drawdown to the stated backtest drawdown. If the live equity drawdown already exceeds the backtest maximum, something has changed.

    Step 5: Open Trades and Floating P/L

    If the account has open trades at the time you are viewing it, Myfxbook will show the current floating profit or loss. This is critical context for interpreting the balance and gain figures.

    An account showing $500 profit but $1,200 in open floating losses is actually in a -$700 position. The balance looks fine but the equity does not. Always check the open trades section before trusting the headline return figure.

    Step 6: Win Rate and Trade Statistics

    Myfxbook provides trade-level statistics including win rate, average win, average loss, and profit factor.

    For martingale EAs, win rate will typically be high — 80-95% — because most recovery cycles close profitably. This is expected and not a meaningful signal by itself. What matters is the average loss when a cycle fails versus the average win when it succeeds.

    A healthy martingale system typically shows: high win rate (good), average loss much larger than average win (expected and acceptable), and positive profit factor above 1.0 (required for long-term viability).

    Step 7: Lot Sizes and Position Sizing

    Check the trade history tab and look at the lot sizes used relative to the account balance. A $10,000 account consistently trading 0.01 lots is very conservative. The same account trading 1.0+ lots is aggressively sized.

    Oversized lot sizing produces impressive short-term returns but dramatically increases drawdown risk. If the live account is running significantly larger lots than recommended for the balance, the impressive returns come at unsustainable risk.

    Quick Reference

    Verified: Yes. Age: 12+ months. Equity drawdown: below backtest max. Open positions: net positive or near zero. Lot sizing: conservative relative to balance. If all five check out, the live account supports the backtest claims.

    Next in the EA Buyer’s Guide Series

    Part 4: Choosing Between EURUSD, USDCAD, and Gold EAs — a practical framework for deciding which EA fits your account size, risk tolerance, and market preference.

    Publishing May 22, 2026

    Try It on a Demo Account First

    All BotFXPro EAs include a free MQL5 demo. Run it in Strategy Tester before committing to live.

    Chronos Algo — Verified Live Results on MQL5 →

  • Backtest vs Live Results: Why Forex EAs Diverge (And How to Spot It)

    EA Buyer’s Guide · Series B, Part 2 · 9 min read

    Every EA developer publishes a backtest. Many of those backtests look excellent — high returns, low drawdown, decades of data. Yet a significant portion of those same EAs fail to replicate that performance in live markets.

    This is not always fraud. It is often the result of specific, well-documented gaps between simulation and reality. Understanding those gaps is how you evaluate whether a backtest is meaningful or misleading.

    Gap 1: Overfitting (Curve Fitting)

    Overfitting is the most common and most dangerous problem in EA backtesting. It occurs when a developer optimizes their strategy parameters so precisely to historical data that the EA performs perfectly in the past but has no predictive power for the future.

    A simple example: if you test 10,000 parameter combinations on the same historical dataset, statistical chance alone guarantees that some combinations will produce extraordinary backtest results. Those results are not a signal — they are noise that happens to match the specific data tested.

    Red Flag: Too-Perfect Backtests

    Backtests showing 90%+ win rates, near-zero drawdown, and consistent monthly returns across all years are almost always overfit. Real market edges have losing periods. If the backtest looks too good, it probably is.

    Gap 2: Spread Discrepancy

    Most backtests use a fixed spread — a single number applied to every bar in the test. Live markets have variable spreads that widen significantly during news events, session transitions, and low-liquidity periods.

    For an EA that trades frequently, even a 0.3 pip difference between backtest spread and live spread compounds into meaningful performance drag. For scalping EAs that target 5-10 pip profits, a backtest at 0.5 pips versus live at 1.5 pips can turn a profitable system into a losing one.

    Gap 3: Slippage and Execution

    Backtests execute at the exact price the strategy requests. Live markets do not. Orders fill at the next available price, which during fast-moving markets can differ meaningfully from the target entry.

    For strategies with tight entry logic — entering on a specific candle close price, for instance — even 1-2 pip slippage per trade changes the character of the results.

    Gap 4: Historical Data Quality

    MetaTrader’s built-in historical data has gaps, errors, and inconsistencies — particularly for older periods. A backtest using broker-provided data from 2010 may contain price spikes, missing candles, and incorrect OHLC values that artificially improve or distort results.

    High-quality backtests use independently sourced tick data from providers like Dukascopy or Tick Data Suite. The quality percentage displayed in the backtest report should be above 90% for results to be reliable.

    Gap 5: Market Regime Change

    Markets change over time. A strategy optimized for the low-volatility, range-bound conditions of 2014-2017 may struggle during the high-volatility, trending conditions of 2022. A strategy built on EURUSD behavior before algorithmic trading dominated the market will behave differently now that 70%+ of forex volume is automated.

    This is not a flaw in backtesting — it is a fundamental reality. Strategies need to be robust to regime changes, not just optimized for a specific historical period.

    How to Evaluate a Backtest Honestly

    Backtest Evaluation Framework

    • Length: 10+ years preferred. Covers multiple market regimes.
    • Modeling: Every Tick or Every Tick Based on Real Ticks. Quality above 90%.
    • Spread: Realistic for the broker you plan to use. EURUSD: minimum 1.0 pip.
    • Out-of-sample period: The best backtests hold out 20-30% of historical data that was never used in optimization. Strong performance on out-of-sample data is a genuine signal.
    • Drawdown profile: Are losing periods consistent with the strategy logic, or do they appear randomly?
    • Correlation with live: Does the developer have live results that show similar patterns to the backtest?

    The Right Way to Use Backtests

    A backtest should be treated as a hypothesis, not a guarantee. It tells you: this strategy has an edge in historical data, assuming conditions similar to the past continue.

    Live results tell you whether that hypothesis holds up when the EA faces real spreads, real slippage, and real market conditions it has never seen before.

    The combination of a well-constructed backtest and verified live results gives you the highest confidence available in EA selection. Either one alone is insufficient.

    Next in the EA Buyer’s Guide Series

    Part 3: How to Verify EA Performance on Myfxbook — a step-by-step walkthrough of every metric on a Myfxbook verified account page.

    Publishing May 19, 2026

    Try It on a Demo Account First

    All BotFXPro EAs include a free MQL5 demo. Run it in Strategy Tester before committing to live.

    View Chronos Algo Live Results →

  • How to Read an MQL5 EA Product Page: What to Trust and What to Ignore

    EA Buyer’s Guide · Series B, Part 1 · 8 min read

    MQL5 is the largest marketplace for forex Expert Advisors. It is also one of the most difficult to navigate as a buyer.

    Product pages are long, full of statistics, and written by the developers themselves — people who have every incentive to present their EA in the best possible light. Without knowing what to look for, it is easy to confuse a well-presented EA with a genuinely profitable one.

    This guide walks through every major section of an MQL5 EA product page and explains what the numbers actually mean — and what questions to ask before you buy.

    Section 1: The Product Description

    The description is written by the seller. Treat it like marketing copy — useful for understanding the strategy intent, but not a source of verified claims.

    Red flags to watch for:

    • Claims of consistent monthly returns (e.g., “10-30% per month”) without verified live results
    • Phrases like “no drawdown” or “risk-free” — these are not possible in live trading
    • No mention of the underlying strategy logic — secretive descriptions often hide martingale or grid systems
    • Vague backtesting claims like “tested since 2010” without screenshots or downloadable reports

    A good description explains the core logic, names the pairs and timeframe, and is honest about the risk model — including whether it uses martingale or averaging.

    Section 2: The Backtest Tab

    The backtest tab shows historical simulation results. These are generated in MetaTrader’s Strategy Tester and can look impressive — or be completely meaningless — depending on how they were run.

    What to check:

    Modeling Quality

    Look for “Every Tick Based on Real Ticks” or at minimum “Every Tick.” Results using “Open Prices Only” on intraday strategies are unreliable. The quality percentage should be above 90%.

    Spread Setting

    Many developers run backtests with unrealistically low spreads (1-2 pips) that do not match live conditions. A realistic spread for EURUSD on a standard account is 1.0-1.5 pips. On gold, it can be $3-5. Ask yourself: what spread was used, and does it match your broker?

    Test Period

    A backtest covering only 1-2 years is short. A 10+ year backtest that includes the 2008 financial crisis, the 2020 COVID crash, and the 2022 rate hike cycle is far more meaningful. Shorter tests are often cherry-picked to start at favorable conditions.

    Maximum Drawdown

    This is the peak-to-trough decline during the test. A 10% drawdown on a $1,000 account means it hit $900 at some point. For martingale systems, the backtest drawdown is especially important — it tells you how large the recovery cycles can get.

    Section 3: Live Results and Myfxbook

    This is the most important section on any product page. Backtest results can be optimized to look perfect. Live results cannot be faked.

    A developer who provides a verified Myfxbook link or MQL5 Signal subscription is showing real money, in a real account, running the real EA.

    What to check on Myfxbook:

    • Verified by Myfxbook — the green checkmark means the data is pulled directly from the broker. Unverified accounts can show anything.
    • Account age — how long has the EA been running on this account? 3 months is a start. 12+ months across different market conditions is meaningful.
    • Drawdown vs gain — an EA showing 50% return with 40% drawdown is not impressive. Look for favorable return-to-drawdown ratios.
    • Open trades — if there are large open floating losses, that changes the real account balance. Myfxbook shows both.
    • Lot sizes — are the lot sizes consistent with the account balance? Oversized lots indicate aggressive risk.

    Warning: No Live Results

    If a paid EA has no verified live results — only backtests — that is a significant red flag. The developer is asking you to trust simulations. Live results should be a baseline expectation for any EA priced above $50.

    Section 4: Reviews and Ratings

    MQL5 reviews can be informative, but they require some skepticism.

    A common pattern: an EA launches with several 5-star reviews in its first week, all from accounts with no purchase history and no other reviews. This is a common manipulation technique.

    Useful signals in reviews:

    • Specific details about settings used, account size, and broker — these are genuine user experiences
    • Mentions of problems or limitations — honest reviewers report both positives and negatives
    • Developer responses to negative reviews — how a developer handles criticism tells you a lot about post-sale support
    • Review dates spread over months — not all clustered within a week of launch

    Section 5: The Price and License Type

    MQL5 EAs are sold as rental (monthly/annual) or one-time purchase licenses. The pricing model tells you something about the developer’s confidence.

    • Rental-only pricing — common for EAs with ongoing updates, but also a model that generates revenue even if the EA stops performing
    • Lifetime license — the developer earns a one-time fee, so they have incentive to build something durable
    • Very low price ($10-20 lifetime) — often means the developer does not expect to provide support or updates
    • Very high price ($500+) — price alone does not mean quality; verify with live results

    A Practical Checklist Before You Buy

    MQL5 EA Evaluation Checklist

    • ☐ Does the description explain the core strategy logic?
    • ☐ Is there a backtest with 5+ years of history and realistic spread?
    • ☐ Is there a verified live Myfxbook account with 6+ months of data?
    • ☐ Does the live drawdown match what the backtest predicted?
    • ☐ Are reviews spread over time with specific details?
    • ☐ Does the developer respond to questions in the comments?
    • ☐ Is there documentation on minimum account size and risk settings?
    • ☐ Is the pricing model clear (rental vs lifetime)?

    An EA that passes all eight of these checks is rare — and worth taking seriously. Most will fail on at least two or three, which tells you where the real risk is before you spend a dollar.

    Next in the EA Buyer’s Guide Series

    Part 2: Backtest vs Live Results — Why They Diverge. We explain overfitting, spread gaps, and the five most common reasons a profitable backtest fails in live markets.

    Publishing May 14, 2026

    Try It on a Demo Account First

    All BotFXPro EAs include a free MQL5 demo. Run it in Strategy Tester before committing to live.

    Browse BotFXPro EAs on MQL5 →