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Tag: EA Buyer Guide

  • 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 →