Your Backtest Showed 95% Wins. Your Account Shows Losses.

You spent three weeks optimizing your EA. Backtests show beautiful equity curves. Win rate is north of 90%. Drawdown barely moves. You deploy it live.

Within 72 hours, slippage, rejected orders, and execution lag chew through the first $500 of profit. By day 10, you're down 8%. By day 30, you're asking yourself: "Why does my live account look nothing like my backtest?"

Answer: Your backtest wasn't trading. It was running a calculation that knew all the prices in advance.

Why Your Win Rate Looks Perfect (But Isn't)

Backtesting software shows you the exact high and low of every candle AFTER the candle closes. Your EA sees this too and makes decisions based on perfect information. The market doesn't work that way. When the candle is open, you see only the real-time data, not the high/low it will eventually reach.

This is called lookahead bias. Your backtest optimized against prices it shouldn't have seen, inflating win rate by 20-40 percentage points.

Here's the compounding problem: the more parameters you optimize (moving average periods, RSI thresholds, profit targets), the better your backtest fits the historical data it saw. This is curve fitting. Your EA isn't learning a pattern—it's memorizing the dataset. When the market produces new data, the EA performs worse than a random entry strategy.

Professional traders call this "overfitting." Retail traders call it "why is live trading so hard?"

From idea to a system that trades for you1Your strategy2Custom build3Full backtest4Live automationNo code on your end. You get a working system, a backtest report, and ongoing support.
How Alorny turns a trading idea into a live, automated system.

The Slippage Tax Nobody Backtests

Your backtest assumes execution happens at the exact price you set. Reality: brokers fill orders at whatever price is available when your order hits the market, which is often 2-10 pips worse than your intended price. Crypto and forex bots? Add another 5-15 pips. During news events? 50+ pip slippage is normal.

A $300 EA running 50 trades per month with an average 5-pip slippage cost eats $750 in losses just from execution friction alone. That's before accounting for commissions, spreads, or margin interest.

Your backtest? It doesn't know slippage exists. Most retail backtesting platforms let you optionally add slippage, but they default to zero. If you didn't explicitly code it in, your backtest is 30-50% more profitable than reality.

Live Orders Reject. Your Backtest Doesn't Know.

In backtesting, every order fills. Instantly. At the exact size you specified. In live trading, orders get rejected for reasons your backtest never encounters:

Your backtest doesn't simulate any of this. It assumes perfect connectivity and unlimited liquidity. Neither is true.

The Human Variable: Where Mechanical Becomes Manual

Here's what your backtest really measures: how well your EA follows its code against historical data. What it doesn't measure is whether you actually run the EA the same way in production.

In backtesting, you don't touch anything. The EA runs autonomously on perfect logic.

In live trading, you're watching. You see a loss. You "know" better. You disable the EA for "just this morning." You manually place trades to "protect the account." You move stop losses because "the market is choppy." By the time you realize your manual intervention broke the system, you've lost 3 months of backtest-projected gains in a week.

This is why professional EAs are written with no discretion. They run. You don't touch them. The backtest is only valid if the production EA behaves identically.

Professional EAs Still Fail. Here's How They Get Fixed.

Real EA developers don't backtest in a vacuum. They backtest in multiple phases:

  1. Backtest 1: Raw optimization — yes, this looks great, but we know it's overfit
  2. Walk-forward validation — test on data the optimizer never saw. Results drop 20-40%. This is closer to reality.
  3. Out-of-sample testing — test on completely different market regime (bull market tested on bear market data, etc.). Results drop another 10-20%.
  4. Live paper trading — run on real broker feeds without real money. Catches slippage, rejection, and connectivity issues.
  5. Live micro-account testing — real money, tiny position size. Run for 30-60 days. Only then, scale up.

The EA that passes all five filters has maybe 40-60% win rate on live data, not 95%. But that win rate is real. It compounds year over year.

DIY traders skip steps 3-5. They go from backtest to live account with real money in a week. Disaster follows predictably.

The Math: Why DIY Costs More Than Custom

You think building your own EA saves money. The math says otherwise:

Alorny builds a custom MT5 EA, fully backtested on walk-forward validation, live paper-tested, starting at $300. You have a working demo in 45 minutes and full delivery in a few hours. It includes a complete backtest report showing win rate, drawdown, and slippage-adjusted returns.

The choice isn't between $300 and free. It's between $300 now or $7,400+ and four months of losses later.

What Separates Live-Ready EAs From Backtest Theater

Here's what we look for when building EAs that survive production:

  1. Realistic slippage assumptions: We code in 5-15 pip slippage by default, adjusted by broker
  2. Order rejection logic: The EA knows what to do if an order fails (retry, adjust size, skip signal)
  3. Position sizing tied to account size: If balance drops 20%, position size drops 20%. The EA doesn't blow up.
  4. Profit targets and stop losses that actually execute: Not just theoretical—tested on real broker feeds
  5. No discretionary logic: The EA runs the same way every time, no human override
  6. Out-of-sample validation: Win rate tested on data it never saw during optimization

Your DIY EA probably has none of these. That's why it works in backtests and fails live.

The Honest Backtest Report

When we deliver an EA, it comes with a full backtest report. Not the 95% win rate. The real one—walk-forward validated, slippage-adjusted, accounting for commissions. That number is 40-60% win rate usually. Sometimes lower for aggressive strategies.

This is what professional traders look for. Retail traders are shocked. They wanted 95%.

But here's the thing: a 50% win rate EA that makes 2:1 (risk to reward) compounds faster than a 95% win rate EA that risks $50 to make $30. The math of positioning matters more than the win rate headline.

We build the math right. Backtests show real results.

A coded edge compounds while you sleepTime in market →Consistency
Illustrative: automated rules execute consistently, with no emotion gap.

Why Now Is the Best Time To Automate

You could spend another four months DIY-ing and losing money, or you could have a professional EA running live in two weeks.

Here's what happens when you commit: We take your trading strategy, backtest it properly (walk-forward validation, slippage-adjusted), build the EA, test it on live paper trading, then hand you the code with a full backtest report. You know exactly what you're deploying.

Custom MT5 Expert Advisors start at $300 for simple strategies. That's the cost of one bad manual trade. The EA pays for itself in your first two winning trades that you would have missed while sleeping or at work.

The traders who scale don't spend more time on charts. They delegate execution to code that actually works on live data.

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