The Real Cost of EA Sakusei Daikou: What Traders Pay for Custom Expert Advisors

Every trader who has ever stared at a chart and thought, “I wish I could automate that” eventually lands on the same question: how much does it actually cost to have someone build it?

If you’ve searched “EA sakusei daikou ryokin souba” (EA creation agency fees), you already know the answer isn’t simple. Prices range from a few thousand yen to well over a hundred thousand. But here’s the thing most traders miss: the quoted price is only the beginning. The real cost of outsourcing an EA isn’t just what you pay the developer—it’s what happens after you get the EA.

Let’s break down what the market actually looks like, why fees vary so wildly, and where the hidden costs lurk.

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The Market Reality: From Budget Builds to Enterprise Grade

The EA development market on platforms like Crowdworks, Coconala, and Upwork runs the full spectrum .

At the low end, you’ll find freelancers offering simple EAs for as little as ¥4,000–¥5,000, often with source code (mq4) as an add-on rather than included by default. These budget builds work best when your specs are crystal clear, and you don’t expect much hand-holding. But here’s the catch: every additional feature—time filters, martingale logic, multi-position management—comes with a price bump, and before you know it, that ¥5,000 project lands closer to ¥30,000.

Mid-range developers—often individual specialists with established track records—typically charge between ¥30,000 and ¥100,000 for a fully built EA. This bracket is where most serious retail traders land. At this level, you get more flexible revision policies, real consultation to help clarify your strategy rules, and usually source code inclusion.

On the high end, professional agencies and course-based pricing models start around ¥60,000 and go up past ¥180,000. These packages usually bundle structured design, testing, and quality assurance into the price, reducing the chance of surprise add-on fees. But you pay for that predictability.

So why the massive gap? The price difference comes down to three things: pricing structure (all-inclusive vs. pay-per-feature), support scope (bug-fix-only vs. ongoing adjustments), and source code handling (ex4-only vs. full mq4/mq5 ownership) .

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The Complexity Multiplier

One of the biggest drivers of cost is how complex your trading logic actually is. A simple EA that triggers a trade when an indicator crosses a threshold and sets a fixed stop-loss might fall in the ¥10,000–¥40,000 range . But once you layer in:

• Multi-timeframe analysis
• Martingale or grid averaging
• Multiple take-profit/stop-loss conditions
• External indicator dependencies
• Panel-based position management

…prices climb fast. Martingale systems with multi-position control can easily land between ¥30,000 and ¥200,000 . Complex strategy EAs involving original logic design often push past ¥100,000, and that’s before forward testing, maintenance, or bug fixes.

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The Hidden Costs No One Talks About

Here’s what the price quotes don’t tell you.

First: backtesting and validation. A developer can build exactly what you describe, but if your strategy isn’t profitable, the EA is worthless. That means hours—sometimes days—of backtesting, optimization, and forward testing on a demo account. Some developers include basic testing, but robust validation (tick data, out-of-sample tests, walk-forward analysis) often costs extra . Without it, you’re flying blind.

Second: ongoing maintenance. Markets shift. Brokers adjust spreads. MetaTrader updates. An EA that ran flawlessly in 2024 may need parameter adjustments—or even code updates—in 2026. Some developers provide free fixes for 30 days; after that, it’s ¥5,000+ per revision . Budget annual maintenance costs, especially after major market regime changes.

Third: specification risk. The most expensive part of any EA build is usually the one that never appears on the invoice—the time you spend proving your strategy works before you hand it off. Ambiguous rules become expensive revision cycles . What you meant and what you wrote in the spec are two different things, and each gap costs money to close.

Fourth: forward testing. A developer’s job ends when the EA compiles without errors. But whether it survives real market conditions—slippage, spread spikes, execution delays—is your problem. That’s 3–6 months of forward demo testing you can’t skip, and that timeline costs you either time or a VPS subscription to monitor it.

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The Opportunity Cost of Development

Beyond the developer invoice, there’s another cost: your attention. While you’re scoping, verifying, and backtesting your new EA, you’re not actively managing your existing positions or watching the market. Or maybe you are—but you’re doing it by keeping MT5/MT4 open, staring at the screen, and losing context every time you switch away.

This is where the conversation shifts from “how much does it cost to build an EA” to “how much does it cost to manage the workflow around it.”

If you’ve gone through the effort of building—or buying—an EA, you know the final step isn’t the code itself. It’s trusting the system. That means monitoring it constantly: checking open positions, watching floating P&L, and making sure your stops are where they should be. For many traders, that still means keeping the MetaTrader window front and center, which defeats some of the freedom automation was supposed to buy you.

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Where Camovia Tray Fits In

This is the part of the EA workflow that no developer quotes for: the daily oversight. Even a perfect EA needs a quick check—are positions opening as expected? Is the drawdown within comfort? Do I need to intervene manually?

Camovia Tray was designed for that exact moment. It turns your MT5 or MT4 into a tray tool, so instead of keeping the entire terminal open on your desktop, you can check live quotes, view open positions, and even close a trade—all from the system tray.

The tool pulls data directly from your local MetaTrader instance. No data leaves your machine; no cloud sync; no third-party servers. If you run an EA on your own VPS or desktop, Camovia Tray doesn’t interfere with your EA’s execution—it simply gives you a lightweight window into what’s happening, without the overhead of the full MT5/MT4 interface.

For traders who’ve invested in custom EAs—whether ¥10,000 or ¥200,000—the last thing you want is to be glued to the screen watching it run. Camovia Tray offers a practical middle ground: convenient position visibility, the ability to see prices without interrupting your workflow, and a “hide window” option that clears the terminal from your taskbar and Alt+Tab view when you need focus.

The pricing starts at $2.49/month with a free trial, and it supports both MT5 (direct connection, no EA needed) and MT4 (one-time bridge EA setup). For anyone who’s ever thought, “I wish I could just check my positions without pulling up the entire platform,” it’s a straightforward tool that solves a real friction point.

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The Bottom Line

EA creation costs vary because trading strategies vary—and because the market serves everyone from the hobbyist running a simple crossover to the serious trader deploying multi-timeframe machine learning models. But whatever you pay to build your EA, the real investment is in the time you spend validating it, running it, and staying on top of what it’s doing.

The developer builds the car. You’re the one who has to drive it. And sometimes, you just want to glance at the dashboard without turning the whole engine on.