Research & Development

How Our Expert Advisors Use Real AI

At EasyAlgos AI, we don’t just use “AI” as a buzzword — our neural networks are at the core of how our Expert Advisors think. This article reveals how we design, train, and integrate real AI into our systems to filter trades, adapt to markets, and boost performance.

These days, “AI” has become a buzzword in the trading world.

Many Expert Advisor developers add it to their names or descriptions just for marketing — but most of the time there’s little to no real AI behind it.

And even when there is, it often has no real impact on performance or decision-making.

Our approach has been very different from the start.

In systems like EasyAI and EasyWaka, neural networks aren’t just an add-on.

They are built into the core of how the EA thinks, helping decide which trades to take, which ones to avoid, and how to handle risk.

And we’ve been doing this long before AI became “trendy.”

In this post, we’ll explain how these neural networks actually work, how we train them, and why they matter to you.

How our EAs use real AI:

Every AI-powered EA we offer has a neural network that works like a smart filter.

First, the EA’s normal logic finds a possible trade.

Then, the neural network looks at current market data and gives that trade a score.

If the score is high enough, the EA takes the trade.

If the score is low, the trade is skipped because the market looks too risky.

This extra layer of decision-making helps reduce bad trades and focus on opportunities with better odds.

What data is used for decision-making?

You might be wondering: what kind of information do these networks look at?

Our research has shown that raw price data on its own is too messy to be useful.

Instead, we create and feed the network specific market features—data points that we’ve studied and found to have real predictive value.

How we train the networks (outside MetaTrader):

Teaching a neural network to make good decisions takes a lot of computing power.

Platforms like MetaTrader aren’t designed for that, so we train the models separately using our own tools.

This allows us to,

Run multiple training jobs at the same time.
Test different setups quickly.
And improve the models much faster.

Once training is done, the finished network is loaded into the EA.

The network runs fast enough that it works smoothly on almost any VPS or computer.

Our latest AI update:

Recently, we released a big update for all our EAs.

We completely redesigned the neural network architecture using the results of two years of research.

The new networks are smarter and faster, giving more accurate decisions while still being lightweight and easy to run.

Why this matters to you:

For us, AI isn’t just an angle.

It’s a set of tools that help our systems think smarter, adapt to changing markets, and protect your account while trades run in real conditions.

In the next post, we’ll show you how these neural networks work step by step, and why this approach will keep shaping the way EasyAlgos AI evolves in the future.

Best,
The EasyAlgos AI Team

Published on Aug 12, 2025

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