42|Will the MQL market still grow?
Introduction
The MetaTrader and MQL markets are sometimes said to be already mature.
Indeed, MetaTrader is a platform that has been used for a long time.
There are already many products and services, such as EA sales, indicator sales, signal delivery, and outsourced backtesting.
Therefore,
some people may think, "The MQL market may not grow any further."
However, with the advent of AI, this market is entering a new phase.
The MQL market will not end.
Its structure will change.
Growth due to AI
Until now, EA development required knowledge of MQL.
The differences between MQL4 and MQL5.
OnTick.
OnInit.
Trade class.
IndicatorHandle.
CopyBuffer.
Position management.
Without understanding these, you couldn't make an EA.
However, with the advent of AI, the situation has changed.
Even people who cannot write code can have AI create a template for an EA by requesting it.
This is a major shift for the market.
More people who can make them.
More people who try them.
More people who consider selling them.
As a result, participation in the MQL surrounding market may increase.
Quality EA increases may also bring low-quality ones
An increase in entrants is not all good news.
When AI makes it easy to create EAs, low-quality EAs will also increase.
For example,
- Compiles but weak in real operation
- Only the backtest looks good
- Overfitted
- Weak error handling
- Risky money management
- MQL4 and MQL5 mixed
- Handle management not done
These kinds of EAs could flood the market.
In other words, the market will expand, but the quality gap will widen as well.
This is important.
Next growth area: "Quality management market"
In the AI era, the value gained is not just the EAs themselves.
Rather,
- EA reviews
- Backtest analysis
- Forward testing
- Code audit
- MQL misgeneration checks
- Parameter evaluation
- AI-generated code corrections
- Providing quality standards
areas like these are likely to grow.
Because AI makes it easy to create, but difficult to judge correctness.
In the future MQL market, evaluation capability will be valued more than production ability.
From EA sales to knowledge sales
Traditionally, the MQL market was a market to sell EAs and indicators.
However, in the AI era, knowledge itself becomes a product.
For example,
- Materials to teach MQL to AI
- Misgenerated data databases
- Design pattern collections
- Reusable components
- Coding rules for AI
- EA evaluation criteria
- Operational checklists
These things have value.
Because AI cannot be made correctly without knowledge.
The era in which AI generates code makes the underlying knowledge more valuable.
MQL market will be reorganized
In the coming market, it will not be simply "people who sell EAs" and "people who buy EAs."
People who create EAs with AI.
People who review AI-generated EAs.
People who evaluate EA quality.
People who educate MetaTrader to AI.
People who design operation rules.
These new roles may emerge.
In other words, the MQL market is not shrinking but being reorganized.
Old market forms may weaken.
However, new markets aligned with the AI era may grow.
MAEP perspective
MAEP is a product that assumes this market change.
It does not sell EA itself.
It provides knowledge to educate MetaTrader for AI.
Error Database。
Pattern30。
Component20。
AI Rules。
These are the knowledge foundations needed in the MQL market of the AI era.
Precisely because AI generates EAs, the knowledge given to AI is crucial.
Summary
Will the MQL market continue to grow?
The answer is that sticking to the old model will be difficult.
But if you reshape it to fit the AI era, there is room for growth.
The future growth is not simply selling EAs.
Quality management.
Educational data.
Design philosophy.
AI utilization know-how.
These are the areas.
The MQL market will not end.
With AI, it is shifting to the next form.
Call to Action
AI makes EA development easier.
However, to create a correct EA, you need correct MetaTrader knowledge.
MAEP is an educational MetaTrader package for the MQL market in the AI era.
Not just having AI create it.
Make AI create it correctly.
MAEP is the knowledge foundation for that.