The translation of the provided HTML content to English is: What is the purpose of making up to ER100

Introduction

In Error Database, there is a plan to organize ER101 to ER100.

So, why 100 items?

Is 10 not enough?

Is 20 insufficient?

This number embodies the MAEP design philosophy.

? Systematized, not a collection of one-off notes

If you only find one error and fix it, an article or memo is enough.

However, what MAEP aims for is not a one-off correction.

To systematize the structure in which AI misjudges in MetaTrader.

Collect misgenerations.

Classify them.

Analyze the causes.

Define the correction methods.

Convert them into preventive rules.

Creating this flow requires a certain amount of volume.

?What becomes visible when 100 items are gathered

At the stage of 10 errors, they still look like individual cases.

However, once it exceeds 50, trends begin to emerge.

When gathered up to 100, AI becomes quite clear about which areas it is weak in.

Grammar-related.

Confusion between MQL4/MQL5.

Event handling.

Trade management.

Indicator Handle.

Buffer handling.

Architectural separation.

In this way, misgenerations can be classified.

?Educational value as data

When ER100 is organized, it ceases to be merely a collection of errors.

It becomes training data for AI.

It becomes a review standard.

It becomes a quality-checklist.

It becomes a forbidden rule during development.

In other words, the Error Database starts to function as a quality assurance mechanism.

?From the MAEP perspective

ER100 is not just a number.

It is the smallest unit to systematize MetaTrader misgenerations.

To teach AI MetaTrader, fragmentary knowledge is not enough.

Structured failure data is required.

✅Summary

The reason for creating ER100 is not to collect errors.

It is to build a quality foundation for teaching AI MetaTrader.