From a short timescale to a long timescale, I finally managed to see it all.

From the shortest time frame to the longest time frame. Looking back, it was a longer journey than I expected.

Last time → 【Episode 4】 I met the same face again. But I’m not surprised anymore

A recap up to last time

Last time I conveyed that even in a brief time-frame verification, we ended up encountering the same structural conditions as before, and that our approach to facing the phenomenon had matured as the series progressed.

This time, I’ll pause a bit and look back over the entire journey so far.

Before you know it, the map was almost completely filled

Looking back from Episode 1 to Episode 5, we had somehow reached a certain turning point without realizing it.From the shortest time frame to the longest time frame, we had finished running the in-house tool “IKLab AI Strategy Builder” on all major timeframes.

In the beginning, the verification started with a single currency pair and a single timeframe. It became tool-based in Episode 2, had more operations in Episode 3, reached out to the “gap” timeframe in Episode 4, and this time stepped into the shorter timeframes that had been untouched until now. Each step was small, but when accumulated, the blanks remaining on the ruler of timeframes were almost filled.

【Image: 36_map_completed.png to be inserted here (owner manually pasting)】

The general trend was also largely confirmed this time

As repeatedly mentioned in previous installments,the shorter the timeframe, the stricter the verification, and the longer the timeframe, the easier it is to passThis tendency was also largely confirmed this time. As the number of trades increases, each price movement tends to become smaller relative to cost, a principle that holds, in a broad sense, across the whole set of timeframes.

【Image: 36_general_trend.png to be inserted here (owner manually pasting)】

However, it was not simply a rising-only story

On the other hand, there is something honestly worth telling. After examining all timeframes this time, there wasone exception.A shorter timeframe proved harder to pass than a longer timeframe that should have been, an inversion phenomenon.

As I mentioned in the article before last, the reason this reversal occurred is not yet clear. It would not be accurate to summarize the journey’s result as a simple rising curve “the longer the timeframe, the better the performance.” The map is neatly filled, but its contents are more intricate than I expected.

【Image: 36_one_exception.png to be inserted here (owner manually pasting)】

Next time, we will finally present the conclusion

With the map filled, we have finally reached a stage where we can provide a comprehensive answer to the question the series started with (“How does changing the timeframe affect the answers you find”).

Next time, I will report the result of actually exploring the short timeframe (M15) and what was ultimately found, sharing only that conclusion.

Disclaimer

• The content shared on this note is not intended to recommend specific trades or provide investment advice. It is for information sharing only.
• Verification results based on past data do not guarantee the same results in the future. Markets always change.
• Whether you actually trade or not is a decision you must make at your own responsibility.

Next time, I will deliver what was ultimately found from exploring the shorter time frame. If you’d like, you can follow me so you’ll receive the next article as well.

※Currently, the official LINE account is under preparation. I will announce here as soon as it is opened.

Next:【Episode 6】When I examined the short time frame, I found it again. But to be honest,