Financial Instruments Business Operator Kanto Finance Bureau Director (Kinsho) No. 1960 / Membership Association Japan Investment Advisers Association Membership No. 012-02323 Go to GogoJungle Home
icon List
つー
08/07/2026 08:42
Release： 08/07/2026 08:42
Update： 08/07/2026 08:42
つー
Investment style : -
Investment career : -
Investment amount : -
Is this channel really the right one? Many channels differ depending on who draws them. Therefore, hopes and desires can be reflected in the chart, leading to favorable entry points more often than not. With that in mind, I started developing AutoChannelEntry (ACE) with the idea of, “Can we automatically draw the same channel for anyone and also statistically verify past similar markets?” ACE is not just a channel drawing tool. It analyzes data from the past 30,000 bars (EA 300,000 bars), finds channels similar to the current market, and displays tendencies of rebounds, breaks, and false breakouts as statistics. I aim to trade based on data and probabilities rather than intuition or feeling. ACE will continue to evolve. We will incorporate feedback from purchasers to grow into a more practical and valuable tool. Thank you for your support.
Article cover image

Why did I end up analyzing as many as 30,000 charts?

In the previous article,


I talked about starting the development of AutoChannelEntry from the question,


“People differ in how they draw channels.”


Next, I thought about this.


“Will the current channel actually be effective?”


Even if you can draw a channel,


nobody knows whether it will resist strongly,


or break through.


So I asked myself,


“Was there a similar channel in the past?”


I wondered.


For example,


assume there have been 100 past channels that closely resemble the current form.


Among them,


・How many times did it resist?


・How many times did it break?


・How many times did it turn out to be a false signal?


If we knew this,


it could serve as evidence for judging


“How reliable is the current channel?”


I thought.


However,


a few dozen cases are statistically weak,


and perhaps it was just a coincidence.


Therefore I decided to


analyze as much past data as possible.


In the current ACE Gold,


we analyze 30,000 past charts and


identify shapes similar to the current channel and display statistics.


Of course,


the number 30,000 wasn’t chosen on a whim.


We tested the balance between processing speed and accuracy many times,


and arrived at the current specification.


From here on, you can view it after free registration


Next, we will discuss


✅ Why we adopted 30,000 as the number of analyses


✅ How we calculate the relapse rate, break rate, and false signal rate


✅ What we learned from repeated backtests


about these topics.