Method proven by verification: "Expected value > 1"

Hello, I am riker, a full-time trader.

I developed a signal trading method called “Polaris Alpha,” and here is information about it…

What traders want most in trading is──reproducible "edge" with consistency.

This signal trading approach faces its core and has undergone extensive testing over the past 17 years.
More than 20,000 backtests demonstrated that “the expectancy exceeds 1.”

This means that, in the long term, it has been statistically confirmed to have the potential to win (grow capital).

To put it simply about the meaning of expectancy > 1,
"If you repeatedly trade with the same rules, you can expect to be net profitable on average"
.

Rather than reacting to short-term wins and losses, by calmly continuing to trade according to the rules, results converge in a favorable direction probabilistically.

Moreover, since this method has been tested across diverse historical market environments,
not only in rising trends, not only in falling trends, and not only in range-bound markets,
the risk of being only effective under specific market conditions is minimized as much as possible.

So, why is this method trustworthy? There are three key points.
1) It has been tested over a long period (17 years). It is not a short-term “chance win.”
2) The number of trials (over 20,000) is extremely large, ensuring statistically significant samples.
3) It is based on a quantitative evaluation—expectancy exceeding 1—not on intuition or feeling.

Of course, past validations do not guarantee the future completely.
However, the fact that expectancy tends to be positive under long-term, large-scale testing becomes a strong backing for your trading with reproducible rules.

If you combine this with money management and risk control,
the effectiveness will be even greater.

If you are interested in this method,
please check actual chart examples on the product page below.

Details here:
https://www.gogojungle.co.jp/tools/indicators/63017

Begin trading with rules backed by statistics, without being swayed by emotions.