New indicator released!!
Hello, this is 2pay.
Today’s announcement is about the completion and release of a new indicator.
We have just released a new indicator called “Mean_Bias.”
It will be priced attractively for a while, so please consider it before the price goes up.
If I were to sum up this indicator’s function in one phrase, it would be: it predicts and displays the price’s “trend probability” and “extent” for future drawing ranges.
“Trend probability” is the probability that the price will go up or down.
If the probability of going up is higher than the probability of going down, betting on an upward move has a higher chance of success.
“Extent” refers to how much the price will rise if it goes up, or how much it will fall if it goes down.
If the extent of upward movement is higher than the extent of downward movement, trading on the rise becomes more favorable (high return, low risk).
In other words, by combining “trend probability” and “extent,” you can extract only those points that balance win rate and risk-reward.
The strongest feature of Mean_Bias is that this can be displayed in advance on future price ranges that have not yet formed a price.
Since it’s a product, I’ll also share details not listed on the product page.
Even though we say the future is unknown, I don’t think most people invest without making any forecasts at all.
Investing occurs in an environment where profits and losses arise, so those who are serious about it are among the participants.
Indeed, after the price rises, buying can no longer sustain further gains; you need to acquire some information beforehand and set up positions before the move.
In such a competitive environment, everyone uses various means to outpace others and predict price movements.
Because profits and losses are determined by the difference between entry and exit prices, attention inevitably focuses on price.
On the other hand, what about time?
Although charts are built on two axes—price and time—few people analyze the time aspect deeply.
Sometimes focusing on what others overlook (undervalued) leads to better results.
Mean_Bias aggregates data at least every minute.
If it’s 1:01 on Monday, it aggregates price movements for 1:01 every Monday.
If it’s 6:55 in the 2nd week, it aggregates price movements for 6:55 in the 2nd week of each month.
It also aggregates from several other viewpoints, weighting each result as it builds a composite score.
For example, for “2026.03.05 8:00,” it combines the eight—with multiple groupings such as the group for “March,” the group for “the 5th day,” the group for “the 1st week,” the group for “Thursday,” and so on—to determine the final win rate and volatility of the 8:00 score.
This is a machine-learning-inspired approach, a method used in practical fields such as hedge funds.
Thus, by not averaging recent consecutive values (like moving averages) and instead averaging across distant values according to a fixed rule, sometimes meaningful results emerge.
The main reason to focus on time is to notice changes in market participants.
Tokyo time has a large majority of participants from Asia, including Japan.
It’s understandable that many Japanese salaried workers trade intraday during New York time, but large-capital players (insurance, banks, corporations, funds, etc.) typically act during Tokyo market hours.
Movements by such large-capital players are reflected in price behavior as “price movement tendencies.”
If you want to find these efficiently and rationally, time-based aggregation becomes the optimal solution.
If there are times when price tends to move in one direction, it suggests that investors who buy mechanically according to weekly or other rules may be present.
Currently, systematic investing such as dollar-cost averaging is a typical example.
In S&P 500 dollar-cost averaging, fund managers buy S&P 500 with funds collected from users once a month.
The direction is a “buy-only” stance, and they continue buying until the funds are exhausted.
If you can estimate the timing of such movements, you can profit from an upward trend with evidence-backed confidence.
There are many such points in the market.
Because these occur at precise moments, smoothing prices with moving averages can cause them to disappear (become invisible).
Newcomers struggle because they choose indicators based on ease of reading rather than accuracy.
Whether the goal is to “make money” or to “analyze” needs to be clarified.
I have long studied and tested market participants’ behavior and volume.
There is a concept of mass within price, and if you can extract it effectively, it leads to success.
The breakthrough also hinged on accurately judging market participants.
Besides Mean_Bias, we offer indicators that focus on large traders and time.
Please feel free to visit the 2pay shop.
◇ 2pay’s latest work, clearly in a class of its own.
◇ The origin of 2pay and one of the most popular indicators
◇ When used together, even more powerful. A highly recommended derivative