MonteCarloMaster_USDJPY

※This EA's price increases in tiers according to the number of sales.
Early purchasers can buy at a more favorable price.

■ Introduction

MonteCarloMaster_USDJPY adopts logic verified through about 19 years and 6,091 trades,an automated trading EA aimed at stable operation.■ Reliability by Long-Term Testing and Trade Count

This EA is designed based ona long-term backtest period of about 19 years and6091 trades in total.■ Low Drawdown DesignIn long-term backtests, themaximum drawdown is 3.63%. Instead of chasing short-term profits,this is designed to prioritize protecting capital while continuing operation..■ Win Rate and Loss Streaks・Win rate: 61.85% ・Maximum consecutive losses: 7

It avoids forced entries and excessive position increases,and maintains a structure that minimizes capital and psychological burden even during losing streaks..

■ About Profit Factor・Profit factor (PF): 1.35

Not flashy numbers, but designed with a focus on reproducibility for long-term operation, low drawdown, and many trades.

■Backtest Results

・Initial capital: 1,000,000 yen,Trading mode = Monte Carlo, other parameters verified with default settings. Measurement period is about 19 years.

■ Parameter Descriptions

■What Monte Carlo Method Is

Monte Carlo method (sequence method) is a betting management strategy applying probability and mathematical thinking.

Unlike traditional Martingale methods that involve doubling bets and higher risk, this approach uses a "sequence" to adjust bet amounts and optimize drawdown balance.

A key feature is that bet sizes change logically with wins and losses, avoiding excessive bet growth.

In Martingale, consecutive losses cause bets to double and capital to rapidly deplete, but in the sequence method growth is restrained, enabling more stable capital management.

Also, while a series of wins quickly resets the sequence, even with losses the design seeks to recover losses at the timing of wins, enabling calmer trading psychologically.

The sequence method proceeds by numerical discipline rather than emotion, and is regarded as a capital management algorithm in investing, forming the basis for strategic trading.

In conclusion, Monte Carlo method (sequence method) is an intelligent and rational capital management approach, highly valuable in strategies that aim to limit risk while accumulating profits.

This EA uses a 2x payout rule, ensuring profit to loss per trade is 1:1.

A simple outline of Monte Carlo-based lot management is as follows.

① For the first cycle, set three numbers (e.g., 1, 2, 3)

② Add the endpoints of the sequence (e.g., 1 + 3 = 4 points)

③ Use the points × 0.01 lot as the initial lot size (e.g., 4 × 0.01 lot = 0.04 lot)

④ If you lose, add the points wagered to the right of the sequence (e.g., 1, 2, 3, 4)

⑤ Add the endpoints of the sequence again (e.g., 1 + 4 = 5 points)

⑥ Again, use the points × 0.01 lot as the initial lot size and trade (e.g., 5 × 0.01 lot = 0.05 lot)

⑦ If you win, remove one at each end (e.g., 1, 2, 3,4)

⑧ When the sequence ends (no numbers left or only one left), one cycle ends

※The per-point lot size (initially 0.01 lot) can be changed via parameters

Also, the 2x payout rule requires a win rate of at least 50%.

This EA usesa logic that operates with a win rate of 60% or higher (backtest: about 19 years, 6,091 trades), making it less prone to losses.

■ Monte Carlo Method: Cautions

We have explained the Monte Carlo method and its advantages, but it is not a universal solution for all situations.

A drawback is that after each loss, the bet amount is appended to the sequence end, so a losing streak lengthens the sequence and increases the next bet size gradually.

Therefore,it is dangerous to operate without any stop-loss..

■Safety Features

When the drawdown becomes a certain amount of unrealized profit, a stop-loss is set in the positive region,

and even if a rapid trend reversal causes a move into negative territory, a safety function preserves profits.

This prevents situations like “unrealized gains but then a rapid trend reversal results in a negative settlement.”

■ About Pricing (Tiered Price Revision)

This reflects

as price design principles.

■ Early-Bird Advantage

This EAis more favorable for early purchasers.

Even if the price rises after purchase,

“The earlier you buy, the cheaper you get the same EA.” This is the price policy of this product.

■ Why this price design

This EA prioritizes sustained operation through lot management over short-term flashy results

and

Therefore,

• Real-world operation data

• Feedback from users

• Adaptation to market conditions

  
  

These are reflected, and we consider the product to accumulate value over time.The price reflects the growth of that value.

■For those considering

If you are interested in this EA,

the best conditions are “the current price range”.

Prices will rise later, but the available features and logic remain the same.

If you are evaluating, we recommend deciding before the price goes up.