'Why can't I win, no matter how many years I try?' ... The true nature of the 'non-reproducible trade' that experienced FX/CFD traders fall into [CFD Seminar]

In asset management, while FX and CFDs offer high capital efficiency, many individual investors face the wall of being "unable to win consistently." Why do results remain unstable even after accumulating knowledge and experience? The essence of this lies in "reproducibility." In this article, we will unravel the issue of the lack of reproducibility in FX and CFD trading, explain the mindset required to win structurally, and introduce the contents of a CFD seminar that is attracting attention as a solution.

Reasons you can't win despite gaining experience... The limits of "sensory trading"
Many experienced FX and CFD traders must have accumulated knowledge through books, videos, and seminars. However, there is a common trait behind why their results do not stabilize despite this.

"Trading with ambiguous judgment criteria"

- The basis for entry is based on feeling
- Stop-loss criteria are inconsistent
- The perception of the market environment is subjective

In such a state, even if profits are made temporarily, they are not reproducible. As a result, traders fall into a structure of repeating the same mistakes and losing their funds.

What is "reproducible trading"?
Then, what exactly is trading that stably accumulates profits? The answer is simple.

Whether there is a "structure" where anyone looking at it would reach the same judgment

For reproducible trading, the following three elements are essential:

- Clear rules for entry, take-profit, and stop-loss
- Definition of the market environment (trend/range)
- Advance design of risk and fund allocation

Only when these are systematized does "decision-making unswayed by emotions" become possible.

The "importance of structure" seen from a loss of 60 million yen
Yasuyuki Takiuchi, the representative of Phoenix Connect, once faced the exact same challenge. He started trading in 2004 and experienced cumulative losses of over 60 million yen.

The cause was clear.

"There is no reproducibility in trading that relies on senses."

Triggered by this realization, he redesigned trading as a "structure." He built a unique model that integrates fundamentals, supply and demand, and technicals, further combining it with probability analysis by AI.

As a result, he achieved profits exceeding 100 million yen, primarily operating Nikkei 225 CFDs. Currently, he systematizes and provides this logic in a "reproducible format."

AI Analysis x Span Model... Turning judgments into "probabilities"
The core of the trading he advocates is the combination of:

AI Analysis x Span Model

Conventional discretionary trading tends to rely on subjectivity such as "it looks like it will go up" or "it looks like it will go down," but in this method, elements such as:

- Probability of rising / Probability of falling
- Expected price range
- Market phase

are judged quantitatively.

This transforms trading from "predictions" to "probabilistic decision-making."

"Trade Design" you can learn at the CFD Seminar
The currently held [CFD Seminar] is where you can systematically learn such reproducible trading.

In this seminar, rather than merely explaining techniques, you can learn the "design philosophy" itself, such as:

- How to design trading rules
- How to decipher market structures
- Frameworks for risk management and fund management
- How to properly use discretionary and automated trading

A particularly distinctive feature is its focus on:

Creating a state where you can explain "why that judgment was made."

"Transparency" shown by track records and third-party verification
Furthermore, the trading logic handled in this seminar is recorded and published in real-time by a third-party performance management service.

- No discretionary intervention
- Visualization of transaction history, profit/loss, and drawdown
- Continuous publication of forward tests

This makes it unique in that you can objectively confirm "how it functions not just in theory, but in actual operation."

CFD trading is not a "technique" but a "design"
Many people consider trading to be a "technique." However, its essence is different.

Trading is the design of decision-making

Under what conditions to enter, where to exit, and how much risk to take. Defining these in advance and incorporating them into a reproducible format directly links to long-term asset building.

Summary... From "senses" to "structure"
What is necessary to stabilize results in FX and CFDs is not a special talent.

What is necessary is:

- Clarification of judgment criteria
- Trade design as a structure
- Decision-making based on probabilities

If you feel that:

- You have been trading for many years but your performance is unstable
- You cannot verbalize your winning patterns
- You want to break away from trading swayed by emotions

Then it is well worth reviewing your trading from the perspective of "structure" at least once.

The CFD seminar should serve as specific criteria for making that judgment.

➡ [CFD Seminar] For experienced traders | Reproducible trade design built with AI analysis x Span Model | Free online practical course
https://www.phoenixconnect.jp/fx-seminar

*This article is intended to provide information and does not recommend any specific investment actions. Investments involve risks. Please make your final judgment at your own responsibility.

■ Author Profile
Yasuyuki Takiuchi
Representative of Phoenix Connect Co., Ltd. / AI Trading Strategist

He has a career crossing engineering, strategy, and data science, including aviation, heavy industry, foreign consulting, tech companies, and AI research. He started his career as an aircraft engineer at Japan Airlines (JAL), and subsequently experienced an expatriate assignment in New York at Kawasaki Heavy Industries (KHI). Through practical work in a global environment, he cultivated a foundation for structural thinking and quantitative analysis.

Afterward, he engaged in business improvement and strategy design at a foreign consulting firm, establishing a logical approach to complex business challenges. Furthermore, he accumulated practical experience in AI machine learning, data analysis, and programming at Meta (formerly Facebook), a US NASDAQ-listed company, deepening his analytical skills that fuse technology and data.

In the investment world, he began trading in 2004. Initially relying on discretionary judgments, he experienced a cumulative loss of over 60 million yen. Using this experience as an opportunity, he concluded that "investment dependent on emotions cannot yield reproducibility," and embarked on research into probabilistic market analysis by AI after integrating fundamental analysis, supply and demand analysis, and technical analysis.

As a result of this, he developed an AI model that integrates multidimensional data from the Tokyo Stock Exchange and the Bitcoin market, presenting the probability of rising, probability of falling, and expected price range for the next business day as the "Tomorrow's Nikkei 225 Forecast AI". Currently, he manages and researches a "reproducible investment judgment support model" in which AI continuously learns and evolves.

Under the philosophy of "reading the market not with emotion, but with structure," he aims to establish "reproducible investment strategies" that even individual investors can practice, working on information dissemination and investment support.

Phoenix Connect Co., Ltd.
An independent asset building consulting firm that supports the reproducibility of investment judgments through AI x strategy analysis.
Based in Kuala Lumpur (Malaysia), it provides analysis and services based on global market data.
https://www.phoenixconnect.jp/