There are countless buying and selling logics published on the internet. Many of them are described as having an "advantage" merely from the introductory text at the time of publication. However, once these logics are placed in a third-party verification environment and exposed to real measurement data as-is, the majority fail to demonstrate the anticipated advantage, revealing undeniable weaknesses.

Many developers and introducers treat this phenomenon as caused by external factors such as “the market environment has changed” or “bad luck.” However, from the perspective of a process design engineer, this is merely the exposure of inevitable flaws inherent in the structure itself that has not undergone verification as part of a screening process.

In this article, we dissect how the structural defects of published logics become visible through a continuing verification report process conducted by the lab, and how those defects can be logically complemented and reconstructed into an architecture that can endure real-world operation.

1. The “design philosophy gap” exposed by verification reports

The essence of a verification report is not merely a record of wins and losses. It is an examination process that reveals which elements of the published logic’s design philosophy are missing.

In the lab’s verification, all logics are broken down and evaluated according to the following three-layer structure.

• Entry layer: which signals/conditions trigger a position
• Settlement layer: how profits are realized and losses are limited
• Capital management layer: how position size and risk increase when facing a losing streak are controlled

Many publicly available logics are released to the world with one of these three layers markedly weak or entirely missing. The introductory text often discusses only the entry layer, leaving the settlement and capital management layers to the developers’ discretion. This means it is not a matter of system completeness but rather that merely “fragments of ideas” are in circulation.

2. Structural comparison of typical failure patterns

As we accumulate verification reports, certain common structural patterns of failing logics emerge. Below is a comparison of typical defect structures and the architecture we aim for after reconstruction.

Comparison item	Public logic with defects	Architecture after reconstruction
Settlement logic	Early profit taking due to fixed pips or discretionary dependence, or unclear stop-loss	Variable take-profit/exit lines embedded in the system according to market structure
Resilience to market conditions	Functions only in certain regimes (e.g., trending markets) and collapses in ranges or during rapid volatility changes	Includes regime-determination filters using ATR/ADX, and avoids entries in disadvantageous environments
Capital management	Lot size is fixed or lacks defense against drawdown	Incorporates risk% based logic to structurally suppress drawdown during losing streaks

This contrast reveals a simple fact: flawed logics do not embed resilience to unseen market environments (out-of-sample) from the start. Therefore, even if backtests look beautiful at publish time, they fail as soon as real-world noise is encountered.

3. Logical approach of skeleton-preserving rebuild

So should all flawed logics be discarded? Our conclusion is no.

Because the entry-layer skeleton that proved effective in verification may capture market advantage, it should not be discarded unconditionally. Rather, only the layers proven to be missing or weak should be discarded, and the reconstruction that preserves the skeleton while redesigning only the affected layers—“skeleton-preserving rebuild”—is the logically correct approach.

The reconstruction process proceeds in the following order.

1. From verification data, classify defects into one of the three-layer structures
2. Design an improved architecture corresponding to the defect area (regime filters, variable settlement logic, risk% based sizing, etc.)
3. Re-verify the improved version in the same verification environment and period, comparing drawdowns, profit factors, and losing-streak counts with the original version
4. Move to implementation for those with statistically significant improvements

What we emphasize here is not whether the asset curve of the improved version “looks beautiful.” Rather, we continually question whether it remains robust after avoiding overfitting in-sample and through re-verification across multiple periods and market environments.

4. The criteria for “usable” defined by Semura Lab.

At Semura Lab., we do not value superficial introductions of published logics or backtest results biased toward in-sample. What we pursue is whether, after exposure to verification and examination, we can identify the defect structure and reconstruct it with logical justification.

A usable logic is not guaranteed to keep winning. It is about strictly limiting risk in disadvantageous situations and only expanding profits when advantage is in play—the structure that can withstand the unknown market as a test.

The verification report process and the subsequent reconstruction as a design action are not transient content for us; they form the very foundation of the logic development that we will continue to shape as an architecture. This development record will keep documenting that process.