KLab Inc. began managing its own funds using its proprietary AI-powered financial product automated trading system, “KLab AI Trade,” starting July 1, 2026. This project is part of the company’s AI priority business initiative starting in fiscal year 2025, and is attracting attention as a strategic move to build a new revenue pillar following its gaming business.

Started actual operation with 10 million yen of own funds

KLab Inc. announced on July 1, 2026, that it has started managing its own funds using the AI-powered automated trading system for financial products, “KLab AI Trade.” Since it was first announced that development was underway on February 9, 2026, this project has undergone a detailed verification phase through backtesting and demo trading, and has finally transitioned to production operation. The initial investment amount is set at 10 million yen, and while monitoring the management status and risk management trends, we plan to gradually add more investment funds going forward.

At the start of operations, KLab completed as scheduled the series of preparations necessary for actual operation, including establishing a risk management system, building a production environment, and implementing security measures. The financial products we invest in start with Bitcoin, which is highly volatile and easily demonstrates AI’s advantages. Alongside the launch of actual operations, the official website has also been launched, and by providing highly transparent information dissemination, we aim to build trust among investors and market participants. Please refer to the diagram below.

Proprietary AI technology manipulating over 90 parameters

The biggest feature of “KLab AI Trade” is its 24/7 operation without rest, allowing for rational data-driven decisions without being swayed by human emotions. This system analyzes a total of 96 diverse features every hour, including technical indicators such as EMA (Exponential Moving Average) spreads and RSI, volatility indicators like ATR, as well as derivatives information and on-chain information. This allows us to capture subtle market changes and execute trades at the optimal timing.

Inside the system, AI determines market regimes such as rises, falls, and ranges, and automatically applies optimal trading logic and risk management methods for each situation. For example, in a strong bull market, you hold positions longer to maximize profits, while in high-risk situations, you switch to cash positions to limit losses, autonomously switching between “offense” and “defense.” Additionally, the design philosophy is to select only the high-probability positions and wait when the characteristics are unclear, ensuring that even during sudden crashes, positions can be adjusted and stop-losses immediately executed through hourly monitoring.

Backtest Achieved a Return on Investment Rate of +857.6%

The effectiveness of this system is backed by rigorous verification over a long period. In a backtest covering four years from January 1, 2022, to December 31, 2025, we achieved an astonishing return on investment of 857.6 percent. This represents about 9.8 times the performance of an 87.8% return if simply holding Bitcoin during the same period had been positive. This verification result was obtained under conditions assuming spot trading with 1x leverage, demonstrating a high level of operational stability.

Furthermore, excellent results in risk management have been confirmed. While Bitcoin’s maximum decline rate during the verification period was minus 67.6 percent, this AI system’s maximum decline rate was minus 21.89 percent, successfully reducing the risk of decline to about one-third. Additionally, in the demo trade conducted from March to June 2026, despite a tough market environment where Bitcoin prices fell by 16.4%, the company maintained a positive 4.4% recovery rate, demonstrating strong risk tolerance in the real market. However, the company also emphasizes that these achievements are based on historical data and do not guarantee future operational results.

Background of Management Strategy and Challenges in Diversification

Aiming to build a pillar of revenue from gaming business to AI business

KLab was founded as a mobile software research and development company and has grown primarily through its mobile gaming business. However, to respond to environmental changes such as intensified competition in the game market and rising development costs, from fiscal 2025 we are advancing bold business structure reforms that make AI one of our key business areas. The launch of this “KLab AI Trade” is a symbolic step toward reducing dependence on the gaming business and establishing a new revenue pillar centered on AI technology.

The company is accelerating its expansion into various AI-related businesses, including the “KLab GPU AI Cloud,” the AI creator registration system “KLab AI GUILD,” and the AI VTuber production “Yumekairo Production.” By promoting these business groups in parallel with the financial AI business, we aim to enhance company-wide AI utilization capabilities and adopt a strategy that transforms technological innovation into direct revenue streams. By applying the advanced mathematical knowledge and data analysis expertise cultivated through existing game development to the financial sector, they aim to create a unique competitive advantage that competitors do not have.

Collaboration with the financial strategy ‘Dual Gold Treasury’

KLab promotes its unique financial strategy called “Dual Gold Treasury (DGT),” which combines Bitcoin (digital gold) and gold (real gold). DGT is originally a long-term holding financial strategy that only rebalances about once a year, but the newly launched “KLab AI Trade” is positioned as a different active management project. The company’s policy is to gradually transfer the Bitcoin held as DGT into AI trading operations.

Specifically, KLab plans to manage all its Bitcoin holdings through AI trading by the end of fiscal year 2026. This aims to bring liquidity and profitability to financial assets, which were previously merely asset holding, maximizing overall asset efficiency for the company. By combining stability through DGT as a financial strategy with profitability through AI trading as a business, an extremely advanced management approach has been introduced to achieve both a strong financial foundation and growth potential.

Synergies and Legal Responsibilities in Diversification Strategies

In advancing management diversification, KLab places great importance on synergies across related fields. For example, market prediction algorithms and data processing technologies obtained from AI trading are expected to be fed back into other AI businesses and in-game data analysis. However, venturing into the highly regulated field of finance comes with unique risks and legal responsibilities. As pointed out in reports by the Bank of Japan’s Institute for Financial Studies, who bears what responsibility when losses occur in AI-driven automated trading is an important issue.

KLab is preparing to register for investment advisory and agency services in anticipation of future external sales and fund formation, but at present, it is limiting itself to managing its own funds to control risk. Considering the possibility that AI investment criteria may become black-boxed, we have established a system that visualizes and monitors over 90 parameters, striving to create an environment that enables accountability. Thoroughly investigating legal risks and establishing an appropriate compliance framework is an essential condition for successful diversification strategies. Please refer to the diagram below.

Future Outlook and Roadmap to Commercialization

Groundwork for commercialization in 2027 and the formation of private equity funds

The ultimate goal of “KLab AI Trade” is not just to manage your own funds, but to commercialize it as a service for external investors. KLab has drawn a roadmap aiming for full-scale commercialization by 2027, after building up achievements through self-funded management during 2026. As a concrete step, we plan to establish private placement funds utilizing special services such as qualified institutional investors, and to complete registration as an investment advisory and agency business.

Operating with our own funds also serves as a “showcase” for the system. By publicly disclosing a track record of consistently generating stable returns in the actual market, the aim is to gain the trust of institutional investors and high-net-worth individuals, facilitating smooth entry into the asset management management business. By combining the user community approach cultivated in the gaming business with advanced AI management technology, there is potential to create new asset management services with perspectives different from existing financial institutions.

Global Expansion and Expansion of Target Financial Products

The operation of this AI system, which began with Bitcoin, is expected to rapidly expand its scope in the future. KLab is already conducting research and development in parallel for the expansion of various financial products such as foreign exchange (FX), gold, and stock indices. By sequentially introducing “applied predictive models” that have learned the unique characteristics of each financial product, we aim to build a multi-asset AI operation system capable of handling any market environment.

Furthermore, from the outset, this business has been designed with global expansion in mind. Since we target borderless products such as Bitcoin and foreign exchange, we continuously research laws, regulations, and market environments in various countries, not limited to Japan. We are steadily establishing overseas bases, including establishing a subsidiary in the United Arab Emirates (UAE) in June 2026, and are preparing to provide services in a way that adapts to the legal systems of each country. KLab’s challenge to realize “democratization of finance” through technological innovation on a cross-border scale is only just beginning.

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