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AI Decision Intelligence

Optimize decisions with data intelligence

Yenno app helps Japanese institutional and individual investors make portfolio decisions with AI strategies validated with over 10 years of market data. The objective is not to guarantee profits, but to reduce risks based on evidence.

The indicators presented by this platform are probabilistic analysis results based on past data and do not guarantee future performance results.

The amount of information in the global market has already exceeded what humans can process manually.

With interest rate announcements, exchange rate fluctuations, geopolitical news, and information disclosed by individual companies happening all at the same time, it is not realistic to sort everything out using your personal judgment alone. As a result, there is an increased risk of missing important changes or overreacting to short-term noise.

Yenno app is designed as a filter to remove noise from this flood of information and extract only the variables that are directly relevant to decision-making. The subject of judgment is always the investor himself, and this platform provides the analytical foundation to support that judgment.

Three analysis layers that make up the AI engine

01 / Real-time analysis

Multivariate analysis module

It processes multiple variables simultaneously, such as price fluctuations, volume, news sentiment, and macroeconomic indicators, and detects changes in correlation in milliseconds. Distinguish between apparent trends and real changes by avoiding reliance on a single indicator.

02 / Predictive modeling

Predictive modeling engine

A model that has learned past market patterns calculates probability distributions for multiple future scenarios. Reduce the risk of overconfidence by presenting a range of possible outcomes rather than a single predicted value.

03 / Risk control

Dynamic risk management algorithm

Continuously monitor your portfolio's volatility and correlation structure and automatically readjust your risk tolerance as market conditions change. Replace emotional decisions during loss situations with predefined rules.

Verification process with over 10 years of market data

Each Yenno app strategy is backtested using publicly available long-term market data sets. The purpose of validation is not to tout past successes, but to quantitatively understand how the model behaves in different market cycles (up, down, stagnation).

Verification period
over 10 years
Target market cycle
Rise, fall, stagnation
Revalidation frequency
quarterly
Evaluation axis
Risk-adjusted index

This verification result is only reference information based on past data and does not guarantee equivalent results in future market environments. The decision logic of the model will be disclosed to the subscriber to the extent possible.

Data intelligence based on disciplined logic

Yenno app is a platform designed to help you make investment decisions based on verifiable data and reproducible logic, rather than feelings and expectations. All recommendations are presented in a way that allows you to trace back the basis for calculations.

Our focus is on transparency in the decision-making process, not on the promotion of gaudy results. We believe that being able to explain why a model reaches its conclusions is a prerequisite for long-term trust.

A look at the data analysis process by the Yenno app team

Practical usage methods for each investor profile

institutional investors

Portfolio optimization

Recalculates allocation ratios across multiple asset classes in response to changes in correlation structure. Operations teams can incorporate analytics into their existing decision-making processes and gain strategic advantage by combining human judgment and quantitative analysis.

individual investor

Sophistication of asset management

Instead of reacting to day-to-day market fluctuations, the model suggests allocations based on your predefined risk tolerance. It reduces the time-consuming burden of information gathering and provides a foundation for concentrating on long-term asset building.

enterprise

Application to corporate risk assessment

It is used by finance departments and risk management departments to quantitatively understand the sensitivity of financial indicators to changes in the external environment. The analysis platform can be linked with existing systems via API and can be expanded according to the size of the organization.

3 steps to incorporate into existing business flow

1

Data linkage

Connect your existing portfolio management systems and trading data in a standardized format. Initial setup will be completed within a few business days.

2

Customizing the model

Set constraints such as risk tolerance, investment period, target asset class, etc., and adjust the model output range to match the user's policy.

3

Execution and validation

Review the presented analysis results and supporting data and reflect them in your decision-making. Post-operation results are continuously verified to improve model accuracy.

See the accuracy of your data-driven decisions in action

You can see some of the actual analysis logic and backtest results in the Yenno app demo environment. We recommend that you confirm the actual output results before making the decision to install it.