Adding the option of data-based decisions to dormant corporate funds

Seiran Shueki Fuwa is a platform that analyzes over 500 trading pairs in real time and helps you make decisions about how to use your funds based on data rather than intuition. It can be used as a basis for making highly accurate decisions even within limited time.

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Issue recognition

Hidden costs caused by abandoned funds

Choosing not to move your cash reserves actually comes at a cost. There are many cases where the value of funds is quietly reduced without being able to keep up with market changes.

Limitations of manual market monitoring

Visually tracking multiple indicators and trading pairs every day is not a realistic workload for a single person. There will be situations where you are forced to make a decision without enough information to make a decision.

Decrease in real value due to inflation

Funds held in cash may gradually shrink in terms of purchasing power, even if the nominal face value remains the same.

Lack of expertise and time

In small and medium-sized enterprises that do not have a specialized department for fund management, decisions are often made by the manager himself or a concurrently responsible person, making it difficult to secure sufficient time for verification.

Increasingly complex market environment

Due to the diversification of transaction objects, the amount of information that must be compared and considered is increasing. Systematic processing is required to maintain the accuracy of judgments.

The method that Seiran Shueki Fuwa takes to address these issues is not to replace human judgment, but to systematize the information processing that precedes judgment. In the next chapter, we will explain how this works.

core technology

AI engine processing over 500 trading pairs

Seiran Shueki Fuwa's engine continuously ingests large amounts of market data and extracts only the information that supports decision-making through statistical predictive modeling and risk management protocols.

predictive modeling

Statistically estimate future fluctuation trends

It combines past patterns and current market conditions to probabilistically estimate short-term price fluctuation trends. Rather than a definitive prediction, we present multiple possibilities with varying degrees of certainty.

Real-time analysis

Understand the current situation through continuous data updates

Market data is continuously captured to ensure that information remains stale even as conditions change. Prevents the assumptions of judgment from becoming divorced from reality.

risk management protocol

Criteria to limit exposure to excessive fluctuations

Due to the nature of funds, a downturn that exceeds expectations should be avoided. We have built in a mechanism to exclude options that involve excessive risk based on pre-determined criteria.

Scalable recommendation presentation

Narrow down the amount of information and organize it into a form that can be judged

There is no need for humans to check all 500+ trading pairs. Noise information is removed and only high-priority candidates are organized and presented.

Scope of analysis

Analysis target Over 500 trading pairs
Update method Real-time analysis
Applicable model predictive modeling
safety standards risk management protocol
process

Three steps until data turns into decisions

Seiran Shueki Fuwa does not just present the results, but is structured in a way that allows you to check the process. The final execution decision always remains with the user.

01

data aggregation

We continuously collect price information and market indicators for over 500 trading pairs from multiple sources and organize them into a comparable format.

02

Pattern recognition by AI

Extract statistically significant trends from the collected data. It distinguishes between one-off fluctuations and persistent trends, increasing the accuracy of judgment materials.

03

Optimized execution support

The extracted trends are organized and presented as viable options. It is up to the user himself to decide whether to proceed or not.

Seiran Shueki Fuwa is not a mechanism to force automatic trading. AI only functions as a high-level assistant, and the final execution authority is always retained by the user.
Usage scene

How to use it according to the financial situation of each company

The optimal investment policy will vary depending on the nature of the funds and the business cycle. Below are two typical usage scenarios.

Managing seasonal surplus funds

In businesses where sales fluctuate seasonally, there are periods when cash on hand temporarily accumulates. You can weigh your money during this period against data-driven options, rather than simply holding onto it until you need it.

Understand short-term fluctuations Ensure liquidity when needed

Reserve fund diversification

Use real-time information on over 500 trading pairs as a basis when considering diversifying your funds across multiple targets rather than concentrating them in a single asset or currency.

Reduce exposure to volatility Numerical decision support
About Seiran Shueki Fuwa

The idea of supplementing financial management decisions with data

Seiran Shueki Fuwa provides decision-making support using data intelligence, primarily for those in charge of fund management at small and medium-sized enterprises and corporations that do not have a specialized department for fund management.

It is designed so that even those who find it difficult to constantly follow market movements can check only the information they need in an organized manner. The purpose is to improve the accuracy of judgment and does not provide a definitive guarantee of profits.

Work scene by Seiran Shueki Fuwa data analysis team
Frequently asked questions

Contents to check before implementation

We will answer frequently asked questions about security, operability, and criteria for selecting analysis targets.

How is a company's financial information and transaction data protected?

The information you register will be managed under standard security measures, including encryption of communications. The information obtained will be limited to the range necessary for analysis and will not be used for any other purpose.

Can I use it without any financial or market analysis expertise?

Although technical terms may be used in some cases, the information presented is organized in a format necessary for making decisions. Initially, it will take some time to learn the basic operations, but the system is not designed with the assumption that a specialized department will be established.

What criteria are used to select over 500 trading pairs?

We select companies based on trading volume, market liquidity, and the possibility of continuous data acquisition. Targets with extremely low liquidity or targets whose data is difficult to confirm are excluded from the scope of analysis.

Is it necessary to integrate with existing accounting and fund management systems?

Integration with existing systems is not required. Initially, we envision that it will be used independently, and then incorporated into the internal operational flow as necessary.

Actual confirmation of data-based fund management

We recommend that you first take a look at the platform screens and how the analysis results are presented. You can decide whether to introduce it after checking the contents.