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AI DATA INTELLIGENCE PLATFORM

Make decisions based on data rather than feeling.

Platbourse is an analysis platform that uses AI to analyze market data in real time and presents prediction accuracy numerically. It is designed to enable individual investors and remote workers working from any location to build reproducible decision-making processes.

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daily Report update frequency
24/7 Data acquisition/monitoring system

Today's analysis summary

Updating in real time
indicatorsnumerical valuecondition
Prediction accuracy score87.4stable
risk assessment index1.12neutral
Number of detected anomalies3 itemsUnder surveillance
Latest report generation06:00 JSTCompleted
Current issues

The information and decision divide faced by investors who work remotely

While the market is constantly moving, there are limits to how much an individual can constantly monitor it. Platbourse organizes this structural issue from a data processing perspective.

  • 01
    Delay in decision-making due to information overloadManually collating multiple sources of information is time-consuming and can delay decision-making.
  • 02
    time zone differenceContinuing real-time monitoring is not practical for remote workers whose working hours do not match those of overseas markets.
  • 03
    Absence of verifiable recordsIf you continue to operate without a mechanism to review the basis for past decisions, the risk of repeating the same mistakes increases.

Analytical findings.What determines the quality of investment decisions is not the amount of information itself, but the system that continues to process information based on a certain standard. Platbourse's design focuses on reducing reliance on human discretion and ensuring continuity of data processing and recording.

core technology

AI engine presents probability distributions rather than predictions

Platbourse's analysis engine returns probabilistic output based on multiple scenarios rather than a single predicted value. This allows you to track the basis of your decisions numerically.

Data acquisition
(Market/Indices)
→
Pretreatment
(Normalization/missing processing)
→
predictive model
(combination of multiple methods)
→
output
(probability/confidence interval)

Processing logs for each stage are maintained and can be reproduced and verified later. Model outputs are treated as probabilities rather than firm predictions.

  • prediction
    Reinforcement of prediction accuracy by using multiple models together

    By combining multiple statistical methods without relying on a single model, we mitigate the loss of accuracy in specific situations.

  • detection
    Automatic detection of abnormal values and sudden fluctuations

    When a price movement that deviates from the normal range is detected, a flag is assigned to the relevant data and recorded.

  • tracking
    Saving processing history in chronological order

    The correspondence between input data and output results is saved in chronological order to enable post-test verification.

The model's output does not indicate the "correct answer" but rather indicates a probabilistic trend within the given data. The final responsibility for the decision remains with the user.

transparency system

Daily reports allow you to check the operational status numerically every day

The core mechanism of Platbourse is to record and disclose processing details on a daily basis, regardless of whether the results are good or bad. Reports are not modified and reflect the data as it was at the time of generation.

Daily report sample

Generation time: 06:00 JST
datePrediction accuracyCompared to the previous dayNumber of detectionsAudit ID
2024-06-0386.1+0.42 itemsRPT-0603-A
2024-06-0485.7-0.41 itemRPT-0604-A
2024-06-0587.4+1.73 itemsRPT-0605-A

About update frequency

Reports are automatically generated every business day at 06:00 JST. Being able to check numbers on a daily basis without relying on weekly or monthly summaries will lead to early corrections in operational decisions.

Audit trail recording

Each report is assigned a unique audit ID, and the input data, model version, and output results at the time of generation are linked and saved. Verification at a later date is possible.

operational process

4 steps from data ingest to decision execution

The usage flow of Platbourse is designed to reduce the need for individual decisions while leaving the final execution decision to the user.

1
data connection

Connect market data and specified indicator sources and set retrieval range and update interval.

2
model analysis

The AI engine processes the connected data and outputs analysis results including probability distributions and confidence intervals.

3
Check daily report

The analysis results are presented as a report every morning, and you can check the differences from the previous day and any detected items.

4
Judgment/Execution

The user makes the final decision as to whether or not it is possible to implement the system by comparing the presented numbers with their own operational policy.

Concept of risk management

Platbourse does not guarantee against loss. We help you understand the expected level of volatility in advance through a risk assessment index.

Expected effects

The main aim is to reduce the time required to collect and collate information for making decisions, and to make it easier to continue reviewing based on records.

Platbourse team verifying analysis results
Management policy

Anything that cannot be explained numerically will not be included in the service.

Platbourse is primarily used by professionals working from overseas locations and individual investors, and is operated with a focus on data processing and record continuity. Detailed functional configuration and installation conditions can be confirmed individually on each page.

View service overview
Frequently asked questions

About technical specifications, security, and support system

We have organized the frequently asked questions when considering implementation into technical and operational aspects.

Technical specifications

How often are AI models retrained?
We regularly review model parameters in response to changes in market data trends. You can check whether updates have been implemented or not from the audit ID in the daily report.
Can I select the data source for analysis?
You can set the source to connect and the acquisition interval within the range of supported market data and indicators. The target range will be announced at the time of implementation.
Is it possible to get the output results using API?
Regarding external linkage of report data, the scope of provision varies depending on the usage plan. Please check the feature details page for details.

Security compliance

Where is the data processed when using it from within Japan?
The processing infrastructure and storage location are clearly specified in the terms of use and individual guidance materials. Inquiries regarding handling by region will be handled individually.
What is the storage policy for account information and transaction-related data?
We manage access privileges and set retention periods, and delete data that is no longer needed after a set period of time.

Support system

What hours are you available to contact support?
We respond to inquiries via email and form during business hours on weekdays. If you have any technical questions regarding the report, please contact us with your audit ID for faster confirmation.
next step

Would you like to start using daily numbers to confirm the basis for your decisions?

In the Platbourse demo, you can see the actual report screen and analysis process. Please compare it with your own operational policy before deciding whether or not to introduce it.

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