Lumen Soltrix integrates data from multiple income sources with AI-driven predictive modeling to provide real-time visibility into the metrics needed to make asset allocation and risk decisions.
The dashboard allows you to see your asset allocation, risk metrics, and daily performance on a single screen. Display items can be adjusted for each user.
Investors and office workers with side jobs are surrounded by market data, SNS information, and transaction history that continues to increase every day. Manually organizing these and incorporating them into decision-making requires expertise and time.
Data spread across multiple exchanges and accounts must be reviewed individually, making it easy to overlook signs of change.
Run raw data through an analysis engine to extract only high-priority metrics. It integrates stocks, crypto assets, and business profits into one screen, clearly presenting the information you need to make decisions.
AI processes judgment materials at high speed, but the final decision-making is always left to the user.
Process market data and registered asset information in minutes to detect signs of change. Processing results are immediately reflected on the dashboard.
Daily updated reports document changes in asset allocation, risk metrics, and validation of forecast accuracy. We will also disclose the basis for AI decisions to maintain transparency.
Detects unexpected increases in volatility in advance based on historical data and correlation analysis. It is only a matter of presenting the materials for judgment, and the decision to proceed is made by the user.
It does not guarantee a specific outcome, but is a processing process to improve the accuracy of judgment.
Collect information from multiple sources such as account information, market data, business metrics, etc. and unify the format. Missing and outlier values are automatically detected.
The integrated data is applied to multiple models to calculate estimation results for each scenario. Model accuracy is continuously verified.
The analysis results are presented as prioritized recommendations. Users can make decisions after checking the underlying data and logic.
All explanations are based on hypothetical situations and do not promise specific results.
I had a portfolio of crypto assets and stocks distributed across multiple exchanges, making it difficult to track price movements individually.
Lumen Soltrix centrally visualizes all assets and detects bias toward highly correlated asset classes. Daily reporting allows rebalancing decisions to be made as early as the next business day.
I was running a small business in parallel with my main business, so I didn't have the luxury of knowing in advance about changes in cash flow.
Predictive modeling proactively detected seasonal sales fluctuations and reported when cash flow would be tight. As a result, we are now able to start considering funding at an early stage.