Tokyo Briefing centralizes balance data distributed across multiple exchanges and uses predictive analysis using AI to present numerical information on how to manage surplus funds for your business.
Balances, deposits and withdrawals, and unrealized gains and losses from multiple exchanges are aggregated on one screen and displayed along with risk indicators.
Tokyo Briefing integrates this data into a single platform and uses AI analysis to extract and present only the information necessary for decision-making.
We have translated specialized analysis functions into a form that can be used on a daily basis.
Consolidate account balances, deposit/withdrawal history, and unrealized gains/losses distributed across multiple exchanges on a single screen. There is no need to log in to each exchange and check the numbers, and you can understand the entire status of your funds at once.
AI learns past price fluctuations and trading volume data to index short-term fluctuation risk. The display has been simplified so that you can intuitively compare high and low risks even without specialized statistical knowledge.
We continually review proposed allocations of funds in response to updated market data. Even if there is a sudden market change, you can check the new recommendations along with the underlying data.
You can see what the AI is doing at each stage without turning it into a black box.
We collaborate with major domestic and international exchanges via API to obtain balances, transaction history, and market prices at regular intervals. The acquired data will be unified in format and made comparable.
Using the integrated data, AI analyzes the similarities between past price movements and the current market environment. Detects excess/deficiency of liquidity and risk bias as statistical patterns.
Based on the analysis results, we will propose fund allocation and management policies for standby funds. The proposal also includes data to support the decision, and the final decision is made by the user.
In businesses where demand for funds fluctuates between busy and off-season, we can identify surplus funds that will not be used for the time being and suggest ways to invest them in a way that allows you to withdraw them when needed. The assumption is that the funds will be operated within a range that does not affect cash flow.
If your funds are concentrated in a single asset or exchange, the volatility signals provided by our predictive model can help you consider whether to diversify your allocation. It can be used as a basis for making decisions to mitigate the effects of sudden market changes.
All communications and data at rest are encrypted and access privileges are restricted by role.
The acquired data will be used only to improve the accuracy of prediction models for each user and will not be provided to third parties.
You can start using AI to analyze your fund allocation today. We will provide you with individual information about the initial settings for installation after you make a reservation for a demo.