An image that symbolizes Kizuna Quanto AI’s real-time market data analysis
AI predictive analysis platform

Next-generation asset formation guided by data.

Kizuna Quanto AI provides actionable investment decisions based on real-time predictive analysis. Even if you don't have time to manually analyze data in between your day jobs, we've designed it so that you can make decisions to generate stable side income without any complicated tasks.

Registration only takes a few minutes. No credit card information required.

The challenge of being caught between “time” and “income”

Gathering information for investment decisions in between your day job or gig work is a more taxing task than you might imagine. If you miss a sudden change in the market, it will lead to a loss, and conversely, if you take too long, it will put pressure on your main business hours. There are structural limits to the ability of individuals to continuously read market data and make decisions within a limited amount of time.

Kizuna Quanto AI acts as "another analyst" who takes on this load for you. By using AI to monitor and analyze market data, users will be able to focus on making grounded decisions in less time.

Average frequency of manual analysis checks multiple times a day
Monitoring with Kizuna Quanto AI 24 hours a day
Tasks required of users Final judgment only
core technology

Predictive models and risk management mechanisms

It is designed so that professional statistical processing can be used without complicated operations. The following three functions support daily decision-making.

01

24-hour market monitoring

We constantly obtain domestic and international market data and detect statistically significant changes. It also captures people's movements during times when they are resting.

02

risk management engine

If the probability of unexpected price fluctuations or losses increases statistically, we will automatically notify you based on pre-set thresholds.

03

Individually optimized strategy proposal

It presents data-based strategy candidates according to the target profit and risk tolerance set by the user. We do not use expressions that arouse excessive expectations.

Transparency of mechanism

How AI derives decision materials

The internal processing of Kizuna Quanto AI consists of the following three stages. The final investment decision is always left to the user.

01

data collection

We continuously aggregate a variety of market data, including domestic and international exchange data, economic indicators, and price fluctuation history.

02

pattern recognition

Compare past similar situations and current market trends and extract patterns with a statistically high probability of occurrence. It shows trends as probabilities rather than definitive future predictions.

03

Strategy implementation support

We refer to the operational logic of the proven institutional investor model and present strategy candidates tailored to the user's goals. It is up to the user to decide whether to run it or not.

Usage scene

Specific usage for those aiming for supplementary income

We will introduce two typical cases in which it is actually used.

Scene 01: Utilizing free time

Identifying opportunities during free time from gig work

There is a limited amount of time available between deliveries and outsourcing. It is not realistic to keep an eye on the market. Kizuna Quanto AI instead detects the changes that occurred during that time period and organizes them as decision materials.

Occurrence of free time AI detects and organizes market changes Decision and execution in a short time

Information provided in this scene

  • Recent price fluctuations and statistical probability of occurrence
  • Trends in similar situations in the past
  • Compliance with set risk tolerance
Scene 02: Long-term risk management

Protect your side income from sudden changes in the market

You want to avoid a situation where your investment as a side income disappears temporarily due to a sudden drop in market prices. Kizuna Quanto AI continuously monitors your asset allocation and suggests adjustments when risks increase.

Registering asset allocation AI continuously monitors bias and risk Presentation of adjustment plan and decision on implementation

Information provided in this scene

  • Asset Allocation Risk Deviation Report
  • Assumed scenario during market shift
  • Candidate proposals for reallocation
An image that symbolizes the data analysis platform of Kizuna Quanto AI

Quiet decision-making support that Kizuna Quanto AI aims for

Kizuna Quanto AI is not a service that makes investment decisions on your behalf. By organizing a large amount of market data and presenting statistically based options, we aim to provide an environment where users can make decisions calmly and at their own pace.

We do not excessively exaggerate investment results or use expressions that promise large profits in a short period of time. Based on the premise that investments involve risk, we focus on making that risk as visible as possible and making it easier to manage.

Frequently asked questions

Frequently asked questions before implementation

How reliable is AI analysis?

Kizuna Quanto AI predictions are a presentation of statistical trends based on past data and do not guarantee future results. Based on the premise that there is no investment method that completely eliminates risk, we aim to visualize risk and use it as a basis for decision-making.

Do I need any specialized knowledge or programming experience?

No need. It is designed so that it can be used by simply checking the indicators and suggestions on the screen and selecting whether to execute them or not. It does not assume any financial expertise or writing code.

What is the fee structure?

Free trial use is available. Details of pricing plans for continued use are provided in the system specifications and explanatory materials at the time of contract. No costs will be incurred without prior consent.

Turn your decision-making into professional intelligence.