ANA.Japan supports crypto asset investment decisions using predictive models that integrate on-chain and market data. We provide analytical methods used by institutional investors in a format that even students can use.
Simulations are based on past data and do not guarantee future results.
The cryptocurrency market has large price fluctuations, and short-term price movements have a strong emotional impact on investment decisions. For student investors, even a small amount of capital is not a small psychological burden.
| point of view | emotional trading | data optimization trading |
|---|---|---|
| Judgment criteria | Sudden price fluctuations and topicality on SNS | Statistical basis with back-tested algorithms |
| risk management | No pre-setting, risk of increased loss | Upper limit setting based on VaR (value at risk) |
| psychological load | High stress during price fluctuations | Control fluctuations in judgment through rule-based operations |
| reproducibility | Difficult to reproduce as it depends on individual experience and intuition | The same logic can be applied continuously |
ANA.Japan's analysis engine is not some mysterious "magic"; it consists of three distinct processing stages. We recommend that you understand the role of each before using them.
Continuously acquire on-chain transaction records and market data from each exchange to visualize the flow of funds behind price formation.
VaR (value at risk) calculations quantify the maximum loss expected within a certain period of time and adjust it to ensure that it does not exceed the allowable range.
A model that has learned past patterns will suggest a combination with a good risk-return ratio from among multiple strategy candidates.
Below is a conceptual diagram comparing the cumulative performance of a data optimization strategy and a simple buy-and-hold strategy. You can check the actual numbers on your dashboard after registering your account.
Past results do not guarantee future results. This simulation shows the estimated value when the same logic is continuously applied, based on the past 10 years of available market data and on-chain data. Future performance may differ due to changes in market conditions.
No complicated settings are required from registration to receiving the first analysis results. You can decide how much money to invest at each step.
You can connect your existing exchange API or start in simulation mode using only public market data.
Enter the maximum expected loss amount and investment period to set the VaR range that suits you. You can change your settings at any time.
Based on the risk range you set, back-tested strategy candidates and their supporting data are presented.
ANA.Japan does not present crypto assets as "easy money". Instead, it provides a way to use data and mathematical models to improve the accuracy of decisions.
We assume that users understand the meaning of indicators such as VaR and expected return before operating them, and we have provided explanation pages for each indicator within the dashboard.
See why we choose youWe will answer from a technical perspective about security, the definition of AI, and how to start with a small amount.
The API connection recommends read-only permissions only and does not grant permission to transfer funds or perform transactions. Connection information is stored encrypted.
It refers to a predictive model that learns historical market data and on-chain data to extract statistically significant patterns. Rather than completely eliminating human discretion, it is positioned to provide material for judgment.
It's possible. In simulation mode, you can check the behavior of the strategy without investing actual funds, and you can set the investment amount arbitrarily when moving to actual operation.
This may not necessarily be the case. Backtesting is a verification result in the past market environment, and if the future market structure changes, the same results may not be reproduced.
ANA.Japan operates a community of student investors who also value data-driven decisions. First, check your own risk tolerance through simulation.
Start your simulation for free