Predictive models and automation engines analyze market data in real-time to optimize capital allocation decisions. Get started anywhere with no minimum deposit.
Create a free accountLocation-independent working offers freedom, but also makes income waves less predictable. 峰算苑 uses AI to address this issue.
Nomad workers' income fluctuates depending on contract status and exchange rates. While you are on the move, information updates will be delayed, making it easier to make decisions about fund allocation. Decision-making based on gut feeling doesn't mesh with long-term financial planning.
峰算苑's AI engine continuously analyzes market data and capital flows. It automatically presents an allocation plan that spreads risk, supporting optimization of decision-making. Decisions are always based on data.
The same engine processes the three processes consecutively: analysis, prediction, and execution.
Get minute-by-minute market data and currency fluctuations to detect unusual movements. Maintaining the freshness of information affects the accuracy of decisions.
Learn past price movements and multiple economic indicators to calculate short-term capital allocation scenarios. It does not rely on a single metric.
Automatically execute the decision optimization process based on the risk tolerance you set. Execution results are recorded as history.
Once the initial settings are completed, the AI will continue to perform subsequent analysis and adjustments.
Sign up for an account and set your risk tolerance in minutes from your smartphone. No need to interrupt your work while on the move.
AI analyzes market data and continuously updates optimization proposals for fund allocation. Updates can be checked as a history.
Receive notifications only when there are important changes. Normally, you can concentrate on local work and transportation.
峰算苑 provides AI decision-making optimization along with technical explanations. Rather than exaggerating the results, we place emphasis on maintaining the system itself in a state where it can be verified.
The data sources, model assumptions, and risk management criteria used in the analysis can be found in the sections below.
Being able to confirm the basis for decisions is a prerequisite for data-based decision-making.
Forecasting models are based on statistical methods that combine time series data and multiple economic indicators. We do not make decisions that rely on a single indicator or market view. Model outputs are periodically verified for consistency with historical data.
The data used is obtained from publicly available market data and affiliated information sources. The update frequency varies for each metric, and the retrieval status is recorded internally.
Set a limit on the allocation of funds. If we detect sudden market movements, our allocation will automatically switch to a more conservative setting. The switching criteria can be adjusted for each user.
Registration is free and there are no minimum deposits. You can start by checking how it works.
Create a free accountThere is no binding contract period. You can cancel your registration at any time.