Future Park combines a predictive model that analyzes market data in real time with a smart stop loss function that automatically controls losses to support decision-making centered on minimizing drawdowns.
The dashboard aggregates forecast signals, risk scores, and stop loss setting status on one screen.
Individuals who engage in asset management as a side job tend to widen their losses through haphazard buying and selling in response to sudden price movements. Future Park replaces this decision process with data.
When prices change suddenly, it is mentally taxing to judge when to cut your losses each time, and as a result, there are many cases where losses are delayed. Given the time constraints of operating this as a side job, constant monitoring itself is not practical.
Manual decisions based on emotions tend to lead to variations in loss width
Future Park automatically adjusts the stop loss line according to the volatility and position situation, and controls the position so that it does not exceed the predetermined allowable risk. Delays in decision making are eliminated through a mechanism.
State where variation in loss width is suppressed by automatic control
Predict, defend, and execute. They do not function independently, but together constitute operational logic.
Continuously ingests price data, volume, and volatility to update the probability distribution of short-term price movements. Keep decision-making materials up-to-date.
Rather than a fixed width, the stop loss line dynamically adjusts depending on market volatility. It is positioned at the core of the entire operation as a mechanism to protect funds.
Once the conditions are met, the order will be executed according to the rules you have set. This design eliminates the need to constantly check the screen, making it easy to balance with time constraints as a side job.
Future Park aims to operate without relying on discretionary judgment, and is designed with both predictive models and risk management logic. The aim is to provide a reproducible decision-making process, rather than instilling undue expectations.
Model assumptions and parameters are regularly reviewed and repeated verifications are made in response to changes in the market environment. The operational rules are made public and we take a policy of avoiding turning them into black boxes.
See company profileRather than emphasizing specific success stories, we provide the basis for our decisions by disclosing the structure of the process itself.
Market data such as price, trading volume, market information, etc. is continuously collected, noise removed and normalized, and then passed to the model.
We evaluate models from both prediction accuracy and risk indicators by combining backtesting against past data and validation using recent data.
Based on verified signals, we adjust execution conditions, including smart stop loss settings, and reflect them as orders.
Assuming that individuals operate the service in between their main jobs, we have organized situations where risks can be managed while minimizing the burden of monitoring.
When the ratio of assets held deviates from the target, Future Park will make a rebalancing proposal based on the set rules. This reduces the time required for manual stock selection and makes it easier to continue operations in parallel with your main business.
If the risk score of a particular position exceeds a threshold, the smart stop loss will reduce the position in stages. By entrusting the response to sudden changes to the system, emotional additional buying and selling can be suppressed.
We will answer questions about security, processing speed, and implementation hurdles from a technical perspective.
Your connection information is stored encrypted and uses only the minimum privileges necessary to place an order. We do not require you to register an API key that includes the authority to withdraw funds.
It is designed as a series of processes from data capture to signal generation and order execution, and is configured to minimize delays even during rapid price fluctuations. However, the actual timing of execution will vary depending on the execution status on the market side.
Operation rules and risk tolerance operate within preset limits, so daily discretionary decisions are not required. At the time of implementation, you will be provided with instructions on how to set your risk tolerance.
Simply follow the on-screen instructions to get started, from registering an account to setting your risk tolerance. First, check the predictive model and stop loss behavior with a free simulation.
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