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Image of market data analysis using Custodostra AI’s AI prediction model

AI analyzes data and helps optimize investment decisions

Custodostra AI provides an AI prediction model that continuously analyzes domestic and international market data, and a "copy trade" function that reproduces proven investment strategies as is. It processes an amount of data that humans cannot keep up with and provides consistent information for making decisions that are not influenced by emotions.

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Processing flow
1
Data acquisitionPrice, trading volume, volatility, etc.
2
AI prediction modelDetecting statistical patterns
3
risk assessmentAdjustment according to permissible width
4
automatic executionOrder only when conditions are met
Current issues

Manual data analysis has structural limitations

  • It is realistically difficult to continuously track price movements of multiple stocks and multiple markets manually.
  • During periods of sudden price fluctuations, impatience and expectations can affect decisions and lead to buying and selling that differs from the plan.
  • Although the market continues to move nearly 24 hours a day, it is not possible for individuals to constantly monitor it.
  • Gathering the information needed to make investment decisions can consume more time than the analysis itself.

These restrictions apply to everyone, regardless of whether they have investment experience or not. The problem is not the amount of knowledge, but the amount of data that can be processed and whether there is a system to make decisions consistent.

Custodostra AI is designed to supplement both throughput and consistency with AI predictive models and automated execution processes.

core solution

Operation mechanism using AI prediction model and copy trading

AI continuously ingests market data such as price, volume, and volatility to detect statistically significant patterns and generate signals. The generated signals work with top AI operating strategies that publish their past performance and automatically replicate the same ratio of trades within the user's account. This is a mechanism called "copy trading".

Market data acquisition
→
AI predictive model analysis
→
Synchronization and execution with strategy

Past performance is for reference only and does not guarantee future results.

Changes due to use

  • Emotionless, rule-based mechanical decision-making becomes possible
  • After the setup is complete, constant monitoring is no longer required and operation continues automatically.
  • You can check past operational data for each partner strategy before making a selection.
  • You can adjust parameters according to your capital allocation and risk tolerance
Three technical pillars

Predictive analysis/risk management/real-time optimization

01 / PREDICTIVE ANALYTICS

Predictive analytics

We use machine learning models to analyze price trends and trading volume data from the past to the present, and detect patterns with statistical advantages. Evaluate a combination of multiple data series rather than a single metric.

02 / RISK MANAGEMENT

risk management

Automatically calculate position size and loss tolerance based on set conditions. It also has pre-built rules for dealing with unexpected price movements.

03 / REAL-TIME OPTIMIZATION

Real-time optimization

Continuously review model outputs and positions as market conditions change. Decision optimization is designed to be a continuous process, not a one-time event.

Supported data: Major domestic and international price, volume, and volatility indicators. Processing method: Combination of batch processing and real-time processing on the cloud. Execution environment: Automatic ordering via API provided by securities companies and exchanges.
Data analysis work by the Custodostra AI development team
About Custodostra AI

An approach that combines data science and financial engineering

Custodostra AI is powered by a team that specializes in analyzing market data and automating decision making. In designing the model, we emphasize not only the accuracy of predicting short-term price movements, but also the consistency of risk throughout the entire operation.

Our policy is to "disclose the system in a way that anyone can understand." When using technical terms, we explain their meanings and limitations, and avoid expressions that may lead to excessive expectations.

View company information
Process transparency

5 steps from data acquisition to automatic execution

1

data collection

Continuously capture price, volume, volatility metrics, and more from multiple markets.

2

Analysis using AI prediction model

Run the data you collect through statistical models to find patterns and signals of advantage.

3

risk assessment

Automatically calculate position size and loss tolerance for detected signals.

4

automatic execution

The order will be executed in the linked securities account only if the set conditions are met.

5

reporting

Visualize the details of executed transactions and operational status in a format that can be checked regularly.

6

Continuous review

We regularly test model assumptions and risk settings as market conditions change.

All operational processes are automated, but the basis for each step's decisions can be confirmed from the user's dashboard. Past analysis results and operational performance are provided as reference information and do not guarantee future results.

Frequently asked questions

Technical and operational questions

How are AI investment decisions determined?
Statistical models analyze market data such as price and volume, and generate signals based on patterns determined to be advantageous based on past data. It evaluates a combination of data elements rather than a single rule.
Can I use it even if I have no investment knowledge?
When using the copy trade function, the selection of individual stocks and decisions on buying and selling timing are left to the AI ​​and the partner's strategy. However, you will be responsible for allocating your funds and setting your risk tolerance.
How are funds managed?
Funds are managed within the linked securities account, and Custodostra AI does not directly keep the funds. Transactions will only be executed to the extent authorized by the User.
Is there a possibility of a loss?
Yes, there is. Even when operations are based on analysis of market data, there is always the possibility of losses due to price fluctuations. Past performance does not guarantee future results.
How much time do you need to devote to operations?
Once the initial setup (selecting strategies to work with, allocating funds, entering risk tolerance) is complete, routine monitoring is not required. However, we recommend that you check your reports periodically.

First, check the analysis results of the AI prediction model for free

Before registering, you can see an overview of each strategy's historical operating data and analysis logic. There is no obligation to apply or review.

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