AI centrally visualizes dispersed overseas assets
Consolidate portfolios across multiple exchanges and maintain quality decisions on the go with real-time analytics and risk hedging capabilities. Even if we change our base, our decision-making principles remain the same.
The more you move overseas, the more complex asset management becomes.
Different screen configurations for each exchange, differences in trading timing due to time differences, and differences in currencies and regulations. For investors who manage their assets while moving from one location to another, the dispersion of information itself poses a major risk. Time spent manually updating spreadsheets takes away time that could be better spent making decisions.
Reduce the burden of distributed management with a unified dashboard
Synth-X Quant consolidates data from multiple exchanges into a single management screen. AI continuously analyzes owned assets and risk indicators and presents prioritized proposals, creating an environment where you can focus on decision-making rather than information gathering.
Designed with an operational system independent of locations
Synth-X Quant is built on the premise that operation does not depend on a specific location or office. As long as you have a network environment, you can access the same analytical infrastructure from any city. Based on the premise that it is difficult for professionals and remote investors who travel a lot to find time to spare, we have adopted a structure that displays information in the order of priority.
By narrowing down the information needed to make a decision, you can reduce the time required for confirmation and free up time to make strategic decisions.
Three foundations that support decision-making optimization
Processing everything from data acquisition to analysis and proposal display using a consistent system, reducing the complexity of distributed management.
real-time analysis
It processes price, volume, and order book data from each exchange at short intervals to update the volatility and correlation of the entire portfolio. The information on which decisions are made is always kept up-to-date in response to market changes.
risk reduction engine
The model continuously evaluates the concentration of assets and correlated risks, and suggests hedge candidates if the risk exceeds a pre-set acceptable risk level. Execution decisions are always made by the user, and AI remains in the role of providing evidence-based analysis.
Multi-exchange integration
Connect multiple exchanges using read-only API keys and aggregate only balances and transaction history without passing asset deposit and withdrawal authority to the platform side. Even if you add or change exchanges, the standard of analysis remains consistent.
Quant engine processing flow
The flow from data acquisition to presentation is divided into three stages so that the basis for the proposal can be tracked.
Data acquisition
Retrieve balance, trading history, and order book information from connected exchanges via API. Authentication information is encrypted and used only to the extent that it does not include the authority to move assets.
predictive modeling
Based on the acquired data, a model is run that analyzes volatility, correlation, and past price movement patterns. Analyzed weights are continuously updated as the market environment changes.
Transformation into actionable insights
The results of the analysis are displayed on the dashboard as recommendations organized by priority. Since it is possible to check which indicators the proposal was based on, it maintains the premise that the final decision is made by the user himself.
Three ways to use it depending on your work style
How you use the dashboard will vary depending on your asset building purpose and trading style.
Nomadic portfolio management
This structure is for users who want to build medium- to long-term assets while working in a mobile manner. The dashboard focuses on asset allocation and risk indicators, and is designed to allow you to spend your time checking direction rather than reacting to minute daily price movements.
automatic risk hedging
Even at times when the market cannot be constantly monitored due to time differences, you will receive notifications and hedge candidates when the risk tolerance you set is exceeded. This configuration allows users who actively trade to continue risk management while securing time for sleep and travel.
Cross-border opportunity detection
AI detects changes in price differences and correlations that occur between multiple exchanges and markets, and presents them as material for strategic position adjustment. The final execution decision and risk tolerance settings are made by the user.
Security and deployment questions
Please tell me about security measures.
A read-only API key is used to connect to the exchange and does not grant any permissions to transfer or withdraw assets. Authentication information is stored encrypted and used only as necessary for analytical processing.
How long will it take to implement?
The initial setup is often completed within a few business days, as the main task is to issue an API key for the exchange and register it on the platform. The period will vary depending on the number of exchanges you connect to and your internal approval process.
Please tell me which exchanges are supported.
Compatible with major overseas crypto asset exchanges and some securities-related services. The status of compliance is being reviewed in response to changes in the market environment and regulations, so the latest status can be confirmed through individual consultation.
Asset management criteria can be consistent even if you change locations.
Before implementation, we will ask you about your current exchange structure and risk management status, and guide you on how to utilize the integrated dashboard.