CoinTörAI collects raw transaction data from different exchanges in a single panel and transforms it into interpretable outputs through algorithmic models. Corporate treasury teams and individual investors work with a single decision support surface rather than dispersed data sources.
Start AnalysisHigh volumes of transaction data change at speeds that cannot be tracked by the human eye. CoinTörAI's models detect recurring patterns in this data, providing early warning to decision-making.
Rebalancing recommendations are produced by evaluating portfolio distribution, past price movements and volatility indicators together.
Position concentrations are monitored according to the determined risk thresholds, and a warning is displayed on the panel when the threshold is exceeded.
Price and volume relationships in multiple sources are compared without being limited to the data of a single exchange.
Indicative illustration: the relationship between price action (blue) and risk score (orange) is shown representatively.
Separately tracking accounts spread across different exchanges leads to wasted time and inconsistent decision data. CoinTörAI combines these sources into a single dashboard, providing a holistic view of balance, position and risk indicators.
The goal is to achieve a clearer picture with less delay, not more screens. Teams operate from a single point of reference rather than switching between separate tabs.
The system does not replace the decision-making process; It works as a layer that provides input to human decision making. The following three steps summarize how raw data is processed.
Price, volume and balance data from connected exchanges and APIs are collected at regular intervals and converted into a standard format.
The collected data is processed through statistical pattern recognition and risk scoring models. Models are based on relationships in historical data.
Model outputs are presented as interpretable recommendations and alerts in the user's dashboard; In any case, the final decision is made by the user.
The following two scenarios show how the platform can be used at different scales.
Corporate treasury teams centralize liquidity and exposure tracking by monitoring assets held across multiple exchanges from a single dashboard. When risky concentrations are detected, the team acts according to the warnings on the panel instead of manual reporting.
This approach reduces time spent switching between separate exchange interfaces and bases the reporting process on a single data source.
For high-volume individual investors, portfolio imbalance often results from the inability to consider positions on different platforms together. CoinTörAI combines these positions, presenting the imbalance signals in a single view.
The user evaluates the proposed balancing steps according to his own risk tolerance; The system does not perform the operation automatically.
The following questions cover topics frequently raised by teams evaluating AI solutions in the fintech space.
API keys are stored encrypted and it is recommended to connect with read-only permissions only. The platform does not request a connection that requires withdrawal authorization. Data transfer is carried out over encrypted connections.
CoinTörAI periodically pulls balance, transaction and market data by connecting to standard API endpoints of supported exchanges. A new exchange connection is added by defining the existing API key in the panel; No separate installation process is required.
Models are backtested on historical data and their performance is monitored regularly. Outcomes are presented as probabilistic evaluations, not definitive results; Therefore, the final decision always belongs to the user.
You can request a demo or contact our team directly to examine the platform's panel structure and sample scenarios.