Kıymetsel's algorithm processes market data in seconds and automatically adjusts stop-loss levels based on current volatility. You determine your position size and risk tolerance, and the system does the application.
Panel view: Instant risk score, dynamic stop-loss level and current drawdown percentage for open positions are listed on a single screen. Each change is logged along with information about which data point triggered it.
In sudden price movements, the manual decision process is measured in seconds. These seconds determine the size of the drawdown.
| criterion | Manual Tracking | Kıymetsel Automation |
|---|---|---|
| response time | A few seconds – a few minutes | Recalculation in milliseconds |
| Stop-loss update | Fixed, manually changed | Dynamic based on volatility |
| Consistency of decisions | Varies depending on mood | Fixed to predefined rules |
| traceability | depends on taking notes | Every transaction is automatically recorded |
Kıymetsel classifies market data before forecasting. Price movement, volume change and order book depth are analyzed separately; the result is converted into a single risk score.
Model outputs are combined with user-specified risk parameters. In this way, the system does not apply the same stop-loss distance to everyone; It works according to the defined risk profile of each account.
The system consists of four components. Each component processes a different layer of data and feeds the result into a common risk model.
The stop level is not a fixed percentage; It is recalculated based on current volatility and price range (ATR-like metrics).
Price, volume and order book data are processed in a continuous stream; Delay is kept at a level that does not affect decision quality.
Each position is mapped to a risk score ranging from 0-100. When the score exceeds the threshold value, the predefined action is activated.
Prediction models are periodically retrained with current market data; Rules calibrated to old regimes are not used.
Process flow: data is collected → risk score is calculated → compared with user parameters → stop-loss level is updated or position is closed. Every step is recorded for auditing.
You define the parameters, the system implements and records every change.
You connect your account via the exchange or broker API. The system starts reading the price and order flow through this connection.
You determine your maximum drawdown tolerance, risk percentage per position, and stop-loss sensitivity.
Defined rules come into play. You can change the parameters, pause or disable the system at any time.
Data sources: Stock market price flow, order book depth and volatility indices form the input layer of the model. Streams from third-party data providers undergo consistency checks before reaching the system.
The same risk framework is parameterized differently depending on trading frequency and position duration.
When volatility is high, the stop-loss distance automatically expands or narrows; This reduces unnecessary early exit and excessive slippage in case of sudden price jumps.
During off-screen hours, the system monitors the position according to predefined thresholds and turns it off when necessary; A morning check provides a consistent record.
The drawdown limit is defined based on the portfolio total instead of a single position; When the limit is exceeded, the system reduces positions according to the predetermined priority.
The transaction chain, from data acquisition to stop-loss update, is completed in milliseconds. Latency may vary depending on the API response time of the exchange or broker you are connected to.
Account connections are established through encrypted channels. The system does not request authorization to withdraw money other than the authorization to perform transactions.
Integration is possible with exchanges and brokers offering API access. The supported institution list is checked before connection.
Yes. The system works within the risk tolerance and drawdown limits you define; You can change the parameters at any time.
Forecast models are periodically recalibrated with current market data; Update history can be viewed from your account panel.
Setup consists of account connection and defining risk parameters. Our team will evaluate your demo request and contact you.
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