Wielgor Funder processes market data in real time and translates it into specific recommendations. Less screen time, more risk control - regardless of the time zone you work in.
The system analyzes incoming data and generates recommendations. Each of them is described along with risk parameters before it is implemented.
The model processes market data streams without the delays typical of daily reports.
Input parameters – time horizon, risk tolerance, available capital – modify the way the system ranks recommendations.
Each decision made by the system is recorded along with the date, parameters and verification status. The log is not editable after saving.
| Date/time | Instrument | Decision type | Risk level | Verification status |
|---|---|---|---|---|
| 04/03, 09:12 | EUR/USD | Entry recommendation | Low | Verified |
| 04/03, 09:27 | Wide index | Reduction recommendation | Medium | Verified |
| 04/03, 09:41 | Raw materials | Deviation alert | Tall | In progress |
| 04/03, 10:03 | Short-term bonds. | Exit recommendation | Low | Verified |
The system sets exposure thresholds based on previously defined parameters and reacts to exceedances without the need for manual intervention. Each reaction is visible in the dashboard and in the log.
The configuration does not require constant presence at one device or a fixed location.
Connect brokerage accounts or market data feeds via a secure API connection.
Specify the time horizon, risk tolerance and scope of instruments covered by automation.
The system performs defined actions and records them in a public results log.
Configure parameters once, monitor results in a public log, and make decisions based on verified data - regardless of where you work.