Adaptive Virtual Qubit Circuits for Market Signals in MQL5
Summary
The article describes an MQL5 trading model that represents three qubits as a joint eight-state system. It outlines complex state amplitudes, probability measurement, rotation gates driven by market features, controlled phase gates based on feature correlations, and Hadamard gates used to represent uncertainty. A circuit is built dynamically from the inputs, then its gates are applied in sequence before the state is normalized. The article also discusses market volatility and information flow as sources of simulated decoherence.
The author reports real-market results for 2024–2025 and cites a Sharpe ratio of 2.48, below a stated target of 3.5 or more. The excerpt does not provide the other financial result details, evaluation procedure, benchmark comparisons, or enough information to assess reproducibility. It also acknowledges substantial simulator resource demands, difficult hyperparameter tuning, and the need to calibrate for each instrument. The claimed quantum-inspired advantages should therefore be treated as the author’s assertions rather than independently established evidence.
Key ideas
- A joint state representation is used to model three qubits and their possible correlations.
- Market features determine rotation angles, while feature correlations parameterize controlled phase gates.
- The circuit structure adapts to uncertainty and correlation in the supplied market data.
- The article describes reported trading results but provides limited visible evidence for evaluating them.
- The approach faces computing costs, tuning difficulty, and instrument-specific calibration needs.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.