QuantumSync operates as an intermediary data validation layer between data streams and trading algorithms.

Utilizing distributed ledger technology, it allows for instantaneous cross-verification of incoming data from multiple sources.

The platform employs machine learning models to predict potential data anomalies and flag them for review.

Additionally, QuantumSync incorporates a robust set of APIs to enable seamless integration into existing trading infrastructures, ensuring minimal latency while maintaining high throughput and accuracy.

By providing consistent real-time data verification, QuantumSync reduces financial losses due to data errors, enhances decision-making precision, and restores trust in trading data inputs.

It outperforms existing solutions by offering a scalable, automated, and integration-friendly approach that is specifically designed for the high-speed needs of high-frequency trading.

Technologically, the solution is feasible given the advancements in distributed ledger systems and machine learning for real-time analysis.

The primary cost barrier is the initial setup and integration with existing systems, but these are manageable with strategic partnerships.

Regulatory compliance is medium-tier and largely achievable; however, the competitive landscape remains challenging with established financial data services firms potentially entering the market.