βΊοΈMulti-Source Data Aggregation
Datum Oracle collects similar data from multiple independent sources to ensure the accuracy and tamper-resistance of the provided data. This data is processed through advanced aggregation algorithms to ensure that the final output represents a broad and impartial view of information.
Data Source Selection:
Choose reputable and long-established data providers.
Diversify the geographical locations and jurisdictions of data sources to ensure global data coverage and mitigate legal risks.
Aggregation Algorithms:
Mean and Median: Suitable for most financial and market data.
Outlier Removal: Excludes outliers to reduce the impact of extreme data on the results.
Weighted Average: Assigns different weights based on the reliability and historical performance of the data sources.
Last updated