Weighted Moving Averages

Weighted moving averages are statistical calculations that give more importance to recent data points while smoothing out fluctuations over a period of time. In oracle systems, this helps to provide a more stable and reliable price feed that is less susceptible to sudden, short-term market spikes.

By weighting the data, the oracle ensures that the reported price reflects current market trends while ignoring transient volatility. This is particularly useful for lending protocols and derivative markets that need to avoid triggering liquidations due to momentary price glitches.

It is a standard tool in quantitative finance for trend analysis and risk management, adapted for the unique constraints of blockchain-based price discovery. The choice of weights and time windows is critical for balancing responsiveness with stability.