- Commodity Watch price predictions are generated using advanced technical analysis applied to long-term historical price data. The prediction model does not rely on news alerts or real-time events.
- Price Prediction Methodology:
Price forecasts are based entirely on historical commodity pricing trends. The system analyses more than 100 market indicators—including moving averages, momentum indicators, volatility metrics, and volume patterns—using up to 11 years of historical data. A machine learning model identifies recurring patterns and produces price forecasts for 30-, 60-, and 90-day time horizons. - Important:
Current events, news alerts, or Event Watch data are not used as inputs for price prediction. The forecasts are derived solely from historical price movements and technical indicators. - Data Sources:
Commodity Watch pulls pricing data from established global commodity exchanges. This includes data from the London Metal Exchange (LME), along with other major exchanges. Historical pricing information is sourced via Yahoo Finance, which aggregates and standardizes data from multiple global commodity trading venues to ensure accuracy and market consistency.
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