mozgóátlagok

Mozgóátlagok, often translated as moving averages, are a fundamental concept in financial analysis and time series forecasting. They are technical indicators used to smooth out price data by creating a constantly updated average price. This averaging process helps to reduce the impact of random fluctuations and highlight longer-term trends.

There are several types of moving averages, with the simple moving average (SMA) and the exponential moving average (EMA) being the most common. The SMA is calculated by summing up the closing prices over a specific period and dividing by the number of periods. For example, a 10-day SMA would be the sum of the closing prices for the last 10 days divided by 10. The EMA, on the other hand, gives more weight to recent prices, making it more responsive to new information.

Traders and analysts use moving averages for various purposes. They can help identify the direction of a trend, as prices moving above a moving average are generally considered bullish, while prices below are considered bearish. Crossovers between different moving averages are also significant signals. For instance, when a shorter-term moving average crosses above a longer-term moving average, it can signal a potential upward price movement. Conversely, a short-term moving average crossing below a long-term moving average may indicate a downward trend. Moving averages also serve as dynamic support and resistance levels.