Moving Average Use Cases
Low-code tools are going mainstream
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Multilingual NLP will grow
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Combining supervised and unsupervised machine learning methods
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Automating customer service: Tagging tickets and new era of chatbots
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Detecting fake news and cyber-bullying
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📍 What Is a Moving Average (MA)?A Moving Average (MA) is a popular technical analysis tool used in finance to indicate the stock's average price over a certain time frame. Its purpose is to reduce price volatility by creating a continually updated average price based on the stock's historical data.
The computation of a moving average helps to minimize the influence of unpredictable and short-term price fluctuations on a stock over a designated period. Two types of moving averages are commonly used: simple moving averages (SMAs) that employ a straightforward arithmetic mean of prices over a particular timeframe, and exponential moving averages (EMAs) that prioritize recent prices over older ones by assigning them greater weight.
📍 Simple Moving Average(SMA) A simple moving average (SMA) is a technical indicator that calculates the average of a range of prices over a specific number of time periods. It can help determine if an asset price will continue or reverse a bull or bear trend. It is an arithmetic moving average, calculated by adding recent prices and dividing by the number of time periods in the calculation. SMAs can be short-term or long-term, with short-term averages responding quickly to price changes and long-term averages being slower. Other types of moving averages include exponential moving averages (EMAs) and weighted moving averages (WMAs).
📍 What Is an Exponential Moving Average (EMA)? The exponential moving average (EMA) is a moving average (MA) technique that assigns more weight to the most recent data points. It is also known as the exponentially weighted moving average. Compared to a simple moving average (SMA) that gives equal weight to all data points in the period, an EMA reacts more strongly to recent price changes.
