TMA, or Triangular Moving Average, is a type of moving average that smooths price data by averaging the price over a specific period, giving more weight to the middle values of the dataset. It is calculated by first obtaining a simple moving average (SMA) of a given period and then taking another SMA of that SMA. The result is a smoother curve that can help traders identify trends and reduce noise in price movements. The TMA is particularly useful for discerning long-term trends, as it reacts more slowly to price changes compared to traditional moving averages.