Technical analysis functions are mathematical formulas and statistical tools applied to price and volume data to identify trading signals, trends, and market conditions. These functions are built into trading platforms like TradingView and exchange charting tools, automating calculations that would otherwise require extensive manual computation.
Core functions include: Moving Averages (SMA, EMA) which smooth price data to reveal trend direction; RSI which measures momentum on a 0–100 scale; MACD which identifies trend changes via moving average crossovers; Bollinger Bands which show volatility and breakout zones; Fibonacci Retracements which map support/resistance at key ratios (23.6%, 38.2%, 61.8%); Stochastic Oscillator which identifies overbought/oversold conditions; and Volume indicators like OBV which confirm price moves. Functions display as overlays on price charts or in separate panels below. Traders combine multiple functions to filter false signals — a practice known as confluence — significantly improving the reliability of any trade setup.
Example: A trader uses a 50-period EMA, RSI(14), and MACD on Bitcoin’s daily chart. When price crosses above the EMA while RSI rises above 50 and MACD shows a bullish crossover simultaneously, this triple confluence confirms a high-probability long entry.
Learn more: TradingView — Indicators & Strategies Guide
