Introduction to technical analysis
Technical analysis is a method of forecasting future price movements by studying historical market data. Its arsenal includes hundreds of indicators β from simple trend lines to complex machine-learning algorithms. Five of them, however, are universal: they are used on every market, in every strategy and by traders of every experience level.
The RSI indicator
The Relative Strength Index (RSI) measures the speed of price changes on a scale from 0 to 100. Values above 70 suggest overbought conditions β the market may be vulnerable to a correction. Values below 30 indicate an oversold market. But RSI does not work in a vacuum: in a strong uptrend it can stay in the overbought zone for a long time β that is not an automatic sell signal.
MACD
MACD (Moving Average Convergence Divergence) shows the relationship between two moving averages β usually the 12 EMA and the 26 EMA. The MACD line is the difference between these two values. The second element is the signal line β a 9-period moving average of the MACD line. The MACD histogram shows the difference between the MACD line and the signal line.
When the MACD line crosses above the signal line, it generates a buy signal. When it crosses below β a sell signal. Divergence between MACD and price (price makes a higher high, MACD a lower one) is one of the most serious trend-reversal signals.
Bollinger Bands
Bollinger Bands are three lines overlaid on the price chart: the middle one is a 20-period SMA, while the upper and lower lines sit two standard deviations away from the average. The bands dynamically adapt to market volatility β they widen when volatility is high and narrow when it is low.
When price touches the upper band, the market may be overbought. When it touches the lower band β it may be oversold. A narrowing of the bands (the so-called squeeze) signals a strong price move ahead β professional traders watch the squeeze and prepare for the breakout.
SMA and EMA
The Simple Moving Average (SMA) calculates the average price over a given period, giving every data point the same weight. The Exponential Moving Average (EMA) gives more weight to the most recent data, reacting faster to price changes.
The 50 SMA and 200 SMA are the most popular levels. Their crossover β the "golden cross" (50 SMA crossing above the 200 SMA) or the "death cross" (crossing below) β is watched by institutional funds. The 9 EMA and 21 EMA are preferred by day traders because of their lower lag.
Three well-chosen indicators from different categories β trend, momentum and volatility β are more effective than ten that work on the same principle.
Indicator confluence
The key to effective analysis is confluence β using indicators from different categories that confirm the same signal. For example: RSI indicates overbought conditions, MACD generates a sell signal, and price touches the upper Bollinger Band. This triple confirmation is far stronger than a single signal.
Avoid piling on indicators that duplicate the same information. Two momentum indicators on one chart add no extra knowledge β only an illusion of certainty. Pick one trend indicator, one momentum indicator and one volatility indicator. That is enough.
Summary
RSI, MACD, Bollinger Bands, SMA and EMA are the foundation of technical analysis. Learn to understand them well, not just read them. Every indicator has its strengths and weaknesses β knowing when to use each tool is what separates the professional from the amateur.
Peter Crawford
Technical Analysis ExpertSenior market analyst with years of experience in the financial markets. Specializes in technical analysis, risk management, and retail investor education.
Legal notice: This article is for informational and educational purposes only. It does not constitute investment advice or a trading recommendation. Trading CFDs involves a high risk of capital loss. We recommend consulting a financial advisor before making any investment decisions.
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