How to Calculate and Interpret Seven Technical Indicators
Summary
This article introduces seven indicators commonly used in chart analysis and describes what each measures: moving averages smooth price changes; Bollinger Bands reflect volatility around a moving average; RSI and MFI assess momentum and possible overbought or oversold conditions; ATR measures price volatility; Force Index combines price movement with volume; and Ease of Movement relates price movement to volume. It outlines calculation concepts and presents the indicators as examples that can be computed and plotted with Python tools.
The discussion gives common interpretation guidelines, including RSI levels below 30 or above 70 and MFI levels below 20 or above 80, while noting that thresholds can vary. It cautions that overbought or oversold readings alone are not sufficient trade reasons, especially in strong trends, and suggests confirming signals with other indicators. The article also notes that indicator behavior differs by security and that lookback settings can be adjusted. It provides educational explanations rather than evidence of profitable strategies or systematic out-of-sample performance.
Key ideas
- Moving averages smooth short-term price fluctuations by averaging observations across a rolling window.
- Bollinger Bands widen and contract with volatility around a moving average.
- RSI and MFI can flag extreme momentum conditions, but their thresholds may need adjustment.
- ATR estimates volatility from current and previous price ranges.
- Force Index and Ease of Movement combine price information with volume to assess pressure or trend.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.