Stocks & Commodities V. 26:4 (44-47): RSI Bands by Francois Bertrand
Product Description
RSI Bands by Francois Bertrand
In this twist on the traditional relative strength index, find out how it can be used as a visual analytical tool and with other technical indicators.
The relative strength index (RSI) is a popular indicator to evaluate if a stock is overbought or oversold. However, its values range from zero to 100 and must be evaluated in a separate window, making its correlation with price and trends more difficult than other indicators that are overlaid directly on price charts such as the Bollinger bands.
In this article I present a way of calculating RSI bands, which trace RSI overbought/oversold levels directly over price data, making this indicator more intuitive to use and opening up new analysis and signaling possibilities.
CALCULATING RSI BANDS
RSI bands are calculated by answering the question, “What price should the stock have to reach today to be considered overbought/oversold, given yesterday’s RSI?”
Each band corresponds to a certain level. Typically, 70 and 30 have been used as overbought/oversold levels, so we would draw one band for 70 and one band for 30. Because calculations are based on the original RSI calculations, bands can be drawn for any level and any period of time. If given extreme values (such as a very short period), however, the bands get very volatile. The addition of an optional clamping algorithm solves that problem.
The code used to calculate RSI bands can be found in the sidebar “AmiBroker code for calculating RSI bands.”
In this twist on the traditional relative strength index, find out how it can be used as a visual analytical tool and with other technical indicators.
The relative strength index (RSI) is a popular indicator to evaluate if a stock is overbought or oversold. However, its values range from zero to 100 and must be evaluated in a separate window, making its correlation with price and trends more difficult than other indicators that are overlaid directly on price charts such as the Bollinger bands.
In this article I present a way of calculating RSI bands, which trace RSI overbought/oversold levels directly over price data, making this indicator more intuitive to use and opening up new analysis and signaling possibilities.
CALCULATING RSI BANDS
RSI bands are calculated by answering the question, “What price should the stock have to reach today to be considered overbought/oversold, given yesterday’s RSI?”
Each band corresponds to a certain level. Typically, 70 and 30 have been used as overbought/oversold levels, so we would draw one band for 70 and one band for 30. Because calculations are based on the original RSI calculations, bands can be drawn for any level and any period of time. If given extreme values (such as a very short period), however, the bands get very volatile. The addition of an optional clamping algorithm solves that problem.
The code used to calculate RSI bands can be found in the sidebar “AmiBroker code for calculating RSI bands.”
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