The RSI-Slope Indicator in TradingView
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The RSI-Slope Indicator in TradingView
Coding the RSI-Slope Indicator Using Pine Script
In this article, we will apply a pure approach where we simply calculate the price slope. This should give us an uncorrelated technical indicator that can help us diversify our framework. This slope indicator is a good addition to a systematic trading framework.
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The Concept of the Slope
The steepness of two or more points is measured by the slope. A greater slope means a steeper line while a lower slope means a flatter line. We can measure the slope in geometry by using a simple formula. Basically, the slope can be found by measuring the ratio of the vertical change to the horizontal change.
In time series, when we are dealing with the slope of two successive points in time, the slope function shortens to just subtracting the last value by the one preceding it. In case we want the slope of a wider interval, say 5 points in time, we have to use the below formula:
For example, consider the following information on the EURUSD:
Current closing price = 1.2300
Closing price 5 periods ago = 1.2200
Time interval selected = 5 periods
We can find that the slope for this period is therefore the change in the closing prices which is 0.0100 divided by 5, giving us a slope of 0.002.
The graph above shows the slope represented by the moving line. Notice how it changes with directional movements on the blue line. Now, we can proceed to applying this concept on a rolling basis.
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Creating the RSI-Slope Indicator
Beginner and veteran traders are fully aware of the RSI, a famous contrarian indicator that seeks to give reversal signals around extremes. The idea of the RSI-Slope is to apply the formula of the RSI on the calculated slope. This can be done in Pine Script (TradingView) using the following steps:
Defining the version and naming the indicator.
// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © Sofien-Kaabar//@version=5
indicator("RSI-Slope")Defining the default lookback values.
lookback = input(defval = 21, title = 'Lookback')
lookback_rsi = input(defval = 21, title = 'RSI Lookback')Calculating the slope.
slope = (close - close[lookback]) / lookbackCalculating the RSI of the slope.
indicator = ta.rsi(slope, lookback_rsi)Plotting.
plot(indicator, color = indicator > 50? color.blue : color.red)
hline(70)
hline(30)
hline(50)
// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © Sofien-Kaabar//@version=5
indicator("RSI-Slope")lookback = input(defval = 21, title = 'Lookback')
lookback_rsi = input(defval = 21, title = 'RSI Lookback')slope = (close - close[lookback]) / lookback
indicator = ta.rsi(slope, lookback_rsi)plot(indicator, color = indicator > 50? color.blue : color.red)
hline(70)
hline(30)
hline(50)
Using the RSI-Slope is simple. One of the techniques can be as follows:
A long (buy) signal is generated whenever the RSI-Slope is around 30.
A short (sell) signal is generated whenever the RSI-Slope is around 70.
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Summary
To sum up, what I am trying to do is to simply contribute to the world of objective technical analysis which is promoting more transparent techniques and strategies that need to be back-tested before being implemented. This way, technical analysis will get rid of the bad reputation of being subjective and scientifically unfounded.
I recommend you always follow the the below steps whenever you come across a trading technique or strategy:
Have a critical mindset and get rid of any emotions.
Back-test it using real life simulation and conditions.
If you find potential, try optimizing it and running a forward test.
Always include transaction costs and any slippage simulation in your tests.
Always include risk management and position sizing in your tests.
Finally, even after making sure of the above, stay careful and monitor the strategy because market dynamics may shift and make the strategy unprofitable.