The Connors RSI (CRSI) is an indicator used in technical analysis which was developed by Larry Connors. The indicator itself is actually a composite of three individual components: The well-known Relative Strength Index (RSI), the Up/Down Length (market streak value), and the Rate of Change (ROC). All of these components work in combination to create a momentum oscillator that can be used to make short-term trading decisions.
As a result, the Connors RSI can be a valuable tool which can be used to construct intra-day strategies with a high probability of success. Trading signals are generated based on indicator readings that fall between the values of 0 and 100. In general terms, indicator readings below 5 suggest asset prices are oversold (a buy signal), while indicator readings above 95 suggest asset prices are overbought (a sell signal).
However, user-defined calculations can be used to alter the default parameters on most of the market’s popular trading platforms.
To start, trades might find it useful to make a visual comparison between the Connors RSI (shown above) and the traditional RSI developed by J. Welles Wilder in the 1970s (shown below):
At first glance, we can see that the CRSI appears to give signals that are faster-moving and more volatile. There is some truth to this assumption because the CRSI works based on inputs that focus on shorter-term price changes in the market. However, any suggestion that the signals sent by the CRSI indicator might be more erratic would be incorrect.
In fact, historical backtesting results show that CRSI trading signals have a higher rate of success in the market. Traditional RSI readings define an indicator mid-range of 30-70, where market activity below 30 implies oversold conditions (a buy signal) and market activity above 70 implies overbought conditions (a sell signal).
The CRSI enhances this approach by stretching the mid-range to broader extremes (with readings below 5 indicating oversold conditions and readings above 95 indicating overbought conditions). This deeper indicator range helps to reduce the number of false trading signals and, by extension, limit the possibility of losses when sequential positions are initiated over time.
Let’s take a closer look at how the CRSI indicator accomplishes this task of relative market outperformance when compared to its more traditional counterparts.
There are three main components that are used to calculate the values shown in the underlying Connors RSI readings:
Positive numbers are used to represent upward closing values and negative numbers are used to represent downward closing values. If the asset closes at the same price (no change) during consecutive chart intervals, the Up/Down Length is 0.
To complete this component input, the Connors RSI then takes a short-term RSI reading of the Up/Down streak value. Typically, traders will plot this is as a 2-period RSI (which is another short-term indicator reading).
Finally, the CRSI calculation finds the average value of all three indicator components:
CRSI (3, 2, 100) =
[ RSI (3 periods) + RSI Up/Down Length (2 periods) + ROC (100) ] / 3
The Connors RSI can be used when trading in any asset class (i.e. stocks, crypto, forex, etc.) However, historical backtesting results from the stock market show how readings in the indicator can predict future price movements:
When the value of the Connors RSI falls below 20, we can see that the average market returns over the next five days start to increase substantially. Stocks falling into the 0 bucket (with a CRSI indicator reading of 0 to 5) experienced average price gains of 2.15% during the following five trading sessions.
Inverse price behavior occurred at the upper end of the CRSI indicator range (conditions with indicator readings above 80). Stocks in this category experienced losses with declines in the 95 bucket averaging 0.94% during the next five trading sessions.
To get a visual sense of how these numbers are dispersed over the entire CRSI spectrum, consider the chart below:
Essentially, this tells us that readings in the CRSI indicator can be highly adept at spotting potential reversals in the market. Once price valuations reach relative extremes (with readings below 5 or above 95), trading signals are triggered which can be used to structure a short-term positioning stance in the market.
The Connors RSI can be used to find both bullish and bearish trading opportunities in the market. In our first example, chart signals indicate opportunities to sell Bitcoin at $8,080.90. Technical readings on the Connors RSI show overbought signals, which suggest prices are likely to move lower.
For the trade, stop loss levels can be set at $8,120.50, which is the prior high. At the same time, profit target must reach $7,860.50 in order to give our trade a favorable risk-reward ratio.
In our second chart example, we can see buy at $9,710.20 as a deeply oversold reading can be found in the Connors RSI. This allows us to set a stop loss at $9,600.50 with a profit target of $10,350.10 while maintaining a favorable risk-reward ratio.
To understand the base trading signals that are sent by the Connors RSI, we can draw strategic lessons from the use of the traditional RSI indicator. In practice, we can see that most of the same rules tend to apply as the basic indications present in “overbought” and “oversold” trading activity remain present.
However, there are differences in the number of signals that are sent and the strength (or intensity) of the readings that are generated by the indicator. The central difference lies in the “overbought” and “oversold parameters themselves, which are extended to more extreme levels.
Ultimately, this means the CRSI indicator will send fewer trading signals when compared to the traditional RSI indicator. But these signals will also have a higher probability for accuracy in their respective predictive abilities.
In the chart shown above, we have outlined a series of sell signals generated by the Connors RSI. On three separate occasions, upward price rallies in the value of the asset cause the CRSI reading to move above the 95 level. This suggests investors have become too optimistic and that markets are much more likely to begin reversing to the downside.
In each of these cases, the asset hit a swing high and then started to fall in line with the projections made by the CRSI. We can also see that downside follow-through was most substantial in the first and third examples. Conversely, follow-through in the second example was somewhat limited.
As a result, it is clear that traders should be relatively aggressive when moving their stop losses when using the CRSI indicator strategy. This shouldn’t be surprising, given the short-term nature of its calculations. As a general rule, traders should open positions with a fairly tight stop loss parameter (30-60 pips, depending on historical support/resistance levels present on your price chart). Traders can then move their stop losses to the “break-even” point once the position is showing gains of at least 30 pips.
In cases where there is extended follow-through (i.e. bearish CRSI trading example numbers one and three), this approach will likely result in substantial profits on the position. Conversely, trading examples with limited price follow-through (i.e. trading example number two) will likely result in the position being stopped out at the break-even point (no gains / no losses). On balance, this shows that the CRSI offers highly accurate sell signals with limited potential for losses.
On the other side, we can see the CRSI generates a buy signal as the indicator falls below the lower threshold level. As the CRSI reading drops below 5, investors have likely become too pessimistic on the prospects for the asset and markets are likely ready for an upside reversal in prices.
Here, we can see that prices ultimately move in the direction projected by the CRSI (upward). Traders could have soon moves stop losses to the break-even point and continued to carry the trade until the CRSI sent its next trading signal. Eventually, this occurred as valuations forced a breach in the upper CRSI parameter (above the 95 level). This alerts traders to overbought conditions and suggests it is a good time to close long positions (as markets are likely preparing for a reversal). Using this strategy, traders could have captured significant gains while experiencing very little drawdown in the process.