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RSI values not as expected

I am comparing the RSI values that I am getting with quantconnect and the RSI values that tradingview is giving and they are not the same. I have been testing and trying to change things to get the values to line up but I can't seem to figure out what is going on.

Is it something to do with the daily time frame and the data normalization modes? Is it from the moving average type while setting the RSI? Is it from the sources not being the close? I have no idea.

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Mason Jackson

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Accepted Answer

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Mike Lin

692 ,

Hi Mason,

I'm also learning about indicators and was confused here, so I took a closer look. There are a few differences that I see here:

Your chart will be one day off from TradingView because you plot at the close of the trading bar which is midnight the day after trading.
Close values are different between TradingView (GBPUSD Oanda) and the data from QuantConnect. This is probably expected as QuantConnect may be sourcing their quotes from a different exchange.
QuantConnect data includes 6 trading days per week while TradingView only includes 5. Not sure which is more correct.
There seem to be multiple approaches for calculating RSI which come up with different results. TradingView's formula for RSI requires a minimum of 15 days of data to calculate the 14-day RSI, but adding more history changes the current figure. Calculating RSI in QuantConnect using a manual indicator with the TradingView close values for 49 periods is getting pretty close to the value in the TradingView UI (42.97094 in TradingView vs. 42.957267 in QuantConnect). We probably just have to add more historical values to get the same figure.

I believe that QuantConnect uses MovingAverageType.Wilders by default which should match TradingView.

rsi = RelativeStrengthIndex(14)
rsi.Update(datetime(2022, 8, 29, 20, 0), 1.17056)
rsi.Update(datetime(2022, 8, 30, 20, 0), 1.16541)
rsi.Update(datetime(2022, 8, 31, 20, 0), 1.16212)
rsi.Update(datetime(2022, 9, 1, 20, 0), 1.15436)
rsi.Update(datetime(2022, 9, 2, 20, 0), 1.15118)
rsi.Update(datetime(2022, 9, 5, 20, 0), 1.152)
rsi.Update(datetime(2022, 9, 6, 20, 0), 1.15192)
rsi.Update(datetime(2022, 9, 7, 20, 0), 1.15374)
rsi.Update(datetime(2022, 9, 8, 20, 0), 1.1502)
rsi.Update(datetime(2022, 9, 9, 20, 0), 1.15911)
rsi.Update(datetime(2022, 9, 12, 20, 0), 1.16826)
rsi.Update(datetime(2022, 9, 13, 20, 0), 1.14933)
rsi.Update(datetime(2022, 9, 14, 20, 0), 1.15398)
rsi.Update(datetime(2022, 9, 15, 20, 0), 1.1469)
rsi.Update(datetime(2022, 9, 16, 20, 0), 1.14196)
rsi.Update(datetime(2022, 9, 19, 20, 0), 1.14339)
rsi.Update(datetime(2022, 9, 20, 20, 0), 1.13822)
rsi.Update(datetime(2022, 9, 21, 20, 0), 1.12678)
rsi.Update(datetime(2022, 9, 22, 20, 0), 1.12568)
rsi.Update(datetime(2022, 9, 23, 20, 0), 1.08484)
rsi.Update(datetime(2022, 9, 26, 20, 0), 1.06856)
rsi.Update(datetime(2022, 9, 27, 20, 0), 1.07339)
rsi.Update(datetime(2022, 9, 28, 20, 0), 1.08892)
rsi.Update(datetime(2022, 9, 29, 20, 0), 1.1118)
rsi.Update(datetime(2022, 9, 30, 20, 0), 1.11684)
rsi.Update(datetime(2022, 10, 3, 20, 0), 1.13209)
rsi.Update(datetime(2022, 10, 4, 20, 0), 1.14748)
rsi.Update(datetime(2022, 10, 5, 20, 0), 1.13285)
rsi.Update(datetime(2022, 10, 6, 20, 0), 1.11634)
rsi.Update(datetime(2022, 10, 7, 20, 0), 1.10956)
rsi.Update(datetime(2022, 10, 10, 20, 0), 1.10572)
rsi.Update(datetime(2022, 10, 11, 20, 0), 1.09714)
rsi.Update(datetime(2022, 10, 12, 20, 0), 1.1099)
rsi.Update(datetime(2022, 10, 13, 20, 0), 1.13338)
rsi.Update(datetime(2022, 10, 14, 20, 0), 1.11798)
rsi.Update(datetime(2022, 10, 17, 20, 0), 1.13634)
rsi.Update(datetime(2022, 10, 18, 20, 0), 1.13182)
rsi.Update(datetime(2022, 10, 19, 20, 0), 1.12174)
rsi.Update(datetime(2022, 10, 20, 20, 0), 1.12322)
rsi.Update(datetime(2022, 10, 21, 20, 0), 1.12972)
rsi.Update(datetime(2022, 10, 24, 20, 0), 1.12792)
rsi.Update(datetime(2022, 10, 25, 20, 0), 1.14746)
rsi.Update(datetime(2022, 10, 26, 20, 0), 1.16306)
rsi.Update(datetime(2022, 10, 27, 20, 0), 1.15654)
rsi.Update(datetime(2022, 10, 28, 20, 0), 1.16135)
rsi.Update(datetime(2022, 10, 31, 20, 0), 1.14672)
rsi.Update(datetime(2022, 11, 1, 20, 0), 1.14814)
rsi.Update(datetime(2022, 11, 2, 20, 0), 1.13896)
rsi.Update(datetime(2022, 11, 3, 20, 0), 1.11578)
rsi.IsReady, rsi.Current.Value

Mason Jackson

259 ,

Thank you for your response, I couldn't get it to work quite like I wanted in quant connect and ended up coding my strategy in tradingview. Ended up being a very flat strategy. Still weird that I couldn't get it to work in quant connect though

Louis Szeto

STAFF ,

Hi Mason and Mike

We had cross checked our indicator values with 3rd party sources and they were aligned if correctly applied. Please refer to this doc for some insights. If you need further assistance, please also attach images/numbers showing the descrepancy, so that we have sufficient information for debugging.

Best
Louis

David Eldringhoff

9.8k ,

Yeah if you can post up some code that may help. I had this same issue when I first started running RSI values. However, it wasn't quant connect, it was my code. Once I changed things the values are nearly perfect to tradingview on multiple time frames

Mason Jackson INVESTOR

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