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How to get RSI in 30 minutes time frame?

Hi,

I am new here. I did search the forum for how to get RSI in 30 minutes time frame. Though similar question has been asked before, I don't see a satisfactory answer.

I clone the RSI sample and try to do :

prices_1m = data.history(context.stocks, 'price', 14*30, '1m')  
prices = prices_1m.resample('30T', closed='left')

for stock in context.stocks:  
    # Get the rsi of this stock.  
    rsi = talib.RSI(prices[stock], timeperiod=14)[-1]  
    rsis[stock] = rsi  
    print rsi  

...

the rsi result is "nan". Therefore no RSI value is plotted.

Please help!

Kevin

5 responses

Hi Kevin,

The problem here is that when you call .resample(), your DataFrame is filled in with a bunch of additional half-hour buckets which take place while the market is closed. Since there's no data for these times, those buckets have a value of nan. This causes the RSI calculation to result in nan as well.

To remedy this I would recommend using .dropna() to remove the nans from the resampled pricing data. So your line 32 would look like this:

rsi = talib.RSI(prices[stock].dropna(), timeperiod=14)[-1]

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After fixing that mentioned, next problem will be the record method alllowing only daily plots.
Am I rigth?

@Dave od,

You can rebuild this notebook to see intraday RSI based on resampled data.
https://www.quantopian.com/posts/plot-candlestick-charts-in-research#586c07b9ab60a32f0e00003c

That will really help. Thanks Vladimir.

Dave od - are you trying to build an algo to trade using 1 min RSI? I am, and am totally lost! Appreciate any help.