feed data to calculate stochrsi

[CnsAd]

I use the below code to calculate the stochrsi:

klines = bot.client.get_klines(symbol=coin, interval=intv)
    array = np.array(klines, dtype='f8')
    df = pd.DataFrame(data=array[:, 0:6], columns=["date", "open", "high", "low", "close", "volume"])
    fastd, fastk = ti.stochrsi(np.array(df['close'].values), 14)

But I receive an Error: ValueError: too many values to unpack (expected 2)
What's wrong?

[CnsAd]

I noticed that it calculates only ONE output as StochRSI. What if I want to have fastd and fastk as usual StochRSI like what we see in any exchanges or tradingview.com?

[codeplea]

Are you sure you want StochRSI? It sounds like you just want Stoch.

[CnsAd]

I used ti.stochrsi and I want Stoch RSI

[CnsAd]

[codeplea]

Ok, so Tulip Indicators implements StochRSI as originally described in Stocks & Commodities V. 11:05: Stochastic RSI And Dynamic Momentum Index by Tushar Chande and Stanley Kroll.

It sounds like what you want, is to apply Stoch to RSI, which is actually also pretty common. Currently TI won't do this, but it will likely be added in the near future. More info here: TulipCharts/tulipindicators#23

Anyway, I think you can run RSI and then run STOCH on the result to obtain what you're looking for.

[CnsAd]

TY