Need help to use indicators, how to obtain or convert quotes

[gabrielblaj]

//Python code********
import ccxt
import pandas as pd

afiseaza toate ROW

pd.set_option('display.max_rows',None)
import heikin_ashi as ha
from datetime import datetime
import plotly.graph_objects as go# collect the candlestick data from Binance
import schedule
import time
from stock_indicators import indicators
from stock_indicators import Quote

binance = ccxt.binance()
trading_pair = 'BTC/BUSD'

*****************************limit este numarul de lumanari

candles = binance.fetch_ohlcv(trading_pair, '1h',limit=500)
for candle in candles:
candle[0] = pd.to_datetime(candle[0],unit='ms')
df=pd.DataFrame(candles)
df.columns= ['date','open', 'high', 'low', 'close', 'volume']
quotes=df
psar=indicators.get_parabolic_sar(quotes, acceleration_step=0.02, max_acceleration_factor=0.2)
//end code************
//error*********************
No method matches given arguments for List`1.Add: (<class 'str'>)
//end errror******

[DaveSkender]

Tip

For a working example using price quotes from a pandas.DataFrame, see our Replit of the Williams Fractal indicator. If you're having general trouble getting setup, see our QuickStart guide.

See also:

• Help! Converting Pandas DataFrame to iterable Quotes #1165

[Rydo111]

Hi @gabrielblaj; I was getting the same error (TypeError: No method matches given arguments for List1.Add: (<class 'str'>)`).

You need to create a list of quotes. The process I'm following:

1. Using your favourite option, get a dataframe containing date, open, high, low, close, volume columns. All are float, except date, which is a datetime.
2. use the code:
   quotes_list = [ si.Quote(d, o, h, l, c, v) for d, o, h, l, c, v in zip(df['date'], df['open'], df['high'], df['low'], df['close'], df['volume'], strict=True) ]
   to get a list of Quotes
3. pass this list to the stock_indicators function...eg. indicators.get_zig_zag(quotes_list, EndType.CLOSE, 3)

I just have to work out how to convert the answer back to a df! Hope this helps.