RSI parameters (Time Frame)

[He1nr1ch]

I use TradingView, but I have been calculating 10 day RSI (which is the standard) using YahooFinance.

I find that my RSI calculations differ from TradingView, so I have decided to get the data from TradingView via your API.

from tradingview_ta import TA_Handler, Interval, Exchange

tesla = TA_Handler(
    symbol="TSLA",
    screener="america",
    exchange="NASDAQ",
    interval=Interval.INTERVAL_1_DAY,
    # proxies={'http': 'http://example.com:8080'} # Uncomment to enable proxy (replace the URL).
)
print(tesla.get_analysis().indicators["RSI"])

this returns 66.32.

When I go to TradingView, with RSI set to Timeframe 1 DAY and RSI Time Frame to 10,

the resultant RSI is 73.92

using my Gorilla Yahoo RSI method, the RSI is 82.

import pandas_ta as ta
import datetime
import time
from pandas.tseries.holiday import USFederalHolidayCalendar
from pandas.tseries.offsets import CustomBusinessDay
US_BUSINESS_DAY = CustomBusinessDay(calendar=USFederalHolidayCalendar())
from yahoo_fin import stock_info as si

def load_historic_data(symbol):
    today = datetime.date.today()
    today_str = today.strftime("%Y-%m-%d")
    #  Get last 11 days of data
    start_date = today - (11 * US_BUSINESS_DAY)
    start_date_str = datetime.datetime.strftime(start_date, "%Y-%m-%d")
    try:
        # Download data from Yahoo Finance
        df = si.get_data(symbol, start_date=start_date_str, end_date=today_str, index_as_date=False)
        return df
    except:
        print('Error loading stock data for ' + symbol)
        return None

def calculate_technical_indicators(df):
    df['RSI'] = ta.rsi(df["adjclose"], length=10)
    return df

 def backtest_RSI(symbol):
    my_df = load_historic_data(symbol)
    try:
        calc_df = calculate_technical_indicators(my_df)
        print(calc_df)
        return calc_df.iat[10,8] #this is our RSI

    except:
        print("had problems with ", symbol)
        return

testee = 'TSLA'
print(backtest_RSI(testee))

Is there a way to adjust the RSI parameter?

[He1nr1ch]

actually, I found my issue. If I extend the data on my Gorilla Yahoo RSI data to 60 days, then the RSI numbers are within .01 of the correct value.