mtf dips/tops finder template

from binance.client import Client
import numpy as np
import matplotlib.pyplot as plt


class Trader:
    def __init__(self, file):
        self.connect(file)

    def connect(self, file):
        lines = [line.rstrip('\n') for line in open(file)]
        self.key = lines[0]
        self.secret = lines[1]
        self.client = Client(self.key, self.secret)


class TechnicalAnalyzer:
    def __init__(self, client):
        self.client = client

    def get_historical_data(self, symbol, interval):
        klines = self.client.get_historical_klines(symbol, interval, '1 year ago')
        close_prices = [float(entry[4]) for entry in klines]
        return close_prices

    def fit_line(self, data):
        y = np.array(data)
        x = np.arange(len(y))
        z = np.polyfit(x, y, 1)
        p = np.poly1d(z)
        return p(x)

    def identify_dip(self, symbol):
        close_prices = self.get_historical_data(symbol, '1d')
        fit_line = self.fit_line(close_prices)

        if close_prices[-1] < fit_line[-1] and fit_line[0] <= fit_line[-1]:
            print(f'{symbol}: Dip found on daily timeframe')
            return True

        return False

    def identify_top(self, symbol):
        close_prices = self.get_historical_data(symbol, '1d')
        fit_line = self.fit_line(close_prices)

        if close_prices[-1] > fit_line[-1] and fit_line[0] >= fit_line[-1]:
            print(f'{symbol}: Top found on daily timeframe')
            return True

        return False


filename = 'credentials.txt'
trader = Trader(filename)
analyzer = TechnicalAnalyzer(trader.client)

trading_pairs = ['BTCBUSD', 'BNBBUSD', 'DOGEBUSD', 'AVAXBUSD', 'ADABUSD', 'SOLBUSD']

for pair in trading_pairs:
    if analyzer.identify_dip(pair):
        if analyzer.identify_dip(pair):
            print(f'{pair}: Dip confirmed on 4h timeframe')

    elif analyzer.identify_top(pair):
        if analyzer.identify_top(pair):
            print(f'{pair}: Top confirmed on 4h timeframe')