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August 3, 2020 01:12
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Start of the code
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import numpy as np | |
import pandas as pd | |
import yfinance as yf | |
import datetime as dt | |
import matplotlib.pyplot as plt | |
import mplfinance as mpf | |
from finta import TA | |
from pylab import rcParams | |
from yahoo_fin import stock_info as si | |
import talib | |
import ta | |
pd.set_option('display.max_columns', None) | |
# define stock and time range | |
stock = input('Enter a stock ticker: ') | |
num_of_years = input('Enter number of years: ') | |
num_of_years = float(num_of_years) | |
start = dt.date.today() - dt.timedelta(days = int(365.25*num_of_years)) | |
end = dt.datetime.now() | |
current_price = round(si.get_live_price(stock), 2) | |
df = yf.download(stock,start, end, interval='1d') | |
signals = ['Moving Average', 'Relative Strength Index', 'Bollinger Bands', 'MACD', 'Commodity Channel Index'] | |
change = [] | |
num_of_trades = [] | |
last_sell = [] | |
last_buy = [] | |
average_gain = [] | |
average_loss = [] | |
max_return = [] | |
max_loss = [] | |
gain_loss = [] | |
success_rate = [] |
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