pip install python-binance

pip install plotly==4.14.3

pip install jupyter-dash

from calcuation import profit_loss
from chart import RealizedProfitLoss
from binance.client import Client
import pandas as pd

key = 'Your API Key'
secret = 'Yout Secert Key'

client = Client(key, secret)

pnl = profit_loss(market='BNB-USDT', client=client, showlog=True)

from datetime import datetime

dates_df = pd.DataFrame(index=[datetime(2020,1,1), datetime(2021,12,31)])
dates = dates_df.resample('d').first().index[::30]
profilio = []
for s in ['BTC-USDT', 'BNB-USDT', 'LINK-USDT', 'ADA-USDT', 'CAKE-USDT', 'UNI-USDT', 'ETH-USDT']:        
    for start_date, end_date in zip(dates[:], dates[1:]):        
        pnl = profit_loss(market=s, start_date=start_date.strftime("%Y-%m-%d"), end_date=end_date.strftime("%Y-%m-%d"), client=client)
        profilio.append({'date': end_date, 'symbol':s, 'pnl':pnl['total_profit(quote)']})    
    
profilio_df = pd.DataFrame(profilio)
profilio_df = profilio_df.rename({'symbol':'stock_id'}, axis='columns')    
RealizedProfitLoss(profilio_df).run_dash()