How to display candle stick bars from binance futures in jupyter notebook

In order to download and display binance candlestick bars in jupyter notebook we will need the following packages:

pip install mplfinance
pip install python-binance
pip install plotly

Also you would need to get API keys from binance Binance API management .

We will download and display two candle stick charts for ETH futures, one using mplfinance library, and another using plotly.
We will use 1 minute ETHUSDT futures data.

from binance.client import Client

from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot
import cufflinks as cf

import pandas as pd
import datetime as dt
import matplotlib.pyplot as plt
%matplotlib inline
from dateutil import parser
import math
import os.path
import time
import plotly.graph_objects as go
from datetime import datetime
import mplfinance as mpf

binance_api_key = '<YOUR API KEY>'
binance_api_secret = '<YOUR API SECRET>'

binsizes = {"1m": 1, "5m": 5, "1h": 60, "1d": 1440}
batch_size = 750
binance = Client(api_key=binance_api_key, api_secret=binance_api_secret,)

def binanceklines(symbol='ETHUSDT',interval='1m',limit=500,since="1 day ago UTC"):
    klines = binance.futures_klines(symbol='ETHUSDT',interval={'1m':Client.KLINE_INTERVAL_1MINUTE,'5m':Client.KLINE_INTERVAL_5MINUTE}[interval],since=since,limit=limit)
    data = pd.DataFrame(klines, columns = ['ts', 'o', 'h', 'l', 'c', 'v', 'close_time', 'quote_av', 'trades', 'tb_base_av', 'tb_quote_av', 'ignore' ])
    data['ts'] = pd.to_datetime(data['ts'], unit='ms')
    return data

fig = go.Figure(data=[go.Candlestick(x=df.index,open=df['o'],high=df['h'],low=df['l'],close=df['c'])])

plt.rcParams["figure.figsize"] = (10,8)

This results in:

The advantage of plotly chart is that it’s more interactive.

In case your are interested to 10% binance promo code discount on binance trading fees, you can use the following code: WFH7DYED

Posted in crypto Tagged with: , ,