import requests
import pandas as pd
import plotly.graph_objects as go

historical = requests.get('https://ftx.com/api/markets/BTC-PERP/candles?resolution=3600&start_time=1609462800').json()
historical = pd.DataFrame(historical['result'])
historical.drop(['startTime'], axis = 1, inplace=True)
historical.head()
historical['time'] = pd.to_datetime(historical['time'], unit='ms')
historical.set_index('time', inplace=True)
historical['20 SMA'] = historical.close.rolling(20).mean()
historical.tail()

fig = go.Figure(data=[go.Candlestick(x = historical.index,
                                    open = historical['open'],
                                    high = historical['high'],
                                    low = historical['low'],
                                    close = historical['close'],
                                    ),
                     go.Scatter(x=historical.index, y=historical['20 SMA'], line=dict(color='purple', width=1))])


fig.show()

import plotly.graph_objects as go
from plotly.subplots import make_subplots
import pandas as pd

# data
df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv')

# Create figure with secondary y-axis
fig = make_subplots(specs=[[{"secondary_y": True}]])

# include candlestick with rangeselector
fig.add_trace(go.Candlestick(x=df['Date'],
                open=df['AAPL.Open'], high=df['AAPL.High'],
                low=df['AAPL.Low'], close=df['AAPL.Close']),
               secondary_y=True)

# include a go.Bar trace for volumes
fig.add_trace(go.Bar(x=df['Date'], y=df['AAPL.Volume']),
               secondary_y=False)

fig.layout.yaxis2.showgrid=False
fig.show()

import plotly.graph_objects as go
from plotly.subplots import make_subplots
import pandas as pd

# data
df = pd.read_csv('https://ftx.com/api/markets/BTC-PERP/candles?resolution=3600&start_time=1609462800')

# Create figure with secondary y-axis
fig = make_subplots(specs=[[{"secondary_y": True}]])

# include candlestick with rangeselector
fig.add_trace(go.Candlestick(x=df['startTime'],
                open=df['open'], high=df['high'],
                low=df['low'], close=df['close']),
               secondary_y=True)

# include a go.Bar trace for volumes
fig.add_trace(go.Bar(x=df['startTime'], y=df['volume']),
               secondary_y=False)

fig.layout.yaxis2.showgrid=False
fig.show()