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app.py
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import json
import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
import plotly.graph_objs as go
from datetime import date
import requests
import quandl
#quandl.ApiConfig.api_key = 'XXXXXXX'
start = '2017-01-01'
end = date.today()
df = quandl.get("BCHAIN/MKPRU",start_date= start)
df.columns = ['Price']
df_name = 'BTC'
#Functions
def get_stamp_price(market):
'''
get_stamp_price('ltcusd') ==> LTC: 55.66 USD, -1.35%
'''
r = requests.get(f'https://www.bitstamp.net/api/v2/ticker/{market}/')
x = r.json()
return f"{market[:3].upper()}: {x['last']} {market[3:].upper()}, \
{(((float(x['last']) / float(x['open'])) -1) * 100):.2f}%"
#layout for 2 main graphs
layout = go.Layout(title=df_name,
autosize=False,
#width=800,
#height=500,
margin=go.layout.Margin(l=45,r=10,b=50,t=70,pad=4),
legend=dict(orientation="h",y=-0.2))
app = dash.Dash()
app.title='Crypto Dashboard'
app.layout = html.Div([
dcc.Graph(id='main_ma_graph',className='big_graph'),
html.Div([
html.H4('SMA'),
dcc.Slider(id='slider_ma',className='sliders',
min=10,
max=200,
step=5,
marks={i: f'{i}' for i in range(10,210,10)},
value=30),
html.H4('EWMA'),
dcc.Slider(id='slider_ewma',className='sliders',
min=10,
max=200,
step=5,
marks={i: f'{i}' for i in range(10,210,10)},
value=45)
],id='slider_ma_div',className='slid_divs'),
dcc.Graph(id='bb_graph',className='big_graph'),
html.Div([
html.H4('Bollinger Bands'),
dcc.Slider(id='slider_bband',className='sliders',
min=5,
max=60,
step=1,
marks={i: f'{i}' for i in range(5,65,5)},
value=20)
],id='slider_bb_div',className='slid_divs'),
html.Div([
dcc.Graph(id='rsi_main',
relayoutData = {'xaxis.range[0]': start,
'xaxis.range[1]': end}),
dcc.Graph(id='rsi_graph',
relayoutData = {'xaxis.range[0]': start,
'xaxis.range[1]': end}),
],id='rsi_graphs_div'),
html.Div([
html.H4('RSI'),
dcc.Slider(id='slider_rsi',className='sliders',
min=5,
max=60,
step=1,
marks={i: f'{i}' for i in range(5,65,5)},
value=14)
],id='slider_rsi_div',className='slid_divs'),
html.Div([
html.Div(id='widget1',className='widgets'),
html.Div(id='widget2',className='widgets'),
html.Div(id='widget3',className='widgets'),
],id='widget_div'),
html.Button(id='submit_widget',
n_clicks=0,
children='Update Widgets'),
html.Div([dcc.Markdown(id='mark_stats')],
id='mark_div'),
html.Button(id='stats_submit',
n_clicks=0,
children='Update Stats'),
dcc.Interval(id='widget_interval',
interval=5 *60 *1000,# *1000 for seconds, *60 for minutes
n_intervals=0)
],id='moad')
app.css.append_css({'external_url': 'http://growpi.net/css/newstyle.css'})
# Main Graphs
@app.callback(Output('main_ma_graph','figure'),
[Input('slider_ma','value'),
Input('slider_ewma','value')])
def update_figure(ma,ewma):
df['MA'] = df['Price'].rolling(window=ma).mean()
df['EWMA'] = df['Price'].ewm(span=ewma).mean()
data = [go.Scatter(x=df.index,y=df['Price'],name=df_name),
go.Scatter(x=df.index,y=df['MA'],name=f'{ma} MA'),
go.Scatter(x=df.index,y=df['EWMA'],name=f'{ewma} EWMA')]
return {'data':data,'layout':layout}
@app.callback(Output('bb_graph','figure'),
[Input('slider_bband','value')])
def update_bands(bband):
df['BBand MA'] = df['Price'].rolling(window=bband).mean()
df['Upper'] = df['BBand MA'] + 2 * df['Price'].rolling(window=bband).std()
df['Lower'] = df['BBand MA'] - 2 * df['Price'].rolling(window=bband).std()
data = [go.Scatter(x=df.index,y=df['Price'],name=df_name),
go.Scatter(x=df.index,y=df['BBand MA'],name=f'{bband} MA(BB)'),
go.Scatter(x=df.index,y=df['Upper'],name='Upper BBand'),
go.Scatter(x=df.index,y=df['Lower'],name='Lower BBand')]
return {'data':data,'layout':layout}
@app.callback(Output('rsi_graph','figure'),
[Input('slider_rsi','value'),
Input('rsi_main', 'relayoutData')])
def update_rsi(rsi,m_relay):
df['Up']=df['Price'].diff().apply(lambda x:x if x>0 else 0)
df['Down']=df['Price'].diff().apply(lambda x:-x if x<0 else 0)
df['UpAvg']=df['Up'].rolling(window=rsi).mean()
df['DownAvg']=df['Down'].rolling(window=rsi).mean()
df['RSI']=100-(100/(1+df['UpAvg']/df['DownAvg']))
data = [go.Scatter(x=df.index,y=df['RSI'],name=f'{rsi} period RSI')]
if 'xaxis.range[0]' in m_relay:
layout = go.Layout(autosize=False,height=150,
margin=go.layout.Margin(l=45,r=10,b=50,t=10,pad=4),
xaxis=dict(
autorange=False,
range= [m_relay['xaxis.range[0]'], m_relay['xaxis.range[1]']],
))
else:
layout = go.Layout(autosize=False,height=150,
margin=go.layout.Margin(l=45,r=10,b=50,t=10,pad=4))
return {'data':data,'layout':layout}
@app.callback(Output('rsi_main','figure'),
[Input('rsi_graph', 'relayoutData')])
def update_rsmain(r_relay):
data = [go.Scatter(x=df.index,y=df['Price'],name=f'{df_name} RSI')]
if 'xaxis.range[0]' in r_relay:
layout = go.Layout(title= f'{df_name} RSI',
autosize=False,height=400,
margin=go.layout.Margin(l=45,r=10,b=23,t=70,pad=4),
xaxis=dict(
autorange=False,
range= [r_relay['xaxis.range[0]'], r_relay['xaxis.range[1]']],
zeroline=False,
showline=False,
ticks='',
showticklabels=False))
else:
layout = go.Layout(title= f'{df_name} RSI',
autosize=False,height=400,
margin=go.layout.Margin(l=45,r=10,b=23,t=70,pad=4),
xaxis=dict(
zeroline=False,
showline=False,
ticks='',
showticklabels=False))
return {'data':data,'layout':layout}
# Widgets
#stamp_options = [None, 'btcusd', 'btceur', 'eurusd', 'xrpusd', 'xrpeur',
# 'xrpbtc', 'ltcusd', 'ltceur', 'ltcbtc', 'ethusd', 'etheur', 'ethbtc',
# 'bchusd', 'bcheur', 'bchbtc']
@app.callback(Output('widget1','children'),
[Input('submit_widget','n_clicks'),
Input('widget_interval','n_intervals')])
def widg1(biba,bobo):
return get_stamp_price('btcusd')
@app.callback(Output('widget2','children'),
[Input('submit_widget','n_clicks'),
Input('widget_interval','n_intervals')])
def widg2(biba,bobo):
return get_stamp_price('ethusd')
@app.callback(Output('widget3','children'),
[Input('submit_widget','n_clicks'),
Input('widget_interval','n_intervals')])
def widg3(biba,bobo):
return get_stamp_price('ltcusd')
@app.callback(Output('mark_stats','children'),
[Input('stats_submit','n_clicks'),
Input('widget_interval','n_intervals')])
def total_crypto(merry,christmas):
r = requests.get('https://api.coinmarketcap.com/v2/global/')
data = r.json()["data"]
return f'''
Active Crypto\'s:\t{data["active_cryptocurrencies"]}\t\t\
Total MarketCap:\t$ {data["quotes"]["USD"]["total_market_cap"]/1000000000} billion
Active Markets:\t\t{data["active_markets"]}\t\t\
Total Volume 24h:\t$ {data["quotes"]["USD"]["total_volume_24h"]/1000000000} billion
Bitcoin Dominance:\t{data["bitcoin_percentage_of_market_cap"]}%
'''
if __name__ == '__main__':
app.run_server()