async def quote_hk(code: int):
_ = Equity(code, False)
return {_.yahoo_code: f'{_}'}
import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
import plotly.graph_objects as go
from plotly.subplots import make_subplots
# import pandas as pd
# from datetime import datetime
from fat import Equity
# e1 = Equity('mrna', exchange='Nasdaq')
e1 = Equity(6645, exchange='TSE')
df = e1()
# df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv')
app = dash.Dash(__name__)
app.layout = html.Div([
dcc.Checklist(id='toggle-rangeslider',
options=[{
'label': 'Include Rangeslider',
'value': 'slider'
}],
value=['slider']),
dcc.Graph(id="graph"),
])
@app.callback(Output("graph", "figure"),
[Input("toggle-rangeslider", "value")])
async def optinum_nyse(code: str):
_ = Equity(code, exchange="NYSE")
return _.optinum()
async def quote_nyse(code: str):
_ = Equity(code, exchange="NYSE")
return {_.yahoo_code: f'{_}'}
async def optinum_tse(code: str):
__ = prefer_stock('TSE')
if code.lower() in __.keys():
_ = Equity(__[code.lower()], exchange='TSE')
return _.optinum()
async def quote_tse(code: str):
__ = prefer_stock('TSE')
if code.lower() in __.keys():
_ = Equity(__[code.lower()], exchange='TSE')
return {_.yahoo_code: f'{_}'}
async def optinum_hk(code: int):
_ = Equity(code, False)
return _.optinum()