from iqfeed import get_historical_data, minutes from dash import Dash, dcc, html, Input, Output from datetime import date, datetime, timedelta from dotenv import load_dotenv from pandas import Series from plotting import CandlestickChart, figure_with_subplots load_dotenv() app = Dash(__name__) app.title = 'Chart' today = date.today() app.layout = html.Div([ dcc.Graph( id = 'candlestick-chart', config = {'displayModeBar': False}, # Initializing with an empty chart for default styling. figure = figure_with_subplots([[CandlestickChart( x = Series(today), opens = Series(), highs = Series(), lows = Series(), closes = Series(), title = '' )]]) ), # TODO: Move styling information to external file. html.Div([ html.Div([ dcc.Input(id = 'symbol', type = 'text', value = 'SPY', debounce = True) ], style={'display': 'inline-block', 'padding': '0 10px'}), html.Div([ dcc.DatePickerSingle( id = 'date-picker', date = today, min_date_allowed = date(2016, 1, 1), max_date_allowed = today, display_format = 'YYYY-MM-DD' ) ], style={'display': 'inline-block', 'padding': '0 10px'}), ], style={'margin': '0px 100px'}) ]) @app.callback( Output('candlestick-chart', 'figure'), [ Input('symbol', 'value'), Input('date-picker', 'date') ] ) def update_graph(symbol, selected_date): selected_datetime = datetime.strptime(selected_date, '%Y-%m-%d') data = get_historical_data( symbol = symbol, interval = minutes(5), start_date = selected_datetime, end_date = selected_datetime + timedelta(days = 1) ) candlestick_chart = CandlestickChart( x = data['Date'], opens = data['Open'], highs = data['High'], lows = data['Low'], closes = data['Close'], title = symbol ) return figure_with_subplots([[candlestick_chart]]) if __name__ == '__main__': app.run_server(debug = False)