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