swing-trading-dashboard/dashboard.py

157 lines
5.3 KiB
Python

import dash_bootstrap_components as dbc
from dash import Dash, dcc, html, Input, Output
from dash_ag_grid import AgGrid
from dash_bootstrap_templates import load_figure_template
from datetime import datetime
from flask_caching import Cache
from pandas import DataFrame, Series
from typing import Callable, List, Dict
from plotting import CandlestickChart, figure_with_subplots
from daily_data import get_daily_data
from strategies import cumulative_rsi
from strategies import double_5s
from strategies import down_days_in_a_row
from strategies import end_of_month
from strategies import internal_bar_strength
from strategies import lower_lows
from strategies import short_term_lows
from strategies import trin
from strategies import trin_thrusts
from strategies import turnaround
from strategies import two_period_rsi
from strategies import vix_reversal_1
from strategies import vix_reversal_2
from strategies import vix_reversal_3
from strategies import vix_rsi
from stylesheets import grid_stylesheet, theme_stylesheet
app = Dash(__name__, external_stylesheets = [theme_stylesheet, grid_stylesheet])
app.title = 'Swing Trading Dashboard'
cache = Cache(app.server, config = {
'CACHE_TYPE': 'SimpleCache',
'CACHE_DEFAULT_TIMEOUT': 60 # Seconds.
})
load_figure_template('lux_dark')
SignalFunction = Callable[[DataFrame], Series]
signal_functions: List[Dict[str, SignalFunction]] = [
{'strategy': '2-Period RSI', 'function': two_period_rsi.signals},
{'strategy': 'Cumulative RSI', 'function': cumulative_rsi.signals},
{'strategy': 'Double 5\'s', 'function': double_5s.signals},
{'strategy': 'Down Days in a Row', 'function': down_days_in_a_row.signals},
{'strategy': 'End of Month', 'function': end_of_month.signals},
{'strategy': 'Internal Bar Strength', 'function': internal_bar_strength.signals},
{'strategy': 'Lower Lows', 'function': lower_lows.signals},
{'strategy': 'Short-Term Lows', 'function': short_term_lows.signals},
{'strategy': 'TRIN', 'function': trin.signals},
{'strategy': 'TRIN Thrusts', 'function': trin_thrusts.signals},
{'strategy': 'Turnaround', 'function': turnaround.signals},
{'strategy': 'VIX Reversal 1', 'function': vix_reversal_1.signals},
{'strategy': 'VIX Reversal 2', 'function': vix_reversal_2.signals},
{'strategy': 'VIX Reversal 3', 'function': vix_reversal_3.signals},
{'strategy': 'VIX RSI', 'function': vix_rsi.signals}
]
def calculate_signals(data: DataFrame, days: int = 12) -> DataFrame:
signal_data = []
for signal_info in signal_functions:
signal_dict = {'Strategy': signal_info['strategy']}
signals = signal_info['function'](data).tail(days)
dates = [datetime.strptime(str(date), '%Y-%m-%d').strftime('%m/%d') for date in data.tail(days)['Date']]
for date, signal in zip(dates, signals):
signal_dict[date] = signal
signal_data.append(signal_dict)
return DataFrame(signal_data)
def load_chart(data: DataFrame) -> dict:
chart_data = data.tail(180)
candlestick_chart = CandlestickChart(
x = chart_data['Date'],
opens = chart_data['Open'],
highs = chart_data['High'],
lows = chart_data['Low'],
closes = chart_data['Close']
)
return figure_with_subplots([[candlestick_chart]])
@cache.cached(timeout = 60, key_prefix = 'get_daily_data')
def get_cached_data():
return get_daily_data('SPY')
@cache.cached(timeout = 60, key_prefix = 'calculate_signals')
def get_cached_signals():
data = get_cached_data()
return calculate_signals(data)
@cache.cached(timeout = 60, key_prefix = 'load_chart')
def get_cached_chart():
data = get_cached_data()
return load_chart(data)
app.layout = dbc.Container(
[
dcc.Interval(
id = 'refresh-interval',
interval = 60 * 1000, # Milliseconds.
n_intervals = 0
),
dcc.Graph(
id = 'candlestick-chart',
config = {'displayModeBar': False},
figure = figure_with_subplots([[CandlestickChart(
x = Series(datetime.today()),
opens = Series(),
highs = Series(),
lows = Series(),
closes = Series(),
title = ''
)]])
),
html.Div(
AgGrid(
id = 'signal-table',
columnDefs = [{'field': 'Strategy', 'flex': 3}],
rowData = [],
defaultColDef = {'flex': 1, 'sortable': False, 'resizable': False},
dashGridOptions = {'domLayout': 'autoHeight'},
style = {'height': None}
),
className = 'dbc dbc-ag-grid'
)
],
style = {'maxWidth': '1200px', 'margin': '0 auto'},
fluid = True
)
@app.callback(
[
Output('candlestick-chart', 'figure'),
Output('signal-table', 'columnDefs'),
Output('signal-table', 'rowData')
],
Input('refresh-interval', 'n_intervals')
)
def update_dashboard(_):
signal_data = get_cached_signals()
chart_figure = get_cached_chart()
column_defs = [
{'field': col, 'flex': 3} if col == 'Strategy' else {'field': col, 'flex': 1, 'cellRenderer': 'SignalRenderer'}
for col in signal_data.columns
]
return chart_figure, column_defs, signal_data.to_dict(orient = 'records')
if __name__ == '__main__':
app.run_server(debug = False)