diff --git a/frontend/pages/config/macd_bb_v1/app.py b/frontend/pages/config/macd_bb_v1/app.py index 75383e5..26fa8a5 100644 --- a/frontend/pages/config/macd_bb_v1/app.py +++ b/frontend/pages/config/macd_bb_v1/app.py @@ -1,23 +1,18 @@ import streamlit as st -import pandas as pd -import plotly.graph_objects as go -import yaml from plotly.subplots import make_subplots -from CONFIG import BACKEND_API_HOST, BACKEND_API_PORT -from backend.services.backend_api_client import BackendAPIClient from frontend.components.backtesting import backtesting_section from frontend.components.config_loader import get_default_config_loader from frontend.components.save_config import render_save_config from frontend.pages.config.macd_bb_v1.user_inputs import user_inputs -from frontend.pages.config.utils import get_candles, get_max_records +from frontend.pages.config.utils import get_candles from frontend.st_utils import initialize_st_page, get_backend_api_client from frontend.visualization import theme from frontend.visualization.backtesting import create_backtesting_figure from frontend.visualization.backtesting_metrics import render_backtesting_metrics, render_accuracy_metrics, \ render_close_types from frontend.visualization.candles import get_candlestick_trace -from frontend.visualization.indicators import get_bbands_traces, get_volume_trace, get_macd_traces +from frontend.visualization.indicators import get_bbands_traces, get_macd_traces from frontend.visualization.signals import get_macdbb_v1_signal_traces from frontend.visualization.utils import add_traces_to_fig @@ -32,7 +27,7 @@ st.session_state["default_config"].update(inputs) st.write("### Visualizing MACD Bollinger Trading Signals") -days_to_visualize = st.number_input("Days to Visualize", min_value=1, max_value=365, value=3) +days_to_visualize = st.number_input("Days to Visualize", min_value=1, max_value=365, value=30) # Load candle data candles = get_candles(connector_name=inputs["candles_connector"], trading_pair=inputs["candles_trading_pair"], interval=inputs["interval"], days=days_to_visualize)