132710a9a7
- Updated `register_chart_callbacks` to include enhanced market statistics. - Implemented new data analysis callbacks in `dashboard/callbacks/data_analysis.py` for volume and price movement analysis. - Created `VolumeAnalyzer` and `PriceMovementAnalyzer` classes for detailed statistical calculations. - Integrated data analysis components into the market statistics layout, providing users with insights on volume trends and price movements. - Improved error handling and logging for data analysis operations. - Updated documentation to reflect the new features and usage guidelines.
236 lines
11 KiB
Python
236 lines
11 KiB
Python
"""
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Chart-related callbacks for the dashboard.
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"""
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from dash import Output, Input
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from datetime import datetime
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from utils.logger import get_logger
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from components.charts import (
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create_strategy_chart,
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create_chart_with_indicators,
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create_error_chart,
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get_market_statistics
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)
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from components.charts.config import get_all_example_strategies
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from database.connection import DatabaseManager
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from dash import html
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logger = get_logger("default_logger")
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def register_chart_callbacks(app):
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"""Register chart-related callbacks."""
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@app.callback(
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Output('price-chart', 'figure'),
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[Input('symbol-dropdown', 'value'),
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Input('timeframe-dropdown', 'value'),
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Input('overlay-indicators-checklist', 'value'),
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Input('subplot-indicators-checklist', 'value'),
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Input('strategy-dropdown', 'value'),
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Input('interval-component', 'n_intervals')]
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)
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def update_price_chart(symbol, timeframe, overlay_indicators, subplot_indicators, selected_strategy, n_intervals):
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"""Update the price chart with latest market data and selected indicators."""
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try:
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# If a strategy is selected, use strategy chart
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if selected_strategy and selected_strategy != 'basic':
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fig = create_strategy_chart(symbol, timeframe, selected_strategy)
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logger.debug(f"Chart callback: Created strategy chart for {symbol} ({timeframe}) with strategy: {selected_strategy}")
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else:
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# Create chart with dynamically selected indicators
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fig = create_chart_with_indicators(
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symbol=symbol,
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timeframe=timeframe,
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overlay_indicators=overlay_indicators or [],
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subplot_indicators=subplot_indicators or [],
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days_back=7
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)
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indicator_count = len(overlay_indicators or []) + len(subplot_indicators or [])
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logger.debug(f"Chart callback: Created dynamic chart for {symbol} ({timeframe}) with {indicator_count} indicators")
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return fig
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except Exception as e:
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logger.error(f"Error updating price chart: {e}")
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return create_error_chart(f"Error loading chart: {str(e)}")
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# Strategy selection callback - automatically load strategy indicators
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@app.callback(
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[Output('overlay-indicators-checklist', 'value'),
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Output('subplot-indicators-checklist', 'value')],
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[Input('strategy-dropdown', 'value')]
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)
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def update_indicators_from_strategy(selected_strategy):
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"""Update indicator selections when a strategy is chosen."""
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if not selected_strategy or selected_strategy == 'basic':
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return [], []
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try:
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# Get strategy configuration
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all_strategies = get_all_example_strategies()
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if selected_strategy in all_strategies:
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strategy_example = all_strategies[selected_strategy]
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config = strategy_example.config
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# Extract overlay and subplot indicators from strategy
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overlay_indicators = config.overlay_indicators or []
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# Extract subplot indicators from subplot configs
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subplot_indicators = []
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for subplot_config in config.subplot_configs or []:
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subplot_indicators.extend(subplot_config.indicators or [])
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logger.debug(f"Chart callback: Loaded strategy {selected_strategy}: {len(overlay_indicators)} overlays, {len(subplot_indicators)} subplots")
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return overlay_indicators, subplot_indicators
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else:
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logger.warning(f"Chart callback: Strategy {selected_strategy} not found")
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return [], []
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except Exception as e:
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logger.error(f"Chart callback: Error loading strategy indicators: {e}")
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return [], []
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# Enhanced market statistics callback with comprehensive analysis
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@app.callback(
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Output('market-stats', 'children'),
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[Input('symbol-dropdown', 'value'),
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Input('timeframe-dropdown', 'value'),
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Input('interval-component', 'n_intervals')]
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)
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def update_market_stats(symbol, timeframe, n_intervals):
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"""Update comprehensive market statistics with analysis."""
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try:
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# Import analysis classes
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from dashboard.components.data_analysis import VolumeAnalyzer, PriceMovementAnalyzer
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# Get basic market statistics
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basic_stats = get_market_statistics(symbol, timeframe)
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# Create analyzers for comprehensive analysis
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volume_analyzer = VolumeAnalyzer()
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price_analyzer = PriceMovementAnalyzer()
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# Get analysis for 7 days
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volume_analysis = volume_analyzer.get_volume_statistics(symbol, timeframe, 7)
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price_analysis = price_analyzer.get_price_movement_statistics(symbol, timeframe, 7)
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# Create enhanced statistics layout
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return html.Div([
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html.H3("📊 Enhanced Market Statistics"),
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# Basic Market Data
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html.Div([
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html.H4("💹 Current Market Data", style={'color': '#2c3e50', 'margin-bottom': '10px'}),
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html.Div([
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html.Div([
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html.Strong(f"{key}: "),
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html.Span(value, style={
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'color': '#27ae60' if '+' in str(value) else '#e74c3c' if '-' in str(value) else '#2c3e50',
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'font-weight': 'bold'
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})
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], style={'margin': '5px 0'}) for key, value in basic_stats.items()
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])
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], style={'border': '1px solid #bdc3c7', 'padding': '15px', 'margin': '10px 0', 'border-radius': '5px', 'background-color': '#f8f9fa'}),
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# Volume Analysis Section
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create_volume_analysis_section(volume_analysis),
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# Price Movement Analysis Section
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create_price_movement_section(price_analysis),
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# Additional Market Insights
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html.Div([
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html.H4("🔍 Market Insights", style={'color': '#2c3e50', 'margin-bottom': '10px'}),
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html.Div([
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html.P(f"📈 Analysis Period: 7 days | Timeframe: {timeframe}", style={'margin': '5px 0'}),
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html.P(f"🎯 Symbol: {symbol}", style={'margin': '5px 0'}),
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html.P("💡 Statistics update automatically with chart changes", style={'margin': '5px 0', 'font-style': 'italic'})
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])
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], style={'border': '1px solid #3498db', 'padding': '15px', 'margin': '10px 0', 'border-radius': '5px', 'background-color': '#ebf3fd'})
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])
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except Exception as e:
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logger.error(f"Chart callback: Error updating enhanced market stats: {e}")
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return html.Div([
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html.H3("Market Statistics"),
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html.P(f"Error loading statistics: {str(e)}", style={'color': '#e74c3c'})
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])
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def create_volume_analysis_section(volume_stats):
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"""Create volume analysis section for market statistics."""
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if not volume_stats or volume_stats.get('total_volume', 0) == 0:
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return html.Div([
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html.H4("📊 Volume Analysis", style={'color': '#2c3e50', 'margin-bottom': '10px'}),
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html.P("No volume data available for analysis", style={'color': '#e74c3c'})
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], style={'border': '1px solid #e74c3c', 'padding': '15px', 'margin': '10px 0', 'border-radius': '5px', 'background-color': '#fdeded'})
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return html.Div([
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html.H4("📊 Volume Analysis (7 days)", style={'color': '#2c3e50', 'margin-bottom': '10px'}),
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html.Div([
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html.Div([
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html.Strong("Total Volume: "),
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html.Span(f"{volume_stats.get('total_volume', 0):,.2f}", style={'color': '#27ae60'})
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], style={'margin': '5px 0'}),
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html.Div([
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html.Strong("Average Volume: "),
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html.Span(f"{volume_stats.get('average_volume', 0):,.2f}", style={'color': '#2c3e50'})
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], style={'margin': '5px 0'}),
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html.Div([
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html.Strong("Volume Trend: "),
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html.Span(
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volume_stats.get('volume_trend', 'Neutral'),
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style={'color': '#27ae60' if volume_stats.get('volume_trend') == 'Increasing' else '#e74c3c' if volume_stats.get('volume_trend') == 'Decreasing' else '#f39c12'}
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)
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], style={'margin': '5px 0'}),
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html.Div([
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html.Strong("High Volume Periods: "),
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html.Span(f"{volume_stats.get('high_volume_periods', 0)}", style={'color': '#2c3e50'})
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], style={'margin': '5px 0'})
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])
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], style={'border': '1px solid #27ae60', 'padding': '15px', 'margin': '10px 0', 'border-radius': '5px', 'background-color': '#eafaf1'})
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def create_price_movement_section(price_stats):
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"""Create price movement analysis section for market statistics."""
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if not price_stats or price_stats.get('total_returns') is None:
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return html.Div([
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html.H4("📈 Price Movement Analysis", style={'color': '#2c3e50', 'margin-bottom': '10px'}),
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html.P("No price movement data available for analysis", style={'color': '#e74c3c'})
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], style={'border': '1px solid #e74c3c', 'padding': '15px', 'margin': '10px 0', 'border-radius': '5px', 'background-color': '#fdeded'})
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return html.Div([
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html.H4("📈 Price Movement Analysis (7 days)", style={'color': '#2c3e50', 'margin-bottom': '10px'}),
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html.Div([
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html.Div([
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html.Strong("Total Return: "),
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html.Span(
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f"{price_stats.get('total_returns', 0):+.2f}%",
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style={'color': '#27ae60' if price_stats.get('total_returns', 0) >= 0 else '#e74c3c'}
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)
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], style={'margin': '5px 0'}),
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html.Div([
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html.Strong("Volatility: "),
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html.Span(f"{price_stats.get('volatility', 0):.2f}%", style={'color': '#2c3e50'})
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], style={'margin': '5px 0'}),
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html.Div([
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html.Strong("Bullish Periods: "),
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html.Span(f"{price_stats.get('bullish_periods', 0)}", style={'color': '#27ae60'})
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], style={'margin': '5px 0'}),
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html.Div([
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html.Strong("Bearish Periods: "),
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html.Span(f"{price_stats.get('bearish_periods', 0)}", style={'color': '#e74c3c'})
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], style={'margin': '5px 0'}),
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html.Div([
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html.Strong("Trend Strength: "),
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html.Span(
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price_stats.get('trend_strength', 'Neutral'),
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style={'color': '#27ae60' if 'Strong' in str(price_stats.get('trend_strength', '')) else '#f39c12'}
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)
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], style={'margin': '5px 0'})
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])
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], style={'border': '1px solid #3498db', 'padding': '15px', 'margin': '10px 0', 'border-radius': '5px', 'background-color': '#ebf3fd'})
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logger.info("Chart callback: Chart callbacks registered successfully") |