diff --git a/meta.md b/meta.md new file mode 100644 index 0000000..ce0a32f --- /dev/null +++ b/meta.md @@ -0,0 +1,5 @@ +--- +tags: +--- + +# notes diff --git a/quotation1/from_customer/backtest_dashboard.zip b/quotation1/from_customer/backtest_dashboard.zip new file mode 100644 index 0000000..c532448 --- /dev/null +++ b/quotation1/from_customer/backtest_dashboard.zip @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2b36da289aa531b8657f50eae77c9a977f804c5dbf6d610fd9dbe349c9526964 +size 1137179 diff --git a/quotation1/from_customer/backtest_dashboard/.idea/.gitignore b/quotation1/from_customer/backtest_dashboard/.idea/.gitignore new file mode 100644 index 0000000..eaf91e2 --- /dev/null +++ b/quotation1/from_customer/backtest_dashboard/.idea/.gitignore @@ -0,0 +1,3 @@ +# Default ignored files +/shelf/ +/workspace.xml diff --git a/quotation1/from_customer/backtest_dashboard/.idea/.name b/quotation1/from_customer/backtest_dashboard/.idea/.name new file mode 100644 index 0000000..aa15e3e --- /dev/null +++ b/quotation1/from_customer/backtest_dashboard/.idea/.name @@ -0,0 +1 @@ +app.py \ No newline at end of file diff --git a/quotation1/from_customer/backtest_dashboard/.idea/backtest_dashboard.iml b/quotation1/from_customer/backtest_dashboard/.idea/backtest_dashboard.iml new file mode 100644 index 0000000..ae6b25b --- /dev/null +++ b/quotation1/from_customer/backtest_dashboard/.idea/backtest_dashboard.iml @@ -0,0 +1,8 @@ + + + + + + + + \ No newline at end of file diff --git a/quotation1/from_customer/backtest_dashboard/.idea/inspectionProfiles/profiles_settings.xml b/quotation1/from_customer/backtest_dashboard/.idea/inspectionProfiles/profiles_settings.xml new file mode 100644 index 0000000..105ce2d --- /dev/null +++ b/quotation1/from_customer/backtest_dashboard/.idea/inspectionProfiles/profiles_settings.xml @@ -0,0 +1,6 @@ + + + + \ No newline at end of file diff --git a/quotation1/from_customer/backtest_dashboard/.idea/misc.xml b/quotation1/from_customer/backtest_dashboard/.idea/misc.xml new file mode 100644 index 0000000..d4e5f74 --- /dev/null +++ b/quotation1/from_customer/backtest_dashboard/.idea/misc.xml @@ -0,0 +1,7 @@ + + + + + + \ No newline at end of file diff --git a/quotation1/from_customer/backtest_dashboard/.idea/modules.xml b/quotation1/from_customer/backtest_dashboard/.idea/modules.xml new file mode 100644 index 0000000..f74e4cc --- /dev/null +++ b/quotation1/from_customer/backtest_dashboard/.idea/modules.xml @@ -0,0 +1,8 @@ + + + + + + + + \ No newline at end of file diff --git a/quotation1/from_customer/backtest_dashboard/__pycache__/app.cpython-310.pyc b/quotation1/from_customer/backtest_dashboard/__pycache__/app.cpython-310.pyc new file mode 100644 index 0000000..87f2652 Binary files /dev/null and b/quotation1/from_customer/backtest_dashboard/__pycache__/app.cpython-310.pyc differ diff --git a/quotation1/from_customer/backtest_dashboard/__pycache__/app.cpython-311.pyc b/quotation1/from_customer/backtest_dashboard/__pycache__/app.cpython-311.pyc new file mode 100644 index 0000000..a9e7ae9 Binary files /dev/null and b/quotation1/from_customer/backtest_dashboard/__pycache__/app.cpython-311.pyc differ diff --git a/quotation1/from_customer/backtest_dashboard/app.py b/quotation1/from_customer/backtest_dashboard/app.py new file mode 100644 index 0000000..5f58a62 --- /dev/null +++ b/quotation1/from_customer/backtest_dashboard/app.py @@ -0,0 +1,27 @@ +import dash +from dash import dcc, html +from utils.helpers import load_data +from layouts.main_layout import create_layout +from callbacks.backtest_callbacks import register_backtest_callbacks +from callbacks.strategy_callbacks import register_strategy_callbacks + +# Create the Dash app +app = dash.Dash(__name__, + prevent_initial_callbacks=True, + suppress_callback_exceptions=True) + +# Load data +try: + full_data = load_data() +except Exception as e: + raise Exception(f"Error: {str(e)}") + +# Set up the layout +app.layout = create_layout(full_data) + +# Register callbacks +register_backtest_callbacks(app) +register_strategy_callbacks(app) + +if __name__ == '__main__': + app.run_server(debug=True) \ No newline at end of file diff --git a/quotation1/from_customer/backtest_dashboard/callbacks/__init__.py b/quotation1/from_customer/backtest_dashboard/callbacks/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/quotation1/from_customer/backtest_dashboard/callbacks/__pycache__/__init__.cpython-310.pyc b/quotation1/from_customer/backtest_dashboard/callbacks/__pycache__/__init__.cpython-310.pyc new file mode 100644 index 0000000..d3c5a8d Binary files /dev/null and b/quotation1/from_customer/backtest_dashboard/callbacks/__pycache__/__init__.cpython-310.pyc differ diff --git a/quotation1/from_customer/backtest_dashboard/callbacks/__pycache__/__init__.cpython-311.pyc b/quotation1/from_customer/backtest_dashboard/callbacks/__pycache__/__init__.cpython-311.pyc new file mode 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a/quotation1/from_customer/backtest_dashboard/callbacks/__pycache__/remove_strategy_callback.cpython-310.pyc b/quotation1/from_customer/backtest_dashboard/callbacks/__pycache__/remove_strategy_callback.cpython-310.pyc new file mode 100644 index 0000000..aac9e80 Binary files /dev/null and b/quotation1/from_customer/backtest_dashboard/callbacks/__pycache__/remove_strategy_callback.cpython-310.pyc differ diff --git a/quotation1/from_customer/backtest_dashboard/callbacks/__pycache__/strategy_callbacks.cpython-310.pyc b/quotation1/from_customer/backtest_dashboard/callbacks/__pycache__/strategy_callbacks.cpython-310.pyc new file mode 100644 index 0000000..adcdfe4 Binary files /dev/null and b/quotation1/from_customer/backtest_dashboard/callbacks/__pycache__/strategy_callbacks.cpython-310.pyc differ diff --git a/quotation1/from_customer/backtest_dashboard/callbacks/__pycache__/strategy_callbacks.cpython-311.pyc b/quotation1/from_customer/backtest_dashboard/callbacks/__pycache__/strategy_callbacks.cpython-311.pyc new file mode 100644 index 0000000..11f8b9a Binary files /dev/null and b/quotation1/from_customer/backtest_dashboard/callbacks/__pycache__/strategy_callbacks.cpython-311.pyc differ diff --git a/quotation1/from_customer/backtest_dashboard/callbacks/backtest_callbacks.py b/quotation1/from_customer/backtest_dashboard/callbacks/backtest_callbacks.py new file mode 100644 index 0000000..d67f374 --- /dev/null +++ b/quotation1/from_customer/backtest_dashboard/callbacks/backtest_callbacks.py @@ -0,0 +1,178 @@ +from dash import Input, Output, State +from datetime import timedelta +import pandas as pd +import numpy as np +import plotly.graph_objects as go +from plotly.subplots import make_subplots +from models.backtest import backtest + +def register_backtest_callbacks(app): + @app.callback( + [Output('backtest-results', 'data'), + Output('combined-heatmap', 'figure'), + Output('forwardtest-results', 'data')], + Input('run-backtest', 'n_clicks'), + [State('bt-end-date', 'date'), + State('window-start', 'value'), + State('window-end', 'value'), + State('window-step', 'value'), + State('threshold-start', 'value'), + State('threshold-end', 'value'), + State('threshold-step', 'value'), + State('time-factor', 'value'), + State('commission', 'value'), + State('heatmap-title', 'value')], # Add new input for title + prevent_initial_call=True + ) + def run_backtest_and_create_heatmaps(n_clicks, bt_end_date, window_start, window_end, window_step, + threshold_start, threshold_end, threshold_step, time_factor, + commission, heatmap_title): + if n_clicks == 0: + return {}, {}, {} + + try: + # Get data from the global scope + from app import full_data + + # Parse inputs + bt_end_date = pd.to_datetime(bt_end_date) + ft_start_date = bt_end_date + timedelta(days=1) + commission = commission / 100 + + # Create window and threshold lists + window_list = list(range(window_start, window_end, window_step)) + threshold_steps = int((threshold_end - threshold_start) / threshold_step) + threshold_list = [round(threshold_start + i * threshold_step, 2) + for i in range(threshold_steps)] + + # Split data + bt_df = full_data[:bt_end_date] + ft_df = full_data[ft_start_date:] + + # Run backtests + bt_results = [backtest(bt_df, w, t, time_factor, commission, 'heatmap') + for w in window_list for t in threshold_list] + ft_results = [backtest(ft_df, w, t, time_factor, commission, 'heatmap') + for w in window_list for t in threshold_list] + + # Reverse threshold list for display + threshold_list.reverse() + + # Process results + bt_results_df = pd.DataFrame(bt_results) + ft_results_df = pd.DataFrame(ft_results) + + bt_data_table = bt_results_df.pivot(index='threshold', columns='window', values='sharpe') + ft_data_table = ft_results_df.pivot(index='threshold', columns='window', values='sharpe') + + # Sort tables + bt_data_table = bt_data_table.sort_index(ascending=False) + ft_data_table = ft_data_table.sort_index(ascending=False) + + # Use custom title or default if none provided + bt_title = f"{heatmap_title}_BT_sharpe" if heatmap_title else "Backtest Sharpe Ratio" + ft_title = f"{heatmap_title}_FT_sharpe" if heatmap_title else "Forward Test Sharpe Ratio" + + # Create heatmap figure + fig = make_subplots( + rows=1, cols=2, + subplot_titles=(bt_title, ft_title), + horizontal_spacing=0.17, + column_widths=[0.5, 0.5] + ) + + # Custom colorscale + custom_colorscale = [ + [0.0, '#FFFFBF'], # Light yellow + [0.2, '#E0F3F8'], # Pale blue + [0.4, '#ABD9E9'], # Very light blue + [0.6, '#74ADD1'], # Light blue + [0.8, '#4575B4'], # Blue + [1.0, '#313695'] # Deep blue + ] + + # Add backtest heatmap + fig.add_trace( + go.Heatmap( + z=bt_data_table.values, + x=bt_data_table.columns, + y=np.round(bt_data_table.index, 2), + text=np.round(bt_data_table.values, 2), + texttemplate='%{text}', + textfont={"size": 9}, + colorscale=custom_colorscale, + showscale=True, + colorbar=dict( + x=0.45, + thickness=15, + title="Sharpe Ratio", + titleside="right", + len=0.9 + ) + ), + row=1, col=1 + ) + + # Add forward test heatmap + fig.add_trace( + go.Heatmap( + z=ft_data_table.values, + x=ft_data_table.columns, + y=np.round(ft_data_table.index, 2), + text=np.round(ft_data_table.values, 2), + texttemplate='%{text}', + textfont={"size": 9}, + colorscale=custom_colorscale, + showscale=True, + colorbar=dict( + x=1.02, + thickness=15, + title="Sharpe Ratio", + titleside="right", + len=0.9 + ) + ), + row=1, col=2 + ) + + # Calculate dimensions + cell_height = 25 + cell_width = 15 + height = max(cell_height * len(threshold_list), 500) + width = max(cell_width * len(window_list) * 3.2, 1800) + + # Update layout + fig.update_layout( + height=height, + width=width, + showlegend=False, + title_x=0.5, + margin=dict(l=50, r=120, t=50, b=50), + paper_bgcolor='white', + plot_bgcolor='white', + font=dict(size=12) + ) + + # Update axes + for i in range(1, 3): + fig.update_xaxes( + title_text="Window", + tickmode='array', + tickvals=window_list, + ticktext=window_list, + tickangle=45, + row=1, col=i + ) + fig.update_yaxes( + title_text="Threshold", + tickmode='array', + tickvals=threshold_list, + ticktext=[f"{x:.2f}" for x in threshold_list], + row=1, col=i + ) + + return bt_results_df.to_dict('records'), fig, ft_results_df.to_dict('records') + + except Exception as e: + print(f"Error in heatmap generation: {str(e)}") + return {}, {}, {} \ No newline at end of file diff --git a/quotation1/from_customer/backtest_dashboard/callbacks/strategy/__init__.py b/quotation1/from_customer/backtest_dashboard/callbacks/strategy/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/quotation1/from_customer/backtest_dashboard/callbacks/strategy/__pycache__/__init__.cpython-310.pyc b/quotation1/from_customer/backtest_dashboard/callbacks/strategy/__pycache__/__init__.cpython-310.pyc new file mode 100644 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b/quotation1/from_customer/backtest_dashboard/callbacks/strategy/__pycache__/update_callback.cpython-310.pyc new file mode 100644 index 0000000..3820dcf Binary files /dev/null and b/quotation1/from_customer/backtest_dashboard/callbacks/strategy/__pycache__/update_callback.cpython-310.pyc differ diff --git a/quotation1/from_customer/backtest_dashboard/callbacks/strategy/components.py b/quotation1/from_customer/backtest_dashboard/callbacks/strategy/components.py new file mode 100644 index 0000000..5af82e9 --- /dev/null +++ b/quotation1/from_customer/backtest_dashboard/callbacks/strategy/components.py @@ -0,0 +1,369 @@ +import plotly.graph_objects as go +import pandas as pd +from dash import html +from layouts.components import create_metric_card + +def create_equity_figure(result_dict): + """ + Creates an equity curve figure comparing strategy performance against benchmark. + """ + fig = go.Figure() + + fig.add_trace(go.Scatter( + x=pd.to_datetime(result_dict['Dates']), + y=result_dict['Equity Curve'], + name='Strategy', + line=dict(color='#2C7FB8', width=2) + )) + + fig.add_trace(go.Scatter( + x=pd.to_datetime(result_dict['Dates']), + y=result_dict['Benchmark'], + name='Benchmark', + line=dict(color='#FC8D59', width=2) + )) + + fig.update_layout( + title={ + 'text': "Equity Curve", + 'y': 0.95, + 'x': 0.5, + 'xanchor': 'center', + 'yanchor': 'top', + 'font': dict(size=16) + }, + xaxis=dict( + type="date", + showgrid=True + ), + yaxis_title="Cumulative Return", + template='plotly_white', + height=500, + hovermode='x unified', + legend=dict( + yanchor="top", + y=0.99, + xanchor="left", + x=0.01, + bgcolor='rgba(255, 255, 255, 0.8)' + ), + margin=dict(l=50, r=50, t=50, b=50) + ) + + return fig + +def create_underwater_figure(result_dict): + """ + Creates an underwater (drawdown) plot. + """ + underwater = pd.Series(result_dict['Equity Curve']) - pd.Series(result_dict['Equity Curve']).cummax() + fig = go.Figure() + + fig.add_trace(go.Scatter( + x=pd.to_datetime(result_dict['Dates']), + y=underwater, + fill='tozeroy', + name='Drawdown', + line=dict(color='#2C7FB8', width=2), + fillcolor='rgba(44, 127, 184, 0.3)' + )) + + fig.update_layout( + title={ + 'text': "Drawdown", + 'y': 0.95, + 'x': 0.5, + 'xanchor': 'center', + 'yanchor': 'top', + 'font': dict(size=16) + }, + xaxis=dict( + type="date", + showgrid=True + ), + yaxis_title="Drawdown", + template='plotly_white', + height=300, + hovermode='x unified', + showlegend=False, + margin=dict(l=50, r=50, t=50, b=50) + ) + + return fig + +def create_yearly_returns_figure(result_dict): + """ + Creates a yearly returns comparison bar plot. + """ + try: + dates = pd.to_datetime(result_dict['Dates']) + daily_returns = result_dict.get('Returns', None) + + if daily_returns is None: + daily_returns = pd.Series(result_dict['Equity Curve'], index=dates).diff() + + daily_returns = pd.DataFrame({ + 'equity': daily_returns, + 'benchmark': pd.Series(result_dict['Benchmark'], index=dates).diff() + }) + + yearly_returns = daily_returns.resample('Y').sum() + + fig = go.Figure() + + fig.add_trace(go.Bar( + x=yearly_returns.index.year, + y=yearly_returns['equity'], + name='Strategy', + marker_color='#2C7FB8' + )) + + fig.add_trace(go.Bar( + x=yearly_returns.index.year, + y=yearly_returns['benchmark'], + name='Benchmark', + marker_color='#FC8D59' + )) + + fig.add_hline(y=0, line_dash="dash", line_color="red", opacity=0.5) + + fig.update_layout( + title={ + 'text': "Yearly Returns", + 'y': 0.95, + 'x': 0.5, + 'xanchor': 'center', + 'yanchor': 'top', + 'font': dict(size=16) + }, + yaxis_title="Returns", + barmode='group', + template='plotly_white', + showlegend=True, + legend=dict( + orientation="h", + y=1.1, + x=0.5, + xanchor="center", + yanchor="bottom" + ), + height=300, + margin=dict(l=50, r=50, t=80, b=50), + bargap=0.2, + bargroupgap=0.1 + ) + + fig.update_xaxes( + tickangle=0, + dtick=1, + tickfont=dict(size=12), + range=[yearly_returns.index.year.min() - 0.5, yearly_returns.index.year.max() + 0.5] + ) + + fig.update_yaxes( + title_font=dict(size=12), + tickfont=dict(size=12), + zeroline=True, + zerolinewidth=1, + zerolinecolor='red' + ) + + return fig + + except Exception as e: + print(f"Error in create_yearly_returns_plot: {str(e)}") + return go.Figure() + +def create_metric_cards(result_dict): + """ + Creates metric cards displaying strategy performance metrics. + """ + metrics_data = [ + ('Return (Ann.)', f"{result_dict['Return (Ann.) [%]']:.2f}%", '#e3f2fd'), + ('Sharpe Ratio', f"{result_dict['Sharpe Ratio']:.2f}", '#e3f2fd'), + ('Calmar Ratio', f"{result_dict['Calmar Ratio']:.2f}", '#e3f2fd'), + ('Max Drawdown', f"{result_dict['Max. Drawdown [%]']:.2f}%", '#e3f2fd'), + ('Beta', f"{result_dict['Beta']:.3f}", '#e3f2fd') + ] + + if 'Win Rate [%]' in result_dict: + trading_metrics = [ + ('Win Rate', f"{result_dict['Win Rate [%]']:.2f}%", '#f1f8e9'), + ('Avg Win', f"{result_dict['Avg Win [%]']:.2f}%", '#f1f8e9'), + ('Avg Loss', f"{result_dict['Avg Loss [%]']:.2f}%", '#f1f8e9'), + ('Number of Trades', f"{result_dict['Number of Trades']}", '#f1f8e9'), + ('Long Duration', f"{result_dict['Long Duration [%]']:.2f}%", '#fff3e0'), + ('Short Duration', f"{result_dict['Short Duration [%]']:.2f}%", '#fff3e0'), + ('Holding Time [%]', f"{result_dict['Turnover [%]']:.2f}%", '#fff3e0'), + ('Holding Time', f"{result_dict['Turnover Period']:.2f}", '#fff3e0') + ] + metrics_data.extend(trading_metrics) + + metrics_style = { + 'padding': '12px', + 'backgroundColor': 'white', + 'borderRadius': '8px', + 'boxShadow': '0 1px 3px rgba(0,0,0,0.1)', + 'textAlign': 'center', + 'minWidth': '150px', + 'transition': 'transform 0.2s ease-in-out' + } + + metric_cards = [] + for label, value, bg_color in metrics_data: + current_style = metrics_style.copy() + current_style['backgroundColor'] = bg_color + metric_cards.append( + html.Div([ + html.Div(label, style={ + 'fontSize': '13px', + 'color': '#555', + 'fontWeight': '500', + 'marginBottom': '4px', + 'whiteSpace': 'nowrap' + }), + html.Div(value, style={ + 'fontSize': '15px', + 'fontWeight': 'bold', + 'color': '#2c3e50' + }) + ], style=current_style) + ) + + return metric_cards + +def create_strategy_header(mode, current_selection, start_date, end_date, click_data=None): + """ + Creates the strategy header with parameters and period information. + """ + if mode == 'aggregative' and current_selection: + strategy_buttons = [ + html.Div([ + html.Span( + f"({s['window']}, {s['threshold']:.2f})", + style={'marginRight': '4px'} + ), + html.Button( + "×", + id={'type': 'remove-strategy', 'index': i}, + n_clicks=0, + style={ + 'border': 'none', + 'background': 'transparent', + 'color': '#666', + 'fontSize': '18px', + 'fontWeight': 'bold', + 'cursor': 'pointer', + 'padding': '2px 8px', + 'verticalAlign': 'middle', + 'lineHeight': '1', + 'transition': 'color 0.2s', + 'margin': '0 2px', + 'borderRadius': '50%', + } + ) + ], style={ + 'display': 'inline-flex', + 'alignItems': 'center', + 'margin': '2px 4px', + 'padding': '4px 8px', + 'backgroundColor': '#f0f0f0', + 'border': '1px solid #ddd', + 'borderRadius': '16px', + 'fontSize': '14px' + }) for i, s in enumerate(current_selection) + ] + + return html.Div([ + html.Div("Combined Strategy Details", + style={'fontSize': '18px', 'fontWeight': 'bold', 'marginBottom': '8px'}), + html.Div([ + html.Span("Parameters: ", style={'marginRight': '8px'}), + html.Div(strategy_buttons, style={'display': 'inline-block'}) + ], style={'marginBottom': '8px'}), + html.Div( + f"Period: {start_date.strftime('%Y-%m-%d')} to {end_date.strftime('%Y-%m-%d')}" + if start_date and end_date else "" + ) + ]) + + elif click_data: + window = click_data['points'][0]['x'] + threshold = click_data['points'][0]['y'] + return html.Div([ + html.Div("Strategy Details", + style={'fontSize': '18px', 'fontWeight': 'bold', 'marginBottom': '8px'}), + html.Div([ + html.Span("Parameters: ", style={'marginRight': '8px'}), + html.Span(f"({window}, {threshold:.2f})") + ], style={'marginBottom': '8px'}), + html.Div( + f"Period: {start_date.strftime('%Y-%m-%d')} to {end_date.strftime('%Y-%m-%d')}" + if start_date and end_date else "" + ) + ]) + + return html.Div("Click on heatmap to see strategy details") + +def create_error_message(error_type, start_date=None, end_date=None, error_message=None): + """ + Creates error message displays. + """ + if error_type == "no_trade": + return html.Div([ + html.Div("No Trade Data", + style={'fontSize': '18px', 'fontWeight': 'bold', 'marginBottom': '8px'}), + html.Div( + f"There is no trade from {start_date.strftime('%Y-%m-%d')} to {end_date.strftime('%Y-%m-%d')}" + ) + ]) + else: + return html.Div([ + html.Div("Error", + style={'fontSize': '18px', 'fontWeight': 'bold', 'marginBottom': '8px'}), + html.Div(f"An error occurred: {error_message}") + ]) + +def create_metrics_component(result_dict): + """Create metrics component with grid layout using create_metric_card.""" + if result_dict is None or not isinstance(result_dict, dict): + return html.Div() # Just return an empty div without styling + + try: + # Define metrics in a grid-friendly format + metrics_grid = [ + [ + ('Return (Ann.)', f"{result_dict.get('Return (Ann.) [%]', 0):.2f}%"), + ('Sharpe Ratio', f"{result_dict.get('Sharpe Ratio', 0):.2f}") + ], + [ + ('Calmar Ratio', f"{result_dict.get('Calmar Ratio', 0):.2f}"), + ('Max Drawdown', f"{result_dict.get('Max. Drawdown [%]', 0):.2f}%") + ], + [ + ('Beta', f"{result_dict.get('Beta', 0):.3f}"), + (None, None) + ] + ] + + # Create grid layout + grid_rows = [] + for row in metrics_grid: + row_cells = [] + for label, value in row: + if label is not None: + cell = create_metric_card(label, value, '#e3f2fd') + row_cells.append(cell) + + grid_rows.append(html.Div(row_cells, style={ + 'display': 'flex', + 'justifyContent': 'flex-start', + 'gap': '10px', + 'marginBottom': '10px' + })) + + return html.Div(grid_rows) # Remove the container styling + + except Exception as e: + print(f"Error in create_metrics_component: {str(e)}") + return html.Div() # Return empty div without styling \ No newline at end of file diff --git a/quotation1/from_customer/backtest_dashboard/callbacks/strategy/constants.py b/quotation1/from_customer/backtest_dashboard/callbacks/strategy/constants.py new file mode 100644 index 0000000..0bfcef3 --- /dev/null +++ b/quotation1/from_customer/backtest_dashboard/callbacks/strategy/constants.py @@ -0,0 +1,26 @@ +from dash import Output + +STRATEGY_OUTPUTS = [ + Output('strategy-metrics', 'children', allow_duplicate=True), + Output('equity-curve', 'figure', allow_duplicate=True), + Output('underwater-plot', 'figure', allow_duplicate=True), + Output('yearly-returns-plot', 'figure', allow_duplicate=True), + Output('strategy-header', 'children', allow_duplicate=True), + Output('date-range-picker', 'start_date', allow_duplicate=True), + Output('date-range-picker', 'end_date', allow_duplicate=True), + Output('selected-strategies', 'data', allow_duplicate=True), + Output('strategy-clear-selection', 'style', allow_duplicate=True), + Output('selected-count', 'children', allow_duplicate=True) +] + +def get_base_style(mode): + return { + 'marginLeft': '10px', + 'padding': '5px 10px', + 'backgroundColor': '#dc3545', + 'color': 'white', + 'border': 'none', + 'borderRadius': '4px', + 'cursor': 'pointer', + 'display': 'block' if mode == 'aggregative' else 'none' + } \ No newline at end of file diff --git a/quotation1/from_customer/backtest_dashboard/callbacks/strategy/helpers.py b/quotation1/from_customer/backtest_dashboard/callbacks/strategy/helpers.py new file mode 100644 index 0000000..f437647 --- /dev/null +++ b/quotation1/from_customer/backtest_dashboard/callbacks/strategy/helpers.py @@ -0,0 +1,97 @@ +# callbacks/strategy/helpers.py +from dash import html +import pandas as pd +from models.backtest import backtest, combine_strategies +from utils.helpers import get_default_date_range +from .constants import get_base_style +from .components import ( + create_equity_figure, + create_underwater_figure, + create_yearly_returns_figure, + create_metric_cards, + create_strategy_header, + create_error_message +) + +def get_default_outputs(): + """Return default outputs when no interaction has occurred.""" + return [], {}, {}, {}, html.Div("Click on heatmap to see strategy details"), None, None, [], {'display': 'none'}, '' + +def handle_mode_change(trigger_id, mode, current_selection): + """Handle mode changes and clear selection.""" + if trigger_id == 'strategy-clear-selection' or mode == 'single': + current_selection = [] + + selected_count = f'Selected strategies: {len(current_selection)}' if mode == 'aggregative' else '' + from app import full_data + default_start, default_end = get_default_date_range(full_data) + + return [], {}, {}, {}, html.Div("Click on heatmap to see strategy details"), \ + default_start, default_end, current_selection, get_base_style(mode), selected_count + +def get_date_range(trigger_id, start_date, end_date): + """Handle date range reset and processing.""" + if trigger_id == 'reset-date-range': + from app import full_data + start_date, end_date = get_default_date_range(full_data) + + if start_date and end_date: + start_date = pd.to_datetime(start_date) + end_date = pd.to_datetime(end_date) + + return start_date, end_date + +def get_filtered_data(start_date, end_date): + """Get data filtered by date range.""" + from app import full_data + if start_date and end_date: + return full_data[start_date:end_date] + return full_data + +def update_strategy_selection(mode, trigger_id, click_data, current_selection): + """Update strategy selection based on mode and user interaction.""" + if mode == 'aggregative' and trigger_id == 'combined-heatmap' and click_data: + new_strategy = { + 'window': click_data['points'][0]['x'], + 'threshold': click_data['points'][0]['y'] + } + if new_strategy not in current_selection: + return current_selection + [new_strategy] + elif mode == 'single': + return [] + return current_selection + +def get_backtest_results(mode, current_selection, data, click_data, time_factor, commission): + """Get backtest results based on mode and selected strategies.""" + if mode == 'single' or not current_selection: + window = click_data['points'][0]['x'] + threshold = click_data['points'][0]['y'] + return backtest(data, window, threshold, time_factor, commission, 'full_report') + return combine_strategies(data, current_selection, time_factor, commission) + +def create_output_components(result_dict, mode, current_selection, start_date, end_date, click_data): + """Create all visual components.""" + metric_cards = create_metric_cards(result_dict) + equity_fig = create_equity_figure(result_dict) + underwater_fig = create_underwater_figure(result_dict) + yearly_returns_fig = create_yearly_returns_figure(result_dict) + header_text = create_strategy_header(mode, current_selection, start_date, end_date, click_data) + + base_style = get_base_style(mode) + selected_count = f'Selected strategies: {len(current_selection)}' if mode == 'aggregative' else '' + + return (metric_cards, equity_fig, underwater_fig, yearly_returns_fig, + header_text, start_date, end_date, current_selection, + base_style, selected_count) + +def handle_error(error_type, start_date, end_date, current_selection, mode, error_message=None): + """Handle various error cases.""" + base_style = get_base_style(mode) + selected_count = f'Selected strategies: {len(current_selection)}' if mode == 'aggregative' else '' + + if error_type == "zero_division": + error_msg = create_error_message("no_trade", start_date, end_date) + else: + error_msg = create_error_message("error", error_message=error_message) + + return [], {}, {}, {}, error_msg, start_date, end_date, current_selection, base_style, selected_count \ No newline at end of file diff --git a/quotation1/from_customer/backtest_dashboard/callbacks/strategy/remove_callback.py b/quotation1/from_customer/backtest_dashboard/callbacks/strategy/remove_callback.py new file mode 100644 index 0000000..ccae6ab --- /dev/null +++ b/quotation1/from_customer/backtest_dashboard/callbacks/strategy/remove_callback.py @@ -0,0 +1,187 @@ +from dash import Input, Output, State, html, ALL, callback_context +import dash +from .constants import STRATEGY_OUTPUTS +from .helpers import ( + get_filtered_data, + get_backtest_results, + create_output_components +) +import pandas as pd +from .components import ( + create_equity_figure, + create_underwater_figure, + create_yearly_returns_figure, + create_metrics_component +) + +def register_remove_callback(app): + @app.callback( + [Output('selected-strategies', 'data'), + Output('selected-count', 'children'), + Output('equity-curve', 'figure'), + Output('underwater-plot', 'figure'), + Output('yearly-returns-plot', 'figure'), + Output('strategy-header', 'children'), + Output('strategy-metrics', 'children')], + [Input({'type': 'remove-strategy', 'index': ALL}, 'n_clicks')], + [State('selected-strategies', 'data'), + State('backtest-results', 'data'), + State('time-factor', 'value'), + State('commission', 'value'), + State('date-range-picker', 'start_date'), + State('date-range-picker', 'end_date'), + State('dashboard-mode', 'value')], + prevent_initial_call=True + ) + def remove_strategy(n_clicks_list, current_selection, backtest_results, + time_factor, commission, start_date, end_date, mode): + if not callback_context.triggered: + raise dash.exceptions.PreventUpdate + + trigger = callback_context.triggered[0] + if trigger['value'] is None or trigger['value'] == 0: + raise dash.exceptions.PreventUpdate + + button_id = eval(trigger['prop_id'].split('.')[0]) + index_to_remove = button_id['index'] + + # Remove the strategy at the specified index + updated_selection = [ + strategy for i, strategy in enumerate(current_selection) + if i != index_to_remove + ] + + # Convert string dates to datetime objects + start_date = pd.to_datetime(start_date).date() if start_date else None + end_date = pd.to_datetime(end_date).date() if end_date else None + + try: + # Get filtered data + data = get_filtered_data(start_date, end_date) + + # If there are still strategies left + if updated_selection: + # Recalculate backtest results for remaining strategies + result_dict = get_backtest_results( + mode='combined', + current_selection=updated_selection, + data=data, + click_data=None, + time_factor=float(time_factor), + commission=float(commission) / 100 + ) + + # Create header with improved styling + header = html.Div([ + html.Div("Combined Strategy Details", + style={'fontSize': '18px', 'fontWeight': 'bold', 'marginBottom': '8px'}), + html.Div([ + html.Span("Parameters: ", style={'marginRight': '8px'}), + html.Div([ + html.Div([ + html.Span(f"({s['window']}, {s['threshold']:.2f})", + style={'marginRight': '4px'}), + html.Button( + "×", + id={'type': 'remove-strategy', 'index': i}, + n_clicks=0, + style={ + 'border': 'none', + 'background': 'transparent', + 'color': '#666', + 'fontSize': '18px', + 'fontWeight': 'bold', + 'cursor': 'pointer', + 'padding': '2px 8px', + 'verticalAlign': 'middle', + 'lineHeight': '1', + 'transition': 'color 0.2s', + 'margin': '0 2px', + 'borderRadius': '50%' + } + ) + ], style={ + 'display': 'inline-flex', + 'alignItems': 'center', + 'margin': '2px 4px', + 'padding': '4px 8px', + 'backgroundColor': '#f0f0f0', + 'border': '1px solid #ddd', + 'borderRadius': '16px', + 'fontSize': '14px' + }) for i, s in enumerate(updated_selection) + ], style={'display': 'inline-block'}) + ], style={'marginBottom': '8px'}), + html.Div(f"Period: {start_date} to {end_date}") + ]) + + # Create figures + equity_fig = create_equity_figure(result_dict) + underwater_fig = create_underwater_figure(result_dict) + yearly_returns_fig = create_yearly_returns_figure(result_dict) + metrics = create_metrics_component(result_dict) + + else: + # If no strategies left, return empty state + empty_fig = { + 'data': [], + 'layout': { + 'title': { + 'text': 'No data to display', + 'y': 0.95, + 'x': 0.5, + 'xanchor': 'center', + 'yanchor': 'top', + 'font': dict(size=16) + }, + 'showlegend': False, + 'height': 300, + 'template': 'plotly_white', + 'xaxis': {'showgrid': False}, + 'yaxis': {'showgrid': False}, + 'margin': dict(l=50, r=50, t=50, b=50) + } + } + + header = html.Div([ + html.Div("Strategy Parameters", + style={'fontSize': '18px', 'fontWeight': 'bold', 'marginBottom': '8px'}), + html.Div("No strategies selected. Click on the heatmap to select strategies.") + ]) + + equity_fig = underwater_fig = yearly_returns_fig = empty_fig + metrics = create_metrics_component(None) # Will return empty white container + + return ( + updated_selection, + f"Selected strategies: {len(updated_selection)}", + equity_fig, + underwater_fig, + yearly_returns_fig, + header, + metrics + ) + + except Exception as e: + print(f"Error in remove_strategy callback: {str(e)}") + empty_fig = { + 'data': [], + 'layout': { + 'title': 'Error occurred', + 'showlegend': False + } + } + error_header = html.Div([ + html.Div("Error", + style={'fontSize': '18px', 'fontWeight': 'bold', 'marginBottom': '8px'}), + html.Div(f"An error occurred: {str(e)}") + ]) + return ( + updated_selection, + f"Selected strategies: {len(updated_selection)}", + empty_fig, + empty_fig, + empty_fig, + error_header, + create_metrics_component(None) # Will return empty white container + ) \ No newline at end of file diff --git a/quotation1/from_customer/backtest_dashboard/callbacks/strategy/update_callback.py b/quotation1/from_customer/backtest_dashboard/callbacks/strategy/update_callback.py new file mode 100644 index 0000000..003274e --- /dev/null +++ b/quotation1/from_customer/backtest_dashboard/callbacks/strategy/update_callback.py @@ -0,0 +1,64 @@ +# callbacks/strategy/update_callback.py +from dash import Input, Output, State +import dash +from .constants import STRATEGY_OUTPUTS +from .helpers import ( + get_default_outputs, + handle_mode_change, + get_date_range, + get_filtered_data, + update_strategy_selection, + get_backtest_results, + create_output_components, + handle_error +) + +def register_update_callback(app): + @app.callback( + STRATEGY_OUTPUTS, + [Input('combined-heatmap', 'clickData'), + Input('apply-date-range', 'n_clicks'), + Input('reset-date-range', 'n_clicks'), + Input('dashboard-mode', 'value'), + Input('strategy-clear-selection', 'n_clicks')], + [State('bt-end-date', 'date'), + State('time-factor', 'value'), + State('commission', 'value'), + State('date-range-picker', 'start_date'), + State('date-range-picker', 'end_date'), + State('selected-strategies', 'data')], + prevent_initial_call=True + ) + def update_all_outputs(click_data, apply_clicks, reset_clicks, mode, clear_clicks, + bt_end_date, time_factor, commission, + start_date, end_date, current_selection): + """Main callback function that updates all dashboard components.""" + # Get trigger context + ctx = dash.callback_context + if not ctx.triggered: + return get_default_outputs() + + trigger_id = ctx.triggered[0]['prop_id'].split('.')[0] + + # Handle mode changes and clear selection + if trigger_id in ['dashboard-mode', 'strategy-clear-selection']: + return handle_mode_change(trigger_id, mode, current_selection) + + try: + # Process date range and data + start_date, end_date = get_date_range(trigger_id, start_date, end_date) + data = get_filtered_data(start_date, end_date) + commission = commission / 100 + + # Update strategy selection and get results + current_selection = update_strategy_selection(mode, trigger_id, click_data, current_selection) + result_dict = get_backtest_results(mode, current_selection, data, click_data, time_factor, commission) + + # Create and return components + return create_output_components(result_dict, mode, current_selection, start_date, end_date, click_data) + + except ZeroDivisionError: + return handle_error("zero_division", start_date, end_date, current_selection, mode) + except Exception as e: + print(f"Error in strategy details update: {str(e)}") + return handle_error("general", start_date, end_date, current_selection, mode, str(e)) \ No newline at end of file diff --git a/quotation1/from_customer/backtest_dashboard/callbacks/strategy_callbacks.py b/quotation1/from_customer/backtest_dashboard/callbacks/strategy_callbacks.py new file mode 100644 index 0000000..01bc0d4 --- /dev/null +++ b/quotation1/from_customer/backtest_dashboard/callbacks/strategy_callbacks.py @@ -0,0 +1,7 @@ +# callbacks/strategy_callbacks.py +from .strategy.update_callback import register_update_callback +# from .strategy.remove_callback import register_remove_callback + +def register_strategy_callbacks(app): + register_update_callback(app) + # register_remove_callback(app) \ No newline at end of file diff --git a/quotation1/from_customer/backtest_dashboard/config.py b/quotation1/from_customer/backtest_dashboard/config.py new file mode 100644 index 0000000..53b105f --- /dev/null +++ b/quotation1/from_customer/backtest_dashboard/config.py @@ -0,0 +1,5 @@ +# Configuration settings +DEFAULT_TIME_FACTOR = 8760 +DEFAULT_COMMISSION = 0.06 +DEFAULT_WINDOW_RANGE = (100, 1000, 100) +DEFAULT_THRESHOLD_RANGE = (0.0, 2.0, 0.2) \ No newline at end of file diff --git a/quotation1/from_customer/backtest_dashboard/data/data.csv b/quotation1/from_customer/backtest_dashboard/data/data.csv new file mode 100644 index 0000000..22ed5bc --- /dev/null +++ b/quotation1/from_customer/backtest_dashboard/data/data.csv @@ -0,0 +1,42992 @@ +date,Open,High,Low,Close,Volume,active_addresses +2020-01-01 00:00:00,7189.43,7190.52,7170.15,7171.55,2449.049,31702.0 +2020-01-01 01:00:00,7171.43,7225.0,7171.1,7210.24,3865.038,27746.0 +2020-01-01 02:00:00,7210.38,7239.3,7206.46,7237.99,3228.365,33691.0 +2020-01-01 03:00:00,7237.41,7239.74,7215.0,7221.65,2513.307,22939.0 +2020-01-01 04:00:00,7221.8,7225.41,7211.22,7213.86,1176.666,21591.0 +2020-01-01 05:00:00,7213.86,7224.09,7213.86,7220.31,928.221,15678.0 +2020-01-01 06:00:00,7220.31,7230.0,7217.6,7221.0,1283.557,31977.0 +2020-01-01 07:00:00,7220.99,7227.2,7193.52,7205.26,2349.907,22286.0 +2020-01-01 08:00:00,7205.26,7206.29,7174.0,7195.24,3385.349,20910.0 +2020-01-01 09:00:00,7195.23,7204.99,7182.76,7184.45,1687.285,23237.0 +2020-01-01 10:00:00,7184.46,7205.0,7181.43,7197.25,1222.531,26825.0 +2020-01-01 11:00:00,7197.27,7234.57,7185.01,7192.65,3741.128,25625.0 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b/quotation1/from_customer/backtest_dashboard/layouts/components.py @@ -0,0 +1,38 @@ +from dash import html, dcc + +def create_metric_card(label, value, bg_color): + return html.Div([ + html.Div(label, style={ + 'fontSize': '13px', + 'color': '#555', + 'fontWeight': '500', + 'marginBottom': '4px', + 'whiteSpace': 'nowrap' + }), + html.Div(value, style={ + 'fontSize': '15px', + 'fontWeight': 'bold', + 'color': '#2c3e50' + }) + ], style={ + 'padding': '12px', + 'backgroundColor': bg_color, + 'borderRadius': '8px', + 'boxShadow': '0 1px 3px rgba(0,0,0,0.1)', + 'textAlign': 'center', + 'minWidth': '150px' + }) + +def date_range_picker(): + return html.Div([ + html.Label("Select Date Range:", style={'marginRight': '10px'}), + dcc.DatePickerRange( + id='date-range-picker', + start_date=None, + end_date=None + ), + html.Button('Apply', id='apply-date-range', n_clicks=0, + style={'marginLeft': '10px', 'backgroundColor': '#1f77b4', 'color': 'white', 'border': 'none', 'padding': '5px 15px', 'borderRadius': '4px'}), + html.Button('Reset', id='reset-date-range', n_clicks=0, + style={'marginLeft': '10px', 'backgroundColor': '#7f7f7f', 'color': 'white', 'border': 'none', 'padding': '5px 15px', 'borderRadius': '4px'}) + ], style={'marginBottom': '20px'}) \ No newline at end of file diff --git a/quotation1/from_customer/backtest_dashboard/layouts/main_layout.py b/quotation1/from_customer/backtest_dashboard/layouts/main_layout.py new file mode 100644 index 0000000..7c434b7 --- /dev/null +++ b/quotation1/from_customer/backtest_dashboard/layouts/main_layout.py @@ -0,0 +1,432 @@ +from dash import html, dcc +from layouts.components import create_metric_card + +def create_layout(full_data): + return html.Div([ + # Keep your existing stores + dcc.Store(id='backtest-results', storage_type='memory'), + dcc.Store(id='forwardtest-results', storage_type='memory'), + dcc.Store(id='current-params', storage_type='memory'), + # Add new store for selected strategies + dcc.Store(id='selected-strategies', data=[], storage_type='memory'), + + + html.Div([ + html.H1("Backtest Strategy Dashboard", + style={'textAlign': 'center', 'marginBottom': '20px'}), + + # Add the mode switch section here + html.Div([ + html.Div([ + html.Label("Dashboard Mode:", style={ + 'fontWeight': '500', + 'color': '#2c3e50', + 'marginRight': '10px', + 'fontSize': '16px' + }), + dcc.RadioItems( + id='dashboard-mode', + options=[ + {'label': 'Single Strategy Mode', 'value': 'single'}, + {'label': 'Aggregative Mode', 'value': 'aggregative'} + ], + value='single', + style={'display': 'inline-block'}, + inputStyle={'marginRight': '5px'}, + labelStyle={'marginRight': '20px', 'cursor': 'pointer'} + ), + # Changed ID for the second clear selection button + html.Button( + 'Clear Selection', + id='strategy-clear-selection', + style={ + 'marginLeft': '10px', + 'padding': '5px 10px', + 'backgroundColor': '#dc3545', + 'color': 'white', + 'border': 'none', + 'borderRadius': '4px', + 'cursor': 'pointer', + 'display': 'none' # Initially hidden + } + ), + html.Div( + id='selected-count', + style={ + 'marginLeft': '15px', + 'display': 'inline-block', + 'color': '#2c3e50' + } + ) + ], style={'display': 'flex', 'alignItems': 'center'}) + ], style={ + 'marginBottom': '20px', + 'padding': '15px', + 'backgroundColor': '#f8f9fa', + 'borderRadius': '8px', + 'border': '1px solid #e9ecef' + }), + + # Parameters input section + html.Div([ + # First row of inputs + # First row of inputs + html.Div([ + html.Div([ + html.Label("Backtest End Date:", style={ + 'fontWeight': '500', + 'color': '#2c3e50', + 'marginBottom': '5px', + 'display': 'block' + }), + dcc.DatePickerSingle( + id='bt-end-date', + min_date_allowed=full_data.index[0], + max_date_allowed=full_data.index[-1], + initial_visible_month=full_data.index[0], + date=full_data.index[len(full_data) // 2], + display_format='YYYY-MM-DD', + style={'width': '150px'} + ) + ], style={'marginRight': '20px', 'display': 'inline-block'}), + + html.Div([ + html.Label("Time Factor:", style={ + 'fontWeight': '500', + 'color': '#2c3e50', + 'marginBottom': '5px', + 'display': 'block' + }), + dcc.Input( + id='time-factor', + type='number', + value=8760, + style={ + 'width': '100px', + 'height': '36px', + 'padding': '8px', + 'borderRadius': '4px', + 'border': '1px solid #dcdfe6', + 'fontSize': '14px' + } + ) + ], style={'marginRight': '20px', 'display': 'inline-block'}), + + html.Div([ + html.Label("Commission (%):", style={ + 'fontWeight': '500', + 'color': '#2c3e50', + 'marginBottom': '5px', + 'display': 'block' + }), + dcc.Input( + id='commission', + type='number', + value=0.06, + step=0.01, + style={ + 'width': '80px', + 'height': '36px', + 'padding': '8px', + 'borderRadius': '4px', + 'border': '1px solid #dcdfe6', + 'fontSize': '14px' + } + ) + ], style={'marginRight': '20px', 'display': 'inline-block'}), + + html.Div([ + html.Label("Heatmap Title:", style={ + 'fontWeight': '500', + 'color': '#2c3e50', + 'marginBottom': '5px', + 'display': 'block' + }), + dcc.Input( + id='heatmap-title', + type='text', + placeholder='Enter heatmap title', + autoComplete='off', + style={ + 'width': '200px', + 'height': '36px', + 'padding': '8px', + 'borderRadius': '4px', + 'border': '1px solid #dcdfe6', + 'fontSize': '14px' + } + ) + ], style={'display': 'inline-block'}), + ], style={'marginBottom': '15px'}), + + # Second row of inputs + html.Div([ + html.Div([ + html.Label("Window Range:", style={ + 'fontWeight': '500', + 'color': '#2c3e50', + 'marginBottom': '5px', + 'display': 'block' + }), + html.Div([ + dcc.Input( + id='window-start', + type='number', + value=100, + placeholder='Start', + style={ + 'width': '80px', + 'height': '36px', + 'padding': '8px', + 'borderRadius': '4px', + 'border': '1px solid #dcdfe6', + 'fontSize': '14px', + 'marginRight': '10px' + } + ), + dcc.Input( + id='window-end', + type='number', + value=1000, + placeholder='End', + style={ + 'width': '80px', + 'height': '36px', + 'padding': '8px', + 'borderRadius': '4px', + 'border': '1px solid #dcdfe6', + 'fontSize': '14px', + 'marginRight': '10px' + } + ), + dcc.Input( + id='window-step', + type='number', + value=100, + placeholder='Step', + style={ + 'width': '80px', + 'height': '36px', + 'padding': '8px', + 'borderRadius': '4px', + 'border': '1px solid #dcdfe6', + 'fontSize': '14px' + } + ), + ], style={'display': 'flex'}) + ], style={'marginRight': '40px', 'display': 'inline-block'}), + + html.Div([ + html.Label("Threshold Range:", style={ + 'fontWeight': '500', + 'color': '#2c3e50', + 'marginBottom': '5px', + 'display': 'block' + }), + html.Div([ + dcc.Input( + id='threshold-start', + type='number', + value=0.0, + placeholder='Start', + style={ + 'width': '80px', + 'height': '36px', + 'padding': '8px', + 'borderRadius': '4px', + 'border': '1px solid #dcdfe6', + 'fontSize': '14px', + 'marginRight': '10px' + } + ), + dcc.Input( + id='threshold-end', + type='number', + value=2.0, + placeholder='End', + style={ + 'width': '80px', + 'height': '36px', + 'padding': '8px', + 'borderRadius': '4px', + 'border': '1px solid #dcdfe6', + 'fontSize': '14px', + 'marginRight': '10px' + } + ), + dcc.Input( + id='threshold-step', + type='number', + value=0.2, + placeholder='Step', + style={ + 'width': '80px', + 'height': '36px', + 'padding': '8px', + 'borderRadius': '4px', + 'border': '1px solid #dcdfe6', + 'fontSize': '14px' + } + ), + ], style={'display': 'flex'}) + ], style={'display': 'inline-block'}), + ], style={'marginBottom': '15px'}), + + html.Button( + 'Run Backtest', + id='run-backtest', + n_clicks=0, + style={ + 'width': '150px', + 'height': '36px', + 'marginTop': '10px', + 'backgroundColor': '#1a73e8', + 'color': 'white', + 'border': 'none', + 'borderRadius': '4px', + 'cursor': 'pointer', + 'fontSize': '14px', + 'fontWeight': '500' + } + ), + ], style={ + 'padding': '20px', + 'backgroundColor': 'white', + 'borderRadius': '8px', + 'marginBottom': '20px', + 'boxShadow': '0 1px 3px rgba(0,0,0,0.1)' + }), + + # Heatmap Container + html.Div([ + dcc.Graph(id='combined-heatmap'), + ], style={ + 'marginBottom': '30px', + 'backgroundColor': 'white', + 'borderRadius': '10px', + 'padding': '15px', + 'boxShadow': '0 2px 4px rgba(0,0,0,0.1)' + }), + + # Strategy details section + html.Div([ + html.H3("Strategy Details", + id='strategy-header', + style={'textAlign': 'center', 'marginTop': '30px', 'marginBottom': '20px'}), + + # Date range picker section + html.Div([ + html.Label("Select Date Range:", style={'fontWeight': 'bold', 'marginRight': '10px'}), + dcc.DatePickerRange( + id='date-range-picker', + min_date_allowed=full_data.index[0], + max_date_allowed=full_data.index[-1], + start_date=full_data.index[0], + end_date=full_data.index[-1], + display_format='YYYY-MM-DD' + ), + html.Button( + 'Apply', + id='apply-date-range', + style={ + 'marginLeft': '10px', + 'backgroundColor': '#2c3e50', + 'color': 'white', + 'border': 'none', + 'padding': '5px 15px', + 'borderRadius': '5px', + 'cursor': 'pointer' + } + ), + html.Button( + 'Reset', + id='reset-date-range', + style={ + 'marginLeft': '10px', + 'backgroundColor': '#7f7f7f', + 'color': 'white', + 'border': 'none', + 'padding': '5px 15px', + 'borderRadius': '5px', + 'cursor': 'pointer' + } + ) + ], style={ + 'marginBottom': '20px', + 'display': 'flex', + 'alignItems': 'center', + 'justifyContent': 'center' + }), + + # New flex container for metrics and plots + html.Div([ + # Left side - Metrics and Yearly Returns + html.Div([ + # Metrics + html.Div(id='strategy-metrics', style={ + 'display': 'grid', + 'gridTemplateColumns': 'repeat(2, 1fr)', + 'gap': '10px', # Reduced from 20px + 'padding': '10px', # Reduced from 20px + 'backgroundColor': '#f8f9fa', + 'borderRadius': '8px', # Reduced from 10px + 'boxShadow': '0 2px 4px rgba(0,0,0,0.1)', + 'height': 'fit-content', + 'marginBottom': '15px', # Reduced from 20px + 'fontSize': '12px' # Added to reduce text size + }), + + # Yearly Returns + html.Div([ + dcc.Graph(id='yearly-returns-plot') + ], style={ + 'backgroundColor': 'white', + 'borderRadius': '8px', # Reduced from 10px + 'padding': '10px', # Reduced from 15px + 'boxShadow': '0 2px 4px rgba(0,0,0,0.1)', + 'marginTop': '15px' # Reduced from 20px + }) + ], style={ + 'width': '30%', + 'marginRight': '15px' # Reduced from 20px + }), + + # Right side - Plots + html.Div([ + # Equity curve + html.Div([ + dcc.Graph(id='equity-curve') + ], style={ + 'marginBottom': '20px', + 'backgroundColor': 'white', + 'borderRadius': '10px', + 'padding': '15px', + 'boxShadow': '0 2px 4px rgba(0,0,0,0.1)' + }), + + # Underwater plot + html.Div([ + dcc.Graph(id='underwater-plot') + ], style={ + 'backgroundColor': 'white', + 'borderRadius': '10px', + 'padding': '15px', + 'boxShadow': '0 2px 4px rgba(0,0,0,0.1)' + }) + ], style={ + 'width': '70%', # Adjust this value to change the width of the plots section + 'display': 'flex', + 'flexDirection': 'column' + }) + ], style={ + 'display': 'flex', + 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--- /dev/null +++ b/quotation1/from_customer/backtest_dashboard/models/backtest.py @@ -0,0 +1,116 @@ +import pandas as pd +import numpy as np +from utils.helpers import zscore + +def backtest(df, window, threshold, time_factor, commission, mode): + df = df.copy() + df['O2C_chg'] = df['Close'] / df['Open'] - 1 + factor = df.active_addresses + df['indicator'] = zscore(factor, window) + + longCondition = df['indicator'].shift() > threshold + shortCondition = df['indicator'].shift() < -threshold + + df['pos'] = np.where(longCondition, 1, np.where(shortCondition, -1, 0)) + df['pnl'] = df['pos'] * df['O2C_chg'] - commission * abs(df['pos'].diff()) + sharpe = df['pnl'].mean() / df['pnl'].std() * np.sqrt(time_factor) + + if mode == 'heatmap': + return pd.Series([window, threshold, sharpe], index=['window', 'threshold', 'sharpe']) + + elif mode == 'full_report': + ar = df.pnl.mean() * time_factor * 100 + mdd = (df.pnl.cumsum() - df.pnl.cumsum().cummax()).min() * 100 + calmar = ar / abs(mdd) + + beta, _ = np.polyfit(df.Close.pct_change()[1:], df.pnl.dropna(), 1) + num_trades = int( + pd.concat([abs(df.pos.diff()), pd.Series(abs(df.pos).iloc[-1])]).fillna(df.pos.iloc[0]).cumsum().iloc[ + -1] / 2) + long_duration = (len(df.pos[df.pos == 1]) / len(df.pos)) * 100 + short_duration = (len(df.pos[df.pos == -1]) / len(df.pos)) * 100 + + win_rate = len(df.pnl[df.pnl > 0]) / len(df.pnl[df.pnl > 0] + df.pnl[df.pnl < 0]) * 100 + avg_win = df.pnl[df.pnl > 0].mean() * 100 + avg_loss = df.pnl[df.pnl < 0].mean() * 100 + + turnover_pct = (long_duration + short_duration) / num_trades + turnover = turnover_pct * len(df) * 0.01 + + result_dict = { + 'Return (Ann.) [%]': ar, + 'Sharpe Ratio': sharpe, + 'Calmar Ratio': calmar, + 'Max. Drawdown [%]': mdd, + 'Beta': beta, + 'Win Rate [%]': win_rate, + 'Avg Win [%]': avg_win, + 'Avg Loss [%]': avg_loss, + 'Number of Trades': num_trades, + 'Long Duration [%]': long_duration, + 'Short Duration [%]': short_duration, + 'Turnover [%]': turnover_pct, + 'Turnover Period': turnover, + 'Equity Curve': df.pnl.cumsum().tolist(), + 'Benchmark': df.O2C_chg.cumsum().tolist(), + 'Dates': df.index.tolist(), + 'Returns': df.pnl.tolist(), # Added daily PnL + 'Benchmark Returns': df.O2C_chg.tolist() # Added benchmark returns + } + + return result_dict + +def combine_strategies(df, strategies, time_factor, commission): + """ + Combine multiple strategies and calculate aggregate metrics. + + Parameters: + ----------- + df : pandas.DataFrame + Input data with OHLCV columns + strategies : list of dict + List of strategies with 'window' and 'threshold' parameters + time_factor : int + Time factor for annualization + commission : float + Commission rate + + Returns: + -------- + dict + Dictionary containing combined backtest results + """ + combined_pnl = pd.Series(0.0, index=df.index) + combined_benchmark = pd.Series(0.0, index=df.index) + + # Combine strategies + for strategy in strategies: + result = backtest(df, strategy['window'], strategy['threshold'], + time_factor, commission, 'full_report') + combined_pnl += pd.Series(result['Returns'], index=pd.to_datetime(result['Dates'])) + combined_benchmark += pd.Series(result['Benchmark Returns'], index=pd.to_datetime(result['Dates'])) + + # Average the returns + n_strategies = len(strategies) + combined_pnl = combined_pnl / n_strategies + combined_benchmark = combined_benchmark / n_strategies + + # Calculate metrics + ar = combined_pnl.mean() * time_factor * 100 + mdd = (combined_pnl.cumsum() - combined_pnl.cumsum().cummax()).min() * 100 + calmar = ar / abs(mdd) + sharpe = combined_pnl.mean() / combined_pnl.std() * np.sqrt(time_factor) + beta, _ = np.polyfit(df.Close.pct_change()[1:], combined_pnl.dropna(), 1) + + return { + 'Returns': combined_pnl.values, + 'Benchmark Returns': combined_benchmark.values, + 'Dates': df.index, + 'Equity Curve': combined_pnl.cumsum().values, + 'Benchmark': combined_benchmark.cumsum().values, + 'Return (Ann.) [%]': ar, + 'Sharpe Ratio': sharpe, + 'Calmar Ratio': calmar, + 'Max. Drawdown [%]': mdd, + 'Beta': beta + } \ No newline at end of file diff --git a/quotation1/from_customer/backtest_dashboard/utils/__init__.py b/quotation1/from_customer/backtest_dashboard/utils/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/quotation1/from_customer/backtest_dashboard/utils/__pycache__/__init__.cpython-310.pyc b/quotation1/from_customer/backtest_dashboard/utils/__pycache__/__init__.cpython-310.pyc new file mode 100644 index 0000000..909a9b1 Binary files /dev/null and b/quotation1/from_customer/backtest_dashboard/utils/__pycache__/__init__.cpython-310.pyc differ diff --git a/quotation1/from_customer/backtest_dashboard/utils/__pycache__/__init__.cpython-311.pyc b/quotation1/from_customer/backtest_dashboard/utils/__pycache__/__init__.cpython-311.pyc new file mode 100644 index 0000000..42667da Binary files /dev/null and b/quotation1/from_customer/backtest_dashboard/utils/__pycache__/__init__.cpython-311.pyc differ diff --git a/quotation1/from_customer/backtest_dashboard/utils/__pycache__/helpers.cpython-310.pyc b/quotation1/from_customer/backtest_dashboard/utils/__pycache__/helpers.cpython-310.pyc new file mode 100644 index 0000000..4961cbf Binary files /dev/null and b/quotation1/from_customer/backtest_dashboard/utils/__pycache__/helpers.cpython-310.pyc differ diff --git a/quotation1/from_customer/backtest_dashboard/utils/__pycache__/helpers.cpython-311.pyc b/quotation1/from_customer/backtest_dashboard/utils/__pycache__/helpers.cpython-311.pyc new file mode 100644 index 0000000..905b5e8 Binary files /dev/null and b/quotation1/from_customer/backtest_dashboard/utils/__pycache__/helpers.cpython-311.pyc differ diff --git a/quotation1/from_customer/backtest_dashboard/utils/helpers.py b/quotation1/from_customer/backtest_dashboard/utils/helpers.py new file mode 100644 index 0000000..02d19f5 --- /dev/null +++ b/quotation1/from_customer/backtest_dashboard/utils/helpers.py @@ -0,0 +1,29 @@ +import pandas as pd +import numpy as np + +def load_data(file_path='data/data.csv'): + try: + df = pd.read_csv(file_path) + df['date'] = pd.to_datetime(df['date']) + df.set_index('date', inplace=True) + + required_columns = ['Open', 'Close', 'active_addresses'] + missing_columns = [col for col in required_columns if col not in df.columns] + + if missing_columns: + raise ValueError(f"Missing required columns: {missing_columns}") + + return df + + except FileNotFoundError: + raise FileNotFoundError(f"{file_path} not found") + except Exception as e: + raise Exception(f"Error loading data: {str(e)}") + +def get_default_date_range(df): + """Get the earliest and latest dates from the dataframe""" + return df.index.min().strftime('%Y-%m-%d'), df.index.max().strftime('%Y-%m-%d') + + +def zscore(x, window): + return (x - x.rolling(window).mean()) / x.rolling(window).std() \ No newline at end of file diff --git a/quotation1/notes.md b/quotation1/notes.md new file mode 100644 index 0000000..60964fe --- /dev/null +++ b/quotation1/notes.md @@ -0,0 +1,10 @@ +--- +tags: python, dashboard +--- + +主要想 de 一個 bug ， + +加整多幾個 + +第一功能就係新增一個 correlation heatmap, +另外就新增一個 export 功能，把我所選的數據 export 到 csv