Remove main application file app.py and update dependencies for modular dashboard architecture
- Deleted `app.py`, consolidating the main application logic into a modular structure for improved maintainability. - Added `dash-mantine-components` dependency to enhance UI component capabilities. - Updated `pyproject.toml` and `uv.lock` to reflect the new dependency. - Adjusted imports in `components/__init__.py` and `chart_controls.py` to align with the new modular design. - Cleaned up unused parameter controls in the market data layout to streamline the user interface.
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parent
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@ -2,11 +2,10 @@
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Reusable UI components for the dashboard.
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"""
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from .chart_controls import create_chart_config_panel
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from .indicator_modal import create_indicator_modal
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from .chart_controls import create_chart_config_panel, create_parameter_controls
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__all__ = [
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'create_indicator_modal',
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'create_chart_config_panel',
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'create_parameter_controls'
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'create_indicator_modal'
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]
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@ -91,105 +91,6 @@ def create_chart_config_panel(strategy_options, overlay_options, subplot_options
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})
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def create_parameter_controls():
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"""Create the parameter controls section for indicator configuration."""
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return html.Div([
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html.H5("📊 Indicator Parameters", style={'color': '#2c3e50', 'margin-bottom': '15px'}),
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# SMA/EMA Period Controls
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html.Div([
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html.Label("Moving Average Period:", style={'font-weight': 'bold', 'margin-bottom': '5px'}),
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dcc.Slider(
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id='ma-period-slider',
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min=5, max=200, step=5, value=20,
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marks={i: str(i) for i in [5, 20, 50, 100, 200]},
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tooltip={'placement': 'bottom', 'always_visible': True}
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)
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], style={'margin-bottom': '20px'}),
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# RSI Period Control
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html.Div([
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html.Label("RSI Period:", style={'font-weight': 'bold', 'margin-bottom': '5px'}),
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dcc.Slider(
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id='rsi-period-slider',
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min=7, max=30, step=1, value=14,
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marks={i: str(i) for i in [7, 14, 21, 30]},
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tooltip={'placement': 'bottom', 'always_visible': True}
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)
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], style={'margin-bottom': '20px'}),
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# MACD Parameters
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html.Div([
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html.Label("MACD Parameters:", style={'font-weight': 'bold', 'margin-bottom': '10px'}),
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html.Div([
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html.Div([
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html.Label("Fast:", style={'font-size': '12px'}),
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dcc.Input(
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id='macd-fast-input',
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type='number',
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value=12,
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min=5, max=50,
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style={'width': '60px', 'margin-left': '5px'}
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)
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], style={'display': 'inline-block', 'margin-right': '15px'}),
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html.Div([
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html.Label("Slow:", style={'font-size': '12px'}),
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dcc.Input(
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id='macd-slow-input',
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type='number',
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value=26,
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min=10, max=100,
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style={'width': '60px', 'margin-left': '5px'}
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)
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], style={'display': 'inline-block', 'margin-right': '15px'}),
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html.Div([
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html.Label("Signal:", style={'font-size': '12px'}),
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dcc.Input(
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id='macd-signal-input',
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type='number',
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value=9,
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min=3, max=20,
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style={'width': '60px', 'margin-left': '5px'}
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)
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], style={'display': 'inline-block'})
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])
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], style={'margin-bottom': '20px'}),
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# Bollinger Bands Parameters
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html.Div([
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html.Label("Bollinger Bands:", style={'font-weight': 'bold', 'margin-bottom': '10px'}),
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html.Div([
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html.Div([
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html.Label("Period:", style={'font-size': '12px'}),
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dcc.Input(
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id='bb-period-input',
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type='number',
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value=20,
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min=5, max=50,
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style={'width': '60px', 'margin-left': '5px'}
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)
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], style={'display': 'inline-block', 'margin-right': '15px'}),
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html.Div([
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html.Label("Std Dev:", style={'font-size': '12px'}),
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dcc.Input(
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id='bb-stddev-input',
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type='number',
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value=2.0,
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min=1.0, max=3.0, step=0.1,
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style={'width': '70px', 'margin-left': '5px'}
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)
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], style={'display': 'inline-block'})
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])
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])
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], style={
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'border': '1px solid #bdc3c7',
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'border-radius': '8px',
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'padding': '15px',
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'background-color': '#f8f9fa',
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'margin-bottom': '20px'
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})
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def create_auto_update_control():
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"""Create the auto-update control section."""
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return html.Div([
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@ -10,7 +10,6 @@ from components.charts.indicator_manager import get_indicator_manager
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from components.charts.indicator_defaults import ensure_default_indicators
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from dashboard.components.chart_controls import (
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create_chart_config_panel,
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create_parameter_controls,
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create_auto_update_control
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)
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@ -76,7 +75,6 @@ def get_market_data_layout():
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# Create components using the new modular functions
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chart_config_panel = create_chart_config_panel(strategy_options, overlay_options, subplot_options)
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parameter_controls = create_parameter_controls()
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auto_update_control = create_auto_update_control()
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return html.Div([
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@ -110,9 +108,6 @@ def get_market_data_layout():
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# Chart Configuration Panel
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chart_config_panel,
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# Parameter Controls Section
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parameter_controls,
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# Auto-update control
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auto_update_control,
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@ -7,6 +7,7 @@ requires-python = ">=3.10"
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dependencies = [
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# Core web framework
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"dash>=2.14.0",
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"dash-mantine-components>=0.12.0",
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"plotly>=5.17.0",
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# Database
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"sqlalchemy>=2.0.0",
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@ -75,14 +75,14 @@ Implementation of a flexible, strategy-driven chart system that supports technic
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- [x] 3.6 Add enhanced error handling and user guidance for missing strategies and indicators
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- [x] 3.7 Unit test configuration system and validation
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- [x] 4.0 Dashboard Integration and UI Controls **✅ COMPLETED**
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- [x] 4.0 Dashboard Integration and UI Controls
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- [x] 4.1 Add indicator selection checkboxes to dashboard layout
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- [x] 4.2 Create real-time chart updates with indicator toggling
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- [x] 4.3 Implement parameter adjustment controls for indicators
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- [x] 4.4 Add strategy selection dropdown for predefined configurations **✅ WORKING**
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- [x] 4.5 Update chart callback functions to handle new layer system **✅ COMPLETED - Modular callbacks**
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- [x] 4.6 Ensure backward compatibility with existing dashboard features **✅ COMPLETED**
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- [x] 4.7 Test dashboard integration with real market data **✅ COMPLETED - Confirmed working**
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- [x] 4.4 Add strategy selection dropdown for predefined configurations
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- [x] 4.5 Update chart callback functions to handle new layer system
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- [x] 4.6 Ensure backward compatibility with existing dashboard features
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- [x] 4.7 Test dashboard integration with real market data
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- [ ] 5.0 Signal Layer Foundation for Future Bot Integration
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- [ ] 5.1 Create signal layer architecture for buy/sell markers
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@ -94,13 +94,13 @@ Implementation of a flexible, strategy-driven chart system that supports technic
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- [ ] 5.7 Create foundation tests for signal layer functionality
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- [ ] 6.0 Documentation **⏳ IN PROGRESS**
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- [x] 6.1 Create documentation for the chart layers system **✅ COMPLETED**
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- [x] 6.1 Create documentation for the chart layers system
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- [ ] 6.2 Add documentation to the README
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- [x] 6.3 Create documentation for the ChartBuilder class **✅ COMPLETED**
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- [x] 6.4 Create documentation for the ChartUtils class **✅ COMPLETED**
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- [x] 6.5 Create documentation for the ChartConfig package **✅ COMPLETED**
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- [x] 6.6 Create documentation how to add new indicators **✅ COMPLETED**
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- [x] 6.7 Create documentation how to add new strategies **✅ COMPLETED**
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- [x] 6.3 Create documentation for the ChartBuilder class
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- [x] 6.4 Create documentation for the ChartUtils class
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- [x] 6.5 Create documentation for the ChartConfig package
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- [x] 6.6 Create documentation how to add new indicators
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- [x] 6.7 Create documentation how to add new strategies
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## Current Status
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@ -108,7 +108,7 @@ Implementation of a flexible, strategy-driven chart system that supports technic
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- **1.0 Foundation Infrastructure**: Fully implemented with modular charts system
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- **2.0 Indicator Layer System**: Complete implementation with all indicator types
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- **3.0 Strategy Configuration**: Comprehensive strategy system with validation
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- **4.0 Dashboard Integration**: **FULLY COMPLETED** including modular dashboard structure
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- **4.0 Dashboard Integration**: Including modular dashboard structure
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### 🎯 **KEY ACHIEVEMENTS**
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- **Strategy dropdown**: Fully functional with auto-loading of strategy indicators
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14
uv.lock
generated
14
uv.lock
generated
@ -388,6 +388,18 @@ wheels = [
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{ url = "https://files.pythonhosted.org/packages/0d/20/2e7ab37ea2ef1f8b2592a2615c8b3fb041ad51f32101061d8bc6465b8b40/dash-3.0.4-py3-none-any.whl", hash = "sha256:177f8c3d1fa45555b18f2f670808eba7803c72a6b1cd6fd172fd538aca18eb1d", size = 7935680 },
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]
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[[package]]
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name = "dash-mantine-components"
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version = "2.0.0"
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source = { registry = "https://pypi.org/simple" }
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dependencies = [
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{ name = "dash" },
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]
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sdist = { url = "https://files.pythonhosted.org/packages/2c/1e/535c8312f038ea688171435cefd8b5b03452353646e43bade5d92a8d9da0/dash_mantine_components-2.0.0.tar.gz", hash = "sha256:2e09b7f60b41483a06d270c621b5f23a1a9c9321a7f60d2e2b631cde493456cb", size = 850199 }
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wheels = [
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{ url = "https://files.pythonhosted.org/packages/77/45/a1acd23b37af85c8b824ccb3e3e4232900725830a652b762ed0c67afec2a/dash_mantine_components-2.0.0-py3-none-any.whl", hash = "sha256:e084ba1fac9a9ad8672852047d0a97dc3cd7372677d1fa55ef8e655a664fa271", size = 1262158 },
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]
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[[package]]
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name = "dashboard"
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version = "0.1.0"
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@ -397,6 +409,7 @@ dependencies = [
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{ name = "alembic" },
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{ name = "click" },
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{ name = "dash" },
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{ name = "dash-mantine-components" },
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{ name = "numpy" },
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{ name = "pandas" },
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{ name = "plotly" },
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@ -441,6 +454,7 @@ requires-dist = [
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{ name = "black", marker = "extra == 'dev'", specifier = ">=23.0.0" },
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{ name = "click", specifier = ">=8.0.0" },
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{ name = "dash", specifier = ">=2.14.0" },
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{ name = "dash-mantine-components", specifier = ">=0.12.0" },
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{ name = "flake8", marker = "extra == 'dev'", specifier = ">=6.0.0" },
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{ name = "isort", marker = "extra == 'dev'", specifier = ">=5.12.0" },
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{ name = "mypy", marker = "extra == 'dev'", specifier = ">=1.5.0" },
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