remove emojis from console

This commit is contained in:
Dobromir Popov
2025-10-25 16:35:08 +03:00
parent 5aa4925cff
commit b8f54e61fa
75 changed files with 828 additions and 828 deletions

View File

@@ -4,22 +4,22 @@
The Manual Trade Annotation UI is now **functionally complete** with all core features implemented and ready for use.
## Completed Tasks (Tasks 1-5)
## Completed Tasks (Tasks 1-5)
### Task 1: Project Structure
### Task 1: Project Structure
- Complete folder structure in `/ANNOTATE`
- Flask/Dash web application
- Template-based architecture (all HTML in separate files)
- Dark theme CSS
- Client-side JavaScript modules
### Task 2: Data Loading
### Task 2: Data Loading
- `HistoricalDataLoader` - Integrates with existing DataProvider
- `TimeRangeManager` - Time navigation and prefetching
- Memory caching with TTL
- **Uses same data source as training/inference**
### Task 3: Chart Visualization
### Task 3: Chart Visualization
- Multi-timeframe Plotly charts (1s, 1m, 1h, 1d)
- Candlestick + volume visualization
- Chart synchronization across timeframes
@@ -27,14 +27,14 @@ The Manual Trade Annotation UI is now **functionally complete** with all core fe
- Zoom and pan functionality
- Scroll zoom enabled
### Task 4: Time Navigation
### Task 4: Time Navigation
- Date/time picker
- Quick range buttons (1h, 4h, 1d, 1w)
- Forward/backward navigation
- Keyboard shortcuts (arrow keys)
- Time range calculations
### Task 5: Trade Annotation
### Task 5: Trade Annotation
- Click to mark entry/exit points
- Visual markers on charts (▲ entry, ▼ exit)
- P&L calculation and display
@@ -44,7 +44,7 @@ The Manual Trade Annotation UI is now **functionally complete** with all core fe
## 🎯 Key Features
### 1. Data Consistency
### 1. Data Consistency
```python
# Same DataProvider used everywhere
DataProvider HistoricalDataLoader Annotation UI
@@ -52,7 +52,7 @@ DataProvider → HistoricalDataLoader → Annotation UI
Training/Inference
```
### 2. Test Case Generation
### 2. Test Case Generation
```python
# Generates test cases in realtime format
{
@@ -75,14 +75,14 @@ DataProvider → HistoricalDataLoader → Annotation UI
}
```
### 3. Visual Annotation System
### 3. Visual Annotation System
- **Entry markers**: Green/Red triangles (▲)
- **Exit markers**: Green/Red triangles (▼)
- **P&L labels**: Displayed with percentage
- **Connecting lines**: Dashed lines between entry/exit
- **Color coding**: Green for LONG, Red for SHORT
### 4. Chart Features
### 4. Chart Features
- **Multi-timeframe**: 4 synchronized charts
- **Candlestick**: OHLC visualization
- **Volume bars**: Color-coded by direction
@@ -164,7 +164,7 @@ Save to test_cases/annotation_*.json
└─────────────────────────────────────┘
```
## 🚀 Usage Guide
## Usage Guide
### 1. Start the Application
```bash
@@ -278,12 +278,12 @@ Export annotations to JSON/CSV
## 🎯 Next Steps (Optional Enhancements)
### Task 6: Annotation Storage (Already Complete)
### Task 6: Annotation Storage (Already Complete)
- JSON-based storage implemented
- CRUD operations working
- Auto-save functionality
### Task 7: Test Case Generation (Already Complete)
### Task 7: Test Case Generation (Already Complete)
- Realtime format implemented
- Market context extraction working
- File storage implemented
@@ -304,14 +304,14 @@ Export annotations to JSON/CSV
## ✨ Key Achievements
1. ** Data Consistency**: Uses same DataProvider as training/inference
2. ** Template Architecture**: All HTML in separate files
3. ** Dark Theme**: Professional UI matching main dashboard
4. ** Multi-Timeframe**: 4 synchronized charts
5. ** Visual Annotations**: Clear entry/exit markers with P&L
6. ** Test Case Generation**: Realtime format with market context
7. ** Self-Contained**: Isolated in /ANNOTATE folder
8. ** Production Ready**: Functional core features complete
1. ** Data Consistency**: Uses same DataProvider as training/inference
2. ** Template Architecture**: All HTML in separate files
3. ** Dark Theme**: Professional UI matching main dashboard
4. ** Multi-Timeframe**: 4 synchronized charts
5. ** Visual Annotations**: Clear entry/exit markers with P&L
6. ** Test Case Generation**: Realtime format with market context
7. ** Self-Contained**: Isolated in /ANNOTATE folder
8. ** Production Ready**: Functional core features complete
## 🎊 Success Criteria Met
@@ -326,14 +326,14 @@ Export annotations to JSON/CSV
- [ ] Model training integration (optional)
- [ ] Inference simulation (optional)
## 🚀 Ready for Use!
## Ready for Use!
The ANNOTATE system is now **ready for production use**. You can:
1. Mark profitable trades on historical data
2. Generate training test cases
3. Visualize annotations on charts
4. Export annotations for analysis
5. Use same data as training/inference
1. Mark profitable trades on historical data
2. Generate training test cases
3. Visualize annotations on charts
4. Export annotations for analysis
5. Use same data as training/inference
The core functionality is complete and the system is ready to generate high-quality training data for your models! 🎉