Skip to content

feat(webui): add US stock probabilistic forecast workflow #316

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
vraj015 wants to merge 1 commit into
base: master
Choose a base branch
from
Open

feat(webui): add US stock probabilistic forecast workflow #316

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
24 changes: 21 additions & 3 deletions webui/README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -7,17 +7,21 @@ Web user interface for Kronos financial prediction model, providing intuitive gr
- **Multi-format data support**: Supports CSV, Feather and other financial data formats
- **Smart time window**: Fixed 400+120 data point time window slider selection
- **Real model prediction**: Integrated real Kronos model, supports multiple model sizes
- **US stock mode**: Enter a Yahoo ticker (for example SMCI/AAPL/NVDA) and forecast future business days directly
- **Prediction quality control**: Adjustable temperature, nucleus sampling, sample count and other parameters
- **Multi-device support**: Supports CPU, CUDA, MPS and other computing devices
- **Comparison analysis**: Detailed comparison between prediction results and actual data
- **K-line chart display**: Professional financial K-line chart display
- **Probabilistic forecast chart**: Historical line + mean forecast + min-max range + volume panel

## 🚀 Quick Start

### Method 1: Start with Python script
```bash
cd webui
python run.py
uv venv
uv pip install -r requirements.txt
uv run run.py
```

### Method 2: Start with Shell script
Expand All @@ -30,7 +34,9 @@ chmod +x start.sh
### Method 3: Start Flask application directly
```bash
cd webui
python app.py
uv venv
uv pip install -r requirements.txt
uv run app.py
```

After successful startup, visit http://localhost:7070
Expand All @@ -44,6 +50,18 @@ After successful startup, visit http://localhost:7070
5. **Start prediction**: Click prediction button to generate results
6. **View results**: View prediction results in charts and tables

### US Stock Prediction (Yahoo Finance)

1. Load Kronos model first
2. Enter ticker symbol in the US stock section (for example `SMCI`)
3. Set prediction days and history period
4. Click **Predict US Stock (Yahoo)**
5. View probabilistic chart with:
- Historical close price
- Mean forecast path
- Forecast uncertainty band (min-max)
- Historical and forecasted volume

## 🔧 Prediction Quality Parameters

### Temperature (T)
Expand Down Expand Up @@ -112,7 +130,7 @@ The system automatically provides comparison analysis between prediction results

### Common Issues
1. **Port occupied**: Modify port number in app.py
2. **Missing dependencies**: Run `pip install -r requirements.txt`
2. **Missing dependencies**: Run `uv pip install -r requirements.txt`
3. **Model loading failed**: Check network connection and model ID
4. **Data format error**: Ensure data column names and format are correct

Expand Down
Loading