| Name | stellar-stats JSON |
| Version |
0.8.2
JSON |
| download |
| home_page | None |
| Summary | Stats page for backtest/live trading |
| upload_time | 2025-09-19 05:08:49 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.9 |
| license | MIT |
| keywords |
trade
stats
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# Stellar Stats
A Streamlit-based trading statistics dashboard that analyzes backtest and live trading performance with comprehensive metrics and visualizations.
## Features
- **Multi-account performance analysis** - Compare performance across different trading accounts
- **Benchmark comparison** - Compare against market indices with leverage options
- **Flexible time periods** - YTD, inception-to-date, or custom date ranges
- **Comprehensive metrics** - Performance metrics, drawdown analysis, return distributions
- **Trade analysis** - Detailed breakdowns by underlying assets and slippage tracking
- **Round-trip analysis** - Extract and analyze complete trading round-trips
- **Investor tracking** - Calculate investor-specific returns
## Installation
```bash
pip install stellar-stats
```
## Usage
### Run the Dashboard
```bash
stellar-stats run
```
This launches the Streamlit web interface for interactive analysis.
## Configuration
Create an optional `config.toml` file to define:
- Account configurations and data directories
- Custom benchmark symbols
- API tokens (Tushare for Chinese market data)
The system will auto-discover account directories if no configuration is provided, which is useful for viewing backtesting results.
## Data Sources
- **Local files**: CSV/HDF/Parquet files containing returns, trades, round trips, and slippage data
- **Market data**: yfinance for global benchmark symbols
- **Chinese markets**: Tushare API (requires token configuration)
- **Investor data**: Optional investors.csv for investor-specific analysis
## License
MIT
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