Skip to main content

Stats page for backtest/live trading

Project description

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

pip install stellar-stats

Usage

Run the Dashboard

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

stellar_stats-0.8.8.tar.gz (45.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

stellar_stats-0.8.8-py3-none-any.whl (44.9 kB view details)

Uploaded Python 3

File details

Details for the file stellar_stats-0.8.8.tar.gz.

File metadata

  • Download URL: stellar_stats-0.8.8.tar.gz
  • Upload date:
  • Size: 45.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.7

File hashes

Hashes for stellar_stats-0.8.8.tar.gz
Algorithm Hash digest
SHA256 2ae6e1b14d3e612c93e821cfb33a328b46dc953218411b0013f3f87b13d6fc19
MD5 dc47cc31f9519af8cf5951bc88f1a5ee
BLAKE2b-256 3921226816d64b467655302b7793a35fbfbb3dd74bd056dc1ade20a2795d9738

See more details on using hashes here.

File details

Details for the file stellar_stats-0.8.8-py3-none-any.whl.

File metadata

  • Download URL: stellar_stats-0.8.8-py3-none-any.whl
  • Upload date:
  • Size: 44.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.7

File hashes

Hashes for stellar_stats-0.8.8-py3-none-any.whl
Algorithm Hash digest
SHA256 e8d026c3b2f083a9c5110c50549834ea08c7327e4c95faa9b095c01b3d876664
MD5 f3afef7b8381d8c75a59202465920260
BLAKE2b-256 039ecbba517d1e2e3bda6507cbcbbb83e5c60793077ed3684e2c32b38a5fef02

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page