### Python Installation Commands

Source: https://github.com/thk3421-models/kellyportfolio/blob/main/README.md

Commands to install required Python modules and clone the Kelly Portfolio repository. Dependencies include standard libraries like argparse, datetime, json, sys, numpy, pandas, yfinance, and cvxopt.

```shell
pip install argparse datetime json sys numpy pandas yfinance cvxopt
git clone https://github.com/thk3421-models/KellyPortfolio.git
```

--------------------------------

### JSON Configuration File Example

Source: https://github.com/thk3421-models/kellyportfolio/blob/main/README.md

A sample JSON configuration file for the Kelly Portfolio. It specifies assets (stocks and cryptocurrencies), the Kelly fraction, lookback period, risk-free rate, expected returns, and capital allocation parameters.

```json
{
    "assets": {
        "stock_symbols": ["SPY", "TLT", "XOM", "AAPL"],
        "crypto_symbols": ["BTC-USD", "ETH-USD"]
    },
    "kelly_fraction": 0.15,
    "max_lookback_years": 5,
    "annual_risk_free_rate": 0.008,
    "identical_annual_excess_return_rate": 0.03,
    "expected_annual_excess_return_rates": {
        "SPY": 0.05,
        "TLT": 0.02,
        "XOM": 0.03,
        "AAPL": 0.07,
        "BTC-USD": 0.07,
        "ETH-USD": 0.07
    },
    "max_position_size", 0.99,
    "capital": 1000000,
    "position_sizes": {
        "SPY": 0.40,
        "TLT": 0.20,
        "XOM": 0.10,
        "AAPL": 0.15,
        "BTC-USD": 0.10,
        "ETH-USD": 0.05
    }
}
```

--------------------------------

### Run Kelly Portfolio Program with Custom Estimation

Source: https://github.com/thk3421-models/kellyportfolio/blob/main/README.md

This snippet shows how to execute the Kelly portfolio optimization program using a custom configuration file and the 'custom' estimation mode. The program then downloads financial data, calculates returns and correlations, and determines Kelly weights for asset allocation. It utilizes Python and external libraries for data handling and optimization.

```bash
python kelly.py --config config.json --estimation_mode custom
```

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