Metadata-Version: 2.1
Name: lakshmi
Version: 2.1.1
Summary: Investing library and command-line interface inspired by the Bogleheads philosophy
Home-page: https://github.com/sarvjeets/lakshmi
Author: Sarvjeet Singh
Author-email: sarvjeet@gmail.com
License: UNKNOWN
Platform: any
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.9.5
Description-Content-Type: text/markdown
License-File: LICENSE

# Lakshmi

![Screenshot of lak in action](https://sarvjeets.github.io/lakshmi/docs/lak.png)
(Screenshot of the `lak` command in action)

## Background
This project is inspired by
[Bogleheads forum](http://bogleheads.org). Bogleheads focus on a simple but
[powerful philosophy](https://www.bogleheads.org/wiki/Bogleheads%C2%AE_investment_philosophy)
that allows investors to achieve above-average
returns after costs. This tool is built around the same principles to help
an _average_ investor manage their investing portfolio.

Lakshmi (meaning "She who leads to one's goal") is one of the principal
goddesses in Hinduism. She is the goddess of wealth, fortune, power, health,
love, beauty, joy and prosperity.

## Introduction
This project consists of a library module (`lakshmi`) and a command-line
tool (`lak`) that exposes some of the functionality of the library. The library
provides useful abstractions and tools to manage your investing portfolio.

[Bogleheads wiki](https://www.bogleheads.org/wiki/Main_Page) is a great
resource for introduction to basic investing concepts like asset-allocation,
asset-location, etc.

The following features are currently available:
- Specify and track asset allocation across accounts.
- Ability to add/edit/delete accounts and assets (funds, stocks, etc.)
inside those accounts.
- Supports manual assets, assets with ticker, Vanguard funds (that don't
have associated ticker symbols),
[EE Bonds](https://www.treasurydirect.gov/indiv/products/prod_eebonds_glance.htm)
and
[I Bonds](https://www.treasurydirect.gov/indiv/research/indepth/ibonds/res_ibonds.htm).
- Automatic fetching of market value of various types of assets.
- Listing current values of assets, printing detailed information,
printing asset allocation, asset location, etc.
- Tracking of tax-lot information for assets.
- Support for running what-if scenarios to see how it impacts the asset
allocation, etc.
- Analysis of portfolio to identify if there is need to rebalance or
if there are losses that can be
[harvested](https://www.bogleheads.org/wiki/Tax_loss_harvesting).

## Installation

This project can be installed via [pip](https://pip.pypa.io/en/stable/).
To install the library and the lak command line tool, run:

```
pip install lakshmi
```

## Command-line interface

(For detailed help, please see [lak user guide](https://sarvjeets.github.io/lakshmi/docs/lak.html))

The simplest way to use this project is via the `lak` command. To access the
up to date help, run:

```
$ lak --help
Usage: lak [OPTIONS] COMMAND [ARGS]...

  lak is a simple command line tool inspired by Bogleheads philosophy.
  Detailed user guide is available at:
  https://sarvjeets.github.io/lakshmi/docs/lak.html

Options:
  --version      Show the version and exit.
  -r, --refresh  Re-fetch all data instead of using previously cached data.
                 For large portfolios, this would be extremely slow.
  --help         Show this message and exit.

Commands:
  add      Add new accounts or assets to the portfolio.
  analyze  Analyze the portfolio.
  delete   Delete an account or asset.
  edit     Edit parts of the portfolio.
  info     Print detailed information about an asset or account.
  init     Initializes a new portfolio by adding asset classes.
  list     Command to list various parts of the portfolio.
  whatif   Run hypothetical what if scenarios by modifying the total...
```

A new portfolio can be created by either:
1. Copying an [existing](https://sarvjeets.github.io/lakshmi/docs/portfolio.yaml)
portfolio file to ~/portfolio.yaml and editing it.

-- OR --

2. Using the `lak` commands to create a new portfolio. The following command will
open up an editor to input the desired asset allocation:

```
$ lak init
```

Accounts (His/Her 401(k), Roth IRAs, Taxable, etc.) can be added via
the `lak add account` command:

```
$ lak add account
# Use the above command multiple times to add more accounts.
```

Assets can be added to an account via the `lak add asset` command. Different
kinds of assets can be added to a portfolio. For a complete list, pull up the
help for the command:

```
$ lak add asset --help

Usage: lak add asset [OPTIONS]

  Edit assets in the portfolio.

Options:
  -p, --asset-type [ManualAsset|TickerAsset|VanguardFund|IBonds|EEBonds]
                                  Add this type of asset.  [required]
  -t, --account substr            Add asset to this account (a sub-string that
                                  matches the account name).  [required]
  --help                          Show this message and exit.
```

TickerAsset represents an asset with a ticker symbol. The value of these assets
is updated automatically. To add a TickerAsset:

```
lak add asset -p TickerAsset -t account_str
```
where account_str is a sub-string that uniquely matches an account added previously.

That's it. To view all the assets, asset allocation and asset location, run:

```
lak list assets total aa al
```

For more detailed information about the tool, please see
[lak user guide](https://sarvjeets.github.io/lakshmi/docs/lak.html).

## Library

The `lakshmi` library can also be used directly. The modules and classes are
well documented and there are numerous examples for using each method or class
in the [tests](https://github.com/sarvjeets/lakshmi/tree/develop/tests)
accompanying this package. For example, the
[example portfolio](https://sarvjeets.github.io/lakshmi/docs/portfolio.yaml) can be constructed and the asset
allocation, etc. can be printed by the following piece of code:

```python
from lakshmi import Account, AssetClass, Portfolio
from lakshmi.assets import TaxLot, TickerAsset
from lakshmi.table import Table


def main():
    asset_class = (
        AssetClass('All')
        .add_subclass(0.6, AssetClass('Equity')
                      .add_subclass(0.6, AssetClass('US'))
                      .add_subclass(0.4, AssetClass('Intl')))
        .add_subclass(0.4, AssetClass('Bonds')))
    portfolio = Portfolio(asset_class)

    (portfolio
     .add_account(Account('Schwab Taxable', 'Taxable')
                  .add_asset(TickerAsset('VTI', 1, {'US': 1.0})
                             .set_lots([TaxLot('2021/07/31', 1, 226)]))
                  .add_asset(TickerAsset('VXUS', 1, {'Intl': 1.0})
                             .set_lots([TaxLot('2021/07/31', 1, 64.94)])))
     .add_account(Account('Roth IRA', 'Tax-Exempt')
                  .add_asset(TickerAsset('VXUS', 1, {'Intl': 1.0})))
     .add_account(Account('Vanguard 401(k)', 'Tax-Deferred')
                  .add_asset(TickerAsset('VBMFX', 20, {'Bonds': 1.0}))))

    # Save the portfolio
    # portfolio.Save('portfolio.yaml')
    print('\n' + portfolio.asset_allocation_compact().string() + '\n')
    print(Table(2, coltypes=['str', 'dollars'])
          .add_row(['Total Assets', portfolio.total_value()]).string())
    print('\n' + portfolio.asset_allocation(['US', 'Intl', 'Bonds']).string())
    print('\n' + portfolio.assets().string() + '\n')
    print(portfolio.asset_location().string())


if __name__ == "__main__":
    main()
```

## Contributing
I'm looking for contributors for this project. If you are interested,
please contact me over email.

## License
Distributed under the MIT License. See `LICENSE` for more information.

## Acknowledgements

This project would not have been possible without my wife
[Niharika](http://niharika.org), who encouraged me to
start working on this project and continued supporting me throughout
the development.

In addition, I am indebted to the following folks whose wisdom has helped me
tremendously in my investing journey:
[John Bogle](https://en.wikipedia.org/wiki/John_C._Bogle),
[Taylor Larimore](https://www.bogleheads.org/wiki/Taylor_Larimore),
[Nisiprius](https://www.bogleheads.org/forum/viewtopic.php?t=242756),
[Livesoft](https://www.bogleheads.org/forum/viewtopic.php?t=237269),
[Mel Lindauer](https://www.bogleheads.org/wiki/Mel_Lindauer) and
[LadyGeek](https://www.bogleheads.org/blog/2018/12/04/interview-with-ladygeek-bogleheads-site-administrator/).

## The not-so-fine print

_The author is not a financial adviser and you agree to treat this tool
for informational purposes only. The author does not promise or guarantee
that the information provided by this tool is correct, current, or complete,
and it may contain technical inaccuracies or errors. The author is not
liable for any losses that you might incur by acting on the information
provided by this tool. Accordingly, you should confirm the accuracy and
completeness of all content, and seek professional advice taking into
account your own personal situation, before making any decision based
on information from this tool._

In a nutshell:
* The information provided by this tool is not financial advice.
* The author is not an expert or financial adviser.
* Consult a financial and/or tax adviser before taking action.


