Metadata-Version: 2.1
Name: investment-rebalancer
Version: 1.0.0
Summary: A simple tool helping you to calculate your portfolio rebalancing.
Home-page: https://github.com/Plebo13/investment-rebalancer
License: Apache-2.0
Author: Lukas Brauckmann
Author-email: lukas.brauckmann@gmail.com
Maintainer: Lukas Brauckmann
Maintainer-email: lukas.brauckmann@gmail.com
Requires-Python: >=3.10,<4.0
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Requires-Dist: prettytable (>=3.8.0,<4.0.0)
Requires-Dist: prompt-toolkit (>=3.0.39,<4.0.0)
Requires-Dist: pydantic (>=2.6.3,<3.0.0)
Requires-Dist: sharepp (>=1.1.2,<2.0.0)
Project-URL: Repository, https://github.com/Plebo13/investment-rebalancer
Description-Content-Type: text/markdown

# Investment Rebalancer

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## Overview

investment-rebalancer is a terminal application that helps one to rebalance one's portfolio. A configuration is used to define the classifications into which you want to divide your portfolio (e.g. regions, factor investing, core/satellite).

## Example configurations

### 70/30 portfolio

This example describes a classic 70/30 portfolio. The portfolio is invested 70% in developed markets and 30% in emerging markets.
In this example, the two ETFs _Lyxor Core MSCI World_ and Lyxor _MSCI Emerging Markets_ were chosen as investments.

```json
{
  "classifications": {
    "Regions": {
      "Developed World": {
        "target_allocation": 70.0,
        "assets": ["LU1781541179"]
      },
      "Emerging Markets": {
        "target_allocation": 30.0,
        "assets": ["LU0635178014"]
      }
    }
  },
  "etf": {
    "LU1781541179": {
      "name": "Lyxor Core MSCI World",
      "enabled": true,
      "quantity": 100,
      "ter": 0.12
    },
    "LU0635178014": {
      "name": "Lyxor MSCI Emerging Markets",
      "enabled": true,
      "quantity": 50,
      "ter": 0.14
    }
  }
}
```

### 70/30 portfolio with small caps

This example is an extension to the above 70/30 portfolio. Again, 70% of the capital is allocated to developed markets and 30% to emerging markets. In addition to the already existing classification Regions, there is now also a classification Factor. 15% of the capital is supposed to be invested with the factor small caps. The remaining 85% should be invested in large and mid caps.
In addition the two ETFs iShares _MSCI World Small Cap_ and _SPDR MSCI Emerging Markets Small Cap_ were selected for this example.

```json
{
  "classifications": {
    "Regions": {
      "Developed World": {
        "target_allocation": 70.0,
        "assets": ["LU1781541179", "IE00BF4RFH31"]
      },
      "Emerging Markets": {
        "target_allocation": 30.0,
        "assets": ["LU0635178014", "IE00B48X4842"]
      }
    },
    "Factor": {
      "Large Cap": {
        "target_allocation": 85.0,
        "assets": ["LU1781541179", "LU0635178014"]
      },
      "Small Cap": {
        "target_allocation": 15.0,
        "assets": ["IE00BF4RFH31", "IE00B48X4842"]
      }
    }
  },
  "etf": {
    "LU1781541179": {
      "name": "Lyxor Core MSCI World",
      "enabled": true,
      "quantity": 200,
      "ter": 0.12
    },
    "LU0635178014": {
      "name": "Lyxor MSCI Emerging Markets",
      "enabled": true,
      "quantity": 50,
      "ter": 0.14
    },
    "IE00BF4RFH31": {
      "name": "iShares MSCI World Small Cap",
      "enabled": true,
      "quantity": 65,
      "ter": 0.35
    },
    "IE00B48X4842": {
      "name": "SPDR MSCI Emerging Markets Small Cap",
      "enabled": true,
      "quantity": 2,
      "ter": 0.55
    }
  }
}
```

