### Install Market Profile Library

Source: https://marketprofile.readthedocs.io/

Install the marketprofile library using pip.

```bash
pip install marketprofile

```

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

### Get Profile Price Range

Source: https://marketprofile.readthedocs.io/

Obtain the minimum and maximum price levels traded within the selected market profile slice.

```python
mp_slice.profile_range

```

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

### Get Market Profile Series

Source: https://marketprofile.readthedocs.io/

Access the calculated market profile as a Pandas Series, showing volume at different price levels.

```python
mp_slice.profile

```

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

### Get Point of Control Price

Source: https://marketprofile.readthedocs.io/

Retrieve the price level with the highest volume traded within the selected market profile slice.

```python
mp_slice.poc_price

```

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

### Get High Value Nodes

Source: https://marketprofile.readthedocs.io/

Identify and retrieve price levels with high volume within the selected market profile slice.

```python
mp_slice.high_value_nodes

```

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

### Get Value Area

Source: https://marketprofile.readthedocs.io/

Determine the value area, typically the range containing 70% of the volume, for the selected market profile slice.

```python
mp_slice.value_area

```

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

### Get Low Value Nodes

Source: https://marketprofile.readthedocs.io/

Identify and retrieve price levels with low volume within the selected market profile slice.

```python
mp_slice.low_value_nodes

```

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

### Run All Tests with Tox

Source: https://marketprofile.readthedocs.io/

Execute all tests for the marketprofile library using the tox testing tool.

```bash
tox

```

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

### Calculate Initial Balance

Source: https://marketprofile.readthedocs.io/

Determine the initial balance range (high and low prices) for the selected market profile slice.

```python
mp_slice.initial_balance()

```

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

### Load AMZN Data with Pandas

Source: https://marketprofile.readthedocs.io/

Import necessary libraries and load historical stock data for AMZN using pandas_datareader.

```python
from market_profile import MarketProfile
import pandas_datareader as data
amzn = data.get_data_yahoo('AMZN', '2019-12-01', '2019-12-31')

```

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

### Create MarketProfile Object

Source: https://marketprofile.readthedocs.io/

Instantiate the MarketProfile object using a Pandas DataFrame and select a specific time slice.

```python
mp = MarketProfile(amzn)
mp_slice = mp[amzn.index.min():amzn.index.max()]

```

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

### Calculate Open Range

Source: https://marketprofile.readthedocs.io/

Calculate the open range, which is typically the same as the initial balance, for the selected market profile slice.

```python
mp_slice.open_range()

```

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

### Calculate Balanced Target Price

Source: https://marketprofile.readthedocs.io/

Calculate a target price based on the concept of a balanced market, derived from the profile.

```python
mp_slice.balanced_target

```

=== COMPLETE CONTENT === This response contains all available snippets from this library. No additional content exists. Do not make further requests.