### Install opstrat

Source: https://pypi.org/project/opstrat

Use pip to install the opstrat library.

```bash
pip install opstrat
```

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

### Installation and Basic Usage

Source: https://pypi.org/project/opstrat

Instructions on how to install the opstrat library and import it for use, along with a version check.

```APIDOC
## Installation
Use the package manager pip to install opstrat.
```python
pip install opstrat
```

## Usage
### Import opstrat
```python
import opstrat as op
```

## Version check
```python
op.__version__
```

If you are using an older version upgrade to the latest package using:
```python
pip install opstrat --upgrade
```
```

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

### Check opstrat version

Source: https://pypi.org/project/opstrat

Verify the currently installed version of the library.

```python
op.__version__
```

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

### Import opstrat

Source: https://pypi.org/project/opstrat

Import the library to begin using its visualization functions.

```python
import opstrat
```

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

### Plot multi-option strategy with default parameters

Source: https://pypi.org/project/opstrat

Generate a payoff diagram for a short strangle strategy using default settings.

```python
op.multi_plotter()
```

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

### Plot single option with default parameters

Source: https://pypi.org/project/opstrat

Generate a payoff diagram for a single option using default settings.

```python
op.single_plotter()
```

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

### Plot single option with custom parameters

Source: https://pypi.org/project/opstrat

Generate a payoff diagram for a single option by specifying spot price, strike, type, transaction type, and premium.

```python
op.single_plotter(spot=460, strike=460, op_type='p', tr_type='s', op_pr=12.5)
```

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

### Upgrade opstrat

Source: https://pypi.org/project/opstrat

Update the package to the latest version using pip.

```bash
pip install opstrat --upgrade
```

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

### Plot complex multi-option strategy

Source: https://pypi.org/project/opstrat

Generate a payoff diagram for an Iron Condor strategy by defining a list of option dictionaries.

```python
op1={'op_type': 'c', 'strike': 215, 'tr_type': 's', 'op_pr': 7.63}
op2={'op_type': 'c', 'strike': 220, 'tr_type': 'b', 'op_pr': 5.35}
op3={'op_type': 'p', 'strike': 210, 'tr_type': 's', 'op_pr': 7.20}
op4={'op_type': 'p', 'strike': 205, 'tr_type': 'b', 'op_pr': 5.52}

op_list=[op1, op2, op3, op4]
op.multi_plotter(spot=212.26,spot_range=10, op_list=op_list)
```

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

### Plot Default Strangle on Microsoft

Source: https://pypi.org/project/opstrat

Generates a default plot for a strangle strategy on Microsoft stock. No specific parameters are required for this basic plot.

```python
op.yf_plotter()

```

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

### Save Option Plot to File

Source: https://pypi.org/project/opstrat

Saves the generated option plot to a file. Set `save=True` and provide a filename with extension to `file`. If `file` is omitted, it defaults to 'fig.png'.

```python
op.single_plotter(save=True,file='simple_option.jpeg')

```

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

### multi_plotter() - Plotting Multiple Options Strategies

Source: https://pypi.org/project/opstrat

This function is used for plotting payoff diagrams involving multiple options, suitable for complex strategies like strangles and iron condors.

```APIDOC
## 2. multi_plotter()
Used for plotting a single option

### Parameters
- **spot** (int, float, default: 100) - Spot Price.
- **spot_range** (int, float, optional, default: 20) - Range of spot variation in percentage.
- **op_list** (list of dictionary) - A list of dictionaries, where each dictionary represents an option and must contain the following keys:
  - **'strike'** (int, float, default: 720) - Strike Price.
  - **'tr_type'** (kind {'b', 's'}, default:'b') - Transaction Type: 'b' for long, 's' for short.
  - **'op_pr'** (int, float, default: 10) - Option Price.
  - **'op_type'** (kind {'c','p'}, default:'c') - Option type: 'c' for call, 'p' for put.

### 2.a Default plot : The short strangle
Options trading that involve:
(a) selling of a slightly out-of-the-money put and
(b) a slightly out-of-the-money call of the same underlying stock and expiration date.
spot_range=+/-20%
spot=100

Option 1:Short call at strike price 110
op_type: 'c','strike': 110 'tr_type': 's', 'op_pr': 2
Option 2 : Short put at strike price 95
'op_type': 'p', 'strike': 95, 'tr_type': 's', 'op_pr': 6

```python
op.multi_plotter()
```

### 2.b Example: Iron Condor (Option strategy with 4 options)
An iron condor is an options strategy consisting of two puts (one long and one short) and two calls (one long and one short), and four strike prices, all with the same expiration date.
stock currently trading at 212.26 (Spot Price)

Option 1: Sell a call with a 215 strike, which gives 7.63 in premium
Option 2: Buy a call with a strike of 220, which costs 5.35.
Option 3: Sell a put with a strike of 210 with premium received 7.20
Option 4: Buy a put with a strike of 205 costing 5.52.

```python
op1={'op_type': 'c', 'strike': 215, 'tr_type': 's', 'op_pr': 7.63}
op2={'op_type': 'c', 'strike': 220, 'tr_type': 'b', 'op_pr': 5.35}
op3={'op_type': 'p', 'strike': 210, 'tr_type': 's', 'op_pr': 7.20}
op4={'op_type': 'p', 'strike': 205, 'tr_type': 'b', 'op_pr': 5.52}

op_list=[op1, op2, op3, op4]
op.multi_plotter(spot=212.26,spot_range=10, op_list=op_list)
```
```

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

### Plot Strangle on Amazon with Custom Options

Source: https://pypi.org/project/opstrat

Plots a strangle strategy on Amazon stock with specified option types, strikes, and transaction types. Ensure 'amzn' ticker and 'default' expiration are used.

```python
op_1={'op_type': 'c', 'strike':3070, 'tr_type': 'b'}
op_2={'op_type': 'p', 'strike':3070, 'tr_type': 'b'}
op.yf_plotter(ticker='amzn',
              exp='default',
              op_list=[op_1, op_2])

```

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

### single_plotter() - Plotting Single Option Payoff

Source: https://pypi.org/project/opstrat

This function is used for plotting the payoff diagram of a single option, allowing customization of various parameters.

```APIDOC
## 1. single_plotter()
Used for plotting payoff diagram involving multiple options.

### Parameters
- **op_type** (kind {'c','p'}, default:'c') - Option type: 'c' for call, 'p' for put.
- **spot** (int, float, default: 100) - Spot Price.
- **spot_range** (int, float, optional, default: 5) - Range of spot variation in percentage.
- **strike** (int, float, default: 102) - Strike Price.
- **tr_type** (kind {'b', 's'}, default:'b') - Transaction Type: 'b' for long, 's' for short.
- **op_pr** (int, float, default: 10) - Option Price.

### 1.a Default plot
Option type : Call
Spot Price : 100
Spot range : +/- 5%
Strike price: 102
Position : Long
Option Premium: 10

```python
op.single_plotter()
```

Green : Profit
Red : Loss

### 1.b Input parameters
Strike Price : 450
Spot price : 460
Option type : Put Option
Position : Short
Option Premium : 12.5

```python
op.single_plotter(spot=460, strike=460, op_type='p', tr_type='s', op_pr=12.5)
```
```

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