---
title: Strikes
sidebar_position: 3
---

import Tabs from "@theme/Tabs";
import TabItem from "@theme/TabItem";

Get a list of available strike prices for an underlying symbol.

## Making Requests

Use the `strikes()` method on the `options` resource to fetch strike prices. The method supports multiple output formats:

| Output Format | Return Type | Description |
|---------------|-------------|-------------|
| **DATAFRAME** | `pandas.DataFrame` or `polars.DataFrame` | Returns a DataFrame with strike prices (default). |
| **INTERNAL** | `OptionsStrikes` or `OptionsStrikesHumanReadable` | Returns an OptionsStrikes object. When `use_human_readable=True`, returns an OptionsStrikesHumanReadable object with capitalized field names. |
| **JSON** | `dict` | Returns the raw JSON response as a dictionary. |
| **CSV** | `str` | Writes CSV data to file and returns the filename string. |

<a name="strikes"></a>
## strikes

```python
def strikes(
    symbol: str,
    *,
    expiration: str | datetime.datetime = None,
    date: str | datetime.datetime = None,
    output_format: OutputFormat = OutputFormat.DATAFRAME,
    date_format: DateFormat = None,
    columns: list[str] = None,
    add_headers: bool = None,
    use_human_readable: bool = False,
    mode: Mode = None,
    filename: str | Path = None,
) -> OptionsStrikes | OptionsStrikesHumanReadable | dict | str | MarketDataClientErrorResult
```

Fetches available strike prices for a given symbol. The `symbol` parameter can be passed as the first positional argument or as a keyword argument. All other parameters must be keyword-only.

#### Parameters

- `symbol` (str)

  The underlying stock symbol for which to fetch strike prices.

- `expiration` (str | datetime.datetime, optional)

  Filter by expiration date.

- `date` (str | datetime.datetime, optional)

  Historical date for the strike prices.

- `output_format` ([OutputFormat](/sdk/py/settings#output-format), optional)

  The format of the returned data. Defaults to `OutputFormat.DATAFRAME`. See [Settings](/sdk/py/settings) for details.

- `date_format` ([DateFormat](/sdk/py/settings#date-format), optional)

  The date format to use in the response. Defaults to `DateFormat.UNIX`. See [Settings](/sdk/py/settings) for details.

- [`columns`](/sdk/py/settings#columns) (optional)

  Specify which columns to include in the response. See [Settings](/sdk/py/settings) for details.

- [`add_headers`](/sdk/py/settings#headers) (optional)

  Whether to include headers in the response. See [Settings](/sdk/py/settings) for details.

- [`use_human_readable`](/sdk/py/settings#human-readable) (optional)

  Whether to use human-readable format for values. Only applies when `output_format=OutputFormat.INTERNAL`. See [Settings](/sdk/py/settings) for details.

- `mode` ([Mode](/sdk/py/settings#data-mode), optional)

  The data feed mode to use. See [Settings](/sdk/py/settings) for details.

- `filename` (str | Path, optional)

  File path for CSV output (only used with `output_format=OutputFormat.CSV`).

#### Returns

- `OptionsStrikes` | `OptionsStrikesHumanReadable` | `dict` | `str` | `MarketDataClientErrorResult`

  The strike prices in the requested format, or a `MarketDataClientErrorResult` if an error occurred.

<Tabs>
<TabItem value="Example (DataFrame)" label="Example (DataFrame)">

```python
from marketdata.client import MarketDataClient

client = MarketDataClient()

# Get options strikes as DataFrame (default)
# symbol can be passed positionally or as keyword
df = client.options.strikes("AAPL")
# or
df = client.options.strikes(symbol="AAPL")

print(df)
```

</TabItem>

<TabItem value="Example (Internal)" label="Example (Internal)">

```python
from marketdata.client import MarketDataClient
from marketdata.input_types.base import OutputFormat

client = MarketDataClient()

# Get options strikes as internal object
strikes = client.options.strikes("AAPL", output_format=OutputFormat.INTERNAL)

# Access strike prices
# Strikes are stored as dynamic fields based on expiration dates
# Access them via __dict__ or getattr
print(f"Updated: {strikes.updated}")
# Example: Access strikes for a specific expiration date
# The field names are expiration dates in format "YYYY-MM-DD"
for key, value in strikes.__dict__.items():
    if key not in ["s", "updated"]:
        print(f"{key}: {value}")
```

</TabItem>

<TabItem value="Example (JSON)" label="Example (JSON)">

```python
from marketdata.client import MarketDataClient
from marketdata.input_types.base import OutputFormat

client = MarketDataClient()

# Get options strikes as JSON
strikes = client.options.strikes("AAPL", output_format=OutputFormat.JSON)

print(strikes)
```

</TabItem>

<TabItem value="Example (CSV)" label="Example (CSV)">

```python
from marketdata.client import MarketDataClient
from marketdata.input_types.base import OutputFormat
from pathlib import Path

client = MarketDataClient()

# Get options strikes as CSV
csv_file = client.options.strikes(
    "AAPL",
    output_format=OutputFormat.CSV,
    filename=Path("strikes.csv")
)

print(f"CSV file saved to: {csv_file}")
```

</TabItem>

<TabItem value="Example (Human Readable)" label="Example (Human Readable)">

```python
from marketdata.client import MarketDataClient
from marketdata.input_types.base import OutputFormat

client = MarketDataClient()

# Get options strikes in human-readable format
strikes = client.options.strikes(
    "AAPL",
    output_format=OutputFormat.INTERNAL,
    use_human_readable=True
)

# Access strike prices and date
print(f"Date: {strikes.Date}")
# Strikes are stored as dynamic fields based on expiration dates
# Access them via getattr or __dict__
```

</TabItem>
</Tabs>

<a name="OptionsStrikes"></a>
## OptionsStrikes

```python
@dataclass
class OptionsStrikes:
    s: str
    updated: datetime.datetime
    # Dynamic fields: expiration dates as keys (e.g., "2024-01-20": list[float])
```

OptionsStrikes represents strike prices for options, with dynamic fields based on expiration dates. Each expiration date becomes a field containing a list of strike prices.

#### Properties

- `s` (str): Status indicator ("ok" for successful responses).
- `updated` (datetime.datetime): The time when the data was last updated (automatically converted from timestamp).
- Dynamic fields: Each expiration date (in format "YYYY-MM-DD") becomes a field containing a list of strike prices (list[float]).

#### Notes

- The `updated` field is automatically converted to a `datetime.datetime` object from a Unix timestamp.
- Strike prices are organized by expiration date, with each expiration date as a field name.
- Access strikes using `getattr()` or `__dict__` (e.g., `getattr(strikes, "2024-01-20")`).

<a name="OptionsStrikesHumanReadable"></a>
## OptionsStrikesHumanReadable

```python
@dataclass
class OptionsStrikesHumanReadable:
    Date: datetime.datetime
    # Dynamic fields: expiration dates as keys (e.g., "2024-01-20": list[float])
```

OptionsStrikesHumanReadable represents strike prices in human-readable format with capitalized field names and formatted values.

#### Properties

- `Date` (datetime.datetime): The time when the data was last updated (automatically converted from timestamp).
- Dynamic fields: Each expiration date (in format "YYYY-MM-DD") becomes a field containing a list of strike prices (list[float]).

#### Notes

- The `Date` field is automatically converted to a `datetime.datetime` object from a Unix timestamp.
- Strike prices are organized by expiration date, with each expiration date as a field name.
- Access strikes using `getattr()` or `__dict__` (e.g., `getattr(strikes, "2024-01-20")`).
- Field names use capitalized format (e.g., `Date` instead of `updated`).