[Docs] Adds Example Notebook for the Implied Earnings Move (#6128)

* adds example notebook for the implied earnings move

* remove commented out line

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Co-authored-by: James Maslek <jmaslek11@gmail.com>
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Danglewood
2024-02-27 07:34:24 -08:00
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@@ -67,3 +67,13 @@ This notebook demonstrates how to query the Federal Reserve Economic Database an
- Perform arithmetic operations on a DataFrame. - Perform arithmetic operations on a DataFrame.
- Normalization methods for a series or DataFrame. - Normalization methods for a series or DataFrame.
- Simple processes for creating charts. - Simple processes for creating charts.
### impliedEarningsMove
This notebook demonstrates how to calculate the implied earnings move using options prices from free sources.
- Get upcoming earnings calendar.
- Fetch options chains data.
- Get the last price of the underlying stock.
- Find the nearest call and put strikes to the last price of the stock.
- Calculate the implied daily move using the price of a straddle.

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"img": "https://raw.githubusercontent.com/OpenBB-finance/OpenBBTerminal/develop/examples/financialStatements.webp", "img": "https://raw.githubusercontent.com/OpenBB-finance/OpenBBTerminal/develop/examples/financialStatements.webp",
"description": "description":
"Get started with financial statements in the OpenBB Platform. This notebook compares the data from different providers and demonstrates how to access items within the three main financial statements - balance, cash, and income." "Get started with financial statements in the OpenBB Platform. This notebook compares the data from different providers and demonstrates how to access items within the three main financial statements - balance, cash, and income."
},
{
"title": "Implied Earnings Move",
"url": "https://github.com/OpenBB-finance/OpenBBTerminal/blob/develop/examples/impliedEarningsMove.ipynb",
"img": "https://raw.githubusercontent.com/OpenBB-finance/OpenBBTerminal/develop/examples/impliedEarningsMove.webp",
"description":
"Calculate the implied earnings move using options prices. This notebook demonstrates how to get the data from free sources and apply filters to arrive at the expected move, as a percent, in either direction."
} }
] ]

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