From d99c5491d1dcae8ea5ad108147b5830c61e0f8d6 Mon Sep 17 00:00:00 2001
From: James Maslek <jmaslek11@gmail.com>
Date: Fri, 16 Dec 2022 05:33:45 -0500
Subject: [PATCH] Small options fix + docstring (#3792)

* fix dte for options

* sorry henrique
---
 openbb_terminal/stocks/insider/sdk_helper.py     |  2 +-
 openbb_terminal/stocks/options/yfinance_model.py | 12 +++++++-----
 2 files changed, 8 insertions(+), 6 deletions(-)

diff --git a/openbb_terminal/stocks/insider/sdk_helper.py b/openbb_terminal/stocks/insider/sdk_helper.py
index ea4163d177a..e2e13eb3446 100644
--- a/openbb_terminal/stocks/insider/sdk_helper.py
+++ b/openbb_terminal/stocks/insider/sdk_helper.py
@@ -160,7 +160,7 @@ def blcp() -> pd.DataFrame:
     Examples
     --------
     >>> from openbb_terminal.sdk import openbb
-    >>> openbb.stocks.ins.bclp()
+    >>> openbb.stocks.ins.blcp()
     """
     return openinsider_model.get_print_insider_data("blcp")
 
diff --git a/openbb_terminal/stocks/options/yfinance_model.py b/openbb_terminal/stocks/options/yfinance_model.py
index 769d83e38d5..05337cc9e24 100644
--- a/openbb_terminal/stocks/options/yfinance_model.py
+++ b/openbb_terminal/stocks/options/yfinance_model.py
@@ -127,9 +127,9 @@ def get_option_chain_expiry(
     df_list = [x[x["impliedVolatility"] > 0].copy() for x in df_list]
     # Add in greeks to each df
     # Time to expiration:
-    dt = (datetime.strptime(expiry, "%Y-%m-%d") - datetime.now()).seconds / (
-        60 * 60 * 24
-    )
+    dt = (
+        datetime.strptime(expiry, "%Y-%m-%d") + timedelta(hours=16) - datetime.now()
+    ).total_seconds() / (60 * 60 * 24)
     # Note the way the Option class is defined, put has a -1 input and call has a +1 input
     for df, option_type in zip(df_list, option_factor):
         df["Delta"] = df.apply(
@@ -539,8 +539,10 @@ def get_greeks(
 
     risk_free = rf if rf is not None else get_rf()
     expire_dt = datetime.strptime(expire, "%Y-%m-%d")
-    dif = (expire_dt - datetime.now()).total_seconds() / (60 * 60 * 24)
-
+    dif = (expire_dt - datetime.now() + timedelta(hours=16)).total_seconds() / (
+        60 * 60 * 24
+    )
+    print(dif)
     strikes = []
     for _, row in chain.iterrows():
         vol = row["impliedVolatility"]