diff --git a/docs/notebooks/10. Rotational Trading.ipynb b/docs/notebooks/10. Rotational Trading.ipynb
index c617aca..16003ff 100644
--- a/docs/notebooks/10. Rotational Trading.ipynb	
+++ b/docs/notebooks/10. Rotational Trading.ipynb	
@@ -7,7 +7,7 @@
    "source": [
     "# Rotational Trading\n",
     "\n",
-    "Rotational trading involves buying the best-performing assets and selling the underperforming ones. **PyBroker** can be utilized to backtest rotational trading strategies, as this notebook will demonstrate."
+    "Rotational trading involves purchasing the best-performing assets while selling underperforming ones. As you may have guessed, **PyBroker** is an excellent tool for backtesting such strategies. So, let's dive in and get started with testing our rotational trading strategy!"
    ]
   },
   {
@@ -26,7 +26,7 @@
    "id": "6475b3fc",
    "metadata": {},
    "source": [
-    "Let's create a strategy that involves ranking and buying stocks with the highest [price rate-of-change (ROC)](https://www.investopedia.com/terms/p/pricerateofchange.asp). To start, we'll define a 20-day ROC indicator using [TA-Lib](https://github.com/TA-Lib/ta-lib-python):"
+    "Our strategy will involve ranking and buying stocks with the highest [price rate-of-change (ROC)](https://www.investopedia.com/terms/p/pricerateofchange.asp). To start, we'll define a 20-day ROC indicator using [TA-Lib](https://github.com/TA-Lib/ta-lib-python):"
    ]
   },
   {
@@ -82,7 +82,7 @@
    "id": "7350345c",
    "metadata": {},
    "source": [
-    "Next, we implement a ``rank`` function that ranks each stock by highest to lowest 20-day ROC:"
+    "To proceed with our strategy, we will implement a ``rank`` function that ranks each stock by their 20-day ROC in descending order, from highest to lowest."
    ]
   },
   {