Minor correction to tutorial

nbs/docs/use-cases/2_bitcoin_price_prediction.ipynb

@@ -856,7 +856,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "As stated in the introduction, predicting the future prices of financial assets is a challenging task, especially for assets like Bitcoin. The predictions in this tutorial seem very accurate, because we are doing historical forecasting. The real challenge is forecasting the price of Bitcoin for the upcoming days, not its historical price. For those who need or want to try to forecast these assets, `TimeGPT` can be an option that simplifies the forecasting process. With just a couple of lines of code, `TimeGPT` can help you: \n",
+    "As stated in the introduction, predicting the future prices of financial assets is a challenging task, especially for assets like Bitcoin. The predictions in this tutorial may appear accurate, mainly because they align with recent historical data and the model updates with new values at short intervals, avoiding significant deviations. However, the true challenge lies in forecasting Bitcoin's price for the upcoming days, not just its historical performance. For those who need or want to try to forecast these assets, `TimeGPT` can be an option that simplifies the forecasting process. With just a couple of lines of code, `TimeGPT` can help you: \n",
     "\n",
     "- Produce point forecasts \n",
     "- Quantify the uncertainty of your predictions \n",