diff --git a/xarizmi/examples/__init__.py b/xarizmi/examples/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/xarizmi/examples/download_yahoo_finance_data.py b/xarizmi/examples/download_yahoo_finance_data.py
new file mode 100644
index 0000000..cab4dcb
--- /dev/null
+++ b/xarizmi/examples/download_yahoo_finance_data.py
@@ -0,0 +1,44 @@
+# Download sample data for several stocks traded in Toronto Stock Exchange data
+
+import os
+import pathlib
+
+from xarizmi.opendata.yahoo_finance import YahooFinanceDailyDataClient
+
+SYMBOLS_LIST: list[str] = [
+    "T.TO",
+    "SHOP.TO",
+    "CNR.TO",
+    "CNQ.TO",
+    "ENB.TO",
+    "AC.TO",
+    "OTEX.TO",
+    "TRP.TO",
+    "TFII.TO",
+]
+
+
+def setup_data_directory() -> pathlib.Path:
+
+    data_directory = (
+        pathlib.Path(".")
+        / "data"
+        # / datetime.date.today().strftime("%Y-%m-%d")
+    )
+    if not data_directory.exists():
+        data_directory.mkdir(parents=True)
+
+    return data_directory
+
+
+def download_daily_symbols(parent_directory: pathlib.Path) -> None:
+    for symbol in SYMBOLS_LIST:
+        YahooFinanceDailyDataClient.download_full_data(
+            symbol=symbol,
+            filepath=os.path.join(parent_directory, symbol + ".json"),
+        )
+
+
+def main() -> None:
+    data_directory = setup_data_directory()
+    download_daily_symbols(data_directory)
diff --git a/xarizmi/opendata/yahoo_finance.py b/xarizmi/opendata/yahoo_finance.py
index fdf0872..0079a14 100644
--- a/xarizmi/opendata/yahoo_finance.py
+++ b/xarizmi/opendata/yahoo_finance.py
@@ -1,8 +1,6 @@
 """A client to download Yahoo Finance data
 """
 
-from datetime import datetime
-
 import pandas as pd
 import yfinance as yf
 
@@ -37,7 +35,7 @@ def extract(self) -> list[dict[str, str | float | pd.Timestamp]] | None:
 
     def transform(
         self, data_list: list[dict[str, str | float | pd.Timestamp]]
-    ) -> list[dict[str, str | float | datetime | dict[str, dict[str, str]]]]:
+    ) -> CandlestickChart:
         candles_data = []
         for single_candle_data in data_list:
             temp = {}
@@ -54,22 +52,30 @@ def transform(
                 "fee_currency": {"name": "CAD"},
             }  # type: ignore
             candles_data.append(temp)
-        return candles_data  # type: ignore
+        return CandlestickChart.model_validate({"candles": candles_data})
 
     def save_file(
         self,
-        candles_data: list[
-            dict[str, str | float | datetime | dict[str, dict[str, str]]]
-        ],
+        candlestick_chart: CandlestickChart,
         filepath: str,
         indent: int = 4,
     ) -> None:
-        candles = CandlestickChart.model_validate({"candles": candles_data})
         with open(filepath, "w") as f:
-            f.write(candles.model_dump_json(indent=indent))
+            f.write(candlestick_chart.model_dump_json(indent=indent))
 
-    def etl(self, filepath: str) -> None:
+    def etl(self, filepath: str) -> CandlestickChart:
         data_list = self.extract()
         if data_list:
-            candles_data = self.transform(data_list=data_list)
-            self.save_file(candles_data=candles_data, filepath=filepath)
+            candlestick_chart = self.transform(data_list=data_list)
+            self.save_file(
+                candlestick_chart=candlestick_chart, filepath=filepath
+            )
+            return candlestick_chart
+        else:
+            return CandlestickChart(candles=[])
+
+    @staticmethod
+    def download_full_data(symbol: str, filepath: str) -> CandlestickChart:
+        client = YahooFinanceDailyDataClient(symbol=symbol)
+        candlestick_chart = client.etl(filepath=filepath)
+        return candlestick_chart