Add top losers

gamestonk_terminal/discovery/disc_menu.py

@@ -29,6 +29,7 @@ def print_discovery():
     print("   map           S&P500 index stocks map [Finviz]")
     print("   sectors       show sectors performance [Alpha Vantage]")
     print("   gainers       show latest top gainers [Yahoo Finance]")
+    print("   losers        show latest top losers [Yahoo Finance]")
     print("   orders        orders by Fidelity Customers [Fidelity]")
     print("   ark_orders    orders by ARK Investment Management LLC")
     print("   up_earnings   upcoming earnings release dates [Seeking Alpha]")
@@ -56,6 +57,7 @@ def disc_menu():
         "map",
         "sectors",
         "gainers",
+        "losers",
         "spacs",
         "orders",
         "ark_orders",
@@ -111,6 +113,9 @@ def disc_menu():
         elif ns_known_args.cmd == "gainers":
             yahoo_finance_api.gainers(l_args)
 
+        elif ns_known_args.cmd == "losers":
+            yahoo_finance_api.losers(l_args)
+
         elif ns_known_args.cmd == "spachero":
             spachero_api.spachero(l_args)
 

gamestonk_terminal/discovery/yahoo_finance_api.py

@@ -7,7 +7,7 @@ def gainers(l_args):
     parser = argparse.ArgumentParser(
         add_help=False,
         prog="gainers",
-        description="Print up to 25 top ticker gainers in terminal. [Source: Yahoo Finance]",
+        description="Print up to 25 top ticker gainers. [Source: Yahoo Finance]",
     )
 
     parser.add_argument(
@@ -30,3 +30,32 @@ def gainers(l_args):
     )[0]
     print(df_gainers.head(ns_parser.n_gainers).to_string(index=False))
     print("")
+
+
+def losers(l_args):
+    parser = argparse.ArgumentParser(
+        add_help=False,
+        prog="losers",
+        description="Print up to 25 top ticker losers. [Source: Yahoo Finance]",
+    )
+
+    parser.add_argument(
+        "-n",
+        "--num",
+        action="store",
+        dest="n_losers",
+        type=int,
+        default=5,
+        choices=range(1, 25),
+        help="Number of the top losers stocks to retrieve.",
+    )
+
+    ns_parser = parse_known_args_and_warn(parser, l_args)
+    if not ns_parser:
+        return
+
+    df_losers = pd.read_html(
+        "https://finance.yahoo.com/screener/predefined/day_losers"
+    )[0]
+    print(df_losers.head(ns_parser.n_losers).to_string(index=False))
+    print("")