use the df_hist for FetchForecast

app.py

@@ -50,7 +50,7 @@ def plot_stock(agent_instance, ticker):
         # fetch the forecasts
         dotenv.load_dotenv(dotenv.find_dotenv())
         df_hist = FetchData(ticker, fetchperiodinweeks=12).run()
-        df_past, df_fcst = FetchForecast(ticker).run()
+        df_past, df_fcst = FetchForecast(ticker, df_hist).run()
         # run the technical analysis
         _, fig = TechnicalAnalysis(
             ticker=ticker,

src/stock_analysis_agent.py

@@ -29,7 +29,7 @@ def get_stock_prices(
         The stock ticker symbol to fetch data for.
     """
     df_hist = FetchData(ticker, fetchperiodinweeks=12).run()
-    df_past, df_fcst = FetchForecast(ticker).run()
+    df_past, df_fcst = FetchForecast(ticker, df_hist).run()
     df, _ = TechnicalAnalysis(
         ticker=ticker,
         df_hist=df_hist,

src/technical_analysis.py

@@ -186,7 +186,7 @@ class TechnicalAnalysis():
             df_merged = pd.concat([df_hist, df_fcst], ignore_index=True)
             df_merged.set_index("Date", inplace=True)
         else:
-            df_merged = df
+            df_merged = df_hist
         return df_merged
 
     def plot_stock_metrics(
@@ -348,7 +348,7 @@ if __name__ == '__main__':
     from src.fetch_data import FetchData
     dotenv.load_dotenv(dotenv.find_dotenv())
     df_hist = FetchData(ticker, fetchperiodinweeks=12).run()
-    df_past, df_fcst = FetchForecast(ticker).run()
+    df_past, df_fcst = FetchForecast(ticker, df_hist).run()
     df, fig = TechnicalAnalysis(ticker, df_hist=df_hist, df_past=df_past, df_fcst=df_fcst, plot_ta=True, savefig=True, debug=False).run()
     # print(f'columns: {df.columns}')