Move tests back one level. Update links to badges

.github/workflows/test.yml

@@ -68,7 +68,7 @@ jobs:
           MPLBACKEND: Agg
         run: |
           source $VENV
-          pytest gamestonk_terminal/tests/
+          pytest tests/
   tests:
     needs: test
     runs-on: ${{ matrix.os }}
@@ -116,4 +116,4 @@ jobs:
           MPLBACKEND: Agg
         run: |
           source $VENV
-          pytest gamestonk_terminal/tests/
+          pytest tests/

README.md

@@ -1,8 +1,8 @@
 
 # GamestonkTerminal 🚀
 
-[![Build Status](https://api.travis-ci.org/aia/GamestonkTerminal.svg?branch=main)](https://travis-ci.org/aia/GamestonkTerminal)
-[![GitHub release](https://img.shields.io/github/release/aia/GamestonkTerminal.svg?maxAge=3600)](https://github.com/aia/GamestonkTerminal/releases)
+[![Build Status](https://github.com/DidierRLopes/GamestonkTerminal/actions/workflows/test.yml/badge.svg?branch=main)](https://github.com/DidierRLopes/GamestonkTerminal/actions)
+[![GitHub release](https://img.shields.io/github/release/DidierRLopes/GamestonkTerminal.svg?maxAge=3600)](https://github.com/DidierRLopes/GamestonkTerminal/releases)
 [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
 
 ## About
@@ -74,7 +74,6 @@ Command|Description|Source
 `spachero`      |great website for SPACs research |[SpacHero](https://www.spachero.com/)
 `uwhales`       |good website for SPACs research |[UnusualWhales](https://unusualwhales.com/)
 
-
 ### [Market Sentiment](gamestonk_terminal/sentiment/README.md) <a name="Market_Sentiment"></a>
 
 Command|Description
@@ -196,7 +195,6 @@ Command|Explanation|Source
 `short`         |short interest |[Quandl](https://www.quandl.com/)
 `warnings`      |company warnings according to Sean Seah book |[MarketWatch](https://www.marketwatch.com/)
 
-
 ### [Prediction Techniques](gamestonk_terminal/prediction_techniques/README.md) <a name="Prediction_Techniques"></a>
 
 Command|Technique|Sources

terminal.py

@@ -451,18 +451,22 @@ def main():
                 b_quit = pm.pred_menu(df_stock, s_ticker, s_start, s_interval)
             # If stock data is intradaily, we need to get data again as prediction techniques work on daily adjusted data
             else:
-                ts = TimeSeries(key=cfg.API_KEY_ALPHAVANTAGE, output_format="pandas")
-
-                # pylint: disable=unbalanced-tuple-unpacking
-                df_stock_pred, _ = ts.get_daily_adjusted(
-                    symbol=s_ticker, outputsize="full"
-                )
-                # pylint: disable=no-member
-                df_stock_pred = df_stock_pred.sort_index(ascending=True)
-                df_stock_pred = df_stock_pred[s_start:]
-                b_quit = pm.pred_menu(
-                    df_stock_pred, s_ticker, s_start, s_interval="1440min"
-                )
+                try:
+                    ts = TimeSeries(
+                        key=cfg.API_KEY_ALPHAVANTAGE, output_format="pandas"
+                    )
+                    df_stock_pred, _ = ts.get_daily_adjusted(
+                        symbol=s_ticker, outputsize="full"
+                    )
+                    df_stock_pred = df_stock_pred.sort_index(ascending=True)
+                    df_stock_pred = df_stock_pred[s_start:]
+                    b_quit = pm.pred_menu(
+                        df_stock_pred, s_ticker, s_start, s_interval="1440min"
+                    )
+                except:
+                    print("Either the ticker or the API_KEY are invalids. Try again!")
+                    b_quit = False
+                    return
 
             if b_quit:
                 print(