ETF tests (#1208)

* etf tests for stockanalysis

* add financedatabase etf tests

* fix financedatabase etf documentation

* yfinance etf tests

* add etf/discovery tests

* add tests to etf/screener

* add etf controller tests

* add etf/ta tests

* remove tabulate and use rich table

* etf/pred

* add more etf tests, thanks Chavi

* update about us website

* Updating tests : etf

Co-authored-by: Chavithra PARANA <chavithra@gmail.com>

gamestonk_terminal/common/prediction_techniques/pred_helper.py

@@ -18,7 +18,6 @@ from sklearn.metrics import (
 )
 from sklearn.model_selection import train_test_split
 from sklearn.preprocessing import StandardScaler, MinMaxScaler, Normalizer
-from tabulate import tabulate
 from tensorflow.keras.models import Sequential
 from gamestonk_terminal.helper_funcs import (
     check_positive,
@@ -26,6 +25,7 @@ from gamestonk_terminal.helper_funcs import (
     parse_known_args_and_warn,
     valid_date,
     plot_autoscale,
+    rich_table_from_df,
 )
 from gamestonk_terminal import config_neural_network_models as cfg
 from gamestonk_terminal import feature_flags as gtff
@@ -563,8 +563,16 @@ def print_pretty_prediction(df_pred: pd.DataFrame, last_price: float):
             df_pred["pred"] = df_pred["pred"].apply(
                 lambda x: price_prediction_color(x, last_val=last_price)
             )
-            console.print("Prediction:")
-            print(tabulate(df_pred, headers=["Prediction"], tablefmt="fancy_grid"))
+            console.print(
+                rich_table_from_df(
+                    df_pred,
+                    show_index=True,
+                    title="Predictions",
+                    index_name="Datetime",
+                    headers=["Prediction"],
+                    floatfmt=".2f",
+                )
+            )
 
         else:
 
@@ -576,8 +584,16 @@ def print_pretty_prediction(df_pred: pd.DataFrame, last_price: float):
         if gtff.USE_TABULATE_DF:
             df_pred = pd.DataFrame(df_pred)
             df_pred.columns = ["pred"]
-            console.print("Prediction:")
-            print(tabulate(df_pred, headers=["Prediction"], tablefmt="fancy_grid"))
+            console.print(
+                rich_table_from_df(
+                    df_pred,
+                    show_index=True,
+                    title="Predictions",
+                    index_name="Datetime",
+                    headers=["Prediction"],
+                    floatfmt=".2f",
+                )
+            )
         else:
             console.print(f"Actual price: {last_price:.2f} $\n")
             console.print("Prediction:")
@@ -615,11 +631,18 @@ def print_prediction_kpis(real: np.ndarray, pred: np.ndarray):
         "RMSE": f"{mean_squared_error(real, pred, squared=False):.3f}",
     }
 
-    console.print("KPIs")
     df = pd.DataFrame.from_dict(kpis, orient="index")
     if gtff.USE_TABULATE_DF:
-        print(tabulate(df, tablefmt="fancy_grid", showindex=True))
+        console.print(
+            rich_table_from_df(
+                df,
+                show_index=True,
+                title="KPIs",
+                floatfmt=".2f",
+            )
+        )
     else:
+        console.print("KPIs")
         console.print(df.to_string())
 
 

gamestonk_terminal/etf/discovery/wsj_model.py

@@ -11,7 +11,7 @@ def etf_movers(sort_type: str = "gainers") -> pd.DataFrame:
     Parameters
     ----------
     sort_type: str
-        Data to get.  Can be "gainers", "decliners" or "activity
+        Data to get.  Can be "gainers", "decliners" or "active"
 
     Returns
     -------
@@ -34,25 +34,30 @@ def etf_movers(sort_type: str = "gainers") -> pd.DataFrame:
             "https://www.wsj.com/market-data/mutualfunds-etfs/etfmovers?id=%7B%22application"
             "%22%3A%22WSJ%22%2C%22etfMover%22%3A%22most_active%22%2C%22count%22%3A25%7D&type=mdc_etfmovers"
         )
+    else:
+        url = ""
 
-    data = requests.get(url, headers={"User-Agent": get_user_agent()}).json()
-    name, last_price, net_change, percent_change, volume = [], [], [], [], []
+    if url:
+        data = requests.get(url, headers={"User-Agent": get_user_agent()}).json()
+        name, last_price, net_change, percent_change, volume = [], [], [], [], []
 
-    for entry in data["data"]["instruments"]:
-        name.append(entry["name"])
-        last_price.append(entry["lastPrice"])
-        net_change.append(entry["priceChange"])
-        percent_change.append(entry["percentChange"])
-        volume.append(entry["formattedVolume"])
+        for entry in data["data"]["instruments"]:
+            name.append(entry["name"])
+            last_price.append(entry["lastPrice"])
+            net_change.append(entry["priceChange"])
+            percent_change.append(entry["percentChange"])
+            volume.append(entry["formattedVolume"])
 
-    etfmovers = pd.DataFrame(
-        {
-            " ": name,
-            "Price": last_price,
-            "Chg": net_change,
-            "%Chg": percent_change,
-            "Vol": volume,
-        }
-    )
+        etfmovers = pd.DataFrame(
+            {
+                " ": name,
+                "Price": last_price,
+                "Chg": net_change,
+                "%Chg": percent_change,
+                "Vol": volume,
+            }
+        )
 
-    return etfmovers
+        return etfmovers
+
+    return pd.DataFrame()

gamestonk_terminal/etf/etf_controller.py

@@ -414,6 +414,7 @@ class ETFController(BaseController):
         )
         if ns_parser:
             if self.etf_name:
+                # TODO: Should be done in one function
                 data = stocks_helper.process_candle(self.etf_data)
                 df_etf = stocks_helper.find_trendline(data, "OC_High", "high")
                 df_etf = stocks_helper.find_trendline(data, "OC_Low", "low")
@@ -506,9 +507,9 @@ class ETFController(BaseController):
             other_args.insert(0, "-e")
         ns_parser = parse_known_args_and_warn(parser, other_args)
         if ns_parser:
-            if self.etf_name:
+            if ns_parser.names:
                 create_ETF_report(
-                    ns_parser.names if ns_parser.names else [self.etf_name],
+                    ns_parser.names,
                     filename=ns_parser.filename,
                     folder=ns_parser.folder,
                 )
@@ -571,7 +572,7 @@ class ETFController(BaseController):
 
     def call_ta(self, _):
         """Process ta command"""
-        if self.etf_name:
+        if self.etf_name and not self.etf_data.empty:
             self.queue = self.load_class(
                 ta_controller.TechnicalAnalysisController,
                 self.etf_name,

gamestonk_terminal/etf/financedatabase_model.py

@@ -15,8 +15,8 @@ def get_etfs_by_name(name: str) -> Dict:
 
     Returns
     ----------
-    data : pd.DataFrame
-        Dataframe with ETFs that match a certain name
+    data : Dict
+        Dictionary with ETFs that match a certain name
     """
     data = fd.select_etfs()
     data = fd.search_products(data, query=name, search="long_name")
@@ -34,8 +34,8 @@ def get_etfs_by_description(description: str) -> Dict:
 
     Returns
     ----------
-    data : pd.DataFrame
-        Dataframe with ETFs that match a certain description
+    data : Dict
+        Dictionary with ETFs that match a certain description
     """
     data = fd.select_etfs()
     data = fd.search_products(data, query=description, search="summary")
@@ -53,8 +53,8 @@ def get_etfs_by_category(category: str) -> Dict:
 
     Returns
     ----------
-    data : pd.DataFrame
-        Dataframe with ETFs that match a certain description
+    data : Dict
+        Dictionary with ETFs that match a certain description
     """
     data = fd.select_etfs(category=category)
 

gamestonk_terminal/etf/prediction_techniques/pred_controller.py

@@ -57,20 +57,18 @@ class PredictionTechniquesController(BaseController):
         ticker: str,
         start: datetime,
         interval: str,
-        stock: pd.DataFrame,
+        data: pd.DataFrame,
         queue: List[str] = None,
     ):
         """Constructor"""
         super().__init__(queue)
 
-        stock["Returns"] = stock["Adj Close"].pct_change()
-        stock["LogRet"] = np.log(stock["Adj Close"]) - np.log(
-            stock["Adj Close"].shift(1)
-        )
-        stock = stock.rename(columns={"Adj Close": "AdjClose"})
-        stock = stock.dropna()
+        data["Returns"] = data["Adj Close"].pct_change()
+        data["LogRet"] = np.log(data["Adj Close"]) - np.log(data["Adj Close"].shift(1))
+        data = data.rename(columns={"Adj Close": "AdjClose"})
+        data = data.dropna()
 
-        self.stock = stock
+        self.data = data
         self.ticker = ticker
         self.start = start
         self.interval = interval
@@ -79,7 +77,7 @@ class PredictionTechniquesController(BaseController):
         if session and gtff.USE_PROMPT_TOOLKIT:
             choices: dict = {c: {} for c in self.controller_choices}
             choices["load"]["-r"] = {c: {} for c in stocks_helper.INTERVALS}
-            choices["pick"] = {c: {} for c in self.stock.columns}
+            choices["pick"] = {c: {} for c in self.data.columns}
             choices["ets"]["-t"] = {c: {} for c in ets_model.TRENDS}
             choices["ets"]["-s"] = {c: {} for c in ets_model.SEASONS}
             choices["arima"]["-i"] = {c: {} for c in arima_model.ICS}
@@ -195,7 +193,7 @@ class PredictionTechniquesController(BaseController):
             )
 
             if not df_stock_candidate.empty:
-                self.stock = df_stock_candidate
+                self.data = df_stock_candidate
                 if "." in ns_parser.ticker:
                     self.ticker = ns_parser.ticker.upper().split(".")[0]
                 else:
@@ -204,12 +202,12 @@ class PredictionTechniquesController(BaseController):
                 self.start = ns_parser.start
                 self.interval = str(ns_parser.interval) + "min"
 
-                self.stock["Returns"] = self.stock["Adj Close"].pct_change()
-                self.stock["LogRet"] = np.log(self.stock["Adj Close"]) - np.log(
-                    self.stock["Adj Close"].shift(1)
+                self.data["Returns"] = self.data["Adj Close"].pct_change()
+                self.data["LogRet"] = np.log(self.data["Adj Close"]) - np.log(
+                    self.data["Adj Close"].shift(1)
                 )
-                self.stock = self.stock.rename(columns={"Adj Close": "AdjClose"})
-                self.stock = self.stock.dropna()
+                self.data = self.data.rename(columns={"Adj Close": "AdjClose"})
+                self.data = self.data.dropna()
 
     def call_pick(self, other_args: List[str]):
         """Process pick command"""
@@ -225,7 +223,7 @@ class PredictionTechniquesController(BaseController):
             "-t",
             "--target",
             dest="target",
-            choices=list(self.stock.columns),
+            choices=list(self.data.columns),
             help="Select variable to analyze",
         )
         if other_args and "-t" not in other_args and "-h" not in other_args:
@@ -312,13 +310,13 @@ class PredictionTechniquesController(BaseController):
 
             if ns_parser.s_end_date:
 
-                if ns_parser.s_end_date < self.stock.index[0]:
+                if ns_parser.s_end_date < self.data.index[0]:
                     console.print(
                         "Backtesting not allowed, since End Date is older than Start Date of historical data\n"
                     )
 
                 if ns_parser.s_end_date < get_next_stock_market_days(
-                    last_stock_day=self.stock.index[0],
+                    last_stock_day=self.data.index[0],
                     n_next_days=5 + ns_parser.n_days,
                 )[-1]:
                     console.print(
@@ -327,7 +325,7 @@ class PredictionTechniquesController(BaseController):
 
             ets_view.display_exponential_smoothing(
                 ticker=self.ticker,
-                values=self.stock[self.target],
+                values=self.data[self.target],
                 n_predict=ns_parser.n_days,
                 trend=ns_parser.trend,
                 seasonal=ns_parser.seasonal,
@@ -414,7 +412,7 @@ class PredictionTechniquesController(BaseController):
         if ns_parser:
             knn_view.display_k_nearest_neighbors(
                 ticker=self.ticker,
-                data=self.stock[self.target],
+                data=self.data[self.target],
                 n_neighbors=ns_parser.n_neighbors,
                 n_input_days=ns_parser.n_inputs,
                 n_predict_days=ns_parser.n_days,
@@ -493,13 +491,13 @@ class PredictionTechniquesController(BaseController):
         if ns_parser:
             # BACKTESTING CHECK
             if ns_parser.s_end_date:
-                if ns_parser.s_end_date < self.stock.index[0]:
+                if ns_parser.s_end_date < self.data.index[0]:
                     console.print(
                         "Backtesting not allowed, since End Date is older than Start Date of historical data\n"
                     )
 
                 if ns_parser.s_end_date < get_next_stock_market_days(
-                    last_stock_day=self.stock.index[0],
+                    last_stock_day=self.data.index[0],
                     n_next_days=5 + ns_parser.n_days,
                 )[-1]:
                     console.print(
@@ -508,7 +506,7 @@ class PredictionTechniquesController(BaseController):
 
             regression_view.display_regression(
                 dataset=self.ticker,
-                values=self.stock[self.target],
+                values=self.data[self.target],
                 poly_order=ns_parser.n_polynomial,
                 n_input=ns_parser.n_inputs,
                 n_predict=ns_parser.n_days,
@@ -594,13 +592,13 @@ class PredictionTechniquesController(BaseController):
             # BACKTESTING CHECK
             if ns_parser.s_end_date:
 
-                if ns_parser.s_end_date < self.stock.index[0]:
+                if ns_parser.s_end_date < self.data.index[0]:
                     console.print(
                         "Backtesting not allowed, since End Date is older than Start Date of historical data\n"
                     )
 
                 if ns_parser.s_end_date < get_next_stock_market_days(
-                    last_stock_day=self.stock.index[0],
+                    last_stock_day=self.data.index[0],
                     n_next_days=5 + ns_parser.n_days,
                 )[-1]:
                     console.print(
@@ -609,7 +607,7 @@ class PredictionTechniquesController(BaseController):
 
             arima_view.display_arima(
                 dataset=self.ticker,
-                values=self.stock[self.target],
+                values=self.data[self.target],
                 arima_order=ns_parser.s_order,
                 n_predict=ns_parser.n_days,
                 seasonal=ns_parser.b_seasonal,
@@ -630,7 +628,7 @@ class PredictionTechniquesController(BaseController):
             if ns_parser:
                 neural_networks_view.display_mlp(
                     dataset=self.ticker,
-                    data=self.stock[self.target],
+                    data=self.data[self.target],
                     n_input_days=ns_parser.n_inputs,
                     n_predict_days=ns_parser.n_days,
                     learning_rate=ns_parser.lr,
@@ -657,7 +655,7 @@ class PredictionTechniquesController(BaseController):
             if ns_parser:
                 neural_networks_view.display_rnn(
                     dataset=self.ticker,
-                    data=self.stock[self.target],
+                    data=self.data[self.target],
                     n_input_days=ns_parser.n_inputs,
                     n_predict_days=ns_parser.n_days,
                     learning_rate=ns_parser.lr,
@@ -685,7 +683,7 @@ class PredictionTechniquesController(BaseController):
             if ns_parser:
                 neural_networks_view.display_lstm(
                     dataset=self.ticker,
-                    data=self.stock[self.target],
+                    data=self.data[self.target],
                     n_input_days=ns_parser.n_inputs,
                     n_predict_days=ns_parser.n_days,
                     learning_rate=ns_parser.lr,
@@ -713,7 +711,7 @@ class PredictionTechniquesController(BaseController):
             if ns_parser:
                 neural_networks_view.display_conv1d(
                     dataset=self.ticker,
-                    data=self.stock[self.target],
+                    data=self.data[self.target],
                     n_input_days=ns_parser.n_inputs,
                     n_predict_days=ns_parser.n_days,
                     learning_rate=ns_parser.lr,
@@ -771,7 +769,7 @@ class PredictionTechniquesController(BaseController):
                 console.print("MC Prediction designed for AdjClose prices\n")
 
             mc_view.display_mc_forecast(
-                data=self.stock[self.target],
+                data=self.data[self.target],
                 n_future=ns_parser.n_days,
                 n_sims=ns_parser.n_sims,
                 use_log=ns_parser.dist == "lognormal",

gamestonk_terminal/etf/technical_analysis/ta_controller.py

@@ -363,7 +363,7 @@ class TechnicalAnalysisController(BaseController):
             overlap_view.view_ma(
                 ma_type="ZLMA",
                 s_ticker=self.ticker,
-                values=self.data["Adj  Close"],
+                values=self.data["Adj Close"],
                 length=ns_parser.n_length,
                 offset=ns_parser.n_offset,
                 export=ns_parser.export,

gamestonk_terminal/stocks/stocks_helper.py

@@ -171,6 +171,7 @@ def load(
             # Check that loading a stock was not successful
             # pylint: disable=no-member
             if df_stock_candidate.empty:
+                console.print("")
                 return pd.DataFrame()
 
             df_stock_candidate.index = df_stock_candidate.index.tz_localize(None)
@@ -195,6 +196,7 @@ def load(
 
             # Check that loading a stock was not successful
             if df_stock_candidate.empty:
+                console.print("")
                 return pd.DataFrame()
 
             df_stock_candidate.index.name = "date"
@@ -207,6 +209,7 @@ def load(
 
             # Check that loading a stock was not successful
             if df_stock_candidate.empty:
+                console.print("")
                 return pd.DataFrame()
 
             df_stock_candidate = df_stock_candidate[
@@ -246,6 +249,7 @@ def load(
 
         # Check that loading a stock was not successful
         if df_stock_candidate.empty:
+            console.print("")
             return pd.DataFrame()
 
         df_stock_candidate.index = df_stock_candidate.index.tz_localize(None)
@@ -264,6 +268,7 @@ def load(
         f"with starting period {s_start.strftime('%Y-%m-%d')} for analysis.",
     )
 
+    console.print("")
     return df_stock_candidate
 
 

gamestonk_terminal/terminal_helper.py

@@ -360,7 +360,7 @@ def about_us():
         "\n"
         "[cyan]Join our community on discord: [/cyan]https://discord.gg/Up2QGbMKHY\n"
         "[cyan]Follow our twitter for updates: [/cyan]https://twitter.com/gamestonkt\n"
-        "[cyan]Access our landing page: [/cyan]https://gamestonkterminal.vercel.app\n"
+        "[cyan]Access our landing page: [/cyan]https://gamestonkterminal.github.io/GamestonkTerminal/\n"
         "\n"
         "[yellow]Partnerships:[/yellow]]\n"
         "[cyan]FinBrain: [/cyan]https://finbrain.tech\n"
@@ -373,7 +373,7 @@ def about_us():
         "markets, carefully consider your investment objectives, level of experience, and risk appetite, and seek "
         "professional advice where needed. The data contained in Gamestonk Terminal (GST) is not necessarily accurate. "
         "GST and any provider of the data contained in this website will not accept liability for any loss or damage "
-        "as a result of your trading, or your reliance on the information displayed.[/red]"
+        "as a result of your trading, or your reliance on the information displayed.[/red]\n"
     )
 
 

tests/gamestonk_terminal/etf/cassettes/test_etf_controller/test_call_candle.yaml

@@ -0,0 +1,348 @@
+interactions:
+- request:
+    body: null
+    headers:
+      Accept:
+      - '*/*'
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      User-Agent:
+      - Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_1) AppleWebKit/537.36 (KHTML,
+        like Gecko) Chrome/39.0.2171.95 Safari/537.36
+    method: GET
+    uri: https://query2.finance.yahoo.com/v8/finance/chart/ARKW?period1=MOCK_PERIOD_1&period2=MOCK_PERIOD_2&interval=1d&includePrePost=False&events=div%2Csplits
+  response:
+    body:
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+    headers:
+      Age:
+      - '0'
+      Connection:
+      - keep-alive
+      Expect-CT:
+      - max-age=31536000, report-uri="http://csp.yahoo.com/beacon/csp?src=yahoocom-expect-ct-report-only"
+      Referrer-Policy:
+      - no-referrer-when-downgrade
+      Strict-Transport-Security:
+      - max-age=15552000
+      X-Content-Type-Options:
+      - nosniff
+      X-Frame-Options:
+      - SAMEORIGIN
+      X-XSS-Protection:
+      - 1; mode=block
+      cache-control:
+      - public, max-age=10, stale-while-revalidate=20
+      content-length:
+      - '1157'
+      content-type:
+      - application/json;charset=utf-8
+      date:
+      - Thu, 20 Jan 2022 16:06:30 GMT
+      server:
+      - ATS
+      vary:
+      - Origin,Accept-Encoding
+      x-envoy-decorator-operation:
+      - finance-chart-api--mtls-production-ir2.finance-k8s.svc.yahoo.local:4080/*
+      x-envoy-upstream-service-time:
+      - '13'
+      x-request-id:
+      - 233a77be-ba62-4f6f-b948-6436c4ceb0d5
+      x-yahoo-request-id:
+      - 3sml3bhguj246
+      y-rid:
+      - 3sml3bhguj246
+    status:
+      code: 200
+      message: OK
+- request:
+    body: null
+    headers:
+      Accept:
+      - '*/*'
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      User-Agent:
+      - Mozilla/5.0 (Windows NT 6.1; WOW64; rv:86.1) Gecko/20100101 Firefox/86.1
+    method: GET
+    uri: https://stockanalysis.com/etf/ARKW/holdings/
+  response:
+    body:
+      string: !!binary |
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tests/gamestonk_terminal/etf/cassettes/test_etf_controller/test_call_load.yaml

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tests/gamestonk_terminal/etf/cassettes/test_financedatabase_model/test_get_all_names_symbols.yaml

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tests/gamestonk_terminal/etf/cassettes/test_financedatabase_model/test_get_etfs_by_category[Bank Loan].yaml

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+      Connection:
+      - keep-alive
+      Content-Encoding:
+      - gzip
+      Content-Type:
+      - text/html; charset=utf-8
+      Transfer-Encoding:
+      - chunked
+      age:
+      - '0'
+      cache-control:
+      - public, max-age=0, must-revalidate
+      date:
+      - Tue, 18 Jan 2022 21:59:37 GMT
+      etag:
+      - W/"15a29-exknOd69lphhRVUJkWTe3rInqy4"
+      server:
+      - Vercel
+      strict-transport-security:
+      - max-age=63072000
+      x-frame-options:
+      - sameorigin
+      x-matched-path:
+      - /etf/[symbol]
+      x-powered-by:
+      - Next.js
+      x-vercel-cache:
+      - MISS
+      x-vercel-id:
+      - lhr1::iad1::td6q8-1642543176672-05647c035c06
+    status:
+      code: 200
+      message: OK
+version: 1

tests/gamestonk_terminal/etf/cassettes/test_stockanalysis_model/test_compare_etfs[symbols1].yaml

@@ -0,0 +1,910 @@
+interactions:
+- request:
+    body: null
+    headers:
+      Accept:
+      - '*/*'
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+    method: GET
+    uri: https://stockanalysis.com/etf/ARKK
+  response:
+    body:
+      string: 'Redirecting to /etf/ARKK/ (308)
+
+        '
+    headers:
+      Connection:
+      - keep-alive
+      Content-Type:
+      - text/plain
+      Date:
+      - Tue, 18 Jan 2022 21:59:37 GMT
+      Refresh:
+      - 0;url=/etf/ARKK/
+      Transfer-Encoding:
+      - chunked
+      cache-control:
+      - public, max-age=0, must-revalidate
+      location:
+      - /etf/ARKK/
+      server:
+      - Vercel
+      strict-transport-security:
+      - max-age=63072000
+      x-vercel-cache:
+      - MISS
+      x-vercel-id:
+      - lhr1::5ncxn-1642543177761-35282837b4a8
+    status:
+      code: 308
+      message: Permanent Redirect
+- request:
+    body: null
+    headers:
+      Accept:
+      - '*/*'
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+    method: GET
+    uri: https://stockanalysis.com/etf/ARKK/
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+      cache-control:
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+      date:
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+      etag:
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+      server:
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+      strict-transport-security:
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+      x-frame-options:
+      - sameorigin
+      x-matched-path:
+      - /etf/[symbol]
+      x-powered-by:
+      - Next.js
+      x-vercel-cache:
+      - MISS
+      x-vercel-id:
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+    status:
+      code: 200
+      message: OK
+version: 1

tests/gamestonk_terminal/etf/cassettes/test_stockanalysis_model/test_get_etf_holdings[ARKQ].yaml

@@ -0,0 +1,284 @@
+interactions:
+- request:
+    body: null
+    headers:
+      Accept:
+      - '*/*'
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+    method: GET
+    uri: https://stockanalysis.com/etf/ARKQ/holdings/
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+        M0nDdH17c/I/AAAA//8DAI61KiryqAAA
+    headers:
+      Connection:
+      - keep-alive
+      Content-Encoding:
+      - gzip
+      Content-Type:
+      - text/html; charset=utf-8
+      Transfer-Encoding:
+      - chunked
+      age:
+      - '0'
+      cache-control:
+      - public, max-age=0, must-revalidate
+      date:
+      - Tue, 18 Jan 2022 21:59:34 GMT
+      etag:
+      - W/"a8f2-E1twDItiVMqI231LIJJ3gCI/R1M"
+      server:
+      - Vercel
+      strict-transport-security:
+      - max-age=63072000
+      x-frame-options:
+      - sameorigin
+      x-matched-path:
+      - /etf/[symbol]/holdings
+      x-powered-by:
+      - Next.js
+      x-vercel-cache:
+      - MISS
+      x-vercel-id:
+      - lhr1::iad1::gh5f6-1642543173873-400566437795
+    status:
+      code: 200
+      message: OK
+version: 1

tests/gamestonk_terminal/etf/cassettes/test_stockanalysis_model/test_get_etf_holdings[ARKW].yaml

@@ -0,0 +1,281 @@
+interactions:
+- request:
+    body: null
+    headers:
+      Accept:
+      - '*/*'
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+    method: GET
+    uri: https://stockanalysis.com/etf/ARKW/holdings/
+  response:
+    body:
+      string: !!binary |
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+        /wMAeQU/CYunAAA=
+    headers:
+      Connection:
+      - keep-alive
+      Content-Encoding:
+      - gzip
+      Content-Type:
+      - text/html; charset=utf-8
+      Transfer-Encoding:
+      - chunked
+      age:
+      - '0'
+      cache-control:
+      - public, max-age=0, must-revalidate
+      date:
+      - Tue, 18 Jan 2022 21:59:35 GMT
+      etag:
+      - W/"a78b-pW/ZmzweyEwqDyP8A9kZ4ZGHdQE"
+      server:
+      - Vercel
+      strict-transport-security:
+      - max-age=63072000
+      x-frame-options:
+      - sameorigin
+      x-matched-path:
+      - /etf/[symbol]/holdings
+      x-powered-by:
+      - Next.js
+      x-vercel-cache:
+      - MISS
+      x-vercel-id:
+      - lhr1::iad1::nd4g8-1642543175003-47cb0f00a194
+    status:
+      code: 200
+      message: OK
+version: 1

tests/gamestonk_terminal/etf/cassettes/test_stockanalysis_view/test_view_holdings[ARKQ].yaml

@@ -0,0 +1,284 @@
+interactions:
+- request:
+    body: null
+    headers:
+      Accept:
+      - '*/*'
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+    method: GET
+    uri: https://stockanalysis.com/etf/ARKQ/holdings/
+  response:
+    body:
+      string: !!binary |
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+    headers:
+      Connection:
+      - keep-alive
+      Content-Encoding:
+      - gzip
+      Content-Type:
+      - text/html; charset=utf-8
+      Transfer-Encoding:
+      - chunked
+      age:
+      - '0'
+      cache-control:
+      - public, max-age=0, must-revalidate
+      date:
+      - Tue, 18 Jan 2022 22:51:02 GMT
+      etag:
+      - W/"a8f2-E1twDItiVMqI231LIJJ3gCI/R1M"
+      server:
+      - Vercel
+      strict-transport-security:
+      - max-age=63072000
+      x-frame-options:
+      - sameorigin
+      x-matched-path:
+      - /etf/[symbol]/holdings
+      x-powered-by:
+      - Next.js
+      x-vercel-cache:
+      - MISS
+      x-vercel-id:
+      - lhr1::iad1::6k9lr-1642546262485-3e4f7ecb4634
+    status:
+      code: 200
+      message: OK
+version: 1

tests/gamestonk_terminal/etf/cassettes/test_stockanalysis_view/test_view_holdings[ARKW].yaml

@@ -0,0 +1,281 @@
+interactions:
+- request:
+    body: null
+    headers:
+      Accept:
+      - '*/*'
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+    method: GET
+    uri: https://stockanalysis.com/etf/ARKW/holdings/
+  response:
+    body:
+      string: !!binary |
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tests/gamestonk_terminal/etf/csv/test_stockanalysis_model/test_compare_etfs[symbols0].csv

@@ -0,0 +1,15 @@
+,ARKQ,ARKW
+Assets,$1.90B,$3.12B
+NAV,$70.82,$103.00
+Expense Ratio,0.75%,0.79%
+PE Ratio,28.59,50.48
+Shares Out,26.80M,30.25M
+Dividend (ttm),$0.61,$3.12
+Dividend Yield,0.87%,3.04%
+Volume,"621,151","2,026,375"
+Open,69.50,100.61
+Previous Close,70.76,102.98
+52-Week Low,68.66,98.75
+52-Week High,68.66,98.75
+Beta,1.30,1.41
+Holdings,39,43

tests/gamestonk_terminal/etf/csv/test_stockanalysis_model/test_compare_etfs[symbols1].csv

@@ -0,0 +1,15 @@
+,ARKK,ARKF
+Assets,$13.23B,$1.77B
+NAV,$80.08,$35.37
+Expense Ratio,0.75%,0.75%
+PE Ratio,n/a,43.05
+Shares Out,165.25M,50.10M
+Dividend (ttm),$0.26,n/a
+Dividend Yield,0.34%,n/a
+Volume,"23,301,484","1,527,657"
+Open,78.74,34.10
+Previous Close,80.24,35.02
+52-Week Low,76.91,33.30
+52-Week High,76.91,33.30
+Beta,1.58,1.24
+Holdings,44,39

tests/gamestonk_terminal/etf/csv/test_stockanalysis_model/test_get_etf_holdings[ARKQ].csv

@@ -0,0 +1,40 @@
+,% Of Etf,Shares
+TSLA,10.65%,"196,846"
+PATH,7.75%,"3,927,868"
+TRMB,7.16%,"1,797,163"
+KTOS,6.58%,"7,253,960"
+IRDM,4.86%,"2,459,364"
+KMTUY,4.49%,"3,260,777"
+DE,3.90%,"195,439"
+DDD,3.62%,"3,525,947"
+U,3.37%,"550,713"
+TSP,2.80%,"2,092,013"
+MG.TO,2.78%,"592,172"
+MKFG,2.61%,"9,605,894"
+AVAV,2.60%,"815,916"
+PLTR,2.49%,"2,970,570"
+NIU,2.37%,"3,072,134"
+TER,2.31%,"278,592"
+BLDE,2.11%,"5,968,836"
+GOOG,1.99%,"13,632"
+ACHR,1.90%,"9,011,467"
+ESLT.TA,1.82%,"197,474"
+XPEV,1.69%,"677,301"
+CAT,1.65%,"138,503"
+VLD,1.61%,"5,500,431"
+NNDM,1.60%,"8,408,342"
+BIDU,1.58%,"197,014"
+LMT,1.53%,"79,724"
+MTLS,1.38%,"1,277,435"
+TDY,1.35%,"60,980"
+SSYS,1.26%,"1,008,786"
+PRLB,1.22%,"466,428"
+ISRG,1.19%,"72,533"
+ANSS,1.14%,"61,571"
+VUZI,1.09%,"2,718,273"
+SNPS,1.08%,"62,760"
+BYDDY,1.03%,"296,935"
+n/a,0.75%,"14,298,046"
+TWOU,0.65%,"759,559"
+JD,0.03%,"7,070"
+ONVO,0.02%,"113,180"

tests/gamestonk_terminal/etf/csv/test_stockanalysis_model/test_get_etf_holdings[ARKW].csv

@@ -0,0 +1,44 @@
+,% Of Etf,Shares
+COIN,7.63%,"1,052,066"
+TSLA,7.22%,"220,222"
+GBTC,6.59%,"6,803,551"
+ZM,5.51%,"1,069,741"
+SPOT,5.36%,"744,393"
+ROKU,5.33%,"996,120"
+TDOC,4.95%,"1,985,632"
+TWTR,4.89%,"3,980,112"
+TWLO,4.47%,"648,097"
+SHOP,3.69%,"109,216"
+SQ,3.59%,"825,403"
+U,3.36%,"907,280"
+DKNG,3.26%,"4,234,973"
+RBLX,3.24%,"1,272,235"
+SPLK,3.18%,"830,456"
+PATH,2.92%,"2,445,211"
+SE,1.94%,"338,001"
+HOOD,1.88%,"3,872,355"
+PLTR,1.86%,"3,651,842"
+PD,1.56%,"1,597,777"
+DIS,1.23%,"249,662"
+SKLZ,1.23%,"6,431,438"
+ETSY,1.21%,"228,448"
+MELI,1.19%,"33,062"
+OKTA,1.19%,"185,045"
+NET,1.16%,"367,665"
+VUZI,1.15%,"4,742,098"
+n/a,1.07%,"33,720,971"
+CND,1.06%,"3,317,062"
+VCYT,1.05%,"1,123,022"
+GENI,1.05%,"4,994,787"
+NNDM,1.00%,"8,651,809"
+KIND,0.92%,"4,585,586"
+ADYEY,0.89%,"1,292,951"
+TWOU,0.65%,"1,255,439"
+EDR,0.54%,"529,921"
+NU,0.49%,"1,794,527"
+MNDY,0.45%,"64,807"
+DOCU,0.01%,"2,421"
+PTON,0.01%,"9,636"
+SNAP,0.01%,"7,810"
+LPSN,0.00%,272
+SNOW,0.00%,91

tests/gamestonk_terminal/etf/csv/test_stockanalysis_model/test_get_etfs_by_name[oil].csv

@@ -0,0 +1,21 @@
+,Symbol,Name
+0,BNO,United States Brent Oil Fund
+1,CRAK,VanEck Vectors Oil Refiners ETF
+2,DBO,Invesco DB Oil Fund
+3,DDG,ProShares Short Oil & Gas
+4,DIG,ProShares Ultra Oil & Gas
+5,DRIP,Direxion Daily S&P Oil & Gas Exp. & Prod. Bear 2X Shares
+6,DUG,ProShares UltraShort Oil & Gas
+7,FTXN,First Trust Nasdaq Oil & Gas ETF
+8,GUSH,Direxion Daily S&P Oil & Gas Exp. & Prod. Bull 2X Shares
+9,IEO,iShares U.S. Oil & Gas Exploration & Production ETF
+10,IEZ,iShares U.S. Oil Equipment & Services ETF
+11,OIH,VanEck Vectors Oil Services ETF
+12,OILK,ProShares K-1 Free Crude Oil Strategy ETF
+13,PXJ,Invesco Dynamic Oil & Gas Services ETF
+14,SCO,ProShares UltraShort Bloomberg Crude Oil
+15,UCO,ProShares Ultra Bloomberg Crude Oil
+16,USL,United States 12 Month Oil Fund
+17,USO,United States Oil Fund
+18,XES,SPDR S&P Oil & Gas Equipment & Services ETF
+19,XOP,SPDR S&P Oil & Gas Exploration & Production ETF

tests/gamestonk_terminal/etf/discovery/cassettes/test_wsj_model/test_get_etfs_by_name[active].yaml

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tests/gamestonk_terminal/etf/discovery/cassettes/test_wsj_model/test_get_etfs_by_name[decliners].yaml

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tests/gamestonk_terminal/etf/discovery/cassettes/test_wsj_model/test_get_etfs_by_name[gainers].yaml

@@ -0,0 +1,118 @@
+interactions:
+- request:
+    body: null
+    headers:
+      Accept:
+      - '*/*'
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+    method: GET
+    uri: https://www.wsj.com/market-data/mutualfunds-etfs/etfmovers?id=%7B%22application%22%3A%22WSJ%22%2C%22etfMover%22%3A%22leaders%22%2C%22count%22%3A25%7D&type=mdc_etfmovers
+  response:
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+      Connection:
+      - keep-alive
+      Content-Encoding:
+      - gzip
+      Content-Type:
+      - application/json; charset=utf-8
+      Date:
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+      ETag:
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+      Transfer-Encoding:
+      - chunked
+      Via:
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+      X-Amz-Cf-Pop:
+      - LHR62-C2
+      X-Cache:
+      - Miss from cloudfront
+      X-Content-Type-Options:
+      - nosniff
+      X-Powered-By:
+      - Express
+      X-XSS-Protection:
+      - 1; mode=block
+    status:
+      code: 200
+      message: OK
+version: 1

tests/gamestonk_terminal/etf/discovery/cassettes/test_wsj_view/test_show_top_mover[active].yaml

@@ -0,0 +1,117 @@
+interactions:
+- request:
+    body: null
+    headers:
+      Accept:
+      - '*/*'
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+    method: GET
+    uri: https://www.wsj.com/market-data/mutualfunds-etfs/etfmovers?id=%7B%22application%22%3A%22WSJ%22%2C%22etfMover%22%3A%22most_active%22%2C%22count%22%3A25%7D&type=mdc_etfmovers
+  response:
+    body:
+      string: !!binary |
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tests/gamestonk_terminal/etf/discovery/cassettes/test_wsj_view/test_show_top_mover[decliners].yaml

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tests/gamestonk_terminal/etf/discovery/cassettes/test_wsj_view/test_show_top_mover[gainers].yaml

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+interactions:
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+    headers:
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+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
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tests/gamestonk_terminal/etf/discovery/csv/test_wsj_model/test_get_etfs_by_name[active].csv

@@ -0,0 +1,26 @@
+, ,Price,Chg,%Chg,Vol
+0,SPDR S&P 500 ETF Trust,451.75,-4.74,-1.04,109.1M
+1,ProShares UltraPro QQQ,64.37,-2.32,-3.48,91.1M
+2,Financial Select Sector SPDR ETF,39.25,-0.67,-1.68,85.9M
+3,Invesco QQQ Trust Series I,366.48,-4.07,-1.1,81.4M
+4,ProShares Ultra VIX Short-Term Futures ETF,14.2,0.52,3.8,80.1M
+5,iPath Series B S&P 500 VIX Short-Term Futures ETN,20.36,0.47,2.36,71.2M
+6,Direxion Daily Semiconductor Bear 3X Shares,4.29,0.36,9.16,62.2M
+7,ProShares UltraPro Short QQQ,37.15,1.25,3.48,53.2M
+8,VanEck Gold Miners ETF,32.79,2.19,7.16,52.5M
+9,iShares Russell 2000 ETF,204.45,-3.38,-1.63,46.1M
+10,iShares MSCI Emerging Markets ETF,49.43,0.21,0.43,44.0M
+11,ProShares Short QQQ,11.72,0.15,1.3,43.7M
+12,iShares Silver Trust,22.37,0.68,3.14,43.6M
+13,iShares MSCI EAFE ETF,77.77,-0.07,-0.09,34.4M
+14,Energy Select Sector SPDR ETF,64.3,-0.47,-0.73,33.0M
+15,iShares China Large-Cap ETF,37.86,0.16,0.42,31.7M
+16,ARK Innovation ETF,75.75,-1.16,-1.51,31.6M
+17,iShares iBoxx $ High Yield Corporate Bond ETF,85.59,-0.08,-0.09,31.4M
+18,iShares MSCI Brazil ETF,29.89,1.0,3.46,29.7M
+19,ProShares Short S&P 500,14.3,0.16,1.13,28.6M
+20,Direxion Daily Semiconductor Bull 3X Shares,50.82,-5.16,-9.22,28.5M
+21,Direxion Daily Small Cap Bear 3x Shares,34.23,1.59,4.87,27.8M
+22,ProShares UltraShort QQQ,18.22,0.41,2.3,23.5M
+23,Direxion Daily S&P Biotech Bull 3X Shares,20.09,-0.67,-3.23,20.2M
+24,VanEck Junior Gold Miners ETF,42.89,2.87,7.17,18.9M

tests/gamestonk_terminal/etf/discovery/csv/test_wsj_model/test_get_etfs_by_name[decliners].csv

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+, ,Price,Chg,%Chg,Vol
+0,MicroSectors Gold Miners 3X Inverse Leveraged ETN,15.98,-4.1,-20.42,131.7K
+1,Direxion Daily Gold Miners Index Bear 2X Shares,17.5,-3.02,-14.72,4.9M
+2,Direxion Daily Junior Gold Miners Index Bear 2X Shares,10.02,-1.7,-14.51,6.0M
+3,ProShares Ultra Bloomberg Natural Gas,29.13,-3.87,-11.73,2.5M
+4,Direxion Daily Semiconductor Bull 3X Shares,50.82,-5.16,-9.22,28.5M
+5,Direxion Daily Regional Banks Bull 3X Shares,58.18,-5.17,-8.16,1.2M
+6,Direxion Daily Homebuilders & Supplies Bull 3X Shares,78.5,-6.61,-7.77,501.9K
+7,ProShares UltraShort MSCI Brazil Capped,15.96,-1.11,-6.5,119.8K
+8,ProShares UltraShort Silver,24.46,-1.63,-6.25,354.4K
+9,ProShares Ultra Semiconductors,42.34,-2.82,-6.24,304.7K
+10,United States Natural Gas Fund L.P.,13.45,-0.88,-6.14,9.8M
+11,MicroSectors U.S. Big Banks Index 3X Leveraged ETN,60.27,-3.88,-6.05,249.2K
+12,Direxion Daily S&P 500 High Beta Bull 3X Shares,65.58,-3.9,-5.61,70.6K
+13,Breakwave Dry Bulk Shipping ETF,19.91,-1.09,-5.19,252.8K
+14,Direxion Daily Financial Bull 3x Shares,130.2,-6.9,-5.03,1.7M
+15,MicroSectors FANG & Innovation 3x Leveraged ETN,20.77,-1.08,-4.94,1.5M
+16,Direxion Daily Small Cap Bull 3x Shares,65.11,-3.22,-4.71,18.2M
+17,ProShares UltraPro Russell2000,77.82,-3.79,-4.64,1.1M
+18,Direxion Daily Technology Bull 3x Shares,65.94,-2.85,-4.14,2.3M
+19,Direxion Daily Real Estate Bull 3x Shares,23.72,-0.99,-4.01,145.4K
+20,Direxion Daily Mid Cap Bull 3x Shares,58.52,-2.41,-3.96,50.1K
+21,Direxion Daily Aerospace & Defense Bull 3X Shares,20.0,-0.79,-3.8,1.1M
+22,iShares U.S. Regional Banks ETF,65.4,-2.55,-3.75,280.5K
+23,ProShares UltraPro QQQ,64.37,-2.32,-3.48,91.1M
+24,Global X Cannabis ETF,5.26,-0.18,-3.31,201.0K

tests/gamestonk_terminal/etf/discovery/csv/test_wsj_model/test_get_etfs_by_name[gainers].csv

@@ -0,0 +1,26 @@
+, ,Price,Chg,%Chg,Vol
+0,MicroSectors Gold Miners 3X Leveraged ETN,11.8,1.98,20.16,1.5M
+1,Direxion Daily Gold Miners Index Bull 2X Shares,53.18,6.59,14.14,4.7M
+2,Direxion Daily Junior Gold Miners Index Bull 2X Shares,66.34,8.12,13.95,2.1M
+3,ELEMENTS ETN-Rogers Energy,3.3808,0.4008,13.45,81.1K
+4,ProShares UltraShort Bloomberg Natural Gas,49.6,5.37,12.14,1.4M
+5,Direxion Daily Semiconductor Bear 3X Shares,4.29,0.36,9.16,62.2M
+6,ETFMG Prime Junior Silver Miners ETF,13.2,1.09,9.0,3.0M
+7,iShares MSCI Global Silver Miners ETF,13.42,1.04,8.4,390.1K
+8,Global X Silver Miners ETF,37.48,2.75,7.92,725.6K
+9,Direxion Daily Russia Bull 2X Shares,21.35,1.54,7.77,136.0K
+10,iShares MSCI Global Gold Miners ETF,27.65,1.89,7.34,329.8K
+11,US Global GO Gold & Precious Metal Miners ETF,18.46,1.2386,7.19,110.0K
+12,VanEck Junior Gold Miners ETF,42.89,2.87,7.17,18.9M
+13,VanEck Gold Miners ETF,32.79,2.19,7.16,52.5M
+14,Direxion Daily MSCI Brazil Bull 2X Shares,74.94,4.86,6.93,216.1K
+15,ProShares Ultra MSCI Brazil Capped,24.3937,1.5707,6.88,77.5K
+16,MicroSectors U.S. Big Banks Index -3X Inverse Leveraged ETN,8.8876,0.5426,6.5,141.0K
+17,ProShares UltraShort Semiconductors,21.98,1.3074,6.32,64.7K
+18,ELEMENTS ETN-Rogers Agriculture,10.2,0.6,6.25,349.3K
+19,iShares MSCI Turkey ETF,20.59,1.21,6.24,604.7K
+20,ProShares Ultra Silver,37.3,2.12,6.03,1.9M
+21,Direxion Daily S&P 500 High Beta Bear 3X Shares,9.15,0.5,5.78,794.2K
+22,Amplify Pure Junior Gold Miners ETF,22.9,1.2,5.53,66.9K
+23,Aberdeen Standard Physical Palladium Shares ETF,186.07,9.11,5.15,53.2K
+24,Direxion Daily Financial Bear 3x Shares,18.73,0.88,4.93,3.7M

tests/gamestonk_terminal/etf/discovery/csv/test_wsj_model/test_get_etfs_by_name[wrong].csv

@@ -0,0 +1 @@
+""

tests/gamestonk_terminal/etf/discovery/test_disc_controller.py

@@ -0,0 +1,267 @@
+# IMPORTATION STANDARD
+import os
+
+# IMPORTATION THIRDPARTY
+import pandas as pd
+import pytest
+
+# IMPORTATION INTERNAL
+from gamestonk_terminal.etf.discovery import disc_controller
+
+# pylint: disable=E1101
+# pylint: disable=W0603
+# pylint: disable=E1111
+
+EMPTY_DF = pd.DataFrame()
+
+
+@pytest.mark.vcr(record_mode="none")
+@pytest.mark.parametrize(
+    "queue, expected",
+    [
+        (["load", "help"], []),
+        (["quit", "help"], ["help"]),
+    ],
+)
+def test_menu_with_queue(expected, mocker, queue):
+    path_controller = "gamestonk_terminal.etf.discovery.disc_controller"
+
+    # MOCK SWITCH
+    mocker.patch(
+        target=f"{path_controller}.DiscoveryController.switch",
+        return_value=["quit"],
+    )
+    result_menu = disc_controller.DiscoveryController(queue=queue).menu()
+
+    assert result_menu == expected
+
+
+@pytest.mark.vcr(record_mode="none")
+def test_menu_without_queue_completion(mocker):
+    path_controller = "gamestonk_terminal.etf.discovery.disc_controller"
+
+    # ENABLE AUTO-COMPLETION : HELPER_FUNCS.MENU
+    mocker.patch(
+        target="gamestonk_terminal.feature_flags.USE_PROMPT_TOOLKIT",
+        new=True,
+    )
+    mocker.patch(
+        target="gamestonk_terminal.parent_classes.session",
+    )
+    mocker.patch(
+        target="gamestonk_terminal.parent_classes.session.prompt",
+        return_value="quit",
+    )
+    mocker.patch(
+        target="gamestonk_terminal.etf.financedatabase_model.get_etfs_categories",
+        return_value=["Bank Loan"],
+    )
+
+    # DISABLE AUTO-COMPLETION : CONTROLLER.COMPLETER
+    mocker.patch.object(
+        target=disc_controller.gtff,
+        attribute="USE_PROMPT_TOOLKIT",
+        new=True,
+    )
+    mocker.patch(
+        target=f"{path_controller}.session",
+    )
+    mocker.patch(
+        target=f"{path_controller}.session.prompt",
+        return_value="quit",
+    )
+
+    result_menu = disc_controller.DiscoveryController(queue=None).menu()
+
+    assert result_menu == []
+
+
+@pytest.mark.vcr(record_mode="none")
+@pytest.mark.parametrize(
+    "mock_input",
+    ["help", "homee help", "home help", "mock"],
+)
+def test_menu_without_queue_sys_exit(mock_input, mocker):
+    path_controller = "gamestonk_terminal.etf.discovery.disc_controller"
+
+    # DISABLE AUTO-COMPLETION
+    mocker.patch.object(
+        target=disc_controller.gtff,
+        attribute="USE_PROMPT_TOOLKIT",
+        new=False,
+    )
+    mocker.patch(
+        target=f"{path_controller}.session",
+        return_value=None,
+    )
+
+    # MOCK USER INPUT
+    mocker.patch("builtins.input", return_value=mock_input)
+
+    # MOCK SWITCH
+    class SystemExitSideEffect:
+        def __init__(self):
+            self.first_call = True
+
+        def __call__(self, *args, **kwargs):
+            if self.first_call:
+                self.first_call = False
+                raise SystemExit()
+            return ["quit"]
+
+    mock_switch = mocker.Mock(side_effect=SystemExitSideEffect())
+    mocker.patch(
+        target=f"{path_controller}.DiscoveryController.switch",
+        new=mock_switch,
+    )
+
+    result_menu = disc_controller.DiscoveryController(queue=None).menu()
+
+    assert result_menu == []
+
+
+@pytest.mark.vcr(record_mode="none")
+@pytest.mark.record_stdout
+def test_print_help():
+
+    controller = disc_controller.DiscoveryController(queue=None)
+    controller.print_help()
+
+
+@pytest.mark.vcr(record_mode="none")
+@pytest.mark.parametrize(
+    "an_input, expected_queue",
+    [
+        ("", []),
+        ("/help", ["quit", "quit", "help"]),
+        ("help/help", ["help"]),
+        ("q", ["quit"]),
+        ("h", []),
+        (
+            "r",
+            [
+                "quit",
+                "quit",
+                "reset",
+                "etf",
+                "disc",
+            ],
+        ),
+    ],
+)
+def test_switch(an_input, expected_queue):
+
+    controller = disc_controller.DiscoveryController(queue=None)
+    queue = controller.switch(an_input=an_input)
+
+    assert queue == expected_queue
+
+
+@pytest.mark.vcr(record_mode="none")
+def test_call_cls(mocker):
+    mocker.patch("os.system")
+
+    controller = disc_controller.DiscoveryController(queue=None)
+    controller.call_cls([])
+
+    assert controller.queue == []
+    os.system.assert_called_once_with("cls||clear")
+
+
+@pytest.mark.vcr(record_mode="none")
+@pytest.mark.parametrize(
+    "func, queue, expected_queue",
+    [
+        (
+            "call_exit",
+            [],
+            ["quit", "quit", "quit"],
+        ),
+        ("call_exit", ["help"], ["quit", "quit", "quit", "help"]),
+        ("call_home", [], ["quit", "quit"]),
+        ("call_help", [], []),
+        ("call_quit", [], ["quit"]),
+        ("call_quit", ["help"], ["quit", "help"]),
+        (
+            "call_reset",
+            [],
+            [
+                "quit",
+                "quit",
+                "reset",
+                "etf",
+                "disc",
+            ],
+        ),
+        (
+            "call_reset",
+            ["help"],
+            [
+                "quit",
+                "quit",
+                "reset",
+                "etf",
+                "disc",
+                "help",
+            ],
+        ),
+    ],
+)
+def test_call_func_expect_queue(expected_queue, func, queue):
+    controller = disc_controller.DiscoveryController(queue=queue)
+    result = getattr(controller, func)([])
+
+    assert result is None
+    assert controller.queue == expected_queue
+
+
+@pytest.mark.vcr(record_mode="none")
+@pytest.mark.parametrize(
+    "tested_func, other_args, mocked_func, called_args, called_kwargs",
+    [
+        (
+            "call_gainers",
+            ["-l=10"],
+            "wsj_view.show_top_mover",
+            ["gainers", 10, ""],
+            dict(),
+        ),
+        (
+            "call_decliners",
+            ["-l=10"],
+            "wsj_view.show_top_mover",
+            ["decliners", 10, ""],
+            dict(),
+        ),
+        (
+            "call_active",
+            ["-l=10"],
+            "wsj_view.show_top_mover",
+            ["active", 10, ""],
+            dict(),
+        ),
+    ],
+)
+def test_call_func_test(
+    tested_func, mocked_func, other_args, called_args, called_kwargs, mocker
+):
+    path_controller = "gamestonk_terminal.etf.discovery.disc_controller"
+
+    if mocked_func:
+        mock = mocker.Mock()
+        mocker.patch(
+            target=f"{path_controller}.{mocked_func}",
+            new=mock,
+        )
+
+        controller = disc_controller.DiscoveryController(queue=None)
+
+        getattr(controller, tested_func)(other_args)
+
+        if called_args or called_kwargs:
+            mock.assert_called_once_with(*called_args, **called_kwargs)
+        else:
+            mock.assert_called_once()
+    else:
+        controller = disc_controller.DiscoveryController(queue=None)
+        getattr(controller, tested_func)(other_args)

tests/gamestonk_terminal/etf/discovery/test_wsj_model.py

@@ -0,0 +1,30 @@
+# IMPORTATION STANDARD
+
+# IMPORTATION THIRDPARTY
+import pytest
+
+# IMPORTATION INTERNAL
+from gamestonk_terminal.etf.discovery import wsj_model
+
+
+@pytest.fixture(scope="module")
+def vcr_config():
+    return {
+        "filter_headers": [("User-Agent", None)],
+    }
+
+
+@pytest.mark.vcr
+@pytest.mark.parametrize(
+    "sort_type",
+    [
+        "gainers",
+        "decliners",
+        "active",
+        "wrong",
+    ],
+)
+def test_get_etfs_by_name(recorder, sort_type):
+    result = wsj_model.etf_movers(sort_type)
+
+    recorder.capture(result)

tests/gamestonk_terminal/etf/discovery/test_wsj_view.py

@@ -0,0 +1,29 @@
+# IMPORTATION STANDARD
+
+# IMPORTATION THIRDPARTY
+import pytest
+
+# IMPORTATION INTERNAL
+from gamestonk_terminal.etf.discovery import wsj_view
+
+
+@pytest.fixture(scope="module")
+def vcr_config():
+    return {
+        "filter_headers": [("User-Agent", None)],
+    }
+
+
+@pytest.mark.vcr()
+@pytest.mark.record_stdout
+@pytest.mark.parametrize(
+    "sort_type",
+    [
+        "gainers",
+        "decliners",
+        "active",
+    ],
+)
+def test_show_top_mover(sort_type, mocker):
+    mocker.patch.object(target=wsj_view.gtff, attribute="USE_TABULATE_DF", new=False)
+    wsj_view.show_top_mover(sort_type, limit=5, export="")

tests/gamestonk_terminal/etf/discovery/txt/test_disc_controller/test_print_help.txt

@@ -0,0 +1,6 @@
+
+[Wall Street Journal]
+    gainers     top gainers
+    decliners   top decliners
+    active      most active
+

tests/gamestonk_terminal/etf/discovery/txt/test_wsj_view/test_show_top_mover[active].txt

@@ -0,0 +1,7 @@
+                                                Price   Chg  %Chg     Vol
+0                      SPDR S&P 500 ETF Trust  451.75 -4.74 -1.04  109.1M
+1                      ProShares UltraPro QQQ   64.37 -2.32 -3.48   91.2M
+2            Financial Select Sector SPDR ETF   39.25 -0.67 -1.68   85.9M
+3                  Invesco QQQ Trust Series I  366.48 -4.07 -1.10   81.4M
+4  ProShares Ultra VIX Short-Term Futures ETF   14.20  0.52  3.80   80.2M
+

tests/gamestonk_terminal/etf/discovery/txt/test_wsj_view/test_show_top_mover[decliners].txt

@@ -0,0 +1,7 @@
+                                                           Price   Chg   %Chg     Vol
+0       MicroSectors Gold Miners 3X Inverse Leveraged ETN  15.98 -4.10 -20.42  131.7K
+1         Direxion Daily Gold Miners Index Bear 2X Shares  17.50 -3.02 -14.72    4.9M
+2  Direxion Daily Junior Gold Miners Index Bear 2X Shares  10.02 -1.70 -14.51    6.0M
+3                   ProShares Ultra Bloomberg Natural Gas  29.13 -3.87 -11.73    2.5M
+4             Direxion Daily Semiconductor Bull 3X Shares  50.82 -5.16  -9.22   28.5M
+

tests/gamestonk_terminal/etf/discovery/txt/test_wsj_view/test_show_top_mover[gainers].txt

@@ -0,0 +1,7 @@
+                                                             Price     Chg   %Chg    Vol
+0               MicroSectors Gold Miners 3X Leveraged ETN  11.8000  1.9800  20.16   1.5M
+1         Direxion Daily Gold Miners Index Bull 2X Shares  53.1800  6.5900  14.14   4.7M
+2  Direxion Daily Junior Gold Miners Index Bull 2X Shares  66.3400  8.1200  13.95   2.1M
+3                              ELEMENTS ETN-Rogers Energy   3.3808  0.4008  13.45  81.1K
+4              ProShares UltraShort Bloomberg Natural Gas  49.6000  5.3700  12.14   1.4M
+

tests/gamestonk_terminal/etf/json/test_financedatabase_model/test_get_etfs_by_category[Bank Loan].json

@@ -0,0 +1 @@
+{"FLBL": {"short_name": "Franklin Liberty Senior Loan ET", "long_name": "Franklin Liberty Senior Loan ETF", "currency": "USD", "summary": "The investment seeks high level of current income; the secondary goal is preservation of capital.\n Under normal market conditions, the fund invests at least 80% of its net assets in senior loans and investments that provide exposure to senior loans. Senior loans include loans referred to as leveraged loans, bank loans and/or floating rate loans. The fund invests predominantly in income-producing senior floating interest rate corporate loans made to or issued by U.S. companies, non-U.S. entities and U.S. subsidiaries of non-U.S. entities.", "category": "Bank Loan", "family": "Franklin Templeton Investments", "exchange": "BTS", "market": "us_market", "total_assets": 195366608}, "FLRT": {"short_name": "Pacific Global ETF Trust Pacifi", "long_name": "Pacific Global Senior Loan ETF", "currency": "USD", "summary": "The investment seeks to provide a high level of current income.\n The fund seeks to achieve its investment objective by selecting a focused portfolio comprised primarily of income-producing senior floating rate loans. Under normal circumstances, it will invest at least 80% of its net assets (plus any borrowings for investment purposes) in senior floating rate loans. The fund is expected to invest primarily in loans and other securities that are rated below investment grade (i.e., high yield securities, sometimes called \"junk bonds\" or non-investment grade securities) or, if unrated, of comparable quality as determined by the Sub-Adviser.", "category": "Bank Loan", "family": "Pacific Global", "exchange": "PCX", "market": "us_market", "total_assets": 29246560}, "FTSL": {"short_name": "First Trust Senior Loan Fund ET", "long_name": "First Trust Senior Loan Fund", "currency": "USD", "summary": "The investment seeks to provide high current income; the fund's secondary investment objective is the preservation of capital.\n Under normal market conditions, the fund seeks to outperform each of the primary index and secondary index by investing at least 80% of its net assets in first lien senior floating rate bank loans. The S&P/LSTA U.S. Leveraged Loan 100 Index (the \"primary index\") is a market value-weighted index designed to measure the performance of the largest segment of the U.S. syndicated leveraged loan market. The Markit iBoxx USD Liquid Leveraged Loan Index (the \"secondary index\") selects the 100 most liquid Senior Loans in the market.", "category": "Bank Loan", "family": "First Trust", "exchange": "NGM", "market": "us_market", "total_assets": 1770325248}, "SNLN": {"short_name": "Highland/iBoxx Senior Loan ETF", "long_name": "Highland/iBoxx Senior Loan ETF", "currency": "USD", "summary": "The investment seeks to provide investment results that, before fees and expenses, correspond generally to the price and yield performance of the Markit iBoxx USD Liquid Leveraged Loan Index.\n The fund will, under normal circumstances, invest at least 80% of its assets (the \"80% basket\") in component securities of the underlying index. The underlying index is a subset of the Markit iBoxx USD Leveraged Loan Index. \"Leveraged Loans\" are loans to companies that typically already have a high amount of debt and are often characterized by lower credit ratings or higher interest rates. It is non-diversified.", "category": "Bank Loan", "family": "Highland Funds", "exchange": "NGM", "market": "us_market", "total_assets": 45402932}, "SRLN": {"short_name": "SPDR Blackstone Senior Loan ETF", "long_name": "SPDR Blackstone Senior Loan ETF", "currency": "USD", "summary": "The investment seeks to provide current income consistent with the preservation of capital.\n The fund seeks to outperform the Markit iBoxx USD Liquid Leveraged Loan Index and the S&P/LSTA U.S. Leveraged Loan 100 Index by normally investing at least 80% of its net assets (plus any borrowings for investment purposes) in Senior Loans. For purposes of this 80% test, \"Senior Loans\" are first lien senior secured floating rate bank loans.", "category": "Bank Loan", "family": "SPDR State Street Global Advisors", "exchange": "PCX", "market": "us_market", "total_assets": 4684969472}}

tests/gamestonk_terminal/etf/json/test_financedatabase_model/test_get_etfs_by_category[Bear Market].json

@@ -0,0 +1 @@
+{"DWSH": {"short_name": "AdvisorShares Dorsey Wright Sho", "long_name": "AdvisorShares Dorsey Wright Short ETF", "currency": "USD", "summary": "The investment seeks capital appreciation through short selling securities.\n Dorsey, Wright & Associates, LLC (the \"Sub-Advisor\"), the sub-advisor to the fund, seeks to achieve the fund's investment objective by obtaining short exposure to investment returns of the broad U.S. large-capitalization equity market by engaging in short sales of U.S.-traded equity securities and exchange-traded funds (\"ETFs\"). Under normal circumstances, it invests at least 80% of its net assets (plus any borrowings for investment purposes) in investments that create or result in short exposure to U.S. equity securities.", "category": "Bear Market", "family": "AdvisorShares", "exchange": "NMS", "market": "us_market", "total_assets": 26198404}}

tests/gamestonk_terminal/etf/json/test_yfinance_model/test_get_etfs_by_name[ARKK].json

@@ -0,0 +1 @@
+{"Technology": 30.5, "Healthcare": 29.47, "Communication Services": 25.01, "Consumer Cyclical": 11.42, "Industrials": 2.11, "Consumer Defensive": 0.93, "Real Estate": 0.51, "Financial Services": 0.04, "Basic Materials": 0, "Utilities": 0, "Energy": 0}

tests/gamestonk_terminal/etf/json/test_yfinance_model/test_get_etfs_by_name[ARKW].json

@@ -0,0 +1 @@
+{"Technology": 34.59, "Communication Services": 32.09, "Consumer Cyclical": 21.67, "Healthcare": 5.43, "Financial Services": 2.68, "Real Estate": 2.53, "Consumer Defensive": 0.92, "Industrials": 0.09, "Basic Materials": 0, "Utilities": 0, "Energy": 0}

tests/gamestonk_terminal/etf/prediction_techniques/conftest.py

@@ -0,0 +1,12 @@
+# IMPORTATION STANDARD
+
+# IMPORTATION THIRDPARTY
+import pytest
+from _pytest.nodes import Node
+
+# IMPORTATION INTERNAL
+
+
+def pytest_runtest_setup(item: Node):
+    if not item.config.getoption("--prediction"):
+        pytest.skip(msg="Runs only with option : --prediction")

tests/gamestonk_terminal/etf/prediction_techniques/test_pred_controller.py

@@ -0,0 +1,555 @@
+# IMPORTATION STANDARD
+import os
+from datetime import datetime
+
+# IMPORTATION THIRDPARTY
+import pandas as pd
+import pytest
+
+# IMPORTATION INTERNAL
+pred_controller = pytest.importorskip(
+    modname="gamestonk_terminal.etf.prediction_techniques.pred_controller",
+    reason="Requires prediction dependencies, like tensorflow",
+)
+
+# pylint: disable=E1101
+# pylint: disable=W0603
+
+# pytest.skip(allow_module_level=True)
+
+
+DF_ETF = pd.DataFrame.from_dict(
+    data={
+        pd.Timestamp("2020-11-30 00:00:00"): {
+            "Open": 75.69999694824219,
+            "High": 76.08999633789062,
+            "Low": 75.41999816894531,
+            "Close": 75.75,
+            "Adj Close": 71.90919494628906,
+            "Volume": 5539100,
+            "date_id": 1,
+            "OC_High": 75.75,
+            "OC_Low": 75.69999694824219,
+        },
+        pd.Timestamp("2020-12-01 00:00:00"): {
+            "Open": 76.0199966430664,
+            "High": 77.12999725341797,
+            "Low": 75.69000244140625,
+            "Close": 77.02999877929688,
+            "Adj Close": 73.1242904663086,
+            "Volume": 6791700,
+            "date_id": 2,
+            "OC_High": 77.02999877929688,
+            "OC_Low": 76.0199966430664,
+        },
+    },
+    orient="index",
+)
+EMPTY_DF = pd.DataFrame()
+
+PRED_CONTROLLER = pred_controller.PredictionTechniquesController(
+    ticker="MOCK_TICKER",
+    start=datetime.strptime("2020-12-15", "%Y-%m-%d"),
+    interval="1440min",
+    data=DF_ETF,
+)
+
+
+@pytest.mark.vcr(record_mode="none")
+@pytest.mark.parametrize(
+    "queue, expected",
+    [
+        (["pick", "help"], []),
+        (["quit", "help"], ["help"]),
+    ],
+)
+def test_menu_with_queue(expected, mocker, queue):
+    mocker.patch(
+        target=(
+            "gamestonk_terminal.etf.prediction_techniques.pred_controller."
+            "PredictionTechniquesController.switch"
+        ),
+        return_value=["quit"],
+    )
+    result_menu = pred_controller.PredictionTechniquesController(
+        ticker="ARKW",
+        start=datetime.strptime("2020-12-01", "%Y-%m-%d"),
+        interval="1440min",
+        data=DF_ETF,
+        queue=queue,
+    ).menu()
+
+    assert result_menu == expected
+
+
+@pytest.mark.vcr(record_mode="none")
+def test_menu_without_queue_completion(mocker):
+    # ENABLE AUTO-COMPLETION : HELPER_FUNCS.MENU
+    mocker.patch(
+        target="gamestonk_terminal.feature_flags.USE_PROMPT_TOOLKIT",
+        new=True,
+    )
+    mocker.patch(
+        target="gamestonk_terminal.parent_classes.session",
+    )
+    mocker.patch(
+        target="gamestonk_terminal.parent_classes.session.prompt",
+        return_value="quit",
+    )
+
+    # DISABLE AUTO-COMPLETION : CONTROLLER.COMPLETER
+    mocker.patch.object(
+        target=pred_controller.gtff,
+        attribute="USE_PROMPT_TOOLKIT",
+        new=True,
+    )
+    mocker.patch(
+        target="gamestonk_terminal.etf.prediction_techniques.pred_controller.session",
+    )
+    mocker.patch(
+        target="gamestonk_terminal.etf.prediction_techniques.pred_controller.session.prompt",
+        return_value="quit",
+    )
+
+    result_menu = pred_controller.PredictionTechniquesController(
+        ticker="ARKW",
+        start=datetime.strptime("2020-12-01", "%Y-%m-%d"),
+        interval="1440min",
+        data=DF_ETF,
+        queue=None,
+    ).menu()
+
+    assert result_menu == []
+
+
+@pytest.mark.vcr(record_mode="none")
+@pytest.mark.parametrize(
+    "mock_input",
+    ["picked", "load help", "mock"],
+)
+def test_menu_without_queue_sys_exit(mock_input, mocker):
+    # DISABLE AUTO-COMPLETION
+    mocker.patch.object(
+        target=pred_controller.gtff,
+        attribute="USE_PROMPT_TOOLKIT",
+        new=False,
+    )
+    mocker.patch(
+        target="gamestonk_terminal.etf.prediction_techniques.pred_controller.session",
+        return_value=None,
+    )
+
+    # MOCK USER INPUT
+    mocker.patch("builtins.input", return_value=mock_input)
+
+    # MOCK SWITCH
+    class SystemExitSideEffect:
+        def __init__(self):
+            self.first_call = True
+
+        def __call__(self, *args, **kwargs):
+            if self.first_call:
+                self.first_call = False
+                raise SystemExit()
+            return ["quit"]
+
+    mock_switch = mocker.Mock(side_effect=SystemExitSideEffect())
+    mocker.patch(
+        target=(
+            "gamestonk_terminal.etf.prediction_techniques.pred_controller."
+            "PredictionTechniquesController.switch"
+        ),
+        new=mock_switch,
+    )
+
+    result_menu = pred_controller.PredictionTechniquesController(
+        ticker="ARKW",
+        start=datetime.strptime("2020-12-01", "%Y-%m-%d"),
+        interval="1440min",
+        data=DF_ETF,
+        queue=None,
+    ).menu()
+
+    assert result_menu == []
+
+
+@pytest.mark.vcr(record_mode="none")
+@pytest.mark.record_stdout
+@pytest.mark.parametrize(
+    "start",
+    [
+        datetime.strptime("2020-12-01", "%Y-%m-%d"),
+    ],
+)
+def test_print_help(start):
+    controller = pred_controller.PredictionTechniquesController(
+        ticker="ARKW",
+        start=start,
+        interval="1440min",
+        data=DF_ETF,
+    )
+    controller.print_help()
+
+
+@pytest.mark.vcr(record_mode="none")
+@pytest.mark.parametrize(
+    "an_input, expected_queue",
+    [
+        ("", []),
+        ("/help", ["quit", "quit", "help"]),
+        ("help/help", ["help"]),
+        ("q", ["quit"]),
+        ("h", []),
+        ("r", ["quit", "quit", "reset", "etf", "load ARKW", "pred"]),
+    ],
+)
+def test_switch(an_input, expected_queue):
+    controller = pred_controller.PredictionTechniquesController(
+        ticker="ARKW",
+        start=datetime.strptime("2020-12-01", "%Y-%m-%d"),
+        interval="1440min",
+        data=DF_ETF,
+        queue=None,
+    )
+    queue = controller.switch(an_input=an_input)
+
+    assert queue == expected_queue
+
+
+@pytest.mark.vcr(record_mode="none")
+def test_call_cls(mocker):
+    mocker.patch("os.system")
+    controller = pred_controller.PredictionTechniquesController(
+        ticker="ARKW",
+        start=datetime.strptime("2020-12-01", "%Y-%m-%d"),
+        interval="1440min",
+        data=DF_ETF,
+    )
+    controller.call_cls([])
+
+    assert controller.queue == []
+    os.system.assert_called_once_with("cls||clear")
+
+
+@pytest.mark.vcr(record_mode="none")
+@pytest.mark.parametrize(
+    "func, queue, expected_queue",
+    [
+        (
+            "call_exit",
+            [],
+            [
+                "quit",
+                "quit",
+                "quit",
+            ],
+        ),
+        ("call_exit", ["help"], ["quit", "quit", "quit", "help"]),
+        ("call_home", [], ["quit", "quit"]),
+        ("call_help", [], []),
+        ("call_quit", [], ["quit"]),
+        ("call_quit", ["help"], ["quit", "help"]),
+        (
+            "call_reset",
+            [],
+            ["quit", "quit", "reset", "etf", "load ARKW", "pred"],
+        ),
+        (
+            "call_reset",
+            ["help"],
+            ["quit", "quit", "reset", "etf", "load ARKW", "pred", "help"],
+        ),
+    ],
+)
+def test_call_func_expect_queue(expected_queue, queue, func):
+    controller = pred_controller.PredictionTechniquesController(
+        ticker="ARKW",
+        start=datetime.strptime("2020-12-01", "%Y-%m-%d"),
+        interval="1440min",
+        data=DF_ETF,
+        queue=queue,
+    )
+    result = getattr(controller, func)([])
+
+    assert result is None
+    assert controller.queue == expected_queue
+
+
+@pytest.mark.vcr(record_mode="none")
+@pytest.mark.parametrize(
+    "tested_func, mocked_func, other_args, called_with",
+    [
+        (
+            "call_ets",
+            "ets_view.display_exponential_smoothing",
+            [
+                "--day=1",
+                "--trend=A",
+                "--seasonal=M",
+                "--period=2",
+                "--end=2020-12-15",
+                "--export=png",
+            ],
+            dict(
+                ticker="MOCK_TICKER",
+                values=PRED_CONTROLLER.data["AdjClose"],
+                n_predict=1,
+                trend="A",
+                seasonal="M",
+                seasonal_periods=2,
+                s_end_date=datetime.strptime("2020-12-15", "%Y-%m-%d"),
+                export="png",
+            ),
+        ),
+        (
+            "call_knn",
+            "knn_view.display_k_nearest_neighbors",
+            [
+                "--input=1",
+                "--days=2",
+                "--jumps=3",
+                "--neighbors=4",
+                "--end=2020-12-01",
+                "--test_size=0.1",
+                "--no_shuffle",
+            ],
+            dict(
+                ticker="MOCK_TICKER",
+                data=PRED_CONTROLLER.data["AdjClose"],
+                n_neighbors=4,
+                n_input_days=1,
+                n_predict_days=2,
+                test_size=0.1,
+                end_date=datetime.strptime("2020-12-01", "%Y-%m-%d"),
+                no_shuffle=False,
+            ),
+        ),
+        (
+            "call_regression",
+            "regression_view.display_regression",
+            [
+                "4",
+                "--input=1",
+                "--days=2",
+                "--jumps=3",
+                "--end=2020-12-15",
+                "--export=png",
+            ],
+            dict(
+                dataset="MOCK_TICKER",
+                values=PRED_CONTROLLER.data["AdjClose"],
+                poly_order=4,
+                n_input=1,
+                n_predict=2,
+                n_jumps=3,
+                s_end_date=datetime.strptime("2020-12-15", "%Y-%m-%d"),
+                export="png",
+            ),
+        ),
+        (
+            "call_arima",
+            "arima_view.display_arima",
+            [
+                "--days=1",
+                "--ic=bic",
+                "--seasonal",
+                "--order=p,q,d",
+                "--results",
+                "--end=2020-12-15",
+                "--export=png",
+            ],
+            dict(
+                dataset="MOCK_TICKER",
+                values=PRED_CONTROLLER.data["AdjClose"],
+                arima_order="p,q,d",
+                n_predict=1,
+                seasonal=True,
+                ic="bic",
+                results=True,
+                s_end_date=datetime.strptime("2020-12-15", "%Y-%m-%d"),
+                export="png",
+            ),
+        ),
+        (
+            "call_mlp",
+            "neural_networks_view.display_mlp",
+            [
+                "--days=1",
+                "--input=2",
+                "--epochs=3",
+                "--end=2020-12-15",
+                "--batch_size=4",
+                "--loops=5",
+                # "--valid", "0.1",
+                "--lr=0.01",
+                "--no_shuffle",
+            ],
+            dict(
+                dataset="MOCK_TICKER",
+                data=PRED_CONTROLLER.data["AdjClose"],
+                n_input_days=2,
+                n_predict_days=1,
+                learning_rate=0.01,
+                epochs=3,
+                batch_size=4,
+                test_size=0.1,
+                n_loops=5,
+                no_shuffle=False,
+            ),
+        ),
+        (
+            "call_rnn",
+            "neural_networks_view.display_rnn",
+            [
+                "--days=1",
+                "--input=2",
+                "--epochs=3",
+                "--end=2020-12-15",
+                "--batch_size=4",
+                "--loops=5",
+                # "--valid", "0.1",
+                "--lr=0.01",
+                "--no_shuffle",
+            ],
+            dict(
+                dataset="MOCK_TICKER",
+                data=PRED_CONTROLLER.data["AdjClose"],
+                n_input_days=2,
+                n_predict_days=1,
+                learning_rate=0.01,
+                epochs=3,
+                batch_size=4,
+                test_size=0.1,
+                n_loops=5,
+                no_shuffle=False,
+            ),
+        ),
+        (
+            "call_lstm",
+            "neural_networks_view.display_lstm",
+            [
+                "--days=1",
+                "--input=2",
+                "--epochs=3",
+                "--end=2020-12-15",
+                "--batch_size=4",
+                "--loops=5",
+                # "--valid", "0.1",
+                "--lr=0.01",
+                "--no_shuffle",
+            ],
+            dict(
+                dataset="MOCK_TICKER",
+                data=PRED_CONTROLLER.data["AdjClose"],
+                n_input_days=2,
+                n_predict_days=1,
+                learning_rate=0.01,
+                epochs=3,
+                batch_size=4,
+                test_size=0.1,
+                n_loops=5,
+                no_shuffle=False,
+            ),
+        ),
+        (
+            "call_conv1d",
+            "neural_networks_view.display_conv1d",
+            [
+                "--days=1",
+                "--input=2",
+                "--epochs=3",
+                "--end=2020-12-15",
+                "--batch_size=4",
+                "--loops=5",
+                # "--valid", "0.1",
+                "--lr=0.01",
+                "--no_shuffle",
+            ],
+            dict(
+                dataset="MOCK_TICKER",
+                data=PRED_CONTROLLER.data["AdjClose"],
+                n_input_days=2,
+                n_predict_days=1,
+                learning_rate=0.01,
+                epochs=3,
+                batch_size=4,
+                test_size=0.1,
+                n_loops=5,
+                no_shuffle=False,
+            ),
+        ),
+        (
+            "call_mc",
+            "mc_view.display_mc_forecast",
+            [
+                "--days=1",
+                # "--num=2",
+                "--dist=normal",
+                "--export=png",
+            ],
+            dict(
+                data=PRED_CONTROLLER.data["AdjClose"],
+                n_future=1,
+                n_sims=100,
+                use_log=False,
+                export="png",
+            ),
+        ),
+    ],
+)
+def test_call_func(tested_func, mocked_func, other_args, called_with, mocker):
+    mock = mocker.Mock()
+    mocker.patch(
+        "gamestonk_terminal.etf.prediction_techniques.pred_controller." + mocked_func,
+        new=mock,
+    )
+    getattr(PRED_CONTROLLER, tested_func)(other_args=other_args)
+
+    if isinstance(called_with, dict):
+        mock.assert_called_once_with(**called_with)
+    elif isinstance(called_with, list):
+        mock.assert_called_once_with(*called_with)
+    else:
+        mock.assert_called_once()
+
+
+@pytest.mark.vcr(record_mode="none")
+@pytest.mark.parametrize(
+    "func",
+    [
+        "call_load",
+        "call_pick",
+        "call_ets",
+        "call_knn",
+        "call_regression",
+        "call_arima",
+        "call_mlp",
+        "call_rnn",
+        "call_lstm",
+        "call_conv1d",
+        "call_mc",
+    ],
+)
+def test_call_func_no_parser(func, mocker):
+    mock = mocker.Mock(return_value=None)
+    mocker.patch.object(
+        target=pred_controller,
+        attribute="parse_known_args_and_warn",
+        new=mock,
+    )
+    mocker.patch.object(
+        target=pred_controller.pred_helper,
+        attribute="parse_known_args_and_warn",
+        new=mock,
+    )
+    controller = pred_controller.PredictionTechniquesController(
+        ticker="MOCK_TICKER",
+        start=datetime.strptime("2020-12-01", "%Y-%m-%d"),
+        interval="1440min",
+        data=DF_ETF.copy(),
+    )
+
+    func_result = getattr(controller, func)(other_args=["PM"])
+    assert func_result is None
+    assert controller.queue == []
+    getattr(pred_controller, "parse_known_args_and_warn").assert_called_once()

tests/gamestonk_terminal/etf/prediction_techniques/txt/test_pred_controller/test_call_load.txt

@@ -0,0 +1,19 @@
+
+    load        load new ticker
+    pick        pick new target variable
+
+Ticker Loaded: ARKW (from 2020-12-01)
+Target Column: AdjClose
+
+Models:
+    ets         exponential smoothing (e.g. Holt-Winters)
+    knn         k-Nearest Neighbors
+    regression  polynomial regression
+    arima       autoregressive integrated moving average
+    mlp         MultiLayer Perceptron
+    rnn         Recurrent Neural Network
+    lstm        Long-Short Term Memory
+    conv1d      1D Convolutional Neural Network
+    mc          Monte-Carlo simulations
+        
+2022 Jan 20, 09:57 (✨) /etf/pred/ $ 

tests/gamestonk_terminal/etf/prediction_techniques/txt/test_pred_controller/test_print_help[start0].txt

@@ -0,0 +1,18 @@
+
+    load        load new ticker
+    pick        pick new target variable
+
+Ticker Loaded: ARKW (from 2020-12-01)
+Target Column: AdjClose
+
+Models:
+    ets         exponential smoothing (e.g. Holt-Winters)
+    knn         k-Nearest Neighbors
+    regression  polynomial regression
+    arima       autoregressive integrated moving average
+    mlp         MultiLayer Perceptron
+    rnn         Recurrent Neural Network
+    lstm        Long-Short Term Memory
+    conv1d      1D Convolutional Neural Network
+    mc          Monte-Carlo simulations
+        

tests/gamestonk_terminal/etf/prediction_techniques/txt/test_pred_controller/test_print_help[start1].txt

@@ -0,0 +1,18 @@
+
+    load        load new ticker
+    pick        pick new target variable
+
+Ticker Loaded: ARKW (from 2020-12-01)
+Target Column: AdjClose
+
+Models:
+    ets         exponential smoothing (e.g. Holt-Winters)
+    knn         k-Nearest Neighbors
+    regression  polynomial regression
+    arima       autoregressive integrated moving average
+    mlp         MultiLayer Perceptron
+    rnn         Recurrent Neural Network
+    lstm        Long-Short Term Memory
+    conv1d      1D Convolutional Neural Network
+    mc          Monte-Carlo simulations
+        

tests/gamestonk_terminal/etf/screener/test_screener_controller.py

@@ -0,0 +1,297 @@
+# IMPORTATION STANDARD
+import os
+
+# IMPORTATION THIRDPARTY
+import pandas as pd
+import pytest
+
+# IMPORTATION INTERNAL
+from gamestonk_terminal.etf.screener import screener_controller
+
+# pylint: disable=E1101
+# pylint: disable=W0603
+# pylint: disable=E1111
+
+EMPTY_DF = pd.DataFrame()
+
+
+@pytest.mark.vcr(record_mode="none")
+@pytest.mark.parametrize(
+    "queue, expected",
+    [
+        (["load", "help"], []),
+        (["quit", "help"], ["help"]),
+    ],
+)
+def test_menu_with_queue(expected, mocker, queue):
+    path_controller = "gamestonk_terminal.etf.screener.screener_controller"
+
+    # MOCK SWITCH
+    mocker.patch(
+        target=f"{path_controller}.ScreenerController.switch",
+        return_value=["quit"],
+    )
+    result_menu = screener_controller.ScreenerController(queue=queue).menu()
+
+    assert result_menu == expected
+
+
+@pytest.mark.vcr(record_mode="none")
+def test_menu_without_queue_completion(mocker):
+    path_controller = "gamestonk_terminal.etf.screener.screener_controller"
+
+    # ENABLE AUTO-COMPLETION : HELPER_FUNCS.MENU
+    mocker.patch(
+        target="gamestonk_terminal.feature_flags.USE_PROMPT_TOOLKIT",
+        new=True,
+    )
+    mocker.patch(
+        target="gamestonk_terminal.parent_classes.session",
+    )
+    mocker.patch(
+        target="gamestonk_terminal.parent_classes.session.prompt",
+        return_value="quit",
+    )
+    mocker.patch(
+        target="gamestonk_terminal.etf.financedatabase_model.get_etfs_categories",
+        return_value=["Bank Loan"],
+    )
+
+    # DISABLE AUTO-COMPLETION : CONTROLLER.COMPLETER
+    mocker.patch.object(
+        target=screener_controller.gtff,
+        attribute="USE_PROMPT_TOOLKIT",
+        new=True,
+    )
+    mocker.patch(
+        target=f"{path_controller}.session",
+    )
+    mocker.patch(
+        target=f"{path_controller}.session.prompt",
+        return_value="quit",
+    )
+
+    result_menu = screener_controller.ScreenerController(queue=None).menu()
+
+    assert result_menu == []
+
+
+@pytest.mark.vcr(record_mode="none")
+@pytest.mark.parametrize(
+    "mock_input",
+    ["help", "homee help", "home help", "mock"],
+)
+def test_menu_without_queue_sys_exit(mock_input, mocker):
+    path_controller = "gamestonk_terminal.etf.screener.screener_controller"
+
+    # DISABLE AUTO-COMPLETION
+    mocker.patch.object(
+        target=screener_controller.gtff,
+        attribute="USE_PROMPT_TOOLKIT",
+        new=False,
+    )
+    mocker.patch(
+        target=f"{path_controller}.session",
+        return_value=None,
+    )
+
+    # MOCK USER INPUT
+    mocker.patch("builtins.input", return_value=mock_input)
+
+    # MOCK SWITCH
+    class SystemExitSideEffect:
+        def __init__(self):
+            self.first_call = True
+
+        def __call__(self, *args, **kwargs):
+            if self.first_call:
+                self.first_call = False
+                raise SystemExit()
+            return ["quit"]
+
+    mock_switch = mocker.Mock(side_effect=SystemExitSideEffect())
+    mocker.patch(
+        target=f"{path_controller}.ScreenerController.switch",
+        new=mock_switch,
+    )
+
+    result_menu = screener_controller.ScreenerController(queue=None).menu()
+
+    assert result_menu == []
+
+
+@pytest.mark.vcr(record_mode="none")
+@pytest.mark.record_stdout
+def test_print_help():
+
+    controller = screener_controller.ScreenerController(queue=None)
+    controller.print_help()
+
+
+@pytest.mark.vcr(record_mode="none")
+@pytest.mark.parametrize(
+    "an_input, expected_queue",
+    [
+        ("", []),
+        ("/help", ["quit", "quit", "help"]),
+        ("help/help", ["help"]),
+        ("q", ["quit"]),
+        ("h", []),
+        (
+            "r",
+            [
+                "quit",
+                "quit",
+                "reset",
+                "etf",
+                "scr",
+            ],
+        ),
+    ],
+)
+def test_switch(an_input, expected_queue):
+
+    controller = screener_controller.ScreenerController(queue=None)
+    queue = controller.switch(an_input=an_input)
+
+    assert queue == expected_queue
+
+
+@pytest.mark.vcr(record_mode="none")
+def test_call_cls(mocker):
+    mocker.patch("os.system")
+
+    controller = screener_controller.ScreenerController(queue=None)
+    controller.call_cls([])
+
+    assert controller.queue == []
+    os.system.assert_called_once_with("cls||clear")
+
+
+@pytest.mark.vcr(record_mode="none")
+@pytest.mark.parametrize(
+    "func, queue, expected_queue",
+    [
+        (
+            "call_exit",
+            [],
+            ["quit", "quit", "quit"],
+        ),
+        ("call_exit", ["help"], ["quit", "quit", "quit", "help"]),
+        ("call_home", [], ["quit", "quit"]),
+        ("call_help", [], []),
+        ("call_quit", [], ["quit"]),
+        ("call_quit", ["help"], ["quit", "help"]),
+        (
+            "call_reset",
+            [],
+            [
+                "quit",
+                "quit",
+                "reset",
+                "etf",
+                "scr",
+            ],
+        ),
+        (
+            "call_reset",
+            ["help"],
+            [
+                "quit",
+                "quit",
+                "reset",
+                "etf",
+                "scr",
+                "help",
+            ],
+        ),
+    ],
+)
+def test_call_func_expect_queue(expected_queue, func, queue):
+    controller = screener_controller.ScreenerController(queue=queue)
+    result = getattr(controller, func)([])
+
+    assert result is None
+    assert controller.queue == expected_queue
+
+
+@pytest.mark.vcr(record_mode="none")
+@pytest.mark.parametrize(
+    "tested_func, other_args, mocked_func, called_args, called_kwargs",
+    [
+        (
+            "call_screen",
+            ["-l=10", "-s=NAV", "-a"],
+            "screener_view.view_screener",
+            [],
+            dict(
+                preset="MOCK_ETF_PRESET",
+                num_to_show=10,
+                sortby="NAV",
+                ascend=True,
+                export="",
+            ),
+        ),
+        (
+            "call_sbc",
+            ["Bank Loan", "-l=3"],
+            "financedatabase_view.display_etf_by_category",
+            [],
+            dict(category="Bank Loan", limit=3, export=""),
+        ),
+        (
+            "call_view",
+            [],
+            "",
+            [],
+            dict(),
+        ),
+        (
+            "call_view",
+            [
+                "etf_config",
+            ],
+            "",
+            [],
+            dict(),
+        ),
+        (
+            "call_set",
+            [
+                "etf_config",
+            ],
+            "",
+            [],
+            dict(),
+        ),
+    ],
+)
+def test_call_func_test(
+    tested_func, mocked_func, other_args, called_args, called_kwargs, mocker
+):
+    path_controller = "gamestonk_terminal.etf.screener.screener_controller"
+
+    if mocked_func:
+        mock = mocker.Mock()
+        mocker.patch(
+            target=f"{path_controller}.{mocked_func}",
+            new=mock,
+        )
+        mocker.patch(
+            target="gamestonk_terminal.etf.financedatabase_model.get_etfs_categories",
+            return_value=["Bank Loan"],
+        )
+
+        controller = screener_controller.ScreenerController(queue=None)
+        controller.preset = "MOCK_ETF_PRESET"
+
+        getattr(controller, tested_func)(other_args)
+
+        if called_args or called_kwargs:
+            mock.assert_called_once_with(*called_args, **called_kwargs)
+        else:
+            mock.assert_called_once()
+    else:
+        controller = screener_controller.ScreenerController(queue=None)
+        controller.preset = "MOCK_ETF_PRESET"
+        getattr(controller, tested_func)(other_args)

tests/gamestonk_terminal/etf/screener/test_screener_model.py

@@ -0,0 +1,27 @@
+# IMPORTATION STANDARD
+
+# IMPORTATION THIRDPARTY
+import pytest
+
+# IMPORTATION INTERNAL
+from gamestonk_terminal.etf.screener import screener_model
+
+
+@pytest.fixture(scope="module")
+def vcr_config():
+    return {
+        "filter_headers": [("User-Agent", None)],
+    }
+
+
+@pytest.mark.vcr
+@pytest.mark.parametrize(
+    "preset",
+    [
+        "etf_config",
+    ],
+)
+def test_etf_screener(recorder, preset):
+    result = screener_model.etf_screener(preset)
+
+    recorder.capture(result)

tests/gamestonk_terminal/etf/screener/test_screener_view.py

@@ -0,0 +1,33 @@
+# IMPORTATION STANDARD
+
+# IMPORTATION THIRDPARTY
+import pytest
+
+# IMPORTATION INTERNAL
+from gamestonk_terminal.etf.screener import screener_view
+
+
+@pytest.fixture(scope="module")
+def vcr_config():
+    return {
+        "filter_headers": [("User-Agent", None)],
+    }
+
+
+@pytest.mark.vcr()
+@pytest.mark.record_stdout
+@pytest.mark.parametrize(
+    "preset,num_to_show,sortby,ascend",
+    [
+        ("etf_config", 5, "Assets", True),
+        ("etf_config", 10, "Expense", False),
+        ("etf_config", 7, "Volume", True),
+    ],
+)
+def test_view_screener(preset, num_to_show, sortby, ascend, mocker):
+    mocker.patch.object(
+        target=screener_view.gtff, attribute="USE_TABULATE_DF", new=False
+    )
+    screener_view.view_screener(
+        preset, num_to_show=num_to_show, sortby=sortby, ascend=ascend, export=""
+    )

tests/gamestonk_terminal/etf/screener/txt/test_screener_controller/test_print_help.txt

@@ -0,0 +1,10 @@
+
+    view        view available presets
+    set         set one of the available presets
+
+PRESET: etf_config
+
+    screen      screen ETF using preset selected [StockAnalysis]
+
+    sbc         screen by category [FinanceDatabase]
+

tests/gamestonk_terminal/etf/screener/txt/test_screener_view/test_view_screener[etf_config-10-Expense-False].txt

@@ -0,0 +1,12 @@
+      Assets    NAV  Expense     PE SharesOut   Div DivYield    Volume   Open  PrevClose  YrLow  YrHigh  Beta  N_Hold
+BIZD  550.13  17.59    10.07   4.95     31.28   1.4     7.97   22342.0  17.66      17.66  13.91   13.91  1.35    26.0
+VPC    29.59  25.73     5.53   5.24      1.15   1.6     6.18   10949.0  26.24      25.79  21.14   21.14  1.26    60.0
+DWSH   31.09   8.29     3.67             3.75                  67017.0   8.36       8.30   8.26    8.26 -1.82   107.0
+BDRY   45.86  22.93     3.47              2.0                 386279.0  19.68      23.19   9.21    9.21  0.23    11.0
+PEX    25.30  35.14     3.41   5.03             4.9    14.07    7292.0  35.04      35.30  27.99   27.99  1.20    31.0
+HDGE   74.35  24.68     3.36             3.01                  45355.0  25.11      25.14  22.67   22.67 -1.27    55.0
+HIPS   72.34  15.23     3.19  14.86      4.75  1.18     7.79    1604.0  15.13      15.20  13.45   13.45  1.24    60.0
+FCEF   39.07  25.13     2.91  22.79      1.56  1.24     4.97    3739.0  24.89      25.29  22.45   22.45  0.94    49.0
+MCEF   23.24  20.20     2.65             1.15  0.78     3.95   20264.0  19.73      20.21  19.58   19.58  0.20    35.0
+YYY   422.51  16.44     2.45  19.91      25.7  1.51     9.28   97823.0  16.34      16.28  15.97   15.97  0.81    45.0
+

tests/gamestonk_terminal/etf/screener/txt/test_screener_view/test_view_screener[etf_config-5-Assets-True].txt

@@ -0,0 +1,7 @@
+      Assets    NAV  Expense     PE SharesOut   Div DivYield    Volume   Open  PrevClose  YrLow  YrHigh  Beta  N_Hold
+BKCH    1.00  20.07     0.50  20.63            0.93     5.01  100261.0  19.02      18.83  18.31   18.31 -4.39    26.0
+VPOP    1.02  10.14     0.95                                     202.0   9.92       9.98   9.98    9.98 -2.05    26.0
+EPRE    1.03  20.62     0.85  54.41            0.17     0.84     727.0  20.43      20.66  19.90   19.90 -1.42    22.0
+IVDG    1.07  11.85     0.59  51.92                              235.0  12.21      12.21  10.98   10.98 -1.45    40.0
+GBGR    1.11  22.14     0.29  22.77            0.12     0.57      10.0  22.88      21.49  20.92   20.92  0.88   101.0
+

tests/gamestonk_terminal/etf/screener/txt/test_screener_view/test_view_screener[etf_config-7-Volume-True].txt

@@ -0,0 +1,9 @@
+      Assets    NAV Expense     PE SharesOut   Div DivYield  Volume   Open  PrevClose  YrLow  YrHigh  Beta  N_Hold
+XDJL    3.55  27.33    0.79                                     1.0  27.76      27.67  25.36   25.36  0.73     4.0
+PAB    47.51  48.73    0.19                   0.62     1.27     1.0  48.77      48.73  48.38   48.38 -0.40   348.0
+KOKU  390.29  83.93    0.09  22.84      4.65  1.64     1.96     1.0  85.26      85.44  71.11   71.11  1.09  1302.0
+SFYX   47.03  13.44                      3.5  0.13     0.97     1.0  13.49      13.83  12.55   12.55  1.14   487.0
+ISZE   17.63  29.39     0.3  20.59            2.48     8.47     1.0  29.28      29.32  28.41   28.41  0.94   910.0
+IDMO    9.34  37.37    0.25  15.58            0.68     1.84     1.0  36.68      36.73  31.14   31.14  0.76   224.0
+SSLY   19.30  48.24     0.4  16.42            3.11     6.45     1.0  50.50      48.24  47.19   47.19  1.01   603.0
+

tests/gamestonk_terminal/etf/technical_analysis/csv/testdf.csv

@@ -0,0 +1,11 @@
+Date,Open,High,Low,Close,Adj Close,Volume
+2021-12-27,177.08999633789062,180.4199981689453,177.07000732421875,180.3300018310547,180.3300018310547,74919600
+2021-12-28,180.16000366210938,181.3300018310547,178.52999877929688,179.2899932861328,179.2899932861328,79144300
+2021-12-29,179.3300018310547,180.6300048828125,178.13999938964844,179.3800048828125,179.3800048828125,62348900
+2021-12-30,179.47000122070312,180.57000732421875,178.08999633789062,178.1999969482422,178.1999969482422,59773000
+2021-12-31,178.08999633789062,179.22999572753906,177.25999450683594,177.57000732421875,177.57000732421875,64025500
+2022-01-03,177.8300018310547,182.8800048828125,177.7100067138672,182.00999450683594,182.00999450683594,104487900
+2022-01-04,182.6300048828125,182.94000244140625,179.1199951171875,179.6999969482422,179.6999969482422,99310400
+2022-01-05,179.61000061035156,180.1699981689453,174.63999938964844,174.9199981689453,174.9199981689453,94537600
+2022-01-06,172.6999969482422,175.3000030517578,171.63999938964844,172.0,172.0,96904000
+2022-01-07,172.88999938964844,174.13999938964844,171.02999877929688,172.1699981689453,172.1699981689453,86580100

tests/gamestonk_terminal/etf/technical_analysis/test_ta_controller.py

@@ -0,0 +1,663 @@
+# IMPORTATION STANDARD
+import os
+from datetime import datetime
+
+# IMPORTATION THIRDPARTY
+import pandas as pd
+import pytest
+
+# IMPORTATION INTERNAL
+from gamestonk_terminal.etf.technical_analysis import ta_controller
+
+# pylint: disable=E1101
+# pylint: disable=W0603
+# pylint: disable=E1111
+
+EMPTY_DF = pd.DataFrame()
+MOCK_STOCK_DF = pd.read_csv(
+    "tests/gamestonk_terminal/etf/technical_analysis/csv/testdf.csv", index_col=0
+)
+print(MOCK_STOCK_DF.columns)
+
+
+@pytest.mark.vcr(record_mode="none")
+@pytest.mark.parametrize(
+    "queue, expected",
+    [
+        (["load", "help"], []),
+        (["quit", "help"], ["help"]),
+    ],
+)
+def test_menu_with_queue(expected, mocker, queue):
+    path_controller = "gamestonk_terminal.etf.technical_analysis.ta_controller"
+
+    # MOCK SWITCH
+    mocker.patch(
+        target=f"{path_controller}.TechnicalAnalysisController.switch",
+        return_value=["quit"],
+    )
+
+    result_menu = ta_controller.TechnicalAnalysisController(
+        ticker="MOCK_TICKER",
+        start=datetime.strptime("2021-12-01", "%Y-%m-%d"),
+        data=EMPTY_DF,
+        queue=queue,
+    ).menu()
+
+    assert result_menu == expected
+
+
+@pytest.mark.vcr(record_mode="none")
+def test_menu_without_queue_completion(mocker):
+    path_controller = "gamestonk_terminal.etf.technical_analysis.ta_controller"
+
+    # ENABLE AUTO-COMPLETION : HELPER_FUNCS.MENU
+    mocker.patch(
+        target="gamestonk_terminal.feature_flags.USE_PROMPT_TOOLKIT",
+        new=True,
+    )
+    mocker.patch(
+        target="gamestonk_terminal.parent_classes.session",
+    )
+    mocker.patch(
+        target="gamestonk_terminal.parent_classes.session.prompt",
+        return_value="quit",
+    )
+
+    # DISABLE AUTO-COMPLETION : CONTROLLER.COMPLETER
+
+    # DISABLE AUTO-COMPLETION
+    mocker.patch.object(
+        target=ta_controller.gtff,
+        attribute="USE_PROMPT_TOOLKIT",
+        new=True,
+    )
+    mocker.patch(
+        target=f"{path_controller}.session",
+    )
+    mocker.patch(
+        target=f"{path_controller}.session.prompt",
+        return_value="quit",
+    )
+
+    result_menu = ta_controller.TechnicalAnalysisController(
+        ticker="MOCK_TICKER",
+        start=datetime.strptime("2021-12-01", "%Y-%m-%d"),
+        data=EMPTY_DF,
+        queue=None,
+    ).menu()
+
+    assert result_menu == []
+
+
+@pytest.mark.vcr(record_mode="none")
+@pytest.mark.parametrize(
+    "mock_input",
+    ["help", "homee help", "home help", "mock"],
+)
+def test_menu_without_queue_sys_exit(mock_input, mocker):
+    path_controller = "gamestonk_terminal.etf.technical_analysis.ta_controller"
+
+    # DISABLE AUTO-COMPLETION
+    mocker.patch.object(
+        target=ta_controller.gtff,
+        attribute="USE_PROMPT_TOOLKIT",
+        new=False,
+    )
+    mocker.patch(
+        target=f"{path_controller}.session",
+        return_value=None,
+    )
+
+    # MOCK USER INPUT
+    mocker.patch("builtins.input", return_value=mock_input)
+
+    # MOCK SWITCH
+    class SystemExitSideEffect:
+        def __init__(self):
+            self.first_call = True
+
+        def __call__(self, *args, **kwargs):
+            if self.first_call:
+                self.first_call = False
+                raise SystemExit()
+            return ["quit"]
+
+    mock_switch = mocker.Mock(side_effect=SystemExitSideEffect())
+    mocker.patch(
+        target=f"{path_controller}.TechnicalAnalysisController.switch",
+        new=mock_switch,
+    )
+
+    result_menu = ta_controller.TechnicalAnalysisController(
+        ticker="MOCK_TICKER",
+        start=datetime.strptime("2021-12-01", "%Y-%m-%d"),
+        data=EMPTY_DF,
+        queue=None,
+    ).menu()
+
+    assert result_menu == []
+
+
+@pytest.mark.vcr(record_mode="none")
+@pytest.mark.record_stdout
+@pytest.mark.parametrize(
+    "start",
+    [
+        datetime.strptime("2021-12-01", "%Y-%m-%d"),
+        None,
+    ],
+)
+def test_print_help(start):
+    controller = ta_controller.TechnicalAnalysisController(
+        ticker="MOCK_TICKER",
+        start=start,
+        data=EMPTY_DF,
+        queue=None,
+    )
+    controller.print_help()
+
+
+@pytest.mark.vcr(record_mode="none")
+@pytest.mark.parametrize(
+    "an_input, expected_queue",
+    [
+        ("", []),
+        (
+            "/help",
+            [
+                "quit",
+                "quit",
+                "help",
+            ],
+        ),
+        ("help/help", ["help"]),
+        ("q", ["quit"]),
+        ("h", []),
+        (
+            "r",
+            [
+                "quit",
+                "quit",
+                "reset",
+                "etf",
+                "load MOCK_TICKER",
+                "ta",
+            ],
+        ),
+    ],
+)
+def test_switch(an_input, expected_queue):
+    controller = ta_controller.TechnicalAnalysisController(
+        ticker="MOCK_TICKER",
+        start=datetime.strptime("2021-12-01", "%Y-%m-%d"),
+        data=MOCK_STOCK_DF,
+        queue=None,
+    )
+    queue = controller.switch(an_input=an_input)
+
+    assert queue == expected_queue
+
+
+@pytest.mark.vcr(record_mode="none")
+def test_call_cls(mocker):
+    mocker.patch("os.system")
+    controller = ta_controller.TechnicalAnalysisController(
+        ticker="MOCK_TICKER",
+        start=datetime.strptime("2021-12-01", "%Y-%m-%d"),
+        data=EMPTY_DF,
+        queue=None,
+    )
+    controller.call_cls([])
+
+    assert controller.queue == []
+    os.system.assert_called_once_with("cls||clear")
+
+
+@pytest.mark.vcr(record_mode="none")
+@pytest.mark.parametrize(
+    "func, queue, expected_queue",
+    [
+        (
+            "call_exit",
+            [],
+            ["quit", "quit", "quit"],
+        ),
+        ("call_exit", ["help"], ["quit", "quit", "quit", "help"]),
+        ("call_home", [], ["quit", "quit"]),
+        ("call_help", [], []),
+        ("call_quit", [], ["quit"]),
+        ("call_quit", ["help"], ["quit", "help"]),
+        (
+            "call_reset",
+            [],
+            [
+                "quit",
+                "quit",
+                "reset",
+                "etf",
+                "load MOCK_TICKER",
+                "ta",
+            ],
+        ),
+        (
+            "call_reset",
+            ["help"],
+            [
+                "quit",
+                "quit",
+                "reset",
+                "etf",
+                "load MOCK_TICKER",
+                "ta",
+                "help",
+            ],
+        ),
+    ],
+)
+def test_call_func_expect_queue(expected_queue, func, queue):
+    controller = ta_controller.TechnicalAnalysisController(
+        ticker="MOCK_TICKER",
+        start=datetime.strptime("2021-12-01", "%Y-%m-%d"),
+        data=EMPTY_DF,
+        queue=queue,
+    )
+    result = getattr(controller, func)([])
+
+    assert result is None
+    assert controller.queue == expected_queue
+
+
+@pytest.mark.vcr(record_mode="none")
+@pytest.mark.parametrize(
+    "tested_func, other_args, mocked_func, called_args, called_kwargs",
+    [
+        (
+            "call_ema",
+            [
+                "1,2",
+                "--offset=2",
+                "--export=csv",
+            ],
+            "overlap_view.view_ma",
+            [],
+            dict(
+                ma_type="EMA",
+                s_ticker="MOCK_TICKER",
+                values=MOCK_STOCK_DF["Adj Close"],
+                length=[1, 2],
+                offset=2,
+                export="csv",
+            ),
+        ),
+        (
+            "call_sma",
+            [
+                "1,2",
+                "--offset=2",
+                "--export=csv",
+            ],
+            "overlap_view.view_ma",
+            [],
+            dict(
+                ma_type="SMA",
+                s_ticker="MOCK_TICKER",
+                values=MOCK_STOCK_DF["Adj Close"],
+                length=[1, 2],
+                offset=2,
+                export="csv",
+            ),
+        ),
+        (
+            "call_wma",
+            [
+                "1,2",
+                "--offset=2",
+                "--export=csv",
+            ],
+            "overlap_view.view_ma",
+            [],
+            dict(
+                ma_type="WMA",
+                s_ticker="MOCK_TICKER",
+                values=MOCK_STOCK_DF["Adj Close"],
+                length=[1, 2],
+                offset=2,
+                export="csv",
+            ),
+        ),
+        (
+            "call_hma",
+            [
+                "1,2",
+                "--offset=2",
+                "--export=csv",
+            ],
+            "overlap_view.view_ma",
+            [],
+            dict(
+                ma_type="HMA",
+                s_ticker="MOCK_TICKER",
+                values=MOCK_STOCK_DF["Adj Close"],
+                length=[1, 2],
+                offset=2,
+                export="csv",
+            ),
+        ),
+        (
+            "call_zlma",
+            [
+                "1,2",
+                "--offset=2",
+                "--export=csv",
+            ],
+            "overlap_view.view_ma",
+            [],
+            dict(
+                ma_type="ZLMA",
+                s_ticker="MOCK_TICKER",
+                values=MOCK_STOCK_DF["Adj Close"],
+                length=[1, 2],
+                offset=2,
+                export="csv",
+            ),
+        ),
+        (
+            "call_cci",
+            [
+                "--length=1",
+                "--scalar=2",
+                "--export=csv",
+            ],
+            "momentum_view.display_cci",
+            [],
+            dict(
+                s_ticker="MOCK_TICKER",
+                df=MOCK_STOCK_DF,
+                length=1,
+                scalar=2,
+                export="csv",
+            ),
+        ),
+        (
+            "call_macd",
+            [
+                "--fast=1",
+                "--slow=2",
+                "--signal=3",
+                "--export=csv",
+            ],
+            "momentum_view.display_macd",
+            [],
+            dict(
+                s_ticker="MOCK_TICKER",
+                values=MOCK_STOCK_DF["Adj Close"],
+                n_fast=1,
+                n_slow=2,
+                n_signal=3,
+                export="csv",
+            ),
+        ),
+        (
+            "call_rsi",
+            [
+                "1",
+                "--scalar=2",
+                "--drift=3",
+                "--export=csv",
+            ],
+            "momentum_view.display_rsi",
+            [],
+            dict(
+                s_ticker="MOCK_TICKER",
+                prices=MOCK_STOCK_DF["Adj Close"],
+                length=1,
+                scalar=2,
+                drift=3,
+                export="csv",
+            ),
+        ),
+        (
+            "call_stoch",
+            [
+                "--fastkperiod=1",
+                "--slowdperiod=2",
+                "--slowkperiod=3",
+                "--export=csv",
+            ],
+            "momentum_view.display_stoch",
+            [],
+            dict(
+                s_ticker="MOCK_TICKER",
+                df_stock=MOCK_STOCK_DF,
+                fastkperiod=1,
+                slowdperiod=2,
+                slowkperiod=3,
+                export="csv",
+            ),
+        ),
+        (
+            "call_fisher",
+            [
+                "1",
+                "--export=csv",
+            ],
+            "momentum_view.display_fisher",
+            [],
+            dict(
+                s_ticker="MOCK_TICKER",
+                df_stock=MOCK_STOCK_DF,
+                length=1,
+                export="csv",
+            ),
+        ),
+        (
+            "call_cg",
+            [
+                "1",
+                "--export=csv",
+            ],
+            "momentum_view.display_cg",
+            [],
+            dict(
+                s_ticker="MOCK_TICKER",
+                values=MOCK_STOCK_DF["Adj Close"],
+                length=1,
+                export="csv",
+            ),
+        ),
+        (
+            "call_adx",
+            [
+                "1",
+                "--scalar=2",
+                "--drift=3",
+                "--export=csv",
+            ],
+            "trend_indicators_view.display_adx",
+            [],
+            dict(
+                s_ticker="MOCK_TICKER",
+                df_stock=MOCK_STOCK_DF,
+                length=1,
+                scalar=2,
+                drift=3,
+                export="csv",
+            ),
+        ),
+        (
+            "call_aroon",
+            [
+                "1",
+                "--scalar=2",
+                "--export=csv",
+            ],
+            "trend_indicators_view.display_aroon",
+            [],
+            dict(
+                s_ticker="MOCK_TICKER",
+                df_stock=MOCK_STOCK_DF,
+                length=1,
+                scalar=2,
+                export="csv",
+            ),
+        ),
+        (
+            "call_bbands",
+            [
+                "1",
+                "--std=2",
+                "--mamode=MOCK_MAMODE",
+                "--export=csv",
+            ],
+            "volatility_view.display_bbands",
+            [],
+            dict(
+                ticker="MOCK_TICKER",
+                df_stock=MOCK_STOCK_DF,
+                length=1,
+                n_std=2,
+                mamode="MOCK_MAMODE",
+                export="csv",
+            ),
+        ),
+        (
+            "call_donchian",
+            [
+                "--length_upper=1",
+                "--length_lower=2",
+                "--export=csv",
+            ],
+            "volatility_view.display_donchian",
+            [],
+            dict(
+                ticker="MOCK_TICKER",
+                df_stock=MOCK_STOCK_DF,
+                upper_length=1,
+                lower_length=2,
+                export="csv",
+            ),
+        ),
+        (
+            "call_kc",
+            [
+                "1",
+                "--scalar=2",
+                "--mamode=sma",
+                "--offset=3",
+                "--export=csv",
+            ],
+            "volatility_view.view_kc",
+            [],
+            dict(
+                s_ticker="MOCK_TICKER",
+                df_stock=MOCK_STOCK_DF,
+                length=1,
+                scalar=2,
+                mamode="sma",
+                offset=3,
+                export="csv",
+            ),
+        ),
+        (
+            "call_ad",
+            [
+                "--open",
+                "--export=csv",
+            ],
+            "volume_view.display_ad",
+            [],
+            dict(
+                s_ticker="MOCK_TICKER",
+                df_stock=MOCK_STOCK_DF,
+                use_open=True,
+                export="csv",
+            ),
+        ),
+        (
+            "call_adosc",
+            [
+                "--open",
+                "--fast_length=1",
+                "--slow_length=2",
+                "--export=csv",
+            ],
+            "volume_view.display_adosc",
+            [],
+            dict(
+                s_ticker="MOCK_TICKER",
+                df_stock=MOCK_STOCK_DF,
+                use_open=True,
+                fast=1,
+                slow=2,
+                export="csv",
+            ),
+        ),
+        (
+            "call_obv",
+            [
+                "--export=csv",
+            ],
+            "volume_view.display_obv",
+            [],
+            dict(
+                s_ticker="MOCK_TICKER",
+                df_stock=MOCK_STOCK_DF,
+                export="csv",
+            ),
+        ),
+        (
+            "call_fib",
+            [
+                "1",
+                "--start=2021-12-01",
+                "--end=2021-12-02",
+                "--export=csv",
+            ],
+            "custom_indicators_view.fibonacci_retracement",
+            [],
+            dict(
+                s_ticker="MOCK_TICKER",
+                df_stock=MOCK_STOCK_DF,
+                period=1,
+                start_date=datetime.strptime("2021-12-01", "%Y-%m-%d"),
+                end_date=datetime.strptime("2021-12-02", "%Y-%m-%d"),
+                export="csv",
+            ),
+        ),
+    ],
+)
+def test_call_func(
+    tested_func, mocked_func, other_args, called_args, called_kwargs, mocker
+):
+    path_controller = "gamestonk_terminal.etf.technical_analysis.ta_controller"
+
+    if mocked_func:
+        mock = mocker.Mock()
+        mocker.patch(
+            target=f"{path_controller}.{mocked_func}",
+            new=mock,
+        )
+
+        controller = ta_controller.TechnicalAnalysisController(
+            ticker="MOCK_TICKER",
+            start=datetime.strptime("2021-12-01", "%Y-%m-%d"),
+            data=MOCK_STOCK_DF,
+            queue=None,
+        )
+        controller.screen_tickers = ["PM"]
+        getattr(controller, tested_func)(other_args)
+
+        if called_args or called_kwargs:
+            mock.assert_called_once_with(*called_args, **called_kwargs)
+        else:
+            mock.assert_called_once()
+    else:
+        controller = ta_controller.TechnicalAnalysisController(
+            ticker="MOCK_TICKER",
+            start=datetime.strptime("2021-12-01", "%Y-%m-%d"),
+            data=EMPTY_DF,
+            queue=None,
+        )
+        controller.screen_tickers = ["PM"]
+        getattr(controller, tested_func)(other_args)

tests/gamestonk_terminal/etf/technical_analysis/txt/test_ta_controller/test_print_help[None].txt

@@ -0,0 +1,30 @@
+
+ETF: MOCK_TICKER
+
+Overlap:
+    ema         exponential moving average
+    sma         simple moving average
+    wma         weighted moving average
+    hma         hull moving average
+    zlma        zero lag moving average
+Momentum:
+    cci         commodity channel index
+    macd        moving average convergence/divergence
+    rsi         relative strength index
+    stoch       stochastic oscillator
+    fisher      fisher transform
+    cg          centre of gravity
+Trend:
+    adx         average directional movement index
+    aroon       aroon indicator
+Volatility:
+    bbands      bollinger bands
+    donchian    donchian channels
+    kc          keltner channels
+Volume:
+    ad          accumulation/distribution line
+    adosc       chaikin oscillator
+    obv         on balance volume
+Custom:
+    fib         fibonacci retracement
+

tests/gamestonk_terminal/etf/technical_analysis/txt/test_ta_controller/test_print_help[start0].txt

@@ -0,0 +1,30 @@
+
+ETF: MOCK_TICKER
+
+Overlap:
+    ema         exponential moving average
+    sma         simple moving average
+    wma         weighted moving average
+    hma         hull moving average
+    zlma        zero lag moving average
+Momentum:
+    cci         commodity channel index
+    macd        moving average convergence/divergence
+    rsi         relative strength index
+    stoch       stochastic oscillator
+    fisher      fisher transform
+    cg          centre of gravity
+Trend:
+    adx         average directional movement index
+    aroon       aroon indicator
+Volatility:
+    bbands      bollinger bands
+    donchian    donchian channels
+    kc          keltner channels
+Volume:
+    ad          accumulation/distribution line
+    adosc       chaikin oscillator
+    obv         on balance volume
+Custom:
+    fib         fibonacci retracement
+

tests/gamestonk_terminal/etf/test_etf_controller.py

@@ -0,0 +1,451 @@
+# IMPORTATION STANDARD
+import os
+
+# IMPORTATION THIRDPARTY
+import pandas as pd
+import pytest
+
+# IMPORTATION INTERNAL
+from gamestonk_terminal.etf import etf_controller
+
+# pylint: disable=E1101
+# pylint: disable=W0603
+# pylint: disable=E1111
+
+
+@pytest.fixture(scope="module")
+def vcr_config():
+    return {
+        "filter_headers": [("User-Agent", None)],
+        "filter_query_parameters": [
+            ("period1", "MOCK_PERIOD_1"),
+            ("period2", "MOCK_PERIOD_2"),
+            ("date", "MOCK_DATE"),
+        ],
+    }
+
+
+EMPTY_DF = pd.DataFrame()
+DF_ETF = pd.DataFrame.from_dict(
+    data={
+        pd.Timestamp("2020-11-30 00:00:00"): {
+            "Open": 75.69999694824219,
+            "High": 76.08999633789062,
+            "Low": 75.41999816894531,
+            "Close": 75.75,
+            "Adj Close": 71.90919494628906,
+            "Volume": 5539100,
+            "date_id": 1,
+            "OC_High": 75.75,
+            "OC_Low": 75.69999694824219,
+        },
+        pd.Timestamp("2020-12-01 00:00:00"): {
+            "Open": 76.0199966430664,
+            "High": 77.12999725341797,
+            "Low": 75.69000244140625,
+            "Close": 77.02999877929688,
+            "Adj Close": 73.1242904663086,
+            "Volume": 6791700,
+            "date_id": 2,
+            "OC_High": 77.02999877929688,
+            "OC_Low": 76.0199966430664,
+        },
+    },
+    orient="index",
+)
+
+
+@pytest.mark.vcr(record_mode="none")
+@pytest.mark.parametrize(
+    "queue, expected",
+    [
+        (["load", "help"], []),
+        (["quit", "help"], ["help"]),
+    ],
+)
+def test_menu_with_queue(expected, mocker, queue):
+    path_controller = "gamestonk_terminal.etf.etf_controller"
+
+    # MOCK SWITCH
+    mocker.patch(
+        target=f"{path_controller}.ETFController.switch",
+        return_value=["quit"],
+    )
+    result_menu = etf_controller.ETFController(queue=queue).menu()
+
+    assert result_menu == expected
+
+
+@pytest.mark.vcr(record_mode="none")
+def test_menu_without_queue_completion(mocker):
+    path_controller = "gamestonk_terminal.etf.etf_controller"
+
+    # ENABLE AUTO-COMPLETION : HELPER_FUNCS.MENU
+    mocker.patch(
+        target="gamestonk_terminal.feature_flags.USE_PROMPT_TOOLKIT",
+        new=True,
+    )
+    mocker.patch(
+        target="gamestonk_terminal.parent_classes.session",
+    )
+    mocker.patch(
+        target="gamestonk_terminal.parent_classes.session.prompt",
+        return_value="quit",
+    )
+
+    # DISABLE AUTO-COMPLETION : CONTROLLER.COMPLETER
+    mocker.patch.object(
+        target=etf_controller.gtff,
+        attribute="USE_PROMPT_TOOLKIT",
+        new=True,
+    )
+    mocker.patch(
+        target=f"{path_controller}.session",
+    )
+    mocker.patch(
+        target=f"{path_controller}.session.prompt",
+        return_value="quit",
+    )
+
+    result_menu = etf_controller.ETFController(queue=None).menu()
+
+    assert result_menu == []
+
+
+@pytest.mark.vcr(record_mode="none")
+@pytest.mark.parametrize(
+    "mock_input",
+    ["help", "homee help", "home help", "mock"],
+)
+def test_menu_without_queue_sys_exit(mock_input, mocker):
+    path_controller = "gamestonk_terminal.etf.etf_controller"
+
+    # DISABLE AUTO-COMPLETION
+    mocker.patch.object(
+        target=etf_controller.gtff,
+        attribute="USE_PROMPT_TOOLKIT",
+        new=False,
+    )
+    mocker.patch(
+        target=f"{path_controller}.session",
+        return_value=None,
+    )
+
+    # MOCK USER INPUT
+    mocker.patch("builtins.input", return_value=mock_input)
+
+    # MOCK SWITCH
+    class SystemExitSideEffect:
+        def __init__(self):
+            self.first_call = True
+
+        def __call__(self, *args, **kwargs):
+            if self.first_call:
+                self.first_call = False
+                raise SystemExit()
+            return ["quit"]
+
+    mock_switch = mocker.Mock(side_effect=SystemExitSideEffect())
+    mocker.patch(
+        target=f"{path_controller}.ETFController.switch",
+        new=mock_switch,
+    )
+
+    result_menu = etf_controller.ETFController(queue=None).menu()
+
+    assert result_menu == []
+
+
+@pytest.mark.vcr(record_mode="none")
+@pytest.mark.record_stdout
+def test_print_help():
+
+    controller = etf_controller.ETFController(queue=None)
+    controller.print_help()
+
+
+@pytest.mark.vcr(record_mode="none")
+@pytest.mark.parametrize(
+    "an_input, expected_queue",
+    [
+        ("", []),
+        ("/help", ["quit", "help"]),
+        ("help/help", ["help"]),
+        ("q", ["quit"]),
+        ("h", []),
+        (
+            "r",
+            [
+                "quit",
+                "reset",
+                "etf",
+            ],
+        ),
+    ],
+)
+def test_switch(an_input, expected_queue):
+
+    controller = etf_controller.ETFController(queue=None)
+    queue = controller.switch(an_input=an_input)
+
+    assert queue == expected_queue
+
+
+@pytest.mark.vcr(record_mode="none")
+def test_call_cls(mocker):
+    mocker.patch("os.system")
+
+    controller = etf_controller.ETFController(queue=None)
+    controller.call_cls([])
+
+    assert controller.queue == []
+    os.system.assert_called_once_with("cls||clear")
+
+
+@pytest.mark.vcr(record_mode="none")
+@pytest.mark.parametrize(
+    "func, queue, expected_queue",
+    [
+        (
+            "call_exit",
+            [],
+            ["quit", "quit"],
+        ),
+        ("call_exit", ["help"], ["quit", "quit", "help"]),
+        ("call_home", [], ["quit"]),
+        ("call_help", [], []),
+        ("call_quit", [], ["quit"]),
+        ("call_quit", ["help"], ["quit", "help"]),
+        (
+            "call_reset",
+            [],
+            [
+                "quit",
+                "reset",
+                "etf",
+            ],
+        ),
+        (
+            "call_reset",
+            ["help"],
+            [
+                "quit",
+                "reset",
+                "etf",
+                "help",
+            ],
+        ),
+    ],
+)
+def test_call_func_expect_queue(expected_queue, func, queue):
+    controller = etf_controller.ETFController(queue=queue)
+    result = getattr(controller, func)([])
+
+    assert result is None
+    assert controller.queue == expected_queue
+
+
+@pytest.mark.vcr(record_mode="none")
+@pytest.mark.parametrize(
+    "tested_func, other_args, mocked_func, called_args, called_kwargs",
+    [
+        (
+            "call_ln",
+            ["oil", "-l=5", "--source=fd"],
+            "financedatabase_view.display_etf_by_name",
+            [],
+            dict(name="oil", limit=5, export=""),
+        ),
+        (
+            "call_ln",
+            ["oil", "-l=5", "--source=sa"],
+            "stockanalysis_view.display_etf_by_name",
+            [],
+            dict(name="oil", limit=5, export=""),
+        ),
+        (
+            "call_ld",
+            ["oil", "-l=5"],
+            "financedatabase_view.display_etf_by_description",
+            [],
+            dict(description="oil", limit=5, export=""),
+        ),
+        (
+            "call_overview",
+            [],
+            "stockanalysis_view.view_overview",
+            [],
+            dict(symbol="MOCK_ETF_NAME", export=""),
+        ),
+        (
+            "call_holdings",
+            ["6"],
+            "stockanalysis_view.view_holdings",
+            [],
+            dict(symbol="MOCK_ETF_NAME", num_to_show=6, export=""),
+        ),
+        (
+            "call_weights",
+            ["--raw"],
+            "yfinance_view.display_etf_weightings",
+            [],
+            dict(name="MOCK_ETF_NAME", raw=True, min_pct_to_display=5, export=""),
+        ),
+        (
+            "call_summary",
+            [],
+            "yfinance_view.display_etf_description",
+            [],
+            dict(name="MOCK_ETF_NAME"),
+        ),
+        (
+            "call_pir",
+            ["ARKW,ARKK", "--filename=hello.xlsx", "--folder=world"],
+            "create_ETF_report",
+            ["ARKW,ARKK"],
+            dict(filename="hello.xlsx", folder="world"),
+        ),
+        (
+            "call_pir",
+            ["--filename=hello.xlsx", "--folder=world"],
+            "create_ETF_report",
+            ["MOCK_ETF_NAME"],
+            dict(filename="hello.xlsx", folder="world"),
+        ),
+        (
+            "call_compare",
+            ["--etfs=ARKW,ARKF"],
+            "stockanalysis_view.view_comparisons",
+            [["ARKW", "ARKF"]],
+            dict(export=""),
+        ),
+        (
+            "call_ca",
+            [],
+            "ca_controller.ComparisonAnalysisController.menu",
+            [],
+            dict(),
+        ),
+        (
+            "call_ta",
+            [],
+            "ETFController.load_class",
+            [
+                etf_controller.ta_controller.TechnicalAnalysisController,
+                "MOCK_ETF_NAME",
+                DF_ETF.index[0],
+                DF_ETF,
+                [],
+            ],
+            dict(),
+        ),
+        (
+            "call_disc",
+            [],
+            "ETFController.load_class",
+            [etf_controller.disc_controller.DiscoveryController, []],
+            dict(),
+        ),
+        (
+            "call_scr",
+            [],
+            "ETFController.load_class",
+            [etf_controller.screener_controller.ScreenerController, []],
+            dict(),
+        ),
+    ],
+)
+def test_call_func_test(
+    tested_func, mocked_func, other_args, called_args, called_kwargs, mocker
+):
+    path_controller = "gamestonk_terminal.etf.etf_controller"
+
+    if mocked_func:
+        mock = mocker.Mock()
+        mocker.patch(
+            target=f"{path_controller}.{mocked_func}",
+            new=mock,
+        )
+
+        controller = etf_controller.ETFController(queue=None)
+        controller.etf_name = "MOCK_ETF_NAME"
+        controller.etf_data = DF_ETF
+        controller.etf_holdings = ["MOCK", "HOLDINGS"]
+
+        getattr(controller, tested_func)(other_args)
+
+        if called_args or called_kwargs:
+            mock.assert_called_once_with(*called_args, **called_kwargs)
+        else:
+            mock.assert_called_once()
+    else:
+        controller = etf_controller.ETFController(queue=None)
+        controller.etf_name = "MOCK_ETF_NAME"
+        controller.etf_data = DF_ETF
+        controller.etf_holdings = ["MOCK", "HOLDINGS"]
+        getattr(controller, tested_func)(other_args)
+
+
+@pytest.mark.vcr
+def test_call_load(mocker):
+    # FORCE SINGLE THREADING
+    yf_download = etf_controller.yf.download
+
+    def mock_yf_download(*args, **kwargs):
+        kwargs["threads"] = False
+        return yf_download(*args, **kwargs)
+
+    mocker.patch("yfinance.download", side_effect=mock_yf_download)
+
+    controller = etf_controller.ETFController(queue=None)
+    other_args = ["ARKW", "--start=2021-12-15", "--end=2021-12-18", "--limit=5"]
+    controller.call_load(other_args=other_args)
+
+
+@pytest.mark.vcr
+@pytest.mark.record_stdout
+def test_call_candle(mocker):
+    # FORCE SINGLE THREADING
+    yf_download = etf_controller.yf.download
+
+    def mock_yf_download(*args, **kwargs):
+        kwargs["threads"] = False
+        return yf_download(*args, **kwargs)
+
+    mocker.patch("yfinance.download", side_effect=mock_yf_download)
+
+    # MOCK GTFF
+    mocker.patch.object(target=etf_controller.gtff, attribute="USE_ION", new=True)
+
+    # MOCK CHARTS
+    mocker.patch(target="gamestonk_terminal.etf.etf_controller.plt.ion")
+    mocker.patch(target="gamestonk_terminal.etf.etf_controller.plt.show")
+    mocker.patch(target="gamestonk_terminal.etf.etf_controller.mpf.plot")
+
+    controller = etf_controller.ETFController(queue=None)
+    other_args = ["ARKW", "--start=2021-12-15", "--end=2021-12-18", "--limit=5"]
+    controller.call_load(other_args=other_args)
+    controller.call_candle(other_args=[])
+
+
+@pytest.mark.vcr(record_mode="none")
+def test_call_news(mocker):
+    mocker.patch(
+        target="gamestonk_terminal.etf.etf_controller.yf.Ticker",
+    )
+    mocker.patch(
+        target="gamestonk_terminal.etf.etf_controller.yf.Ticker.info",
+        return_value={"shortName": "ARK Next Generation Internet ET"},
+    )
+    mock_news = mocker.Mock()
+    mocker.patch(
+        target="gamestonk_terminal.etf.etf_controller.newsapi_view.news",
+        new=mock_news,
+    )
+
+    controller = etf_controller.ETFController(queue=None)
+    controller.etf_name = "MOCK_ETF_NAME"
+
+    controller.call_news(other_args=["-l=3", "-s=bbc"])
+
+    mock_news.assert_called_once()

tests/gamestonk_terminal/etf/test_financedatabase_model.py

@@ -0,0 +1,63 @@
+# IMPORTATION STANDARD
+
+# IMPORTATION THIRDPARTY
+import pytest
+
+# IMPORTATION INTERNAL
+from gamestonk_terminal.etf import financedatabase_model
+
+
+@pytest.fixture(scope="module")
+def vcr_config():
+    return {
+        "filter_headers": [("User-Agent", None)],
+    }
+
+
+@pytest.mark.vcr
+@pytest.mark.parametrize(
+    "name",
+    [
+        "oil",
+        "bank",
+    ],
+)
+def test_get_etfs_by_name(recorder, name):
+    result = financedatabase_model.get_etfs_by_name(name)
+
+    recorder.capture(result)
+
+
+@pytest.mark.vcr
+@pytest.mark.parametrize(
+    "description",
+    [
+        "oil",
+        "bank",
+    ],
+)
+def test_get_etfs_by_description(recorder, description):
+    result = financedatabase_model.get_etfs_by_description(description)
+
+    recorder.capture(result)
+
+
+@pytest.mark.vcr()
+@pytest.mark.parametrize(
+    "category",
+    [
+        "Bank Loan",
+        "Bear Market",
+    ],
+)
+def test_get_etfs_by_category(recorder, category):
+    result = financedatabase_model.get_etfs_by_category(category)
+
+    recorder.capture(result)
+
+
+@pytest.mark.vcr()
+def test_get_all_names_symbols(recorder):
+    result = financedatabase_model.get_etfs_categories()
+
+    recorder.capture_list(result)

tests/gamestonk_terminal/etf/test_financedatabase_view.py

@@ -0,0 +1,56 @@
+# IMPORTATION STANDARD
+
+# IMPORTATION THIRDPARTY
+import pytest
+
+# IMPORTATION INTERNAL
+from gamestonk_terminal.etf import financedatabase_view
+
+
+@pytest.fixture(scope="module")
+def vcr_config():
+    return {
+        "filter_headers": [("User-Agent", None)],
+    }
+
+
+@pytest.mark.vcr()
+@pytest.mark.record_stdout
+@pytest.mark.parametrize(
+    "name",
+    ["oil", "banks"],
+)
+def test_display_etf_by_name(name, mocker):
+    mocker.patch.object(
+        target=financedatabase_view.gtff, attribute="USE_TABULATE_DF", new=False
+    )
+    financedatabase_view.display_etf_by_name(name, limit=5, export="")
+
+
+@pytest.mark.vcr()
+@pytest.mark.record_stdout
+@pytest.mark.parametrize(
+    "description",
+    ["oil", "banks"],
+)
+def test_display_etf_by_description(description, mocker):
+    mocker.patch.object(
+        target=financedatabase_view.gtff, attribute="USE_TABULATE_DF", new=False
+    )
+    financedatabase_view.display_etf_by_description(description, limit=5, export="")
+
+
+@pytest.mark.vcr()
+@pytest.mark.record_stdout
+@pytest.mark.parametrize(
+    "category",
+    [
+        "Bank Loan",
+        "Bear Market",
+    ],
+)
+def test_display_etf_by_category(category, mocker):
+    mocker.patch.object(
+        target=financedatabase_view.gtff, attribute="USE_TABULATE_DF", new=False
+    )
+    financedatabase_view.display_etf_by_category(category, limit=5, export="")