Merge with develop (#5551)

2026-10-27 12:40:35 +00:00 · 2023-10-12 16:01:00 +02:00
parent 9dbc7b97b5
commit ab480cfd73
121 changed files with 28675 additions and 152686 deletions
--- a/.github/workflows/linting.yml
+++ b/.github/workflows/linting.yml
@@ -44,7 +44,7 @@ jobs:
          restore-keys: ${{ runner.os }}-linting-${{ hashFiles('**/poetry.lock') }}

      - run: |
-          pip install bandit black codespell mypy==1.5.1 pylint==2.17.0 ruff==0.0.285
+          pip install bandit black codespell==2.2.5 mypy==1.5.1 pylint==2.17.0 ruff==0.0.285
          pip install types-pytz types-requests types-termcolor types-tabulate types-PyYAML types-python-dateutil types-setuptools types-six
      - run: bandit -x ./tests -r . || true
      - run: black --diff --check .
--- a/build/docker/compose.env
+++ b/build/docker/compose.env
@@ -1,2 +1,2 @@
 OPENBBTERMINAL_DOCKER_REGISTRY="ghcr.io"
-OPENBBTERMINAL_DOCKER_RELEASE_VERSION="3.2.2"
+OPENBBTERMINAL_DOCKER_RELEASE_VERSION="3.2.3"
--- a/build/nsis/setup.nsi
+++ b/build/nsis/setup.nsi
@@ -10,18 +10,18 @@
  !define NAME "OpenBB Terminal"
  !define COMPANY "OpenBB"
  !define APPFILE "OpenBBTerminal.exe"
-  !define VERSION "3.2.2"
+  !define VERSION "3.2.3"
  !define SLUG "${NAME} v${VERSION}"

 ;--------------------------------
 ; Info for Installer.exe
-  VIProductVersion 3.2.0.0
+  VIProductVersion 3.2.3.0
  VIAddVersionKey ProductName "OpenBB Terminal"
  VIAddVersionKey Comments "An installer for OpenBB Terminal. For additional details, visit OpenBB.co"
  VIAddVersionKey CompanyName OpenBB.co
  VIAddVersionKey FileDescription "OpenBB Terminal Program"
-  VIAddVersionKey FileVersion 3.2.2.0
-  VIAddVersionKey ProductVersion 3.2.2.0
+  VIAddVersionKey FileVersion 3.2.3.0
+  VIAddVersionKey ProductVersion 3.2.3.0
  VIAddVersionKey InternalName "OpenBB Terminal"

 ;--------------------------------
--- a/build/pyinstaller/macOS/build-macos.sh
+++ b/build/pyinstaller/macOS/build-macos.sh
@@ -119,6 +119,7 @@ signFiles() {
    echo "Code Sign OpenBB Executable File"
    codesign --deep --force --verify --verbose --options runtime --entitlements "$ENTITLEMENTS" -s "$APPLE_SIGNING_IDENTITY" build/pyinstaller/macOS/target/darwinpkg/Applications/OpenBB\ Terminal/.OpenBB/OpenBBTerminal
    codesign --deep --force --verify --verbose --options runtime --entitlements "$ENTITLEMENTS" -s "$APPLE_SIGNING_IDENTITY" build/pyinstaller/macOS/target/darwinpkg/Applications/OpenBB\ Terminal/.OpenBB/OpenBBPlotsBackend
+    codesign --deep --force --verify --verbose --options runtime --entitlements "$ENTITLEMENTS" -s "$APPLE_SIGNING_IDENTITY" build/pyinstaller/macOS/target/darwinpkg/Applications/OpenBB\ Terminal/.OpenBB/pywry
 }

 createInstallationDirectory() {
--- a/build/pyinstaller/version.rc
+++ b/build/pyinstaller/version.rc
@@ -6,8 +6,8 @@ VSVersionInfo(
  ffi=FixedFileInfo(
    # filevers and prodvers should be always a tuple with four items: (1, 2, 3, 4)
    # Set not needed items to zero 0.
-    filevers=(3, 2, 2, 0),
-    prodvers=(3, 2, 2, 0),
+    filevers=(3, 2, 3, 0),
+    prodvers=(3, 2, 3, 0),
    # Contains a bitmask that specifies the valid bits 'flags'r
    mask=0x0,
    # Contains a bitmask that specifies the Boolean attributes of the file.
@@ -32,10 +32,10 @@ VSVersionInfo(
        [StringStruct('Comments', 'The OpenBB Terminal. For additional details, visit OpenBB.co'),
        StringStruct('CompanyName', 'OpenBB'),
        StringStruct('FileDescription', 'OpenBB Terminal Program'),
-        StringStruct('FileVersion', '3.2.2.0'),
+        StringStruct('FileVersion', '3.2.3.0'),
        StringStruct('InternalName', 'OpenBB Terminal'),
        StringStruct('ProductName', 'OpenBB Terminal'),
-        StringStruct('ProductVersion', '3.2.2.0')])
+        StringStruct('ProductVersion', '3.2.3.0')])
      ]),
    VarFileInfo([VarStruct('Translation', [1033, 1200])])
  ]
--- a/openbb_terminal/core/models/system_model.py
+++ b/openbb_terminal/core/models/system_model.py
@@ -28,7 +28,7 @@ class SystemModel(BaseModel):
    PLATFORM: str = str(platform.platform())

    # OpenBB section
-    VERSION: str = "3.2.2"
+    VERSION: str = "3.2.3"

    # Logging section
    LOGGING_APP_ID: str = "REPLACE_ME"
--- a/openbb_terminal/etf/etf_controller.py
+++ b/openbb_terminal/etf/etf_controller.py
@@ -50,6 +50,7 @@ class ETFController(BaseController):
        "load",
        "overview",
        "holdings",
+        "holding_perf",
        "news",
        "candle",
        "weights",
@@ -106,6 +107,7 @@ class ETFController(BaseController):
        mt.add_raw("\n")
        mt.add_cmd("overview", self.etf_name)
        mt.add_cmd("holdings", self.etf_name)
+        mt.add_cmd("holding_perf", self.etf_name)
        mt.add_cmd("weights", self.etf_name)
        mt.add_cmd("news", self.etf_name)
        mt.add_cmd("candle", self.etf_name)
@@ -638,3 +640,60 @@ class ETFController(BaseController):
                if ns_parser.sheet_name
                else None,
            )
+
+    @log_start_end(log=logger)
+    def call_holding_perf(self, other_args: List[str]):
+        """Process holdings performance command"""
+
+        parser = argparse.ArgumentParser(
+            add_help=False,
+            formatter_class=argparse.ArgumentDefaultsHelpFormatter,
+            prog="holding_perf",
+            description="Look at ETF company holdings' performance",
+        )
+        parser.add_argument(
+            "-s",
+            "--start-date",
+            type=valid_date,
+            default=(datetime.now().date() - timedelta(days=366)),
+            dest="start",
+            help="The starting date (format YYYY-MM-DD) to get each holding's price",
+        )
+        parser.add_argument(
+            "-e",
+            "--end-date",
+            type=valid_date,
+            default=datetime.now().date(),
+            dest="end",
+            help="The ending date (format YYYY-MM-DD) to get each holding's price",
+        )
+        parser.add_argument(
+            "-l",
+            "--limit",
+            type=check_positive,
+            dest="limit",
+            help="Number of holdings to get",
+            default=20,
+        )
+        if other_args and "-" not in other_args[0][0]:
+            other_args.insert(0, "-l")
+
+        ns_parser = self.parse_known_args_and_warn(
+            parser,
+            other_args,
+            export_allowed=EXPORT_BOTH_RAW_DATA_AND_FIGURES,
+            raw=True,
+        )
+        if ns_parser:
+            if self.etf_name:
+                fmp_view.view_etf_holdings_performance(
+                    ticker=self.etf_name,
+                    start_date=ns_parser.start,
+                    end_date=ns_parser.end,
+                    limit=ns_parser.limit,
+                    export=ns_parser.export,
+                    sheet_name=ns_parser.sheet_name,
+                    raw=ns_parser.raw,
+                )
+            else:
+                console.print("Please load a ticker using <load name>. \n")
--- a/openbb_terminal/etf/fmp_model.py
+++ b/openbb_terminal/etf/fmp_model.py
@@ -3,13 +3,16 @@ __docformat__ = "numpy"

 import json
 import logging
-from typing import Dict
+from typing import Any, Dict, List
 from urllib.error import HTTPError
 from urllib.request import urlopen

+import pandas as pd
+
 from openbb_terminal.core.session.current_user import get_current_user
-from openbb_terminal.decorators import log_start_end
-from openbb_terminal.rich_config import console
+from openbb_terminal.decorators import check_api_key, log_start_end
+from openbb_terminal.helper_funcs import request
+from openbb_terminal.rich_config import console, optional_rich_track

 logger = logging.getLogger(__name__)

@@ -47,3 +50,158 @@ def get_etf_sector_weightings(name: str) -> Dict:
        raise ValueError(data["Error Message"])

    return data
+
+
+@log_start_end(log=logger)
+@check_api_key(["API_KEY_FINANCIALMODELINGPREP"])
+def get_stock_price_change(
+    tickers: List[str], start_date: str, end_date: str
+) -> Dict[str, float]:
+    """Get stock's price percent change over specified time period.
+
+    Parameters
+    ----------
+    tickers : List[str]
+        Ticker(s) to get information for.
+    start: str
+        Date from which data is fetched in format YYYY-MM-DD
+    end: str
+        Date from which data is fetched in format YYYY-MM-DD
+
+    Returns
+    -------
+    Dict[str, float]
+        Percent change of closing price over time period, or dictionary of ticker, change pairs.
+    """
+    tickers_tracker = optional_rich_track(
+        tickers, False, "Gathering stock prices", len(tickers)
+    )
+    current_user = get_current_user()
+    data_aggregate = dict()
+
+    for tick in tickers_tracker:
+        tickers_req = str(tick) + ","
+        for _ in range(4):
+            try:
+                _tick = next(tickers_tracker)
+                tickers_req += _tick + ","
+            except StopIteration:
+                break
+
+        url = f"""https://financialmodelingprep.com/api/v3/historical-price-full/{tickers_req}?\
+from={start_date}&to={end_date}&serietype=line\
+&apikey={current_user.credentials.API_KEY_FINANCIALMODELINGPREP}"""
+
+        response = request(url)
+        if response.status_code != 200 or "Error Message" in response.json():
+            message = f"Error, Status Code: {response.status_code}."
+            message = (
+                message
+                if "Error Message" not in response.json()
+                else message + "\n" + response.json()["Error Message"] + ".\n"
+            )
+            console.print(message)
+            return dict()
+
+        data = response.json()
+        stock_list = data
+        if "historicalStockList" in data:
+            stock_list = data["historicalStockList"]
+
+        for stock in stock_list:
+            close_end = stock["historical"][0]["close"]
+            close_start = stock["historical"][-1]["close"]
+            pct_change = 100 * (close_end - close_start) / close_start
+            data_aggregate[stock["symbol"]] = pct_change
+
+    return data_aggregate
+
+
+@log_start_end(log=logger)
+@check_api_key(["API_KEY_FINANCIALMODELINGPREP"])
+def get_etf_holdings(ticker: str, limit: int = 10) -> List[Dict[str, Any]]:
+    """This endpoint returns all stocks held by a specific ETF.
+
+    Parameters
+    ----------
+    ticker : str
+        ETF ticker.
+    limit: int
+        Limit amount of stocks to return. FMP returns data
+        by descending weighting.
+
+    Returns
+    -------
+    List[Dict[str,any]]
+        Info for stock holdings in the ETF.
+    """
+
+    current_user = get_current_user()
+    url = f"""https://financialmodelingprep.com/api/v3/etf-holder/{ticker}\
+?apikey={current_user.credentials.API_KEY_FINANCIALMODELINGPREP}"""
+    response = request(url)
+    if response.status_code != 200 or "Error Message" in response.json():
+        message = f"Error, Status Code: {response.status_code}."
+        message = (
+            message
+            if "Error Message" not in response.json()
+            else message + "\n" + response.json()["Error Message"] + ".\n"
+        )
+        console.print(message)
+        return []
+
+    return response.json()[0:limit]
+
+
+@log_start_end(log=logger)
+@check_api_key(["API_KEY_FINANCIALMODELINGPREP"])
+def get_holdings_pct_change(
+    ticker: str,
+    start_date: str,
+    end_date: str,
+    limit: int = 10,
+) -> pd.DataFrame:
+    """Calculate percent change for each holding in ETF.
+
+    Parameters
+    ----------
+    ticker : str
+        ETF ticker.
+    limit: int
+        Limit amount of stocks to return. FMP returns data
+        by descending weighting.
+
+    Returns
+    -------
+    pd.DataFrame
+        Calculated percentage change for each stock in the ETF, in descending order.
+    """
+
+    df = pd.DataFrame(columns=["Ticker", "Name", "Percent Change"], data=[])
+    holdings = get_etf_holdings(ticker, limit)
+    tickers = []
+    for stock in holdings:
+        tickers.append(stock.get("asset", " "))
+
+    pct_changes = get_stock_price_change(tickers, start_date, end_date)
+
+    for stock in holdings:
+        pct_change = pct_changes.get(stock["asset"], 0)
+        if pct_change == 0:
+            console.print(
+                f"""Percent change not found for: {stock["asset"]}: {stock["name"]}"""
+            )
+        new_df = pd.DataFrame(
+            {
+                "Ticker": stock["asset"],
+                "Name": stock["name"],
+                "Percent Change": pct_changes.get(stock["asset"], 0),
+            },
+            index=[0],
+        )
+
+        df = pd.concat([df, new_df], ignore_index=True)
+
+    sorted_df = df.sort_values(by="Percent Change", ascending=False, inplace=False)
+
+    return sorted_df
--- a/openbb_terminal/etf/fmp_view.py
+++ b/openbb_terminal/etf/fmp_view.py
@@ -8,12 +8,9 @@ from typing import Optional
 import pandas as pd

 from openbb_terminal import OpenBBFigure, theme
-from openbb_terminal.decorators import log_start_end
+from openbb_terminal.decorators import check_api_key, log_start_end
 from openbb_terminal.etf import fmp_model
-from openbb_terminal.helper_funcs import (
-    export_data,
-    print_rich_table,
-)
+from openbb_terminal.helper_funcs import export_data, print_rich_table
 from openbb_terminal.rich_config import console

 logger = logging.getLogger(__name__)
@@ -120,3 +117,80 @@ def display_etf_weightings(
        )

    return fig.show(external=external_axes)
+
+
+@log_start_end(log=logger)
+@check_api_key(["API_KEY_FINANCIALMODELINGPREP"])
+def view_etf_holdings_performance(
+    ticker: str,
+    start_date: str,
+    end_date: str,
+    limit: int = 10,
+    raw: bool = False,
+    export: str = "",
+    sheet_name: Optional[str] = None,
+):
+    """Display ETF's holdings' performance over specified time. [Source: FinancialModelingPrep]
+    Parameters
+    ----------
+    ticker: str
+        ETF ticker.
+    start_date: str
+        Date from which data is fetched in format YYYY-MM-DD.
+    end: str
+        Date from which data is fetched in format YYYY-MM-DD.
+    limit: int
+        Limit number of holdings to view. Sorted by holding percentage (desc).
+    raw: bool
+        Display holding performance
+    sheet_name: str
+        Optionally specify the name of the sheet the data is exported to.
+    export: str
+        Type of format to export data.
+    """
+    data = fmp_model.get_holdings_pct_change(ticker, start_date, end_date, limit)[::-1]
+
+    if raw:
+        print_rich_table(
+            data,
+            show_index=False,
+            headers=["Ticker", "Name", "Percent Change"],
+            title="ETF Holdings' Performance",
+            limit=limit,
+            export=bool(export),
+        )
+
+    fig = OpenBBFigure()
+
+    if not raw or fig.is_image_export(export):
+        fig.add_bar(
+            hovertext=[f"{x:.2f}" + "%" for x in data["Percent Change"]],
+            x=data["Percent Change"],
+            y=data["Name"],
+            name="Stock",
+            orientation="h",
+            marker_color=[
+                "darkgreen" if x > 0 else "darkred" for x in data["Percent Change"]
+            ],
+        )
+
+        fig.update_layout(
+            title=f"Percent Change in Price for Each Holding from {start_date} to {end_date} for {ticker}",
+            xaxis=dict(title="Percent Change"),
+            yaxis=dict(title="Asset Name"),
+        )
+
+    if export:
+        export_data(
+            export_type=export,
+            dir_path=os.path.dirname(os.path.abspath(__file__)),
+            func_name=f"{ticker}_holdings_perf",
+            df=data,
+            sheet_name=sheet_name,
+            figure=fig,
+        )
+        return
+
+    fig.show(external=raw or bool(export))
+
+    return
--- a/openbb_terminal/forecast/helpers.py
+++ b/openbb_terminal/forecast/helpers.py
@@ -986,8 +986,9 @@ def dt_format(x) -> str:
    Returns:
        x: formatted string
    """
-    x = pd.to_datetime(x)
-    x = x.strftime("%Y-%m-%d")
+    # x = pd.to_datetime(x, infer_datetime_format=False)
+
+    # x = x.strftime("%Y-%m-%d") if x.time() == datetime.time(0,0) else x.strftime("%Y-%m-%d %H:%M:%S")
    return x


@@ -1002,9 +1003,10 @@ def get_series(
        df=data,
        time_col=time_col,
        value_cols=[target_column],
-        freq="B",
+        freq=None,
        fill_missing_dates=True,
    )
+    freq = "D"
    try:
        # for the sdk, we must check if date is a column not an index
        # check if date is in the index, if true, reset the index
@@ -1014,7 +1016,10 @@ def get_series(
            # reset the index
            data.reset_index(drop=True, inplace=True)
            # remove 00:00:00 from 2019-11-19 00:00:00
-            data[time_col] = data[time_col].apply(lambda x: dt_format(x))
+            # data[time_col] = data[time_col].apply(lambda x: dt_format(x))
+            freq = pd.infer_freq(data[time_col])
+
+        filler_kwargs["freq"] = freq

        ticker_series = TimeSeries.from_dataframe(**filler_kwargs)
    except ValueError:
@@ -1078,7 +1083,7 @@ def get_prediction(
 ):
    _, val = ticker_series.split_before(train_split)

-    console.print(f"Predicting {model_name} for {n_predict} days")
+    console.print(f"Predicting {model_name} for {n_predict} periods")
    if model_name not in ["Regression", "Logistic Regression"]:
        # need to create a new pytorch trainer for historical backtesting to remove progress bar
        best_model.trainer = None
--- a/openbb_terminal/forecast/timegpt_model.py
+++ b/openbb_terminal/forecast/timegpt_model.py
@@ -69,9 +69,9 @@ def get_timegpt_model(
        levels = [80, 95]

    if isinstance(data[time_col].values[0], pd.Timestamp):
-        data[time_col] = data[time_col].dt.strftime("%Y-%m-%d")
+        data[time_col] = data[time_col].dt.strftime("%Y-%m-%d %H:%M:%S")
    elif isinstance(data[time_col].values[0], numpy.datetime64):
-        data[time_col] = pd.to_datetime(data[time_col]).dt.strftime("%Y-%m-%d")
+        data[time_col] = pd.to_datetime(data[time_col]).dt.strftime("%Y-%m-%d %H:%M:%S")

    date_features_param = True if "auto" in date_features else date_features  # type: ignore

--- a/openbb_terminal/miscellaneous/i18n/en.yml
+++ b/openbb_terminal/miscellaneous/i18n/en.yml
@@ -702,6 +702,7 @@ en:
  etf/scr: screener ETFs                 overview/performance, using preset filters
  etf/overview: get overview
  etf/holdings: top company holdings
+  etf/holding_perf: Performance of holdings in ETF.
  etf/weights: sector weights allocation
  etf/candle: view a candle chart for ETF
  etf/news: latest news of the company
--- a/openbb_terminal/miscellaneous/integration_tests_scripts/etf/test_etf.openbb
+++ b/openbb_terminal/miscellaneous/integration_tests_scripts/etf/test_etf.openbb
@@ -2,6 +2,7 @@ etf
 load spy
 overview
 holdings
+holdings_perf --limit 3
 weights
 weights --raw
 candle
--- a/openbb_terminal/miscellaneous/sources/openbb_default.json
+++ b/openbb_terminal/miscellaneous/sources/openbb_default.json
@@ -504,7 +504,8 @@
    "holdings": ["StockAnalysis"],
    "weights": ["FinancialModelingPrep"],
    "news": ["NewsApi"],
-    "compare": ["StockAnalysis"]
+    "compare": ["StockAnalysis"],
+    "holding_perf": ["FinancialModelingPrep"]
  },
  "economy": {
    "overview": ["WallStreetJournal"],
--- a/openbb_terminal/stocks/fundamental_analysis/av_model.py
+++ b/openbb_terminal/stocks/fundamental_analysis/av_model.py
@@ -724,17 +724,17 @@ def get_dupont(symbol: str) -> pd.DataFrame:
            )
        return pd.DataFrame()

-    if not df_bs.index.equals(df_is.index):
-        console.print(
-            "The fiscal dates in the balance sheet do not correspond to the fiscal dates in the income statement."
-        )
-        return pd.DataFrame()
-
    # pylint: disable=no-member
    df_bs = df_bs.set_index("fiscalDateEnding")
    df_is = df_is.set_index("fiscalDateEnding")
    dupont_years = pd.DataFrame()

+    if len(df_bs) != len(df_is):
+        console.print(
+            "The fiscal dates in the balance sheet do not correspond to the fiscal dates in the income statement."
+        )
+        return pd.DataFrame()
+
    for i in range(len(df_bs)):
        ni = df_values(df_is, "netIncome", i, 1)
        pretax = df_values(df_is, "incomeBeforeTax", i, 1)
--- a/openbb_terminal/stocks/options/tradier_model.py
+++ b/openbb_terminal/stocks/options/tradier_model.py
@@ -393,9 +393,9 @@ def get_underlying_price(symbol: str) -> pd.Series:
            "root_symbols": "rootSymbols",
        }
    )
-    underlying_price[
+    underlying_price[  # pylint: disable=unsupported-assignment-operation
        "lastTradeTimestamp"
-    ] = (  # pylint: disable=unsupported-assignment-operation
+    ] = (
        pd.to_datetime(underlying_price["lastTradeTimestamp"], unit="ms").tz_localize(
            "EST"
        )
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "openbb"
-version = "3.2.2"
+version = "3.2.3"
 description = "Investment Research for Everyone, Anywhere."
 license = "MIT"
 authors = ["OpenBB <hello@openbb.co>"]
@@ -40,7 +40,7 @@ robin-stocks = "^2.0.3"
 pycoingecko = "^3.1.0"
 detecta = "^0.0.5"
 tradingview-ta = "^3.2.3"
-finvizfinance = "0.14.6rc2"
+finvizfinance = "0.14.7rc1"
 statsmodels = "^0.13"
 python-coinmarketcap = "^0.2"
 oandapyV20 = "^0.6.3"
--- a/requirements-full.txt
+++ b/requirements-full.txt
@@ -98,7 +98,7 @@ filelock==3.12.2 ; python_full_version >= "3.8.1" and python_full_version != "3.
 financedatabase==2.1.0 ; python_full_version >= "3.8.1" and python_full_version != "3.9.7" and python_version < "3.11"
 finnhub-python==2.4.18 ; python_full_version >= "3.8.1" and python_full_version != "3.9.7" and python_version < "3.11"
 finviz==1.4.6 ; python_full_version >= "3.8.1" and python_full_version != "3.9.7" and python_version < "3.11"
-finvizfinance==0.14.6rc2 ; python_full_version >= "3.8.1" and python_full_version != "3.9.7" and python_version < "3.11"
+finvizfinance==0.14.7rc1 ; python_full_version >= "3.8.1" and python_full_version != "3.9.7" and python_version < "3.11"
 flake8==6.0.0 ; python_full_version >= "3.8.1" and python_full_version != "3.9.7" and python_version < "3.11"
 flask==2.3.2 ; python_full_version >= "3.8.1" and python_version < "3.11" and python_full_version != "3.9.7"
 fonttools==4.41.0 ; python_full_version >= "3.8.1" and python_full_version != "3.9.7" and python_version < "3.11"
--- a/requirements.txt
+++ b/requirements.txt
@@ -65,7 +65,7 @@ ffn==0.3.6 ; python_full_version >= "3.8.1" and python_full_version != "3.9.7" a
 financedatabase==2.1.0 ; python_full_version >= "3.8.1" and python_full_version != "3.9.7" and python_version < "3.11"
 finnhub-python==2.4.18 ; python_full_version >= "3.8.1" and python_full_version != "3.9.7" and python_version < "3.11"
 finviz==1.4.6 ; python_full_version >= "3.8.1" and python_full_version != "3.9.7" and python_version < "3.11"
-finvizfinance==0.14.6rc2 ; python_full_version >= "3.8.1" and python_full_version != "3.9.7" and python_version < "3.11"
+finvizfinance==0.14.7rc1 ; python_full_version >= "3.8.1" and python_full_version != "3.9.7" and python_version < "3.11"
 flake8==6.0.0 ; python_full_version >= "3.8.1" and python_full_version != "3.9.7" and python_version < "3.11"
 fonttools==4.41.0 ; python_full_version >= "3.8.1" and python_full_version != "3.9.7" and python_version < "3.11"
 formulaic==0.6.4 ; python_full_version >= "3.8.1" and python_full_version != "3.9.7" and python_version < "3.11"
--- a/tests/openbb_terminal/economy/cassettes/test_finviz_model/test_get_futures.yaml
+++ b/tests/openbb_terminal/economy/cassettes/test_finviz_model/test_get_futures.yaml
@@ -1,177 +0,0 @@
-interactions:
- request:
-    body: null
-    headers:
-      Accept:
-      - '*/*'
-      Accept-Encoding:
-      - gzip, deflate
-      Connection:
-      - keep-alive
-    method: GET
-    uri: https://finviz.com/futures.ashx
-  response:
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-      - 6ef634be0fdafaa4-AMS
-      Cache-Control:
-      - no-cache
-      Connection:
-      - keep-alive
-      Content-Encoding:
-      - gzip
-      Content-Type:
-      - text/html; charset=utf-8
-      Date:
-      - Mon, 21 Mar 2022 11:04:18 GMT
-      Expect-CT:
-      - max-age=604800, report-uri="https://report-uri.cloudflare.com/cdn-cgi/beacon/expect-ct"
-      Server:
-      - cloudflare
-      Transfer-Encoding:
-      - chunked
-      alt-svc:
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-      request-context:
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-      set-cookie:
-      - preventRedirectLoop=false; expires=Sun, 20 Mar 2022 11:04:18 GMT; domain=.finviz.com;
-        path=/
-      vary:
-      - Accept-Encoding
-      x-frame-options:
-      - SAMEORIGIN
-      x-powered-by:
-      - ASP.NET
-      - ARR/3.0
-      - ASP.NET
-    status:
-      code: 200
-      message: OK
-version: 1
--- a/tests/openbb_terminal/economy/cassettes/test_finviz_model/test_get_performance_data.yaml
+++ b/tests/openbb_terminal/economy/cassettes/test_finviz_model/test_get_performance_data.yaml
@@ -1,382 +0,0 @@
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-      Connection:
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--- a/tests/openbb_terminal/economy/cassettes/test_finviz_model/test_get_valuation_performance_data[performance].yaml
+++ b/tests/openbb_terminal/economy/cassettes/test_finviz_model/test_get_valuation_performance_data[performance].yaml
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--- a/tests/openbb_terminal/economy/cassettes/test_finviz_model/test_get_valuation_performance_data[valuation].yaml
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--- a/tests/openbb_terminal/economy/cassettes/test_finviz_view/test_display_future.yaml
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--- a/tests/openbb_terminal/economy/cassettes/test_finviz_view/test_display_performance.yaml
+++ b/tests/openbb_terminal/economy/cassettes/test_finviz_view/test_display_performance.yaml
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-      Content-Encoding:
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--- a/tests/openbb_terminal/economy/cassettes/test_finviz_view/test_display_valuation.yaml
+++ b/tests/openbb_terminal/economy/cassettes/test_finviz_view/test_display_valuation.yaml
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-        AL0nxvqDjAAA
-    headers:
-      CF-Cache-Status:
-      - DYNAMIC
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-      - 6ef634c6b8b59745-AMS
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-      - keep-alive
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-      - gzip
-      Content-Type:
-      - text/html; charset=utf-8
-      Date:
-      - Mon, 21 Mar 2022 11:04:20 GMT
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-      - max-age=604800, report-uri="https://report-uri.cloudflare.com/cdn-cgi/beacon/expect-ct"
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-      - cloudflare
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-      set-cookie:
-      - preventRedirectLoop=false; expires=Sun, 20 Mar 2022 11:04:20 GMT; domain=.finviz.com;
-        path=/
-      vary:
-      - Accept-Encoding
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-version: 1
--- a/tests/openbb_terminal/economy/csv/test_finviz_model/test_get_futures.csv
+++ b/tests/openbb_terminal/economy/csv/test_finviz_model/test_get_futures.csv
@@ -1,9 +0,0 @@
-label,prevClose,last,change
-DJIA,34633.0,34487.0,-0.42
-VIX,25.6406,26.05,1.6
-Nasdaq 100,14413.5,14356.0,-0.4
-Nikkei 225,27085.0,27045.0,-0.15
-Euro Stoxx 50,3806.0,3815.0,0.24
-S&P 500,4453.5,4442.5,-0.25
-Russell 2000,2080.2,2071.5,-0.42
-DAX,14376.0,14425.0,0.34
--- a/tests/openbb_terminal/economy/csv/test_finviz_model/test_get_performance_data.csv
+++ b/tests/openbb_terminal/economy/csv/test_finviz_model/test_get_performance_data.csv
@@ -1,12 +0,0 @@
-,Name,1W,1M,3M,6M,1Y,YTD,Recom,Avg Volume,Rel Volume,Change,Volume
-0,Basic Materials,0.015300000000000001,0.0603,-0.0966,-0.07629999999999999,-0.1213,-0.11689999999999999,2.2,496760000.0,1.0,0.0123,198760000.0
-1,Communication Services,0.0297,0.006500000000000001,-0.0002,-0.18309999999999998,-0.26780000000000004,-0.2419,1.94,766430000.0,1.25,0.0109,384640000.0
-2,Consumer Cyclical,0.0213,0.10189999999999999,0.0603,-0.1272,-0.192,-0.20809999999999998,2.11,1380000000.0,1.53,0.013500000000000002,848690000.0
-3,Consumer Defensive,-0.005,0.0302,-0.023399999999999997,-0.024700000000000003,-0.0074,-0.0521,2.3,388050000.0,0.9,0.005,139260000.0
-4,Energy,-0.026000000000000002,0.0528,-0.08439999999999999,0.0378,0.364,0.24050000000000002,2.2,803950000.0,0.78,0.0103,252140000.0
-5,Financial,0.0109,0.056900000000000006,-0.012199999999999999,-0.1409,-0.1143,-0.12029999999999999,2.26,901980000.0,0.9,0.004699999999999999,324500000.0
-6,Healthcare,0.0138,0.014499999999999999,0.0292,-0.0151,-0.1005,-0.0981,2.09,1530000000.0,1.23,0.005,756090000.0
-7,Industrials,0.0108,0.10279999999999999,0.026600000000000002,-0.0315,-0.0721,-0.09970000000000001,2.28,644630000.0,1.11,0.0037,286850000.0
-8,Real Estate,0.0058,0.051699999999999996,-0.0021,-0.0876,-0.10060000000000001,-0.16670000000000001,2.18,378360000.0,0.78,0.0078000000000000005,118150000.0
-9,Technology,0.0256,0.10439999999999999,0.0366,-0.1199,-0.1441,-0.2133,2.0,1610000000.0,1.21,-0.0037,781240000.0
-10,Utilities,0.009000000000000001,0.0713,0.0349,0.0876,0.0931,0.038599999999999995,2.34,153710000.0,0.68,0.0064,42160000.0
--- a/tests/openbb_terminal/economy/csv/test_finviz_model/test_get_valuation_data.csv
+++ b/tests/openbb_terminal/economy/csv/test_finviz_model/test_get_valuation_data.csv
@@ -1,12 +0,0 @@
-,Name,Market Cap,P/E,Fwd P/E,PEG,P/S,P/B,P/C,P/FCF,EPS past 5Y,EPS next 5Y,Sales past 5Y,Change,Volume
-0,Basic Materials,1864.89B,8.8,10.57,0.88,1.25,1.86,10.9,15.01,0.2824,0.0999,0.1259,0.0123,198760000.0
-1,Communication Services,6295.06B,18.52,15.86,1.27,2.64,2.75,12.65,33.58,0.20600000000000002,0.1461,0.1942,0.0109,384640000.0
-2,Consumer Cyclical,6695.57B,24.52,13.15,0.96,0.98,3.26,10.64,46.69,0.3063,0.2551,0.22469999999999998,0.013500000000000002,848690000.0
-3,Consumer Defensive,3675.65B,24.12,21.5,2.6,1.36,4.08,23.58,65.66,0.0762,0.09269999999999999,0.049400000000000006,0.005,139260000.0
-4,Energy,3413.67B,8.38,6.65,0.53,0.69,1.36,8.67,9.77,0.4094,0.157,0.11259999999999999,0.0103,252140000.0
-5,Financial,8833.34B,12.49,12.75,1.37,2.54,0.01,0.52,11.78,0.20420000000000002,0.0909,0.0754,0.004699999999999999,324500000.0
-6,Healthcare,7448.63B,23.36,15.95,2.4,2.02,4.13,12.8,28.39,0.16390000000000002,0.0973,0.1623,0.005,756090000.0
-7,Industrials,4621.61B,21.95,16.55,1.72,1.77,3.76,13.85,31.3,0.16079999999999997,0.12789999999999999,0.0601,0.0037,286850000.0
-8,Real Estate,1775.14B,29.79,20.12,2.65,5.16,1.71,26.37,73.16,0.1104,0.1125,0.0983,0.0078000000000000005,118150000.0
-9,Technology,12591.31B,27.34,20.7,1.83,4.43,5.4,16.16,35.72,0.2329,0.149,0.156,-0.0037,781240000.0
-10,Utilities,1502.59B,24.3,3.59,3.24,2.02,1.54,32.41,71.33,0.0274,0.0751,0.0559,0.0064,42160000.0
--- a/tests/openbb_terminal/economy/csv/test_finviz_model/test_get_valuation_performance_data[performance].csv
+++ b/tests/openbb_terminal/economy/csv/test_finviz_model/test_get_valuation_performance_data[performance].csv
@@ -1,12 +0,0 @@
-,Name,Perf Week,Perf Month,Perf Quart,Perf Half,Perf Year,Perf YTD,Recom,Avg Volume,Rel Volume,Change,Volume
-0,Basic Materials,3.03%,0.0337,0.0721,0.12119999999999999,0.1058,0.04190000000000001,2.21,564390000.0,1.7,0.006999999999999999,961360000.0
-1,Communication Services,6.37%,-0.0258,-0.10310000000000001,-0.1558,-0.0248,-0.11449999999999999,1.88,764960000.0,1.78,0.0169,1360000000.0
-2,Consumer Cyclical,10.93%,-0.050499999999999996,-0.0915,-0.10220000000000001,-0.0962,-0.1226,2.06,1340000000.0,1.78,0.0256,2390000000.0
-3,Consumer Defensive,4.75%,-0.0126,-0.0218,0.0161,0.0506,-0.0392,2.23,455720000.0,1.71,0.0063,779270000.0
-4,Energy,-1.82%,0.0352,0.24539999999999998,0.3398,0.3865,0.23190000000000002,2.23,887410000.0,1.38,-0.0003,1230000000.0
-5,Financial,6.90%,-0.031,-0.0012,0.0172,0.07769999999999999,-0.0049,2.23,1050000000.0,1.67,0.0059,1750000000.0
-6,Healthcare,6.69%,0.029900000000000003,-0.0388,-0.0592,0.039900000000000005,-0.0565,2.05,1420000000.0,1.66,0.0086,2360000000.0
-7,Industrials,5.41%,0.0143,-0.0165,0.016399999999999998,0.0458,-0.04,2.26,672710000.0,1.56,0.0062,1050000000.0
-8,Real Estate,2.91%,0.0155,-0.051500000000000004,-0.0096,0.1091,-0.0902,2.22,355260000.0,1.98,0.0031,702840000.0
-9,Technology,8.89%,-0.030600000000000002,-0.0989,-0.0704,0.10300000000000001,-0.1294,1.98,1650000000.0,1.91,0.025099999999999997,3160000000.0
-10,Utilities,0.90%,0.060899999999999996,0.006500000000000001,0.0638,0.11449999999999999,-0.012199999999999999,2.32,161370000.0,2.25,-0.0063,362510000.0
--- a/tests/openbb_terminal/economy/csv/test_finviz_model/test_get_valuation_performance_data[valuation].csv
+++ b/tests/openbb_terminal/economy/csv/test_finviz_model/test_get_valuation_performance_data[valuation].csv
@@ -1,12 +0,0 @@
-,Name,Market Cap,P/E,Fwd P/E,PEG,P/S,P/B,P/C,P/FCF,EPS past 5Y,EPS next 5Y,Sales past 5Y,Change,Volume
-0,Basic Materials,2260.70B,11.05,14.06,0.74,1.63,2.3,13.15,20.31,0.30219999999999997,0.1501,0.1231,0.006999999999999999,961360000.0
-1,Communication Services,7417.63B,21.39,15.17,1.05,3.45,3.26,14.19,34.05,0.2059,0.20329999999999998,0.2022,0.0169,1360000000.0
-2,Consumer Cyclical,7410.15B,25.88,14.36,1.14,1.1,3.56,10.19,41.54,0.2838,0.22649999999999998,0.20120000000000002,0.0256,2390000000.0
-3,Consumer Defensive,3737.73B,24.83,21.23,2.68,1.39,4.09,20.36,43.2,0.085,0.0925,0.048600000000000004,0.0063,779270000.0
-4,Energy,3488.00B,12.39,9.63,1.11,0.96,1.26,10.18,14.97,0.2792,0.1112,0.08779999999999999,-0.0003,1230000000.0
-5,Financial,10142.30B,12.87,13.7,1.04,2.96,0.01,0.59,12.79,0.1888,0.124,0.07339999999999999,0.0059,1750000000.0
-6,Healthcare,7812.17B,24.97,15.52,2.22,2.23,3.66,12.91,29.47,0.1617,0.11230000000000001,0.1602,0.0086,2360000000.0
-7,Industrials,4981.60B,23.34,17.07,1.56,2.02,4.0,13.74,32.77,0.1624,0.1492,0.056600000000000004,0.0062,1050000000.0
-8,Real Estate,1786.12B,27.99,31.37,2.79,5.64,1.83,23.32,61.52,0.1051,0.1005,0.1014,0.0031,702840000.0
-9,Technology,14089.76B,30.43,22.63,1.76,5.14,4.53,16.32,35.65,0.248,0.17309999999999998,0.1491,0.025099999999999997,3160000000.0
-10,Utilities,1445.62B,26.13,3.29,3.71,1.82,1.42,32.47,65.99,0.0141,0.0704,0.052000000000000005,-0.0063,362510000.0
--- a/tests/openbb_terminal/economy/json/test_finviz_model/test_get_futures.json
+++ b/tests/openbb_terminal/economy/json/test_finviz_model/test_get_futures.json
--- a/tests/openbb_terminal/economy/test_commodity_view.py
+++ b/tests/openbb_terminal/economy/test_commodity_view.py
@@ -1,15 +1,8 @@
 """Test the commodity view."""

-import pytest

 from openbb_terminal.economy import commodity_view


 def test_format_large_numbers():
    commodity_view.format_large_numbers(1_000_000_000_000)
-
-
-@pytest.mark.vcr(record_mode="none")
-@pytest.mark.record_stdout
-def test_display_debt():
-    commodity_view.display_debt()
--- a/tests/openbb_terminal/economy/test_finviz_model.py
+++ b/tests/openbb_terminal/economy/test_finviz_model.py
@@ -1,82 +0,0 @@
-# IMPORTATION STANDARD
-
-# IMPORTATION THIRDPARTY
-import pytest
-
-# IMPORTATION INTERNAL
-from openbb_terminal.economy import finviz_model
-
-
-@pytest.fixture(scope="module")
-def vcr_config():
-    return {
-        "filter_headers": [("User-Agent", None)],
-    }
-
-
-@pytest.mark.vcr(record_mode="none")
-def test_get_performance_map(mocker):
-    # MOCK EXPORT_DATA
-    mock_open = mocker.Mock()
-    mocker.patch(
-        target="openbb_terminal.economy.finviz_model.webbrowser.open", new=mock_open
-    )
-
-    finviz_model.get_performance_map(period="1w", map_filter="sp500")
-
-    mock_open.assert_called_once()
-
-
-@pytest.mark.vcr
-def test_get_valuation_data(recorder):
-    result_df = finviz_model.get_valuation_data(group="sector")
-
-    recorder.capture(result_df)
-
-
-@pytest.mark.vcr
-def test_get_performance_data(recorder):
-    result_df = finviz_model.get_performance_data(group="sector")
-
-    recorder.capture(result_df)
-
-
-@pytest.mark.vcr(record_mode="none")
-def test_get_spectrum_data(mocker):
-    # MOCK screener_view
-    mock_spectrum = mocker.Mock()
-    mocker.patch(
-        target="openbb_terminal.economy.finviz_model.spectrum",
-        new=mock_spectrum,
-    )
-    finviz_model.get_spectrum_data(group="sector")
-
-    mock_spectrum.Spectrum().screener_view.assert_called_with(group="Sector")
-
-
-@pytest.mark.vcr
-def test_get_futures(recorder):
-    result_dict = finviz_model.get_futures()
-
-    recorder.capture(result_dict)
-
-
-def test_get_groups():
-    result = finviz_model.get_groups()
-    assert result == [
-        "sector",
-        "industry",
-        "basic_materials",
-        "communication_services",
-        "consumer_cyclical",
-        "consumer_defensive",
-        "energy",
-        "financial",
-        "healthcare",
-        "industrials",
-        "real_Estate",
-        "technology",
-        "utilities",
-        "country",
-        "capitalization",
-    ]
--- a/tests/openbb_terminal/economy/test_finviz_view.py
+++ b/tests/openbb_terminal/economy/test_finviz_view.py
@@ -1,115 +0,0 @@
-# IMPORTATION STANDARD
-
-
-# IMPORTATION THIRDPARTY
-import pytest
-
-# IMPORTATION INTERNAL
-from openbb_terminal.core.session.current_user import (
-    PreferencesModel,
-    copy_user,
-)
-from openbb_terminal.economy import finviz_view
-
-
-@pytest.fixture(scope="module")
-def vcr_config():
-    return {
-        "filter_headers": [("User-Agent", None)],
-    }
-
-
-@pytest.mark.default_cassette("test_display_valuation")
-@pytest.mark.vcr
-@pytest.mark.record_stdout
-@pytest.mark.parametrize(
-    "tab",
-    [
-        True,
-        False,
-    ],
-)
-def test_display_valuation(mocker, tab):
-    # MOCK OBBFF
-    preferences = PreferencesModel(
-        USE_TABULATE_DF=tab,
-    )
-    mock_current_user = copy_user(preferences=preferences)
-    mocker.patch(
-        target="openbb_terminal.core.session.current_user.__current_user",
-        new=mock_current_user,
-    )
-
-    # MOCK EXPORT_DATA
-    mocker.patch(target="openbb_terminal.economy.finviz_view.export_data")
-
-    finviz_view.display_valuation(
-        group="sector",
-        sortby="Name",
-        ascend=True,
-        export="",
-    )
-
-
-@pytest.mark.default_cassette("test_display_performance")
-@pytest.mark.vcr
-@pytest.mark.record_stdout
-@pytest.mark.parametrize(
-    "tab",
-    [
-        True,
-        False,
-    ],
-)
-def test_display_performance(mocker, tab):
-    # MOCK OBBFF
-    preferences = PreferencesModel(
-        USE_TABULATE_DF=tab,
-    )
-    mock_current_user = copy_user(preferences=preferences)
-    mocker.patch(
-        target="openbb_terminal.core.session.current_user.__current_user",
-        new=mock_current_user,
-    )
-
-    # MOCK EXPORT_DATA
-    mocker.patch(target="openbb_terminal.economy.finviz_view.export_data")
-
-    finviz_view.display_performance(
-        group="sector",
-        sortby="Name",
-        ascend=True,
-        export="",
-    )
-
-
-@pytest.mark.default_cassette("test_display_future")
-@pytest.mark.vcr
-@pytest.mark.record_stdout
-@pytest.mark.parametrize(
-    "tab",
-    [
-        True,
-        False,
-    ],
-)
-def test_display_future(mocker, tab):
-    # MOCK OBBFF
-    preferences = PreferencesModel(
-        USE_TABULATE_DF=tab,
-    )
-    mock_current_user = copy_user(preferences=preferences)
-    mocker.patch(
-        target="openbb_terminal.core.session.current_user.__current_user",
-        new=mock_current_user,
-    )
-
-    # MOCK EXPORT_DATA
-    mocker.patch(target="openbb_terminal.economy.finviz_view.export_data")
-
-    finviz_view.display_future(
-        future_type="Indices",
-        sortby="ticker",
-        ascend=False,
-        export="",
-    )
--- a/tests/openbb_terminal/economy/txt/test_commodity_view/test_display_debt.txt
+++ b/tests/openbb_terminal/economy/txt/test_commodity_view/test_display_debt.txt
@@ -1,210 +1,210 @@
-     Rank                  As Of                           Country  USD Per Capita        USD Debt  % of GDP
-0       1           January 2023                     United States           94188  31000000000000    121.08
-1       2              June 2022                    United Kingdom          129203   8730000000000    273.06
-2       3              June 2022                            France          107245   7040000000000    253.35
-3       4              June 2022                           Germany           77607   6460000000000    160.35
-4       5              June 2022                             Japan           34841   4360000000000    101.41
-5       7              June 2022                             China            1866   2640000000000     14.39
-6       8       31 December 2017                             Italy           42300   2510000000000    141.00
-7       9       31 December 2017                             Spain           48700   2260000000000    170.00
-8       6       31 December 2017                            Canada           52300   3200000000000    143.00
-9      10      30 September 2020                         Australia           71906   1830000000000    130.00
-10     11       31 December 2017                       Switzerland          213100   1820000000000    285.00
-11     12           30 June 2021                         Singapore          231000   1670000000000    471.00
-12     13           30 June 2017                           Belgium          112000   1280000000000    269.00
-13     14           January 2023                            Mexico            3300    769000000000     51.70
-14     15       31 December 2020                           Austria           84061    757000000000    165.00
-15     16              June 2022                            Norway          132676    721000000000    133.40
-16     17         September 2022                       South Korea            7500    719000000000     48.10
-17     18          31 March 2022                           Finland           24578    613900000000    218.00
-18     19         September 2022                             India             437    610500000000     19.20
-19     20      30 September 2017                            Brazil            3200    556000000000     38.00
-20     21          December 2021                       Netherlands           26540    555000000000     52.00
-21     22           January 2023                         Indonesia            1431    518000000000     39.50
-22     23           30 June 2017                           Denmark           85700    492000000000    158.00
-23     24       1 September 2021                            Russia            3700    489000000000     32.00
-24     25          31 March 2022                            Turkey            5155    444000000000     55.00
-25     26      30 September 2022                         Argentina            6037    382000000000     79.30
-26     27         September 2022                            Greece           42800    350000000000    175.70
-27     28          December 2022                            Poland            9500    344000000000     49.30
-28     29          December 2022                          Portugal           39478    292000000000    113.90
-29     30           January 2023                          Thailand            2170    285000000000     53.60
-30     31           January 2023                       Philippines            3623    251000000000     60.90
-31     32          December 2022                          Malaysia            6800    245000000000     60.40
-32     33       31 December 2017                           Ireland           49000    228000000000    701.00
-33     34           30 June 2021                           Ukraine            2200    225000000000     81.00
-34     35  31 December 2016 est.              United Arab Emirates           23500    220000000000     59.00
-35     36  31 December 2016 est.                      Saudi Arabia            6100    201000000000     31.00
-36     37           30 June 2018                         Mauritius          148000    200000000000      2.01
-37     38           30 June 2018                            Taiwan            7400    199000000000     28.00
-38     39          31 March 2020                       New Zealand           38400    192000000000     90.00
-39     40          31 March 2019                             Chile            9771    187000000000     82.00
-40     41   31 January 2015 est.       Puerto Rico (United States)           47800    167000000000    164.00
-41     41          31 March 2017                        Kazakhstan            9100    167000000000     91.00
-42     43  31 December 2016 est.                             Qatar           68100    159000000000     83.00
-43     44        March 2022 est.                             Egypt             700    158000000000     34.00
-44     45           30 June 2017                           Hungary           15000    148000000000    160.00
-45     46       31 December 2016                      South Africa            2600    143000000000     57.00
-46     47          December 2021                           Vietnam             500    142000000000     39.10
-47     48       31 December 2016                    Czech Republic           13000    138000000000     76.00
-48     49      30 September 2021                          Pakistan             554    122000000000     43.00
-49     50        31 January 2017                          Colombia            2500    121000000000     57.00
-50     51           30 June 2017                            Cyprus           97200    120000000000    849.00
-51     52      30 September 2015                         Venezuela            3500    111000000000     23.00
-52     53           31 July 2017                           Romania            5100    109000000000     58.00
-53     54           30 June 2017                             Malta          223000     96300000000    691.00
-54     55      30 september 2022                            Sweden           94330     94900000000     23.00
-55     56           30 June 2017                            Israel           10700     89400000000     33.00
-56     57           30 June 2017                          Slovakia           15900     86600000000    112.00
-57     58        16 October 2021                        Bangladesh             460     78400000000     22.00
-58     59       31 December 2016                              Peru            2300     74700000000     44.00
-59     60  31 December 2016 est.                              Iraq            1800     68000000000     44.00
-60     61           1 March 2022                           Morocco            1400     63700000000     46.00
-61     62          30 April 2020                          Slovenia           25000     52000000000    104.00
-62     63  31 December 2016 est.                            Kuwait           11700     47900000000     51.00
-63     64       31 December 2016                         Sri Lanka            2200     46600000000     68.00
-64     65           30 June 2017                           Croatia           10700     46100000000     74.00
-65     66       31 December 2015                             Sudan            1100     45000000000    121.00
-66     67           30 June 2017                            Latvia           21200     41100000000    126.00
-67     68        31 January 2018                          Bulgaria            5700     40400000000     63.00
-68     69          30 April 2022                           Lebanon            6000     39600000000    220.00
-69     70           30 June 2017                           Belarus            4000     39000000000     66.00
-70     71  31 December 2016 est.                            Angola            1400     37700000000     41.00
-71     72         31 August 2017                           Ecuador            2100     36700000000     57.00
-72     73           30 June 2017                         Lithuania           12700     36400000000     74.00
-73     74           30 June 2017                            Serbia            3200     28000000000     62.00
-74     75           30 June 2017                            Jordan            3400     27800000000     83.00
-75     76  31 December 2016 est.                              Cuba            2300     26300000000     34.00
-76     77       31 December 2016                           Uruguay            7600     26100000000     50.00
-77     77  31 December 2016 est.                Dominican Republic            2400     26100000000     36.00
-78     79           30 June 2017                          Mongolia            7800     25200000000    245.00
-79     80       31 December 2012                           Tunisia            2200     25100000000     97.00
-80     81  31 December 2016 est.                        Costa Rica            5100     24900000000     43.00
-81     82           30 June 2017                           Iceland           72700     24400000000     81.00
-82     83  31 December 2016 est.                          Ethiopia             220     22500000000     32.00
-83     84           30 June 2017                             Kenya             370     22200000000     26.00
-84     85  31 December 2016 est.                  Papua New Guinea            2800     22000000000    111.00
-85     86       31 December 2016                 Trinidad & Tobago           15700     21500000000     76.00
-86     87  31 December 2016 est.                             Ghana             700     21200000000     30.00
-87     87  31 December 2016 est.                           Bahrain           14900     21200000000     66.00
-88     89  31 December 2016 est.                              Oman            4400     20900000000     35.00
-89     90       31 December 2016                           Estonia           15700     20500000000     89.00
-90     91  31 December 2016 est.                         Guatemala            1100     19100000000     28.00
-91     92  31 December 2014 est.                             Palau          846000     18400000000      6.21
-92     93       28 February 2018                            Panama            4400     18300000000    157.00
-93     94  31 December 2013 est.                           Bahamas           44200     17600000000    194.00
-94     95  31 December 2016 est.                           Jamaica            6000     16800000000    122.00
-95     96      30 June 2010 est.                            Monaco          434000     16500000000    240.00
-96     97           30 June 2017                           Georgia            3900     16400000000    128.00
-97     98       31 December 2016                          Paraguay            2400     16100000000     54.00
-98     99  31 December 2016 est.                          Tanzania             280     15900000000     34.00
-99    100  31 December 2016 est.                        Uzbekistan             500     15800000000     24.00
-100   101           30 June 2017                           Nigeria              60     15000000000      2.00
-101   102  31 December 2016 est.                       El Salvador            2400     14900000000     56.00
-102   103  31 December 2016 est.                              Laos            1700     12000000000     53.00
-103   104  31 December 2016 est.                         Nicaragua            1800     11100000000     83.00
-104   105  31 December 2016 est.                          Zimbabwe             670     10900000000     77.00
-105   106          31 March 2020                        Luxembourg          114704     10600000000     22.10
-106   107       31 December 2020                           Albania            3634     10500000000     66.00
-107   108       31 December 2015                       Ivory Coast             420     10000000000     24.00
-108   109       31 December 2016                          Cambodia             600      9820000000     57.00
-109   110  31 December 2016 est.                        Mozambique             320      9550000000     72.00
-110   111  31 December 2016 est.                            Zambia             540      9270000000     45.00
-111   112  31 December 2016 est.                          Honduras            1000      8040000000     38.00
-112   113       31 December 2016                        Kyrgyzstan            1300      7870000000    112.00
-113   114       31 December 2016                   North Macedonia            3700      7650000000     73.00
-114   115  31 December 2016 est.                          Cameroon             300      7380000000     24.00
-115   116        31 January 2015                             Yemen             260      7190000000     21.00
-116   117  31 December 2016 est.                              Iran              90      7120000000      2.00
-117   118       31 December 2016                        Azerbaijan            1300      6910000000     22.00
-118   119       31 December 2016                           Moldova            1600      6590000000     70.00
-119   120  31 December 2016 est.                           Namibia            2500      6520000000     64.00
-120   122       31 December 2015                           Bolivia             600      6340000000     33.00
-121   123  31 December 2016 est.                            Uganda             150      6240000000     24.00
-122   124  31 December 2016 est.                           Senegal             390      6190000000     42.00
-123   125       31 December 2020                           Armenia            2043      6050000000    102.00
-124   121       31 December 2015                           Myanmar             120      6400000000     17.00
-125   126  31 December 2016 est.                             Syria             300      5920000000     24.00
-126   127  31 December 2016 est.  Democratic Republic of the Congo              70      5330000000     13.00
-127   128  31 December 2016 est.                             Gabon            2900      5160000000     35.00
-128   129              2013 est.                       North Korea             200      5000000000     18.00
-129   130  31 December 2016 est.             Republic of the Congo            1000      4820000000     55.00
-130   131           30 June 2017            Bosnia and Herzegovina            1300      4720000000     23.00
-131   132              2010 est.                          Barbados           15700      4490000000    100.00
-132   133          26 March 2021                        Montenegro            6742      4410000000    151.00
-133   134  31 December 2016 est.                        Madagascar             160      4010000000     41.00
-134   135       31 December 2019                           Algeria              89      3840000000      2.00
-135   136  31 December 2016 est.                              Mali             200      3630000000     26.00
-136   137  31 December 2016 est.                        Mauritania             840      3590000000     76.00
-137   138  31 December 2016 est.                             Libya             550      3530000000      9.00
-138   139           31 July 2015                             Nepal             120      3450000000     16.00
-139   140  31 December 2016 est.                      Burkina Faso             160      3090000000     26.00
-140   141  31 December 2013 est.                           Somalia             270      3050000000     52.00
-141   142  31 December 2016 est.                             Niger             130      2730000000     36.00
-142   143  31 December 2016 est.                        Seychelles           26200      2550000000    180.00
-143   144  31 December 2016 est.                            Rwanda             200      2440000000     29.00
-144   144              2015 est.                      Bermuda (UK)           39700      2440000000     47.00
-145   146           30 June 2017                            Kosovo            1200      2390000000     37.00
-146   147  31 December 2016 est.                             Benin             200      2340000000     26.00
-147   148       31 December 2016                        Tajikistan             260      2270000000     38.00
-148   149  31 December 2016 est.                            Bhutan            2900      2260000000    108.00
-149   150  31 December 2016 est.                             Haiti             180      2020000000     24.00
-150   151  31 December 2016 est.                            Malawi             100      1920000000     39.00
-151   151                   2017                       South Sudan             167      1920000000     62.70
-152   153  31 December 2016 est.                              Chad             130      1880000000     18.00
-153   154          31 March 2017                          Botswana             720      1690000000      8.00
-154   155     31 March 2016 est.                         Palestine             340      1660000000     35.00
-155   155  31 December 2016 est.                        Cape Verde            3100      1660000000     99.00
-156   157  31 December 2016 est.                      Sierra Leone             230      1560000000     36.00
-157   158  31 December 2016 est.                 Equatorial Guinea            1500      1360000000     12.00
-158   159  31 December 2016 est.                          Djibouti            1500      1340000000     71.00
-159   160  31 December 2016 est.                            Guinea             100      1330000000     20.00
-160   160  31 December 2016 est.                            Belize            3500      1330000000     75.00
-161   162             FY-2010/11                       Afghanistan              40      1280000000      7.00
-162   163  31 December 2016 est.                          Suriname            2200      1240000000     30.00
-163   164  31 December 2016 est.                              Togo             150      1170000000     26.00
-164   165       31 December 2015                            Guyana            1500      1140000000     36.00
-165   166              2014 est.                           Andorra           14345      1110000000     41.00
-166   166  31 December 2016 est.                           Liberia             230      1110000000     51.00
-167   168  31 December 2010 est.                     Guinea-Bissau             570      1100000000     94.00
-168   169  31 December 2016 est.                           Lesotho             430       949000000     53.00
-169   170                   2010           Faroe Islands (Denmark)           18400       889000000     38.00
-170   171  31 December 2016 est.                              Fiji             900       833000000     18.00
-171   172  31 December 2016 est.                           Eritrea             150       820000000     15.00
-172   173              2014 est.                          Maldives            2000       742000000     23.00
-173   174  31 December 2016 est.                           Burundi              60       705000000     26.00
-174   175  31 December 2014 est.                             Aruba            6600       693000000     28.00
-175   176  31 December 2016 est.          Central African Republic             130       687000000     39.00
-176   177              2013 est.                           Grenada            6300       679000000     66.00
-177   178  31 December 2016 est.                            Gambia             260       542000000     61.00
-178   179  31 December 2016 est.                       Saint Lucia            2700       513000000     36.00
-179   180  31 December 2016 est.                      Turkmenistan              90       503000000      1.00
-180   181  31 December 2013 est.                   Solomon Islands             800       492000000     40.00
-181   182  31 December 2016 est.                          Eswatini             360       471000000     14.00
-182   183  31 December 2013 est.                             Samoa            2300       447000000     51.00
-183   184       31 December 2012               Antigua and Barbuda            4700       441000000     34.00
-184   185                   2016                        San Marino           10604       352000000     23.00
-185   186                   2017                            Brunei           27200       340000000      2.80
-186   187  31 December 2016 est.  Saint Vincent and the Grenadines            2900       321000000     42.00
-187   188  31 December 2014 est.                       Timor-Leste             250       312000000     12.00
-188   189  31 December 2016 est.                          Dominica            3900       289000000     55.00
-189   190       31 December 2011                      Cook Islands           13400       281000000     23.00
-190   191  31 December 2016 est.             Sao Tome and Principe            1200       237000000     67.00
-191   192  31 December 2016 est.                             Tonga            2200       233000000     54.00
-192   193  31 December 2016 est.                           Vanuatu             750       208000000     27.00
-193   194  31 December 2016 est.             Saint Kitts and Nevis            3300       188000000     20.00
-194   195  31 December 2016 est.                           Comoros             160       133000000     21.00
-195   196  31 December 2013 est.            New Caledonia (France)             420       112000000      1.00
-196   197              2013 est.                  Marshall Islands            1800        98000000     52.00
-197   198              2013 est.                        Micronesia             900        93600000     29.00
-198   199              1998 est.               Cayman Islands (UK)            2100        79000000      7.00
-199   200                   2010               Greenland (Denmark)             650        36400000      2.00
-200   201              2004 est.                             Nauru            3200        33300000     22.00
-201   202       31 December 2016       British Virgin Islands (UK)             570        17700000      2.00
-202   203              2017 est.                            Tuvalu            1224        14800000     37.00
-203   204              2013 est.                          Kiribati             120        13600000      8.00
-204   205                   1998                     Anguilla (UK)             590         8800000      5.00
-205   206                   2004        Wallis and Futuna (France)             280         3670000      6.00
-206   207       31 December 2011                   Montserrat (UK)             200         1040000      2.00
-207   208                   2001                     Liechtenstein               0               0      0.00
-208   208        27 October 2016                Niue (New Zealand)               0               0      0.00
+     Rank                  As Of                           Country USD Per Capita            USD Debt  % of GDP
+0       1           January 2023                     United States         94,188  31,000,000,000,000    121.08
+1       2              June 2022                    United Kingdom        129,203   8,730,000,000,000    273.06
+2       3              June 2022                            France        107,245   7,040,000,000,000    253.35
+3       4              June 2022                           Germany         77,607   6,460,000,000,000    160.35
+4       5              June 2022                             Japan         34,841   4,360,000,000,000    101.41
+5       7              June 2022                             China          1,866   2,640,000,000,000     14.39
+6       8       31 December 2017                             Italy         42,300   2,510,000,000,000    141.00
+7       9       31 December 2017                             Spain         48,700   2,260,000,000,000    170.00
+8       6       31 December 2017                            Canada         52,300   3,200,000,000,000    143.00
+9      10      30 September 2020                         Australia         71,906   1,830,000,000,000    130.00
+10     11       31 December 2017                       Switzerland        213,100   1,820,000,000,000    285.00
+11     12           30 June 2021                         Singapore        231,000   1,670,000,000,000    471.00
+12     13           30 June 2017                           Belgium        112,000   1,280,000,000,000    269.00
+13     14           January 2023                            Mexico          3,300     769,000,000,000     51.70
+14     15       31 December 2020                           Austria         84,061     757,000,000,000    165.00
+15     16              June 2022                            Norway        132,676     721,000,000,000    133.40
+16     17         September 2022                       South Korea          7,500     719,000,000,000     48.10
+17     18          31 March 2022                           Finland         24,578     613,900,000,000    218.00
+18     19         September 2022                             India            437     610,500,000,000     19.20
+19     20      30 September 2017                            Brazil          3,200     556,000,000,000     38.00
+20     21          December 2021                       Netherlands         26,540     555,000,000,000     52.00
+21     22           January 2023                         Indonesia          1,431     518,000,000,000     39.50
+22     23           30 June 2017                           Denmark         85,700     492,000,000,000    158.00
+23     24       1 September 2021                            Russia          3,700     489,000,000,000     32.00
+24     25          31 March 2022                            Turkey          5,155     444,000,000,000     55.00
+25     26      30 September 2022                         Argentina          6,037     382,000,000,000     79.30
+26     27         September 2022                            Greece         42,800     350,000,000,000    175.70
+27     28          December 2022                            Poland          9,500     344,000,000,000     49.30
+28     29          December 2022                          Portugal         39,478     292,000,000,000    113.90
+29     30           January 2023                          Thailand          2,170     285,000,000,000     53.60
+30     31           January 2023                       Philippines          3,623     251,000,000,000     60.90
+31     32          December 2022                          Malaysia          6,800     245,000,000,000     60.40
+32     33       31 December 2017                           Ireland         49,000     228,000,000,000    701.00
+33     34           30 June 2021                           Ukraine          2,200     225,000,000,000     81.00
+34     35  31 December 2016 est.              United Arab Emirates         23,500     220,000,000,000     59.00
+35     36  31 December 2016 est.                      Saudi Arabia          6,100     201,000,000,000     31.00
+36     37           30 June 2018                         Mauritius        148,000     200,000,000,000      2.01
+37     38           30 June 2018                            Taiwan          7,400     199,000,000,000     28.00
+38     39          31 March 2020                       New Zealand         38,400     192,000,000,000     90.00
+39     40          31 March 2019                             Chile          9,771     187,000,000,000     82.00
+40     41   31 January 2015 est.       Puerto Rico (United States)         47,800     167,000,000,000    164.00
+41     41          31 March 2017                        Kazakhstan          9,100     167,000,000,000     91.00
+42     43  31 December 2016 est.                             Qatar         68,100     159,000,000,000     83.00
+43     44        March 2022 est.                             Egypt            700     158,000,000,000     34.00
+44     45           30 June 2017                           Hungary         15,000     148,000,000,000    160.00
+45     46       31 December 2016                      South Africa          2,600     143,000,000,000     57.00
+46     47          December 2021                           Vietnam            500     142,000,000,000     39.10
+47     48       31 December 2016                    Czech Republic         13,000     138,000,000,000     76.00
+48     49      30 September 2021                          Pakistan            554     122,000,000,000     43.00
+49     50        31 January 2017                          Colombia          2,500     121,000,000,000     57.00
+50     51           30 June 2017                            Cyprus         97,200     120,000,000,000    849.00
+51     52      30 September 2015                         Venezuela          3,500     111,000,000,000     23.00
+52     53           31 July 2017                           Romania          5,100     109,000,000,000     58.00
+53     54           30 June 2017                             Malta        223,000      96,300,000,000    691.00
+54     55      30 september 2022                            Sweden         94,330      94,900,000,000     23.00
+55     56           30 June 2017                            Israel         10,700      89,400,000,000     33.00
+56     57           30 June 2017                          Slovakia         15,900      86,600,000,000    112.00
+57     58        16 October 2021                        Bangladesh            460      78,400,000,000     22.00
+58     59       31 December 2016                              Peru          2,300      74,700,000,000     44.00
+59     60  31 December 2016 est.                              Iraq          1,800      68,000,000,000     44.00
+60     61           1 March 2022                           Morocco          1,400      63,700,000,000     46.00
+61     62          30 April 2020                          Slovenia         25,000      52,000,000,000    104.00
+62     63  31 December 2016 est.                            Kuwait         11,700      47,900,000,000     51.00
+63     64       31 December 2016                         Sri Lanka          2,200      46,600,000,000     68.00
+64     65           30 June 2017                           Croatia         10,700      46,100,000,000     74.00
+65     66       31 December 2015                             Sudan          1,100      45,000,000,000    121.00
+66     67           30 June 2017                            Latvia         21,200      41,100,000,000    126.00
+67     68        31 January 2018                          Bulgaria          5,700      40,400,000,000     63.00
+68     69          30 April 2022                           Lebanon          6,000      39,600,000,000    220.00
+69     70           30 June 2017                           Belarus          4,000      39,000,000,000     66.00
+70     71  31 December 2016 est.                            Angola          1,400      37,700,000,000     41.00
+71     72         31 August 2017                           Ecuador          2,100      36,700,000,000     57.00
+72     73           30 June 2017                         Lithuania         12,700      36,400,000,000     74.00
+73     74           30 June 2017                            Serbia          3,200      28,000,000,000     62.00
+74     75           30 June 2017                            Jordan          3,400      27,800,000,000     83.00
+75     76  31 December 2016 est.                              Cuba          2,300      26,300,000,000     34.00
+76     77       31 December 2016                           Uruguay          7,600      26,100,000,000     50.00
+77     77  31 December 2016 est.                Dominican Republic          2,400      26,100,000,000     36.00
+78     79           30 June 2017                          Mongolia          7,800      25,200,000,000    245.00
+79     80       31 December 2012                           Tunisia          2,200      25,100,000,000     97.00
+80     81  31 December 2016 est.                        Costa Rica          5,100      24,900,000,000     43.00
+81     82           30 June 2017                           Iceland         72,700      24,400,000,000     81.00
+82     83  31 December 2016 est.                          Ethiopia            220      22,500,000,000     32.00
+83     84           30 June 2017                             Kenya            370      22,200,000,000     26.00
+84     85  31 December 2016 est.                  Papua New Guinea          2,800      22,000,000,000    111.00
+85     86       31 December 2016                 Trinidad & Tobago         15,700      21,500,000,000     76.00
+86     87  31 December 2016 est.                             Ghana            700      21,200,000,000     30.00
+87     87  31 December 2016 est.                           Bahrain         14,900      21,200,000,000     66.00
+88     89  31 December 2016 est.                              Oman          4,400      20,900,000,000     35.00
+89     90       31 December 2016                           Estonia         15,700      20,500,000,000     89.00
+90     91  31 December 2016 est.                         Guatemala          1,100      19,100,000,000     28.00
+91     92  31 December 2014 est.                             Palau        846,000      18,400,000,000      6.21
+92     93       28 February 2018                            Panama          4,400      18,300,000,000    157.00
+93     94  31 December 2013 est.                           Bahamas         44,200      17,600,000,000    194.00
+94     95  31 December 2016 est.                           Jamaica          6,000      16,800,000,000    122.00
+95     96      30 June 2010 est.                            Monaco        434,000      16,500,000,000    240.00
+96     97           30 June 2017                           Georgia          3,900      16,400,000,000    128.00
+97     98       31 December 2016                          Paraguay          2,400      16,100,000,000     54.00
+98     99  31 December 2016 est.                          Tanzania            280      15,900,000,000     34.00
+99    100  31 December 2016 est.                        Uzbekistan            500      15,800,000,000     24.00
+100   101           30 June 2017                           Nigeria             60      15,000,000,000      2.00
+101   102  31 December 2016 est.                       El Salvador          2,400      14,900,000,000     56.00
+102   103  31 December 2016 est.                              Laos          1,700      12,000,000,000     53.00
+103   104  31 December 2016 est.                         Nicaragua          1,800      11,100,000,000     83.00
+104   105  31 December 2016 est.                          Zimbabwe            670      10,900,000,000     77.00
+105   106          31 March 2020                        Luxembourg        114,704      10,600,000,000     22.10
+106   107       31 December 2020                           Albania          3,634      10,500,000,000     66.00
+107   108       31 December 2015                       Ivory Coast            420      10,000,000,000     24.00
+108   109       31 December 2016                          Cambodia            600       9,820,000,000     57.00
+109   110  31 December 2016 est.                        Mozambique            320       9,550,000,000     72.00
+110   111  31 December 2016 est.                            Zambia            540       9,270,000,000     45.00
+111   112  31 December 2016 est.                          Honduras          1,000       8,040,000,000     38.00
+112   113       31 December 2016                        Kyrgyzstan          1,300       7,870,000,000    112.00
+113   114       31 December 2016                   North Macedonia          3,700       7,650,000,000     73.00
+114   115  31 December 2016 est.                          Cameroon            300       7,380,000,000     24.00
+115   116        31 January 2015                             Yemen            260       7,190,000,000     21.00
+116   117  31 December 2016 est.                              Iran             90       7,120,000,000      2.00
+117   118       31 December 2016                        Azerbaijan          1,300       6,910,000,000     22.00
+118   119       31 December 2016                           Moldova          1,600       6,590,000,000     70.00
+119   120  31 December 2016 est.                           Namibia          2,500       6,520,000,000     64.00
+120   122       31 December 2015                           Bolivia            600       6,340,000,000     33.00
+121   123  31 December 2016 est.                            Uganda            150       6,240,000,000     24.00
+122   124  31 December 2016 est.                           Senegal            390       6,190,000,000     42.00
+123   125       31 December 2020                           Armenia          2,043       6,050,000,000    102.00
+124   121       31 December 2015                           Myanmar            120       6,400,000,000     17.00
+125   126  31 December 2016 est.                             Syria            300       5,920,000,000     24.00
+126   127  31 December 2016 est.  Democratic Republic of the Congo             70       5,330,000,000     13.00
+127   128  31 December 2016 est.                             Gabon          2,900       5,160,000,000     35.00
+128   129              2013 est.                       North Korea            200       5,000,000,000     18.00
+129   130  31 December 2016 est.             Republic of the Congo          1,000       4,820,000,000     55.00
+130   131           30 June 2017            Bosnia and Herzegovina          1,300       4,720,000,000     23.00
+131   132              2010 est.                          Barbados         15,700       4,490,000,000    100.00
+132   133          26 March 2021                        Montenegro          6,742       4,410,000,000    151.00
+133   134  31 December 2016 est.                        Madagascar            160       4,010,000,000     41.00
+134   135       31 December 2019                           Algeria             89       3,840,000,000      2.00
+135   136  31 December 2016 est.                              Mali            200       3,630,000,000     26.00
+136   137  31 December 2016 est.                        Mauritania            840       3,590,000,000     76.00
+137   138  31 December 2016 est.                             Libya            550       3,530,000,000      9.00
+138   139           31 July 2015                             Nepal            120       3,450,000,000     16.00
+139   140  31 December 2016 est.                      Burkina Faso            160       3,090,000,000     26.00
+140   141  31 December 2013 est.                           Somalia            270       3,050,000,000     52.00
+141   142  31 December 2016 est.                             Niger            130       2,730,000,000     36.00
+142   143  31 December 2016 est.                        Seychelles         26,200       2,550,000,000    180.00
+143   144  31 December 2016 est.                            Rwanda            200       2,440,000,000     29.00
+144   144              2015 est.                      Bermuda (UK)         39,700       2,440,000,000     47.00
+145   146           30 June 2017                            Kosovo          1,200       2,390,000,000     37.00
+146   147  31 December 2016 est.                             Benin            200       2,340,000,000     26.00
+147   148       31 December 2016                        Tajikistan            260       2,270,000,000     38.00
+148   149  31 December 2016 est.                            Bhutan          2,900       2,260,000,000    108.00
+149   150  31 December 2016 est.                             Haiti            180       2,020,000,000     24.00
+150   151  31 December 2016 est.                            Malawi            100       1,920,000,000     39.00
+151   151                   2017                       South Sudan            167       1,920,000,000     62.70
+152   153  31 December 2016 est.                              Chad            130       1,880,000,000     18.00
+153   154          31 March 2017                          Botswana            720       1,690,000,000      8.00
+154   155     31 March 2016 est.                         Palestine            340       1,660,000,000     35.00
+155   155  31 December 2016 est.                        Cape Verde          3,100       1,660,000,000     99.00
+156   157  31 December 2016 est.                      Sierra Leone            230       1,560,000,000     36.00
+157   158  31 December 2016 est.                 Equatorial Guinea          1,500       1,360,000,000     12.00
+158   159  31 December 2016 est.                          Djibouti          1,500       1,340,000,000     71.00
+159   160  31 December 2016 est.                            Guinea            100       1,330,000,000     20.00
+160   160  31 December 2016 est.                            Belize          3,500       1,330,000,000     75.00
+161   162             FY-2010/11                       Afghanistan             40       1,280,000,000      7.00
+162   163  31 December 2016 est.                          Suriname          2,200       1,240,000,000     30.00
+163   164  31 December 2016 est.                              Togo            150       1,170,000,000     26.00
+164   165       31 December 2015                            Guyana          1,500       1,140,000,000     36.00
+165   166              2014 est.                           Andorra         14,345       1,110,000,000     41.00
+166   166  31 December 2016 est.                           Liberia            230       1,110,000,000     51.00
+167   168  31 December 2010 est.                     Guinea-Bissau            570       1,100,000,000     94.00
+168   169  31 December 2016 est.                           Lesotho            430         949,000,000     53.00
+169   170                   2010           Faroe Islands (Denmark)         18,400         889,000,000     38.00
+170   171  31 December 2016 est.                              Fiji            900         833,000,000     18.00
+171   172  31 December 2016 est.                           Eritrea            150         820,000,000     15.00
+172   173              2014 est.                          Maldives          2,000         742,000,000     23.00
+173   174  31 December 2016 est.                           Burundi             60         705,000,000     26.00
+174   175  31 December 2014 est.                             Aruba          6,600         693,000,000     28.00
+175   176  31 December 2016 est.          Central African Republic            130         687,000,000     39.00
+176   177              2013 est.                           Grenada          6,300         679,000,000     66.00
+177   178  31 December 2016 est.                            Gambia            260         542,000,000     61.00
+178   179  31 December 2016 est.                       Saint Lucia          2,700         513,000,000     36.00
+179   180  31 December 2016 est.                      Turkmenistan             90         503,000,000      1.00
+180   181  31 December 2013 est.                   Solomon Islands            800         492,000,000     40.00
+181   182  31 December 2016 est.                          Eswatini            360         471,000,000     14.00
+182   183  31 December 2013 est.                             Samoa          2,300         447,000,000     51.00
+183   184       31 December 2012               Antigua and Barbuda          4,700         441,000,000     34.00
+184   185                   2016                        San Marino         10,604         352,000,000     23.00
+185   186                   2017                            Brunei         27,200         340,000,000      2.80
+186   187  31 December 2016 est.  Saint Vincent and the Grenadines          2,900         321,000,000     42.00
+187   188  31 December 2014 est.                       Timor-Leste            250         312,000,000     12.00
+188   189  31 December 2016 est.                          Dominica          3,900         289,000,000     55.00
+189   190       31 December 2011                      Cook Islands         13,400         281,000,000     23.00
+190   191  31 December 2016 est.             Sao Tome and Principe          1,200         237,000,000     67.00
+191   192  31 December 2016 est.                             Tonga          2,200         233,000,000     54.00
+192   193  31 December 2016 est.                           Vanuatu            750         208,000,000     27.00
+193   194  31 December 2016 est.             Saint Kitts and Nevis          3,300         188,000,000     20.00
+194   195  31 December 2016 est.                           Comoros            160         133,000,000     21.00
+195   196  31 December 2013 est.            New Caledonia (France)            420         112,000,000      1.00
+196   197              2013 est.                  Marshall Islands          1,800          98,000,000     52.00
+197   198              2013 est.                        Micronesia            900          93,600,000     29.00
+198   199              1998 est.               Cayman Islands (UK)          2,100          79,000,000      7.00
+199   200                   2010               Greenland (Denmark)            650          36,400,000      2.00
+200   201              2004 est.                             Nauru          3,200          33,300,000     22.00
+201   202       31 December 2016       British Virgin Islands (UK)            570          17,700,000      2.00
+202   203              2017 est.                            Tuvalu          1,224          14,800,000     37.00
+203   204              2013 est.                          Kiribati            120          13,600,000      8.00
+204   205                   1998                     Anguilla (UK)            590           8,800,000      5.00
+205   206                   2004        Wallis and Futuna (France)            280           3,670,000      6.00
+206   207       31 December 2011                   Montserrat (UK)            200           1,040,000      2.00
+207   208                   2001                     Liechtenstein              0                   0      0.00
+208   208        27 October 2016                Niue (New Zealand)              0                   0      0.00
--- a/tests/openbb_terminal/economy/txt/test_finviz_view/test_display_future[False].txt
+++ b/tests/openbb_terminal/economy/txt/test_finviz_view/test_display_future[False].txt
@@ -1,10 +0,0 @@
-                prevClose      last  change
-label                                      
-DJIA           34633.0000  34487.00   -0.42
-VIX               25.6406     26.05    1.60
-Nasdaq 100     14413.5000  14356.00   -0.40
-Nikkei 225     27085.0000  27045.00   -0.15
-Euro Stoxx 50   3806.0000   3815.00    0.24
-S&P 500         4453.5000   4442.50   -0.25
-Russell 2000    2080.2000   2071.50   -0.42
-DAX            14376.0000  14425.00    0.34
--- a/tests/openbb_terminal/economy/txt/test_finviz_view/test_display_future[True].txt
+++ b/tests/openbb_terminal/economy/txt/test_finviz_view/test_display_future[True].txt
@@ -1,10 +0,0 @@
-                prevClose      last  change
-label                                      
-DJIA           34633.0000  34487.00   -0.42
-VIX               25.6406     26.05    1.60
-Nasdaq 100     14413.5000  14356.00   -0.40
-Nikkei 225     27085.0000  27045.00   -0.15
-Euro Stoxx 50   3806.0000   3815.00    0.24
-S&P 500         4453.5000   4442.50   -0.25
-Russell 2000    2080.2000   2071.50   -0.42
-DAX            14376.0000  14425.00    0.34
--- a/tests/openbb_terminal/economy/txt/test_finviz_view/test_display_performance[False].txt
+++ b/tests/openbb_terminal/economy/txt/test_finviz_view/test_display_performance[False].txt
@@ -1,12 +0,0 @@
-                                1W      1M      3M      6M      1Y     YTD  Recom    Avg Volume  Rel Volume  Change        Volume
-0          Basic Materials  0.0303  0.0337  0.0721  0.1212  0.1058  0.0419   2.21  5.643900e+08        1.70  0.0070  9.613600e+08
-1   Communication Services  0.0637 -0.0258 -0.1031 -0.1558 -0.0248 -0.1145   1.88  7.649600e+08        1.78  0.0169  1.360000e+09
-2        Consumer Cyclical  0.1093 -0.0505 -0.0915 -0.1022 -0.0962 -0.1226   2.06  1.340000e+09        1.78  0.0256  2.390000e+09
-3       Consumer Defensive  0.0475 -0.0126 -0.0218  0.0161  0.0506 -0.0392   2.23  4.557200e+08        1.71  0.0063  7.792700e+08
-4                   Energy -0.0182  0.0352  0.2454  0.3398  0.3865  0.2319   2.23  8.874100e+08        1.38 -0.0003  1.230000e+09
-5                Financial  0.0690 -0.0310 -0.0012  0.0172  0.0777 -0.0049   2.23  1.050000e+09        1.67  0.0059  1.750000e+09
-6               Healthcare  0.0669  0.0299 -0.0388 -0.0592  0.0399 -0.0565   2.05  1.420000e+09        1.66  0.0086  2.360000e+09
-7              Industrials  0.0541  0.0143 -0.0165  0.0164  0.0458 -0.0400   2.26  6.727100e+08        1.56  0.0062  1.050000e+09
-8              Real Estate  0.0291  0.0155 -0.0515 -0.0096  0.1091 -0.0902   2.22  3.552600e+08        1.98  0.0031  7.028400e+08
-9               Technology  0.0889 -0.0306 -0.0989 -0.0704  0.1030 -0.1294   1.98  1.650000e+09        1.91  0.0251  3.160000e+09
-10               Utilities  0.0090  0.0609  0.0065  0.0638  0.1145 -0.0122   2.32  1.613700e+08        2.25 -0.0063  3.625100e+08
--- a/tests/openbb_terminal/economy/txt/test_finviz_view/test_display_performance[True].txt
+++ b/tests/openbb_terminal/economy/txt/test_finviz_view/test_display_performance[True].txt
@@ -1,12 +0,0 @@
-                                1W      1M      3M      6M      1Y     YTD  Recom    Avg Volume  Rel Volume  Change        Volume
-0          Basic Materials  0.0303  0.0337  0.0721  0.1212  0.1058  0.0419   2.21  5.643900e+08        1.70  0.0070  9.613600e+08
-1   Communication Services  0.0637 -0.0258 -0.1031 -0.1558 -0.0248 -0.1145   1.88  7.649600e+08        1.78  0.0169  1.360000e+09
-2        Consumer Cyclical  0.1093 -0.0505 -0.0915 -0.1022 -0.0962 -0.1226   2.06  1.340000e+09        1.78  0.0256  2.390000e+09
-3       Consumer Defensive  0.0475 -0.0126 -0.0218  0.0161  0.0506 -0.0392   2.23  4.557200e+08        1.71  0.0063  7.792700e+08
-4                   Energy -0.0182  0.0352  0.2454  0.3398  0.3865  0.2319   2.23  8.874100e+08        1.38 -0.0003  1.230000e+09
-5                Financial  0.0690 -0.0310 -0.0012  0.0172  0.0777 -0.0049   2.23  1.050000e+09        1.67  0.0059  1.750000e+09
-6               Healthcare  0.0669  0.0299 -0.0388 -0.0592  0.0399 -0.0565   2.05  1.420000e+09        1.66  0.0086  2.360000e+09
-7              Industrials  0.0541  0.0143 -0.0165  0.0164  0.0458 -0.0400   2.26  6.727100e+08        1.56  0.0062  1.050000e+09
-8              Real Estate  0.0291  0.0155 -0.0515 -0.0096  0.1091 -0.0902   2.22  3.552600e+08        1.98  0.0031  7.028400e+08
-9               Technology  0.0889 -0.0306 -0.0989 -0.0704  0.1030 -0.1294   1.98  1.650000e+09        1.91  0.0251  3.160000e+09
-10               Utilities  0.0090  0.0609  0.0065  0.0638  0.1145 -0.0122   2.32  1.613700e+08        2.25 -0.0063  3.625100e+08
--- a/tests/openbb_terminal/economy/txt/test_finviz_view/test_display_valuation[False].txt
+++ b/tests/openbb_terminal/economy/txt/test_finviz_view/test_display_valuation[False].txt
@@ -1,12 +0,0 @@
-                           Market Cap    P/E  Fwd P/E   PEG   P/S   P/B    P/C  P/FCF  EPS past 5Y  EPS next 5Y  Sales past 5Y  Change        Volume
-0          Basic Materials   2260.70B  11.05    14.06  0.74  1.63  2.30  13.15  20.31       0.3022       0.1501         0.1231  0.0070  9.613600e+08
-1   Communication Services   7417.63B  21.39    15.17  1.05  3.45  3.26  14.19  34.05       0.2059       0.2033         0.2022  0.0169  1.360000e+09
-2        Consumer Cyclical   7410.15B  25.88    14.36  1.14  1.10  3.56  10.19  41.54       0.2838       0.2265         0.2012  0.0256  2.390000e+09
-3       Consumer Defensive   3737.73B  24.83    21.23  2.68  1.39  4.09  20.36  43.20       0.0850       0.0925         0.0486  0.0063  7.792700e+08
-4                   Energy   3488.00B  12.39     9.63  1.11  0.96  1.26  10.18  14.97       0.2792       0.1112         0.0878 -0.0003  1.230000e+09
-5                Financial  10142.30B  12.87    13.70  1.04  2.96  0.01   0.59  12.79       0.1888       0.1240         0.0734  0.0059  1.750000e+09
-6               Healthcare   7812.17B  24.97    15.52  2.22  2.23  3.66  12.91  29.47       0.1617       0.1123         0.1602  0.0086  2.360000e+09
-7              Industrials   4981.60B  23.34    17.07  1.56  2.02  4.00  13.74  32.77       0.1624       0.1492         0.0566  0.0062  1.050000e+09
-8              Real Estate   1786.12B  27.99    31.37  2.79  5.64  1.83  23.32  61.52       0.1051       0.1005         0.1014  0.0031  7.028400e+08
-9               Technology  14089.76B  30.43    22.63  1.76  5.14  4.53  16.32  35.65       0.2480       0.1731         0.1491  0.0251  3.160000e+09
-10               Utilities   1445.62B  26.13     3.29  3.71  1.82  1.42  32.47  65.99       0.0141       0.0704         0.0520 -0.0063  3.625100e+08
--- a/tests/openbb_terminal/economy/txt/test_finviz_view/test_display_valuation[True].txt
+++ b/tests/openbb_terminal/economy/txt/test_finviz_view/test_display_valuation[True].txt
@@ -1,12 +0,0 @@
-                           Market Cap    P/E  Fwd P/E   PEG   P/S   P/B    P/C  P/FCF  EPS past 5Y  EPS next 5Y  Sales past 5Y  Change        Volume
-0          Basic Materials   2260.70B  11.05    14.06  0.74  1.63  2.30  13.15  20.31       0.3022       0.1501         0.1231  0.0070  9.613600e+08
-1   Communication Services   7417.63B  21.39    15.17  1.05  3.45  3.26  14.19  34.05       0.2059       0.2033         0.2022  0.0169  1.360000e+09
-2        Consumer Cyclical   7410.15B  25.88    14.36  1.14  1.10  3.56  10.19  41.54       0.2838       0.2265         0.2012  0.0256  2.390000e+09
-3       Consumer Defensive   3737.73B  24.83    21.23  2.68  1.39  4.09  20.36  43.20       0.0850       0.0925         0.0486  0.0063  7.792700e+08
-4                   Energy   3488.00B  12.39     9.63  1.11  0.96  1.26  10.18  14.97       0.2792       0.1112         0.0878 -0.0003  1.230000e+09
-5                Financial  10142.30B  12.87    13.70  1.04  2.96  0.01   0.59  12.79       0.1888       0.1240         0.0734  0.0059  1.750000e+09
-6               Healthcare   7812.17B  24.97    15.52  2.22  2.23  3.66  12.91  29.47       0.1617       0.1123         0.1602  0.0086  2.360000e+09
-7              Industrials   4981.60B  23.34    17.07  1.56  2.02  4.00  13.74  32.77       0.1624       0.1492         0.0566  0.0062  1.050000e+09
-8              Real Estate   1786.12B  27.99    31.37  2.79  5.64  1.83  23.32  61.52       0.1051       0.1005         0.1014  0.0031  7.028400e+08
-9               Technology  14089.76B  30.43    22.63  1.76  5.14  4.53  16.32  35.65       0.2480       0.1731         0.1491  0.0251  3.160000e+09
-10               Utilities   1445.62B  26.13     3.29  3.71  1.82  1.42  32.47  65.99       0.0141       0.0704         0.0520 -0.0063  3.625100e+08
--- a/tests/openbb_terminal/etf/cassettes/test_fmp_model/test_get_etf_holdings[ARKK].yaml
+++ b/tests/openbb_terminal/etf/cassettes/test_fmp_model/test_get_etf_holdings[ARKK].yaml
@@ -0,0 +1,48 @@
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+      Connection:
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+    method: GET
+    uri: https://financialmodelingprep.com/api/v3/etf-holder/ARKK?apikey=MOCK_API_KEY
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+      Access-Control-Allow-Headers:
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+      message: Unauthorized
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--- a/tests/openbb_terminal/etf/cassettes/test_fmp_model/test_get_etf_holdings[VTI].yaml
+++ b/tests/openbb_terminal/etf/cassettes/test_fmp_model/test_get_etf_holdings[VTI].yaml
@@ -0,0 +1,48 @@
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+  response:
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--- a/tests/openbb_terminal/etf/cassettes/test_fmp_model/test_get_holdings_pct_change[2023-09-01-2022-09-01-ARKK].yaml
+++ b/tests/openbb_terminal/etf/cassettes/test_fmp_model/test_get_holdings_pct_change[2023-09-01-2022-09-01-ARKK].yaml
@@ -0,0 +1,48 @@
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+    method: GET
+    uri: https://financialmodelingprep.com/api/v3/etf-holder/ARKK?apikey=MOCK_API_KEY
+  response:
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+      string: "{\n  \"Error Message\": \"Invalid API KEY. Please retry or visit our
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+      - nginx/1.18.0 (Ubuntu)
+      X-Frame-Options:
+      - SAMEORIGIN
+      X-Powered-By:
+      - Express
+    status:
+      code: 401
+      message: Unauthorized
+version: 1
--- a/tests/openbb_terminal/etf/cassettes/test_fmp_model/test_get_stock_price_change[2023-09-01-2022-09-01-TSLA].yaml
+++ b/tests/openbb_terminal/etf/cassettes/test_fmp_model/test_get_stock_price_change[2023-09-01-2022-09-01-TSLA].yaml
@@ -0,0 +1,48 @@
+interactions:
+- request:
+    body: null
+    headers:
+      Accept:
+      - '*/*'
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+    method: GET
+    uri: https://financialmodelingprep.com/api/v3/etf-holder/TSLA?apikey=MOCK_API_KEY
+  response:
+    body:
+      string: "{\n  \"Error Message\": \"Invalid API KEY. Please retry or visit our
+        documentation to create one FREE https://site.financialmodelingprep.com/developer/docs\"\n}"
+    headers:
+      Access-Control-Allow-Credentials:
+      - 'true'
+      Access-Control-Allow-Headers:
+      - X-Requested-With, content-type, auth-token, Authorization, stripe-signature,
+        APPS
+      Access-Control-Allow-Methods:
+      - GET, POST, OPTIONS
+      Access-Control-Allow-Origin:
+      - '*'
+      Access-Control-Max-Age:
+      - '3600'
+      Connection:
+      - keep-alive
+      Content-Length:
+      - '154'
+      Content-Type:
+      - application/json; charset=utf-8
+      Date:
+      - Wed, 27 Sep 2023 17:42:36 GMT
+      ETag:
+      - W/"9a-ufKRTAmgqkT6Vv3bqU5trChBRE8"
+      Server:
+      - nginx/1.18.0 (Ubuntu)
+      X-Frame-Options:
+      - SAMEORIGIN
+      X-Powered-By:
+      - Express
+    status:
+      code: 401
+      message: Unauthorized
+version: 1
--- a/tests/openbb_terminal/etf/cassettes/test_fmp_view/test_view_etf_holdings_performance[2023-09-01-2022-09-01-TSLA].yaml
+++ b/tests/openbb_terminal/etf/cassettes/test_fmp_view/test_view_etf_holdings_performance[2023-09-01-2022-09-01-TSLA].yaml
@@ -0,0 +1,48 @@
+interactions:
+- request:
+    body: null
+    headers:
+      Accept:
+      - '*/*'
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+    method: GET
+    uri: https://financialmodelingprep.com/api/v3/etf-holder/TSLA?apikey=MOCK_API_KEY
+  response:
+    body:
+      string: "{\n  \"Error Message\": \"Invalid API KEY. Please retry or visit our
+        documentation to create one FREE https://site.financialmodelingprep.com/developer/docs\"\n}"
+    headers:
+      Access-Control-Allow-Credentials:
+      - 'true'
+      Access-Control-Allow-Headers:
+      - X-Requested-With, content-type, auth-token, Authorization, stripe-signature,
+        APPS
+      Access-Control-Allow-Methods:
+      - GET, POST, OPTIONS
+      Access-Control-Allow-Origin:
+      - '*'
+      Access-Control-Max-Age:
+      - '3600'
+      Connection:
+      - keep-alive
+      Content-Length:
+      - '154'
+      Content-Type:
+      - application/json; charset=utf-8
+      Date:
+      - Wed, 27 Sep 2023 17:52:02 GMT
+      ETag:
+      - W/"9a-ufKRTAmgqkT6Vv3bqU5trChBRE8"
+      Server:
+      - nginx/1.18.0 (Ubuntu)
+      X-Frame-Options:
+      - SAMEORIGIN
+      X-Powered-By:
+      - Express
+    status:
+      code: 401
+      message: Unauthorized
+version: 1
--- a/tests/openbb_terminal/etf/csv/test_fmp_model/test_get_holdings_pct_change[2023-09-01-2022-09-01-ARKK].csv
+++ b/tests/openbb_terminal/etf/csv/test_fmp_model/test_get_holdings_pct_change[2023-09-01-2022-09-01-ARKK].csv
@@ -0,0 +1,11 @@
+,Ticker,Name,Percent Change
+4,EXAS,EXACT SCIENCES CORP,134.98896247240614
+7,SHOP,SHOPIFY INC - CLASS A,113.33546530220659
+9,DKNG,DRAFTKINGS INC-CL A,85.71428571428571
+2,ROKU,ROKU INC,19.648609077598834
+3,COIN,COINBASE GLOBAL INC -CLASS A,19.01419197314206
+6,PATH,UIPATH INC - CLASS A,-1.670792079207918
+0,TSLA,TESLA INC,-11.599797950642241
+1,ZM,ZOOM VIDEO COMMUNICATIONS-A,-11.609563717032293
+5,SQ,BLOCK INC,-15.389090909090905
+8,TDOC,TELADOC HEALTH INC,-25.746753246753247
--- a/tests/openbb_terminal/etf/csv/test_fmp_model/test_get_stock_price_change[2023-09-01-2022-09-01-TSLA].csv
+++ b/tests/openbb_terminal/etf/csv/test_fmp_model/test_get_stock_price_change[2023-09-01-2022-09-01-TSLA].csv
@@ -0,0 +1 @@
+,Ticker,Name,Percent Change
--- a/tests/openbb_terminal/etf/json/test_fmp_model/test_get_etf_holdings[ARKK].json
+++ b/tests/openbb_terminal/etf/json/test_fmp_model/test_get_etf_holdings[ARKK].json
@@ -0,0 +1 @@
+[]
--- a/tests/openbb_terminal/etf/test_fmp_model.py
+++ b/tests/openbb_terminal/etf/test_fmp_model.py
@@ -28,3 +28,42 @@ def test_get_etf_sector_weightings(recorder, name):
    result = fmp_model.get_etf_sector_weightings(name)

    recorder.capture(result)
+
+
+@pytest.mark.vcr
+@pytest.mark.parametrize(
+    "ticker",
+    [
+        "ARKK",
+    ],
+)
+def test_get_etf_holdings(recorder, ticker):
+    result = fmp_model.get_etf_holdings(ticker)
+
+    assert result.count != 0
+    recorder.capture(result)
+
+
+@pytest.mark.vcr
+@pytest.mark.parametrize(
+    "ticker",
+    [
+        "TSLA",
+    ],
+)
+@pytest.mark.parametrize(
+    "start_date",
+    [
+        "2022-09-01",
+    ],
+)
+@pytest.mark.parametrize(
+    "end_date",
+    [
+        "2023-09-01",
+    ],
+)
+def test_get_stock_price_change(recorder, ticker: str, start_date: str, end_date: str):
+    result = fmp_model.get_holdings_pct_change(ticker, start_date, end_date)
+
+    recorder.capture(result)
--- a/tests/openbb_terminal/etf/test_fmp_view.py
+++ b/tests/openbb_terminal/etf/test_fmp_view.py
@@ -24,3 +24,28 @@ def vcr_config():
 )
 def test_display_etf_weightings(name):
    fmp_view.display_etf_weightings(name, raw=True, export="")
+
+
+@pytest.mark.vcr
+@pytest.mark.parametrize(
+    "ticker",
+    [
+        "TSLA",
+    ],
+)
+@pytest.mark.parametrize(
+    "start_date",
+    [
+        "2022-09-01",
+    ],
+)
+@pytest.mark.parametrize(
+    "end_date",
+    [
+        "2023-09-01",
+    ],
+)
+def test_view_etf_holdings_performance(ticker, start_date, end_date):
+    fmp_view.view_etf_holdings_performance(
+        ticker, start_date, end_date, raw=True, export=""
+    )
--- a/tests/openbb_terminal/etf/txt/test_etf_controller/test_print_help.txt
+++ b/tests/openbb_terminal/etf/txt/test_etf_controller/test_print_help.txt
@@ -9,6 +9,7 @@ Major holdings:

 [unvl]    overview           get overview[/unvl]                                                    [StockAnalysis]
 [unvl]    holdings           top company holdings[/unvl]                                            [StockAnalysis]
+[unvl]    holding_perf       Performance of holdings in ETF.[/unvl]                                 [FinancialModelingPrep]
 [unvl]    weights            sector weights allocation[/unvl]                                       [FinancialModelingPrep]
 [unvl]    news               latest news of the company[/unvl]                                      [NewsApi]
 [unvl]    candle             view a candle chart for ETF[/unvl]
--- a/tests/openbb_terminal/futures/cassettes/test_yfinance_model/test_get_historical_futures[symbols0].yaml
+++ b/tests/openbb_terminal/futures/cassettes/test_yfinance_model/test_get_historical_futures[symbols0].yaml
@@ -12,7 +12,7 @@ interactions:
    uri: https://query2.finance.yahoo.com/v8/finance/chart/BLK=F?interval=1d&range=1d
  response:
    body:
-      string: '{"chart":{"result":[{"meta":{"currency":"USD","symbol":"BLK=F","exchangeName":"CME","instrumentType":"FUTURE","firstTradeDate":1578891600,"regularMarketTime":1673549755,"gmtoffset":-18000,"timezone":"EST","exchangeTimezoneName":"America/New_York","regularMarketPrice":1.96,"chartPreviousClose":1.977,"priceHint":4,"currentTradingPeriod":{"pre":{"timezone":"EST","start":1674104400,"end":1674104400,"gmtoffset":-18000},"regular":{"timezone":"EST","start":1674104400,"end":1674190740,"gmtoffset":-18000},"post":{"timezone":"EST","start":1674190740,"end":1674190740,"gmtoffset":-18000}},"dataGranularity":"1d","range":"1d","validRanges":["1d","5d","1mo","3mo","6mo","1y","2y","5y","ytd","max"]},"indicators":{"quote":[{}],"adjclose":[{}]}}],"error":null}}'
+      string: '{"chart":{"result":[{"meta":{"currency":"USD","symbol":"BLK=F","exchangeName":"CME","instrumentType":"ALTSYMBOL","firstTradeDate":1578891600,"regularMarketTime":1693504930,"gmtoffset":-14400,"timezone":"EDT","exchangeTimezoneName":"America/New_York","regularMarketPrice":1.935,"chartPreviousClose":1.878,"priceHint":4,"currentTradingPeriod":{"pre":{"timezone":"EDT","start":1696219200,"end":1696219200,"gmtoffset":-14400},"regular":{"timezone":"EDT","start":1696219200,"end":1696305540,"gmtoffset":-14400},"post":{"timezone":"EDT","start":1696305540,"end":1696305540,"gmtoffset":-14400}},"dataGranularity":"1d","range":"1d","validRanges":["1d","5d","1mo","3mo","6mo","1y","2y","5y","ytd","max"]},"indicators":{"quote":[{}],"adjclose":[{}]}}],"error":null}}'
    headers:
      Age:
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@@ -23,7 +23,7 @@ interactions:
      Referrer-Policy:
      - no-referrer-when-downgrade
      Strict-Transport-Security:
-      - max-age=15552000
+      - max-age=31536000
      X-Content-Type-Options:
      - nosniff
      X-Frame-Options:
@@ -33,25 +33,25 @@ interactions:
      cache-control:
      - public, max-age=10, stale-while-revalidate=20
      content-length:
-      - '752'
+      - '756'
      content-type:
      - application/json;charset=utf-8
      date:
-      - Thu, 19 Jan 2023 15:30:45 GMT
+      - Mon, 02 Oct 2023 19:51:35 GMT
      server:
      - ATS
      vary:
      - Origin,Accept-Encoding
      x-envoy-decorator-operation:
-      - finance-chart-api--mtls-production-bf1.finance-k8s.svc.yahoo.local:4080/*
+      - finance-chart-api--mtls-canary-production-bf1.finance-k8s.svc.yahoo.local:4080/*
      x-envoy-upstream-service-time:
-      - '4'
+      - '2'
      x-request-id:
-      - 76c108b3-e86c-42b7-a518-289d1e667e35
+      - 546ef09e-94da-4f5e-bc46-003600c0735c
      x-yahoo-request-id:
-      - 7j27ia1hsioh5
+      - 2pirh39ihm7q7
      y-rid:
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      message: OK
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--- a/tests/openbb_terminal/futures/cassettes/test_yfinance_view/test_display_curve[CL].yaml
+++ b/tests/openbb_terminal/futures/cassettes/test_yfinance_view/test_display_curve[CL].yaml
--- a/tests/openbb_terminal/futures/cassettes/test_yfinance_view/test_display_curve[ES].yaml
+++ b/tests/openbb_terminal/futures/cassettes/test_yfinance_view/test_display_curve[ES].yaml
--- a/tests/openbb_terminal/futures/cassettes/test_yfinance_view/test_display_historical[symbols0].yaml
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+      - Mon, 02 Oct 2023 19:52:16 GMT
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+      - '2'
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--- a/tests/openbb_terminal/futures/test_yfinance_view.py
+++ b/tests/openbb_terminal/futures/test_yfinance_view.py
@@ -57,6 +57,7 @@ def test_display_historical(mocker, symbols):
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+@pytest.mark.skip
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@pytest.mark.record_stdout
@pytest.mark.parametrize(
--- a/tests/openbb_terminal/futures/txt/test_yfinance_view/test_display_curve[CL].txt
+++ b/tests/openbb_terminal/futures/txt/test_yfinance_view/test_display_curve[CL].txt
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--- a/tests/openbb_terminal/futures/txt/test_yfinance_view/test_display_curve[ES].txt
+++ b/tests/openbb_terminal/futures/txt/test_yfinance_view/test_display_curve[ES].txt
@@ -1,6 +0,0 @@
-            Last Price
-2023-09-01      4173.5
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-
--- a/tests/openbb_terminal/stocks/comparison_analysis/cassettes/test_finviz_compare_model/test_get_comparison_data[financial].yaml
+++ b/tests/openbb_terminal/stocks/comparison_analysis/cassettes/test_finviz_compare_model/test_get_comparison_data[financial].yaml
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-        1Onf+n8AAAD//wMAOOFhO2jGAgA=
-    headers:
-      CF-Cache-Status:
-      - DYNAMIC
-      CF-RAY:
-      - 72990566fc5eb311-BEG
-      Cache-Control:
-      - no-cache
-      Connection:
-      - keep-alive
-      Content-Encoding:
-      - gzip
-      Content-Type:
-      - text/html; charset=utf-8
-      Date:
-      - Tue, 12 Jul 2022 10:16:02 GMT
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-      set-cookie:
-      - preventRedirectLoop=false; expires=Mon, 11 Jul 2022 10:16:02 GMT; domain=.finviz.com;
-        path=/
-      - screenerUrl=screener.ashx%3Fv%3D111%26ft%3D4%26t%3DTSLA%2CGM; expires=Wed,
-        12 Jul 2023 10:16:02 GMT; domain=.finviz.com; path=/
-      vary:
-      - Accept-Encoding
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-      - SAMEORIGIN
-      x-powered-by:
-      - ASP.NET
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-      - ASP.NET
-    status:
-      code: 200
-      message: OK
-version: 1
--- a/tests/openbb_terminal/stocks/comparison_analysis/csv/test_finviz_compare_model/test_get_comparison_data[MOCK_INVALID_DATA_TYPE].csv
+++ b/tests/openbb_terminal/stocks/comparison_analysis/csv/test_finviz_compare_model/test_get_comparison_data[MOCK_INVALID_DATA_TYPE].csv
@@ -1 +0,0 @@
-""
--- a/tests/openbb_terminal/stocks/comparison_analysis/csv/test_finviz_compare_model/test_get_comparison_data[financial].csv
+++ b/tests/openbb_terminal/stocks/comparison_analysis/csv/test_finviz_compare_model/test_get_comparison_data[financial].csv
@@ -1,2 +0,0 @@
-,Ticker,Market Cap,Dividend,ROA,ROE,ROI,Curr R,Quick R,LTDebt/Eq,Debt/Eq,Gross M,Oper M,Profit M,Earnings,Price,Change,Volume
-0,GM,50760000000.0,0.0102,0.034,0.13699999999999998,0.039,1.1,1.0,1.19,1.73,0.129,0.063,0.059000000000000004,Jan 31/b,35.35,0.0,0.0
--- a/tests/openbb_terminal/stocks/comparison_analysis/csv/test_finviz_compare_model/test_get_comparison_data[overview0].csv
+++ b/tests/openbb_terminal/stocks/comparison_analysis/csv/test_finviz_compare_model/test_get_comparison_data[overview0].csv
@@ -1,2 +0,0 @@
-,Ticker,Company,Sector,Industry,Country,Market Cap,P/E,Price,Change,Volume
-0,GM,General Motors Company,Consumer Cyclical,Auto Manufacturers,USA,50760000000.0,6.0,35.35,0.0,0.0
--- a/tests/openbb_terminal/stocks/comparison_analysis/csv/test_finviz_compare_model/test_get_comparison_data[overview1].csv
+++ b/tests/openbb_terminal/stocks/comparison_analysis/csv/test_finviz_compare_model/test_get_comparison_data[overview1].csv
@@ -1,2 +0,0 @@
-,Ticker,Company,Sector,Industry,Country,Market Cap,P/E,Price,Change,Volume
-0,GM,General Motors Company,Consumer Cyclical,Auto Manufacturers,USA,50760000000.0,6.0,35.35,0.0,0.0
--- a/tests/openbb_terminal/stocks/comparison_analysis/csv/test_finviz_compare_model/test_get_comparison_data[ownership].csv
+++ b/tests/openbb_terminal/stocks/comparison_analysis/csv/test_finviz_compare_model/test_get_comparison_data[ownership].csv
@@ -1,2 +0,0 @@
-,Ticker,Market Cap,Outstanding,Float,Insider Own,Insider Trans,Inst Own,Inst Trans,Float Short,Short Ratio,Avg Volume,Price,Change,Volume
-0,GM,50760000000.0,1450000000.0,1350000000.0,0.0016,0.0,0.828,-0.031200000000000002,0.0158,1.6,13360000.0,35.35,0.0,0.0
--- a/tests/openbb_terminal/stocks/comparison_analysis/csv/test_finviz_compare_model/test_get_comparison_data[performance].csv
+++ b/tests/openbb_terminal/stocks/comparison_analysis/csv/test_finviz_compare_model/test_get_comparison_data[performance].csv
@@ -1,2 +0,0 @@
-,Ticker,1W,1M,3M,6M,1Y,YTD,1W Volatility,1M Volatility,Recom,Avg Volume,Rel Volume,Price,Change,Volume
-0,GM,-0.07769999999999999,-0.002,0.051100000000000007,0.0063,-0.3714,0.0508,0.0255,0.0277,2.2,13360000.0,0.0,35.35,0.0,0.0
--- a/tests/openbb_terminal/stocks/comparison_analysis/csv/test_finviz_compare_model/test_get_comparison_data[technical].csv
+++ b/tests/openbb_terminal/stocks/comparison_analysis/csv/test_finviz_compare_model/test_get_comparison_data[technical].csv
@@ -1,2 +0,0 @@
-,Ticker,Beta,ATR,SMA20,SMA50,SMA200,52W High,52W Low,RSI,Price,Change,from Open,Gap,Volume
-0,GM,1.36,1.15,0.0019,-0.0558,-0.042800000000000005,-0.3636,0.1655,44.58,35.35,0.0,0.0,0.0,0.0
--- a/tests/openbb_terminal/stocks/comparison_analysis/csv/test_finviz_compare_model/test_get_comparison_data[valuation].csv
+++ b/tests/openbb_terminal/stocks/comparison_analysis/csv/test_finviz_compare_model/test_get_comparison_data[valuation].csv
@@ -1,2 +0,0 @@
-,Ticker,Market Cap,P/E,Fwd P/E,PEG,P/S,P/B,P/C,P/FCF,EPS this Y,EPS next Y,EPS past 5Y,EPS next 5Y,Sales past 5Y,Price,Change,Volume
-0,GM,50760000000.0,6.0,6.07,0.38,0.34,0.78,1.67,6.5,0.547,-0.1907,0.022000000000000002,0.157,-0.032,35.35,0.0,0.0
--- a/tests/openbb_terminal/stocks/comparison_analysis/json/test_finviz_compare_model/test_get_similar_companies[compare_list0].json
+++ b/tests/openbb_terminal/stocks/comparison_analysis/json/test_finviz_compare_model/test_get_similar_companies[compare_list0].json
@@ -1 +0,0 @@
-["ARVL", "AYRO", "BLBD", "CENN", "EVTV", "F", "FFIE", "FSR", "GM", "GOEV", "GP", "HMC", "HYZN", "KNDI", "LCID", "LI", "LVWR", "MULN", "NIO", "NIU", "NWTN", "PEV", "PSNY", "PSNYW", "PTRA", "RACE", "RIDE", "RIVN", "SEV", "SOLO", "STLA", "TM", "TSLA", "TTM", "VEV", "VLCN", "WKHS", "XPEV"]
--- a/tests/openbb_terminal/stocks/comparison_analysis/json/test_finviz_compare_model/test_get_similar_companies[compare_list1].json
+++ b/tests/openbb_terminal/stocks/comparison_analysis/json/test_finviz_compare_model/test_get_similar_companies[compare_list1].json
@@ -1 +0,0 @@
-[""]
--- a/tests/openbb_terminal/stocks/comparison_analysis/test_finviz_compare_model.py
+++ b/tests/openbb_terminal/stocks/comparison_analysis/test_finviz_compare_model.py
@@ -1,47 +0,0 @@
-# IMPORTATION STANDARD
-
-# IMPORTATION THIRDPARTY
-import pytest
-
-# IMPORTATION INTERNAL
-from openbb_terminal.stocks.comparison_analysis import finviz_compare_model
-
-
-@pytest.mark.vcr
-@pytest.mark.parametrize(
-    "compare_list",
-    [
-        ["Industry"],
-        ["MOCK_INVALID_COMPARE_LIST"],
-    ],
-)
-def test_get_similar_companies(compare_list, recorder):
-    result = finviz_compare_model.get_similar_companies(
-        symbol="TSLA",
-        compare_list=compare_list,
-    )
-
-    recorder.capture(result)
-
-
-@pytest.mark.vcr
-@pytest.mark.parametrize(
-    "data_type",
-    [
-        "overview",
-        "valuation",
-        "financial",
-        "ownership",
-        "overview",
-        "performance",
-        "technical",
-        "MOCK_INVALID_DATA_TYPE",
-    ],
-)
-def test_get_comparison_data(data_type, recorder):
-    result_df = finviz_compare_model.get_comparison_data(
-        data_type=data_type,
-        similar=["TESLA", "GM"],
-    )
-
-    recorder.capture(result_df)
--- a/tests/openbb_terminal/stocks/comparison_analysis/test_finviz_compare_view.py
+++ b/tests/openbb_terminal/stocks/comparison_analysis/test_finviz_compare_view.py
@@ -1,51 +0,0 @@
-# IMPORTATION STANDARD
-
-
-# IMPORTATION THIRDPARTY
-import pandas as pd
-import pytest
-
-# IMPORTATION INTERNAL
-from openbb_terminal.core.session.current_user import (
-    PreferencesModel,
-    copy_user,
-)
-from openbb_terminal.stocks.comparison_analysis import finviz_compare_view
-
-
-@pytest.mark.skip(
-    reason="Column 'Market Cap' of output has exponential notation format in Windows contrary to Ubuntu."
-)
-@pytest.mark.default_cassette("test_screener")
-@pytest.mark.vcr
-@pytest.mark.record_stdout
-@pytest.mark.parametrize(
-    "tab",
-    [True, False],
-)
-def test_screener(mocker, tab):
-    preferences = PreferencesModel(USE_TABULATE_DF=tab)
-    mock_current_user = copy_user(preferences=preferences)
-    mocker.patch(
-        target="openbb_terminal.core.session.current_user.__current_user",
-        new=mock_current_user,
-    )
-
-    finviz_compare_view.screener(
-        similar=["TSLA", "GM"],
-        data_type="overview",
-        export="",
-    )
-
-
-@pytest.mark.vcr
-@pytest.mark.record_stdout
-def test_screener_empty(mocker):
-    target = "openbb_terminal.stocks.comparison_analysis.finviz_compare_model.get_comparison_data"
-    mocker.patch(target=target, return_value=pd.DataFrame())
-
-    finviz_compare_view.screener(
-        similar=["TSLA", "GM"],
-        data_type="overview",
-        export="",
-    )
--- a/tests/openbb_terminal/stocks/comparison_analysis/test_marketwatch_view.py
+++ b/tests/openbb_terminal/stocks/comparison_analysis/test_marketwatch_view.py
@@ -1,67 +0,0 @@
-# IMPORTATION STANDARD
-
-# IMPORTATION THIRDPARTY
-import pytest
-
-# IMPORTATION INTERNAL
-from openbb_terminal.stocks.comparison_analysis import marketwatch_view
-
-
-@pytest.fixture(scope="module")
-def vcr_config():
-    return {
-        "filter_headers": [("User-Agent", None)],
-    }
-
-
-@pytest.mark.vcr
-@pytest.mark.record_stdout
-def test_display_income_comparison(mocker):
-    mocker.patch.object(
-        target=marketwatch_view.rich_config,
-        attribute="USE_COLOR",
-        new=True,
-    )
-
-    marketwatch_view.display_income_comparison(
-        symbols=["TSLA", "GM"],
-        timeframe="31-Dec-2021",
-        quarter=True,
-        export="",
-        sheet_name=None,
-    )
-
-
-@pytest.mark.vcr
-@pytest.mark.record_stdout
-def test_display_balance_comparison(mocker):
-    mocker.patch.object(
-        target=marketwatch_view.rich_config,
-        attribute="USE_COLOR",
-        new=True,
-    )
-
-    marketwatch_view.display_balance_comparison(
-        symbols=["TSLA", "GM"],
-        timeframe="31-Dec-2021",
-        quarter=True,
-        export="",
-        sheet_name=None,
-    )
-
-
-@pytest.mark.vcr
-@pytest.mark.record_stdout
-def test_display_cashflow_comparison(mocker):
-    mocker.patch.object(
-        target=marketwatch_view.rich_config,
-        attribute="USE_COLOR",
-        new=True,
-    )
-    marketwatch_view.display_cashflow_comparison(
-        symbols=["TSLA", "GM"],
-        timeframe="31-Dec-2021",
-        quarter=True,
-        export="",
-        sheet_name=None,
-    )
--- a/tests/openbb_terminal/stocks/comparison_analysis/txt/test_finviz_compare_view/test_screener[False].txt
+++ b/tests/openbb_terminal/stocks/comparison_analysis/txt/test_finviz_compare_view/test_screener[False].txt
@@ -1,3 +0,0 @@
-  Ticker                 Company             Sector            Industry Country      Market Cap    P/E   Price  Change      Volume
-0     GM  General Motors Company  Consumer Cyclical  Auto Manufacturers     USA   45500000000.0   5.12   30.87 -0.0446  17132508.0
-1   TSLA             Tesla, Inc.  Consumer Cyclical  Auto Manufacturers     USA  706020000000.0  95.03  703.03 -0.0655  33169740.0
--- a/tests/openbb_terminal/stocks/comparison_analysis/txt/test_finviz_compare_view/test_screener[True].txt
+++ b/tests/openbb_terminal/stocks/comparison_analysis/txt/test_finviz_compare_view/test_screener[True].txt
@@ -1,3 +0,0 @@
-  Ticker                 Company             Sector            Industry Country      Market Cap    P/E   Price  Change      Volume
-0     GM  General Motors Company  Consumer Cyclical  Auto Manufacturers     USA   45500000000.0   5.12   30.87 -0.0446  17132508.0
-1   TSLA             Tesla, Inc.  Consumer Cyclical  Auto Manufacturers     USA  706020000000.0  95.03  703.03 -0.0655  33169740.0
--- a/tests/openbb_terminal/stocks/comparison_analysis/txt/test_finviz_compare_view/test_screener_empty.txt
+++ b/tests/openbb_terminal/stocks/comparison_analysis/txt/test_finviz_compare_view/test_screener_empty.txt
@@ -1 +0,0 @@
-No screened data found.
--- a/tests/openbb_terminal/stocks/comparison_analysis/txt/test_marketwatch_view/test_display_balance_comparison.txt
+++ b/tests/openbb_terminal/stocks/comparison_analysis/txt/test_marketwatch_view/test_display_balance_comparison.txt
@@ -1,40 +1,40 @@
 Other available quarterly timeframes are: 30-Sep-2021, 31-Dec-2021, 31-Mar-2022, 30-Jun-2022, 30-Sep-2022

-                                     TSLA (31-Dec-2021) GM (31-Dec-2021)
-Item                                                                    
-Cash & Short Term Investments                    18.05B           31.61B
-Cash & Short Term Investments Growth              9.93%           18.03%
-Cash Only                                        17.92B              23B
-Short-Term Investments                                                  
-Cash & ST Investments / Total Assets             29.05%           12.92%
-Total Accounts Receivable                         1.91B           34.04B
-Total Accounts Receivable Growth                 -2.50%            2.59%
-Accounts Receivables, Net                         1.91B           34.04B
-Accounts Receivables, Gross                       1.91B           34.94B
-Bad Debt/Doubtful Accounts                                        (895M)
-Other Receivable                                                        
-Accounts Receivable Turnover                       9.26             0.99
-Inventories                                       5.76B           12.99B
-Finished Goods                                    1.28B            4.75B
-Work in Progress                                  1.09B                 
-Raw Materials                                     3.39B            8.24B
-Progress Payments & Other                                               
-Other Current Assets                              1.38B            3.46B
-Miscellaneous Current Assets                      1.38B            3.46B
-Total Current Assets                              27.1B            82.1B
-Net Property, Plant & Equipment                  31.18B           80.14B
-Property, Plant & Equipment - Gross              39.87B          111.43B
-Buildings                                                               
-Land & Improvements                                                     
-Computer Software and Equipment                   1.41B                 
-Other Property, Plant & Equipment                                       
-Accumulated Depreciation                          8.69B           31.29B
-Total Investments and Advances                     223M           10.22B
-Other Long-Term Investments                        223M             540M
-Long-Term Note Receivables                         299M           36.17B
-Intangible Assets                                 1.72B            5.09B
-Net Goodwill                                       200M            1.91B
-Net Other Intangibles                                                   
-Other Assets                                      1.62B            9.85B
-Total Assets                                     62.13B          244.72B
-Total Assets Growth                               7.43%            2.58%
+                                         TSLA (31-Dec-2021)       GM (31-Dec-2021)
+Item                                                                              
+Cash & Short Term Investments                        18.05B                 31.61B
+Cash & Short Term Investments Growth   [green]9.93%[/green]  [green]18.03%[/green]
+Cash Only                                            17.92B                    23B
+Short-Term Investments                                                            
+Cash & ST Investments / Total Assets  [green]29.05%[/green]  [green]12.92%[/green]
+Total Accounts Receivable                             1.91B                 34.04B
+Total Accounts Receivable Growth          [red]-2.50%[/red]   [green]2.59%[/green]
+Accounts Receivables, Net                             1.91B                 34.04B
+Accounts Receivables, Gross                           1.91B                 34.94B
+Bad Debt/Doubtful Accounts                                       [red](895M)[/red]
+Other Receivable                                                                  
+Accounts Receivable Turnover                           9.26                   0.99
+Inventories                                           5.76B                 12.99B
+Finished Goods                                        1.28B                  4.75B
+Work in Progress                                      1.09B                       
+Raw Materials                                         3.39B                  8.24B
+Progress Payments & Other                                                         
+Other Current Assets                                  1.38B                  3.46B
+Miscellaneous Current Assets                          1.38B                  3.46B
+Total Current Assets                                  27.1B                  82.1B
+Net Property, Plant & Equipment                      31.18B                 80.14B
+Property, Plant & Equipment - Gross                  39.87B                111.43B
+Buildings                                                                         
+Land & Improvements                                                               
+Computer Software and Equipment                       1.41B                       
+Other Property, Plant & Equipment                                                 
+Accumulated Depreciation                              8.69B                 31.29B
+Total Investments and Advances                         223M                 10.22B
+Other Long-Term Investments                            223M                   540M
+Long-Term Note Receivables                             299M                 36.17B
+Intangible Assets                                     1.72B                  5.09B
+Net Goodwill                                           200M                  1.91B
+Net Other Intangibles                                                             
+Other Assets                                          1.62B                  9.85B
+Total Assets                                         62.13B                244.72B
+Total Assets Growth                    [green]7.43%[/green]   [green]2.58%[/green]
--- a/tests/openbb_terminal/stocks/comparison_analysis/txt/test_marketwatch_view/test_display_cashflow_comparison.txt
+++ b/tests/openbb_terminal/stocks/comparison_analysis/txt/test_marketwatch_view/test_display_cashflow_comparison.txt
@@ -1,22 +1,22 @@
 Other available quarterly timeframes are: 30-Sep-2021, 31-Dec-2021, 31-Mar-2022, 30-Jun-2022, 30-Sep-2022

-                                       TSLA (31-Dec-2021) GM (31-Dec-2021)
-Item                                                                      
-Net Income before Extraordinaries                   2.34B            1.77B
-Net Income Growth                                  41.23%          -25.98%
-Depreciation, Depletion & Amortization               848M            2.94B
-Depreciation and Depletion                           530M                 
-Amortization of Intangible Assets                    318M                 
-Deferred Taxes & Investment Tax Credit                                251M
-Deferred Taxes                                                        251M
-Investment Tax Credit                                                     
-Other Funds                                          539M           (783M)
-Funds from Operations                               3.73B            4.17B
-Extraordinaries                                                           
-Changes in Working Capital                           855M            2.64B
-Receivables                                           18M                 
-Accounts Payable                                    1.81B                 
-Other Assets/Liabilities                           (443M)            4.59B
-Net Operating Cash Flow                             4.59B            6.81B
-Net Operating Cash Flow Growth                     45.69%       13,995.92%
-Net Operating Cash Flow / Sales                    25.88%           20.27%
+                                           TSLA (31-Dec-2021)           GM (31-Dec-2021)
+Item                                                                                    
+Net Income before Extraordinaries                       2.34B                      1.77B
+Net Income Growth                       [green]41.23%[/green]         [red]-25.98%[/red]
+Depreciation, Depletion & Amortization                   848M                      2.94B
+Depreciation and Depletion                               530M                           
+Amortization of Intangible Assets                        318M                           
+Deferred Taxes & Investment Tax Credit                                              251M
+Deferred Taxes                                                                      251M
+Investment Tax Credit                                                                   
+Other Funds                                              539M          [red](783M)[/red]
+Funds from Operations                                   3.73B                      4.17B
+Extraordinaries                                                                         
+Changes in Working Capital                               855M                      2.64B
+Receivables                                               18M                           
+Accounts Payable                                        1.81B                           
+Other Assets/Liabilities                    [red](443M)[/red]                      4.59B
+Net Operating Cash Flow                                 4.59B                      6.81B
+Net Operating Cash Flow Growth          [green]45.69%[/green]  [green]13,995.92%[/green]
+Net Operating Cash Flow / Sales         [green]25.88%[/green]      [green]20.27%[/green]
--- a/tests/openbb_terminal/stocks/comparison_analysis/txt/test_marketwatch_view/test_display_income_comparison.txt
+++ b/tests/openbb_terminal/stocks/comparison_analysis/txt/test_marketwatch_view/test_display_income_comparison.txt
@@ -1,61 +1,61 @@
 Other available quarterly timeframes are: 30-Sep-2021, 31-Dec-2021, 31-Mar-2022, 30-Jun-2022, 30-Sep-2022

-                                          TSLA (31-Dec-2021) GM (31-Dec-2021)
-Item                                                                         
-Sales/Revenue                                         17.72B           33.58B
-Sales Growth                                          28.80%           25.41%
-Cost of Goods Sold (COGS) incl. D&A                   12.87B           29.59B
-COGS Growth                                           27.48%           28.71%
-COGS excluding D&A                                    12.02B           26.65B
-Depreciation & Amortization Expense                     848M            2.94B
-Depreciation                                            530M                 
-Amortization of Intangibles                             318M                 
-Gross Income                                           4.85B               4B
-Gross Income Growth                                   32.43%            5.40%
-Gross Profit Margin                                                          
-SG&A Expense                                           2.23B            2.48B
-SGA Growth                                            39.19%           15.36%
-Research & Development                                  740M                 
-Other SG&A                                                                   
-Other Operating Expense                                                      
-Unusual Expense                                         (1M)              17M
-EBIT after Unusual Expense                                1M            (17M)
-Non Operating Income/Expense                             67M             631M
-Non-Operating Interest Income                            25M              44M
-Equity in Affiliates (Pretax)                                            286M
-Interest Expense                                         71M             227M
-Interest Expense Growth                              -43.65%           -1.30%
-Gross Interest Expense                                   72M             227M
-Interest Capitalized                                      1M                 
-Pretax Income                                          2.64B            2.24B
-Pretax Income Growth                                  40.01%          -11.86%
-Pretax Margin                                                                
-Income Tax                                              292M             471M
-Income Tax - Current Domestic                                                
-Income Tax - Current Foreign                                                 
-Income Tax - Deferred Domestic                                               
-Income Tax - Deferred Foreign                                                
-Income Tax Credits                                                           
-Equity in Affiliates                                                         
-Other After Tax Income (Expense)                                             
-Consolidated Net Income                                2.34B            1.77B
-Minority Interest Expense                                22M              25M
-Net Income                                             2.32B            1.74B
-Net Income Growth                                     43.45%          -28.06%
-Net Margin Growth                                                            
-Extraordinaries & Discontinued Operations                                    
-Extra Items & Gain/Loss Sale Of Assets                                       
-Cumulative Effect - Accounting Chg                                           
-Discontinued Operations                                                      
-Net Income After Extraordinaries                       2.32B            1.74B
-Preferred Dividends                                                       45M
-Net Income Available to Common                         2.32B             1.7B
-EPS (Basic)                                             0.76             1.17
-EPS (Basic) Growth                                    41.04%          -28.64%
-Basic Shares Outstanding                               3.04B            1.45B
-EPS (Diluted)                                           0.68             1.15
-EPS (Diluted) Growth                                  41.91%          -28.83%
-Diluted Shares Outstanding                              3.4B            1.47B
-EBITDA                                                 3.46B            4.46B
-EBITDA Growth                                         22.90%           -5.69%
-EBITDA Margin                                                                
+                                              TSLA (31-Dec-2021)       GM (31-Dec-2021)
+Item                                                                                   
+Sales/Revenue                                             17.72B                 33.58B
+Sales Growth                               [green]28.80%[/green]  [green]25.41%[/green]
+Cost of Goods Sold (COGS) incl. D&A                       12.87B                 29.59B
+COGS Growth                                [green]27.48%[/green]  [green]28.71%[/green]
+COGS excluding D&A                                        12.02B                 26.65B
+Depreciation & Amortization Expense                         848M                  2.94B
+Depreciation                                                530M                       
+Amortization of Intangibles                                 318M                       
+Gross Income                                               4.85B                     4B
+Gross Income Growth                        [green]32.43%[/green]   [green]5.40%[/green]
+Gross Profit Margin                                                                    
+SG&A Expense                                               2.23B                  2.48B
+SGA Growth                                 [green]39.19%[/green]  [green]15.36%[/green]
+Research & Development                                      740M                       
+Other SG&A                                                                             
+Other Operating Expense                                                                
+Unusual Expense                                  [red](1M)[/red]                    17M
+EBIT after Unusual Expense                                    1M       [red](17M)[/red]
+Non Operating Income/Expense                                 67M                   631M
+Non-Operating Interest Income                                25M                    44M
+Equity in Affiliates (Pretax)                                                      286M
+Interest Expense                                             71M                   227M
+Interest Expense Growth                       [red]-43.65%[/red]      [red]-1.30%[/red]
+Gross Interest Expense                                       72M                   227M
+Interest Capitalized                                          1M                       
+Pretax Income                                              2.64B                  2.24B
+Pretax Income Growth                       [green]40.01%[/green]     [red]-11.86%[/red]
+Pretax Margin                                                                          
+Income Tax                                                  292M                   471M
+Income Tax - Current Domestic                                                          
+Income Tax - Current Foreign                                                           
+Income Tax - Deferred Domestic                                                         
+Income Tax - Deferred Foreign                                                          
+Income Tax Credits                                                                     
+Equity in Affiliates                                                                   
+Other After Tax Income (Expense)                                                       
+Consolidated Net Income                                    2.34B                  1.77B
+Minority Interest Expense                                    22M                    25M
+Net Income                                                 2.32B                  1.74B
+Net Income Growth                          [green]43.45%[/green]     [red]-28.06%[/red]
+Net Margin Growth                                                                      
+Extraordinaries & Discontinued Operations                                              
+Extra Items & Gain/Loss Sale Of Assets                                                 
+Cumulative Effect - Accounting Chg                                                     
+Discontinued Operations                                                                
+Net Income After Extraordinaries                           2.32B                  1.74B
+Preferred Dividends                                                                 45M
+Net Income Available to Common                             2.32B                   1.7B
+EPS (Basic)                                                 0.76                   1.17
+EPS (Basic) Growth                         [green]41.04%[/green]     [red]-28.64%[/red]
+Basic Shares Outstanding                                   3.04B                  1.45B
+EPS (Diluted)                                               0.68                   1.15
+EPS (Diluted) Growth                       [green]41.91%[/green]     [red]-28.83%[/red]
+Diluted Shares Outstanding                                  3.4B                  1.47B
+EBITDA                                                     3.46B                  4.46B
+EBITDA Growth                              [green]22.90%[/green]      [red]-5.69%[/red]
+EBITDA Margin                                                                          
--- a/tests/openbb_terminal/stocks/screener/cassettes/test_finviz_model/test_get_screener_data[financial].yaml
+++ b/tests/openbb_terminal/stocks/screener/cassettes/test_finviz_model/test_get_screener_data[financial].yaml
--- a/tests/openbb_terminal/stocks/screener/cassettes/test_finviz_model/test_get_screener_data[overview].yaml
+++ b/tests/openbb_terminal/stocks/screener/cassettes/test_finviz_model/test_get_screener_data[overview].yaml
--- a/tests/openbb_terminal/stocks/screener/cassettes/test_finviz_model/test_get_screener_data[ownership].yaml
+++ b/tests/openbb_terminal/stocks/screener/cassettes/test_finviz_model/test_get_screener_data[ownership].yaml
--- a/tests/openbb_terminal/stocks/screener/cassettes/test_finviz_model/test_get_screener_data[performance].yaml
+++ b/tests/openbb_terminal/stocks/screener/cassettes/test_finviz_model/test_get_screener_data[performance].yaml
--- a/tests/openbb_terminal/stocks/screener/cassettes/test_finviz_model/test_get_screener_data[technical].yaml
+++ b/tests/openbb_terminal/stocks/screener/cassettes/test_finviz_model/test_get_screener_data[technical].yaml
--- a/tests/openbb_terminal/stocks/screener/cassettes/test_finviz_model/test_get_screener_data[valuation].yaml
+++ b/tests/openbb_terminal/stocks/screener/cassettes/test_finviz_model/test_get_screener_data[valuation].yaml
--- a/tests/openbb_terminal/stocks/screener/cassettes/test_finviz_model/test_get_screener_data_no_limit.yaml
+++ b/tests/openbb_terminal/stocks/screener/cassettes/test_finviz_model/test_get_screener_data_no_limit.yaml
--- a/tests/openbb_terminal/stocks/screener/cassettes/test_finviz_view/test_screener[False].yaml
+++ b/tests/openbb_terminal/stocks/screener/cassettes/test_finviz_view/test_screener[False].yaml
--- a/tests/openbb_terminal/stocks/screener/cassettes/test_finviz_view/test_screener[True].yaml
+++ b/tests/openbb_terminal/stocks/screener/cassettes/test_finviz_view/test_screener[True].yaml
--- a/tests/openbb_terminal/stocks/screener/cassettes/test_finviz_view/test_screener_sort_matches[MOCK_SORT].yaml
+++ b/tests/openbb_terminal/stocks/screener/cassettes/test_finviz_view/test_screener_sort_matches[MOCK_SORT].yaml
--- a/Show More
+++ b/Show More
				`@@ -1 +0,0 @@`
				`["ARVL", "AYRO", "BLBD", "CENN", "EVTV", "F", "FFIE", "FSR", "GM", "GOEV", "GP", "HMC", "HYZN", "KNDI", "LCID", "LI", "LVWR", "MULN", "NIO", "NIU", "NWTN", "PEV", "PSNY", "PSNYW", "PTRA", "RACE", "RIDE", "RIVN", "SEV", "SOLO", "STLA", "TM", "TSLA", "TTM", "VEV", "VLCN", "WKHS", "XPEV"]`