Fix spelling and add missing thepassiveinvestor (OpenBB-finance#925)

* Fix spelling and add missing thepassiveinvestor

* Updating strike and tickers

gamestonk_terminal/common/technical_analysis/overlap_view.py

@@ -132,13 +132,13 @@ def view_vwap(
     )
 
     s = mpf.make_mpf_style(marketcolors=mc, gridstyle=":", y_on_right=True)
-    apdict = mpf.make_addplot(df_vwap, color="k")
+    addplot_result = mpf.make_addplot(df_vwap, color="k")
 
     mpf.plot(
         day_df,
         style=s,
         type="candle",
-        addplot=apdict,
+        addplot=addplot_result,
         volume=True,
         title=f"\n{s_ticker} {s_interval} VWAP",
     )

gamestonk_terminal/common/technical_analysis/trend_indicators_model.py

@@ -18,7 +18,7 @@ def adx(s_interval: str, df_stock: pd.DataFrame, length: int, scalar: int, drift
         Length of window
     scalar: int
         Scalar variable
-    droft: int
+    drift: int
         Drift variable
 
     Returns

gamestonk_terminal/common/technical_analysis/volume_model.py

@@ -18,7 +18,7 @@ def ad(df_stock: pd.DataFrame, use_open: bool) -> pd.DataFrame:
     Returns
     -------
     pd.DataFrame
-        Dataframe with techinical indicator
+        Dataframe with technical indicator
     """
     if use_open:
         df_ta = ta.ad(
@@ -89,7 +89,7 @@ def obv(s_interval: str, df_stock: pd.DataFrame) -> pd.DataFrame:
     Returns
     -------
     pd.DataFrame
-        Dataframe with techinical indicator
+        Dataframe with technical indicator
     """
     # Daily
     if s_interval == "1440min":

gamestonk_terminal/common/technical_analysis/volume_view.py

@@ -18,7 +18,7 @@
 def plot_ad(
     s_ticker: str, s_interval: str, df_stock: pd.DataFrame, use_open: bool, export: str
 ):
-    """Plot AD tecnhical inticator
+    """Plot AD technical indicator
 
     Parameters
     ----------
@@ -214,7 +214,7 @@ def plot_adosc(
 
 
 def plot_obv(s_ticker: str, s_interval: str, df_stock: pd.DataFrame, export: str):
-    """Plot OBV tecnhical inticator
+    """Plot OBV technical indicator
 
     Parameters
     ----------

gamestonk_terminal/cryptocurrency/defi/llama_model.py

@@ -32,7 +32,7 @@ def get_defi_protocols() -> pd.DataFrame:
         "description",
     ]
     if response.status_code != 200:
-        raise Exception(f"Status code: {response.status_code}. Resason {response.text}")
+        raise Exception(f"Status code: {response.status_code}. Reason: {response.text}")
     try:
         df = pd.DataFrame(response.json())
         df.replace({float(np.nan): None}, inplace=True)
@@ -59,7 +59,7 @@ def get_defi_tvl() -> pd.DataFrame:
     """
     response = requests.get("https://api.llama.fi/charts")
     if response.status_code != 200:
-        raise Exception(f"Status code: {response.status_code}. Resason {response.text}")
+        raise Exception(f"Status code: {response.status_code}. Reason: {response.text}")
     try:
         df = pd.DataFrame(response.json())
         df["date"] = df["date"].apply(lambda x: datetime.fromtimestamp(int(x)).date())

gamestonk_terminal/economy/alphavantage_view.py

@@ -338,11 +338,15 @@ def display_unemployment(start_year: int = 2015, raw: bool = False, export: str
     export : str, optional
         Format to export data, by default ""
     """
+
     unemp = alphavantage_model.get_unemployment()
+
     if unemp.empty:
         print("Error getting data.  Check API Key")
         return
+
     un = unemp[unemp.date >= f"{start_year}-01-01"]
+
     fig, ax = plt.subplots(figsize=plot_autoscale(), dpi=cfp.PLOT_DPI)
     ax.plot(un.date, un.unemp, marker="o", c="dodgerblue")
     ax.set_xlabel("Date")
@@ -360,6 +364,7 @@ def display_unemployment(start_year: int = 2015, raw: bool = False, export: str
         "unemp",
         unemp,
     )
+
     if raw:
         if gtff.USE_TABULATE_DF:
             print(
@@ -372,4 +377,5 @@ def display_unemployment(start_year: int = 2015, raw: bool = False, export: str
             )
         else:
             print(un.head(20).to_string())
+
     print("")

gamestonk_terminal/economy/finnhub_view.py

@@ -40,7 +40,7 @@ def economy_calendar_events(country: str, num: int, impact: str, export: str):
 
         if df_econ_calendar.empty:
             print(
-                "No latet economy calendar events found in the specified country with this impact\n"
+                "No latest economy calendar events found in the specified country with this impact\n"
             )
             return
 

gamestonk_terminal/economy/fred_model.py

@@ -25,8 +25,10 @@ def get_series_notes(series_term: str, num: int) -> str:
     notes : str
         Series notes output
     """
+
     fred.key(cfg.API_FRED_KEY)
     d_series = fred.search(series_term)
+
     if "seriess" not in d_series:
         return "No Series found using this term!\n"
 

gamestonk_terminal/economy/fred_view.py

@@ -70,15 +70,15 @@ def display_series(series: str, start_date: str, raw: bool, export: str):
         success_series = []
         success_titles = []
 
-    for serie_term in series.split(","):
-        if serie_term:
-            l_series, l_title = fred_model.get_series_ids(serie_term, 5)
+    for series_term in series.split(","):
+        if series_term:
+            l_series, l_title = fred_model.get_series_ids(series_term, 5)
 
             if len(l_series) == 0:
-                print(f"No series found for term '{serie_term}'\n")
+                print(f"No series found for term '{series_term}'\n")
                 continue
 
-            print(f"For '{serie_term}', series IDs found: {', '.join(l_series)}.\n")
+            print(f"For '{series_term}', series IDs found: {', '.join(l_series)}.\n")
 
             ser = l_series[0]
             ser_title = l_title[0]

gamestonk_terminal/options/chartexchange_view.py

@@ -26,7 +26,7 @@ def display_raw(
     call : bool
         Whether the underlying asset should be a call or a put
     price : float
-        The stike of the expiration
+        The strike of the expiration
     num : int
         Number of rows to show
     """

gamestonk_terminal/portfolio/brokers/coinbase/coinbase_view.py

@@ -141,7 +141,7 @@ def display_orders(limit: int, sortby: str, descend: bool, export: str = "") ->
 
 
 def display_deposits(
-    limit: int, sortby: str, deposite_type: str, descend: bool, export: str = ""
+    limit: int, sortby: str, deposit_type: str, descend: bool, export: str = ""
 ) -> None:
     """Display deposits into account [Source: Coinbase]
 
@@ -153,13 +153,13 @@ def display_deposits(
         Key to sort by
     descend: bool
         Flag to sort descending
-    deposite_type: str
+    deposit_type: str
         internal_deposits (transfer between portfolios) or deposit
     export : str
         Export dataframe data to csv,json,xlsx file
     """
 
-    df = coinbase_model.get_deposits(deposit_type=deposite_type)
+    df = coinbase_model.get_deposits(deposit_type=deposit_type)
 
     if df.empty:
         print("No deposits found for your account\n")

gamestonk_terminal/portfolio/brokers/degiro/degiro_view.py

@@ -330,7 +330,7 @@ def lookup(self, ns_parser: Namespace):
         # GET ATTRIBUTES
         degiro_model = self.__degiro_model
 
-        # FECTH DATA
+        # FETCH DATA
         product_search = degiro_model.lookup(
             limit=ns_parser.limit,
             offset=ns_parser.offset,

gamestonk_terminal/portfolio/portfolio_analysis/portfolio_model.py

@@ -31,7 +31,7 @@ def load_portfolio(
     Returns
     -------
     pd.DataFrame
-        Dataframe conataining portfolio
+        Dataframe containing portfolio
     """
     if full_path.endswith(".csv"):
         df = pd.read_csv(full_path)

gamestonk_terminal/portfolio/portfolio_model.py

@@ -194,7 +194,7 @@ def merge_dataframes(
         A log of past transactions
     divs : pd.DataFrame
         The dividend history for stocks in portfolio
-    unqiues: List[str]
+    uniques: List[str]
         A list of stocks in the portfolio
 
     Returns

gamestonk_terminal/portfolio/portfolio_optimization/optimizer_helper.py

@@ -4,7 +4,7 @@
 import argparse
 
 # These are all the possible yfinance properties
-l_valid_property_infos = [
+valid_property_infos = [
     "previousClose",
     "regularMarketOpen",
     "twoHundredDayAverage",
@@ -99,9 +99,9 @@
 ]
 
 
-def check_valid_property_type(aproperty: str) -> str:
+def check_valid_property_type(check_property: str) -> str:
     """Check that the property selected is valid"""
-    if aproperty in l_valid_property_infos:
-        return aproperty
+    if check_property in valid_property_infos:
+        return check_property
 
-    raise argparse.ArgumentTypeError(f"{aproperty} is not a valid info")
+    raise argparse.ArgumentTypeError(f"{check_property} is not a valid info")

gamestonk_terminal/portfolio/portfolio_optimization/optimizer_model.py

@@ -93,7 +93,7 @@ def get_maxsharpe_portfolio(
 def get_minvol_portfolio(
     stocks: List[str], period: str = "3mo"
 ) -> Tuple[Dict, EfficientFrontier]:
-    """Generate weights for minimum voltaility portfolio
+    """Generate weights for minimum volatility portfolio
 
     Parameters
     ----------
@@ -120,7 +120,7 @@ def get_maxquadutil_portfolio(
     risk_aversion: float = 1.0,
     market_neutral: bool = False,
 ) -> Tuple[Dict, EfficientFrontier]:
-    """Get portfolio maximizing quadratic ultility at a given risk aversion
+    """Get portfolio maximizing quadratic utility at a given risk aversion
 
     Parameters
     ----------

gamestonk_terminal/portfolio/portfolio_optimization/po_controller.py

@@ -714,7 +714,7 @@ def call_yolo(self, _):
 
     @try_except
     def add_stocks(self, other_args: List[str]):
-        """Add ticker or Select tickes for portfolio to be optimized"""
+        """Add ticker or Select tickers for portfolio to be optimized"""
         parser = argparse.ArgumentParser(
             add_help=False,
             prog="add/select",

gamestonk_terminal/portfolio/portfolio_view.py

@@ -133,10 +133,10 @@ def plot_overall_return(
         print("")
         return None
 
-    imgdata = BytesIO()
-    fig.savefig(imgdata, format="png")
-    imgdata.seek(0)
-    return ImageReader(imgdata)
+    image_data = BytesIO()
+    fig.savefig(image_data, format="png")
+    image_data.seek(0)
+    return ImageReader(image_data)
 
 
 def plot_rolling_beta(df: pd.DataFrame) -> ImageReader:
@@ -183,10 +183,10 @@ def plot_rolling_beta(df: pd.DataFrame) -> ImageReader:
     )
     ax.set_facecolor("white")
     fig.autofmt_xdate()
-    imgdata = BytesIO()
-    fig.savefig(imgdata, format="png")
-    imgdata.seek(0)
-    return ImageReader(imgdata)
+    image_data = BytesIO()
+    fig.savefig(image_data, format="png")
+    image_data.seek(0)
+    return ImageReader(image_data)
 
 
 def plot_ef(
@@ -244,10 +244,10 @@ def plot_ef(
     if gtff.USE_ION:
         plt.ion()
 
-    imgdata = BytesIO()
-    fig.savefig(imgdata, format="png")
-    imgdata.seek(0)
-    return ImageReader(imgdata)
+    image_data = BytesIO()
+    fig.savefig(image_data, format="png")
+    image_data.seek(0)
+    return ImageReader(image_data)
 
 
 class Report:

gamestonk_terminal/stocks/backtesting/bt_model.py

@@ -201,7 +201,7 @@ def rsi_strategy(
     df_stock : pd.DataFrame
         Dataframe of prices
     periods : int
-        Number of periods for RSI calculati
+        Number of periods for RSI calculation
     low_rsi : int
         Low RSI value to buy
     hirh_rsi : int

gamestonk_terminal/stocks/backtesting/bt_view.py

@@ -127,7 +127,7 @@ def display_rsi_strategy(
     df_stock : pd.Dataframe
         Dataframe of prices
     periods : int
-        Number of periods for RSI calculati
+        Number of periods for RSI calculation
     low_rsi : int
         Low RSI value to buy
     hirh_rsi : int

gamestonk_terminal/stocks/comparison_analysis/ca_controller.py

@@ -273,7 +273,7 @@ def call_getfinnhub(self, other_args: List[str]):
             add_help=False,
             formatter_class=argparse.ArgumentDefaultsHelpFormatter,
             prog="getfinnhub",
-            description="""Get similar companies from finnhubto compare with.""",
+            description="""Get similar companies from finnhub to compare with.""",
         )
         ns_parser = parse_known_args_and_warn(parser, other_args)
         if not ns_parser:

gamestonk_terminal/stocks/fundamental_analysis/yahoo_finance_model.py

@@ -67,7 +67,7 @@ def get_shareholders(ticker: str) -> Tuple[pd.DataFrame, pd.DataFrame, pd.DataFr
     pd.DataFrame
         Major holders
     pd.DataFrame
-        Institutuional holders
+        Institutional holders
     pd.DataFrame
         Mutual Fund holders
     """

gamestonk_terminal/stocks/fundamental_analysis/yahoo_finance_view.py

@@ -114,7 +114,7 @@ def display_sustainability(ticker: str):
             )
         )
     else:
-        print(df_sustainability.to_sring(index=True))
+        print(df_sustainability.to_string(index=True))
     print("")
 
 

gamestonk_terminal/stocks/quantitative_analysis/qa_controller.py

@@ -699,7 +699,7 @@ def call_kurtosis(self, other_args: List[str]):
             default="",
             type=str,
             dest="export",
-            help="Export dfframe df to csv,json,xlsx file",
+            help="Export data frame df to csv,json,xlsx file",
         )
         ns_parser = parse_known_args_and_warn(parser, other_args)
         if not ns_parser:

gamestonk_terminal/stocks/technical_analysis/finviz_model.py

@@ -17,7 +17,7 @@ def get_finviz_image(ticker: str) -> bytes:
     Returns
     -------
     bytes
-        Image in byted format
+        Image in byte format
     """
     stock = finvizfinance(ticker)
     image_url = stock.TickerCharts(urlonly=True)

gamestonk_terminal/stocks/technical_analysis/ta_controller.py

@@ -1397,7 +1397,7 @@ def call_adosc(self, other_args: List[str]):
             formatter_class=argparse.ArgumentDefaultsHelpFormatter,
             prog="adosc",
             description="""
-                 Acummulation/Distribution Oscillator, also known as the Chaikin Oscillator
+                 Accumulation/Distribution Oscillator, also known as the Chaikin Oscillator
                  is essentially a momentum indicator, but of the Accumulation-Distribution line
                  rather than merely price. It looks at both the strength of price moves and the
                  underlying buying and selling pressure during a given time period. The oscillator