Merge pull request #5178 from aayush-jain18/spell-correction

spell corrections

freqtrade/commands/build_config_commands.py

@@ -183,7 +183,7 @@ def deploy_new_config(config_path: Path, selections: Dict[str, Any]) -> None:
     """
     Applies selections to the template and writes the result to config_path
     :param config_path: Path object for new config file. Should not exist yet
-    :param selecions: Dict containing selections taken by the user.
+    :param selections: Dict containing selections taken by the user.
     """
     from jinja2.exceptions import TemplateNotFound
     try:

freqtrade/configuration/configuration.py

@@ -460,7 +460,7 @@ class Configuration:
             pairs_file = Path(self.args["pairs_file"])
             logger.info(f'Reading pairs file "{pairs_file}".')
             # Download pairs from the pairs file if no config is specified
-            # or if pairs file is specified explicitely
+            # or if pairs file is specified explicitly
             if not pairs_file.exists():
                 raise OperationalException(f'No pairs file found with path "{pairs_file}".')
             config['pairs'] = load_file(pairs_file)

freqtrade/constants.py

@@ -62,7 +62,7 @@ DUST_PER_COIN = {
 }
 
 
-# Soure files with destination directories within user-directory
+# Source files with destination directories within user-directory
 USER_DATA_FILES = {
     'sample_strategy.py': USERPATH_STRATEGIES,
     'sample_hyperopt_advanced.py': USERPATH_HYPEROPTS,

freqtrade/data/converter.py

@@ -49,7 +49,7 @@ def clean_ohlcv_dataframe(data: DataFrame, timeframe: str, pair: str, *,
                           fill_missing: bool = True,
                           drop_incomplete: bool = True) -> DataFrame:
     """
-    Clense a OHLCV dataframe by
+    Cleanse a OHLCV dataframe by
       * Grouping it by date (removes duplicate tics)
       * dropping last candles if requested
       * Filling up missing data (if requested)

freqtrade/edge/edge_positioning.py

@@ -301,7 +301,7 @@ class Edge:
     def _process_expectancy(self, results: DataFrame) -> Dict[str, Any]:
         """
         This calculates WinRate, Required Risk Reward, Risk Reward and Expectancy of all pairs
-        The calulation will be done per pair and per strategy.
+        The calculation will be done per pair and per strategy.
         """
         # Removing pairs having less than min_trades_number
         min_trades_number = self.edge_config.get('min_trade_number', 10)

freqtrade/exceptions.py

@@ -47,7 +47,7 @@ class InvalidOrderException(ExchangeError):
 class RetryableOrderError(InvalidOrderException):
     """
     This is returned when the order is not found.
-    This Error will be repeated with increasing backof (in line with DDosError).
+    This Error will be repeated with increasing backoff (in line with DDosError).
     """
 
 
@@ -75,6 +75,6 @@ class DDosProtection(TemporaryError):
 
 class StrategyError(FreqtradeException):
     """
-    Errors with custom user-code deteced.
+    Errors with custom user-code detected.
     Usually caused by errors in the strategy.
     """

freqtrade/exchange/exchange.py

@@ -235,7 +235,7 @@ class Exchange:
     def ohlcv_candle_limit(self, timeframe: str) -> int:
         """
         Exchange ohlcv candle limit
-        Uses ohlcv_candle_limit_per_timeframe if the exchange has different limts
+        Uses ohlcv_candle_limit_per_timeframe if the exchange has different limits
         per timeframe (e.g. bittrex), otherwise falls back to ohlcv_candle_limit
         :param timeframe: Timeframe to check
         :return: Candle limit as integer

freqtrade/exchange/kraken.py

@@ -49,7 +49,7 @@ class Kraken(Exchange):
             orders = self._api.fetch_open_orders()
             order_list = [(x["symbol"].split("/")[0 if x["side"] == "sell" else 1],
                            x["remaining"] if x["side"] == "sell" else x["remaining"] * x["price"],
-                           # Don't remove the below comment, this can be important for debuggung
+                           # Don't remove the below comment, this can be important for debugging
                            # x["side"], x["amount"],
                            ) for x in orders]
             for bal in balances:

freqtrade/optimize/backtesting.py

@@ -445,7 +445,7 @@ class Backtesting:
                 for trade in open_trades[pair]:
                     # also check the buying candle for sell conditions.
                     trade_entry = self._get_sell_trade_entry(trade, row)
-                    # Sell occured
+                    # Sell occurred
                     if trade_entry:
                         # logger.debug(f"{pair} - Backtesting sell {trade}")
                         open_trade_count -= 1

freqtrade/optimize/optimize_reports.py

@@ -21,7 +21,7 @@ def store_backtest_stats(recordfilename: Path, stats: Dict[str, DataFrame]) -> N
     Stores backtest results
     :param recordfilename: Path object, which can either be a filename or a directory.
         Filenames will be appended with a timestamp right before the suffix
-        while for diectories, <directory>/backtest-result-<datetime>.json will be used as filename
+        while for directories, <directory>/backtest-result-<datetime>.json will be used as filename
     :param stats: Dataframe containing the backtesting statistics
     """
     if recordfilename.is_dir():
@@ -300,7 +300,7 @@ def generate_strategy_stats(btdata: Dict[str, DataFrame],
     :param min_date: Backtest start date
     :param max_date: Backtest end date
     :param market_change: float indicating the market change
-    :return: Dictionary containing results per strategy and a stratgy summary.
+    :return: Dictionary containing results per strategy and a strategy summary.
     """
     results: Dict[str, DataFrame] = content['results']
     if not isinstance(results, DataFrame):
@@ -436,7 +436,7 @@ def generate_backtest_stats(btdata: Dict[str, DataFrame],
                      { Strategy: {'results: results, 'config: config}}.
     :param min_date: Backtest start date
     :param max_date: Backtest end date
-    :return: Dictionary containing results per strategy and a stratgy summary.
+    :return: Dictionary containing results per strategy and a strategy summary.
     """
     result: Dict[str, Any] = {'strategy': {}}
     market_change = calculate_market_change(btdata, 'close')

freqtrade/plot/plotting.py

@@ -288,8 +288,8 @@ def plot_area(fig, row: int, data: pd.DataFrame, indicator_a: str,
     :param fig: Plot figure to append to
     :param row: row number for this plot
     :param data: candlestick DataFrame
-    :param indicator_a: indicator name as populated in stragetie
-    :param indicator_b: indicator name as populated in stragetie
+    :param indicator_a: indicator name as populated in strategy
+    :param indicator_b: indicator name as populated in strategy
     :param label: label for the filled area
     :param fill_color: color to be used for the filled area
     :return: fig with added  filled_traces plot

freqtrade/plugins/pairlist/PerformanceFilter.py

@@ -19,7 +19,7 @@ class PerformanceFilter(IPairList):
     def needstickers(self) -> bool:
         """
         Boolean property defining if tickers are necessary.
-        If no Pairlist requries tickers, an empty List is passed
+        If no Pairlist requires tickers, an empty List is passed
         as tickers argument to filter_pairlist
         """
         return False

freqtrade/resolvers/iresolver.py

@@ -163,7 +163,7 @@ class IResolver:
         :param directory: Path to search
         :param enum_failed: If True, will return None for modules which fail.
             Otherwise, failing modules are skipped.
-        :return: List of dicts containing 'name', 'class' and 'location' entires
+        :return: List of dicts containing 'name', 'class' and 'location' entries
         """
         logger.debug(f"Searching for {cls.object_type.__name__} '{directory}'")
         objects = []

freqtrade/rpc/fiat_convert.py

@@ -102,7 +102,7 @@ class CryptoToFiatConverter:
             inverse = True
 
         symbol = f"{crypto_symbol}/{fiat_symbol}"
-        # Check if the fiat convertion you want is supported
+        # Check if the fiat conversion you want is supported
         if not self._is_supported_fiat(fiat=fiat_symbol):
             raise ValueError(f'The fiat {fiat_symbol} is not supported.')
 
@@ -135,7 +135,7 @@ class CryptoToFiatConverter:
         :param fiat_symbol: FIAT currency you want to convert to (e.g usd)
         :return: float, price of the crypto-currency in Fiat
         """
-        # Check if the fiat convertion you want is supported
+        # Check if the fiat conversion you want is supported
         if not self._is_supported_fiat(fiat=fiat_symbol):
             raise ValueError(f'The fiat {fiat_symbol} is not supported.')
 
@@ -146,7 +146,7 @@ class CryptoToFiatConverter:
         if self._cryptomap == {}:
             if self._backoff <= datetime.datetime.now().timestamp():
                 self._load_cryptomap()
-                # return 0.0 if we still dont have data to check, no reason to proceed
+                # return 0.0 if we still don't have data to check, no reason to proceed
                 if self._cryptomap == {}:
                     return 0.0
             else:

freqtrade/rpc/rpc.py

@@ -180,9 +180,9 @@ class RPC:
                     base_currency=self._freqtrade.config['stake_currency'],
                     close_profit=trade.close_profit if trade.close_profit is not None else None,
                     current_rate=current_rate,
-                    current_profit=current_profit,  # Deprectated
-                    current_profit_pct=round(current_profit * 100, 2),  # Deprectated
-                    current_profit_abs=current_profit_abs,  # Deprectated
+                    current_profit=current_profit,  # Deprecated
+                    current_profit_pct=round(current_profit * 100, 2),  # Deprecated
+                    current_profit_abs=current_profit_abs,  # Deprecated
                     profit_ratio=current_profit,
                     profit_pct=round(current_profit * 100, 2),
                     profit_abs=current_profit_abs,

freqtrade/rpc/telegram.py

@@ -103,7 +103,7 @@ class Telegram(RPCHandler):
         # do not allow commands with mandatory arguments and critical cmds
         # like /forcesell and /forcebuy
         # TODO: DRY! - its not good to list all valid cmds here. But otherwise
-        #       this needs refacoring of the whole telegram module (same
+        #       this needs refactoring of the whole telegram module (same
         #       problem in _help()).
         valid_keys: List[str] = [r'/start$', r'/stop$', r'/status$', r'/status table$',
                                  r'/trades$', r'/performance$', r'/daily$', r'/daily \d+$',
@@ -611,7 +611,7 @@ class Telegram(RPCHandler):
                     curr_output = (f"*{curr['currency']}:* not showing <{balance_dust_level} "
                                    f"{curr['stake']} amount \n")
 
-                # Handle overflowing messsage length
+                # Handle overflowing message length
                 if len(output + curr_output) >= MAX_TELEGRAM_MESSAGE_LENGTH:
                     self._send_msg(output)
                     output = curr_output

freqtrade/strategy/hyper.py

@@ -242,7 +242,7 @@ class CategoricalParameter(BaseParameter):
 
 class HyperStrategyMixin(object):
     """
-    A helper base class which allows HyperOptAuto class to reuse implementations of of buy/sell
+    A helper base class which allows HyperOptAuto class to reuse implementations of buy/sell
      strategy logic.
     """
 
@@ -258,7 +258,7 @@ class HyperStrategyMixin(object):
 
     def enumerate_parameters(self, category: str = None) -> Iterator[Tuple[str, BaseParameter]]:
         """
-        Find all optimizeable parameters and return (name, attr) iterator.
+        Find all optimizable parameters and return (name, attr) iterator.
         :param category:
         :return:
         """
@@ -310,7 +310,7 @@ class HyperStrategyMixin(object):
 
     def _load_params(self, params: dict, space: str, hyperopt: bool = False) -> None:
         """
-        Set optimizeable parameter values.
+        Set optimizable parameter values.
         :param params: Dictionary with new parameter values.
         """
         if not params:

freqtrade/strategy/interface.py

@@ -270,7 +270,7 @@ class IStrategy(ABC, HyperStrategyMixin):
         :param current_rate: Rate, calculated based on pricing settings in ask_strategy.
         :param current_profit: Current profit (as ratio), calculated based on current_rate.
         :param **kwargs: Ensure to keep this here so updates to this won't break your strategy.
-        :return float: New stoploss value, relative to the currentrate
+        :return float: New stoploss value, relative to the current_rate
         """
         return self.stoploss
 
@@ -301,7 +301,7 @@ class IStrategy(ABC, HyperStrategyMixin):
     def informative_pairs(self) -> ListPairsWithTimeframes:
         """
         Define additional, informative pair/interval combinations to be cached from the exchange.
-        These pair/interval combinations are non-tradeable, unless they are part
+        These pair/interval combinations are non-tradable, unless they are part
         of the whitelist as well.
         For more information, please consult the documentation
         :return: List of tuples in the format (pair, interval)

freqtrade/worker.py

@@ -61,7 +61,7 @@ class Worker:
 
     def _notify(self, message: str) -> None:
         """
-        Removes the need to verify in all occurances if sd_notify is enabled
+        Removes the need to verify in all occurrences if sd_notify is enabled
         :param message: Message to send to systemd if it's enabled.
         """
         if self._sd_notify: