fix: typo spelling grammar

docs/exchanges.md

@@ -105,7 +105,7 @@ To use subaccounts with FTX, you need to edit the configuration and add the foll
 
 ## Kucoin
 
-Kucoin requries a passphrase for each api key, you will therefore need to add this key into the configuration so your exchange section looks as follows:
+Kucoin requires a passphrase for each api key, you will therefore need to add this key into the configuration so your exchange section looks as follows:
 
 ```json
 "exchange": {

docs/strategy_analysis_example.md

@@ -228,7 +228,7 @@ graph = generate_candlestick_graph(pair=pair,
 # Show graph inline
 # graph.show()
 
-# Render graph in a seperate window
+# Render graph in a separate window
 graph.show(renderer="browser")
 
 ```

freqtrade/data/btanalysis.py

@@ -19,7 +19,7 @@ logger = logging.getLogger(__name__)
 BT_DATA_COLUMNS_OLD = ["pair", "profit_percent", "open_date", "close_date", "index",
                        "trade_duration", "open_rate", "close_rate", "open_at_end", "sell_reason"]
 
-# Mid-term format, crated by BacktestResult Named Tuple
+# Mid-term format, created by BacktestResult Named Tuple
 BT_DATA_COLUMNS_MID = ['pair', 'profit_percent', 'open_date', 'close_date', 'trade_duration',
                        'open_rate', 'close_rate', 'open_at_end', 'sell_reason', 'fee_open',
                        'fee_close', 'amount', 'profit_abs', 'profit_ratio']

freqtrade/data/converter.py

@@ -242,7 +242,7 @@ def convert_trades_format(config: Dict[str, Any], convert_from: str, convert_to:
     :param config: Config dictionary
     :param convert_from: Source format
     :param convert_to: Target format
-    :param erase: Erase souce data (does not apply if source and target format are identical)
+    :param erase: Erase source data (does not apply if source and target format are identical)
     """
     from freqtrade.data.history.idatahandler import get_datahandler
     src = get_datahandler(config['datadir'], convert_from)
@@ -267,7 +267,7 @@ def convert_ohlcv_format(config: Dict[str, Any], convert_from: str, convert_to:
     :param config: Config dictionary
     :param convert_from: Source format
     :param convert_to: Target format
-    :param erase: Erase souce data (does not apply if source and target format are identical)
+    :param erase: Erase source data (does not apply if source and target format are identical)
     """
     from freqtrade.data.history.idatahandler import get_datahandler
     src = get_datahandler(config['datadir'], convert_from)

freqtrade/exchange/exchange.py

@@ -1497,7 +1497,7 @@ class Exchange:
         :returns List of trade data
         """
         if not self.exchange_has("fetchTrades"):
-            raise OperationalException("This exchange does not suport downloading Trades.")
+            raise OperationalException("This exchange does not support downloading Trades.")
 
         return asyncio.get_event_loop().run_until_complete(
             self._async_get_trade_history(pair=pair, since=since,

freqtrade/freqtradebot.py

@@ -977,7 +977,7 @@ class FreqtradeBot(LoggingMixin):
             # if trade is partially complete, edit the stake details for the trade
             # and close the order
             # cancel_order may not contain the full order dict, so we need to fallback
-            # to the order dict aquired before cancelling.
+            # to the order dict acquired before cancelling.
             # we need to fall back to the values from order if corder does not contain these keys.
             trade.amount = filled_amount
             trade.stake_amount = trade.amount * trade.open_rate

freqtrade/plot/plotting.py

@@ -538,7 +538,7 @@ def load_and_plot_trades(config: Dict[str, Any]):
     - Initializes plot-script
     - Get candle (OHLCV) data
     - Generate Dafaframes populated with indicators and signals based on configured strategy
-    - Load trades excecuted during the selected period
+    - Load trades executed during the selected period
     - Generate Plotly plot objects
     - Generate plot files
     :return: None

freqtrade/rpc/rpc.py

@@ -776,7 +776,7 @@ class RPC:
         if has_content:
 
             dataframe.loc[:, '__date_ts'] = dataframe.loc[:, 'date'].view(int64) // 1000 // 1000
-            # Move open to seperate column when signal for easy plotting
+            # Move open to separate column when signal for easy plotting
             if 'buy' in dataframe.columns:
                 buy_mask = (dataframe['buy'] == 1)
                 buy_signals = int(buy_mask.sum())

tests/data/test_converter.py

@@ -119,7 +119,7 @@ def test_ohlcv_fill_up_missing_data2(caplog):
     # 3rd candle has been filled
     row = data2.loc[2, :]
     assert row['volume'] == 0
-    # close shoult match close of previous candle
+    # close should match close of previous candle
     assert row['close'] == data.loc[1, 'close']
     assert row['open'] == row['close']
     assert row['high'] == row['close']

tests/data/test_dataprovider.py

@@ -66,7 +66,7 @@ def test_historic_ohlcv_dataformat(mocker, default_conf, ohlcv_history):
     hdf5loadmock.assert_not_called()
     jsonloadmock.assert_called_once()
 
-    # Swiching to dataformat hdf5
+    # Switching to dataformat hdf5
     hdf5loadmock.reset_mock()
     jsonloadmock.reset_mock()
     default_conf["dataformat_ohlcv"] = "hdf5"

tests/data/test_history.py

@@ -200,15 +200,15 @@ def test_load_cached_data_for_updating(mocker, testdatadir) -> None:
     assert start_ts == test_data[0][0] - 1000
 
     # timeframe starts in the center of the cached data
-    # should return the chached data w/o the last item
+    # should return the cached data w/o the last item
     timerange = TimeRange('date', None, test_data[0][0] / 1000 + 1, 0)
     data, start_ts = _load_cached_data_for_updating('UNITTEST/BTC', '1m', timerange, data_handler)
 
     assert_frame_equal(data, test_data_df.iloc[:-1])
     assert test_data[-2][0] <= start_ts < test_data[-1][0]
 
-    # timeframe starts after the chached data
-    # should return the chached data w/o the last item
+    # timeframe starts after the cached data
+    # should return the cached data w/o the last item
     timerange = TimeRange('date', None, test_data[-1][0] / 1000 + 100, 0)
     data, start_ts = _load_cached_data_for_updating('UNITTEST/BTC', '1m', timerange, data_handler)
     assert_frame_equal(data, test_data_df.iloc[:-1])

tests/strategy/test_interface.py

@@ -630,7 +630,7 @@ def test_strategy_safe_wrapper_error(caplog, error):
     assert ret
 
     caplog.clear()
-    # Test supressing error
+    # Test suppressing error
     ret = strategy_safe_wrapper(failing_method, message='DeadBeef', supress_error=True)()
     assert log_has_re(r'DeadBeef.*', caplog)