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fix: typo spelling grammar

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This commit is contained in:
slowy07 2021-08-16 19:16:24 +07:00
parent 4115121c24
commit f24a951ec5
12 changed files with 15 additions and 15 deletions
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2
docs/exchanges.md
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@ -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": {

2
docs/strategy_analysis_example.md
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@ -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")
```

2
freqtrade/data/btanalysis.py
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@ -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']

4
freqtrade/data/converter.py
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@ -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)

2
freqtrade/exchange/exchange.py
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@ -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,

2
freqtrade/freqtradebot.py
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@ -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

2
freqtrade/plot/plotting.py
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@ -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

2
freqtrade/rpc/rpc.py
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@ -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())

2
tests/data/test_converter.py
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@ -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']

2
tests/data/test_dataprovider.py
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@ -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"

6
tests/data/test_history.py
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@ -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])

2
tests/strategy/test_interface.py
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@ -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)