Enable flake8 E226 rule
This commit is contained in:
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1084787a38
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baefda80d1
@ -16,4 +16,4 @@ class PeriodicCache(TTLCache):
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return ts - offset
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# Init with smlight offset
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super().__init__(maxsize=maxsize, ttl=ttl-1e-5, timer=local_timer, getsizeof=getsizeof)
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super().__init__(maxsize=maxsize, ttl=ttl - 1e-5, timer=local_timer, getsizeof=getsizeof)
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@ -31,7 +31,7 @@ def log_config_error_range(path: str, errmsg: str) -> str:
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offset = int(offsetlist[0])
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text = Path(path).read_text()
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# Fetch an offset of 80 characters around the error line
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subtext = text[offset-min(80, offset):offset+80]
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subtext = text[offset - min(80, offset):offset + 80]
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segments = subtext.split('\n')
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if len(segments) > 3:
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# Remove first and last lines, to avoid odd truncations
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@ -2177,7 +2177,7 @@ class Exchange:
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lev = tier['lev']
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if tier_index < len(pair_tiers) - 1:
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next_tier = pair_tiers[tier_index+1]
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next_tier = pair_tiers[tier_index + 1]
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next_floor = next_tier['min'] / next_tier['lev']
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if next_floor > stake_amount: # Next tier min too high for stake amount
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return min((tier['max'] / stake_amount), lev)
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@ -31,13 +31,13 @@ def interest(
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"""
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exchange_name = exchange_name.lower()
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if exchange_name == "binance":
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return borrowed * rate * ceil(hours)/twenty_four
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return borrowed * rate * ceil(hours) / twenty_four
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elif exchange_name == "kraken":
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# Rounded based on https://kraken-fees-calculator.github.io/
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return borrowed * rate * (one+ceil(hours/four))
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return borrowed * rate * (one + ceil(hours / four))
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elif exchange_name == "ftx":
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# As Explained under #Interest rates section in
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# https://help.ftx.com/hc/en-us/articles/360053007671-Spot-Margin-Trading-Explainer
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return borrowed * rate * ceil(hours)/twenty_four
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return borrowed * rate * ceil(hours) / twenty_four
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else:
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raise OperationalException(f"Leverage not available on {exchange_name} with freqtrade")
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@ -126,7 +126,7 @@ def format_ms_time(date: int) -> str:
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convert MS date to readable format.
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: epoch-string in ms
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"""
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return datetime.fromtimestamp(date/1000.0).strftime('%Y-%m-%dT%H:%M:%S')
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return datetime.fromtimestamp(date / 1000.0).strftime('%Y-%m-%dT%H:%M:%S')
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def deep_merge_dicts(source, destination, allow_null_overrides: bool = True):
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@ -390,8 +390,8 @@ class HyperoptTools():
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lambda x: '{} {}'.format(
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round_coin_value(x['Total profit'], stake_currency, keep_trailing_zeros=True),
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f"({x['Profit']:,.2%})".rjust(10, ' ')
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).rjust(25+len(stake_currency))
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if x['Total profit'] != 0.0 else '--'.rjust(25+len(stake_currency)),
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).rjust(25 + len(stake_currency))
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if x['Total profit'] != 0.0 else '--'.rjust(25 + len(stake_currency)),
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axis=1
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)
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trials = trials.drop(columns=['Total profit'])
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@ -399,11 +399,11 @@ class HyperoptTools():
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if print_colorized:
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for i in range(len(trials)):
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if trials.loc[i]['is_profit']:
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for j in range(len(trials.loc[i])-3):
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for j in range(len(trials.loc[i]) - 3):
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trials.iat[i, j] = "{}{}{}".format(Fore.GREEN,
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str(trials.loc[i][j]), Fore.RESET)
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if trials.loc[i]['is_best'] and highlight_best:
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for j in range(len(trials.loc[i])-3):
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for j in range(len(trials.loc[i]) - 3):
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trials.iat[i, j] = "{}{}{}".format(Style.BRIGHT,
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str(trials.loc[i][j]), Style.RESET_ALL)
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@ -459,7 +459,7 @@ class HyperoptTools():
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'loss', 'is_initial_point', 'is_best']
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perc_multi = 100
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param_metrics = [("params_dict."+param) for param in results[0]['params_dict'].keys()]
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param_metrics = [("params_dict." + param) for param in results[0]['params_dict'].keys()]
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trials = trials[base_metrics + param_metrics]
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base_columns = ['Best', 'Epoch', 'Trades', 'Avg profit', 'Median profit', 'Total profit',
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@ -360,7 +360,7 @@ class LocalTrade():
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if self.has_no_leverage:
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return 0.0
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elif not self.is_short:
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return (self.amount * self.open_rate) * ((self.leverage-1)/self.leverage)
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return (self.amount * self.open_rate) * ((self.leverage - 1) / self.leverage)
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else:
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return self.amount
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@ -747,7 +747,7 @@ class LocalTrade():
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now = (self.close_date or datetime.now(timezone.utc)).replace(tzinfo=None)
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sec_per_hour = Decimal(3600)
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total_seconds = Decimal((now - open_date).total_seconds())
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hours = total_seconds/sec_per_hour or zero
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hours = total_seconds / sec_per_hour or zero
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rate = Decimal(interest_rate or self.interest_rate)
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borrowed = Decimal(self.borrowed)
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@ -861,9 +861,9 @@ class LocalTrade():
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return 0.0
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else:
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if self.is_short:
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profit_ratio = (1 - (close_trade_value/self.open_trade_value)) * leverage
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profit_ratio = (1 - (close_trade_value / self.open_trade_value)) * leverage
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else:
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profit_ratio = ((close_trade_value/self.open_trade_value) - 1) * leverage
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profit_ratio = ((close_trade_value / self.open_trade_value) - 1) * leverage
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return float(f"{profit_ratio:.8f}")
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@ -107,7 +107,7 @@ class VolatilityFilter(IPairList):
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returns = (np.log(daily_candles.close / daily_candles.close.shift(-1)))
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returns.fillna(0, inplace=True)
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volatility_series = returns.rolling(window=self._days).std()*np.sqrt(self._days)
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volatility_series = returns.rolling(window=self._days).std() * np.sqrt(self._days)
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volatility_avg = volatility_series.mean()
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if self._min_volatility <= volatility_avg <= self._max_volatility:
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@ -419,7 +419,8 @@ class Telegram(RPCHandler):
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if prev_avg_price:
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minus_on_entry = (cur_entry_average - prev_avg_price) / prev_avg_price
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dur_entry = cur_entry_datetime - arrow.get(filled_orders[x-1]["order_filled_date"])
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dur_entry = cur_entry_datetime - arrow.get(
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filled_orders[x - 1]["order_filled_date"])
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days = dur_entry.days
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hours, remainder = divmod(dur_entry.seconds, 3600)
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minutes, seconds = divmod(remainder, 60)
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@ -93,9 +93,9 @@ def stoploss_from_open(
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return 1
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if is_short is True:
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stoploss = -1+((1-open_relative_stop)/(1-current_profit))
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stoploss = -1 + ((1 - open_relative_stop) / (1 - current_profit))
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else:
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stoploss = 1-((1+open_relative_stop)/(1+current_profit))
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stoploss = 1 - ((1 + open_relative_stop) / (1 + current_profit))
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# negative stoploss values indicate the requested stop price is higher/lower
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# (long/short) than the current price
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@ -39,7 +39,9 @@ console_scripts =
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freqtrade = freqtrade.main:main
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[flake8]
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#ignore =
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# Default from https://flake8.pycqa.org/en/latest/user/options.html#cmdoption-flake8-ignore
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# minus E226
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ignore = E121,E123,E126,E24,E704,W503,W504
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max-line-length = 100
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max-complexity = 12
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exclude =
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@ -382,11 +382,11 @@ def test__get_stake_amount_limit(mocker, default_conf) -> None:
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)
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# min
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result = exchange.get_min_pair_stake_amount('ETH/BTC', 1, stoploss)
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expected_result = 2 * (1+0.05) / (1-abs(stoploss))
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expected_result = 2 * (1 + 0.05) / (1 - abs(stoploss))
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assert isclose(result, expected_result)
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# With Leverage
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result = exchange.get_min_pair_stake_amount('ETH/BTC', 1, stoploss, 3.0)
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assert isclose(result, expected_result/3)
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assert isclose(result, expected_result / 3)
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# max
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result = exchange.get_max_pair_stake_amount('ETH/BTC', 2)
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assert result == 10000
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@ -401,11 +401,11 @@ def test__get_stake_amount_limit(mocker, default_conf) -> None:
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PropertyMock(return_value=markets)
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)
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result = exchange.get_min_pair_stake_amount('ETH/BTC', 2, stoploss)
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expected_result = 2 * 2 * (1+0.05) / (1-abs(stoploss))
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expected_result = 2 * 2 * (1 + 0.05) / (1 - abs(stoploss))
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assert isclose(result, expected_result)
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# With Leverage
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result = exchange.get_min_pair_stake_amount('ETH/BTC', 2, stoploss, 5.0)
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assert isclose(result, expected_result/5)
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assert isclose(result, expected_result / 5)
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# max
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result = exchange.get_max_pair_stake_amount('ETH/BTC', 2)
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assert result == 20000
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@ -420,11 +420,11 @@ def test__get_stake_amount_limit(mocker, default_conf) -> None:
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PropertyMock(return_value=markets)
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)
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result = exchange.get_min_pair_stake_amount('ETH/BTC', 2, stoploss)
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expected_result = max(2, 2 * 2) * (1+0.05) / (1-abs(stoploss))
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expected_result = max(2, 2 * 2) * (1 + 0.05) / (1 - abs(stoploss))
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assert isclose(result, expected_result)
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# With Leverage
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result = exchange.get_min_pair_stake_amount('ETH/BTC', 2, stoploss, 10)
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assert isclose(result, expected_result/10)
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assert isclose(result, expected_result / 10)
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# min amount and cost are set (amount is minial)
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markets["ETH/BTC"]["limits"] = {
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@ -436,11 +436,11 @@ def test__get_stake_amount_limit(mocker, default_conf) -> None:
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PropertyMock(return_value=markets)
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)
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result = exchange.get_min_pair_stake_amount('ETH/BTC', 2, stoploss)
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expected_result = max(8, 2 * 2) * (1+0.05) / (1-abs(stoploss))
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expected_result = max(8, 2 * 2) * (1 + 0.05) / (1 - abs(stoploss))
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assert isclose(result, expected_result)
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# With Leverage
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result = exchange.get_min_pair_stake_amount('ETH/BTC', 2, stoploss, 7.0)
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assert isclose(result, expected_result/7.0)
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assert isclose(result, expected_result / 7.0)
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# Max
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result = exchange.get_max_pair_stake_amount('ETH/BTC', 2)
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assert result == 1000
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@ -450,7 +450,7 @@ def test__get_stake_amount_limit(mocker, default_conf) -> None:
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assert isclose(result, expected_result)
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# With Leverage
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result = exchange.get_min_pair_stake_amount('ETH/BTC', 2, -0.4, 8.0)
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assert isclose(result, expected_result/8.0)
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assert isclose(result, expected_result / 8.0)
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# Max
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result = exchange.get_max_pair_stake_amount('ETH/BTC', 2)
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assert result == 1000
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@ -461,7 +461,7 @@ def test__get_stake_amount_limit(mocker, default_conf) -> None:
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assert isclose(result, expected_result)
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# With Leverage
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result = exchange.get_min_pair_stake_amount('ETH/BTC', 2, -1, 12.0)
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assert isclose(result, expected_result/12)
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assert isclose(result, expected_result / 12)
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# Max
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result = exchange.get_max_pair_stake_amount('ETH/BTC', 2)
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assert result == 1000
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@ -489,7 +489,7 @@ def test__get_stake_amount_limit(mocker, default_conf) -> None:
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)
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# With Leverage, Contract size 10
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result = exchange.get_min_pair_stake_amount('ETH/BTC', 2, -1, 12.0)
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assert isclose(result, (expected_result/12) * 10.0)
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assert isclose(result, (expected_result / 12) * 10.0)
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# Max
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result = exchange.get_max_pair_stake_amount('ETH/BTC', 2)
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assert result == 10000
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@ -510,7 +510,7 @@ def test_get_min_pair_stake_amount_real_data(mocker, default_conf) -> None:
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PropertyMock(return_value=markets)
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)
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result = exchange.get_min_pair_stake_amount('ETH/BTC', 0.020405, stoploss)
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expected_result = max(0.0001, 0.001 * 0.020405) * (1+0.05) / (1-abs(stoploss))
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expected_result = max(0.0001, 0.001 * 0.020405) * (1 + 0.05) / (1 - abs(stoploss))
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assert round(result, 8) == round(expected_result, 8)
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# Max
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result = exchange.get_max_pair_stake_amount('ETH/BTC', 2.0)
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@ -518,12 +518,12 @@ def test_get_min_pair_stake_amount_real_data(mocker, default_conf) -> None:
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# Leverage
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result = exchange.get_min_pair_stake_amount('ETH/BTC', 0.020405, stoploss, 3.0)
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assert round(result, 8) == round(expected_result/3, 8)
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assert round(result, 8) == round(expected_result / 3, 8)
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# Contract_size
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markets["ETH/BTC"]["contractSize"] = 0.1
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result = exchange.get_min_pair_stake_amount('ETH/BTC', 0.020405, stoploss, 3.0)
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assert round(result, 8) == round((expected_result/3), 8)
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assert round(result, 8) == round((expected_result / 3), 8)
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# Max
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result = exchange.get_max_pair_stake_amount('ETH/BTC', 12.0)
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@ -2691,9 +2691,10 @@ async def test__async_get_trade_history_time(default_conf, mocker, caplog, excha
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# Monkey-patch async function
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exchange._api_async.fetch_trades = MagicMock(side_effect=mock_get_trade_hist)
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pair = 'ETH/BTC'
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ret = await exchange._async_get_trade_history_time(pair,
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since=fetch_trades_result[0]['timestamp'],
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until=fetch_trades_result[-1]['timestamp']-1)
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ret = await exchange._async_get_trade_history_time(
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pair,
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since=fetch_trades_result[0]['timestamp'],
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until=fetch_trades_result[-1]['timestamp'] - 1)
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assert type(ret) is tuple
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assert ret[0] == pair
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assert type(ret[1]) is list
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@ -2729,7 +2730,7 @@ async def test__async_get_trade_history_time_empty(default_conf, mocker, caplog,
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exchange._async_fetch_trades = MagicMock(side_effect=mock_get_trade_hist)
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pair = 'ETH/BTC'
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ret = await exchange._async_get_trade_history_time(pair, since=trades_history[0][0],
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until=trades_history[-1][0]-1)
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until=trades_history[-1][0] - 1)
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assert type(ret) is tuple
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assert ret[0] == pair
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assert type(ret[1]) is list
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@ -6,7 +6,7 @@ import pytest
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from freqtrade.leverage import interest
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ten_mins = Decimal(1/6)
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ten_mins = Decimal(1 / 6)
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five_hours = Decimal(5.0)
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twentyfive_hours = Decimal(25.0)
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@ -190,7 +190,7 @@ def test_store_backtest_stats(testdatadir, mocker):
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assert dump_mock.call_count == 3
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assert isinstance(dump_mock.call_args_list[0][0][0], Path)
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assert str(dump_mock.call_args_list[0][0][0]).startswith(str(testdatadir/'backtest-result'))
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assert str(dump_mock.call_args_list[0][0][0]).startswith(str(testdatadir / 'backtest-result'))
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dump_mock.reset_mock()
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filename = testdatadir / 'testresult.json'
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@ -164,7 +164,7 @@ def test_stoploss_from_absolute():
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assert pytest.approx(stoploss_from_absolute(90, 100, True)) == 0
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assert pytest.approx(stoploss_from_absolute(100, 100, True)) == 0
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assert pytest.approx(stoploss_from_absolute(110, 100, True)) == -(1 - (110/100))
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assert pytest.approx(stoploss_from_absolute(110, 100, True)) == -(1 - (110 / 100))
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assert pytest.approx(stoploss_from_absolute(110, 100, True)) == 0.1
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assert pytest.approx(stoploss_from_absolute(105, 100, True)) == 0.05
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assert pytest.approx(stoploss_from_absolute(100, 0, True)) == 1
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@ -119,7 +119,7 @@ def test_set_stop_loss_isolated_liq(fee):
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assert trade.stop_loss is None
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assert trade.initial_stop_loss is None
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trade._set_stop_loss(0.1, (1.0/9.0))
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trade._set_stop_loss(0.1, (1.0 / 9.0))
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assert trade.liquidation_price == 0.09
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assert trade.stop_loss == 0.1
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assert trade.initial_stop_loss == 0.1
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@ -160,7 +160,7 @@ def test_set_stop_loss_isolated_liq(fee):
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assert trade.stop_loss is None
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assert trade.initial_stop_loss is None
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trade._set_stop_loss(0.08, (1.0/9.0))
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trade._set_stop_loss(0.08, (1.0 / 9.0))
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assert trade.liquidation_price == 0.09
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assert trade.stop_loss == 0.08
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assert trade.initial_stop_loss == 0.08
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@ -171,13 +171,13 @@ def test_set_stop_loss_isolated_liq(fee):
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assert trade.initial_stop_loss == 0.08
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trade.set_isolated_liq(0.07)
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trade._set_stop_loss(0.1, (1.0/8.0))
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trade._set_stop_loss(0.1, (1.0 / 8.0))
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assert trade.liquidation_price == 0.07
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assert trade.stop_loss == 0.07
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assert trade.initial_stop_loss == 0.08
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# Stop doesn't move stop higher
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trade._set_stop_loss(0.1, (1.0/9.0))
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trade._set_stop_loss(0.1, (1.0 / 9.0))
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assert trade.liquidation_price == 0.07
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assert trade.stop_loss == 0.07
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assert trade.initial_stop_loss == 0.08
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