Merge branch 'fix-docs' of https://github.com/stash86/freqtrade into fix-docs

docs/plotting.md

@@ -164,7 +164,7 @@ The resulting plot will have the following elements:
 
 An advanced plot configuration can be specified in the strategy in the `plot_config` parameter.
 
-Additional features when using plot_config include:
+Additional features when using `plot_config` include:
 
 * Specify colors per indicator
 * Specify additional subplots
@@ -174,6 +174,7 @@ The sample plot configuration below specifies fixed colors for the indicators. O
 It also allows multiple subplots to display both MACD and RSI at the same time.
 
 Plot type can be configured using `type` key. Possible types are:
+
 * `scatter` corresponding to `plotly.graph_objects.Scatter` class (default).
 * `bar` corresponding to `plotly.graph_objects.Bar` class.
 
@@ -181,6 +182,54 @@ Extra parameters to `plotly.graph_objects.*` constructor can be specified in `pl
 
 Sample configuration with inline comments explaining the process:
 
+``` python
+@property
+def plot_config(self):
+    """
+        There are a lot of solutions how to build the return dictionary.
+        The only important point is the return value.
+        Example:
+            plot_config = {'main_plot': {}, 'subplots': {}}
+
+    """
+    plot_config = {}
+    plot_config['main_plot'] = {
+        # Configuration for main plot indicators.
+        # Assumes 2 parameters, emashort and emalong to be specified.
+        f'ema_{self.emashort.value}': {'color': 'red'},
+        f'ema_{self.emalong.value}': {'color': '#CCCCCC'},
+        # By omitting color, a random color is selected.
+        'sar': {},
+        # fill area between senkou_a and senkou_b
+        'senkou_a': {
+            'color': 'green', #optional
+            'fill_to': 'senkou_b',
+            'fill_label': 'Ichimoku Cloud', #optional
+            'fill_color': 'rgba(255,76,46,0.2)', #optional
+        },
+        # plot senkou_b, too. Not only the area to it.
+        'senkou_b': {}
+    }
+    plot_config['subplots'] = {
+         # Create subplot MACD
+        "MACD": {
+            'macd': {'color': 'blue', 'fill_to': 'macdhist'},
+            'macdsignal': {'color': 'orange'},
+            'macdhist': {'type': 'bar', 'plotly': {'opacity': 0.9}}
+        },
+        # Additional subplot RSI
+        "RSI": {
+            'rsi': {'color': 'red'}
+        }
+    }
+
+    return plot_config
+```
+
+??? Note "As attribute (former method)"
+    Assigning plot_config is also possible as Attribute (this used to be the default way).
+    This has the disadvantage that strategy parameters are not available, preventing certain configurations from working.
+
     ``` python
         plot_config = {
             'main_plot': {
@@ -216,6 +265,7 @@ Sample configuration with inline comments explaining the process:
 
     ```
 
+
 !!! Note
     The above configuration assumes that `ema10`, `ema50`, `senkou_a`, `senkou_b`,
     `macd`, `macdsignal`, `macdhist` and `rsi` are columns in the DataFrame created by the strategy.

docs/strategy_analysis_example.md

@@ -50,7 +50,9 @@ candles.head()
 ```python
 # Load strategy using values set above
 from freqtrade.resolvers import StrategyResolver
+from freqtrade.data.dataprovider import DataProvider
 strategy = StrategyResolver.load_strategy(config)
+strategy.dp = DataProvider(config, None, None)
 
 # Generate buy/sell signals using strategy
 df = strategy.analyze_ticker(candles, {'pair': pair})
@@ -228,7 +230,7 @@ graph = generate_candlestick_graph(pair=pair,
 # Show graph inline
 # graph.show()
 
-# Render graph in a separate window
+# Render graph in a seperate window
 graph.show(renderer="browser")
 
 ```

freqtrade/exchange/exchange.py

@@ -1294,7 +1294,7 @@ class Exchange:
         cached_pairs = []
         # Gather coroutines to run
         for pair, timeframe in set(pair_list):
-            if ((pair, timeframe) not in self._klines
+            if ((pair, timeframe) not in self._klines or not cache
                     or self._now_is_time_to_refresh(pair, timeframe)):
                 if not since_ms and self.required_candle_call_count > 1:
                     # Multiple calls for one pair - to get more history

freqtrade/freqtradebot.py

@@ -466,8 +466,8 @@ class FreqtradeBot(LoggingMixin):
             logger.info(f"Bids to asks delta for {pair} does not satisfy condition.")
             return False
 
-    def execute_entry(self, pair: str, stake_amount: float, price: Optional[float] = None,
+    def execute_entry(self, pair: str, stake_amount: float, price: Optional[float] = None, *,
-                      forcebuy: bool = False, buy_tag: Optional[str] = None) -> bool:
+                      ordertype: Optional[str] = None, buy_tag: Optional[str] = None) -> bool:
         """
         Executes a limit buy for the given pair
         :param pair: pair for which we want to create a LIMIT_BUY
@@ -510,10 +510,7 @@ class FreqtradeBot(LoggingMixin):
                     f"{stake_amount} ...")
 
         amount = stake_amount / enter_limit_requested
-        order_type = self.strategy.order_types['buy']
+        order_type = ordertype or self.strategy.order_types['buy']
-        if forcebuy:
-            # Forcebuy can define a different ordertype
-            order_type = self.strategy.order_types.get('forcebuy', order_type)
 
         if not strategy_safe_wrapper(self.strategy.confirm_trade_entry, default_retval=True)(
                 pair=pair, order_type=order_type, amount=amount, rate=enter_limit_requested,
@@ -868,7 +865,7 @@ class FreqtradeBot(LoggingMixin):
             logger.info(
                 f'Executing Sell for {trade.pair}. Reason: {should_sell.sell_type}. '
                 f'Tag: {exit_tag if exit_tag is not None else "None"}')
-            self.execute_trade_exit(trade, exit_rate, should_sell, exit_tag)
+            self.execute_trade_exit(trade, exit_rate, should_sell, exit_tag=exit_tag)
             return True
         return False
 
@@ -1081,7 +1078,10 @@ class FreqtradeBot(LoggingMixin):
             trade: Trade,
             limit: float,
             sell_reason: SellCheckTuple,
-            exit_tag: Optional[str] = None) -> bool:
+            *,
+            exit_tag: Optional[str] = None,
+            ordertype: Optional[str] = None,
+            ) -> bool:
         """
         Executes a trade exit for the given trade and limit
         :param trade: Trade instance
@@ -1119,14 +1119,10 @@ class FreqtradeBot(LoggingMixin):
             except InvalidOrderException:
                 logger.exception(f"Could not cancel stoploss order {trade.stoploss_order_id}")
 
-        order_type = self.strategy.order_types[sell_type]
+        order_type = ordertype or self.strategy.order_types[sell_type]
         if sell_reason.sell_type == SellType.EMERGENCY_SELL:
             # Emergency sells (default to market!)
             order_type = self.strategy.order_types.get("emergencysell", "market")
-        if sell_reason.sell_type == SellType.FORCE_SELL:
-            # Force sells (default to the sell_type defined in the strategy,
-            # but we allow this value to be changed)
-            order_type = self.strategy.order_types.get("forcesell", order_type)
 
         amount = self._safe_exit_amount(trade.pair, trade.amount)
         time_in_force = self.strategy.order_time_in_force['sell']

freqtrade/optimize/optimize_reports.py

@@ -46,20 +46,11 @@ def _get_line_floatfmt(stake_currency: str) -> List[str]:
             '.2f', 'd', 's', 's']
 
 
-def _get_line_header(first_column: str, stake_currency: str) -> List[str]:
+def _get_line_header(first_column: str, stake_currency: str, direction: str = 'Buys') -> List[str]:
     """
     Generate header lines (goes in line with _generate_result_line())
     """
-    return [first_column, 'Buys', 'Avg Profit %', 'Cum Profit %',
+    return [first_column, direction, 'Avg Profit %', 'Cum Profit %',
-            f'Tot Profit {stake_currency}', 'Tot Profit %', 'Avg Duration',
-            'Win  Draw  Loss  Win%']
-
-
-def _get_line_header_sell(first_column: str, stake_currency: str) -> List[str]:
-    """
-    Generate header lines (goes in line with _generate_result_line())
-    """
-    return [first_column, 'Sells', 'Avg Profit %', 'Cum Profit %',
             f'Tot Profit {stake_currency}', 'Tot Profit %', 'Avg Duration',
             'Win  Draw  Loss  Win%']
 
@@ -156,7 +147,7 @@ def generate_tag_metrics(tag_type: str,
             if skip_nan and result['profit_abs'].isnull().all():
                 continue
 
-            tabular_data.append(_generate_tag_result_line(result, starting_balance, tag))
+            tabular_data.append(_generate_result_line(result, starting_balance, tag))
 
         # Sort by total profit %:
         tabular_data = sorted(tabular_data, key=lambda k: k['profit_total_abs'], reverse=True)
@@ -168,39 +159,6 @@ def generate_tag_metrics(tag_type: str,
         return []
 
 
-def _generate_tag_result_line(result: DataFrame, starting_balance: int, first_column: str) -> Dict:
-    """
-    Generate one result dict, with "first_column" as key.
-    """
-    profit_sum = result['profit_ratio'].sum()
-    # (end-capital - starting capital) / starting capital
-    profit_total = result['profit_abs'].sum() / starting_balance
-
-    return {
-        'key': first_column,
-        'trades': len(result),
-        'profit_mean': result['profit_ratio'].mean() if len(result) > 0 else 0.0,
-        'profit_mean_pct': result['profit_ratio'].mean() * 100.0 if len(result) > 0 else 0.0,
-        'profit_sum': profit_sum,
-        'profit_sum_pct': round(profit_sum * 100.0, 2),
-        'profit_total_abs': result['profit_abs'].sum(),
-        'profit_total': profit_total,
-        'profit_total_pct': round(profit_total * 100.0, 2),
-        'duration_avg': str(timedelta(
-                            minutes=round(result['trade_duration'].mean()))
-                            ) if not result.empty else '0:00',
-        # 'duration_max': str(timedelta(
-        #                     minutes=round(result['trade_duration'].max()))
-        #                     ) if not result.empty else '0:00',
-        # 'duration_min': str(timedelta(
-        #                     minutes=round(result['trade_duration'].min()))
-        #                     ) if not result.empty else '0:00',
-        'wins': len(result[result['profit_abs'] > 0]),
-        'draws': len(result[result['profit_abs'] == 0]),
-        'losses': len(result[result['profit_abs'] < 0]),
-    }
-
-
 def generate_sell_reason_stats(max_open_trades: int, results: DataFrame) -> List[Dict]:
     """
     Generate small table outlining Backtest results
@@ -631,7 +589,7 @@ def text_table_tags(tag_type: str, tag_results: List[Dict[str, Any]], stake_curr
     if(tag_type == "buy_tag"):
         headers = _get_line_header("TAG", stake_currency)
     else:
-        headers = _get_line_header_sell("TAG", stake_currency)
+        headers = _get_line_header("TAG", stake_currency, 'Sells')
     floatfmt = _get_line_floatfmt(stake_currency)
     output = [
         [

freqtrade/rpc/api_server/api_schemas.py

@@ -1,4 +1,5 @@
 from datetime import date, datetime
+from enum import Enum
 from typing import Any, Dict, List, Optional, Union
 
 from pydantic import BaseModel
@@ -131,13 +132,21 @@ class UnfilledTimeout(BaseModel):
     exit_timeout_count: Optional[int]
 
 
+class OrderTypeValues(Enum):
+    limit = 'limit'
+    market = 'market'
+
+    class Config:
+        use_enum_values = True
+
+
 class OrderTypes(BaseModel):
-    buy: str
+    buy: OrderTypeValues
-    sell: str
+    sell: OrderTypeValues
-    emergencysell: Optional[str]
+    emergencysell: Optional[OrderTypeValues]
-    forcesell: Optional[str]
+    forcesell: Optional[OrderTypeValues]
-    forcebuy: Optional[str]
+    forcebuy: Optional[OrderTypeValues]
-    stoploss: str
+    stoploss: OrderTypeValues
     stoploss_on_exchange: bool
     stoploss_on_exchange_interval: Optional[int]
 
@@ -274,10 +283,12 @@ class Logs(BaseModel):
 class ForceBuyPayload(BaseModel):
     pair: str
     price: Optional[float]
+    ordertype: Optional[OrderTypeValues]
 
 
 class ForceSellPayload(BaseModel):
     tradeid: str
+    ordertype: Optional[OrderTypeValues]
 
 
 class BlacklistPayload(BaseModel):

freqtrade/rpc/api_server/api_v1.py

@@ -29,7 +29,8 @@ logger = logging.getLogger(__name__)
 # API version
 # Pre-1.1, no version was provided
 # Version increments should happen in "small" steps (1.1, 1.12, ...) unless big changes happen.
-API_VERSION = 1.1
+# 1.11: forcebuy and forcesell accept ordertype
+API_VERSION = 1.11
 
 # Public API, requires no auth.
 router_public = APIRouter()
@@ -129,7 +130,8 @@ def show_config(rpc: Optional[RPC] = Depends(get_rpc_optional), config=Depends(g
 
 @router.post('/forcebuy', response_model=ForceBuyResponse, tags=['trading'])
 def forcebuy(payload: ForceBuyPayload, rpc: RPC = Depends(get_rpc)):
-    trade = rpc._rpc_forcebuy(payload.pair, payload.price)
+    ordertype = payload.ordertype.value if payload.ordertype else None
+    trade = rpc._rpc_forcebuy(payload.pair, payload.price, ordertype)
 
     if trade:
         return ForceBuyResponse.parse_obj(trade.to_json())
@@ -139,7 +141,8 @@ def forcebuy(payload: ForceBuyPayload, rpc: RPC = Depends(get_rpc)):
 
 @router.post('/forcesell', response_model=ResultMsg, tags=['trading'])
 def forcesell(payload: ForceSellPayload, rpc: RPC = Depends(get_rpc)):
-    return rpc._rpc_forcesell(payload.tradeid)
+    ordertype = payload.ordertype.value if payload.ordertype else None
+    return rpc._rpc_forcesell(payload.tradeid, ordertype)
 
 
 @router.get('/blacklist', response_model=BlacklistResponse, tags=['info', 'pairlist'])

freqtrade/rpc/rpc.py

@@ -640,7 +640,7 @@ class RPC:
 
         return {'status': 'No more buy will occur from now. Run /reload_config to reset.'}
 
-    def _rpc_forcesell(self, trade_id: str) -> Dict[str, str]:
+    def _rpc_forcesell(self, trade_id: str, ordertype: Optional[str] = None) -> Dict[str, str]:
         """
         Handler for forcesell <id>.
         Sells the given trade at current price
@@ -664,7 +664,11 @@ class RPC:
                 current_rate = self._freqtrade.exchange.get_rate(
                     trade.pair, refresh=False, side="sell")
                 sell_reason = SellCheckTuple(sell_type=SellType.FORCE_SELL)
-                self._freqtrade.execute_trade_exit(trade, current_rate, sell_reason)
+                order_type = ordertype or self._freqtrade.strategy.order_types.get(
+                    "forcesell", self._freqtrade.strategy.order_types["sell"])
+
+                self._freqtrade.execute_trade_exit(
+                    trade, current_rate, sell_reason, ordertype=order_type)
         # ---- EOF def _exec_forcesell ----
 
         if self._freqtrade.state != State.RUNNING:
@@ -692,7 +696,8 @@ class RPC:
             self._freqtrade.wallets.update()
             return {'result': f'Created sell order for trade {trade_id}.'}
 
-    def _rpc_forcebuy(self, pair: str, price: Optional[float]) -> Optional[Trade]:
+    def _rpc_forcebuy(self, pair: str, price: Optional[float],
+                      order_type: Optional[str] = None) -> Optional[Trade]:
         """
         Handler for forcebuy <asset> <price>
         Buys a pair trade at the given or current price
@@ -720,7 +725,10 @@ class RPC:
         stakeamount = self._freqtrade.wallets.get_trade_stake_amount(pair)
 
         # execute buy
-        if self._freqtrade.execute_entry(pair, stakeamount, price, forcebuy=True):
+        if not order_type:
+            order_type = self._freqtrade.strategy.order_types.get(
+                'forcebuy', self._freqtrade.strategy.order_types['buy'])
+        if self._freqtrade.execute_entry(pair, stakeamount, price, ordertype=order_type):
             Trade.commit()
             trade = Trade.get_trades([Trade.is_open.is_(True), Trade.pair == pair]).first()
             return trade

freqtrade/templates/base_strategy.py.j2

@@ -87,6 +87,7 @@ class {{ strategy }}(IStrategy):
         'sell': 'gtc'
     }
     {{ plot_config | indent(4) }}
+
     def informative_pairs(self):
         """
         Define additional, informative pair/interval combinations to be cached from the exchange.

freqtrade/templates/strategy_analysis_example.ipynb

@@ -79,7 +79,9 @@
    "source": [
     "# Load strategy using values set above\n",
     "from freqtrade.resolvers import StrategyResolver\n",
+    "from freqtrade.data.dataprovider import DataProvider\n",
     "strategy = StrategyResolver.load_strategy(config)\n",
+    "strategy.dp = DataProvider(config, None, None)\n",
     "\n",
     "# Generate buy/sell signals using strategy\n",
     "df = strategy.analyze_ticker(candles, {'pair': pair})\n",

freqtrade/templates/subtemplates/plot_config_full.j2

@@ -1,5 +1,7 @@
 
-plot_config = {
+@property
+def plot_config(self):
+    return {
         # Main plot indicators (Moving averages, ...)
         'main_plot': {
             'tema': {},

tests/exchange/test_exchange.py

@@ -1667,12 +1667,21 @@ def test_refresh_latest_ohlcv(mocker, default_conf, caplog) -> None:
     assert len(res) == len(pairs)
 
     assert exchange._api_async.fetch_ohlcv.call_count == 0
+    exchange.required_candle_call_count = 1
     assert log_has(f"Using cached candle (OHLCV) data for pair {pairs[0][0]}, "
                    f"timeframe {pairs[0][1]} ...",
                    caplog)
     res = exchange.refresh_latest_ohlcv([('IOTA/ETH', '5m'), ('XRP/ETH', '5m'), ('XRP/ETH', '1d')],
                                         cache=False)
     assert len(res) == 3
+    assert exchange._api_async.fetch_ohlcv.call_count == 3
+
+    # Test the same again, should NOT return from cache!
+    exchange._api_async.fetch_ohlcv.reset_mock()
+    res = exchange.refresh_latest_ohlcv([('IOTA/ETH', '5m'), ('XRP/ETH', '5m'), ('XRP/ETH', '1d')],
+                                        cache=False)
+    assert len(res) == 3
+    assert exchange._api_async.fetch_ohlcv.call_count == 3
 
 
 @pytest.mark.asyncio

tests/rpc/test_rpc.py

@@ -1093,7 +1093,7 @@ def test_rpcforcebuy(mocker, default_conf, ticker, fee, limit_buy_order_open) ->
     with pytest.raises(RPCException, match=r'position for ETH/BTC already open - id: 1'):
         rpc._rpc_forcebuy(pair, 0.0001)
     pair = 'XRP/BTC'
-    trade = rpc._rpc_forcebuy(pair, 0.0001)
+    trade = rpc._rpc_forcebuy(pair, 0.0001, order_type='limit')
     assert isinstance(trade, Trade)
     assert trade.pair == pair
     assert trade.open_rate == 0.0001

tests/rpc/test_rpc_telegram.py

@@ -24,6 +24,7 @@ from freqtrade.freqtradebot import FreqtradeBot
 from freqtrade.loggers import setup_logging
 from freqtrade.persistence import PairLocks, Trade
 from freqtrade.rpc import RPC
+from freqtrade.rpc.rpc import RPCException
 from freqtrade.rpc.telegram import Telegram, authorized_only
 from tests.conftest import (create_mock_trades, get_patched_freqtradebot, log_has, log_has_re,
                             patch_exchange, patch_get_signal, patch_whitelist)
@@ -1186,7 +1187,7 @@ def test_forcebuy_no_pair(default_conf, update, mocker) -> None:
     assert fbuy_mock.call_count == 1
 
 
-def test_performance_handle(default_conf, update, ticker, fee,
+def test_telegram_performance_handle(default_conf, update, ticker, fee,
                                      limit_buy_order, limit_sell_order, mocker) -> None:
 
     mocker.patch.multiple(
@@ -1216,7 +1217,7 @@ def test_performance_handle(default_conf, update, ticker, fee,
     assert '<code>ETH/BTC\t0.00006217 BTC (6.20%) (1)</code>' in msg_mock.call_args_list[0][0][0]
 
 
-def test_buy_tag_performance_handle(default_conf, update, ticker, fee,
+def test_telegram_buy_tag_performance_handle(default_conf, update, ticker, fee,
                                              limit_buy_order, limit_sell_order, mocker) -> None:
     mocker.patch.multiple(
         'freqtrade.exchange.Exchange',
@@ -1240,14 +1241,26 @@ def test_buy_tag_performance_handle(default_conf, update, ticker, fee,
 
     trade.close_date = datetime.utcnow()
     trade.is_open = False
-
+    context = MagicMock()
-    telegram._buy_tag_performance(update=update, context=MagicMock())
+    telegram._buy_tag_performance(update=update, context=context)
     assert msg_mock.call_count == 1
     assert 'Buy Tag Performance' in msg_mock.call_args_list[0][0][0]
     assert '<code>TESTBUY\t0.00006217 BTC (6.20%) (1)</code>' in msg_mock.call_args_list[0][0][0]
 
+    context.args = [trade.pair]
+    telegram._buy_tag_performance(update=update, context=context)
+    assert msg_mock.call_count == 2
 
-def test_sell_reason_performance_handle(default_conf, update, ticker, fee,
+    msg_mock.reset_mock()
+    mocker.patch('freqtrade.rpc.rpc.RPC._rpc_buy_tag_performance',
+                 side_effect=RPCException('Error'))
+    telegram._buy_tag_performance(update=update, context=MagicMock())
+
+    assert msg_mock.call_count == 1
+    assert "Error" in msg_mock.call_args_list[0][0][0]
+
+
+def test_telegram_sell_reason_performance_handle(default_conf, update, ticker, fee,
                                                  limit_buy_order, limit_sell_order, mocker) -> None:
     mocker.patch.multiple(
         'freqtrade.exchange.Exchange',
@@ -1271,14 +1284,26 @@ def test_sell_reason_performance_handle(default_conf, update, ticker, fee,
 
     trade.close_date = datetime.utcnow()
     trade.is_open = False
-
+    context = MagicMock()
-    telegram._sell_reason_performance(update=update, context=MagicMock())
+    telegram._sell_reason_performance(update=update, context=context)
     assert msg_mock.call_count == 1
     assert 'Sell Reason Performance' in msg_mock.call_args_list[0][0][0]
     assert '<code>TESTSELL\t0.00006217 BTC (6.20%) (1)</code>' in msg_mock.call_args_list[0][0][0]
+    context.args = [trade.pair]
+
+    telegram._sell_reason_performance(update=update, context=context)
+    assert msg_mock.call_count == 2
+
+    msg_mock.reset_mock()
+    mocker.patch('freqtrade.rpc.rpc.RPC._rpc_sell_reason_performance',
+                 side_effect=RPCException('Error'))
+    telegram._sell_reason_performance(update=update, context=MagicMock())
+
+    assert msg_mock.call_count == 1
+    assert "Error" in msg_mock.call_args_list[0][0][0]
 
 
-def test_mix_tag_performance_handle(default_conf, update, ticker, fee,
+def test_telegram_mix_tag_performance_handle(default_conf, update, ticker, fee,
                                              limit_buy_order, limit_sell_order, mocker) -> None:
     mocker.patch.multiple(
         'freqtrade.exchange.Exchange',
@@ -1305,12 +1330,25 @@ def test_mix_tag_performance_handle(default_conf, update, ticker, fee,
     trade.close_date = datetime.utcnow()
     trade.is_open = False
 
-    telegram._mix_tag_performance(update=update, context=MagicMock())
+    context = MagicMock()
+    telegram._mix_tag_performance(update=update, context=context)
     assert msg_mock.call_count == 1
     assert 'Mix Tag Performance' in msg_mock.call_args_list[0][0][0]
     assert ('<code>TESTBUY TESTSELL\t0.00006217 BTC (6.20%) (1)</code>'
             in msg_mock.call_args_list[0][0][0])
 
+    context.args = [trade.pair]
+    telegram._mix_tag_performance(update=update, context=context)
+    assert msg_mock.call_count == 2
+
+    msg_mock.reset_mock()
+    mocker.patch('freqtrade.rpc.rpc.RPC._rpc_mix_tag_performance',
+                 side_effect=RPCException('Error'))
+    telegram._mix_tag_performance(update=update, context=MagicMock())
+
+    assert msg_mock.call_count == 1
+    assert "Error" in msg_mock.call_args_list[0][0][0]
+
 
 def test_count_handle(default_conf, update, ticker, fee, mocker) -> None:
     mocker.patch.multiple(