Merge branch 'develop' of https://github.com/farmage/freqtrade into develop

docs/bot-basics.md

@@ -20,7 +20,9 @@ All profit calculations of Freqtrade include fees. For Backtesting / Hyperopt /
 ## Bot execution logic
 
 Starting freqtrade in dry-run or live mode (using `freqtrade trade`) will start the bot and start the bot iteration loop.
-By default, loop runs every few seconds (`internals.process_throttle_secs`) and does roughly the following in the following sequence:
+This will also run the `bot_start()` callback.
+
+By default, the bot loop runs every few seconds (`internals.process_throttle_secs`) and performs the following actions:
 
 * Fetch open trades from persistence.
 * Calculate current list of tradable pairs.
@@ -54,6 +56,7 @@ This loop will be repeated again and again until the bot is stopped.
 [backtesting](backtesting.md) or [hyperopt](hyperopt.md) do only part of the above logic, since most of the trading operations are fully simulated.
 
 * Load historic data for configured pairlist.
+* Calls `bot_start()` once.
 * Calls `bot_loop_start()` once.
 * Calculate indicators (calls `populate_indicators()` once per pair).
 * Calculate entry / exit signals (calls `populate_entry_trend()` and `populate_exit_trend()` once per pair).

freqtrade/freqtradebot.py

@@ -959,6 +959,29 @@ class FreqtradeBot(LoggingMixin):
         logger.debug(f'Found no {exit_signal_type} signal for %s.', trade)
         return False
 
+    def _check_and_execute_exit(self, trade: Trade, exit_rate: float,
+                                enter: bool, exit_: bool, exit_tag: Optional[str]) -> bool:
+        """
+        Check and execute trade exit
+        """
+        exits: List[ExitCheckTuple] = self.strategy.should_exit(
+            trade,
+            exit_rate,
+            datetime.now(timezone.utc),
+            enter=enter,
+            exit_=exit_,
+            force_stoploss=self.edge.stoploss(trade.pair) if self.edge else 0
+        )
+        for should_exit in exits:
+            if should_exit.exit_flag:
+                exit_tag1 = exit_tag if should_exit.exit_type == ExitType.EXIT_SIGNAL else None
+                logger.info(f'Exit for {trade.pair} detected. Reason: {should_exit.exit_type}'
+                            f'{f" Tag: {exit_tag1}" if exit_tag1 is not None else ""}')
+                exited = self.execute_trade_exit(trade, exit_rate, should_exit, exit_tag=exit_tag1)
+                if exited:
+                    return True
+        return False
+
     def create_stoploss_order(self, trade: Trade, stop_price: float) -> bool:
         """
         Abstracts creating stoploss orders from the logic.
@@ -1110,28 +1133,6 @@ class FreqtradeBot(LoggingMixin):
                     logger.warning(f"Could not create trailing stoploss order "
                                    f"for pair {trade.pair}.")
 
-    def _check_and_execute_exit(self, trade: Trade, exit_rate: float,
-                                enter: bool, exit_: bool, exit_tag: Optional[str]) -> bool:
-        """
-        Check and execute trade exit
-        """
-        exits: List[ExitCheckTuple] = self.strategy.should_exit(
-            trade,
-            exit_rate,
-            datetime.now(timezone.utc),
-            enter=enter,
-            exit_=exit_,
-            force_stoploss=self.edge.stoploss(trade.pair) if self.edge else 0
-        )
-        for should_exit in exits:
-            if should_exit.exit_flag:
-                logger.info(f'Exit for {trade.pair} detected. Reason: {should_exit.exit_type}'
-                            f'{f" Tag: {exit_tag}" if exit_tag is not None else ""}')
-                exited = self.execute_trade_exit(trade, exit_rate, should_exit, exit_tag=exit_tag)
-                if exited:
-                    return True
-        return False
-
     def manage_open_orders(self) -> None:
         """
         Management of open orders on exchange. Unfilled orders might be cancelled if timeout

freqtrade/optimize/backtesting.py

@@ -189,6 +189,7 @@ class Backtesting:
         self.strategy.order_types['stoploss_on_exchange'] = False
 
         self.strategy.ft_bot_start()
+        strategy_safe_wrapper(self.strategy.bot_loop_start, supress_error=True)()
 
     def _load_protections(self, strategy: IStrategy):
         if self.config.get('enable_protections', False):
@@ -1140,8 +1141,6 @@ class Backtesting:
         backtest_start_time = datetime.now(timezone.utc)
         self._set_strategy(strat)
 
-        strategy_safe_wrapper(self.strategy.bot_loop_start, supress_error=True)()
-
         # Use max_open_trades in backtesting, except --disable-max-market-positions is set
         if self.config.get('use_max_market_positions', True):
             # Must come from strategy config, as the strategy may modify this setting.

requirements.txt

@@ -2,17 +2,17 @@ numpy==1.23.0
 pandas==1.4.3
 pandas-ta==0.3.14b
 
-ccxt==1.89.14
+ccxt==1.89.96
 # Pin cryptography for now due to rust build errors with piwheels
 cryptography==37.0.2
 aiohttp==3.8.1
 SQLAlchemy==1.4.39
-python-telegram-bot==13.12
+python-telegram-bot==13.13
 arrow==1.2.2
 cachetools==4.2.2
-requests==2.28.0
+requests==2.28.1
 urllib3==1.26.9
-jsonschema==4.6.0
+jsonschema==4.6.1
 TA-Lib==0.4.24
 technical==1.3.0
 tabulate==0.8.10
@@ -28,14 +28,14 @@ py_find_1st==1.1.5
 # Load ticker files 30% faster
 python-rapidjson==1.6
 # Properly format api responses
-orjson==3.7.3
+orjson==3.7.6
 
 # Notify systemd
 sdnotify==0.3.2
 
 # API Server
 fastapi==0.78.0
-uvicorn==0.17.6
+uvicorn==0.18.2
 pyjwt==2.4.0
 aiofiles==0.8.0
 psutil==5.9.1
@@ -44,7 +44,7 @@ psutil==5.9.1
 colorama==0.4.5
 # Building config files interactively
 questionary==1.10.0
-prompt-toolkit==3.0.29
+prompt-toolkit==3.0.30
 # Extensions to datetime library
 python-dateutil==2.8.2
 

tests/optimize/test_hyperopt.py

@@ -861,6 +861,7 @@ def test_in_strategy_auto_hyperopt(mocker, hyperopt_conf, tmpdir, fee) -> None:
     hyperopt.backtesting.exchange.get_max_leverage = MagicMock(return_value=1.0)
     assert isinstance(hyperopt.custom_hyperopt, HyperOptAuto)
     assert isinstance(hyperopt.backtesting.strategy.buy_rsi, IntParameter)
+    assert hyperopt.backtesting.strategy.bot_loop_started is True
 
     assert hyperopt.backtesting.strategy.buy_rsi.in_space is True
     assert hyperopt.backtesting.strategy.buy_rsi.value == 35

tests/strategy/strats/hyperoptable_strategy.py

@@ -44,6 +44,11 @@ class HyperoptableStrategy(StrategyTestV2):
             })
         return prot
 
+    bot_loop_started = False
+
+    def bot_loop_start(self):
+        self.bot_loop_started = True
+
     def bot_start(self, **kwargs) -> None:
         """
         Parameters can also be defined here ...

tests/test_freqtradebot.py

@@ -3951,9 +3951,9 @@ def test_ignore_roi_if_entry_signal(default_conf_usdt, limit_order, limit_order_
 
     # Test if entry-signal is absent (should sell due to roi = true)
     if is_short:
-        patch_get_signal(freqtrade, enter_long=False, exit_short=False)
+        patch_get_signal(freqtrade, enter_long=False, exit_short=False, exit_tag='something')
     else:
-        patch_get_signal(freqtrade, enter_long=False, exit_long=False)
+        patch_get_signal(freqtrade, enter_long=False, exit_long=False, exit_tag='something')
     assert freqtrade.handle_trade(trade) is True
     assert trade.exit_reason == ExitType.ROI.value