Merge pull request #7976 from adarkforce/max-open-trades

Hyperopt Max open trades

docs/advanced-hyperopt.md

@@ -75,7 +75,7 @@ This function needs to return a floating point number (`float`). Smaller numbers
 
 ## Overriding pre-defined spaces
 
-To override a pre-defined space (`roi_space`, `generate_roi_table`, `stoploss_space`, `trailing_space`), define a nested class called Hyperopt and define the required spaces as follows:
+To override a pre-defined space (`roi_space`, `generate_roi_table`, `stoploss_space`, `trailing_space`, `max_open_trades_space`), define a nested class called Hyperopt and define the required spaces as follows:
 
 ```python
 from freqtrade.optimize.space import Categorical, Dimension, Integer, SKDecimal
@@ -123,6 +123,12 @@ class MyAwesomeStrategy(IStrategy):
 
                 Categorical([True, False], name='trailing_only_offset_is_reached'),
         ]
+
+        # Define a custom max_open_trades space
+        def max_open_trades_space(self) -> List[Dimension]:
+            return [
+                Integer(-1, 10, name='max_open_trades'),
+            ]
 ```
 
 !!! Note

docs/configuration.md

@@ -134,7 +134,7 @@ Mandatory parameters are marked as **Required**, which means that they are requi
 
 |  Parameter | Description |
 |------------|-------------|
-| `max_open_trades` | **Required.** Number of open trades your bot is allowed to have. Only one open trade per pair is possible, so the length of your pairlist is another limitation that can apply. If -1 then it is ignored (i.e. potentially unlimited open trades, limited by the pairlist). [More information below](#configuring-amount-per-trade).<br> **Datatype:** Positive integer or -1.
+| `max_open_trades` | **Required.** Number of open trades your bot is allowed to have. Only one open trade per pair is possible, so the length of your pairlist is another limitation that can apply. If -1 then it is ignored (i.e. potentially unlimited open trades, limited by the pairlist). [More information below](#configuring-amount-per-trade). [Strategy Override](#parameters-in-the-strategy).<br> **Datatype:** Positive integer or -1.
 | `stake_currency` | **Required.** Crypto-currency used for trading. <br> **Datatype:** String
 | `stake_amount` | **Required.** Amount of crypto-currency your bot will use for each trade. Set it to `"unlimited"` to allow the bot to use all available balance. [More information below](#configuring-amount-per-trade). <br> **Datatype:** Positive float or `"unlimited"`.
 | `tradable_balance_ratio` | Ratio of the total account balance the bot is allowed to trade. [More information below](#configuring-amount-per-trade). <br>*Defaults to `0.99` 99%).*<br> **Datatype:** Positive float between `0.1` and `1.0`.
@@ -263,6 +263,7 @@ Values set in the configuration file always overwrite values set in the strategy
 * `minimal_roi`
 * `timeframe`
 * `stoploss`
+* `max_open_trades`
 * `trailing_stop`
 * `trailing_stop_positive`
 * `trailing_stop_positive_offset`

docs/hyperopt.md

@@ -50,7 +50,7 @@ usage: freqtrade hyperopt [-h] [-v] [--logfile FILE] [-V] [-c PATH] [-d PATH]
                           [--eps] [--dmmp] [--enable-protections]
                           [--dry-run-wallet DRY_RUN_WALLET]
                           [--timeframe-detail TIMEFRAME_DETAIL] [-e INT]
-                          [--spaces {all,buy,sell,roi,stoploss,trailing,protection,default} [{all,buy,sell,roi,stoploss,trailing,protection,default} ...]]
+                          [--spaces {all,buy,sell,roi,stoploss,trailing,protection,trades,default} [{all,buy,sell,roi,stoploss,trailing,protection,trades,default} ...]]
                           [--print-all] [--no-color] [--print-json] [-j JOBS]
                           [--random-state INT] [--min-trades INT]
                           [--hyperopt-loss NAME] [--disable-param-export]
@@ -96,7 +96,7 @@ optional arguments:
                         Specify detail timeframe for backtesting (`1m`, `5m`,
                         `30m`, `1h`, `1d`).
   -e INT, --epochs INT  Specify number of epochs (default: 100).
-  --spaces {all,buy,sell,roi,stoploss,trailing,protection,default} [{all,buy,sell,roi,stoploss,trailing,protection,default} ...]
+  --spaces {all,buy,sell,roi,stoploss,trailing,protection,trades,default} [{all,buy,sell,roi,stoploss,trailing,protection,trades,default} ...]
                         Specify which parameters to hyperopt. Space-separated
                         list.
   --print-all           Print all results, not only the best ones.
@@ -180,6 +180,7 @@ Rarely you may also need to create a [nested class](advanced-hyperopt.md#overrid
 * `generate_roi_table` - for custom ROI optimization (if you need the ranges for the values in the ROI table that differ from default or the number of entries (steps) in the ROI table which differs from the default 4 steps)
 * `stoploss_space` - for custom stoploss optimization (if you need the range for the stoploss parameter in the optimization hyperspace that differs from default)
 * `trailing_space` - for custom trailing stop optimization (if you need the ranges for the trailing stop parameters in the optimization hyperspace that differ from default)
+* `max_open_trades_space` - for custom max_open_trades optimization (if you need the ranges for the max_open_trades parameter in the optimization hyperspace that differ from default)
 
 !!! Tip "Quickly optimize ROI, stoploss and trailing stoploss"
     You can quickly optimize the spaces `roi`, `stoploss` and `trailing` without changing anything in your strategy.
@@ -643,6 +644,7 @@ Legal values are:
 * `roi`: just optimize the minimal profit table for your strategy
 * `stoploss`: search for the best stoploss value
 * `trailing`: search for the best trailing stop values
+* `trades`: search for the best max open trades values
 * `protection`: search for the best protection parameters (read the [protections section](#optimizing-protections) on how to properly define these)
 * `default`: `all` except `trailing` and `protection`
 * space-separated list of any of the above values for example `--spaces roi stoploss`
@@ -916,5 +918,5 @@ Once the optimized strategy has been implemented into your strategy, you should
 To achieve same the results (number of trades, their durations, profit, etc.) as during Hyperopt, please use the same configuration and parameters (timerange, timeframe, ...) used for hyperopt `--dmmp`/`--disable-max-market-positions` and `--eps`/`--enable-position-stacking` for Backtesting.
 
 Should results not match, please double-check to make sure you transferred all conditions correctly.
-Pay special care to the stoploss (and trailing stoploss) parameters, as these are often set in configuration files, which override changes to the strategy.
+Pay special care to the stoploss, max_open_trades and trailing stoploss parameters, as these are often set in configuration files, which override changes to the strategy.
-You should also carefully review the log of your backtest to ensure that there were no parameters inadvertently set by the configuration (like `stoploss` or `trailing_stop`).
+You should also carefully review the log of your backtest to ensure that there were no parameters inadvertently set by the configuration (like `stoploss`, `max_open_trades` or `trailing_stop`).

freqtrade/commands/cli_options.py

@@ -251,7 +251,8 @@ AVAILABLE_CLI_OPTIONS = {
     "spaces": Arg(
         '--spaces',
         help='Specify which parameters to hyperopt. Space-separated list.',
-        choices=['all', 'buy', 'sell', 'roi', 'stoploss', 'trailing', 'protection', 'default'],
+        choices=['all', 'buy', 'sell', 'roi', 'stoploss',
+                 'trailing', 'protection', 'trades', 'default'],
         nargs='+',
         default='default',
     ),

freqtrade/constants.py

@@ -636,7 +636,6 @@ SCHEMA_TRADE_REQUIRED = [
 
 SCHEMA_BACKTEST_REQUIRED = [
     'exchange',
-    'max_open_trades',
     'stake_currency',
     'stake_amount',
     'dry_run_wallet',
@@ -646,6 +645,7 @@ SCHEMA_BACKTEST_REQUIRED = [
 SCHEMA_BACKTEST_REQUIRED_FINAL = SCHEMA_BACKTEST_REQUIRED + [
     'stoploss',
     'minimal_roi',
+    'max_open_trades'
 ]
 
 SCHEMA_MINIMAL_REQUIRED = [
@@ -681,3 +681,4 @@ MakerTaker = Literal['maker', 'taker']
 BidAsk = Literal['bid', 'ask']
 
 Config = Dict[str, Any]
+IntOrInf = float

freqtrade/data/btanalysis.py

@@ -10,7 +10,7 @@ from typing import Any, Dict, List, Optional, Union
 import numpy as np
 import pandas as pd
 
-from freqtrade.constants import LAST_BT_RESULT_FN
+from freqtrade.constants import LAST_BT_RESULT_FN, IntOrInf
 from freqtrade.exceptions import OperationalException
 from freqtrade.misc import json_load
 from freqtrade.optimize.backtest_caching import get_backtest_metadata_filename
@@ -332,7 +332,7 @@ def analyze_trade_parallelism(results: pd.DataFrame, timeframe: str) -> pd.DataF
 
 
 def evaluate_result_multi(results: pd.DataFrame, timeframe: str,
-                          max_open_trades: int) -> pd.DataFrame:
+                          max_open_trades: IntOrInf) -> pd.DataFrame:
     """
     Find overlapping trades by expanding each trade once per period it was open
     and then counting overlaps

freqtrade/optimize/backtesting.py

@@ -15,7 +15,7 @@ from pandas import DataFrame
 
 from freqtrade import constants
 from freqtrade.configuration import TimeRange, validate_config_consistency
-from freqtrade.constants import DATETIME_PRINT_FORMAT, Config, LongShort
+from freqtrade.constants import DATETIME_PRINT_FORMAT, Config, IntOrInf, LongShort
 from freqtrade.data import history
 from freqtrade.data.btanalysis import find_existing_backtest_stats, trade_list_to_dataframe
 from freqtrade.data.converter import trim_dataframe, trim_dataframes
@@ -922,8 +922,9 @@ class Backtesting:
                 trade.close(exit_row[OPEN_IDX], show_msg=False)
                 LocalTrade.close_bt_trade(trade)
 
-    def trade_slot_available(self, max_open_trades: int, open_trade_count: int) -> bool:
+    def trade_slot_available(self, open_trade_count: int) -> bool:
         # Always allow trades when max_open_trades is enabled.
+        max_open_trades: IntOrInf = self.config['max_open_trades']
         if max_open_trades <= 0 or open_trade_count < max_open_trades:
             return True
         # Rejected trade
@@ -1053,7 +1054,7 @@ class Backtesting:
 
     def backtest_loop(
             self, row: Tuple, pair: str, current_time: datetime, end_date: datetime,
-            max_open_trades: int, open_trade_count_start: int, trade_dir: Optional[LongShort],
+            open_trade_count_start: int, trade_dir: Optional[LongShort],
             is_first: bool = True) -> int:
         """
         NOTE: This method is used by Hyperopt at each iteration. Please keep it optimized.
@@ -1076,7 +1077,7 @@ class Backtesting:
         if (
             (self._position_stacking or len(LocalTrade.bt_trades_open_pp[pair]) == 0)
             and is_first
-            and self.trade_slot_available(max_open_trades, open_trade_count_start)
+            and self.trade_slot_available(open_trade_count_start)
             and current_time != end_date
             and trade_dir is not None
             and not PairLocks.is_pair_locked(pair, row[DATE_IDX], trade_dir)
@@ -1123,8 +1124,7 @@ class Backtesting:
         return open_trade_count_start
 
     def backtest(self, processed: Dict,
-                 start_date: datetime, end_date: datetime,
+                 start_date: datetime, end_date: datetime) -> Dict[str, Any]:
-                 max_open_trades: int = 0) -> Dict[str, Any]:
         """
         Implement backtesting functionality
 
@@ -1136,7 +1136,6 @@ class Backtesting:
         optimize memory usage!
         :param start_date: backtesting timerange start datetime
         :param end_date: backtesting timerange end datetime
-        :param max_open_trades: maximum number of concurrent trades, <= 0 means unlimited
         :return: DataFrame with trades (results of backtesting)
         """
         self.prepare_backtest(self.enable_protections)
@@ -1185,7 +1184,7 @@ class Backtesting:
                     if len(detail_data) == 0:
                         # Fall back to "regular" data if no detail data was found for this candle
                         open_trade_count_start = self.backtest_loop(
-                            row, pair, current_time, end_date, max_open_trades,
+                            row, pair, current_time, end_date,
                             open_trade_count_start, trade_dir)
                         continue
                     detail_data.loc[:, 'enter_long'] = row[LONG_IDX]
@@ -1198,13 +1197,13 @@ class Backtesting:
                     current_time_det = current_time
                     for det_row in detail_data[HEADERS].values.tolist():
                         open_trade_count_start = self.backtest_loop(
-                            det_row, pair, current_time_det, end_date, max_open_trades,
+                            det_row, pair, current_time_det, end_date,
                             open_trade_count_start, trade_dir, is_first)
                         current_time_det += timedelta(minutes=self.timeframe_detail_min)
                         is_first = False
                 else:
                     open_trade_count_start = self.backtest_loop(
-                        row, pair, current_time, end_date, max_open_trades,
+                        row, pair, current_time, end_date,
                         open_trade_count_start, trade_dir)
 
             # Move time one configured time_interval ahead.
@@ -1237,13 +1236,11 @@ class Backtesting:
         self._set_strategy(strat)
 
         # Use max_open_trades in backtesting, except --disable-max-market-positions is set
-        if self.config.get('use_max_market_positions', True):
+        if not self.config.get('use_max_market_positions', True):
-            # Must come from strategy config, as the strategy may modify this setting.
-            max_open_trades = self.strategy.config['max_open_trades']
-        else:
             logger.info(
                 'Ignoring max_open_trades (--disable-max-market-positions was used) ...')
-            max_open_trades = 0
+            self.strategy.max_open_trades = float('inf')
+            self.config.update({'max_open_trades': self.strategy.max_open_trades})
 
         # need to reprocess data every time to populate signals
         preprocessed = self.strategy.advise_all_indicators(data)
@@ -1266,7 +1263,6 @@ class Backtesting:
             processed=preprocessed,
             start_date=min_date,
             end_date=max_date,
-            max_open_trades=max_open_trades,
         )
         backtest_end_time = datetime.now(timezone.utc)
         results.update({

freqtrade/optimize/hyperopt.py

@@ -74,6 +74,7 @@ class Hyperopt:
         self.roi_space: List[Dimension] = []
         self.stoploss_space: List[Dimension] = []
         self.trailing_space: List[Dimension] = []
+        self.max_open_trades_space: List[Dimension] = []
         self.dimensions: List[Dimension] = []
 
         self.config = config
@@ -117,11 +118,10 @@ class Hyperopt:
         self.current_best_epoch: Optional[Dict[str, Any]] = None
 
         # Use max_open_trades for hyperopt as well, except --disable-max-market-positions is set
-        if self.config.get('use_max_market_positions', True):
+        if not self.config.get('use_max_market_positions', True):
-            self.max_open_trades = self.config['max_open_trades']
-        else:
             logger.debug('Ignoring max_open_trades (--disable-max-market-positions was used) ...')
-            self.max_open_trades = 0
+            self.backtesting.strategy.max_open_trades = float('inf')
+            config.update({'max_open_trades': self.backtesting.strategy.max_open_trades})
 
         if HyperoptTools.has_space(self.config, 'sell'):
             # Make sure use_exit_signal is enabled
@@ -209,6 +209,10 @@ class Hyperopt:
             result['stoploss'] = {p.name: params.get(p.name) for p in self.stoploss_space}
         if HyperoptTools.has_space(self.config, 'trailing'):
             result['trailing'] = self.custom_hyperopt.generate_trailing_params(params)
+        if HyperoptTools.has_space(self.config, 'trades'):
+            result['max_open_trades'] = {
+                'max_open_trades': self.backtesting.strategy.max_open_trades
+                if self.backtesting.strategy.max_open_trades != float('inf') else -1}
 
         return result
 
@@ -229,6 +233,8 @@ class Hyperopt:
                 'trailing_stop_positive_offset': strategy.trailing_stop_positive_offset,
                 'trailing_only_offset_is_reached': strategy.trailing_only_offset_is_reached,
             }
+        if not HyperoptTools.has_space(self.config, 'trades'):
+            result['max_open_trades'] = {'max_open_trades': strategy.max_open_trades}
         return result
 
     def print_results(self, results) -> None:
@@ -280,8 +286,13 @@ class Hyperopt:
             logger.debug("Hyperopt has 'trailing' space")
             self.trailing_space = self.custom_hyperopt.trailing_space()
 
+        if HyperoptTools.has_space(self.config, 'trades'):
+            logger.debug("Hyperopt has 'trades' space")
+            self.max_open_trades_space = self.custom_hyperopt.max_open_trades_space()
+
         self.dimensions = (self.buy_space + self.sell_space + self.protection_space
-                           + self.roi_space + self.stoploss_space + self.trailing_space)
+                           + self.roi_space + self.stoploss_space + self.trailing_space
+                           + self.max_open_trades_space)
 
     def assign_params(self, params_dict: Dict, category: str) -> None:
         """
@@ -328,6 +339,20 @@ class Hyperopt:
             self.backtesting.strategy.trailing_only_offset_is_reached = \
                 d['trailing_only_offset_is_reached']
 
+        if HyperoptTools.has_space(self.config, 'trades'):
+            if self.config["stake_amount"] == "unlimited" and \
+                    (params_dict['max_open_trades'] == -1 or params_dict['max_open_trades'] == 0):
+                # Ignore unlimited max open trades if stake amount is unlimited
+                params_dict.update({'max_open_trades': self.config['max_open_trades']})
+
+            updated_max_open_trades = int(params_dict['max_open_trades']) \
+                if (params_dict['max_open_trades'] != -1
+                    and params_dict['max_open_trades'] != 0) else float('inf')
+
+            self.config.update({'max_open_trades': updated_max_open_trades})
+
+            self.backtesting.strategy.max_open_trades = updated_max_open_trades
+
         with self.data_pickle_file.open('rb') as f:
             processed = load(f, mmap_mode='r')
             if self.analyze_per_epoch:
@@ -337,8 +362,7 @@ class Hyperopt:
         bt_results = self.backtesting.backtest(
             processed=processed,
             start_date=self.min_date,
-            end_date=self.max_date,
+            end_date=self.max_date
-            max_open_trades=self.max_open_trades,
         )
         backtest_end_time = datetime.now(timezone.utc)
         bt_results.update({

freqtrade/optimize/hyperopt_auto.py

@@ -91,5 +91,8 @@ class HyperOptAuto(IHyperOpt):
     def trailing_space(self) -> List['Dimension']:
         return self._get_func('trailing_space')()
 
+    def max_open_trades_space(self) -> List['Dimension']:
+        return self._get_func('max_open_trades_space')()
+
     def generate_estimator(self, dimensions: List['Dimension'], **kwargs) -> EstimatorType:
         return self._get_func('generate_estimator')(dimensions=dimensions, **kwargs)

freqtrade/optimize/hyperopt_interface.py

@@ -191,6 +191,16 @@ class IHyperOpt(ABC):
             Categorical([True, False], name='trailing_only_offset_is_reached'),
         ]
 
+    def max_open_trades_space(self) -> List[Dimension]:
+        """
+        Create a max open trades space.
+
+        You may override it in your custom Hyperopt class.
+        """
+        return [
+            Integer(-1, 10, name='max_open_trades'),
+        ]
+
     # This is needed for proper unpickling the class attribute timeframe
     # which is set to the actual value by the resolver.
     # Why do I still need such shamanic mantras in modern python?

freqtrade/optimize/hyperopt_tools.py

@@ -96,7 +96,7 @@ class HyperoptTools():
         Tell if the space value is contained in the configuration
         """
         # 'trailing' and 'protection spaces are not included in the 'default' set of spaces
-        if space in ('trailing', 'protection'):
+        if space in ('trailing', 'protection', 'trades'):
             return any(s in config['spaces'] for s in [space, 'all'])
         else:
             return any(s in config['spaces'] for s in [space, 'all', 'default'])
@@ -187,7 +187,8 @@ class HyperoptTools():
 
         if print_json:
             result_dict: Dict = {}
-            for s in ['buy', 'sell', 'protection', 'roi', 'stoploss', 'trailing']:
+            for s in ['buy', 'sell', 'protection',
+                      'roi', 'stoploss', 'trailing', 'max_open_trades']:
                 HyperoptTools._params_update_for_json(result_dict, params, non_optimized, s)
             print(rapidjson.dumps(result_dict, default=str, number_mode=rapidjson.NM_NATIVE))
 
@@ -201,6 +202,8 @@ class HyperoptTools():
             HyperoptTools._params_pretty_print(params, 'roi', "ROI table:", non_optimized)
             HyperoptTools._params_pretty_print(params, 'stoploss', "Stoploss:", non_optimized)
             HyperoptTools._params_pretty_print(params, 'trailing', "Trailing stop:", non_optimized)
+            HyperoptTools._params_pretty_print(
+                params, 'max_open_trades', "Max Open Trades:", non_optimized)
 
     @staticmethod
     def _params_update_for_json(result_dict, params, non_optimized, space: str) -> None:
@@ -239,7 +242,9 @@ class HyperoptTools():
             if space == "stoploss":
                 stoploss = safe_value_fallback2(space_params, no_params, space, space)
                 result += (f"stoploss = {stoploss}{appendix}")
-
+            elif space == "max_open_trades":
+                max_open_trades = safe_value_fallback2(space_params, no_params, space, space)
+                result += (f"max_open_trades = {max_open_trades}{appendix}")
             elif space == "roi":
                 result = result[:-1] + f'{appendix}\n'
                 minimal_roi_result = rapidjson.dumps({

freqtrade/optimize/optimize_reports.py

@@ -8,7 +8,7 @@ from pandas import DataFrame, to_datetime
 from tabulate import tabulate
 
 from freqtrade.constants import (DATETIME_PRINT_FORMAT, LAST_BT_RESULT_FN, UNLIMITED_STAKE_AMOUNT,
-                                 Config)
+                                 Config, IntOrInf)
 from freqtrade.data.metrics import (calculate_cagr, calculate_calmar, calculate_csum,
                                     calculate_expectancy, calculate_market_change,
                                     calculate_max_drawdown, calculate_sharpe, calculate_sortino)
@@ -191,7 +191,7 @@ def generate_tag_metrics(tag_type: str,
         return []
 
 
-def generate_exit_reason_stats(max_open_trades: int, results: DataFrame) -> List[Dict]:
+def generate_exit_reason_stats(max_open_trades: IntOrInf, results: DataFrame) -> List[Dict]:
     """
     Generate small table outlining Backtest results
     :param max_open_trades: Max_open_trades parameter

freqtrade/resolvers/strategy_resolver.py

@@ -76,6 +76,7 @@ class StrategyResolver(IResolver):
                       ("ignore_buying_expired_candle_after",  0),
                       ("position_adjustment_enable",      False),
                       ("max_entry_position_adjustment",      -1),
+                      ("max_open_trades",                    -1)
                       ]
         for attribute, default in attributes:
             StrategyResolver._override_attribute_helper(strategy, config,
@@ -110,7 +111,11 @@ class StrategyResolver(IResolver):
             val = getattr(strategy, attribute)
             # None's cannot exist in the config, so do not copy them
             if val is not None:
-                config[attribute] = val
+                # max_open_trades set to -1 in the strategy will be copied as infinity in the config
+                if attribute == 'max_open_trades' and val == -1:
+                    config[attribute] = float('inf')
+                else:
+                    config[attribute] = val
         # Explicitly check for None here as other "falsy" values are possible
         elif default is not None:
             setattr(strategy, attribute, default)
@@ -128,6 +133,8 @@ class StrategyResolver(IResolver):
                 key=lambda t: t[0]))
         if hasattr(strategy, 'stoploss'):
             strategy.stoploss = float(strategy.stoploss)
+        if hasattr(strategy, 'max_open_trades') and strategy.max_open_trades < 0:
+            strategy.max_open_trades = float('inf')
         return strategy
 
     @staticmethod

freqtrade/rpc/api_server/api_schemas.py

@@ -3,7 +3,7 @@ from typing import Any, Dict, List, Optional, Union
 
 from pydantic import BaseModel
 
-from freqtrade.constants import DATETIME_PRINT_FORMAT
+from freqtrade.constants import DATETIME_PRINT_FORMAT, IntOrInf
 from freqtrade.enums import OrderTypeValues, SignalDirection, TradingMode
 
 
@@ -165,7 +165,7 @@ class ShowConfig(BaseModel):
     stake_amount: str
     available_capital: Optional[float]
     stake_currency_decimals: int
-    max_open_trades: int
+    max_open_trades: IntOrInf
     minimal_roi: Dict[str, Any]
     stoploss: Optional[float]
     trailing_stop: Optional[bool]
@@ -422,7 +422,7 @@ class BacktestRequest(BaseModel):
     timeframe: Optional[str]
     timeframe_detail: Optional[str]
     timerange: Optional[str]
-    max_open_trades: Optional[int]
+    max_open_trades: Optional[IntOrInf]
     stake_amount: Optional[str]
     enable_protections: bool
     dry_run_wallet: Optional[float]

freqtrade/rpc/rpc.py

@@ -673,6 +673,7 @@ class RPC:
         if self._freqtrade.state == State.RUNNING:
             # Set 'max_open_trades' to 0
             self._freqtrade.config['max_open_trades'] = 0
+            self._freqtrade.strategy.max_open_trades = 0
 
         return {'status': 'No more entries will occur from now. Run /reload_config to reset.'}
 

freqtrade/strategy/hyper.py

@@ -80,6 +80,8 @@ class HyperStrategyMixin:
 
             self.stoploss = params.get('stoploss', {}).get(
                 'stoploss', getattr(self, 'stoploss', -0.1))
+            self.max_open_trades = params.get('max_open_trades', {}).get(
+                'max_open_trades', getattr(self, 'max_open_trades', -1))
             trailing = params.get('trailing', {})
             self.trailing_stop = trailing.get(
                 'trailing_stop', getattr(self, 'trailing_stop', False))

freqtrade/strategy/interface.py

@@ -10,7 +10,7 @@ from typing import Dict, List, Optional, Tuple, Union
 import arrow
 from pandas import DataFrame
 
-from freqtrade.constants import Config, ListPairsWithTimeframes
+from freqtrade.constants import Config, IntOrInf, ListPairsWithTimeframes
 from freqtrade.data.dataprovider import DataProvider
 from freqtrade.enums import (CandleType, ExitCheckTuple, ExitType, RunMode, SignalDirection,
                              SignalTagType, SignalType, TradingMode)
@@ -54,6 +54,9 @@ class IStrategy(ABC, HyperStrategyMixin):
     # associated stoploss
     stoploss: float
 
+    # max open trades for the strategy
+    max_open_trades:  IntOrInf
+
     # trailing stoploss
     trailing_stop: bool = False
     trailing_stop_positive: Optional[float] = None

tests/optimize/test_backtest_detail.py

@@ -919,6 +919,7 @@ def test_backtest_results(default_conf, fee, mocker, caplog, data: BTContainer)
         default_conf["trailing_stop_positive"] = data.trailing_stop_positive
     default_conf["trailing_stop_positive_offset"] = data.trailing_stop_positive_offset
     default_conf["use_exit_signal"] = data.use_exit_signal
+    default_conf["max_open_trades"] = 10
 
     mocker.patch("freqtrade.exchange.Exchange.get_fee", return_value=0.0)
     mocker.patch("freqtrade.exchange.Exchange.get_min_pair_stake_amount", return_value=0.00001)
@@ -951,7 +952,6 @@ def test_backtest_results(default_conf, fee, mocker, caplog, data: BTContainer)
         processed=data_processed,
         start_date=min_date,
         end_date=max_date,
-        max_open_trades=10,
     )
 
     results = result['results']

tests/optimize/test_backtesting.py

@@ -96,7 +96,6 @@ def _make_backtest_conf(mocker, datadir, conf=None, pair='UNITTEST/BTC'):
         'processed': processed,
         'start_date': min_date,
         'end_date': max_date,
-        'max_open_trades': 10,
     }
 
 
@@ -685,6 +684,8 @@ def test_backtest__get_sell_trade_entry(default_conf, fee, mocker) -> None:
 
 def test_backtest_one(default_conf, fee, mocker, testdatadir) -> None:
     default_conf['use_exit_signal'] = False
+    default_conf['max_open_trades'] = 10
+
     mocker.patch('freqtrade.exchange.Exchange.get_fee', fee)
     mocker.patch("freqtrade.exchange.Exchange.get_min_pair_stake_amount", return_value=0.00001)
     mocker.patch("freqtrade.exchange.Exchange.get_max_pair_stake_amount", return_value=float('inf'))
@@ -702,7 +703,6 @@ def test_backtest_one(default_conf, fee, mocker, testdatadir) -> None:
         processed=deepcopy(processed),
         start_date=min_date,
         end_date=max_date,
-        max_open_trades=10,
     )
     results = result['results']
     assert not results.empty
@@ -786,6 +786,8 @@ def test_backtest_one_detail(default_conf_usdt, fee, mocker, testdatadir, use_de
     def custom_entry_price(proposed_rate, **kwargs):
         return proposed_rate * 0.997
 
+    default_conf_usdt['max_open_trades'] = 10
+
     backtesting = Backtesting(default_conf_usdt)
     backtesting._set_strategy(backtesting.strategylist[0])
     backtesting.strategy.populate_entry_trend = advise_entry
@@ -806,7 +808,6 @@ def test_backtest_one_detail(default_conf_usdt, fee, mocker, testdatadir, use_de
         processed=deepcopy(processed),
         start_date=min_date,
         end_date=max_date,
-        max_open_trades=10,
     )
     results = result['results']
     assert not results.empty
@@ -860,6 +861,7 @@ def test_backtest_timedout_entry_orders(default_conf, fee, mocker, testdatadir)
     mocker.patch("freqtrade.exchange.Exchange.get_min_pair_stake_amount", return_value=0.00001)
     mocker.patch("freqtrade.exchange.Exchange.get_max_pair_stake_amount", return_value=float('inf'))
     patch_exchange(mocker)
+    default_conf['max_open_trades'] = 1
     backtesting = Backtesting(default_conf)
     backtesting._set_strategy(backtesting.strategylist[0])
     # Testing dataframe contains 11 candles. Expecting 10 timed out orders.
@@ -872,7 +874,6 @@ def test_backtest_timedout_entry_orders(default_conf, fee, mocker, testdatadir)
         processed=deepcopy(data),
         start_date=min_date,
         end_date=max_date,
-        max_open_trades=1,
     )
 
     assert result['timedout_entry_orders'] == 10
@@ -880,6 +881,7 @@ def test_backtest_timedout_entry_orders(default_conf, fee, mocker, testdatadir)
 
 def test_backtest_1min_timeframe(default_conf, fee, mocker, testdatadir) -> None:
     default_conf['use_exit_signal'] = False
+    default_conf['max_open_trades'] = 1
     mocker.patch('freqtrade.exchange.Exchange.get_fee', fee)
     mocker.patch("freqtrade.exchange.Exchange.get_min_pair_stake_amount", return_value=0.00001)
     mocker.patch("freqtrade.exchange.Exchange.get_max_pair_stake_amount", return_value=float('inf'))
@@ -897,7 +899,6 @@ def test_backtest_1min_timeframe(default_conf, fee, mocker, testdatadir) -> None
         processed=processed,
         start_date=min_date,
         end_date=max_date,
-        max_open_trades=1,
     )
     assert not results['results'].empty
     assert len(results['results']) == 1
@@ -905,6 +906,8 @@ def test_backtest_1min_timeframe(default_conf, fee, mocker, testdatadir) -> None
 
 def test_backtest_trim_no_data_left(default_conf, fee, mocker, testdatadir) -> None:
     default_conf['use_exit_signal'] = False
+    default_conf['max_open_trades'] = 10
+
     mocker.patch('freqtrade.exchange.Exchange.get_fee', fee)
     mocker.patch("freqtrade.exchange.Exchange.get_min_pair_stake_amount", return_value=0.00001)
     mocker.patch("freqtrade.exchange.Exchange.get_max_pair_stake_amount", return_value=float('inf'))
@@ -928,7 +931,6 @@ def test_backtest_trim_no_data_left(default_conf, fee, mocker, testdatadir) -> N
         processed=deepcopy(processed),
         start_date=min_date,
         end_date=max_date,
-        max_open_trades=10,
     )
 
 
@@ -949,6 +951,7 @@ def test_processed(default_conf, mocker, testdatadir) -> None:
 
 def test_backtest_dataprovider_analyzed_df(default_conf, fee, mocker, testdatadir) -> None:
     default_conf['use_exit_signal'] = False
+    default_conf['max_open_trades'] = 10
     mocker.patch('freqtrade.exchange.Exchange.get_fee', fee)
     mocker.patch("freqtrade.exchange.Exchange.get_min_pair_stake_amount", return_value=0.00001)
     mocker.patch("freqtrade.exchange.Exchange.get_max_pair_stake_amount", return_value=100000)
@@ -982,7 +985,6 @@ def test_backtest_dataprovider_analyzed_df(default_conf, fee, mocker, testdatadi
         processed=deepcopy(processed),
         start_date=min_date,
         end_date=max_date,
-        max_open_trades=10,
     )
     assert count == 5
 
@@ -999,6 +1001,7 @@ def test_backtest_pricecontours_protections(default_conf, fee, mocker, testdatad
 
     default_conf['enable_protections'] = True
     default_conf['timeframe'] = '1m'
+    default_conf['max_open_trades'] = 1
     mocker.patch('freqtrade.exchange.Exchange.get_fee', fee)
     mocker.patch("freqtrade.exchange.Exchange.get_min_pair_stake_amount", return_value=0.00001)
     mocker.patch("freqtrade.exchange.Exchange.get_max_pair_stake_amount", return_value=float('inf'))
@@ -1025,7 +1028,6 @@ def test_backtest_pricecontours_protections(default_conf, fee, mocker, testdatad
             processed=processed,
             start_date=min_date,
             end_date=max_date,
-            max_open_trades=1,
         )
         assert len(results['results']) == numres
 
@@ -1063,11 +1065,12 @@ def test_backtest_pricecontours(default_conf, fee, mocker, testdatadir,
     processed = backtesting.strategy.advise_all_indicators(data)
     min_date, max_date = get_timerange(processed)
     assert isinstance(processed, dict)
+    backtesting.strategy.max_open_trades = 1
+    backtesting.config.update({'max_open_trades': 1})
     results = backtesting.backtest(
         processed=processed,
         start_date=min_date,
         end_date=max_date,
-        max_open_trades=1,
     )
     assert len(results['results']) == expected
 
@@ -1078,7 +1081,7 @@ def test_backtest_clash_buy_sell(mocker, default_conf, testdatadir):
         buy_value = 1
         sell_value = 1
         return _trend(dataframe, buy_value, sell_value)
-
+    default_conf['max_open_trades'] = 10
     backtest_conf = _make_backtest_conf(mocker, conf=default_conf, datadir=testdatadir)
     backtesting = Backtesting(default_conf)
     backtesting._set_strategy(backtesting.strategylist[0])
@@ -1095,6 +1098,7 @@ def test_backtest_only_sell(mocker, default_conf, testdatadir):
         sell_value = 1
         return _trend(dataframe, buy_value, sell_value)
 
+    default_conf['max_open_trades'] = 10
     backtest_conf = _make_backtest_conf(mocker, conf=default_conf, datadir=testdatadir)
     backtesting = Backtesting(default_conf)
     backtesting._set_strategy(backtesting.strategylist[0])
@@ -1108,6 +1112,7 @@ def test_backtest_alternate_buy_sell(default_conf, fee, mocker, testdatadir):
     mocker.patch("freqtrade.exchange.Exchange.get_min_pair_stake_amount", return_value=0.00001)
     mocker.patch("freqtrade.exchange.Exchange.get_max_pair_stake_amount", return_value=float('inf'))
     mocker.patch('freqtrade.exchange.Exchange.get_fee', fee)
+    default_conf['max_open_trades'] = 10
     backtest_conf = _make_backtest_conf(mocker, conf=default_conf,
                                         pair='UNITTEST/BTC', datadir=testdatadir)
     default_conf['timeframe'] = '1m'
@@ -1166,6 +1171,7 @@ def test_backtest_multi_pair(default_conf, fee, mocker, tres, pair, testdatadir)
     if tres > 0:
         data[pair] = data[pair][tres:].reset_index()
     default_conf['timeframe'] = '5m'
+    default_conf['max_open_trades'] = 3
 
     backtesting = Backtesting(default_conf)
     backtesting._set_strategy(backtesting.strategylist[0])
@@ -1174,11 +1180,11 @@ def test_backtest_multi_pair(default_conf, fee, mocker, tres, pair, testdatadir)
 
     processed = backtesting.strategy.advise_all_indicators(data)
     min_date, max_date = get_timerange(processed)
+
     backtest_conf = {
         'processed': deepcopy(processed),
         'start_date': min_date,
         'end_date': max_date,
-        'max_open_trades': 3,
     }
 
     results = backtesting.backtest(**backtest_conf)
@@ -1196,11 +1202,12 @@ def test_backtest_multi_pair(default_conf, fee, mocker, tres, pair, testdatadir)
         backtesting.dataprovider.get_analyzed_dataframe('NXT/BTC', '5m')[0]
     ) == len(data['NXT/BTC']) - 1 - backtesting.strategy.startup_candle_count
 
+    backtesting.strategy.max_open_trades = 1
+    backtesting.config.update({'max_open_trades': 1})
     backtest_conf = {
         'processed': deepcopy(processed),
         'start_date': min_date,
         'end_date': max_date,
-        'max_open_trades': 1,
     }
     results = backtesting.backtest(**backtest_conf)
     assert len(evaluate_result_multi(results['results'], '5m', 1)) == 0

tests/optimize/test_backtesting_adjust_position.py

@@ -17,6 +17,7 @@ from tests.conftest import patch_exchange
 
 def test_backtest_position_adjustment(default_conf, fee, mocker, testdatadir) -> None:
     default_conf['use_exit_signal'] = False
+    default_conf['max_open_trades'] = 10
     mocker.patch('freqtrade.exchange.Exchange.get_fee', fee)
     mocker.patch('freqtrade.optimize.backtesting.amount_to_contract_precision',
                  lambda x, *args, **kwargs: round(x, 8))
@@ -41,7 +42,6 @@ def test_backtest_position_adjustment(default_conf, fee, mocker, testdatadir) ->
         processed=deepcopy(processed),
         start_date=min_date,
         end_date=max_date,
-        max_open_trades=10,
     )
     results = result['results']
     assert not results.empty

tests/optimize/test_hyperopt.py

@@ -1,5 +1,6 @@
 # pragma pylint: disable=missing-docstring,W0212,C0103
 from datetime import datetime, timedelta
+from functools import wraps
 from pathlib import Path
 from unittest.mock import ANY, MagicMock, PropertyMock
 
@@ -7,6 +8,7 @@ import pandas as pd
 import pytest
 from arrow import Arrow
 from filelock import Timeout
+from skopt.space import Integer
 
 from freqtrade.commands.optimize_commands import setup_optimize_configuration, start_hyperopt
 from freqtrade.data.history import load_data
@@ -292,6 +294,8 @@ def test_params_no_optimize_details(hyperopt) -> None:
     assert res['roi']['0'] == 0.04
     assert "stoploss" in res
     assert res['stoploss']['stoploss'] == -0.1
+    assert "max_open_trades" in res
+    assert res['max_open_trades']['max_open_trades'] == 1
 
 
 def test_start_calls_optimizer(mocker, hyperopt_conf, capsys) -> None:
@@ -334,8 +338,7 @@ def test_start_calls_optimizer(mocker, hyperopt_conf, capsys) -> None:
     assert dumper2.call_count == 1
     assert hasattr(hyperopt.backtesting.strategy, "advise_exit")
     assert hasattr(hyperopt.backtesting.strategy, "advise_entry")
-    assert hasattr(hyperopt, "max_open_trades")
+    assert hyperopt.backtesting.strategy.max_open_trades == hyperopt_conf['max_open_trades']
-    assert hyperopt.max_open_trades == hyperopt_conf['max_open_trades']
     assert hasattr(hyperopt.backtesting, "_position_stacking")
 
 
@@ -474,6 +477,7 @@ def test_generate_optimizer(mocker, hyperopt_conf) -> None:
         'trailing_stop_positive': 0.02,
         'trailing_stop_positive_offset_p1': 0.05,
         'trailing_only_offset_is_reached': False,
+        'max_open_trades': 3,
     }
     response_expected = {
         'loss': 1.9147239021396234,
@@ -499,7 +503,9 @@ def test_generate_optimizer(mocker, hyperopt_conf) -> None:
                            'trailing': {'trailing_only_offset_is_reached': False,
                                         'trailing_stop': True,
                                         'trailing_stop_positive': 0.02,
-                                        'trailing_stop_positive_offset': 0.07}},
+                                        'trailing_stop_positive_offset': 0.07},
+                           'max_open_trades': {'max_open_trades': 3}
+                           },
         'params_dict': optimizer_param,
         'params_not_optimized': {'buy': {}, 'protection': {}, 'sell': {}},
         'results_metrics': ANY,
@@ -548,7 +554,8 @@ def test_print_json_spaces_all(mocker, hyperopt_conf, capsys) -> None:
                 'buy': {'mfi-value': None},
                 'sell': {'sell-mfi-value': None},
                 'roi': {}, 'stoploss': {'stoploss': None},
-                'trailing': {'trailing_stop': None}
+                'trailing': {'trailing_stop': None},
+                'max_open_trades': {'max_open_trades': None}
             },
             'results_metrics': generate_result_metrics(),
         }])
@@ -571,7 +578,7 @@ def test_print_json_spaces_all(mocker, hyperopt_conf, capsys) -> None:
     out, err = capsys.readouterr()
     result_str = (
         '{"params":{"mfi-value":null,"sell-mfi-value":null},"minimal_roi"'
-        ':{},"stoploss":null,"trailing_stop":null}'
+        ':{},"stoploss":null,"trailing_stop":null,"max_open_trades":null}'
     )
     assert result_str in out  # noqa: E501
     # Should be called for historical candle data
@@ -702,8 +709,7 @@ def test_simplified_interface_roi_stoploss(mocker, hyperopt_conf, capsys) -> Non
 
     assert hasattr(hyperopt.backtesting.strategy, "advise_exit")
     assert hasattr(hyperopt.backtesting.strategy, "advise_entry")
-    assert hasattr(hyperopt, "max_open_trades")
+    assert hyperopt.backtesting.strategy.max_open_trades == hyperopt_conf['max_open_trades']
-    assert hyperopt.max_open_trades == hyperopt_conf['max_open_trades']
     assert hasattr(hyperopt.backtesting, "_position_stacking")
 
 
@@ -776,8 +782,7 @@ def test_simplified_interface_buy(mocker, hyperopt_conf, capsys) -> None:
     assert dumper2.call_count == 1
     assert hasattr(hyperopt.backtesting.strategy, "advise_exit")
     assert hasattr(hyperopt.backtesting.strategy, "advise_entry")
-    assert hasattr(hyperopt, "max_open_trades")
+    assert hyperopt.backtesting.strategy.max_open_trades == hyperopt_conf['max_open_trades']
-    assert hyperopt.max_open_trades == hyperopt_conf['max_open_trades']
     assert hasattr(hyperopt.backtesting, "_position_stacking")
 
 
@@ -819,8 +824,7 @@ def test_simplified_interface_sell(mocker, hyperopt_conf, capsys) -> None:
     assert dumper2.call_count == 1
     assert hasattr(hyperopt.backtesting.strategy, "advise_exit")
     assert hasattr(hyperopt.backtesting.strategy, "advise_entry")
-    assert hasattr(hyperopt, "max_open_trades")
+    assert hyperopt.backtesting.strategy.max_open_trades == hyperopt_conf['max_open_trades']
-    assert hyperopt.max_open_trades == hyperopt_conf['max_open_trades']
     assert hasattr(hyperopt.backtesting, "_position_stacking")
 
 
@@ -874,6 +878,7 @@ def test_in_strategy_auto_hyperopt(mocker, hyperopt_conf, tmpdir, fee) -> None:
     assert hyperopt.backtesting.strategy.buy_rsi.value == 35
     assert hyperopt.backtesting.strategy.sell_rsi.value == 74
     assert hyperopt.backtesting.strategy.protection_cooldown_lookback.value == 30
+    assert hyperopt.backtesting.strategy.max_open_trades == 1
     buy_rsi_range = hyperopt.backtesting.strategy.buy_rsi.range
     assert isinstance(buy_rsi_range, range)
     # Range from 0 - 50 (inclusive)
@@ -884,6 +889,7 @@ def test_in_strategy_auto_hyperopt(mocker, hyperopt_conf, tmpdir, fee) -> None:
     assert hyperopt.backtesting.strategy.protection_cooldown_lookback.value != 30
     assert hyperopt.backtesting.strategy.buy_rsi.value != 35
     assert hyperopt.backtesting.strategy.sell_rsi.value != 74
+    assert hyperopt.backtesting.strategy.max_open_trades != 1
 
     hyperopt.custom_hyperopt.generate_estimator = lambda *args, **kwargs: 'ET1'
     with pytest.raises(OperationalException, match="Estimator ET1 not supported."):
@@ -984,3 +990,124 @@ def test_SKDecimal():
     assert space.transform([2.0]) == [200]
     assert space.transform([1.0]) == [100]
     assert space.transform([1.5, 1.6]) == [150, 160]
+
+
+def test_stake_amount_unlimited_max_open_trades(mocker, hyperopt_conf, tmpdir, fee) -> None:
+    # This test is to ensure that unlimited max_open_trades are ignored for the backtesting
+    # if we have an unlimited stake amount
+    patch_exchange(mocker)
+    mocker.patch('freqtrade.exchange.Exchange.get_fee', fee)
+    (Path(tmpdir) / 'hyperopt_results').mkdir(parents=True)
+    hyperopt_conf.update({
+        'strategy': 'HyperoptableStrategy',
+        'user_data_dir': Path(tmpdir),
+        'hyperopt_random_state': 42,
+        'spaces': ['trades'],
+        'stake_amount': 'unlimited'
+    })
+    hyperopt = Hyperopt(hyperopt_conf)
+    mocker.patch('freqtrade.optimize.hyperopt.Hyperopt._get_params_dict',
+                 return_value={
+                     'max_open_trades': -1
+                     })
+
+    assert isinstance(hyperopt.custom_hyperopt, HyperOptAuto)
+
+    assert hyperopt.backtesting.strategy.max_open_trades == 1
+
+    hyperopt.start()
+
+    assert hyperopt.backtesting.strategy.max_open_trades == 1
+
+
+def test_max_open_trades_dump(mocker, hyperopt_conf, tmpdir, fee, capsys) -> None:
+    # This test is to ensure that after hyperopting, max_open_trades is never
+    # saved as inf in the output json params
+    patch_exchange(mocker)
+    mocker.patch('freqtrade.exchange.Exchange.get_fee', fee)
+    (Path(tmpdir) / 'hyperopt_results').mkdir(parents=True)
+    hyperopt_conf.update({
+        'strategy': 'HyperoptableStrategy',
+        'user_data_dir': Path(tmpdir),
+        'hyperopt_random_state': 42,
+        'spaces': ['trades'],
+    })
+    hyperopt = Hyperopt(hyperopt_conf)
+    mocker.patch('freqtrade.optimize.hyperopt.Hyperopt._get_params_dict',
+                 return_value={
+                     'max_open_trades': -1
+                     })
+
+    assert isinstance(hyperopt.custom_hyperopt, HyperOptAuto)
+
+    hyperopt.start()
+
+    out, err = capsys.readouterr()
+
+    assert 'max_open_trades = -1' in out
+    assert 'max_open_trades = inf' not in out
+
+    ##############
+
+    hyperopt_conf.update({'print_json': True})
+
+    hyperopt = Hyperopt(hyperopt_conf)
+    mocker.patch('freqtrade.optimize.hyperopt.Hyperopt._get_params_dict',
+                 return_value={
+                     'max_open_trades': -1
+                     })
+
+    assert isinstance(hyperopt.custom_hyperopt, HyperOptAuto)
+
+    hyperopt.start()
+
+    out, err = capsys.readouterr()
+
+    assert '"max_open_trades":-1' in out
+
+
+def test_max_open_trades_consistency(mocker, hyperopt_conf, tmpdir, fee) -> None:
+    # This test is to ensure that max_open_trades is the same across all functions needing it
+    # after it has been changed from the hyperopt
+    patch_exchange(mocker)
+    mocker.patch('freqtrade.exchange.Exchange.get_fee', return_value=0)
+
+    (Path(tmpdir) / 'hyperopt_results').mkdir(parents=True)
+    hyperopt_conf.update({
+        'strategy': 'HyperoptableStrategy',
+        'user_data_dir': Path(tmpdir),
+        'hyperopt_random_state': 42,
+        'spaces': ['trades'],
+        'stake_amount': 'unlimited',
+        'dry_run_wallet': 8,
+        'available_capital': 8,
+        'dry_run': True,
+        'epochs': 1
+    })
+    hyperopt = Hyperopt(hyperopt_conf)
+
+    assert isinstance(hyperopt.custom_hyperopt, HyperOptAuto)
+
+    hyperopt.custom_hyperopt.max_open_trades_space = lambda: [
+        Integer(1, 10, name='max_open_trades')]
+
+    first_time_evaluated = False
+
+    def stake_amount_interceptor(func):
+        @wraps(func)
+        def wrapper(*args, **kwargs):
+            nonlocal first_time_evaluated
+            stake_amount = func(*args, **kwargs)
+            if first_time_evaluated is False:
+                assert stake_amount == 1
+                first_time_evaluated = True
+            return stake_amount
+        return wrapper
+
+    hyperopt.backtesting.wallets._calculate_unlimited_stake_amount = stake_amount_interceptor(
+        hyperopt.backtesting.wallets._calculate_unlimited_stake_amount)
+
+    hyperopt.start()
+
+    assert hyperopt.backtesting.strategy.max_open_trades == 8
+    assert hyperopt.config['max_open_trades'] == 8

tests/optimize/test_hyperopt_tools.py

@@ -66,52 +66,58 @@ def test_load_previous_results2(mocker, testdatadir, caplog) -> None:
 @pytest.mark.parametrize("spaces, expected_results", [
     (['buy'],
      {'buy': True, 'sell': False, 'roi': False, 'stoploss': False, 'trailing': False,
-      'protection': False}),
+      'protection': False, 'trades': False}),
     (['sell'],
      {'buy': False, 'sell': True, 'roi': False, 'stoploss': False, 'trailing': False,
-      'protection': False}),
+      'protection': False, 'trades': False}),
     (['roi'],
      {'buy': False, 'sell': False, 'roi': True, 'stoploss': False, 'trailing': False,
-      'protection': False}),
+      'protection': False, 'trades': False}),
     (['stoploss'],
      {'buy': False, 'sell': False, 'roi': False, 'stoploss': True, 'trailing': False,
-      'protection': False}),
+      'protection': False, 'trades': False}),
     (['trailing'],
      {'buy': False, 'sell': False, 'roi': False, 'stoploss': False, 'trailing': True,
-      'protection': False}),
+      'protection': False, 'trades': False}),
     (['buy', 'sell', 'roi', 'stoploss'],
      {'buy': True, 'sell': True, 'roi': True, 'stoploss': True, 'trailing': False,
-      'protection': False}),
+      'protection': False, 'trades': False}),
     (['buy', 'sell', 'roi', 'stoploss', 'trailing'],
      {'buy': True, 'sell': True, 'roi': True, 'stoploss': True, 'trailing': True,
-      'protection': False}),
+      'protection': False, 'trades': False}),
     (['buy', 'roi'],
      {'buy': True, 'sell': False, 'roi': True, 'stoploss': False, 'trailing': False,
-      'protection': False}),
+      'protection': False, 'trades': False}),
     (['all'],
      {'buy': True, 'sell': True, 'roi': True, 'stoploss': True, 'trailing': True,
-      'protection': True}),
+      'protection': True, 'trades': True}),
     (['default'],
      {'buy': True, 'sell': True, 'roi': True, 'stoploss': True, 'trailing': False,
-      'protection': False}),
+      'protection': False, 'trades': False}),
     (['default', 'trailing'],
      {'buy': True, 'sell': True, 'roi': True, 'stoploss': True, 'trailing': True,
-      'protection': False}),
+      'protection': False, 'trades': False}),
     (['all', 'buy'],
      {'buy': True, 'sell': True, 'roi': True, 'stoploss': True, 'trailing': True,
-      'protection': True}),
+      'protection': True, 'trades': True}),
     (['default', 'buy'],
      {'buy': True, 'sell': True, 'roi': True, 'stoploss': True, 'trailing': False,
-      'protection': False}),
+      'protection': False, 'trades': False}),
     (['all'],
      {'buy': True, 'sell': True, 'roi': True, 'stoploss': True, 'trailing': True,
-      'protection': True}),
+      'protection': True, 'trades': True}),
     (['protection'],
      {'buy': False, 'sell': False, 'roi': False, 'stoploss': False, 'trailing': False,
-      'protection': True}),
+      'protection': True, 'trades': False}),
+    (['trades'],
+     {'buy': False, 'sell': False, 'roi': False, 'stoploss': False, 'trailing': False,
+      'protection': False, 'trades': True}),
+    (['default', 'trades'],
+     {'buy': True, 'sell': True, 'roi': True, 'stoploss': True, 'trailing': False,
+      'protection': False, 'trades': True}),
 ])
 def test_has_space(hyperopt_conf, spaces, expected_results):
-    for s in ['buy', 'sell', 'roi', 'stoploss', 'trailing', 'protection']:
+    for s in ['buy', 'sell', 'roi', 'stoploss', 'trailing', 'protection', 'trades']:
         hyperopt_conf.update({'spaces': spaces})
         assert HyperoptTools.has_space(hyperopt_conf, s) == expected_results[s]
 
@@ -193,6 +199,9 @@ def test_export_params(tmpdir):
                 "346": 0.08499,
                 "507": 0.049,
                 "1595": 0
+            },
+            "max_open_trades": {
+                "max_open_trades": 5
             }
         },
         "params_not_optimized": {
@@ -219,6 +228,7 @@ def test_export_params(tmpdir):
     assert "roi" in content["params"]
     assert "stoploss" in content["params"]
     assert "trailing" in content["params"]
+    assert "max_open_trades" in content["params"]
 
 
 def test_try_export_params(default_conf, tmpdir, caplog, mocker):
@@ -297,6 +307,9 @@ def test_params_print(capsys):
             "trailing_stop_positive_offset": 0.1,
             "trailing_only_offset_is_reached": True
         },
+        "max_open_trades": {
+            "max_open_trades": 5
+        }
 
     }
     HyperoptTools._params_pretty_print(params, 'buy', 'No header', non_optimized)
@@ -327,6 +340,13 @@ def test_params_print(capsys):
     assert re.search('trailing_stop_positive_offset = 0.1  # value loaded.*\n', captured.out)
     assert re.search('trailing_only_offset_is_reached = True  # value loaded.*\n', captured.out)
 
+    HyperoptTools._params_pretty_print(
+                params, 'max_open_trades', "Max Open Trades:", non_optimized)
+    captured = capsys.readouterr()
+
+    assert re.search("# Max Open Trades:", captured.out)
+    assert re.search('max_open_trades = 5  # value loaded.*\n', captured.out)
+
 
 def test_hyperopt_serializer():
 

tests/strategy/strats/strategy_test_v3.py

@@ -30,6 +30,9 @@ class StrategyTestV3(IStrategy):
         "0": 0.04
     }
 
+    # Optimal max_open_trades for the strategy
+    max_open_trades = -1
+
     # Optimal stoploss designed for the strategy
     stoploss = -0.10
 

tests/strategy/test_strategy_loading.py

@@ -6,6 +6,7 @@ from pathlib import Path
 import pytest
 from pandas import DataFrame
 
+from freqtrade.configuration import Configuration
 from freqtrade.exceptions import OperationalException
 from freqtrade.resolvers import StrategyResolver
 from freqtrade.strategy.interface import IStrategy
@@ -175,6 +176,18 @@ def test_strategy_override_stoploss(caplog, default_conf):
     assert log_has("Override strategy 'stoploss' with value in config file: -0.5.", caplog)
 
 
+def test_strategy_override_max_open_trades(caplog, default_conf):
+    caplog.set_level(logging.INFO)
+    default_conf.update({
+        'strategy': CURRENT_TEST_STRATEGY,
+        'max_open_trades': 7
+    })
+    strategy = StrategyResolver.load_strategy(default_conf)
+
+    assert strategy.max_open_trades == 7
+    assert log_has("Override strategy 'max_open_trades' with value in config file: 7.", caplog)
+
+
 def test_strategy_override_trailing_stop(caplog, default_conf):
     caplog.set_level(logging.INFO)
     default_conf.update({
@@ -349,6 +362,38 @@ def test_strategy_override_use_exit_profit_only(caplog, default_conf):
     assert log_has("Override strategy 'exit_profit_only' with value in config file: True.", caplog)
 
 
+def test_strategy_max_open_trades_infinity_from_strategy(caplog, default_conf):
+    caplog.set_level(logging.INFO)
+    default_conf.update({
+        'strategy': CURRENT_TEST_STRATEGY,
+    })
+    del default_conf['max_open_trades']
+
+    strategy = StrategyResolver.load_strategy(default_conf)
+
+    # this test assumes -1 set to 'max_open_trades' in CURRENT_TEST_STRATEGY
+    assert strategy.max_open_trades == float('inf')
+    assert default_conf['max_open_trades'] == float('inf')
+
+
+def test_strategy_max_open_trades_infinity_from_config(caplog, default_conf, mocker):
+    caplog.set_level(logging.INFO)
+    default_conf.update({
+        'strategy': CURRENT_TEST_STRATEGY,
+        'max_open_trades': -1,
+        'exchange': 'binance'
+    })
+
+    configuration = Configuration(args=default_conf)
+    parsed_config = configuration.get_config()
+
+    assert parsed_config['max_open_trades'] == float('inf')
+
+    strategy = StrategyResolver.load_strategy(parsed_config)
+
+    assert strategy.max_open_trades == float('inf')
+
+
 @ pytest.mark.filterwarnings("ignore:deprecated")
 def test_missing_implements(default_conf, caplog):
 
@@ -438,3 +483,19 @@ def test_strategy_interface_versioning(dataframe_1m, default_conf):
     assert isinstance(exitdf, DataFrame)
     assert 'sell' not in exitdf
     assert 'exit_long' in exitdf
+
+
+def test_strategy_ft_load_params_from_file(mocker, default_conf):
+    default_conf.update({'strategy': 'StrategyTestV2'})
+    del default_conf['max_open_trades']
+    mocker.patch('freqtrade.strategy.hyper.HyperStrategyMixin.load_params_from_file',
+                 return_value={
+                     'params': {
+                         'max_open_trades':  {
+                            'max_open_trades': -1
+                         }
+                         }
+                     })
+    strategy = StrategyResolver.load_strategy(default_conf)
+    assert strategy.max_open_trades == float('inf')
+    assert strategy.config['max_open_trades'] == float('inf')