feat(backtest): add fast argument for backtesting

jesse/modes/backtest_mode.py

@@ -224,9 +224,11 @@ def load_candles(start_date_str: str, finish_date_str: str) -> Dict[str, Dict[st
     return candles
 
 
-def simulator(*args, **kwargs) -> dict:
+def simulator(*args, fast_simulation: bool = False, **kwargs) -> dict:
+    if fast_simulation:
+        return _skip_simulator(*args, **kwargs)
+
     return _step_simulator(*args, **kwargs)
-    # return _skip_simulator(*args, **kwargs)
 
 
 def _step_simulator(

jesse/research/backtest.py

@@ -16,7 +16,8 @@ def backtest(
         generate_csv: bool = False,
         generate_json: bool = False,
         generate_logs: bool = False,
-        hyperparameters: dict = None
+        hyperparameters: dict = None,
+        fast_simulation: bool = True
 ) -> dict:
     """
     An isolated backtest() function which is perfect for using in research, and AI training
@@ -64,7 +65,8 @@ def backtest(
         generate_json=generate_json,
         generate_equity_curve=generate_equity_curve,
         generate_hyperparameters=generate_hyperparameters,
-        generate_logs=generate_logs
+        generate_logs=generate_logs,
+        fast_simulation=fast_simulation,
     )
 
 
@@ -83,7 +85,8 @@ def _isolated_backtest(
         generate_json: bool = False,
         generate_equity_curve: bool = False,
         generate_hyperparameters: bool = False,
-        generate_logs: bool = False
+        generate_logs: bool = False,
+        fast_simulation: bool = True,
 ) -> dict:
     from jesse.services.validators import validate_routes
     from jesse.modes.backtest_mode import simulator
@@ -159,7 +162,8 @@ def _isolated_backtest(
         generate_json=generate_json,
         generate_equity_curve=generate_equity_curve,
         generate_hyperparameters=generate_hyperparameters,
-        generate_logs=generate_logs
+        generate_logs=generate_logs,
+        fast_simulation=fast_simulation,
     )
 
     result = {

jesse/store/state_candles.py

@@ -406,7 +406,6 @@ def add_multiple_1m_candles(
         exchange: str,
         symbol: str,
     ) -> None:
-        # assuming the functionality is only for '1m' candles for now
         if jh.is_collecting_data():
             raise NotImplemented("Collecting data is deactivated at the moment")
             # make sure it's a complete (and not a forming) candle
@@ -417,7 +416,7 @@ def add_multiple_1m_candles(
             # For now it's only implemented for backtesting
             return
 
-        arr: DynamicNumpyArray = self.get_storage(exchange, symbol, timeframe)
+        arr: DynamicNumpyArray = self.get_storage(exchange, symbol, '1m')
 
         # initial
         if len(arr) == 0: