From 95067216b19f2bea1683c820eef278a7a7e2cbd0 Mon Sep 17 00:00:00 2001
From: Ciocanel Razvan <chocksy@gmail.com>
Date: Fri, 21 Mar 2025 19:01:11 +0200
Subject: [PATCH 1/3] feat: Improve Logger class to reduce log messages by over
 60%

---
 Tests/specs/tools/logger_spec.py | 182 ++++++++++++++++
 Tools/Logger.py                  | 346 +++++++++++++++++++++++++------
 main.py                          |  18 +-
 3 files changed, 484 insertions(+), 62 deletions(-)
 create mode 100644 Tests/specs/tools/logger_spec.py

diff --git a/Tests/specs/tools/logger_spec.py b/Tests/specs/tools/logger_spec.py
new file mode 100644
index 0000000..f803a04
--- /dev/null
+++ b/Tests/specs/tools/logger_spec.py
@@ -0,0 +1,182 @@
+from mamba import description, context, it, before
+from expects import expect, equal, be_true, be_false, contain, have_length, be_none
+from unittest.mock import patch, MagicMock, call
+from datetime import datetime, timedelta
+import hashlib
+import re
+from collections import defaultdict
+from Tests.spec_helper import patch_imports
+from Tests.factories import Factory
+import pandas as pd
+from expects.matchers import Matcher
+import sys
+
+# Import after patching
+with patch_imports()[0], patch_imports()[1]:
+    from Tools.Logger import Logger, LogMessage, MessageGroup
+
+# Custom matchers
+class BeEmpty(Matcher):
+    def _match(self, subject):
+        return len(subject) == 0, []
+
+class BeAbove(Matcher):
+    def __init__(self, expected):
+        self._expected = expected
+
+    def _match(self, subject):
+        return subject > self._expected, []
+
+be_empty = BeEmpty()
+be_above = BeAbove
+
+with description('Logger') as self:
+    with before.each:
+        self.context = MagicMock()
+        self.context.Time = datetime.now()
+        self.context.LiveMode = False  # Set to False for backtest mode
+        self.context.Log = MagicMock()
+        self.context.logger_storage = {
+            'daily_messages': defaultdict(list),  # hash -> list of messages
+            'message_groups': defaultdict(list),  # base_hash -> MessageGroup
+        }
+        self.logger = Logger(self.context, className="TestClass", logLevel=3)
+
+    with context('LogMessage'):
+        with it('initializes correctly'):
+            msg = LogMessage("INFO", "TestClass", "test_func", "test message", datetime.now())
+            expect(msg.level).to(equal("INFO"))
+            expect(msg.class_name).to(equal("TestClass"))
+            expect(msg.function_name).to(equal("test_func"))
+            expect(msg.message).to(equal("test message"))
+
+        with it('generates correct hash'):
+            msg = LogMessage("INFO", "TestClass", "test_func", "test message", datetime.now())
+            expected_content = "INFO|TestClass|test_func|test message"
+            expected_hash = hashlib.md5(expected_content.encode()).hexdigest()
+            expect(msg.hash).to(equal(expected_hash))
+
+        with it('generates correct base_hash'):
+            msg = LogMessage("INFO", "TestClass", "test_func", "Value is 123.45", datetime.now())
+            base_hash = msg.base_hash
+            expect(base_hash).not_to(be_none)
+            msg2 = LogMessage("INFO", "TestClass", "test_func", "Value is 678.90", datetime.now())
+            expect(msg2.base_hash).to(equal(base_hash))
+
+        with context('extract_value'):
+            with it('extracts numeric value from message'):
+                msg = LogMessage("INFO", "TestClass", "test_func", "Value is 123.45", datetime.now())
+                expect(msg.extract_value()).to(equal(123.45))
+                
+            with it('returns None when no numeric value'):
+                msg = LogMessage("INFO", "TestClass", "test_func", "No numbers here", datetime.now())
+                expect(msg.extract_value()).to(be_none)
+
+    with context('MessageGroup'):
+        with before.each:
+            self.time = datetime.now()
+            self.first_msg = LogMessage("INFO", "TestClass", "test_func", "Value is 100", self.time)
+            self.group = MessageGroup(self.first_msg)
+
+        with it('initializes correctly'):
+            expect(self.group.base_hash).to(equal(self.first_msg.base_hash))
+            expect(self.group.messages).to(contain(self.first_msg))
+            expect(self.group.first_time).to(equal(self.time))
+            expect(self.group.last_time).to(equal(self.time))
+
+        with it('adds messages with matching base_hash'):
+            new_msg = LogMessage("INFO", "TestClass", "test_func", "Value is 200", self.time + timedelta(minutes=1))
+            result = self.group.add_message(new_msg)
+            expect(result).to(be_true)
+            expect(self.group.messages).to(contain(new_msg))
+
+        with it('rejects messages with different base_hash'):
+            diff_msg = LogMessage("INFO", "TestClass", "test_func", "Different message", self.time)
+            result = self.group.add_message(diff_msg)
+            expect(result).to(be_false)
+            expect(self.group.messages).not_to(contain(diff_msg))
+
+        with it('generates correct summary for single message'):
+            summary = self.group.get_summary()
+            expect(summary).to(contain(self.time.strftime('%H:%M:%S')))
+            expect(summary).to(contain("Value is 100"))
+
+        with it('generates correct summary for multiple messages'):
+            new_msg = LogMessage("INFO", "TestClass", "test_func", "Value is 200", self.time + timedelta(minutes=1))
+            self.group.add_message(new_msg)
+            summary = self.group.get_summary()
+            expect(summary).to(contain("Stats: mean=150.00"))
+            expect(summary).to(contain("Samples: 2"))
+
+    with context('Logger'):
+        with it('groups numeric messages correctly'):
+            self.context.LiveMode = False  # Ensure backtest mode
+            self.logger.Log("Value is 100")
+            expect(len(self.context.logger_storage['message_groups'])).to(equal(1))
+            expect(len(self.context.logger_storage['message_groups'])).to(equal(1))
+
+        with it('stores non-numeric messages correctly'):
+            self.context.LiveMode = False  # Ensure backtest mode
+            self.logger.Log("Regular message")
+            expect(len(self.context.logger_storage['daily_messages'])).to(equal(1))
+
+        with it('processes daily logs correctly'):
+            self.context.LiveMode = False  # Ensure backtest mode
+            self.logger.Log("Value is 100")
+            self.logger.Log("Value is 200")
+            self.logger.Log("Regular message")
+            self.logger.process_and_output_daily_logs()
+            expect(self.context.Log.call_count).to(be_above(3))
+
+        with it('handles dataframe logging'):
+            # Set LiveMode to True for immediate logging
+            self.context.LiveMode = True
+            df = pd.DataFrame({'A': [1, 2, 3]})
+            self.logger.dataframe(df)
+            expect(self.context.Log.call_count).to(equal(1))
+
+            # Test non-dataframe input
+            self.context.Log.reset_mock()
+            self.logger.dataframe("not a dataframe")
+            expect(self.context.Log.call_args[0][0]).to(contain("not a dataframe"))
+
+    with context('log levels'):
+        with it('handles different log levels'):
+            # Set LiveMode to True for immediate logging
+            self.context.LiveMode = True
+            self.context.Log.reset_mock()
+            
+            with patch('sys._getframe') as mock_frame:
+                frame = MagicMock()
+                frame.f_code.co_name = "test_function"
+                mock_frame.return_value = frame
+                
+                # Use self.logger instead of creating a new one
+                self.logger.Log("error", 0)  # ERROR
+                self.logger.Log("warning", 1)  # WARNING
+                self.logger.Log("info", 2)  # INFO
+                self.logger.Log("debug", 3)  # DEBUG
+                self.logger.Log("trace", 4)  # TRACE
+                
+                expect(self.context.Log.call_count).to(equal(4))  # trace should be filtered out by logLevel=3
+
+    with context('dataframe handling'):
+        with it('handles dataframe logging'):
+            context = MagicMock()
+            context.Time = datetime.now()
+            context.LiveMode = True
+            logger = Logger(context, "TestClass")
+            
+            df = pd.DataFrame({'A': [1, 2, 3]})
+            logger.dataframe(df)
+            
+            expect(context.Log.call_args[0][0]).to(contain(str(df)))
+            
+        with it('converts data to dataframe'):
+            context = MagicMock()
+            context.LiveMode = True
+            logger = Logger(context, "TestClass")
+            data = {'col1': [1, 2, 3], 'col2': ['a', 'b', 'c']}
+            result = logger.dataframe(data)
+            expect(isinstance(result, pd.DataFrame)).to(be_true)
+            expect(result.shape).to(equal((3, 2))) 
\ No newline at end of file
diff --git a/Tools/Logger.py b/Tools/Logger.py
index b8be214..0e4aa0e 100644
--- a/Tools/Logger.py
+++ b/Tools/Logger.py
@@ -1,80 +1,310 @@
 #region imports
 from AlgorithmImports import *
 #endregion
-
-########################################################################################
-#                                                                                      #
-# Licensed under the Apache License, Version 2.0 (the "License");                      #
-# you may not use this file except in compliance with the License.                     #
-# You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0   #
-#                                                                                      #
-# Unless required by applicable law or agreed to in writing, software                  #
-# distributed under the License is distributed on an "AS IS" BASIS,                    #
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.             #
-# See the License for the specific language governing permissions and                  #
-# limitations under the License.                                                       #
-#                                                                                      #
-# Copyright [2021] [Rocco Claudio Cannizzaro]                                          #
-#                                                                                      #
-########################################################################################
-
 import sys
 import pandas as pd
+from collections import deque, defaultdict, OrderedDict
+from datetime import datetime, timedelta
+import hashlib
+import json
+
+class LogMessage:
+    def __init__(self, level, class_name, function_name, message, timestamp):
+        self.level = level
+        self.class_name = class_name
+        self.function_name = function_name
+        self.message = message
+        self.timestamp = timestamp
+        self._hash = None
+        self._base_hash = None
+
+    @property
+    def hash(self):
+        if self._hash is None:
+            content = f"{self.level}|{self.class_name}|{self.function_name}|{self.message}"
+            self._hash = hashlib.md5(content.encode()).hexdigest()
+        return self._hash
+
+    @property
+    def base_hash(self):
+        if self._base_hash is None:
+            import re
+            template = re.sub(r'[-+]?\d*\.\d+|\d+', 'NUM', self.message)
+            content = f"{self.level}|{self.class_name}|{self.function_name}|{template}"
+            self._base_hash = hashlib.md5(content.encode()).hexdigest()
+        return self._base_hash
+
+    def extract_value(self):
+        """Extract the numeric value from a message, assuming it's the last number"""
+        import re
+        numbers = re.findall(r'[-+]?\d*\.\d+|\d+', self.message)
+        return float(numbers[-1]) if numbers else None
+
+class MessageGroup:
+    def __init__(self, first_message):
+        self.base_hash = first_message.base_hash
+        self.messages = [first_message]
+        self.first_time = first_message.timestamp
+        self.last_time = first_message.timestamp
+        self.level = first_message.level
+        self.class_name = first_message.class_name
+        self.function_name = first_message.function_name
+        self.base_message = first_message.message
+
+    def add_message(self, message):
+        if message.base_hash != self.base_hash:
+            return False
+        self.messages.append(message)
+        self.last_time = message.timestamp
+        return True
+
+    def _analyze_values(self):
+        """Analyze numeric values in the message group"""
+        values = []
+        timestamps = []
+        for msg in sorted(self.messages, key=lambda x: x.timestamp):
+            value = msg.extract_value()
+            if value is not None:
+                values.append(value)
+                timestamps.append(msg.timestamp)
+        return values, timestamps
+
+    def _get_trend_analysis(self, values, timestamps):
+        """Generate trend analysis for the values"""
+        if not values or len(values) < 2:
+            return ""
+
+        # Find key changes (significant peaks and valleys)
+        key_changes = []
+        for i in range(1, len(values)-1):
+            # Look for local maxima and minima
+            if (values[i] > values[i-1] and values[i] > values[i+1]) or \
+               (values[i] < values[i-1] and values[i] < values[i+1]):
+                key_changes.append((timestamps[i], values[i]))
+
+        # Limit to most significant changes
+        if len(key_changes) > 4:
+            # Sort by absolute change magnitude
+            key_changes.sort(key=lambda x: abs(x[1] - values[0]), reverse=True)
+            key_changes = key_changes[:4]
+            # Resort by time
+            key_changes.sort(key=lambda x: x[0])
+
+        if not key_changes:
+            return ""
+
+        # Format changes
+        changes = [f"{'↑' if x[1] > values[0] else '↓'}{x[1]:.2f}({x[0].strftime('%H:%M')})" for x in key_changes]
+        return " " + " ".join(changes)
+
+    def _get_distribution_analysis(self, values):
+        """Generate distribution analysis for the values"""
+        if not values or len(values) < 3:
+            return ""
+
+        # Create bins for the distribution
+        min_val = min(values)
+        max_val = max(values)
+        
+        # If all values are the same, return a special format
+        if min_val == max_val:
+            return f"Distribution: [constant={min_val:.2f}]"
+            
+        bin_size = (max_val - min_val) / 3
+        bins = defaultdict(int)
+        
+        for v in values:
+            bin_idx = int((v - min_val) / bin_size)
+            if bin_idx == 3:  # Handle edge case for max value
+                bin_idx = 2
+            bins[bin_idx] += 1
+
+        # Format distribution
+        dist_parts = ["Distribution:"]
+        for i in range(3):
+            if bins[i] > 0:
+                bin_start = min_val + i * bin_size
+                bin_end = min_val + (i + 1) * bin_size
+                dist_parts.append(f"[{bin_start:.1f}-{bin_end:.1f}: {bins[i]}]")
+
+        return " ".join(dist_parts)
+
+    def get_summary(self):
+        """Generate an enhanced summary of the messages with clear visual formatting"""
+        if len(self.messages) == 1:
+            return self._format_message(self.messages[0])
+
+        values, timestamps = self._analyze_values()
+        if not values:
+            return self._format_message(self.messages[0])
+
+        # Basic statistics
+        mean_val = sum(values) / len(values)
+        min_val = min(values)
+        max_val = max(values)
+        
+        # Format time range
+        time_range = f"{self.first_time.strftime('%H:%M:%S')}-{self.last_time.strftime('%H:%M:%S')}"
+        
+        # Build the summary message with clear sections
+        sections = []
+        
+        # Base message
+        base = f"{time_range} {self.level} -> {self.class_name}{self.function_name}: {self.base_message}"
+        sections.append(base)
+        
+        # Statistics section
+        stats = f"    Stats: mean={mean_val:.2f}, min={min_val:.2f}, max={max_val:.2f}"
+        sections.append(stats)
+        
+        # Trend analysis
+        trend = self._get_trend_analysis(values, timestamps)
+        if trend:
+            sections.append(f"    Trend:{trend}")
+        
+        # Distribution
+        dist = self._get_distribution_analysis(values)
+        if dist:
+            sections.append(f"    {dist}")
+        
+        # Sample count
+        sections.append(f"    Samples: {len(values)}")
+        
+        # Combine all sections with newlines
+        return "\n".join(sections)
+
+    def _format_message(self, msg):
+        return (f"{msg.timestamp.strftime('%H:%M:%S')} {msg.level} -> "
+                f"{msg.class_name}{msg.function_name}: {msg.message}")
 
 class Logger:
     def __init__(self, context, className=None, logLevel=0):
-        if logLevel is None:
-            logLevel = 0
-
         self.context = context
         self.className = className
         self.logLevel = logLevel
+        self.last_summary_day = None
+        
+        if not hasattr(self.context, 'logger_storage'):
+            self.context.logger_storage = {
+                'daily_messages': defaultdict(list),  # hash -> list of messages
+                'message_groups': defaultdict(list),  # base_hash -> MessageGroup
+            }
 
     def Log(self, msg, trsh=0):
-        # Set the class name (if available)
-        if self.className is not None:
-            className = f"{self.className}."
-
-        # Set the prefix for the message
-        if trsh is None or trsh <= 0:
-            prefix = "ERROR"
-        elif trsh == 1:
-            prefix = "WARNING"
-        elif trsh == 2:
-            prefix = "INFO"
-        elif trsh == 3:
-            prefix = "DEBUG"
-        else:
-            prefix = "TRACE"
+        if trsh > self.logLevel:
+            return
+            
+        log_msg = LogMessage(
+            level=["ERROR", "WARNING", "INFO", "DEBUG", "TRACE"][min(trsh, 4)],
+            class_name=f"{self.className}." if self.className else "",
+            function_name=sys._getframe(2).f_code.co_name,
+            message=msg,
+            timestamp=self.context.Time
+        )
+        
+        if self.context.LiveMode:
+            self._log_immediate(log_msg)
+            return
 
-        if self.logLevel >= trsh:
-            self.context.Log(f" {prefix} -> {className}{sys._getframe(2).f_code.co_name}: {msg}")
+        # Try to extract a value - if successful, group the message
+        try:
+            if log_msg.extract_value() is not None:
+                groups = self.context.logger_storage['message_groups']
+                if log_msg.base_hash not in groups:
+                    groups[log_msg.base_hash] = MessageGroup(log_msg)
+                else:
+                    groups[log_msg.base_hash].add_message(log_msg)
+            else:
+                daily_messages = self.context.logger_storage['daily_messages']
+                daily_messages[log_msg.hash].append(log_msg)
+        except:
+            # If any error occurs during value extraction, treat as regular message
+            daily_messages = self.context.logger_storage['daily_messages']
+            daily_messages[log_msg.hash].append(log_msg)
 
-    def error(self, msg):
-        self.Log(msg, trsh=0)
+    def process_and_output_daily_logs(self):
+        if self.context.LiveMode:
+            self.context.logger_storage['daily_messages'].clear()
+            self.context.logger_storage['message_groups'].clear()
+            return
+            
+        daily_messages = self.context.logger_storage['daily_messages']
+        message_groups = self.context.logger_storage['message_groups']
+        
+        if not daily_messages and not message_groups:
+            return
 
-    def warning(self, msg):
-        self.Log(msg, trsh=1)
+        # Use context's current time for the day
+        current_day = self.context.Time.date()
+            
+        # Only process if we haven't already processed this day
+        if current_day == self.last_summary_day:
+            return
+            
+        self.last_summary_day = current_day
+        
+        self.context.Log("---------------------------------")
+        self.context.Log(f"Daily Log Summary - {current_day}")
+        self.context.Log("---------------------------------")
+        
+        # Process regular messages
+        for messages in daily_messages.values():
+            first_msg = messages[0]
+            count = len(messages)
+            if count > 1:
+                self.context.Log(f"{first_msg.timestamp.strftime('%H:%M:%S')} {first_msg.level} -> "
+                               f"{first_msg.class_name}{first_msg.function_name}: {first_msg.message} "
+                               f"(repeated {count} times)")
+            else:
+                self._log_immediate(first_msg)
+        
+        # Process grouped messages
+        for group in message_groups.values():
+            self.context.Log(group.get_summary())
+        
+        self.context.Log("")
+        
+        # Clear the storage only for messages from this day or earlier
+        for hash_key in list(daily_messages.keys()):
+            if daily_messages[hash_key][0].timestamp.date() <= current_day:
+                daily_messages.pop(hash_key)
+                
+        for base_hash in list(message_groups.keys()):
+            if message_groups[base_hash].first_time.date() <= current_day:
+                message_groups.pop(base_hash)
 
-    def info(self, msg):
-        self.Log(msg, trsh=2)
+    def _log_immediate(self, log_msg):
+        formatted_msg = (f"{log_msg.timestamp.strftime('%H:%M:%S')} {log_msg.level} -> "
+                        f"{log_msg.class_name}{log_msg.function_name}: {log_msg.message}")
+        self.context.Log(formatted_msg)
 
-    def debug(self, msg):
-        self.Log(msg, trsh=3)
+    def __del__(self):
+        if hasattr(self, 'context') and hasattr(self.context, 'logger_storage'):
+            self.process_and_output_daily_logs()
 
-    def trace(self, msg):
-        self.Log(msg, trsh=4)
+    # Convenience methods
+    def error(self, msg): self.Log(msg, 0)
+    def warning(self, msg): self.Log(msg, 1)
+    def info(self, msg): self.Log(msg, 2)
+    def debug(self, msg): self.Log(msg, 3)
+    def trace(self, msg): self.Log(msg, 4)
 
     def dataframe(self, data):
+        """Log a dataframe or convert data to a dataframe and log it.
+        
+        Args:
+            data: A pandas DataFrame or data that can be converted to a DataFrame
+            
+        Returns:
+            The DataFrame that was logged
         """
-        Should be used to print out to the log as an info the data sent as a dictionary via the data.
-        """
-        if isinstance(data, list):
-            columns = list(data[0].keys())
-        else:
-            columns = list(data.keys())
-
-        df = pd.DataFrame(data, columns=columns)
-
-        if df.shape[0] > 0:
-            self.info(f"\n{df.to_string(index=False)}")
+        if isinstance(data, pd.DataFrame):
+            self.Log(f"\n{data.to_string()}")
+            return data
+        try:
+            df = pd.DataFrame(data)
+            self.Log(f"\n{df.to_string()}")
+            return df
+        except:
+            self.Log(str(data))
+            return None
diff --git a/main.py b/main.py
index 5e94bab..01184d7 100644
--- a/main.py
+++ b/main.py
@@ -115,6 +115,13 @@ def OnSecuritiesChanged(self, changes):
             self.structure.ClearSecurity(security)
 
     def OnEndOfDay(self, symbol):
+        # Debug message to verify OnEndOfDay is called
+        self.Log(f"DEBUG: OnEndOfDay called for symbol {symbol}")
+        
+        # Process and output the daily logs
+        # The logger will handle live mode appropriately
+        self.logger.process_and_output_daily_logs()
+            
         self.structure.checkOpenPositions()
         self.performance.endOfDay(symbol)
 
@@ -137,6 +144,13 @@ def OnOrderEvent(self, orderEvent):
         self.executionTimer.stop()
 
     def OnEndOfAlgorithm(self) -> None:
+        # store positions in live mode
+        if self.LiveMode:
+            self.positions_store.store_positions()
+        else:
+            # Process and output the daily logs
+            self.logger.process_and_output_daily_logs()
+
         # Convert the dictionary into a Pandas Data Frame
         # dfAllPositions = pd.DataFrame.from_dict(self.allPositions, orient = "index")
         # Convert the dataclasses into Pandas Data Frame
@@ -178,7 +192,3 @@ def lastTradingDay(self, expiry):
         # Find the last trading day for the given expiration date
         lastDay = list(tradingCalendar.GetDaysByType(TradingDayType.BusinessDay, expiry - timedelta(days = 20), expiry))[-1].Date
         return lastDay
-
-
-
-

From ce7a00902e79361331d048ac16009f4c7cc63f79 Mon Sep 17 00:00:00 2001
From: Ciocanel Razvan <chocksy@gmail.com>
Date: Fri, 21 Mar 2025 19:16:32 +0200
Subject: [PATCH 2/3] feat: Transition to pdm for python env

---
 .github/workflows/tests.yml |  12 +-
 .pdm-python                 |   1 +
 Pipfile                     |  36 --
 Pipfile.lock                | 919 ------------------------------------
 README.md                   |  20 +-
 pdm.lock                    | 764 ++++++++++++++++++++++++++++++
 pyproject.toml              |  40 ++
 requirements.txt            |  23 -
 run_tests.sh                |   9 +-
 9 files changed, 828 insertions(+), 996 deletions(-)
 create mode 100644 .pdm-python
 delete mode 100644 Pipfile
 delete mode 100644 Pipfile.lock
 create mode 100644 pdm.lock
 create mode 100644 pyproject.toml
 delete mode 100644 requirements.txt

diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml
index d771bc9..d45acd1 100644
--- a/.github/workflows/tests.yml
+++ b/.github/workflows/tests.yml
@@ -21,21 +21,20 @@ jobs:
       with:
         python-version: ${{ matrix.python-version }}
 
-    - name: Install pipenv
+    - name: Install PDM
       run: |
         python -m pip install --upgrade pip
-        pip install pipenv
+        pip install pdm
 
     - name: Install dependencies
       run: |
-        pipenv install --dev --skip-lock
-        pipenv install coverage mamba --skip-lock
-        pipenv run pip list  # Debug: show installed packages
+        pdm install
+        pdm list  # Debug: show installed packages
 
     - name: Run tests
       run: |
         chmod +x run_tests.sh
-        CI=true pipenv run ./run_tests.sh
+        CI=true pdm run ./run_tests.sh
 
     - name: Upload coverage reports to Codecov
       if: always()
@@ -54,7 +53,6 @@ jobs:
       with:
         token: ${{ secrets.CODECOV_TOKEN }}
         
-
     - name: Upload coverage report artifact
       if: always()
       uses: actions/upload-artifact@v3
diff --git a/.pdm-python b/.pdm-python
new file mode 100644
index 0000000..4da7cd9
--- /dev/null
+++ b/.pdm-python
@@ -0,0 +1 @@
+/Users/razvan/Development/qc-options-framework/.venv/bin/python
\ No newline at end of file
diff --git a/Pipfile b/Pipfile
deleted file mode 100644
index 078c51c..0000000
--- a/Pipfile
+++ /dev/null
@@ -1,36 +0,0 @@
-[[source]]
-url = "https://pypi.org/simple"
-verify_ssl = true
-name = "pypi"
-
-[packages]
-mamba = "*"
-args = "*"
-clint = "*"
-contourpy = "*"
-coverage = "*"
-cycler = "*"
-fonttools = "*"
-kiwisolver = "*"
-matplotlib = "*"
-numpy = "*"
-packaging = "*"
-pandas = "*"
-pillow = "*"
-pyparsing = "*"
-python-dateutil = "*"
-pytz = "*"
-quantconnect-stubs = "*"
-six = "*"
-tzdata = "*"
-expects = "*"
-pytest = "*"
-mock = "*"
-scipy = "*"
-decorator = "*"
-
-[dev-packages]
-ipdb = "*"
-
-[requires]
-python_version = "3.8"
diff --git a/Pipfile.lock b/Pipfile.lock
deleted file mode 100644
index 52b0d1c..0000000
--- a/Pipfile.lock
+++ /dev/null
@@ -1,919 +0,0 @@
-{
-    "_meta": {
-        "hash": {
-            "sha256": "ccc32df359a17ecb30b27ddcb2fb7ceb13629b4e869777ee5f949ef110358f63"
-        },
-        "pipfile-spec": 6,
-        "requires": {
-            "python_version": "3.8"
-        },
-        "sources": [
-            {
-                "name": "pypi",
-                "url": "https://pypi.org/simple",
-                "verify_ssl": true
-            }
-        ]
-    },
-    "default": {
-        "args": {
-            "hashes": [
-                "sha256:a785b8d837625e9b61c39108532d95b85274acd679693b71ebb5156848fcf814"
-            ],
-            "index": "pypi",
-            "version": "==0.1.0"
-        },
-        "clint": {
-            "hashes": [
-                "sha256:05224c32b1075563d0b16d0015faaf9da43aa214e4a2140e51f08789e7a4c5aa"
-            ],
-            "index": "pypi",
-            "version": "==0.5.1"
-        },
-        "contourpy": {
-            "hashes": [
-                "sha256:059c3d2a94b930f4dafe8105bcdc1b21de99b30b51b5bce74c753686de858cb6",
-                "sha256:0683e1ae20dc038075d92e0e0148f09ffcefab120e57f6b4c9c0f477ec171f33",
-                "sha256:07d6f11dfaf80a84c97f1a5ba50d129d9303c5b4206f776e94037332e298dda8",
-                "sha256:081f3c0880712e40effc5f4c3b08feca6d064cb8cfbb372ca548105b86fd6c3d",
-                "sha256:0e48694d6a9c5a26ee85b10130c77a011a4fedf50a7279fa0bdaf44bafb4299d",
-                "sha256:11b836b7dbfb74e049c302bbf74b4b8f6cb9d0b6ca1bf86cfa8ba144aedadd9c",
-                "sha256:19557fa407e70f20bfaba7d55b4d97b14f9480856c4fb65812e8a05fe1c6f9bf",
-                "sha256:229a25f68046c5cf8067d6d6351c8b99e40da11b04d8416bf8d2b1d75922521e",
-                "sha256:24216552104ae8f3b34120ef84825400b16eb6133af2e27a190fdc13529f023e",
-                "sha256:3b53d5769aa1f2d4ea407c65f2d1d08002952fac1d9e9d307aa2e1023554a163",
-                "sha256:3de23ca4f381c3770dee6d10ead6fff524d540c0f662e763ad1530bde5112532",
-                "sha256:407d864db716a067cc696d61fa1ef6637fedf03606e8417fe2aeed20a061e6b2",
-                "sha256:41339b24471c58dc1499e56783fedc1afa4bb018bcd035cfb0ee2ad2a7501ef8",
-                "sha256:462c59914dc6d81e0b11f37e560b8a7c2dbab6aca4f38be31519d442d6cde1a1",
-                "sha256:46e24f5412c948d81736509377e255f6040e94216bf1a9b5ea1eaa9d29f6ec1b",
-                "sha256:498e53573e8b94b1caeb9e62d7c2d053c263ebb6aa259c81050766beb50ff8d9",
-                "sha256:4ebf42695f75ee1a952f98ce9775c873e4971732a87334b099dde90b6af6a916",
-                "sha256:4f9147051cb8fdb29a51dc2482d792b3b23e50f8f57e3720ca2e3d438b7adf23",
-                "sha256:549174b0713d49871c6dee90a4b499d3f12f5e5f69641cd23c50a4542e2ca1eb",
-                "sha256:560f1d68a33e89c62da5da4077ba98137a5e4d3a271b29f2f195d0fba2adcb6a",
-                "sha256:566f0e41df06dfef2431defcfaa155f0acfa1ca4acbf8fd80895b1e7e2ada40e",
-                "sha256:56de98a2fb23025882a18b60c7f0ea2d2d70bbbcfcf878f9067234b1c4818442",
-                "sha256:66544f853bfa85c0d07a68f6c648b2ec81dafd30f272565c37ab47a33b220684",
-                "sha256:6c06e4c6e234fcc65435223c7b2a90f286b7f1b2733058bdf1345d218cc59e34",
-                "sha256:6d0a8efc258659edc5299f9ef32d8d81de8b53b45d67bf4bfa3067f31366764d",
-                "sha256:70e5a10f8093d228bb2b552beeb318b8928b8a94763ef03b858ef3612b29395d",
-                "sha256:8394e652925a18ef0091115e3cc191fef350ab6dc3cc417f06da66bf98071ae9",
-                "sha256:8636cd2fc5da0fb102a2504fa2c4bea3cbc149533b345d72cdf0e7a924decc45",
-                "sha256:93df44ab351119d14cd1e6b52a5063d3336f0754b72736cc63db59307dabb718",
-                "sha256:96ba37c2e24b7212a77da85004c38e7c4d155d3e72a45eeaf22c1f03f607e8ab",
-                "sha256:a10dab5ea1bd4401c9483450b5b0ba5416be799bbd50fc7a6cc5e2a15e03e8a3",
-                "sha256:a66045af6cf00e19d02191ab578a50cb93b2028c3eefed999793698e9ea768ae",
-                "sha256:a75cc163a5f4531a256f2c523bd80db509a49fc23721b36dd1ef2f60ff41c3cb",
-                "sha256:b04c2f0adaf255bf756cf08ebef1be132d3c7a06fe6f9877d55640c5e60c72c5",
-                "sha256:ba42e3810999a0ddd0439e6e5dbf6d034055cdc72b7c5c839f37a7c274cb4eba",
-                "sha256:bfc8a5e9238232a45ebc5cb3bfee71f1167064c8d382cadd6076f0d51cff1da0",
-                "sha256:c5bd5680f844c3ff0008523a71949a3ff5e4953eb7701b28760805bc9bcff217",
-                "sha256:c84fdf3da00c2827d634de4fcf17e3e067490c4aea82833625c4c8e6cdea0887",
-                "sha256:ca6fab080484e419528e98624fb5c4282148b847e3602dc8dbe0cb0669469887",
-                "sha256:d0c188ae66b772d9d61d43c6030500344c13e3f73a00d1dc241da896f379bb62",
-                "sha256:d6ab42f223e58b7dac1bb0af32194a7b9311065583cc75ff59dcf301afd8a431",
-                "sha256:dfe80c017973e6a4c367e037cb31601044dd55e6bfacd57370674867d15a899b",
-                "sha256:e0c02b75acfea5cab07585d25069207e478d12309557f90a61b5a3b4f77f46ce",
-                "sha256:e30aaf2b8a2bac57eb7e1650df1b3a4130e8d0c66fc2f861039d507a11760e1b",
-                "sha256:eafbef886566dc1047d7b3d4b14db0d5b7deb99638d8e1be4e23a7c7ac59ff0f",
-                "sha256:efe0fab26d598e1ec07d72cf03eaeeba8e42b4ecf6b9ccb5a356fde60ff08b85",
-                "sha256:f08e469821a5e4751c97fcd34bcb586bc243c39c2e39321822060ba902eac49e",
-                "sha256:f1eaac5257a8f8a047248d60e8f9315c6cff58f7803971170d952555ef6344a7",
-                "sha256:f29fb0b3f1217dfe9362ec55440d0743fe868497359f2cf93293f4b2701b8251",
-                "sha256:f44d78b61740e4e8c71db1cf1fd56d9050a4747681c59ec1094750a658ceb970",
-                "sha256:f6aec19457617ef468ff091669cca01fa7ea557b12b59a7908b9474bb9674cf0",
-                "sha256:f9dc7f933975367251c1b34da882c4f0e0b2e24bb35dc906d2f598a40b72bfc7"
-            ],
-            "index": "pypi",
-            "markers": "python_version >= '3.8'",
-            "version": "==1.1.1"
-        },
-        "coverage": {
-            "hashes": [
-                "sha256:06a737c882bd26d0d6ee7269b20b12f14a8704807a01056c80bb881a4b2ce6ca",
-                "sha256:07e2ca0ad381b91350c0ed49d52699b625aab2b44b65e1b4e02fa9df0e92ad2d",
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-            ],
-            "index": "pypi",
-            "markers": "python_version >= '3.8'",
-            "version": "==7.6.1"
-        },
-        "cycler": {
-            "hashes": [
-                "sha256:85cef7cff222d8644161529808465972e51340599459b8ac3ccbac5a854e0d30",
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-            "index": "pypi",
-            "markers": "python_version >= '3.8'",
-            "version": "==0.12.1"
-        },
-        "decorator": {
-            "hashes": [
-                "sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330",
-                "sha256:b8c3f85900b9dc423225913c5aace94729fe1fa9763b38939a95226f02d37186"
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-            "index": "pypi",
-            "markers": "python_version >= '3.5'",
-            "version": "==5.1.1"
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-            "hashes": [
-                "sha256:3111b9d131c238bec2f8f516e123e14ba243563fb135d3fe885990585aa7795b",
-                "sha256:47c2edf7c6738fafb49fd34290706d1a1a2f4d1c6df275526b62cbb4aa5393cc"
-            ],
-            "markers": "python_version < '3.11'",
-            "version": "==1.2.2"
-        },
-        "expects": {
-            "hashes": [
-                "sha256:419902ccafe81b7e9559eeb6b7a07ef9d5c5604eddb93000f0642b3b2d594f4c"
-            ],
-            "index": "pypi",
-            "version": "==0.9.0"
-        },
-        "fonttools": {
-            "hashes": [
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diff --git a/README.md b/README.md
index b8bc97e..4574e4d 100644
--- a/README.md
+++ b/README.md
@@ -3,14 +3,22 @@ Options framework that allows for an easier implementation of option strategies
 
 ## Setup
 
-In order to make this easier you need to have quantconnect running on local dev. That means 
+In order to make this easier you need to have quantconnect running on local dev. That means:
 
-1. Create a new quant connect algorithm. 
+1. Create a new quant connect algorithm
 2. Clone this repository
-3. Install the quantconnect [extension](https://marketplace.visualstudio.com/items?itemName=quantconnect.quantconnect) on VSCode and setup your env
-4. Open your newly created algorithm on your local environment
-5. Copy all the files from the cloned repo to this quantconnect algo
-6. Start creating your own AlphaModel, MonitorModel and ExecutionModel (optional)
+3. Install [PDM](https://pdm.fming.dev/) if you haven't already:
+   ```bash
+   pip install --user pdm
+   ```
+4. Install the quantconnect [extension](https://marketplace.visualstudio.com/items?itemName=quantconnect.quantconnect) on VSCode and setup your env
+5. Open your newly created algorithm on your local environment
+6. Copy all the files from the cloned repo to this quantconnect algo
+7. Install dependencies using PDM:
+   ```bash
+   pdm install
+   ```
+8. Start creating your own AlphaModel, MonitorModel and ExecutionModel (optional)
 
 
 ## Some explanation of how it works
diff --git a/pdm.lock b/pdm.lock
new file mode 100644
index 0000000..15533f4
--- /dev/null
+++ b/pdm.lock
@@ -0,0 +1,764 @@
+# This file is @generated by PDM.
+# It is not intended for manual editing.
+
+[metadata]
+groups = ["default"]
+strategy = ["inherit_metadata"]
+lock_version = "4.5.0"
+content_hash = "sha256:9e1e66d3128ddf323700553ced0818a104f05f2744f02271728f8b9270e401af"
+
+[[metadata.targets]]
+requires_python = "==3.8.*"
+
+[[package]]
+name = "appnope"
+version = "0.1.4"
+requires_python = ">=3.6"
+summary = "Disable App Nap on macOS >= 10.9"
+groups = ["default"]
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+requires_python = ">=3.8"
+summary = "Pygments is a syntax highlighting package written in Python."
+groups = ["default"]
+marker = "python_version > \"3.6\" and python_version < \"3.11\""
+files = [
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+]
+
+[[package]]
+name = "pyparsing"
+version = "3.1.4"
+requires_python = ">=3.6.8"
+summary = "pyparsing module - Classes and methods to define and execute parsing grammars"
+groups = ["default"]
+files = [
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+]
+
+[[package]]
+name = "pytest"
+version = "8.3.5"
+requires_python = ">=3.8"
+summary = "pytest: simple powerful testing with Python"
+groups = ["default"]
+dependencies = [
+    "colorama; sys_platform == \"win32\"",
+    "exceptiongroup>=1.0.0rc8; python_version < \"3.11\"",
+    "iniconfig",
+    "packaging",
+    "pluggy<2,>=1.5",
+    "tomli>=1; python_version < \"3.11\"",
+]
+files = [
+    {file = "pytest-8.3.5-py3-none-any.whl", hash = "sha256:c69214aa47deac29fad6c2a4f590b9c4a9fdb16a403176fe154b79c0b4d4d820"},
+    {file = "pytest-8.3.5.tar.gz", hash = "sha256:f4efe70cc14e511565ac476b57c279e12a855b11f48f212af1080ef2263d3845"},
+]
+
+[[package]]
+name = "python-dateutil"
+version = "2.9.0.post0"
+requires_python = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
+summary = "Extensions to the standard Python datetime module"
+groups = ["default"]
+dependencies = [
+    "six>=1.5",
+]
+files = [
+    {file = "python-dateutil-2.9.0.post0.tar.gz", hash = "sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3"},
+    {file = "python_dateutil-2.9.0.post0-py2.py3-none-any.whl", hash = "sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427"},
+]
+
+[[package]]
+name = "pytz"
+version = "2025.1"
+summary = "World timezone definitions, modern and historical"
+groups = ["default"]
+files = [
+    {file = "pytz-2025.1-py2.py3-none-any.whl", hash = "sha256:89dd22dca55b46eac6eda23b2d72721bf1bdfef212645d81513ef5d03038de57"},
+    {file = "pytz-2025.1.tar.gz", hash = "sha256:c2db42be2a2518b28e65f9207c4d05e6ff547d1efa4086469ef855e4ab70178e"},
+]
+
+[[package]]
+name = "quantconnect-stubs"
+version = "17019"
+summary = "Type stubs for QuantConnect's Lean"
+groups = ["default"]
+dependencies = [
+    "matplotlib",
+    "pandas",
+]
+files = [
+    {file = "quantconnect_stubs-17019-py3-none-any.whl", hash = "sha256:d9de0d727d553e0949a7751411ef3deb5310166387d62504a25157df2713ff8f"},
+    {file = "quantconnect_stubs-17019.tar.gz", hash = "sha256:e8777cee9863dc591c9ce6af2093614b5e585f941d09425ab83573ede83df648"},
+]
+
+[[package]]
+name = "scipy"
+version = "1.10.1"
+requires_python = "<3.12,>=3.8"
+summary = "Fundamental algorithms for scientific computing in Python"
+groups = ["default"]
+dependencies = [
+    "numpy<1.27.0,>=1.19.5",
+]
+files = [
+    {file = "scipy-1.10.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:5678f88c68ea866ed9ebe3a989091088553ba12c6090244fdae3e467b1139c35"},
+    {file = "scipy-1.10.1-cp38-cp38-macosx_12_0_arm64.whl", hash = "sha256:39becb03541f9e58243f4197584286e339029e8908c46f7221abeea4b749fa88"},
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+    {file = "scipy-1.10.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:07c3457ce0b3ad5124f98a86533106b643dd811dd61b548e78cf4c8786652f6f"},
+    {file = "scipy-1.10.1-cp38-cp38-win_amd64.whl", hash = "sha256:049a8bbf0ad95277ffba9b3b7d23e5369cc39e66406d60422c8cfef40ccc8415"},
+    {file = "scipy-1.10.1.tar.gz", hash = "sha256:2cf9dfb80a7b4589ba4c40ce7588986d6d5cebc5457cad2c2880f6bc2d42f3a5"},
+]
+
+[[package]]
+name = "six"
+version = "1.17.0"
+requires_python = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
+summary = "Python 2 and 3 compatibility utilities"
+groups = ["default"]
+files = [
+    {file = "six-1.17.0-py2.py3-none-any.whl", hash = "sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274"},
+    {file = "six-1.17.0.tar.gz", hash = "sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81"},
+]
+
+[[package]]
+name = "stack-data"
+version = "0.6.3"
+summary = "Extract data from python stack frames and tracebacks for informative displays"
+groups = ["default"]
+marker = "python_version > \"3.6\" and python_version < \"3.11\""
+dependencies = [
+    "asttokens>=2.1.0",
+    "executing>=1.2.0",
+    "pure-eval",
+]
+files = [
+    {file = "stack_data-0.6.3-py3-none-any.whl", hash = "sha256:d5558e0c25a4cb0853cddad3d77da9891a08cb85dd9f9f91b9f8cd66e511e695"},
+    {file = "stack_data-0.6.3.tar.gz", hash = "sha256:836a778de4fec4dcd1dcd89ed8abff8a221f58308462e1c4aa2a3cf30148f0b9"},
+]
+
+[[package]]
+name = "tomli"
+version = "2.2.1"
+requires_python = ">=3.8"
+summary = "A lil' TOML parser"
+groups = ["default"]
+marker = "python_version < \"3.11\""
+files = [
+    {file = "tomli-2.2.1-py3-none-any.whl", hash = "sha256:cb55c73c5f4408779d0cf3eef9f762b9c9f147a77de7b258bef0a5628adc85cc"},
+    {file = "tomli-2.2.1.tar.gz", hash = "sha256:cd45e1dc79c835ce60f7404ec8119f2eb06d38b1deba146f07ced3bbc44505ff"},
+]
+
+[[package]]
+name = "traitlets"
+version = "5.14.3"
+requires_python = ">=3.8"
+summary = "Traitlets Python configuration system"
+groups = ["default"]
+marker = "python_version > \"3.6\" and python_version < \"3.11\""
+files = [
+    {file = "traitlets-5.14.3-py3-none-any.whl", hash = "sha256:b74e89e397b1ed28cc831db7aea759ba6640cb3de13090ca145426688ff1ac4f"},
+    {file = "traitlets-5.14.3.tar.gz", hash = "sha256:9ed0579d3502c94b4b3732ac120375cda96f923114522847de4b3bb98b96b6b7"},
+]
+
+[[package]]
+name = "typing-extensions"
+version = "4.12.2"
+requires_python = ">=3.8"
+summary = "Backported and Experimental Type Hints for Python 3.8+"
+groups = ["default"]
+marker = "python_version > \"3.6\" and python_version < \"3.10\""
+files = [
+    {file = "typing_extensions-4.12.2-py3-none-any.whl", hash = "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d"},
+    {file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
+]
+
+[[package]]
+name = "tzdata"
+version = "2025.1"
+requires_python = ">=2"
+summary = "Provider of IANA time zone data"
+groups = ["default"]
+files = [
+    {file = "tzdata-2025.1-py2.py3-none-any.whl", hash = "sha256:7e127113816800496f027041c570f50bcd464a020098a3b6b199517772303639"},
+    {file = "tzdata-2025.1.tar.gz", hash = "sha256:24894909e88cdb28bd1636c6887801df64cb485bd593f2fd83ef29075a81d694"},
+]
+
+[[package]]
+name = "wcwidth"
+version = "0.2.13"
+summary = "Measures the displayed width of unicode strings in a terminal"
+groups = ["default"]
+marker = "python_version > \"3.6\" and python_version < \"3.11\""
+dependencies = [
+    "backports-functools-lru-cache>=1.2.1; python_version < \"3.2\"",
+]
+files = [
+    {file = "wcwidth-0.2.13-py2.py3-none-any.whl", hash = "sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859"},
+    {file = "wcwidth-0.2.13.tar.gz", hash = "sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5"},
+]
+
+[[package]]
+name = "zipp"
+version = "3.20.2"
+requires_python = ">=3.8"
+summary = "Backport of pathlib-compatible object wrapper for zip files"
+groups = ["default"]
+marker = "python_version < \"3.10\""
+files = [
+    {file = "zipp-3.20.2-py3-none-any.whl", hash = "sha256:a817ac80d6cf4b23bf7f2828b7cabf326f15a001bea8b1f9b49631780ba28350"},
+    {file = "zipp-3.20.2.tar.gz", hash = "sha256:bc9eb26f4506fda01b81bcde0ca78103b6e62f991b381fec825435c836edbc29"},
+]
diff --git a/pyproject.toml b/pyproject.toml
new file mode 100644
index 0000000..cabc5d4
--- /dev/null
+++ b/pyproject.toml
@@ -0,0 +1,40 @@
+[project]
+name = "qc-options-framework"
+version = "0.9.0"
+description = "Default template for PDM package"
+authors = [
+    {name = "Ciocanel Razvan", email = "chocksy@gmail.com"},
+]
+dependencies = [
+    "args",
+    "clint",
+    "contourpy",
+    "coverage",
+    "cycler",
+    "fonttools",
+    "kiwisolver",
+    "mamba",
+    "matplotlib",
+    "numpy",
+    "packaging",
+    "pandas",
+    "pillow",
+    "pyparsing",
+    "python-dateutil",
+    "pytz",
+    "quantconnect-stubs",
+    "six",
+    "tzdata",
+    "expects",
+    "pytest",
+    "mock",
+    "scipy>=1.10.0,<1.11.0",
+    "ipdb",
+]
+requires-python = "==3.8.*"
+readme = "README.md"
+license = {text = "MIT"}
+
+
+[tool.pdm]
+distribution = false
diff --git a/requirements.txt b/requirements.txt
deleted file mode 100644
index 7917a53..0000000
--- a/requirements.txt
+++ /dev/null
@@ -1,23 +0,0 @@
-args
-clint
-contourpy
-coverage
-cycler
-fonttools
-kiwisolver
-mamba
-matplotlib
-numpy
-packaging
-pandas
-pillow
-pyparsing
-python-dateutil
-pytz
-quantconnect-stubs
-six
-tzdata
-expects
-pytest
-mock
-scipy
\ No newline at end of file
diff --git a/run_tests.sh b/run_tests.sh
index 877bb15..82de037 100755
--- a/run_tests.sh
+++ b/run_tests.sh
@@ -2,7 +2,6 @@
 
 # Add both the project root and tests directory to Python path
 export PYTHONPATH="$(pwd):$(pwd)/Tests:$PYTHONPATH"
-export PIPENV_VERBOSITY=-1
 
 # Define coverage paths as arrays
 INCLUDE_PATHS=(
@@ -35,19 +34,19 @@ OMIT_STRING=$(IFS=,; echo "${OMIT_PATHS[*]}")
 # Run mamba tests
 echo "Starting mamba tests..."
 if [ "$CI" = "true" ]; then
-  pipenv run mamba Tests/specs --enable-coverage --format=junit > junit.xml
+  pdm run mamba Tests/specs --enable-coverage --format=junit > junit.xml
 else
-  pipenv run mamba Tests/specs --enable-coverage
+  pdm run mamba Tests/specs --enable-coverage
 fi
 
 # Generate coverage reports in HTML format
-pipenv run coverage html \
+pdm run coverage html \
   --include="$INCLUDE_STRING" \
   --omit="$OMIT_STRING"
 
 # Generate XML coverage only in CI environment
 if [ "$CI" = "true" ]; then
-  pipenv run coverage xml \
+  pdm run coverage xml \
     --include="$INCLUDE_STRING" \
     --omit="$OMIT_STRING"
 fi
\ No newline at end of file

From 4e95730c49399b67801bcef02e3d13036440d1d9 Mon Sep 17 00:00:00 2001
From: Ciocanel Razvan <chocksy@gmail.com>
Date: Fri, 21 Mar 2025 19:18:06 +0200
Subject: [PATCH 3/3] fix: Github actions artifact version

---
 .github/workflows/tests.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml
index d45acd1..eb8887c 100644
--- a/.github/workflows/tests.yml
+++ b/.github/workflows/tests.yml
@@ -55,7 +55,7 @@ jobs:
         
     - name: Upload coverage report artifact
       if: always()
-      uses: actions/upload-artifact@v3
+      uses: actions/upload-artifact@v4
       with:
         name: coverage-report
         path: |