diff --git a/src/aiomql/lib/candle.py b/src/aiomql/lib/candle.py
index da3ab59..7cbdeb1 100644
--- a/src/aiomql/lib/candle.py
+++ b/src/aiomql/lib/candle.py
@@ -1,12 +1,12 @@
 """Candle and Candles classes for handling bars from the MetaTrader 5 terminal."""
 
-import time
+from datetime import datetime
 from typing import Type, Self, Iterable
 from logging import getLogger
 
-from pandas import DataFrame, Series
 import pandas as pd
 import pandas_ta as ta
+from pandas import DataFrame, Series, DatetimeIndex, Timestamp
 
 from ..core.constants import TimeFrame
 
@@ -18,17 +18,18 @@ class Candle:
     Candlesticks. You can subclass this class for added customization.
 
     Attributes:
-        time (int): Period start time.
-        open (int): Open price
+        time (float): Period start time.
+        open (float): Open price
         high (float): The highest price of the period
         low (float): The lowest price of the period
         close (float): Close price
         tick_volume (float): Tick volume
         real_volume (float): Trade volume
         spread (float): Spread
-        Index (int): Custom attribute representing the position of the candle in a sequence.
+        index (Timestamp): Index of the object in the DataFrame, a timestamp
+        Index (int): Custom attribute representing the position of the candle for integer-location based indexing
     """
-    time: int
+    time: float
     open: float
     high: float
     low: float
@@ -36,6 +37,7 @@ class Candle:
     real_volume: float
     spread: float
     tick_volume: float
+    index: Timestamp
     Index: int
 
     def __init__(self, **kwargs):
@@ -47,8 +49,9 @@ class Candle:
         """
         if not all(i in kwargs for i in ["open", "high", "low", "close"]):
             raise ValueError("Candle must be instantiated with open, high, low and close prices")
-        self.time = kwargs.pop("time", int(time.time()))
+        self.time = kwargs.pop("time", Timestamp.now().timestamp())
         self.Index = kwargs.pop("Index", 0)
+        self.index = kwargs.pop("index", Timestamp(self.time, unit="s", tz=datetime.now().astimezone().tzinfo))
         self.real_volume = kwargs.pop("real_volume", 0)
         self.spread = kwargs.pop("spread", 0)
         self.tick_volume = kwargs.pop("tick_volume", 0)
@@ -56,7 +59,7 @@ class Candle:
 
     def __repr__(self):
         return (
-            "%(class)s(Index=%(Index)s, time=%(time)s, open=%(open)s, high=%(high)s, low=%(low)s, close=%(close)s)"
+            "%(class)s(Index=%(Index)s, time=%(time)s, open=%(open)s, high=%(high)s, low=%(low)s, close=%(close)s, index=%(index)s)"
             % {
                 "class": self.__class__.__name__,
                 "open": self.open,
@@ -64,6 +67,7 @@ class Candle:
                 "low": self.low,
                 "close": self.close,
                 "time": self.time,
+                "index": self.index.isoformat(),
                 "Index": self.Index,
             }
         )
@@ -131,13 +135,18 @@ class Candle:
         keys = include or set(self.__dict__.keys()).difference(exclude)
         return {k: v for k, v in self if k in keys}
 
+    def to_series(self) -> Series:
+        """Returns a Series Object"""
+        return Series(self.dict(exclude={"Index", "index"}))
+
 
 class Candles:
     """An iterable container class of Candle objects in chronological order.
 
     Attributes:
-        Index (Series['int']): A pandas Series of the indexes of all candles in the object.
-        time (Series['int']): A pandas Series of the time of all candles in the object.
+        index (DatetimeIndex): DatetimeIndex of the DataFrame object.
+        Index (Series['int']): A pandas Series of the indexes of all candles in the object:
+        time (Series['float']): A pandas Series of the time of all candles in the object.
         open (Series[float]): A pandas Series of the opening price of all candles in the object.
         high (Series[float]): A pandas Series of the high price of all candles in the object.
         low (Series[float]):  A pandas Series of the low price of all candles in the object.
@@ -155,7 +164,7 @@ class Candles:
         The candle class can be customized by subclassing the Candle class and passing the subclass as the candle
          keyword argument, or defining it on the class body as a class attribute.
     """
-
+    index: DatetimeIndex
     Index: Series
     time: Series
     open: Series
@@ -189,18 +198,20 @@ class Candles:
             raise ValueError(f"Cannot create DataFrame from object of {type(data)}")
 
         self._data = data.loc[::-1] if flip else data
-        if 'time' in self._data.columns and self._data.index.name != 'time':
-            self._data.set_index('time', inplace=True, drop=False)
+        if 'time' in self._data.columns:
+            dtype = pd.DatetimeTZDtype(unit='s', tz=datetime.now().astimezone().tzinfo)
+            self._data.index = pd.DatetimeIndex(self._data.time, dtype=dtype)
+
         self.Candle = candle_class or Candle
 
     def __repr__(self):
-        return self._data.__repr__()
+        return repr(self._data)
 
     def __len__(self):
         return len(self._data.index)
 
     def __contains__(self, item: Candle):
-        return item.time == self._data.loc[int(item.time)].time
+        return item.time == self[item.Index].time
 
     def __getitem__(self, index: slice | int | str) -> Self | Series | Candle:
         if isinstance(index, slice):
@@ -208,15 +219,18 @@ class Candles:
             data = self._data.iloc[index]
             return cls(data=data)
 
-        elif isinstance(index, str):
+        if isinstance(index, str):
+            if index == "index":
+                return self._data.index
             if index == "Index":
-                return Series(self._data.index)
+                return Series(range(len(self._data)))
             return self._data[index]
 
-        elif isinstance(index, int):
+        if isinstance(index, int):
             candle = self._data.iloc[index]
-            _index = index if index >= 0 else len(self) + index
-            return self.Candle(**candle, Index=_index)
+            Index = index if index >= 0 else len(self) + index
+            _index = self._data.index[index]
+            return self.Candle(**candle, Index=Index, index=_index)
         raise TypeError(f"Expected int, slice or str got {type(index)}")
 
     def __setitem__(self, index, value: Series):
@@ -229,13 +243,27 @@ class Candles:
         if item in self._data.columns:
             return self._data[item]
 
+        if item == "index":
+            return self._data.index
+
         if item == "Index":
-            return Series(self._data.index)
+            return Series(range(len(self._data)))
         raise AttributeError(f"Attribute {item} not defined on class {self.__class__.__name__}")
 
+    def __reversed__(self):
+        for index, row in enumerate(iter(self._data[::-1].iloc)):
+            row = row.to_dict()
+            index = len(self._data) - index - 1
+            row["Index"] = index
+            row["index"] = self._data.index[index]
+            yield self.Candle(**row)
+
     def __iter__(self):
-        return (self.Candle(**row.to_dict(), Index=ind) for ind, row in enumerate(self._data.iloc))
-        # return (self.Candle(**row._asdict()) for row in self._data.itertuples())
+        for index, row in enumerate(iter(self._data.iloc)):
+            row = row.to_dict()
+            row["Index"] = index
+            row["index"] = self._data.index[index]
+            yield self.Candle(**row)
 
     @property
     def timeframe(self):
@@ -282,39 +310,39 @@ class Candles:
         res = self._data.rename(columns=kwargs, inplace=inplace)
         return self if inplace else self.__class__(data=res)
 
-    def __iadd__(self, row: DataFrame | Series):
-        """Add a new row to the candles class."""
-        # self._data = pd.concat([self._data, row])
-        if isinstance(row, Series):
-            self._data.loc[int(row.time)] = row
-
-        elif isinstance(row, DataFrame):
-            for r in row.iloc:
-                self._data.loc[int(r.time)] = r
-
+    def __iadd__(self, other: Self) -> Self:
+        """Perform in place addition of candles"""
+        data_copy = self._data.copy()
+        other = other._data
+        for index, row in zip(other.index, iter(other.iloc)):
+            data_copy.loc[index] = row
+        self._data = data_copy.sort_index()
         return self
 
-    def __add__(self, row: DataFrame | Series):
-        """Add a new row to the candles class."""
-        if isinstance(row, Series):
-            data = self. pd.concat([self._data, pd.DataFrame(row).T])
-            return self.__class__(data=data)
+    def __add__(self, other: Self) -> Self:
+        """Add two candles object and return a new one"""
+        data = self._data.copy()
+        for index, row in zip(other._data.index, iter(other._data.iloc)):
+            data.loc[index] = row
+        return self.__class__(data=data.sort_index())
 
-        elif isinstance(row, DataFrame):
-            data = pd.concat([self._data, row])
-            return self.__class__(data=data)
-
-    def add(self, row: DataFrame | Series) -> bool:
-        """Add a new row to the candles class."""
-        new = True
-        if isinstance(row, Series):
-            if (index := int(row.time)) in self._data.index:
-                new = False
-            self._data.loc[index] = row
-
-        elif isinstance(row, DataFrame):
-            for r in row.iloc:
-                if (index := int(r.time)) in self._data.index:
-                    new = False
-                self._data.loc[index] = r
-        return new
+    def add(self, obj: DataFrame | Series | Candle) -> Self:
+        """Add new row(s) to the candles class."""
+        if isinstance(obj, Series):
+            index = Timestamp(obj.time, unit="s", tz=datetime.now().astimezone().tzinfo)
+            self._data.loc[index] = obj
+            self._data = self._data.sort_index()
+            return self
+        elif isinstance(obj, DataFrame):
+            data = self._data.copy()
+            for index, row in zip(obj.index, iter(obj.iloc)):
+                index = index if isinstance(index, Timestamp) else Timestamp(row.time, unit="s", tz=datetime.now().astimezone().tzinfo)
+                data.loc[index] = row
+            self._data = data.sort_index()
+            return self
+        elif isinstance(obj, Candle):
+            self._data.loc[obj.index] = obj.to_series()
+            self._data = self._data.sort_index()
+            return self
+        else:
+            raise TypeError("Expected Series, DataFrame or Candle, got {}".format(type(obj)))
diff --git a/src/aiomql/lib/symbol.py b/src/aiomql/lib/symbol.py
index 2f11ef1..8387c65 100644
--- a/src/aiomql/lib/symbol.py
+++ b/src/aiomql/lib/symbol.py
@@ -63,7 +63,7 @@ class Symbol(_Base, SymbolInfo):
             if tick is not None:
                 tick = Tick(**tick._asdict())
                 setattr(self, "tick", tick) if not name else ...
-                return tick
+            return tick
         except Exception as err:
             logger.warning("%s: Unable to get tick for %s", err, self.name)
             return None
@@ -92,7 +92,7 @@ class Symbol(_Base, SymbolInfo):
         info = await self.mt5.symbol_info(self.name)
         if info is not None:
             info = info._asdict()
-            # self.set_attributes(**info)
+            self.set_attributes(**info)
             return SymbolInfo(**info)
         return None
 
@@ -100,7 +100,7 @@ class Symbol(_Base, SymbolInfo):
         """Initialize the symbol by pulling properties from the terminal
 
         Returns:
-             bool: Returns True if symbol info was successful initialized
+             bool: Returns True if symbol info was successfully initialized
         """
         try:
             select = await self.mt5.symbol_select(self.name, True)
@@ -229,7 +229,7 @@ class Symbol(_Base, SymbolInfo):
         """
         return self.volume_min
 
-    async def convert_currency(self, *, amount: float, from_currency: str, to_currency: str) -> float:
+    async def convert_currency(self, *, amount: float, from_currency: str, to_currency: str) -> float | None:
         """Convert a given amount from one currency to the other.
         Args:
             amount: Amount to convert
@@ -245,10 +245,10 @@ class Symbol(_Base, SymbolInfo):
 
             pair = f"{base}{quote}"
             tick = await self.info_tick(name=pair)
-            if tick is not None:
-                return round(amount / tick.ask, 2)
+            return round(amount / tick.ask, 2)
         except Exception as err:
             logger.warning(f"{err}: Currency conversion failed: Unable to convert {amount} in {quote} to {base}")
+            return None
 
     @backoff_decorator
     async def copy_rates_from(self, *, timeframe: TimeFrame, date_from: datetime | int, count: int = 500) -> Candles:
diff --git a/src/aiomql/lib/ticks.py b/src/aiomql/lib/ticks.py
index 820ea80..510ab2d 100644
--- a/src/aiomql/lib/ticks.py
+++ b/src/aiomql/lib/ticks.py
@@ -1,8 +1,9 @@
 """Module for working with price ticks."""
 
 from typing import Iterable, Self
-import time
+from datetime import datetime
 
+import pandas as pd
 from pandas import DataFrame, Series
 import pandas_ta as ta
 
@@ -23,7 +24,6 @@ class Tick:
         volume_real (float): Volume for the current Last price
         Index (int): Custom attribute representing the position of the tick in a sequence.
     """
-
     time: float
     bid: float
     ask: float
@@ -32,6 +32,7 @@ class Tick:
     time_msc: float
     flags: TickFlag
     volume_real: float
+    index: int | float
     Index: int
 
     def __init__(self, **kwargs):
@@ -39,14 +40,15 @@ class Tick:
         present"""
         if not all(key in kwargs for key in ["bid", "ask", "last", "volume"]):
             raise ValueError("bid, ask, last and volume, time must be present in the keyword arguments")
+        self.time = kwargs.pop("time", datetime.now().timestamp())
+        self.time_msc = kwargs.pop("time_msc", self.time * 1000)
         self.Index = kwargs.pop("Index", 0)
-        self.time = kwargs.pop("time", time.monotonic())
-        self.time_msc = int(self.time * 1000)
+        self.index = kwargs.pop("index", self.time_msc)
         self.set_attributes(**kwargs)
 
     def __repr__(self):
         return (
-            "%(class)s(Index=%(Index)s, time=%(time)s, bid=%(bid)s, ask=%(ask)s, last=%(last)s, volume=%(volume)s)"
+            "%(class)s(Index=%(Index)s, time=%(time)s, bid=%(bid)s, ask=%(ask)s, last=%(last)s, volume=%(volume)s, index=%(index)s)"
             % {
                 "class": self.__class__.__name__,
                 "time": self.time,
@@ -54,18 +56,19 @@ class Tick:
                 "ask": self.ask,
                 "last": self.last,
                 "volume": self.volume,
+                "index": self.index,
                 "Index": self.Index,
             }
         )
 
     def __eq__(self, other: Self):
-        return self.time == other.time
+        return self.time_msc == other.time_msc
 
     def __lt__(self, other: Self):
-        return self.time < other.time
+        return self.time_msc < other.time_msc
 
     def __hash__(self):
-        return hash(self.time)
+        return hash(self.time_msc)
 
     def __getitem__(self, item):
         return self.__dict__[item]
@@ -102,10 +105,12 @@ class Tick:
         for key, value in kwargs.items():
             setattr(self, key, value)
 
+    def to_series(self) -> pd.Series:
+        """Returns a Series Object"""
+        return Series(self.dict(exclude={"Index", "index"}))
 
 class Ticks:
     """Container class for price ticks. Arrange in chronological order. Supports iteration, slicing and assignment"""
-
     time: Series
     bid: Series
     ask: Series
@@ -115,6 +120,7 @@ class Ticks:
     flags: Series
     volume_real: Series
     Index: Series
+    index: Series
 
     def __init__(self, *, data: DataFrame | Iterable | Self, flip=False):
         """Initialize the Ticks class. Creates a DataFrame of price ticks from the data argument.
@@ -134,8 +140,11 @@ class Ticks:
             raise ValueError(f"Cannot create DataFrame from object of {type(data)}")
         self._data = data.iloc[::-1] if flip else data
 
+        if 'time_msc' in self._data.columns:
+            self._data.index = self._data.time_msc
+
     def __repr__(self):
-        return self._data.__repr__()
+        return repr(self._data)
 
     def __len__(self):
         return self._data.shape[0]
@@ -146,20 +155,34 @@ class Ticks:
     def __getattr__(self, item):
         if item in list(self._data.columns.values):
             return self._data[item]
+
+        if item == "index":
+            return self._data.index
+
+        if item == "Index":
+            return Series(range(len(self._data)))
         raise AttributeError(f"Attribute {item} not defined on class {self.__class__.__name__}")
 
     def __getitem__(self, index) -> Tick | Self:
         if isinstance(index, slice):
             cls = self.__class__
             data = self._data.iloc[index]
-            data.reset_index(drop=True, inplace=True)
             return cls(data=data)
 
         if isinstance(index, str):
+            if index == "index":
+                return self._data.index
+            if index == "Index":
+                return Series(range(len(self._data)))
             return self._data[index]
 
-        item = self._data.iloc[index]
-        return Tick(**item, Index=index)
+        if isinstance(index, int):
+            tick = self._data.iloc[index]
+            Index = index if index >= 0 else len(self) + index
+            _index = self._data.index[index]
+            return Tick(**tick, Index=Index, index=_index)
+
+        raise TypeError(f"Expected int, slice or str got {type(index)}")
 
     def __setitem__(self, index, value: Series):
         if isinstance(value, Series):
@@ -167,8 +190,20 @@ class Ticks:
             return
         raise TypeError(f"Expected Series got {type(value)}")
 
+    def __reversed__(self):
+        for index, row in enumerate(iter(self._data[::-1].iloc)):
+            row = row.to_dict()
+            index = len(self._data) - index - 1
+            row["Index"] = index
+            row["index"] = self._data.index[index]
+            yield Tick(**row)
+
     def __iter__(self):
-        return (Tick(**row._asdict()) for row in self._data.itertuples())
+        for index, row in enumerate(iter(self._data.iloc)):
+            row = row.to_dict()
+            row["Index"] = index
+            row["index"] = self._data.index[index]
+            yield Tick(**row)
 
     @property
     def ta(self):
@@ -206,3 +241,39 @@ class Ticks:
         """
         res = self._data.rename(columns=kwargs, inplace=inplace)
         return res if inplace else self.__class__(data=res)
+
+    def __iadd__(self, other: Self) -> Self:
+        """Perform in place addition of candles"""
+        data_copy = self._data.copy()
+        other = other._data
+        for index, row in zip(other.index, iter(other.iloc)):
+            data_copy.loc[index] = row
+        self._data = data_copy.sort_index()
+        return self
+
+    def __add__(self, other: Self) -> Self:
+        """Add two candles object and return a new one"""
+        data = self._data.copy()
+        for index, row in zip(other._data.index, iter(other._data.iloc)):
+            data.loc[index] = row
+        return self.__class__(data=data.sort_index())
+
+    def add(self, obj: DataFrame | Series | Tick) -> Self:
+        """Add new row(s) to the candles class."""
+        if isinstance(obj, Series):
+            self._data.loc[obj.index] = obj
+            self._data = self._data.sort_index()
+            return self
+        elif isinstance(obj, DataFrame):
+            data = self._data.copy()
+            for index, row in zip(obj.index, iter(obj.iloc)):
+                index = index
+                data.loc[index] = row
+            self._data = data.sort_index()
+            return self
+        elif isinstance(obj, Tick):
+            self._data.loc[obj.index] = obj.to_series()
+            self._data = self._data.sort_index()
+            return self
+        else:
+            raise TypeError("Expected Series, DataFrame or Candle, got {}".format(type(obj)))
diff --git a/tests/live/unit/test_candles.py b/tests/live/unit/test_candles.py
index 331526b..f44c8a0 100644
--- a/tests/live/unit/test_candles.py
+++ b/tests/live/unit/test_candles.py
@@ -1,8 +1,9 @@
 from datetime import datetime
 
 import pytest
-import pytz
 import pandas as pd
+from pandas import Series
+
 from aiomql.lib.candle import Candle, Candles
 from aiomql.core.meta_trader import MetaTrader
 from aiomql.core.constants import TimeFrame
@@ -11,8 +12,8 @@ from aiomql.core.constants import TimeFrame
 class TestCandle:
     @classmethod
     def setup_class(cls):
-        cls.bullish_candle = Candle(open=1.3421, high=1.3462, low=1.3405, close=1.3452, time=0, Index=0)
-        cls.bearish_candle = Candle(open=1.3452, high=1.3405, low=1.3462, close=1.3421, time=1, Index=1)
+        cls.bullish_candle = Candle(open=1.3421, high=1.3462, low=1.3405, close=1.3452)
+        cls.bearish_candle = Candle(open=1.3452, high=1.3405, low=1.3462, close=1.3421)
 
     def test_repr(self):
         repr_str = repr(self.bearish_candle)
@@ -48,6 +49,10 @@ class TestCandle:
         assert self.bearish_candle.is_bearish()
         assert self.bullish_candle.is_bullish()
 
+    def test_to_series(self):
+        ser = self.bearish_candle.to_series()
+        assert isinstance(ser, Series)
+
 
 class TestCandles:
     @pytest.fixture(scope="class")
@@ -57,6 +62,13 @@ class TestCandles:
         rates = await mt.copy_rates_from("BTCUSD", mt.TIMEFRAME_H1, start, 200)
         return Candles(data=rates)
 
+    @pytest.fixture(scope="class")
+    async def candles_2(self):
+        mt = MetaTrader()
+        start = datetime(day=5, month=10, year=2023)
+        rates = await mt.copy_rates_from("BTCUSD", mt.TIMEFRAME_H1, start, 300)
+        return Candles(data=rates)
+
     def test_get_series(self, candles):
         series = candles["open"]
         assert isinstance(series, pd.Series)
@@ -102,3 +114,35 @@ class TestCandles:
         assert isinstance(fas, pd.Series)
         candles["fas"] = fas
         assert "fas" in candles.data.columns
+
+    def test_add_candles(self, candles, candles_2):
+        nc = candles + candles_2
+        candles += candles_2
+        assert len(nc) == 300
+        assert len(candles) == 300
+
+    def test_add_candle(self, candles):
+        length = len(candles)
+        candle = candles[-1]
+        now = datetime.now()
+        candle.time = now.timestamp()
+        candle.index = pd.Timestamp(candle.time, unit="s", tz=now.astimezone().tzinfo)
+        candles.add(candle)
+        assert len(candles) == length + 1
+
+    def test_add_series(self, candles):
+        candle = candles[-1]
+        length = len(candles)
+        now = datetime.now()
+        candle.time = now.timestamp()
+        series = candle.to_series()
+        candles.add(series)
+        assert len(candles) == length + 1
+
+    def test_add_dataframe(self, candles, candles_2):
+        df = candles_2._data.iloc[0:3]
+        now = datetime.now()
+        df.index = pd.DatetimeIndex(df.time, tz=now.astimezone().tzinfo)
+        length = len(candles)
+        candles.add(df)
+        assert len(candles) == length + len(df)
diff --git a/tests/live/unit/test_symbol.py b/tests/live/unit/test_symbol.py
index 40a049f..23744bb 100644
--- a/tests/live/unit/test_symbol.py
+++ b/tests/live/unit/test_symbol.py
@@ -11,8 +11,7 @@ class TestSymbol:
     @pytest.fixture(scope="class", autouse=True)
     async def btc(self):
         symbol = Symbol(name="BTCUSD")
-        select = getattr(symbol, "select", False)
-        if select is False:
+        if symbol.initialized is False:
             await symbol.initialize()
         return symbol