# history_orders_get Get orders from trading history with the ability to filter by ticket or position. There are three call options. Call specifying a time interval. Return all orders falling within the specified interval. ``` history_orders_get(    date_from,                // date the orders are requested from    date_to,                  // date, up to which the orders are requested    group="GROUP"        // filter for selecting orders by symbols    ) ``` Call specifying the order ticket. Return an order with the specified ticket. ``` history_orders_get(    ticket=TICKET        // order ticket ) ``` Call specifying the position ticket. Return all orders with a position ticket specified in the [ORDER_POSITION_ID](/en/docs/constants/tradingconstants/orderproperties#enum_order_property_integer) property. ``` history_orders_get(    position=POSITION    // position ticket ) ``` Parameters date_from [in]  Date the orders are requested from. Set by the 'datetime' object or as a number of seconds elapsed since 1970.01.01. Required unnamed parameter is specified first. date_to [in]  Date, up to which the orders are requested. Set by the 'datetime' object or as a number of seconds elapsed since 1970.01.01. Required unnamed parameter is specified second. group="GROUP" [in]  The filter for arranging a group of necessary symbols. Optional named parameter. If the group is specified, the function returns only orders meeting a specified criteria for a symbol name. ticket=TICKET [in]  Order ticket that should be received. Optional parameter. If not specified, the filter is not applied. position=POSITION [in]  Ticket of a position (stored in [ORDER_POSITION_ID](/en/docs/constants/tradingconstants/orderproperties#enum_order_property_integer)) all orders should be received for. Optional parameter. If not specified, the filter is not applied. Return Value Return info in the form of a named tuple structure (namedtuple). Return None in case of an error. The info on the error can be obtained using [last_error()](/en/docs/python_metatrader5/mt5lasterror_py). Note The function allows receiving all history orders within a specified period in a single call similar to the [HistoryOrdersTotal](/en/docs/trading/historyorderstotal) and [HistoryOrderSelect](/en/docs/trading/historyorderselect) tandem. The group parameter may contain several comma separated conditions. A condition can be set as a mask using '*'. The logical negation symbol '!' can be used for an exclusion. All conditions are applied sequentially, which means conditions of including to a group should be specified first followed by an exclusion condition. For example, group="*, !EUR" means that deals for all symbols should be selected first and the ones containing "EUR" in symbol names should be excluded afterwards. Example: ``` from datetime import datetime import MetaTrader5 as mt5 import pandas as pd pd.set_option('display.max_columns', 500) # number of columns to be displayed pd.set_option('display.width', 1500)      # max table width to display # display data on the MetaTrader 5 package print("MetaTrader5 package author: ",mt5.__author__) print("MetaTrader5 package version: ",mt5.__version__) print() # establish connection to the MetaTrader 5 terminal if not mt5.initialize():     print("initialize() failed, error code =",mt5.last_error())     quit()   # get the number of orders in history from_date=datetime(2020,1,1) to_date=datetime.now() history_orders=mt5.history_orders_get(from_date, to_date, group="*GBP*") if history_orders==None:     print("No history orders with group=\"*GBP*\", error code={}".format(mt5.last_error())) elif len(history_orders)>0:     print("history_orders_get({}, {}, group=\"*GBP*\")={}".format(from_date,to_date,len(history_orders))) print()   # display all historical orders by a position ticket position_id=530218319 position_history_orders=mt5.history_orders_get(position=position_id) if position_history_orders==None:     print("No orders with position #{}".format(position_id))     print("error code =",mt5.last_error()) elif len(position_history_orders)>0:     print("Total history orders on position #{}: {}".format(position_id,len(position_history_orders)))     # display all historical orders having a specified position ticket     for position_order in position_history_orders:                 print(position_order)     print()     # display these orders as a table using pandas.DataFrame     df=pd.DataFrame(list(position_history_orders),columns=position_history_orders[0]._asdict().keys())     df.drop(['time_expiration','type_time','state','position_by_id','reason','volume_current','price_stoplimit','sl','tp'], axis=1, inplace=True)     df['time_setup'] = pd.to_datetime(df['time_setup'], unit='s')     df['time_done'] = pd.to_datetime(df['time_done'], unit='s')     print(df)   # shut down connection to the MetaTrader 5 terminal mt5.shutdown()   Result: MetaTrader5 package author:  MetaQuotes Software Corp. MetaTrader5 package version:  5.0.29   history_orders_get(2020-01-01 00:00:00, 2020-03-25 17:17:32.058795, group="*GBP*")=14   Total history orders on position #530218319: 2 TradeOrder(ticket=530218319, time_setup=1582282114, time_setup_msc=1582282114681, time_done=1582303777, time_done_msc=1582303777582, time_expiration=0, ... TradeOrder(ticket=535548147, time_setup=1583176242, time_setup_msc=1583176242265, time_done=1583176242, time_done_msc=1583176242265, time_expiration=0, ...         ticket          time_setup  time_setup_msc           time_done  time_done_msc  type  type_filling  magic  position_id  volume_initial  price_open  price_current  symbol comment external_id 0  530218319 2020-02-21 10:48:34   1582282114681 2020-02-21 16:49:37  1582303777582     2             2      0    530218319            0.01     0.97898        0.97863  USDCHF                     1  535548147 2020-03-02 19:10:42   1583176242265 2020-03-02 19:10:42  1583176242265     1             0      0    530218319            0.01     0.95758        0.95758  USDCHF    ``` See also [history_deals_total](/en/docs/python_metatrader5/mt5historydealstotal_py), [history_deals_get](/en/docs/python_metatrader5/mt5historydealsget_py)