In this Package we try input data and trade in stock markets base on $\color{#00D4FF}Metatrader5$

(for Now and later maybe we add other options )

Using this Package is too easy:

• Befor use you should--> pip install MetaTrader5

• and you Should install MT5 on your PC and create acount(free and easy)

Now -->
just add libraries next to your code and simply use it
Example (ReadData):

from ReadData import MetaTrader
my_obj = MetaTrader("XAUUSD", "M1",start_pos=1, count=200)
# Get Last 200 candles data From timeframe M1 and symbol 'XAUUSD'
df=my_obj.df_raw # This is a Pandas Dataframe
df.head()

we have 3 type of datafram

• df_raw
• df_raw_type1 --> this df has Low9,Low26,Low52 and High9,High26,high52
• df_type1_changed --> this is normalized and scaled data from df_raw_type1

Here is df_raw_type1:

and this is df_type1_changed:

and also we can use

my_obj.update() # This function will update the databases  
my_obj.update_last() # This function will update only last databases  

After we use our dataframes (for example in sklearn) now we need only last candles data and they here-->

my_obj.update_last()
my_obj.df_last_candle_raw

my_obj.df_last_candle_type1

my_obj.df_last_candle_type1_changed

Now its time to visualizing data

this part is easy too -->

from Visualize import plot_line,plot_candlestick
plot_line(my_obj.df_raw) # its done :D

plot_candlestick(my_obj.df_raw)

Now its time To Trade:

class trade has many fanctions like:

• order_send
• close_position
• close_sells
• close_buys
• close_all
• positions_total
• positions_total_buy
• positions_total_sell
• terminal_info

Example of using Trade:

Example (Trade):

from Trade import TradeOnMeta
MT=TradeOnMeta()
df=MT.positions_total_buy("XAUUSD")
# Get get all buy positions from symbol 'XAUUSD' --> Pandas Dataframe
MT.close_all("BITCOIN") # Close All positions in 'BITCOIN'
MT.order_send("BITCOIN",'Buy',lot=0.25, sl=12000, tp=20000) # Open Trade in 'BITCOIN'
MT.close_sells()# Close All sell position from all symbols
...

under development ...

• < we will come back soon >

Other Repositories:

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