Integration of Python with MT4/MT5

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Please help me regarding the integration of Python with Mt4/Mt5 ?

Please provide info regarding the codes to link Python with Metatrader.....

 
You can use the search function on the top right there are several topics about it.
 

There is one thread in rus part of the forum: Making a Python trading system for Metatrader 
It is one of the last post on the thread - 

Forum on trading, automated trading systems and testing trading strategies

Making a trading system in Python for MT.

Yuriy Asaulenko , 2019.02.09 19:01

Finally mastered the layout of graphics in Python. Oh, it is hard to swim in hydrochloric acid to master matplotlib package.

Here is the result on the chart:

I like.)

And here is the code: 

import MyPack.Filters as flt
import TSClasses as tsc
import matplotlib.pyplot as plt
#import numpy as np
# from scipy.stats import randint

#rv=randint.rvs( 0 , 10 ,size= 10 )

# чтение данных из БД
DB= 'csvdb1.db'
Ticker= 'SPFB.SBRF-9.18'
c=flt.cCandle()

SD=tsc.StockData(DB,
                 Ticker)
rdb=SD.rdb  
F8=SD.F8
F16=SD.F16
F32=SD.F32
F150=SD.F150
rd=SD.rdb
Dev=SD.Dev
Stoch=SD.Stoch

# определение диапазона значений по оси х
Ib= 1500
Ie=Ib+ 150

# подготовка данных для графиков
I=[i for i in range(Ib,Ie)]
Hist=[rdb.history[i][c.c] for i in I]
f8=[F8[i] for i in I]
f16=[F16[i] for i in I]
f32=[F32[i] for i in I]
f150=[F150[i] for i in I]
Devp=[F150[i]+Dev[i] for i in I]
Devm=[F150[i]-Dev[i] for i in I]
Kpb=[Stoch[ 0 ][i] for i in I]
Dpb=[Stoch[ 1 ][i] for i in I]

# построение графиков
#fig, axs = plt.subplots( 2 , 1 ,figsize=( 10.0 , 5 ))

fig = plt.figure(figsize=( 10 , 6.5 ))
axs1 = plt.subplot2grid(( 3 , 1 ), ( 0 , 0 ),rowspan= 2 ,fig=fig)
axs2 = plt.subplot2grid(( 3 , 1 ), ( 2 , 0 ), rowspan= 1 ,fig=fig)

axs1.plot(I,Hist, label= 'Hist' )
axs1.plot(I,f8,label= 'F8' )
axs1.plot(I,f16,label= 'F16' )
axs1.plot(I,f32,label= 'F32' )
axs1.plot(I,f150,label= 'F150' )
axs1.plot(I,Devp)
axs1.plot(I,Devm)
axs1.legend()
axs1.set_xticks(range(Ib,Ie+ 10 , 10 ))
axs1.grid(True, which= 'both' )

axs2.plot(I,Kpb, label= 'F' )
axs2.plot(I,Dpb, label= 'S' )
axs2.set_xticks(range(Ib,Ie+ 10 , 10 ))
axs2.legend()
axs2.grid(True)

plt.show()

The code is given in its entirety, but I don’t provide any data, it is impossible - it will be necessary by myself. Need to use only # graphing. Other, just for understanding - what, where and from where.

I do not write comments as usual, but it will be easier for you to deal with ready copies.

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