a tester

Bourse.py

@@ -1,210 +0,0 @@
-import random
-from LectureDonne import get_closing_price_at_date
-
-nbCouche0 = (30*41)
-nbCouche1 = 
-nbCouche2 = 
-nbCouche3 = 
-nbCouche4 = 40
-
-weight1=[]
-weight2=[]
-weight3=[]
-weight4=[]
-
-couche1=[]
-couche2=[]
-couche3=[]
-couche4=[]
-
-PortefeuilleInit = 20000
-liste_fichiers = []
-
-"""
-qui genere un tableau de 30 nombre random (-1,1) appeler generatePoids
-
-"""
-def generatePoids():
-    poids = [random.uniform(-1, 1) for _ in range(30)]
-    return poids
-
-"""
-un tableau de nb*30 nombre random de (0, nbinf) appel genereateCouche 
-"""
-def generateCouche(nb, nbinf):
-    couche = [random.uniform(0, nbinf) for _ in range(nb*30)]
-    return couche
-
-
-"""
-fonction qui s'appel lireValeur(date) est qui pour chaque ligne d'un fichier vient lire avec la fonction get_closing_price_at_date(stock_symbole,date) avec stock_symbole dans la ligne du fichier de cette maniere(nom:stock_symbole)
-renvoie un tableau de toute les valeur lue
-"""
-"""
-def lireValeur(date):
-    tableau_valeurs = []
-
-    with open("valeur.txt", "r") as fichier:
-        for ligne in fichier:
-            nom, stock_symbole = ligne.strip().split(":")
-            valeur = get_closing_price_at_date(stock_symbole, date)
-            tableau_valeurs.append(valeur)
-
-    return tableau_valeurs
-
-"""
-
-
-"""
-fonction qui s'appel lirefichier qui pour une date donne vient lire dans tout les fichier de la liste fichier, les 30 valeurs précedent la date: les fichier sont ecrit date : valeurs
-et qui pondere les valeurs de -1 a 1 en fonction de la premiere valeurs
-et renvoie aussi un tableau avec les valeurs de la date de tout les fichier
-"""
-def lirefichier(date):
-    valeurs_ponderees = []
-    valeurs_date = []
-    
-    for fichier in liste_fichiers:
-        with open(fichier, 'r') as file:
-            lignes = file.readlines()
-            
-            for ligne in lignes:
-                if ligne.startswith(date):
-                    index_date = lignes.index(ligne)
-                    valeurs_precedentes = [float(val) for val in lignes[index_date-30:index_date]]
-                    
-                    if valeurs_precedentes:
-                        premiere_valeur = valeurs_precedentes[0]
-                        valeurs_ponderees.append([(val - premiere_valeur) / premiere_valeur for val in valeurs_precedentes])
-                    
-                    valeurs_date.append(float(ligne.split(":")[1]))
-                    break
-    
-    return valeurs_ponderees, valeurs_date
-
-def processingCouche(nbcouche,coucheinf,poids,couche):
-    res = []
-    for i in nbcouche :
-        r = 0
-        for y in range(0,30):
-            r+ = coucheinf[couche[i*30+y]]*poids[y]
-        res.append(r)
-    
-def processing(val):
-    R1=processingCouche(nbCouche1,val,weight1,couche1)
-    R2=processingCouche(nbCouche2,R1,weight2,couche2)
-    R3=processingCouche(nbCouche3,R2,weight3,couche3)
-    return processingCouche(nbCouche4,R3,weight4,couche4)
-    
-"""
-fonction Evaluation en parametre un nombre (res), un nombre (valeur), un nombre (action), un nombre (portefeuille)
-    si res >0.90 & portefeuille > 2003.9 => retourn action += 2000/valeur et Portefeuille -2003.9
-    si res <0.90 et > 0.75 & portefeuille > 1003.9 => retourn action += 1000/valeur et Portefeuille -1003.9
-    si res >0.5 et < 0.75  & portefeuille > 503.9 => retourn action += 500/valeur et Portefeuille -503.9
-    Inferieur a -0.5 retourn portefeuille += action*valeur -3.9 et action = 0 
-"""
-def evaluation(res, valeur, action, portefeuille):
-    if res > 0.90 and portefeuille > 2003.9:
-        action += 2000 / valeur
-        portefeuille -= 2003.9
-    elif res < 0.90 and res > 0.75 and portefeuille > 1003.9:
-        action += 1000 / valeur
-        portefeuille -= 1003.9
-    elif res > 0.5 and res < 0.75 and portefeuille > 503.9:
-        action += 500 / valeur
-        portefeuille -= 503.9
-    elif res < -0.5:
-        portefeuille += action * valeur - 3.9
-        action = 0
-    return action, portefeuille
-   
-   
-
-def verification(valeurs_date, Action, portefeuille):
-    for i in range(len(Action)):
-        portefeuille += Action[i] * valeurs_date[i]
-     
-    pourc = portefeuille/PortefeuilleInit
-    print("Total : ",portefeuille)
-    println(" soit" ,pourc)
-    return pourc
-
-"""
-Fonction enregistre qui enregistre dans un fichier dont le nom est composé de la varible nbtour - la variable pourcent:
-les tableau (nouvelle ligne a chaque tableau) weight1,weight2,weight3,weight4,couche1,couche2,couche3,couche4
-"""
-def enregistre(nbtour, pourcent):
-    nom_fichier = str(nbtour) + "-" + str(pourcent) + ".txt"
-
-    with open(nom_fichier, 'w') as fichier:
-        fichier.write("weight1: " + str(weight1) + "\n")
-        fichier.write("weight2: " + str(weight2) + "\n")
-        fichier.write("weight3: " + str(weight3) + "\n")
-        fichier.write("weight4: " + str(weight4) + "\n")
-        fichier.write("couche1: " + str(couche1) + "\n")
-        fichier.write("couche2: " + str(couche2) + "\n")
-        fichier.write("couche3: " + str(couche3) + "\n")
-        fichier.write("couche4: " + str(couche4) + "\n")
-
-nbtour=0
-while(1):	
-    
-    Portfeuille = PortefeuilleInit
-    pourc = 0
-    Action = [0] * 40
-    
-    weight1 = generatePoids()
-    weight2 = generatePoids()
-    weight3 = generatePoids()
-    weight4 = generatePoids()
-    
-    if 1 :
-        print("================Weight==============================="+ "\n")
-        print(weight1)
-        print(weight2)
-        print(weight3)
-        print(weight4)
-        print("================================================"+ "\n")
-        
-    couche1 = generateCouche(nbCouche1,nbCouche0)
-    couche2 = generateCouche(nbCouche2,nbCouche1)
-    couche3 = generateCouche(nbCouche3,nbCouche2)
-    couche4 = generateCouche(nbCouche4,nbCouche3)
-    
-    if 1:
-        print("================Couche==============================="+ "\n")
-        print(couche1)
-        print(couche2)
-        print(couche3)
-        print(couche4)
-        print("================================================"+ "\n")
-    
-    print("tour: ",nbtour)
-    nbtour+=1
-    
-    with open("date.txt", "r") as file: #le date.txt est modifier pour commencer 30 jours apres
-        dates = file.readlines()
-
-        for date in dates:
-            if 1:
-                print("================date==============================="+ "\n")
-                print(date)
-                print("================================================"+ "\n")
-            date = date.strip()
-            valeurs_ponderees, valeurs_date = lirefichier(date)
-            print("================valeurs_ponderees==============================="+ "\n")
-            print(valeurs_ponderees)
-            print("================================================"+ "\n")
-            print("================valeurs_date==============================="+ "\n")
-            print(valeurs_date)
-            print("================================================"+ "\n")
-            res = processing(valeurs_ponderees)
-            for i in range(0,40)
-                Action[i],Portefeuille=Evaluation(res[i], valeurs_date[i], Action[i], Portfeuille)
-            pourc = verification(valeurs_date,Action,portfeuille)
-            if pourc < 0.99:
-                break
-        if pourc > 1:
-            enregistre(nbtour,pourc)
-        
-

Documents/.~lock.libelles.csv_1.ods#

@@ -1 +0,0 @@
-,remy,lemien,25.03.2020 17:13,file:///home/remy/.config/libreoffice/4;

Src/Action.py

@@ -1,92 +0,0 @@
-# -*- coding: utf-8 -*-
-
-from define import *
-import os.path
-import ast
-
-class Action():
-	
-	def __init__(self,ID):
-
-		self.add = ID.split(";")[1]
-		self.name = ID.split(";")[0]
-		self.path = D_file + "valeurs/"
-
-		self.Journee = {}
-		
-		self.valeur = 0
-		self.valref = 0
-		
-		#nombre d'action
-		self.possedent = 0
-		#Total de l'argent dépenser pour l'achat des actions
-		self.valeurAchat = 0 
-
-		#NBNeurone par action
-		self.Tab = [1]*NBNeurone
-
-		self.chaleur = 0
-
-	def MajQuotidient(self,date):
-		name=self.path+self.name+"-"+date
-		F_Journee = open(name,"r")
-		self.Journee = ast.literal_eval(F_Journee.readline())
-		Quoti = ast.literal_eval(F_Journee.readline())
-		self.valref = float(Quoti["1semaine"][1])
-		# ~ self.Tab[0]=float(Quoti["1semaine"][0].strip("%"))/100
-		# ~ self.Tab[1]=float(Quoti["1mois"][0].strip("%"))/100
-		# ~ self.Tab[2]=float(Quoti["3mois"][0].strip("%"))/100
-		# ~ self.Tab[3]=float(Quoti["6mois"][0].strip("%"))/100
-		# ~ self.Tab[4]=float(Quoti["1an"][0].strip("%"))/100
-		# ~ _3ans=Quoti["3ans"][0].strip("%")
-		# ~ if (_3ans != '-'):
-			# ~ self.Tab[5]=float(_3ans)/100
-		# ~ _5ans=Quoti["5ans"][0].strip("%")
-		# ~ if (_5ans != '-'):
-			# ~ self.Tab[6]=float(_5ans)/100
-		# ~ _10ans=Quoti["10ans"][0].strip("%")
-		# ~ if (_10ans != '-'):
-			# ~ self.Tab[7]=float(_10ans)/100
-		
-		#Plus tard ajout des NM ... 
-		#self.Tab[0]=Quoti["MM20"]
-		#self.Tab[0]=Quoti["MM50"]
-		#self.Tab[0]=Quoti["MM100"]
-		#self.Tab[0]=Quoti["RSI14"]
-		
-	
-	def Maj1min(self,heure):
-		print(heure)
-		val=self.Journee.get(heure)
-		while (val == None):			
-			heure = minute[minute.index(heure)+1]
-			self.valeur=self.Journee.get(heure)
-		# ~ self.Tab.insert(NBInfoSupplementaire,val/self.valref)
-		self.Tab.insert(0,self.valeur/self.valref)
-		self.Tab=self.Tab[0:-1]
-		
-			
-
-	def getTable(self):
-		return self.Tab
-	
-	def getValue(self):
-		return self.valeur * self.possedent
-		
-	def MAJchaleur(self,pour):
-		self.chaleur = pour
-	
-	def Surveillance(self,Portefeuille,Frais):
-		if self.chaleur > 1.5 and self.possedent==0:
-			print ("Achat " + self.name )
-			ValeursAchat = 1000
-			print(self.Tab[0])
-			self.possedent+=(ValeursAchat/self.valeur)
-			Portefeuille-=ValeursAchat
-			Frais+=1
-			
-		if self.chaleur<0.5 and self.possedent !=0 :
-			# ~ print ("Vente " + self.name )
-			Portefeuille+=self.possedent*self.Tab[0]
-			self.possedent=0
-			Frais+=1

Src/Extraction/Extraction.py

@@ -1,78 +0,0 @@
-from html.parser import HTMLParser
-import json
-
-
-#Classe Pour extraire les données historique
-class MyHTMLParser(HTMLParser):
-	def __init__(self):
-		HTMLParser.__init__(self)
-		self.recording = 0
-		self.data = []
-		
-	def handle_starttag(self, tag, attrs):
-		if attrs == [('class', 'c-table c-table--generic c-table--generic c-shadow-overflow__table-fixed-column'), ('data-table-sorter', None)]:
-			self.recording=1
-
-	def handle_endtag(self, tag):
-		if tag =="table":
-			self.recording=0
-
-	def handle_data(self, data):
-		if self.recording:
-			tmp=data.replace(" ","")
-			tmp=tmp.replace("\n","")
-			if tmp!='':
-				self.data.append(tmp)
-	
-	def struct(self):
-		dic = {}
-		i=11;
-		dic["1semaine"]=self.data[i:i+3]
-		i+=4
-		dic["1mois"]=self.data[i:i+3]
-		i+=4
-		dic["3mois"]=self.data[i:i+3]
-		i+=4
-		dic["6mois"]=self.data[i:i+3]
-		i+=4
-		dic["1an"]=self.data[i:i+3]
-		i+=4
-		dic["3ans"]=self.data[i:i+3]
-		i+=4
-		dic["5ans"]=self.data[i:i+3]
-		i+=4
-		dic["10ans"]=self.data[i:i+3]
-		i+=4
-		dic["MM20"]=self.data[i]
-		i+=1
-		dic["MM50"]=self.data[i]
-		i+=1
-		dic["MM100"]=self.data[i]
-		i+=1
-		dic["RSI14"]=self.data[i]
-		i+=1		
-		return dic
-		
-	def getData(self):
-		return self.data
-
-#Fonction pour extraire les donnée du graphique journalier
-	def Daily(self,html):
-		l1=html.find("var chart") #On cherche le debuy du JSON du graph
-		l2=html.find("chart.data.amChartData);") # On cherche la fin du JSON du graph
-		data=html[l1+29:l2+32-276] # A améliorrer ???
-
-		data = json.loads(data) # On charge le Json
-		
-		idf = data["data"]["amChartConfig"]["graphs"][0]["id"]# On recupere l'identifiant du graphique
-
-		data=data["data"]["amChartData"][idf]#On extrait du Json les valeurs du graph
-		
-		dic={}
-
-		for i in data : #Pour chaque valeurs de la journée on met dans le dictionnaire
-			heu = i["period"]
-			val = i["value"]
-			dic[heu]=val
-			
-		return dic

Src/Extraction/Scan.py

@@ -1,28 +0,0 @@
-import time
-from recup import recupfunc
-from Extraction import *
-
-t = time.localtime()
-f = open("/home/remy/Projet/Bourse/Src/cac.txt","r") #Ordinateur
-f = open("/home/remy/Projet/Bourse/Src/cac.txt","r") #
-
-for i in f:
-        add = i.split(";")[1]
-        name = i.split(";")[0]
-        parser=MyHTMLParser()
-        fichier = "/home/remy/valeurs/" + name + "-" + str(t[2]) + "-" + str(t[1])  + "-" + str(t[0])        
-        d = open(fichier,"w")
-        
-        
-        html=recupfunc(add)
-        
-        graph=parser.Daily(html)
-        
-        parser.feed(html)
-        histo=parser.struct()
-        
-        d.write(str(graph))
-        d.write("\r\n")
-        d.write(str(histo))
-        d.close()
-f.close()

Src/Extraction/recup.py

@@ -1,10 +0,0 @@
-import urllib.request
-
-def recupfunc(add):
-    try:
-        d = urllib.request.urlopen(urllib.request.Request(add, headers = {"User-Agent": "Mozilla/5.0"})).read().decode()
-        return d
-    except:
-        print("erreur" +str(add))
-
-

Src/RDN.py

@@ -1,139 +0,0 @@
-# -*- coding: utf-8 -*-
-
-from define import *
-from statistics import mean
-import math
-
-def mult(Addresse,Neuronne, poids):
-
-	
-	res = mean([Neuronne[Addresse[0]] , \
-	Neuronne[Addresse[1]] , \
-	Neuronne[Addresse[2]] , \
-	Neuronne[Addresse[3]] , \
-	Neuronne[Addresse[4]] , \
-	Neuronne[Addresse[5]] , \
-	Neuronne[Addresse[6]] , \
-	Neuronne[Addresse[7]] , \
-	Neuronne[Addresse[8]] , \
-	Neuronne[Addresse[9]] , \
-	Neuronne[Addresse[10]] , \
-	Neuronne[Addresse[11]] , \
-	Neuronne[Addresse[12]] , \
-	Neuronne[Addresse[13]] , \
-	Neuronne[Addresse[14]] , \
-	Neuronne[Addresse[15]] , \
-	Neuronne[Addresse[16]] , \
-	Neuronne[Addresse[17]] , \
-	Neuronne[Addresse[18]] , \
-	Neuronne[Addresse[19]] , \
-	Neuronne[Addresse[20]] , \
-	Neuronne[Addresse[21]] , \
-	Neuronne[Addresse[22]] , \
-	Neuronne[Addresse[23]] , \
-	Neuronne[Addresse[24]] , \
-	Neuronne[Addresse[25]] , \
-	Neuronne[Addresse[26]] , \
-	Neuronne[Addresse[27]] , \
-	Neuronne[Addresse[28]] , \
-	Neuronne[Addresse[29]] , \
-	Neuronne[Addresse[30]] ])
-	
-	res = res * poids
-	
-	
-	res = 1.7159*math.atan( 0.66666667*(res))
-	#print (res)
-	return res
-	
-
-# Fonction d'initialisation du reseau de neuronne
-class RDN():
-	def __init__(self,ID):
-		
-		self.ID = ID
-		
-		self.C1 = [0]*NBC1		
-		self.C2 = [0]*NBC2
-		self.C3 = [0]*NBC3
-		self.C4 = [0]*NBC4
-		self.C5 = [0]*NBC5
-		
-		path = D_file + str(self.ID) + "/"
-		
-		#changer les addresse des fichier des poids avec l'ID
-		F_add2=open(path + "Addresse2.pos","r")
-		F_add3=open(path + "Addresse3.pos","r")
-		F_add4=open(path + "Addresse4.pos","r")
-		F_add5=open(path + "Addresse5.pos","r")
-		
-		F_Poid2=open(path + "poids2.wei","r")
-		F_Poid3=open(path + "poids3.wei","r")
-		F_Poid4=open(path + "poids4.wei","r")
-		F_Poid5=open(path + "poids5.wei","r")
-		
-		self.add2 = []
-		self.add3 = []
-		self.add4 = []
-		self.add5 = []
-		
-		self.poid2 = []
-		self.poid3 = []
-		self.poid4 = []
-		self.poid5 = []		
-		
-		for i in F_add2:
-			data = i.strip('][\n').split(', ')
-			tmp=[]
-			for j in data:
-				tmp.append(int(j))
-			self.add2.append(tmp)
-			
-		for i in F_add3:
-			data = i.strip('][\n').split(', ')
-			tmp=[]
-			for j in data:
-				tmp.append(int(j))
-			self.add3.append(tmp)
-
-		for i in F_add4:
-			data = i.strip('][\n').split(', ')
-			tmp=[]
-			for j in data:
-				tmp.append(int(j))
-			self.add4.append(tmp)
-
-		for i in F_add5:
-			data = i.strip('][\n').split(', ')
-			tmp=[]
-			for j in data:
-				tmp.append(int(j))
-			self.add5.append(tmp)
-			
-		for i in F_Poid2:
-			self.poid2.append(float(i))
-		for i in F_Poid3:
-			self.poid3.append(float(i))		
-		for i in F_Poid4:
-			self.poid4.append(float(i))
-		for i in F_Poid5:
-			self.poid5.append(float(i))
-		
-	def MiseAJourC1(self,tab):
-		self.C1 = tab
-		
-		
-	def tour(self):
-
-		for i in range(len(self.C2)):
-			self.C2[i]=mult(self.add2[i],self.C1,self.poid2[i])
-		
-		for i in range(len(self.C3)):
-			self.C3[i]=mult(self.add3[i],self.C2,self.poid3[i])
-			
-		for i in range(len(self.C4)):
-			self.C4[i]=mult(self.add4[i],self.C3,self.poid4[i])
-			
-		for i in range(len(self.C5)):
-			self.C5[i]=mult(self.add5[i],self.C4,self.poid5[i])
-		return self.C5

Src/Vieux/Partage.py

@@ -1,7 +0,0 @@
-from threading import RLock
-
-
-verrou = RLock()
-
-Vendre=[]
-Annulation=[]

Src/Vieux/achatVente.py

@@ -1,26 +0,0 @@
-from threading import Thread
-from valeurs import *
-
-
-class AchatVente(Thread):
-
-    def __init__(self, valeur,verrou):
-        Thread.__init__(self)
-        
-    def run(self):
-        i=0
-        gain =0.0 
-        while 1:
-			#~ with verrou:
-			if valeur[i].getAAnule == 1:
-				valeur[i].Anulation()
-			if valeur[i].getAVendre == 1:
-				gain=gain+valeur[i].Vente()
-			if getMise()==0:
-				valeur[i].Achat(25)
-			
-			print ("Gain : "+ str(gain))
-			time.sleep(0.4)
-			i=i+1
-			if i<39:
-				i=0

Src/Vieux/cac.py

@@ -1,58 +0,0 @@
-from recup import recupfunc
-import urllib
-import time
-
-Valeur= 0
-
-url=[]#
-res=[]#
-val=[]#
-
-f = open('cac.txt','r')
-
-for i in f:
-	url.append(i)
-	res.append(recupfunc(i))
-	val.append(25.0)
-
-annulation=0
-validation=0
-
-f.close()
-tim=time.time()
-i = 0
-while 1:
-	#vente
-	temp=recupfunc(url[i])
-	print("differenece"+str(temp[2]-res[i][2]))
-	if res[i][2]<temp[2]:
-		#on vend
-		print ("vend")
-		validation=validation+1
-		Valeur=Valeur+val[i]*1+(temp[2]-res[i][2])/100
-	else:
-		#on annulle
-		annulation=annulation+1
-		print("annule")
-		Valeur=Valeur+val[i]
-		
-	#achat
-	res[i]=temp
-	val[i]=25
-	Valeur=Valeur-25
-	i=i+1
-	if i>39:
-		i=0
-	time.sleep(15)
-	
-	#affichage stat
-	temps = time.time()-tim
-	print ("temps : " + str(temps))
-	print ("gagne : " + str(Valeur))
-	print ("moyen session : " + str((Valeur/temps)*3600*8))
-	print ("annulation : " + str(annulation) + " Validation : " + str(validation))
-	
-	
-
-
-

Src/Vieux/cac.txt

@@ -1,40 +0,0 @@
-Solvay;https://www.google.com/finance?q=Solvay&ei=cnx_V6CQBYKCUcGdsNAC
-lafarg;https://www.google.com/finance?q=FRA%3AHLBN&sq=LafargeHolcim&sp=4&ei=oHl_V8GOEIGQUInhmcAO
-Nokia;https://www.google.com/finance?q=FRA%3ANOA3&sq=NOKIA%20fra&sp=1&ei=YHp_V-i2GoTOUZ7tjjg
-CrediA;https://www.google.com/finance?q=EPA:ACA&sq=Credit+Agricole&sp=1&ei=QXx_V6hGiLxRw_6d-AE
-Safran;https://www.google.com/finance?q=EPA:SAF&sq=Safran&sp=1&ei=cnx_V6CQBYKCUcGdsNAC
-AirLiq;https://www.google.com/finance?q=EPA%3AAI&sq=Air%20Liquide&sp=1&ei=7Xx_V7HMC4nKUd3RiagO
-Carref;https://www.google.com/finance?q=EPA%3ACA&sq=Carrefour&sp=1&ei=63x_V-jLE8iVUJCWk-AD
-Total;https://www.google.com/finance?q=EPA%3AFP&sq=Total&sp=11&ei=9Hx_V6n7GNXAUarJoMgO
-Loreal;https://www.google.com/finance?q=EPA%3AOR&sq=L%27oreal&sp=1&ei=_3x_V_mfEsvyUJTRvNgK
-ACoor;https://www.google.com/finance?q=EPA%3AAC&sq=ac&sp=4&ei=VoF_V5HiI8iFUd_mrbgG&hl=en
-Bouygu;https://www.google.com/finance?q=EPA%3AEN&sq=Bouygues&sp=1&ei=7n1_V8nMMsLAU8Knp_gC
-Sanofi;https://www.google.com/finance?q=EPA%3ASAN&sq=Sanofi&sp=2&ei=8H1_V_DpFsvDUbbzhaAG
-axa;https://www.google.com/finance?q=EPA%3ACS&sq=Axa&sp=2&ei=8H1_V8GKO8iVUJCWk-AD
-Danone;https://www.google.com/finance?q=EPA%3ABN&sq=Danone&sp=1&ei=8n1_V8DAKcaEU7KstKgI
-Ricard;https://www.google.com/finance?q=EPA%3ARI&sq=Pernod%20Ricard&sp=1&ei=831_V-C5DMbQU5eSjKgO
-LVMH;https://www.google.com/finance?q=EPA%3AMC&sq=Lvmh&sp=1&ei=831_V6iqM9XFUYfsmrgO
-Sodexo;https://www.google.com/finance?q=EPA%3ASW&sq=Sodexo&sp=1&ei=9H1_V9GyHpC4U7b6q5AD
-Michel;https://www.google.com/finance?q=EPA%3AML&sq=Michelin&sp=1&ei=9X1_V6i3BYiLUsWxudAN
-Kering;https://www.google.com/finance?q=EPA%3AKER&sq=Kering&sp=1&ei=9X1_V6GnJ8bRUeiigagP
-Peugeo;https://www.google.com/finance?q=EPA%3AUG&sq=Peugeot&sp=2&ei=sX5_V6mbOMbQU5eSjKgO
-Essilo;https://www.google.com/finance?q=Essilor+Intl&ei=eX1_V5GDGciFUd_mrbgG
-Klepie;https://www.google.com/finance?q=Klepierre&ei=eX1_V4msKIWZUuzXpoAD
-Schnei;https://www.google.com/finance?q=Schneider+Electric&ei=f31_V5DIAoW-U4XRvfAH
-Veolia;https://www.google.com/finance?q=EPA%3Avie&hl=en&ei=W4F_V6HaFsaEU7KstKgI
-Unibial;https://www.google.com/finance?q=Unibail-Rodamco&ei=fH1_V_lV1chTzMWdyAI
-SAintGo;https://www.google.com/finance?q=EPA%3ASGO&sq=Saint%20Gobain&sp=1&ei=vH5_V_nJBIWZUuzXpoAD
-CapGe;https://www.google.com/finance?q=EPA%3ACAP&sq=Cap%20Gemini&sp=1&ei=vH5_V6meN4vCU-TTtagL
-Vinci;https://www.google.com/finance?q=EPA%3Adg&hl=en&ei=ZoF_V5mGJYGdUovOvIgC
-Vivendi;https://www.google.com/finance?q=EPA%3AVIV&sq=Vivendi&sp=1&ei=c4B_V9uDEYWZUuzXpoAD&hl=en
-Publici;https://www.google.com/finance?q=EPA%3APUB&sq=Publicis%20Groupe&sp=2&ei=dYB_V8HkHYvCU-TTtagL&hl=en
-SOGE;https://www.google.com/finance?q=EPA%3AGLE&sq=Societe%20Generale&sp=1&ei=doB_V9vNIoi8UcP-nfgB&hl=en
-BNP;https://www.google.com/finance?q=EPA%3ABNP&sq=Bnp%20Paribas&sp=1&ei=d4B_V-n6LYiLUsWxudAN&hl=en
-Technip;https://www.google.com/finance?q=EPA%3ATEC&sq=Technip&sp=2&ei=IIB_V4HrBoW-U4XRvfAH&hl=en
-Renault;https://www.google.com/finance?q=EPA%3ARNO&sq=Renault&sp=1&ei=LoB_V9HqNYqPUtLYp-AK&hl=en
-Orange;https://www.google.com/finance?q=EPA%3AORA&sq=Orange&sp=2&ei=NIB_V4GsG4TOUZ7tjjg&hl=en
-Engie;https://www.google.com/finance?q=EPA%3AENGI&sq=Engie&sp=1&ei=OYB_V_GWCMvyUJTRvNgK&hl=en
-Legrand;https://www.google.com/finance?q=Legrand+SA&hl=en&ei=_X9_V_DgGdXFUYfsmrgO
-Valeo;https://www.google.com/finance?q=EPA%3AFR&sq=Valeo&sp=1&ei=QoB_V_ikOtaYUPq-vZgD&hl=en
-Arcelor;https://www.google.com/finance?q=Arcelor+Mittal&hl=en&ei=_39_V-H9H9XIU8zFncgC
-Airbus;https://www.google.com/finance?q=EPA%3AAIR&sq=Airbus&sp=1&ei=YYB_V_uNGJOLUJXhvKAP&hl=en

Src/Vieux/recup.py

@@ -1,16 +0,0 @@
-import urllib
-
-def recupfunc(add):
-	while 1:
-		try:
-			d = urllib.urlopen(add).read()
-			s= d.split("\n")
-			val = float(s[149].split('>')[1].split('<')[0])
-			var = float(s[152].split('>')[2].split('<')[0])
-			pou = float(s[153].split('(')[1].split('%')[0])
-
-			return [val,var,pou]
-		except:
-			print("erreur" +str(add))
-	
-#~ print (recup('https://www.google.com/finance?q=lhn&ei=DHF_V8GIEoi8UcP-nfgB'))

Src/Vieux/scanValeur.py

@@ -1,21 +0,0 @@
-from threading import Thread
-from valeurs import *
-
-
-class Scan(Thread):
-
-    def __init__(self, valeur,verrou):
-        Thread.__init__(self)
-        
-    def run(self):
-        i=0
-        while 1:
-		#~ with verrou:
-			tmp=valeur[i].getNewTaux()
-			if tmp-valeur[i].getTaux() > 0.5:
-				valeur[i].MiseEnVente()
-			time.sleep(0.4)
-			i=i+1
-			if i<39:
-				i=0
-			

Src/Vieux/test.py

@@ -1,99 +0,0 @@
-from valeurs import *
-from scanValeur import *
-from timer import *
-from achatVente import *
-import time
-from threading import Thread, RLock
-
-f = open('cac.txt','r')
-
-valeur=[]
-
-for i in f:
-	t = i.split(';')
-	url = t[1]
-	nom = t[0]
-	valeur.append(Valeur(nom,url))
-
-f.close()
-
-tempsdepart =time.time()
-
-class AchatVente(Thread):
-
-	
-    def __init__(self):
-        Thread.__init__(self)
-       
-        
-    def run(self):
-		i=0
-		gain =0.0
-		while 1:
-			with verrou:
-				if valeur[i].getAAnule() == 1:
-					valeur[i].Anulation()
-				if valeur[i].getAVendre() == 1:
-					gain=gain+valeur[i].Vente()
-					print ("Gain Total: "+ str(gain)+ " en " + str(time.time()-tempsdepart) + "s")
-				if valeur[i].getMise()==0:
-					valeur[i].Achat(250)
-			time.sleep(00.001)
-			i=i+1
-			if i>39:
-				i=0
-
-
-class Scan(Thread):
-
-    def __init__(self):
-        Thread.__init__(self)
-        
-    def run(self):
-        i=0
-        while 1:
-			with verrou:
-				tmp=valeur[i].getNewTaux()- valeur[i].getTaux()
-				
-				if tmp > 0.5:
-					valeur[i].MiseEnVente()
-			time.sleep(0.4)
-			i=i+1
-			if i>39:
-				i=0
-			
-class Timer(Thread):
-
-    def __init__(self):
-        Thread.__init__(self)
-        
-    def run(self):
-        i=0
-        while 1:
-			with verrou:
-				if valeur[i].tempsRestant() < 30:
-					if valeur[i].getNewTaux() > 0:
-						valeur[i].MiseEnVente()
-					else:
-						valeur[i].MiseEnAnnulation()
-			time.sleep(0.4)
-			i=i+1
-			if i>39:
-				i=0
-
-verrou = RLock()
-
-threadAchat = AchatVente()
-threadTimer = Timer()
-threadScan  = Scan() 
-
-threadAchat.start()
-threadTimer.start()
-threadScan.start()
-
-threadAchat.join()
-threadTimer.join()
-threadScan.join()
-
-#~ print(str(valeur[1].getTaux()))
-#~ print(str(valeur[1].getNewTaux()))

Src/Vieux/timer.py

@@ -1,22 +0,0 @@
-from threading import Thread
-from valeurs import *
-
-
-class Timer(Thread):
-
-    def __init__(self, valeur,verrou):
-        Thread.__init__(self)
-        
-    def run(self):
-        i=0
-        while 1:
-			#~ with verrou:
-			if valeur[i].tempsRestant() < 30:
-				if valeur[i].getNewTaux() > 0:
-					valeur[i].MiseEnVente()
-				else:
-					valeur[i].MiseEnAnnulation()
-			time.sleep(0.4)
-			i=i+1
-			if i<39:
-				i=0

Src/Vieux/valeurs.py

@@ -1,73 +0,0 @@
-import time
-from recup import recupfunc
-
-class Valeur(object):	
-	def __init__(self,nom,url):
-		self.nom=nom
-		self.url=url
-		self.taux=recupfunc(self.url)
-		self.mise=0.0
-		self.date=time.time()
-		self.validation=0
-		self.anulation=0
-		self.AVendre = 0
-		self.AAnule = 0
-	
-	"""achat d'une actiont"""
-	def Achat(self,mise):
-		self.variationAchat=recupfunc(self.url)
-		self.date=time.time()
-		self.mise=mise
-		print ("achat de " + str(mise) + " de " + str(self.nom))
-	
-	"""vent une transaction si le taux est interesant sinon annulle"""
-	def Vente(self):
-		self.AVendre=0
-		tmp = recupfunc(self.url)[2]
-		taux=(tmp-self.taux[2])/100
-		if taux < 0:
-			Anulation()
-		else:
-			self.validation = self.validation + 1
-			tmpMise=self.mise
-			self.mise=0.0
-			gainpro = tmpMise*taux
-			print ("vente de " + str(tmpMise) + " de " + str(self.nom) + " pour un taux de " + str(taux) + ". Gain " + str(gainpro))
-			return gainpro
-		
-	""" anule une transaction """
-	def Anulation(self): # a voir si on regarde pas si on mettrais pas en vente 
-		self.AAnule = 0
-		self.anulation = self.annulation +1
-		print ("annulation de " + str(mise) + " de " + str(self.nom))
-		self.mise = 0.0
-		
-	"""retourne le temps restant en sec avant l'expiration du choix de l'option
-	"""
-	def tempsRestant(self):
-		return 600-(time.time()-self.date)
-	
-	def getNewTaux(self):
-		return recupfunc(self.url)[2]
-		
-	def MiseEnVente(self):
-		self.AVendre=1
-	
-	def MiseEnAnnulation(self):
-		self.AAnule=1
-		
-	def getAVendre(self):
-		return self.AVendre
-		
-	def getAAnule(self):
-		return self.AAnule
-	
-	def getTaux(self):
-		return self.taux[2]
-		
-	def getMise(self):
-		return self.mise
-		
-	def getNom(self):
-		return self.nom
-	

Src/cac.txt

@@ -1,41 +0,0 @@
-Cac40;https://www.boursorama.com/bourse/indices/cours/1rPCAC/
-Accor;https://www.boursorama.com/cours/1rPAC/
-Air liquide;https://www.boursorama.com/cours/1rPAI/
-Airbus;https://www.boursorama.com/cours/1rPAI/
-ArcelorMittal;https://www.boursorama.com/cours/1rAMT/
-Atos;https://www.boursorama.com/cours/1rPATO/
-Axa;https://www.boursorama.com/cours/1rPCS/
-BNP Paribas;https://www.boursorama.com/cours/1rPBNP/
-Bouygues;https://www.boursorama.com/cours/1rPEN/
-Capgemini;https://www.boursorama.com/cours/1rPCAP/
-Carrefour;https://www.boursorama.com/cours/1rPCA/
-Crédit agricole;https://www.boursorama.com/cours/1rPACA/
-Danone;https://www.boursorama.com/cours/1rPBN/
-Dassault Systèmes;https://www.boursorama.com/cours/1rPDSY/
-Engie;https://www.boursorama.com/cours/1rPENGI/
-Essilor;https://www.boursorama.com/cours/1rPEL/
-Hermès International;https://www.boursorama.com/cours/1rPRMS/
-Kering;https://www.boursorama.com/cours/1rPKER/
-Legrand;https://www.boursorama.com/cours/1rPLR/
-L'Oréal;https://www.boursorama.com/cours/1rPOR/
-LVMH;https://www.boursorama.com/cours/1rPMC/
-Michelin;https://www.boursorama.com/cours/1rPML/
-Orange;https://www.boursorama.com/cours/1rPORA/
-Pernod Ricard;https://www.boursorama.com/cours/1rPRI/
-Groupe PSA;https://www.boursorama.com/cours/1rPUG/
-Publicis Groupe;https://www.boursorama.com/cours/1rPPUB/
-Renault;https://www.boursorama.com/cours/1rPRNO/
-Safran;https://www.boursorama.com/cours/1rPSAF/
-Saint-Gobain;https://www.boursorama.com/cours/1rPSGO/
-Sanofi;https://www.boursorama.com/cours/1rPSAN/
-Schneider Electric;https://www.boursorama.com/cours/1rPSU/
-Société générale;https://www.boursorama.com/cours/1rPGLE/
-Sodexo;https://www.boursorama.com/cours/1rPSW/
-STMicroelectronics;https://www.boursorama.com/cours/1rPSTM/
-TechnipFMC;https://www.boursorama.com/cours/1rPFTI/
-Thales;https://www.boursorama.com/cours/1rPHO/
-Total;https://www.boursorama.com/cours/1rPFP/
-Unibail-Rodamco-Westfield;https://www.boursorama.com/cours/1rAURW/
-Veolia;https://www.boursorama.com/cours/1rPVIE/
-Vinci;https://www.boursorama.com/cours/1rPDG/
-Vivendi;https://www.boursorama.com/cours/1rPVIV/

Src/define.py

@@ -1,55 +0,0 @@
-# -*- coding: utf-8 -*-
-
-initPortefeuille = 30000
-ValeursAchat = 2000
-
-NBMinuteJour = (8*6)+30
-NBAction = 41 #40 action + cac40
-NBInfoSupplementaire = 8
-NBJour = 5 # nombre de jour dans le reseau de neurone
-NBNeurone = NBMinuteJour * NBJour # + NBInfoSupplementaire
-
-NBC1 = NBNeurone*NBAction #NBNEurone par action
-NBC2 = int(NBC1 * 1.2)
-NBC3 = int(NBC2 * 1.2)
-NBC4 = 300
-NBC5 = 40
-
-MulParNeurone = 31
-
-# ~ minute = [	
-# ~ "09h00", "09h01", "09h02", "09h03", "09h04", "09h05", "09h06", "09h07", "09h08", "09h09", "09h10", "09h11", "09h12", "09h13", "09h14", "09h15", "09h16", "09h17","09h18", "09h19", "09h20", "09h21", "09h22", "09h23", "09h24", "09h25", "09h26", "09h27", "09h28", "09h29", "09h30", "09h31", "09h32", "09h33", "09h34", "09h35","09h36", "09h37", "09h38", "09h39", "09h40", "09h41", "09h42", "09h43", "09h44", "09h45", "09h46", "09h47", "09h48", "09h49", "09h50", "09h51", "09h52", "09h53","09h54", "09h55", "09h56", "09h57", "09h58", "09h59",
-# ~ "10h00", "10h01", "10h02", "10h03", "10h04", "10h05", "10h06", "10h07", "10h08", "10h09", "10h10", "10h11", "10h12","10h13", "10h14", "10h15", "10h16", "10h17", "10h18", "10h19", "10h20", "10h21", "10h22", "10h23", "10h24", "10h25", "10h26", "10h27", "10h28", "10h29", "10h30","10h31", "10h32", "10h33", "10h34", "10h35", "10h36", "10h37", "10h38", "10h39", "10h40", "10h41", "10h42", "10h43", "10h44", "10h45", "10h46", "10h47", "10h48","10h49", "10h50", "10h51", "10h52", "10h53", "10h54", "10h55", "10h56", "10h57", "10h58", "10h59",
-# ~ "11h00", "11h01", "11h02", "11h03", "11h04", "11h05", "11h06", "11h07","11h08", "11h09", "11h10", "11h11", "11h12", "11h13", "11h14", "11h15", "11h16", "11h17", "11h18", "11h19", "11h20", "11h21", "11h22", "11h23", "11h24", "11h25","11h26", "11h27", "11h28", "11h29", "11h30", "11h31", "11h32", "11h33", "11h34", "11h35", "11h36", "11h37", "11h38", "11h39", "11h40", "11h41", "11h42", "11h43","11h44", "11h45", "11h46", "11h47", "11h48", "11h49", "11h50", "11h51", "11h52", "11h53", "11h54", "11h55", "11h56", "11h57", "11h58", "11h59",
-# ~ "12h00", "12h01", "12h02","12h03", "12h04", "12h05", "12h06", "12h07", "12h08", "12h09", "12h10", "12h11", "12h12", "12h13", "12h14", "12h15", "12h16", "12h17", "12h18", "12h19", "12h20","12h21", "12h22", "12h23", "12h24", "12h25", "12h26", "12h27", "12h28", "12h29", "12h30", "12h31", "12h32", "12h33", "12h34", "12h35", "12h36", "12h37", "12h38","12h39", "12h40", "12h41", "12h42", "12h43", "12h44", "12h45", "12h46", "12h47", "12h48", "12h49", "12h50", "12h51", "12h52", "12h53", "12h54", "12h55", "12h56","12h57", "12h58", "12h59",
-# ~ "13h00", "13h01", "13h02", "13h03", "13h04", "13h05", "13h06", "13h07", "13h08", "13h09", "13h10", "13h11", "13h12", "13h13", "13h14", "13h15","13h16", "13h17", "13h18", "13h19", "13h20", "13h21", "13h22", "13h23", "13h24", "13h25", "13h26", "13h27", "13h28", "13h29", "13h30", "13h31", "13h32", "13h33","13h34", "13h35", "13h36", "13h37", "13h38", "13h39", "13h40", "13h41", "13h42", "13h43", "13h44", "13h45", "13h46", "13h47", "13h48", "13h49", "13h50", "13h51","13h52", "13h53", "13h54", "13h55", "13h56", "13h57", "13h58","13h59",
-# ~ "14h00", "14h01", "14h02", "14h03", "14h04", "14h05", "14h06", "14h07", "14h08", "14h09", "14h10","14h11", "14h12", "14h13", "14h14", "14h15", "14h16", "14h17", "14h18", "14h19", "14h20", "14h21", "14h22", "14h23", "14h24", "14h25", "14h26", "14h27", "14h28","14h29", "14h30", "14h31", "14h32", "14h33", "14h34", "14h35", "14h36", "14h37", "14h38", "14h39", "14h40", "14h41", "14h42", "14h43", "14h44", "14h45", "14h46","14h47", "14h48", "14h49", "14h50", "14h51", "14h52", "14h53", "14h54", "14h55", "14h56", "14h57", "14h58", "14h59",
-# ~ "15h00", "15h01", "15h02", "15h03", "15h04", "15h05","15h06", "15h07", "15h08", "15h09", "15h10", "15h11", "15h12", "15h13", "15h14", "15h15", "15h16", "15h17", "15h18", "15h19", "15h20", "15h21", "15h22", "15h23","15h24", "15h25", "15h26", "15h27", "15h28", "15h29", "15h30", "15h31", "15h32", "15h33", "15h34", "15h35", "15h36", "15h37", "15h38", "15h39", "15h40", "15h41","15h42", "15h43", "15h44", "15h45", "15h46", "15h47", "15h48", "15h49", "15h50", "15h51", "15h52", "15h53", "15h54", "15h55", "15h56", "15h57", "15h58", "15h59",
-# ~ "16h00","16h01", "16h02", "16h03", "16h04", "16h05", "16h06", "16h07", "16h08", "16h09", "16h10", "16h11", "16h12", "16h13", "16h14", "16h15", "16h16", "16h17", "16h18","16h19", "16h20", "16h21", "16h22", "16h23", "16h24", "16h25", "16h26", "16h27", "16h28", "16h29", "16h30", "16h31", "16h32", "16h33", "16h34", "16h35", "16h36","16h37", "16h38", "16h39", "16h40", "16h41", "16h42", "16h43", "16h44", "16h45", "16h46", "16h47", "16h48", "16h49", "16h50", "16h51", "16h52", "16h53", "16h54","16h55", "16h56", "16h57", "16h58", "16h59",
-# ~ "17h00", "17h01", "17h02", "17h03", "17h04", "17h05", "17h06", "17h07", "17h08", "17h09", "17h10", "17h11", "17h12", "17h13","17h14", "17h15", "17h16", "17h17", "17h18", "17h19", "17h20", "17h21", "17h22", "17h23", "17h24", "17h25", "17h26", "17h27", "17h28", "17h29", "17h30"]
-
-# ~ minute = [	
-# ~ "09h00", "09h05", "09h10", "09h15","09h20", "09h25", "09h30", "09h35","09h40", "09h45", "09h50","09h55",
-# ~ "10h00", "10h05", "10h10","10h15", "10h20", "10h25", "10h30","10h35", "10h40", "10h45","10h50", "10h55",
-# ~ "11h00", "11h05","11h10", "11h15", "11h20", "11h25","11h30", "11h35", "11h40","11h45", "11h50", "11h55",
-# ~ "12h00","12h05", "12h10", "12h15", "12h20","12h25", "12h30", "12h35","12h40", "12h45", "12h50", "12h55", 
-# ~ "13h00", "13h05", "13h10", "13h15","13h20", "13h25", "13h30","13h35", "13h40", "13h45", "13h50","13h55", 
-# ~ "14h00", "14h05", "14h10","14h15", "14h20", "14h25","14h30", "14h35", "14h40", "14h45","14h50", "14h55",
-# ~ "15h00", "15h05","15h10", "15h15", "15h20","15h25", "15h30", "15h35", "15h40","15h45", "15h50", "15h55",
-# ~ "16h00","16h05", "16h10", "16h15","16h20", "16h25", "16h30", "16h35","16h40", "16h45", "16h50","16h55",
-# ~ "17h00", "17h05", "17h10","17h15", "17h20", "17h25", "17h30"]
-
-
-minute = [	
-"09h00","09h10", "09h20","09h30", "09h40","09h50",
-"10h00","10h10", "10h20","10h30", "10h40", "10h50", 
-"11h00", "11h10","11h20", "11h30","11h40", "11h50", 
-"12h00", "12h10","12h20", "12h30", "12h40","12h50",
-"13h00","13h10", "13h20","13h30", "13h40","13h50", 
-"14h00","14h10", "14h20", "14h30","14h40", "14h50", 
-"15h00", "15h10","15h20", "15h30","15h40", "15h50", 
-"16h00", "16h10", "16h20","16h30", "16h40","16h50",
-"17h00","17h10", "17h20","17h30"]
-
-D_file= "/home/remy/Projet/DonneBourse/" #dossier des files
-# D_file= "C:/Users/rcluze/Documents/Perso/Projet/DonneBourse/" 

Src/functionMain.py

@@ -1,64 +0,0 @@
-# -*- coding: utf-8 -*-
-
-import os.path
-import random
-from define import *
-#define
-
-def fileWrite(NBneurone,NBneuroneMoins1,N,path):
-	weight=[]
-	add=[]
-	for i in range(NBneurone):
-		weight.append(random.uniform(0.0, 2.0))
-		tmp=[]
-		for j in range(MulParNeurone):
-			tmp.append(random.randrange(0,NBneuroneMoins1))
-		add.append(tmp)
-	F_weight = open(path + "poids"+str(N)+".wei","w")	
-	F_AddPos = open(path + "Addresse"+str(N)+".pos","w")
-	
-	for i in weight : 
-		F_weight.write(str(i)+"\n")
-		
-	for i in add :
-		F_AddPos.write(str(i)+"\n")
-	
-	F_AddPos.close()
-	F_weight.close()
-	
-def GenerateFile():
-	F_resume = open("resume.txt","r")
-	file_lines = F_resume.readlines()
-	F_resume.close ()
-	last_line = file_lines [ len ( file_lines ) -1]
-	ID=int(last_line.split(":")[0])+1
-	print ("Numero du test : " + str(ID))
-	path = D_file + str(ID) + "/"
-	
-	os.mkdir(path)
-	
-	fileWrite(NBC2,NBC1,2,path)
-	fileWrite(NBC3,NBC2,3,path)
-	fileWrite(NBC4,NBC3,4,path)
-	fileWrite(NBC5,NBC4,5,path)
-	
-	return int(ID)
-	
-def CalculPourcentage(Portefeuille,Actions,Frais):
-	val = Portefeuille
-	for act in Actions:
-		val+=act.getValue()
-	val-=(Frais*3.9)
-	return (val/initPortefeuille)
-
-def MAJQuotidient(jou,Actions):
-	for act in Actions:
-		act.MajQuotidient(jou)
-
-def MAJ1min(minu,Actions):
-	tab=[]
-	for act in Actions:
-		act.Maj1min(minu)
-		tab.extend(act.getTable())
-	return tab
-	

Src/jour.txt

@@ -1,17 +0,0 @@
-1-4-2020
-2-4-2020
-3-4-2020
-6-4-2020
-7-4-2020
-8-4-2020
-9-4-2020
-10-4-2020
-14-4-2020
-15-4-2020
-16-4-2020
-17-4-2020
-20-4-2020
-21-4-2020
-22-4-2020
-23-4-2020
-24-4-2020

Src/main.py

@@ -1,61 +0,0 @@
-# -*- coding: utf-8 -*-
-
-from functionMain import *
-from RDN import *
-from Action import *
-import time
-
-Portefeuille = initPortefeuille
-FraisBancaire = 0
-
-print ("debut init  gererate")
-ID = GenerateFile()
-
-RDN=RDN(ID)
-
-F_resume=open("resume.txt",'a')
-F_cac=open("cac.txt","r")
-F_jour = open("jour.txt","r")
-
-F_resume.write(str(ID)+":")
-F_resume.close()
-Actions = []
-print ("fin init gererate")
-
-for i in F_cac:
-	Actions.append(Action(i))
-
-print ("debut init RDN")
-for i in range (NBJour):
-	jou=F_jour.readline()
-	jou=jou[:-1]
-	MAJQuotidient(jou,Actions)
-	for minu in minute:
-		RDN.MiseAJourC1(MAJ1min(minu,Actions))
-print ("fin init RDN")
-
-print ("debut RDN")
-for jou in F_jour:
-	print (jou)
-	jou = jou.strip('\n')
-	MAJQuotidient(jou,Actions)
-	for minu in minute:
-		
-		# ~ t1=time.time()
-		RDN.MiseAJourC1(MAJ1min(minu,Actions))
-		# ~ print(time.time()-t1)
-		
-		# ~ t1=time.time()
-		res = RDN.tour()
-		# ~ print(time.time()-t1)
-		
-		i = 0
-		for act in Actions:
-			if(act.name!="Cac40"):
-				act.MAJchaleur(res[i])
-				act.Surveillance(Portefeuille,FraisBancaire)
-				i+=1
-		print(Portefeuille)
-
-F_resume.write(str(CalculPourcentage(Portefeuille,Actions,FraisBancaire)))
-F_resume.close()

Src/resume.txt

@@ -1,3 +0,0 @@
-1:0
-2:
-3:

Src/test.py

@@ -1,3 +0,0 @@
-for i in range(9,18):
-	for j in range(59):
-		print(str(i)+"h"+str(j))

TestPerf/TestPerf.py

@@ -1,29 +0,0 @@
-jour = 20
-minute = 8*60+30
-
-nbAction = 41
-
-C1 = (20 + minute) * nbAction
-C2 = C1 * 1.25
-C3 = C2 * 1.25
-C4 = 1500
-C5 = 40
-
-nb = int(C2 + C3 + C4 + C5)
-
-
-def mult():
-	#res = 1
-	#for i in range (32):
-	#	res *= 1.25
-	res =  1.25 * 1.25 * 1.25* 1.25* 1.25* 1.25* 1.25* 1.25* 1.25* 1.25* 1.25* 1.25* 1.25* 1.25* 1.25* 1.25* 1.25* 1.25* 1.25* 1.25* 1.25* 1.25* 1.25* 1.25* 1.25* 1.25* 1.25* 1.25* 1.25* 1.25* 1.25 *1.25
-
-def tour():
-	for i in range(nb ):
-		mult()
-
-for jou in range(jour):
-	print (jou)
-	for min in range(minute) :
-		tour()
-		

date.txt

@@ -1,617 +0,0 @@
-13-2-2020
-14-2-2020
-17-2-2020
-18-2-2020
-19-2-2020
-20-2-2020
-21-2-2020
-24-2-2020
-25-2-2020
-26-2-2020
-27-2-2020
-28-2-2020
-2-3-2020
-3-3-2020
-4-3-2020
-5-3-2020
-6-3-2020
-9-3-2020
-10-3-2020
-11-3-2020
-12-3-2020
-13-3-2020
-16-3-2020
-17-3-2020
-18-3-2020
-19-3-2020
-20-3-2020
-23-3-2020
-24-3-2020
-25-3-2020
-26-3-2020
-27-3-2020
-30-3-2020
-31-3-2020
-1-4-2020
-2-4-2020
-3-4-2020
-6-4-2020
-7-4-2020
-8-4-2020
-9-4-2020
-14-4-2020
-15-4-2020
-16-4-2020
-17-4-2020
-20-4-2020
-21-4-2020
-22-4-2020
-23-4-2020
-24-4-2020
-27-4-2020
-28-4-2020
-29-4-2020
-30-4-2020
-4-5-2020
-5-5-2020
-6-5-2020
-7-5-2020
-11-5-2020
-12-5-2020
-13-5-2020
-14-5-2020
-15-5-2020
-18-5-2020
-19-5-2020
-20-5-2020
-21-5-2020
-22-5-2020
-25-5-2020
-26-5-2020
-27-5-2020
-28-5-2020
-29-5-2020
-2-6-2020
-2-6-2020
-3-6-2020
-4-6-2020
-5-6-2020
-8-6-2020
-9-6-2020
-10-6-2020
-11-6-2020
-12-6-2020
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-16-6-2020
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-19-6-2020
-22-6-2020
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-30-6-2020
-1-7-2020
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-9-7-2020
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-1-10-2020
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-12-10-2020
-13-10-2020
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-2-11-2020
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-4-1-2021
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mise en place donné/Accor.txt

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mise en place donné/AirLiquide.txt

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mise en place donné/Airbus.txt

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mise en place donné/BNPParibas.txt

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mise en place donné/Bouygues.txt

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mise en place donné/Danone.txt

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mise en place donné/Engie.txt

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mise en place donné/LOreal.txt

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mise en place donné/LectureDonne.py

@@ -1,51 +0,0 @@
-import yfinance as yf
-from datetime import datetime, timedelta
-
-def get_closing_price_at_date(stock_symbol, date):
-    # Convertir la date en format Y-m-d
-    formatted_date = datetime.strptime(date, "%d-%m-%Y")
-
-    
-    start_date = formatted_date
-    end_date = formatted_date + timedelta(days=1)
-    
-    start_date = start_date.strftime("%Y-%m-%d")
-    end_date    = end_date.strftime("%Y-%m-%d")
-    # Récupérer les données historiques de l'action
-    stock = yf.Ticker(stock_symbol)
-    historical_data = stock.history(start=start_date, end=end_date)
-    
-    #print (historical_data)
-    # Vérifier si des données sont disponibles pour la date spécifiée
-    if historical_data.empty:
-        print("pas dispo"+date+stock_symbol+"\n")
-        return None
-
-    # Extraire le prix de clôture à la date donnée
-    closing_price = historical_data['Close'].iloc[0]
-
-    return closing_price
-    
-    
-"""
-fonction qui pour chaque date d'un fichier date, et pour chaque couple(nom:indice) d'un fichier valeur
-ecrire dans un nouveau fichier qui sappel {nom} un couple date:le reurn de la fonction get_closing_price_at_date(indice,date)
-"""
-def ecrireResultats(nom_fichier_dates, nom_fichier_valeurs):
-    with open(nom_fichier_dates, 'r') as fichier_dates:
-        dates = fichier_dates.readlines()  # Lire toutes les dates dans une liste
-    with open(nom_fichier_valeurs, 'r') as fichier_valeurs:
-        lignes_valeurs = fichier_valeurs.readlines()  # Lire toutes les lignes de valeurs
-        for ligne_valeurs in lignes_valeurs:
-            nom, indice = ligne_valeurs.strip().split(":")
-            for date in dates:
-                date = date.strip()
-                valeur = get_closing_price_at_date(indice, date)
-                nom_fichier_resultats = nom + ".txt"
-                with open(nom_fichier_resultats, 'a') as fichier_resultats:
-                    fichier_resultats.write(date + ":" + str(valeur) + "\n")
-
-
-# Exemple d'utilisation
-
-ecrireResultats("date.txt", "valeur.txt")

mise en place donné/Legrand.txt

@@ -1,644 +0,0 @@
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mise en place donné/Old/Extraire.py

@@ -1,62 +0,0 @@
-"""programme python qui :
-ouvre un fichier valeur.txt. puis pour chaque valeurs (une par ligne) crée un fichier dont le nom et la valeurs (fichier unitaire).
-Puis ouvre un fichier date.txt et qui pour chaque date du fichier (une date par ligne) va recupere dans le fichier (qui se nomme "valeur-date") qui se trouve dans le dossier valeur
-une variable avec la fonction trouver_valeur_max. Stock cette variable dans une nouvelle ligne du fichier unitaire de la valeur sous la forme ( date : valeur )
-si le fichier n'existe pas ecrire a cette date ecrire la derniere valeur connu
-"""
-
-
-def trouver_valeur_max(fichier):
-    # Ouvrir le fichier en mode lecture
-    with open(fichier, 'r') as f:
-        # Lire toutes les lignes du fichier
-        lignes = f.readlines()
-
-    # Vérifier si le fichier est vide
-    if not lignes:
-        return None
-
-    # Récupérer la dernière ligne du fichier
-    derniere_ligne = lignes[-1]
-
-    # Extraire la valeur à partir de la dernière ligne
-    valeur_max = derniere_ligne.strip()
-
-    return valeur_max
-
-
-# Ouvrir le fichier valeur.txt en mode lecture
-with open('valeur.txt', 'r') as fichier_valeur:
-    # Parcourir chaque ligne du fichier valeur.txt
-    for ligne_valeur in fichier_valeur:
-        # Nettoyer la ligne en supprimant les espaces et les sauts de ligne
-        valeur = ligne_valeur.strip()
-
-        # Créer un nouveau fichier avec le nom de la valeur
-        with open(f"{valeur}.txt", 'w') as fichier_unitaire:
-            # Écrire la valeur dans le fichier de sortie
-            fichier_unitaire.write(valeur)
-
-            # Ouvrir le fichier date.txt en mode lecture
-            with open('date.txt', 'r') as fichier_date:
-                # Parcourir chaque ligne du fichier date.txt
-                for ligne_date in fichier_date:
-                    # Nettoyer la ligne en supprimant les espaces et les sauts de ligne
-                    date = ligne_date.strip()
-
-                    # Construire le nom du fichier valeur-date
-                    nom_fichier = f"valeur-{date}.txt"
-
-                    # Récupérer la valeur maximale avec la fonction trouver_valeur_max
-                    valeur_max = trouver_valeur_max(nom_fichier)
-
-                    # Vérifier si le fichier existe
-                    if valeur_max is None:
-                        # Écrire la dernière valeur connue dans une nouvelle ligne du fichier unitaire
-                        fichier_unitaire.write(f"\n{date}: {valeur_max}")
-                    else:
-                        # Stocker la valeur maximale dans une nouvelle ligne du fichier unitaire
-                        ligne_resultat = f"{date}: {valeur_max}\n"
-                        fichier_unitaire.write(ligne_resultat)
-
-print("Opération terminée.")

mise en place donné/Old/NewExtract.py

@@ -1,37 +0,0 @@
-import yfinance as yf
-from datetime import datetime, timedelta
-
-def get_closing_price_at_date(stock_symbol, date):
-    # Convertir la date en format Y-m-d
-    formatted_date = date.strftime("%Y-%m-%d")
-    
-    start_date = date
-    end_date = date + timedelta(days=1)
-    
-    start_date = start_date.strftime("%Y-%m-%d")
-    end_date    = end_date.strftime("%Y-%m-%d")
-    # Récupérer les données historiques de l'action
-    stock = yf.Ticker(stock_symbol)
-    historical_data = stock.history(start=start_date, end=end_date)
-    
-    print (historical_data)
-    # Vérifier si des données sont disponibles pour la date spécifiée
-    if historical_data.empty:
-        return None
-
-    # Extraire le prix de clôture à la date donnée
-    closing_price = historical_data['Close'].iloc[0]
-
-    return closing_price
-
-
-
-# Exemple d'utilisation
-stock_symbol = "AIR.PA"  # Symbole boursier pour Airbus sur Euronext Paris
-date = datetime(2023, 5, 26)  # Date spécifiée
-
-closing_price = get_closing_price_at_date(stock_symbol, date)
-if closing_price is None:
-    print(f"Aucune donnée disponible pour l'action {stock_symbol} à la date {date.strftime('%d/%m/%Y')}")
-else:
-    print(f"Le cours de clôture de l'action {stock_symbol} le {date.strftime('%d/%m/%Y')} était de {closing_price}")

mise en place donné/Old/commande.txt

@@ -1,73 +0,0 @@
-mkdir Atos
-mkdir Axa
-mkdir BNP
-mkdir Bouygues
-mkdir Cac40
-mkdir Capgemini
-mkdir Carrefour
-mkdir Cr
-mkdir Danone
-mkdir Dassault
-mkdir Engie
-mkdir Essilor
-mkdir Groupe
-mkdir Hermes
-mkdir Kering
-mkdir Legrand
-mkdir LVMH
-mkdir Michelin
-mkdir Orange
-mkdir Pernod
-mkdir Publicis
-mkdir Renault
-mkdir Safran
-mkdir Saint
-mkdir Sanofi
-mkdir Schneider
-mkdir Soci
-mkdir Sodexo
-mkdir STM
-mkdir Technip
-mkdir Thales
-mkdir Total
-mkdir Unibail
-mkdir Veoli
-mkdir Vinvi
-mkdir Vivendi
-
-mv trier/*/*/Atos*  Atos
-mv trier/*/*/Axa*  Axa
-mv trier/*/*/BNP*  BNP
-mv trier/*/*/Bouygues*  Bouygues
-mv trier/*/*/Cac40*  Cac40
-mv trier/*/*/Capgemini*  Capgemini
-mv trier/*/*/Carrefour*  Carrefour
-mv trier/*/*/Cr*  Cr
-mv trier/*/*/Danone*  Danone
-mv trier/*/*/Dassault*  Dassault
-mv trier/*/*/Engie*  Engie
-mv trier/*/*/Essilor*  Essilor
-mv trier/*/*/Groupe*  Groupe
-mv trier/*/*/Hermes*  Hermes
-mv trier/*/*/Kering*  Kering
-mv trier/*/*/Legrand*  Legrand
-mv trier/*/*/LVMH*  LVMH
-mv trier/*/*/Michelin*  Michelin
-mv trier/*/*/Orange*  Orange
-mv trier/*/*/Pernod*  Pernod
-mv trier/*/*/Publicis*  Publicis
-mv trier/*/*/Renault*  Renault
-mv trier/*/*/Safran*  Safran
-mv trier/*/*/Saint*  Saint
-mv trier/*/*/Sanofi*  Sanofi
-mv trier/*/*/Schneider*  Schneider
-mv trier/*/*/Soci*  Soci
-mv trier/*/*/Sodexo*  Sodexo
-mv trier/*/*/STM*  STM
-mv trier/*/*/Technip*  Technip
-mv trier/*/*/Thales*  Thales
-mv trier/*/*/Total*  Total
-mv trier/*/*/Unibail*  Unibail
-mv trier/*/*/Veoli*  Veoli
-mv trier/*/*/Vinvi*  Vinvi
-mv trier/*/*/Vivendi*  Vivendi

mise en place donné/Orange.txt

@@ -1,644 +0,0 @@
-2-1-2020:11.810430526733398
-3-1-2020:11.886627197265625
-6-1-2020:11.82387638092041
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-13-1-2020:11.702858924865723
-14-1-2020:11.689412117004395
-15-1-2020:11.680447578430176
-16-1-2020:11.52357292175293
-17-1-2020:11.680447578430176
-20-1-2020:11.707341194152832
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-23-1-2020:11.707341194152832
-24-1-2020:11.734234809875488
-27-1-2020:11.604251861572266
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-29-1-2020:11.613216400146484
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-31-1-2020:11.478752136230469
-3-2-2020:11.47426986694336
-4-2-2020:11.321878433227539
-5-2-2020:11.299467086791992
-6-2-2020:11.4384126663208
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-10-2-2020:11.451858520507812
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-13-2-2020:11.895591735839844
-14-2-2020:11.976269721984863
-17-2-2020:11.998680114746094
-18-2-2020:12.039019584655762
-19-2-2020:12.061429977416992
-20-2-2020:12.047983169555664
-21-2-2020:12.043502807617188
-24-2-2020:11.859733581542969
-25-2-2020:11.613216400146484
-26-2-2020:11.572876930236816
-27-2-2020:11.411520004272461
-28-2-2020:10.927449226379395
-2-3-2020:10.918485641479492
-3-3-2020:10.86021614074707
-4-3-2020:11.241199493408203
-5-3-2020:11.06191349029541
-6-3-2020:10.846771240234375
-9-3-2020:10.129630088806152
-10-3-2020:9.721755981445312
-11-3-2020:9.609702110290527
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-1-4-2020:9.74864673614502
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mise en place donné/Peugeot.txt

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mise en place donné/STMicroelectronics.txt

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mise en place donné/Sanofi.txt

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mise en place donné/SocieteGenerale.txt

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