def transaction(username, volume, company, trans_type, algo_id):
    
    udao1 = User_stock_value_dao()
    udao2 = User_portfolio_dao()
    cdao = Company_dao()
    tdao = Transaction_dao()
    hdao = History_dao()

    c = cdao.get_company_model(company)

    ask = Decimal(c.get_ask())
    #time = datetime.datetime.utcnow()

    final = calculate_price(ask, volume)

    if trans_type == 'buy':
        u = udao2.get_user_portfolio_model(username)
        if final <= u.get_available_funds():
            tdao.buy(username, company, volume, ask, algo_id)
            hdao.insert(username, 'buy', company, ask, final, volume, algo_id)
            
            o = tdao.get_user_stock_value_model(username)
            
            if o.get_total_stock_values():
                udao1.update_total_stock_values(username, o.get_total_stock_values())

            if o.get_profit():
                udao1.update_profit(username, o.get_profit())
            
            up = udao2.get_user_portfolio_model(username)
            udao2.update_available_funds(username, Decimal(up.get_available_funds()) - final)
            
    elif trans_type == 'sell':

        o = tdao.get_owned_stock_model(username, company, ask)
        
        if o.get_volume() >= volume:
            tdao.sell(username, company, volume, ask, algo_id)
            hdao.insert(username, 'sell', company, ask, final, volume, algo_id)

            u = tdao.get_user_stock_value_model(username)    
            udao1.update_total_stock_values(username, u.get_total_stock_values())
            udao1.update_profit(username, u.get_profit())

            portfolio = udao2.get_user_portfolio_model(username)
            udao2.update_available_funds(username, Decimal(final) + Decimal(portfolio.get_available_funds()))
            udao2.update_total_portfolio(username, Decimal(final) + Decimal(portfolio.get_available_funds()) + Decimal(u.get_total_stock_values()))
Example #2
0
def transaction(username, volume, company, trans_type, algo_id):

    udao1 = User_stock_value_dao()
    udao2 = User_portfolio_dao()
    cdao = Company_dao()
    tdao = Transaction_dao()
    hdao = History_dao()

    c = cdao.get_company_model(company)

    ask = Decimal(c.get_ask())
    #time = datetime.datetime.utcnow()

    final = calculate_price(ask, volume)

    if trans_type == 'buy':
        u = udao2.get_user_portfolio_model(username)
        if final <= u.get_available_funds():
            tdao.buy(username, company, volume, ask, algo_id)
            hdao.insert(username, 'buy', company, ask, final, volume, algo_id)

            o = tdao.get_user_stock_value_model(username)

            if o.get_total_stock_values():
                udao1.update_total_stock_values(username,
                                                o.get_total_stock_values())

            if o.get_profit():
                udao1.update_profit(username, o.get_profit())

            up = udao2.get_user_portfolio_model(username)
            udao2.update_available_funds(
                username,
                Decimal(up.get_available_funds()) - final)

    elif trans_type == 'sell':

        o = tdao.get_owned_stock_model(username, company, ask)

        if o.get_volume() >= volume:
            tdao.sell(username, company, volume, ask, algo_id)
            hdao.insert(username, 'sell', company, ask, final, volume, algo_id)

            u = tdao.get_user_stock_value_model(username)
            udao1.update_total_stock_values(username,
                                            u.get_total_stock_values())
            udao1.update_profit(username, u.get_profit())

            portfolio = udao2.get_user_portfolio_model(username)
            udao2.update_available_funds(
                username,
                Decimal(final) + Decimal(portfolio.get_available_funds()))
            udao2.update_total_portfolio(
                username,
                Decimal(final) + Decimal(portfolio.get_available_funds()) +
                Decimal(u.get_total_stock_values()))
    portfolio_filter = form.getvalue("filter")

    if portfolio_filter == '1':
        filter_flag = "ALL"
    elif portfolio_filter == '2':
        filter_flag = "ALGOS"
    elif portfolio_filter == '0':
        filter_flag = "USER"
    else:
        filter_flag = portfolio_filter

tdao = Transaction_dao()
u2 = User_stock_value_dao()
u1 = User_portfolio_dao()
cdao = Company_dao()
hdao = History_dao()

data = {}

if filter_flag == "ALL":
    t = hdao.select_all(username)
    l = tdao.get_user_stock_list(username)
elif filter_flag == "ALGOS":
    t = hdao.select_all_algo_trades(username)
    l = tdao.get_all_algo_stock_list(username)
elif filter_flag == "USER":
    t = hdao.select_all_user_trades(username)
    l = tdao.get_only_user_stock_list(username)
else:
    t = hdao.select_algo_trades(username, filter_flag)
    l = tdao.get_algo_stock_list(username, filter_flag)
from decimal import *
sys.path.insert(0, str(LINK_HEADERS.DAO_LINK))
from history_dao import History_dao
from company_dao import Company_dao
from algorithms_dao import Algorithms_dao
from transaction_dao import Transaction_dao

print "Content-Type: text/html\r\n\r\n"

form = cgi.FieldStorage()

if form.getvalue("username") != None:
    username = form.getvalue("username")
#username='******'

hdao = History_dao()
cdao = Company_dao()
adao = Algorithms_dao()
tdao = Transaction_dao()
result = []
profit = 0
stock_model_dict = {}
stock_ask_dict = {}
volume_dict = {}
distinct_stocks = hdao.get_distinct_traded_stocks(username)
algorithm_details_list = hdao.get_algorithm_buy_sell_volume(
    username
)  #len(result) =  number of algo_ids list of algorithm details models
symbols_string = ""

if distinct_stocks:
    portfolio_filter = form.getvalue("filter")

    if portfolio_filter == '1':
        filter_flag = "ALL"
    elif portfolio_filter == '2':
        filter_flag = "ALGOS"
    elif portfolio_filter == '0':
        filter_flag = "USER"
    else:
        filter_flag = portfolio_filter
        
tdao = Transaction_dao()
u2 = User_stock_value_dao()
u1 = User_portfolio_dao()
cdao = Company_dao()
hdao = History_dao()

data={}

if filter_flag == "ALL":
    t = hdao.select_all(username)
    l = tdao.get_user_stock_list(username)
elif filter_flag == "ALGOS":
    t = hdao.select_all_algo_trades(username)
    l = tdao.get_all_algo_stock_list(username)
elif filter_flag == "USER":
    t = hdao.select_all_user_trades(username)
    l = tdao.get_only_user_stock_list(username)
else:
    t = hdao.select_algo_trades(username, filter_flag)
    l = tdao.get_algo_stock_list(username, filter_flag)
from decimal import *
sys.path.insert(0, str(LINK_HEADERS.DAO_LINK))
from history_dao import History_dao
from company_dao import Company_dao
from algorithms_dao import Algorithms_dao
from transaction_dao import Transaction_dao

print "Content-Type: text/html\r\n\r\n"

form = cgi.FieldStorage()

if form.getvalue("username") != None:
    username = form.getvalue("username")
#username='******'

hdao = History_dao()
cdao = Company_dao()
adao = Algorithms_dao()
tdao = Transaction_dao() 
result=[]
profit=0
stock_model_dict={}
stock_ask_dict={}    
volume_dict={}
distinct_stocks=hdao.get_distinct_traded_stocks(username)
algorithm_details_list = hdao.get_algorithm_buy_sell_volume(username) #len(result) =  number of algo_ids list of algorithm details models
symbols_string=""

if distinct_stocks:
    for i in range(len(distinct_stocks)):
        symbols_string+="'" + distinct_stocks[i].get_name() + "',"
Example #7
0
#!/usr/bin/python

import cgi, datetime, sys, LINK_HEADERS
import simplejson as json
sys.path.insert(0, str(LINK_HEADERS.DAO_LINK))
#from transaction_dao import Transaction_dao
from history_dao import History_dao
from algorithms_dao import Algorithms_dao

hdao = History_dao()
adao = Algorithms_dao()

print "Content-Type: text/html\r\n\r\n"


def get_all(username):
    result = hdao.get_all_volume_per_day(username)
    lst = []
    if result:
        for day in result:
            lst.append([day.get_date(), day.get_volume()])
        return {"name": "All", "data": lst}
    return False


def get_all_algos(username):
    result = hdao.get_all_algorithms_volume_per_day(username)
    lst = []
    if result:
        for day in result:
            lst.append([day.get_date(), day.get_volume()])