def alert(request):
if request.method == 'GET':
raise Http404
else:
GoalRecord.record("emailsubmitted", WebUser(request))
email = request.POST['email']
new_email = Email_Collector(email=email)
new_email.save()
return HttpResponse('ok')
def alert(request):
if request.method == 'GET':
raise Http404
else:
GoalRecord.record("emailsubmitted", WebUser(request))
email = request.POST['email']
new_email = Email_Collector(email=email)
new_email.save()
return HttpResponse('ok')
def query_data(request):
if request.method == "POST":
raise Http404
else:
GoalRecord.record("query", WebUser(request))
try:
symbol = request.GET["symbol"]
start_date = request.GET["start_date"].replace('/','')
end_date = request.GET["end_date"].replace('/','')
buy_query_1 = request.GET.getlist("buy_query_1")
sell_query_1 = request.GET.getlist("sell_query_1")
buy_query_2 = request.GET.getlist("buy_query_2")
sell_query_2 = request.GET.getlist("sell_query_2")
buy_query_3 = request.GET.getlist("buy_query_3")
sell_query_3 = request.GET.getlist("sell_query_3")
stop_loss_percent = request.GET.get("stop_loss_percent", None)
except Exception as e:
return HttpResponse(jsonpickle.encode(Return_Code(value="3001", contents=e)))
utils = Utils()
service = Service()
buy_queries = []
sell_queries = []
if buy_query_1:
buy_queries.append(buy_query_1)
if buy_query_2:
buy_queries.append(buy_query_2)
if buy_query_3:
buy_queries.append(buy_query_3)
if sell_query_1:
sell_queries.append(sell_query_1)
if sell_query_2:
sell_queries.append(sell_query_2)
if sell_query_3:
sell_queries.append(sell_query_3)
if buy_queries and sell_queries:
all_buy_points, buy_indicators_data_list = service.execute_logical_or_queries(symbol, start_date, end_date, buy_queries)
all_sell_points, sell_indicators_data_list = service.execute_logical_or_queries(symbol, start_date, end_date, sell_queries)
for indicators_data in sell_indicators_data_list:
buy_indicators_data_list.append(indicators_data)
backtester = Backtester()
account = TradingAccount(cash_balance=10000)
timeline, account_summary = backtester.execute_long_strategy(all_buy_points, all_sell_points, account, stop_loss_percent)
indicators_data = utils.convert_indicators_data_to_nicks_specifications(buy_indicators_data_list)
result = {"data":timeline, "indicators_data":indicators_data, "summary":account_summary}
elif buy_queries and not sell_queries:
all_buy_points, buy_indicators_data_list = service.execute_logical_or_queries(symbol, start_date, end_date, buy_queries)
indicators_data = utils.convert_indicators_data_to_nicks_specifications(buy_indicators_data_list)
result = {"data":all_buy_points, "indicators_data":indicators_data, "summary":None}
elif not buy_queries and sell_queries:
all_sell_points, sell_indicators_data_list = service.execute_logical_or_queries(symbol, start_date, end_date, sell_queries)
indicators_data = utils.convert_indicators_data_to_nicks_specifications(sell_indicators_data_list)
result = {"data":all_sell_points, "indicators_data":indicators_data, "summary":None}
return HttpResponse(jsonpickle.encode(Return_Code(value="3000", contents=result)))
def cheatsheet(request):
GoalRecord.record("cheatsheet", WebUser(request))
return render_to_response("cheatsheet.html", context_instance=RequestContext(request))
def tour(request):
GoalRecord.record("tour", WebUser(request))
return render_to_response("tour.html", context_instance=RequestContext(request))
def cheatsheet(request):
GoalRecord.record("cheatsheet", WebUser(request))
return render_to_response("cheatsheet.html",
context_instance=RequestContext(request))
def tour(request):
GoalRecord.record("tour", WebUser(request))
return render_to_response("tour.html",
context_instance=RequestContext(request))
def query_data(request):
if request.method == "POST":
raise Http404
else:
GoalRecord.record("query", WebUser(request))
try:
symbol = request.GET["symbol"]
start_date = request.GET["start_date"].replace('/', '')
end_date = request.GET["end_date"].replace('/', '')
buy_query_1 = request.GET.getlist("buy_query_1")
sell_query_1 = request.GET.getlist("sell_query_1")
buy_query_2 = request.GET.getlist("buy_query_2")
sell_query_2 = request.GET.getlist("sell_query_2")
buy_query_3 = request.GET.getlist("buy_query_3")
sell_query_3 = request.GET.getlist("sell_query_3")
stop_loss_percent = request.GET.get("stop_loss_percent", None)
except Exception as e:
return HttpResponse(
jsonpickle.encode(Return_Code(value="3001", contents=e)))
utils = Utils()
service = Service()
buy_queries = []
sell_queries = []
if buy_query_1:
buy_queries.append(buy_query_1)
if buy_query_2:
buy_queries.append(buy_query_2)
if buy_query_3:
buy_queries.append(buy_query_3)
if sell_query_1:
sell_queries.append(sell_query_1)
if sell_query_2:
sell_queries.append(sell_query_2)
if sell_query_3:
sell_queries.append(sell_query_3)
if buy_queries and sell_queries:
all_buy_points, buy_indicators_data_list = service.execute_logical_or_queries(
symbol, start_date, end_date, buy_queries)
all_sell_points, sell_indicators_data_list = service.execute_logical_or_queries(
symbol, start_date, end_date, sell_queries)
for indicators_data in sell_indicators_data_list:
buy_indicators_data_list.append(indicators_data)
backtester = Backtester()
account = TradingAccount(cash_balance=10000)
timeline, account_summary = backtester.execute_long_strategy(
all_buy_points, all_sell_points, account, stop_loss_percent)
indicators_data = utils.convert_indicators_data_to_nicks_specifications(
buy_indicators_data_list)
result = {
"data": timeline,
"indicators_data": indicators_data,
"summary": account_summary
}
elif buy_queries and not sell_queries:
all_buy_points, buy_indicators_data_list = service.execute_logical_or_queries(
symbol, start_date, end_date, buy_queries)
indicators_data = utils.convert_indicators_data_to_nicks_specifications(
buy_indicators_data_list)
result = {
"data": all_buy_points,
"indicators_data": indicators_data,
"summary": None
}
elif not buy_queries and sell_queries:
all_sell_points, sell_indicators_data_list = service.execute_logical_or_queries(
symbol, start_date, end_date, sell_queries)
indicators_data = utils.convert_indicators_data_to_nicks_specifications(
sell_indicators_data_list)
result = {
"data": all_sell_points,
"indicators_data": indicators_data,
"summary": None
}
return HttpResponse(
jsonpickle.encode(Return_Code(value="3000", contents=result)))
