媳妇儿从事金融行业的，听说我最近在学 Python，要我帮她写一个回测用得代码。
数据集有两个 excel
第一个 excel 里的数据有过去 1000 天中，每天开始的 open 点，最高点，最低点和 close 点，还有媳妇儿设参数值 f1,f2,f3。
第二个 excel 里的数据有故去某些天，24 个小时或者部分小时的 open 点，最高点，最低点和 close 点。
结构如下图：
data_day.xlsx
data_hour.xlsx
需求是当找到两个表格日期相同的一天后，
按照第一个表格中前一天的四个点和三个参数求出当天需要用的 Bbreak 和 Sbreak。
然后比较当天中所有小时的数据，如果最高点大于 Bbreak，买点数量加一。如果最低点小于 Sbreak，卖点数量加一。
前面还要加一个选项，是否设置一个 base line。
如果设置 base line 了的话，如果当天最高点减去 Bbreak 大于 base line 的值，base
line 买点加一。如果 Sbreak 减去最低点大于 base line 的值，那么 base line 卖点加一。
最后把一共四个买卖点用直方图表示出来。
当然我媳妇儿说我这个其实是不严谨的。要不断完善。
好了，代码如下：
#!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Tue Jun 13 10:24:50 2017
@author: hans
"""
import matplotlib.pyplot as plt
import xlrd
currency = str(raw_input("请输入货币类型: "))
if currency == "eur":
cur_index = 0
elif currency == "xau":
cur_index = 1
elif currency == "GBP":
cur_index = 2
elif currency == "jpy":
cur_index = 3
elif currency == "cad":
cur_index = 4
else:
print "哎呀，你输入了错误的类型"
exit()
opt = str(raw_input("你想设置基准线吗？ (是/否)\n"))
if opt == '是':
bl = float(raw_input("请输入基准线: "))
bp_day = []
blbp_day = []
sp_day = []
blsp_day = []
date = []
index = []
data_day = xlrd.open_workbook('./data/data_day.xlsx')
table_day = data_day.sheets()[cur_index]
#table_day = data_day.sheet_by_name(u'currency') # load sheet by name
nrows_day = table_day.nrows
data_hour = xlrd.open_workbook('./data/data_hour.xlsx')
table_hour = data_hour.sheets()[cur_index]
nrows_hour = table_hour.nrows
def getdate(table, row):
date = xlrd.xldate_as_tuple(table.cell(row, 2).value, 0)
short_date = date[0:3]
return short_date
def getbenchmark(row):
Close = table_day.cell(row, 6).value
Low = table_day.cell(row, 5).value
High = table_day.cell(row, 4).value
f1 = table_day.cell(row, 7).value
# f2 = table_day.cell(row, 8).value
f3 = table_day.cell(row, 9).value
Bsetup = Low - f1 * (High - Close)
Ssetup = High + f1 * (Close - Low)
# Benter = (1 + f2) / 2 * (High + Low) - f2 * High
# Senter = (1 + f2) / 2 * (High + Low) - f2 * Low
Bbreak = Ssetup + f3 * (Ssetup - Bsetup)
Sbreak = Bsetup - f3 * (Ssetup - Bsetup)
return Bbreak, Sbreak
def autolabel(hists, local):
for hist in hists:
num = hist.get_height()
if local == 1:
plt.text(hist.get_x() + hist.get_width()/10., num + 0.1, '%s' %int(num))
elif local == -1:
plt.text(hist.get_x() + hist.get_width()/10., -(num + 1.3), '%s' %int(num))
i = 0
for r_day in range(nrows_day-1, 1, -1):
bp = 0
blbp = 0
sp = 0
blsp = 0
short_date_day = getdate(table_day,r_day)
for r_hour in range(nrows_hour-1-i, 1, -1):
short_date_hour = getdate(table_hour, r_hour)
if (short_date_day[0] > short_date_hour[0]):
continue
elif (short_date_day[0] == short_date_hour[0]) and \
(short_date_day[1] > short_date_hour[1]):
continue
elif (short_date_day[0] == short_date_hour[0]) and \
(short_date_day[1] == short_date_hour[1]) and \
(short_date_day[2] > short_date_hour[2]):
continue
elif (short_date_day[0] == short_date_hour[0]) and \
(short_date_day[1] == short_date_hour[1]) and \
(short_date_day[2] == short_date_hour[2]):
i += 1
if r_day+1 >= nrows_day:
continue
else:
Bbreak, Sbreak = getbenchmark(r_day+1)
cur_high = table_hour.cell(r_hour, 4).value
if (cur_high > Bbreak):
bp += 1
if 'bl' in dir() and (cur_high - Bbreak > bl):
blbp += 1
cur_low = table_hour.cell(r_hour, 5).value
if (cur_low < Sbreak):
sp += 1
if 'bl' in dir() and (Sbreak - cur_low > bl):
blsp += 1
else:
break
if bp != 0 or sp != 0:
bp_day.append(bp)
sp_day.append(sp)
date.append('%s/%s' %(short_date_day[1], short_date_day[2]))
if 'bl' in dir():
blbp_day.append(-blbp)
blsp_day.append(-blsp)
for i in range(len(bp_day)):
index.append(i)
bp_hist = plt.bar(tuple(index), tuple(bp_day), color = ('red'), \
label = ('bp'), width = 0.3)
sp_hist = plt.bar(tuple(index), tuple(sp_day), color = ('green'), \
label = ('sp'), width = -0.3)
autolabel(bp_hist, 1)
autolabel(sp_hist, 1)
if 'bl' in dir():
blbp_hist = plt.bar(tuple(index), tuple(blbp_day), color = ('blue'), \
label = ('blbp'), width = 0.3)
blsp_hist = plt.bar(tuple(index), tuple(blsp_day), color = ('yellow'), \
label = ('blsp'), width = -0.3)
autolabel(blbp_hist, -1)
autolabel(blsp_hist, -1)
plt.xticks(tuple(index), tuple(date))
plt.title('套利点')
plt.legend()
plt.show()