def dingdang(data, stock, stockname):
strategy = '叮当三号'
bars = {stock: PytdxToAwpBar(data)}
# print(bars[stock])
O = get_k_line_column(bars[stock], ohlc='open')
H = get_k_line_column(bars[stock], ohlc='high')
L = get_k_line_column(bars[stock], ohlc='low')
C = get_k_line_column(bars[stock], ohlc='close')
uperband = HHV(H, 23)
lowerband = LLV(L, 23)
dingdangline = MID(uperband, lowerband)
signalList = cross(C, dingdangline)
buysigdetail = CROSS(C, dingdangline)
sellsigdetail = CROSS(dingdangline, C)
try:
knum = len(H)
signalall = buysigdetail.count(True) * 2
avsigp = int(knum / signalall)
if buysigdetail[-1]:
print(stockname, '发出买入信号。。。')
ttsengine.say(strategy + stockname + '发出买入信号。')
ttsengine.runAndWait()
# playsound('2.wav')
print(stock, '最近的买入信号:', avsigp, buysigdetail[(knum - avsigp):])
# sleep(1)
sleep(2)
elif sellsigdetail[-1]:
print(stockname, '发出卖出信号。。。')
ttsengine.say(strategy + stockname + '发出卖出信号。')
ttsengine.runAndWait()
# playsound('Alarm04.wav')
print(stock, '最近的卖出信号:', avsigp, sellsigdetail[(knum - avsigp):])
# sleep(1)
sleep(2)
print('-' * 50)
except:
pass
H = get_k_line_column(bars, inst, granularity, ohlc='high')
L = get_k_line_column(bars, inst, granularity, ohlc='low')
C = get_k_line_column(bars, inst, granularity, ohlc='close')
lastk = get_last_k_line(bars, inst, granularity)
print(lastk)
uperband = HHV(H, 23)
lowerband = LLV(L, 23)
dingdangline = MID(uperband, lowerband)
signalList = cross(C, dingdangline)
buysigdetail = CROSS(C, dingdangline)
sellsigdetail = CROSS(dingdangline, C)
knum = len(H)
signalall = buysigdetail.count(True)
avsigp = knum / signalall
# print(buysigdetail.count(True))
# print(sellsigdetail.count(True))
# print len(O)
print(('buy signal:', avsigp, buysigdetail[(knum - avsigp):]))
print(('sell signal:', avsigp, sellsigdetail[(knum - avsigp):]))
# print be_apart_from(buysigdetail)
# print be_apart_from(sellsigdetail)
# 计算发出信号时刻，最近平均信号距离内的信号数量
sigsum2 = buysigdetail[(knum - avsigp):-2].count(True) + sellsigdetail[
(knum - avsigp):-2].count(True)
sigsum4 = sigsum2 * 2
def dingdangno6bksp(md, td, instid, instrumentid):
while True:
time.sleep(0.3)
if not md.q_depth_market_data.empty():
tick = q_depth_market_data.get()
tickToBar(tick, granularity)
dayopen = tick.OpenPrice
dayhigh = tick.HighestPrice
daylow = tick.LowestPrice
dayavp = int(tick.AveragePrice / 10)
BB = (tick.LastPrice -
daylow) / (dayhigh - daylow) if dayhigh != daylow else 0.5
siglast = min(be_apart_from(buysigdetail),
be_apart_from(sellsigdetail))
quote_info = "合约：{0},当前价格:{price},时间:{ttime},日内振幅：{1},价格位置：{2} 做多信号：{3},做空信号：{4}"
print(
quote_info.format(tick.InstrumentID,
dayhigh - daylow,
BB,
buysigdetail.count(True),
sellsigdetail.count(True),
price=tick.LastPrice,
ttime=tick.UpdateTime))
quote_info1 = "合约：{instid},日内振幅：{zhenfu},价格位置：{BB:.3f} 做多信号：{buynum},做空信号：{sellnum},信号距离:{siglast}"
info = {
'instid': tick.InstrumentID,
'zhenfu': dayhigh - daylow,
'buynum': buysigdetail.count(True),
'sellnum': sellsigdetail.count(True),
'BB': BB,
'siglast': siglast
}
print(quote_info1.format(**info))
knum = len(H)
signalall = buysigdetail.count(True)
avsigp = knum / signalall
# sigsum2 = buysigdetail[(knum - avsigp):-2].count(True) + sellsigdetail[(knum - avsigp):-2].count(True)
# sigsum4 = sigsum2 * 2
# sigsum5 = sigsum4 if sellsigdetail[-1] or buysigdetail[-1] else 0
#
# pp = min((sigsum5 + 1), 8)
buysigprice = C[len(C) - be_apart_from(buysigdetail)]
sellsigprice = C[len(C) - be_apart_from(sellsigdetail)]
sellsigprice1 = C[-1] if sellsigdetail[-1] else 0 # 另外一种方法。
lastsig = 'SK' if be_apart_from(buysigdetail) > be_apart_from(
sellsigdetail) else 'BK'
# if buysigdetail[-1] or sellsigdetail[-1]:
# knum = len(H)
# signalall = buysigdetail.count(True)
# avsigp = knum / signalall
# sigsum2 = buysigdetail[(knum - avsigp):-2].count(True) + sellsigdetail[(knum - avsigp):-2].count(True)
# sigsum3 = sigsum2 * 2
#
# pp = min((sigsum3 + 1), 8)
# posratio.append(pp)
if lastsig == 'BK':
bkprofit = tick.LastPrice - buysigprice
bkprofits.append(bkprofit)
bkpmax = max(bkprofits) if bkprofits else 0
bkpmin = min(bkprofits) if bkprofits else 0
print(INVESTOR_ID, '当前信号:', lastsig, '信号价:', buysigprice,
tick.LastPrice, '盈利价差:', bkprofit, '最大:', bkpmax, '最小',
bkpmin, '持续周期:', be_apart_from(buysigdetail), '理论持仓', pp)
sigprofit_info.append([lastsig, bkpmax, bkpmin])
print(('buy signal:', avsigp, buysigdetail[(knum - avsigp):],
pp))
elif lastsig == 'SK':
skprofit = sellsigprice - tick.LastPrice
skprofits.append(skprofit)
skpmax = max(skprofits) if skprofits else 0
skpmin = min(skprofits) if skprofits else 0
print('当前信号:', lastsig, '信号价：', sellsigprice, sellsigprice1,
tick.LastPrice, '盈利价差:', skprofit, '最大:', skpmax, '最小',
skpmin, '持续周期:', be_apart_from(sellsigdetail))
sigprofit_info.append(
[lastsig, max(skprofits),
min(skprofits)])
print(('sell signal:', avsigp, sellsigdetail[(knum - avsigp):],
pp))
# print tick.InstrumentID, dayhigh - daylow, BB, buysigdetail.count(True), sellsigdetail.count(True), min(
# be_apart_from(buysigdetail), be_apart_from(sellsigdetail))
if not q_signals.empty():
lastsig = q_signals.get()
print(lastsig)
O = get_k_line_column(bars, inst, granularity, ohlc='open')
H = get_k_line_column(bars, inst, granularity, ohlc='high')
L = get_k_line_column(bars, inst, granularity, ohlc='low')
C = get_k_line_column(bars, inst, granularity, ohlc='close')
lastk = get_last_k_line(bars, 'rb1905', 780)
print(lastk)
uperband = HHV(H, 23)
lowerband = LLV(L, 23)
dingdangline = MID(uperband, lowerband)
signalList = cross(C, dingdangline)
buysigdetail = CROSS(C, dingdangline)
sellsigdetail = CROSS(dingdangline, C)
knum = len(H)
signalall = buysigdetail.count(True)
avsigp = knum / signalall
# print(buysigdetail.count(True))
# print(sellsigdetail.count(True))
print('叮 当: ', dingdangline[(knum - avsigp):])
print('收盘价: ', C[(knum - avsigp):])
print(('buy signal:', avsigp, buysigdetail[(knum - avsigp):]))
print(('sell signal:', avsigp, sellsigdetail[(knum - avsigp):]))
if not q_bar.empty():
bar = q_bar.get()
bars[barinterval].append(bar)
with open(bardatafile, 'a') as f:
f.writelines(json.dumps(bar, ensure_ascii=False) + '\n')
print(len(bars[barinterval]))
# bar_s = dict()
# barss = load_data_from_server(server_base=serverport, instruments_id=inst, granularity=granularity)
# barinterval = inst + '_' + str(granularity)
# bar_s[barinterval] = barss
# print len(bar_s[barinterval])
lastk = get_last_k_line(bars, 'rb1905', 780)
print(lastk)
# O30 = get_k_line_column(bars, inst, 300, ohlc='open')
O = get_k_line_column(bars, inst, granularity, ohlc='open')
H = get_k_line_column(bars, inst, granularity, ohlc='high')
L = get_k_line_column(bars, inst, granularity, ohlc='low')
C = get_k_line_column(bars, inst, granularity, ohlc='close')
uperband = HHV(H, 23)
lowerband = LLV(L, 23)
dingdangline = MID(uperband, lowerband)
signalList = cross(C, dingdangline)
buysigdetail = CROSS(C, dingdangline)
sellsigdetail = CROSS(dingdangline, C)
knum = len(H)
signalall = buysigdetail.count(True)
avsigp = knum / signalall
# print(buysigdetail.count(True))
# print(sellsigdetail.count(True))
print(('buy signal:', avsigp, buysigdetail[(knum - avsigp):]))
print(('sell signal:', avsigp, sellsigdetail[(knum - avsigp):]))
print(
min(be_apart_from(buysigdetail), be_apart_from(sellsigdetail)))
# print be_apart_from(sellsigdetail)
# if buysigdetail[-1] or sellsigdetail[-1]: # 发出交易信号并确认，计算下单仓位
# knum = len(H)
# signalall = buysigdetail.count(True)
# avsigp = knum / signalall
# sigsum2 = buysigdetail[(knum - avsigp):-2].count(True) + sellsigdetail[(knum - avsigp):-2].count(True)
# sigsum3 = sigsum2 * 2
#
# pp = min((sigsum3 + 1), 8)
# posratio.append(pp)
if buysigdetail[-1]:
bkprofits = []
signal = {
'date_time': time.time(),
'signaltype': 'BK',
'signalprice': tick.LastPrice
}
q_signals.put(signal)
knum = len(H)
signalall = buysigdetail.count(True)
avsigp = knum / signalall
sigsum2 = buysigdetail[(knum - avsigp):-2].count(
True) + sellsigdetail[(knum - avsigp):-2].count(True)
sigsum3 = sigsum2 * 2
pp = min((sigsum3 + 1), 8)
order_price = tick.LastPrice
td.PrepareOrder(tick.InstrumentID, b, k, pp, order_price)
if sellsigdetail[-1]:
skprofits = []
signal = {
'date_time': time.time(),
'signaltype': 'SK',
'signalprice': tick.LastPrice
}
q_signals.put(signal)
order_price = tick.LastPrice
# TODO 暂时没有处理平昨仓和今仓,待处理... 应该有个完整的策略持仓管理模块
if bkprofit > 0:
td.PrepareOrder(tick.InstrumentID, s, p, pp, order_price)
# spk
sellcount = 0
down_trading_flag = False
H = get_k_line_column(bars, inst, granularity, ohlc='high')
L = get_k_line_column(bars, inst, granularity, ohlc='low')
C = get_k_line_column(bars, inst, granularity, ohlc='close')
lastk = get_last_k_line(bars, inst, granularity)
print(lastk)
uperband = HHV(H, 23)
lowerband = LLV(L, 23)
dingdangline = MID(uperband, lowerband)
signalList = cross(C, dingdangline)
buysigdetail = CROSS(C, dingdangline)
sellsigdetail = CROSS(dingdangline, C)
knum = len(H)
signalall = buysigdetail.count(True)
avsigp = knum / signalall
# print(buysigdetail.count(True))
# print(sellsigdetail.count(True))
# print len(O)
print(('buy signal:', avsigp, buysigdetail[(knum - avsigp):]))
print(('sell signal:', avsigp, sellsigdetail[(knum - avsigp):]))
# print be_apart_from(buysigdetail)
# print be_apart_from(sellsigdetail)
# 计算发出信号时刻，最近平均信号距离内的信号数量
sigsum2 = buysigdetail[(knum - avsigp):-2].count(True) + sellsigdetail[
(knum - avsigp):-2].count(True)
sigsum4 = sigsum2 * 2
def initStrategy(q_initdata):
bkprofits = []
skprofits = []
sigprofit_info = []
posratio = []
bkprofit = 0
skprofit = 0
initFund = 20000
instMultifier = 10
bars[barinterval] = list()
while not q_initdata.empty():
bar = q_initdata.get()
bars[barinterval].append(bar)
O = get_k_line_column(bars, inst, granularity, ohlc='open')
H = get_k_line_column(bars, inst, granularity, ohlc='high')
L = get_k_line_column(bars, inst, granularity, ohlc='low')
C = get_k_line_column(bars, inst, granularity, ohlc='close')
lastk = get_last_k_line(bars, inst, granularity)
print(lastk)
uperband = HHV(H, 23)
lowerband = LLV(L, 23)
dingdangline = MID(uperband, lowerband)
signalList = cross(C, dingdangline)
buysigdetail = CROSS(C, dingdangline)
sellsigdetail = CROSS(dingdangline, C)
pp = getPositionRatio(buysigdetail)
if buysigdetail[-1]:
initFund += skprofit * pp * instMultifier
bkprofits = []
# signal = {'date_time': time.time(), 'signaltype': 'BK', 'signalprice': tick.LastPrice}
# q_signals.put(signal)
knum = len(H)
signalall = buysigdetail.count(True)
avsigp = knum / signalall
sigsum2 = buysigdetail[(knum - avsigp):-2].count(
True) + sellsigdetail[(knum - avsigp):-2].count(True)
sigsum3 = sigsum2 * 2
pp = min((sigsum3 + 1), 8)
# order_price = tick.LastPrice
# td.PrepareOrder(tick.InstrumentID, b, k, pp, order_price)
# log.info(log.printfNow() + u'下多单:' + str(pp) + ',orderprice:' + str(order_price))
print('buy order issued.')
if sellsigdetail[-1]:
initFund += bkprofit * pp * instMultifier
skprofits = []
signal = {
'date_time': time.time(),
'signaltype': 'SK',
'signalprice': tick.LastPrice
}
q_signals.put(signal)
order_price = tick.LastPrice
# TODO 暂时没有处理平昨仓和今仓,待处理... 应该有个完整的策略持仓管理模块
td.PrepareOrder(tick.InstrumentID, s, p, pp, order_price)
log.info(log.printfNow() + '平多单:' + str(pp) + ',orderprice:' +
str(order_price))
print('close order issued...')
# spk
sellcount = 0
down_trading_flag = False
knum = len(H)
signalall = buysigdetail.count(True)
if signalall > 0:
avsigp = knum / signalall
# print(buysigdetail.count(True))
# print(sellsigdetail.count(True))
# print len(O)
print(('buy signal:', avsigp, buysigdetail[(knum - avsigp):]))
print(('sell signal:', avsigp, sellsigdetail[(knum - avsigp):]))
# print be_apart_from(buysigdetail)
# print be_apart_from(sellsigdetail)
# 计算发出信号时刻，最近平均信号距离内的信号数量
sigsum2 = buysigdetail[(knum - avsigp):-2].count(
True) + sellsigdetail[(knum - avsigp):-2].count(True)
sigsum4 = sigsum2 * 2
sigsum5 = sigsum4 if sellsigdetail[-1] or buysigdetail[-1] else 0
# pp = min((sigsum5+1)*10, 80)
# 计算下单仓位数量
pp = min((sigsum5 + 1), 8)
def dingdangNo6():
lastsig = ''
initFund = 20000
fundNow = 0
skprofit = 0
bkprofit = 0
initFund = 20000
feeRatio = 0.0065
instMultifier = 10
signalslist = list()
while True:
if not q_depth_market_data.empty():
tick = q_depth_market_data.get()
tickToBar(tick, granularity)
# dayopen = tick.OpenPrice
# dayhigh = tick.HighestPrice
# daylow = tick.LowestPrice
# dayavp = int(tick.AveragePrice / 10)
# BB = (tick.LastPrice - daylow) / (dayhigh - daylow) if dayhigh != daylow else 0.5
# siglast = min(be_apart_from(buysigdetail), be_apart_from(sellsigdetail))
# quote_info = "合约：{0},当前价格:{price},时间:{ttime},日内振幅：{1},价格位置：{2} 做多信号：{3},做空信号：{4}"
# # print quote_info.format(tick.InstrumentID,dayhigh - daylow,BB, buysigdetail.count(True),sellsigdetail.count(True), price=tick.LastPrice, ttime = tick.UpdateTime)
# quote_info1 = "合约：{instid},日内振幅：{zhenfu},价格位置：{BB:.3f} 做多信号：{buynum},做空信号：{sellnum},信号距离:{siglast}"
# info= {'instid': tick.InstrumentID,
# 'zhenfu' : dayhigh - daylow,
# 'buynum' : buysigdetail.count(True),
# 'sellnum' : sellsigdetail.count(True),
# 'BB':BB,
# 'siglast': siglast}
# # print quote_info1.format(**info)
# knum = len(H)
# signalall = buysigdetail.count(True)
#
# avsigp = knum / signalall
#
#
# buysigprice = C[len(C) - be_apart_from(buysigdetail)]
# sellsigprice = C[len(C) - be_apart_from(sellsigdetail)]
#
# sellsigprice1 = C[-1] if sellsigdetail[-1] else 0 # 另外一种方法。
#
# lastsig = 'SK' if be_apart_from(buysigdetail) > be_apart_from(sellsigdetail) else 'BK'
#
#
if not q_signals.empty():
lastsigdict = q_signals.get()
print(lastsigdict)
# O = get_k_line_column(bars, inst, granularity, ohlc='open')
# H = get_k_line_column(bars, inst, granularity, ohlc='high')
# L = get_k_line_column(bars, inst, granularity, ohlc='low')
# C = get_k_line_column(bars, inst, granularity, ohlc='close')
#
# lastk = get_last_k_line(bars, 'rb1905', 780)
# print lastk
#
# uperband = HHV(H, 23)
# lowerband = LLV(L, 23)
# dingdangline = MID(uperband, lowerband)
# signalList = cross(C, dingdangline)
# buysigdetail = CROSS(C, dingdangline)
# sellsigdetail = CROSS(dingdangline, C)
#
# knum = len(H)
#
# signalall = buysigdetail.count(True)
#
# avsigp = knum / signalall if signalall > 0 else knum
#
# # print(buysigdetail.count(True))
# # print(sellsigdetail.count(True))
# print u'叮 当: ', dingdangline[(knum - avsigp):]
# print u'收盘价: ', C[(knum - avsigp):]
# # print('buy signal:', avsigp, buysigdetail[(knum - avsigp):])
# # print('sell signal:', avsigp, sellsigdetail[(knum - avsigp):])
if not q_bar.empty():
bar = q_bar.get()
bars[barinterval].append(bar)
# with open(bardatafile, 'a') as f:
# f.writelines(json.dumps(bar, ensure_ascii=False) + '\n')
print(len(bars[barinterval]))
lastk = get_last_k_line(bars, 'rb1905', 780)
print(lastk)
# O30 = get_k_line_column(bars, inst, 300, ohlc='open')
O = get_k_line_column(bars, inst, granularity, ohlc='open')
H = get_k_line_column(bars, inst, granularity, ohlc='high')
L = get_k_line_column(bars, inst, granularity, ohlc='low')
C = get_k_line_column(bars, inst, granularity, ohlc='close')
uperband = HHV(H, 23)
lowerband = LLV(L, 23)
dingdangline = MID(uperband, lowerband)
if cross2(C[-2:], dingdangline[-2:]):
signalslist.append('bk')
elif cross2(
dingdangline[-2:],
C[-2:],
):
signalslist.append('sk')
else:
signalslist.append(None)
signalList = cross(C, dingdangline)
buysigdetail = CROSS(C, dingdangline)
sellsigdetail = CROSS(dingdangline, C)
knum = len(H)
signalall = signalslist.count('bk') + signalslist.count(
'sk') + signalslist.count('bp') + signalslist.count('sp')
signalall1 = buysigdetail.count(True) + sellsigdetail.count(True)
avsigp = knum / signalall if signalall > 0 else knum
print(('buysig all:', buysigdetail.count(True)))
print(('sellsig all:', sellsigdetail.count(True)))
print(('buy signal:', avsigp, buysigdetail[(knum - avsigp):]))
print(('sell signal:', avsigp, sellsigdetail[(knum - avsigp):]))
# print min(be_apart_from(buysigdetail), be_apart_from(sellsigdetail))
# print be_apart_from(sellsigdetail)
# pp= getPositionRatio(buysigdetail)
if buysigdetail[-1]:
pp = getPositionRatio(sellsigdetail)
initFund += skprofit * pp * instMultifier - (
pp * instMultifier * tick.LastPrice / 10000) * 2
bkprofits = []
signal = {
'date_time': time.time(),
'signaltype': 'BK',
'signalprice': tick.LastPrice
}
q_signals.put(signal)
knum = len(H)
signalall = buysigdetail.count(True)
avsigp = knum / signalall
sigsum2 = buysigdetail[(knum - avsigp):-2].count(
True) + sellsigdetail[(knum - avsigp):-2].count(True)
sigsum3 = sigsum2 * 2
pp = min((sigsum3 + 1), 8)
order_price = tick.LastPrice
# td.PrepareOrder(tick.InstrumentID, b, k, pp, order_price)
# log.info(log.printfNow() + u'下多单:' + str(pp) + ',orderprice:'+str(order_price))
print('buy order issued.')
lastsig = 'BK'
buysigprice = tick.LastPrice
print('buysigprice', buysigprice)
if sellsigdetail[-1]:
pp = getPositionRatio(buysigdetail)
initFund += bkprofit * pp * instMultifier - (
pp * instMultifier * tick.LastPrice / 10000) * 2
skprofits = []
signal = {
'date_time': time.time(),
'signaltype': 'SK',
'signalprice': tick.LastPrice
}
q_signals.put(signal)
# order_price = tick.LastPrice
#
# # TODO 暂时没有处理平昨仓和今仓,待处理... 应该有个完整的策略持仓管理模块
#
# td.PrepareOrder(tick.InstrumentID, s, p, pp, order_price)
#
# log.info(log.printfNow() + u'平多单:' + str(pp) + ',orderprice:'+str(order_price))
# print('close order issued...')
lastsig = 'SK'
sellsigprice = tick.LastPrice
print('sellsigprice', sellsigprice)
if lastsig == 'BK':
print(tick.LastPrice, buysigprice)
bkprofit = tick.LastPrice - buysigprice
print(bkprofit)
bkprofits.append(bkprofit)
bkpmax = max(bkprofits) if bkprofits else 0
bkpmin = min(bkprofits) if bkprofits else 0
print('当前信号:', lastsig, '信号价:', buysigprice, tick.LastPrice,
'盈利价差:', bkprofit, '最大:', bkpmax, '最小', bkpmin, '持续周期:',
be_apart_from(buysigdetail), '理论持仓', pp)
sigprofit_info.append([lastsig, bkpmax, bkpmin])
# print('buy signal:', avsigp, buysigdetail[(knum - avsigp):], pp)
fundNow = initFund + bkprofit * pp * instMultifier
elif lastsig == 'SK':
skprofit = sellsigprice - tick.LastPrice
skprofits.append(skprofit)
skpmax = max(skprofits) if skprofits else 0
skpmin = min(skprofits) if skprofits else 0
print('当前信号:', lastsig, '信号价：', sellsigprice, sellsigprice,
tick.LastPrice, '盈利价差:', skprofit, '最大:', skpmax, '最小',
skpmin, '持续周期:', be_apart_from(sellsigdetail))
sigprofit_info.append(
[lastsig, max(skprofits),
min(skprofits)])
print(('sell signal:', avsigp, sellsigdetail[(knum - avsigp):],
pp))
fundNow = initFund + skprofit * pp * instMultifier
print('初始权益：', initFund, '策略当前权益: ', fundNow)
H = get_k_line_column(bars, inst, granularity, ohlc='high')
L = get_k_line_column(bars, inst, granularity, ohlc='low')
C = get_k_line_column(bars, inst, granularity, ohlc='close')
lastk = get_last_k_line(bars, inst, granularity)
print(lastk)
uperband = HHV(H, 23)
lowerband = LLV(L, 23)
dingdangline = MID(uperband, lowerband)
signalList = cross(C, dingdangline)
buysigdetail = CROSS(C, dingdangline)
sellsigdetail = CROSS(dingdangline, C)
knum = len(H)
signalall = buysigdetail.count(True)
avsigp = knum / signalall
# print(buysigdetail.count(True))
# print(sellsigdetail.count(True))
# print len(O)
print(('buy signal:', avsigp, buysigdetail[(knum - avsigp):]))
print(('sell signal:', avsigp, sellsigdetail[(knum - avsigp):]))
# print be_apart_from(buysigdetail)
# print be_apart_from(sellsigdetail)
# 计算发出信号时刻，最近平均信号距离内的信号数量
sigsum2 = buysigdetail[(knum - avsigp):-2].count(True) + sellsigdetail[(knum - avsigp):-2].count(True)
sigsum4 = sigsum2 * 2
sigsum5 = sigsum4 if sellsigdetail[-1] or buysigdetail[-1] else 0