def make_level(self, klines, open_wait, open_end, open_out, wait_price1, wait_price2):
if (self.position <= -1):
return
'''
open_wait = 10
open_end = 30
open_out = 50
#monitor_bar = 20
#wait_price1 = 10
wait_price2 = 20
'''
#lt = self.get_real_time()
#start_time = tool_utils.datetime_to_localtime(self.mark_start_time)
min_passed = self.cur_bar_id - self.mark_start_bar
open_inday = self.get_open_price()
self.debug("min_passed=%d"%(min_passed))
# 开仓时间
if (min_passed > open_wait and min_passed < open_end):
hh = pplib.get_hest_in_range(klines, 1, open_wait)
if (hh - open_inday > wait_price1):
self.set_position(1)
elif (min_passed > open_end and min_passed < open_out):
bars = open_end - open_wait
bars = int(bars/2)
if (bars < 6):
bars = 6
c_sum = pplib.get_checksum(klines, bars, 1)
hh = pplib.get_hest_in_range(klines, 1, self.cur_bar)
if (abs(c_sum) < 6 and hh-open_inday> wait_price2):
self.set_position(-1)
elif (min_passed > open_out and min_passed < open_out + 120):
c_sum = pplib.get_checksum(klines, int(open_out/2), 1)
if (abs(c_sum) < 5):
self.set_position(-1)
def on_bar_10(self, klines):
self.range_height_30 = pplib.get_height_in_range(klines, 1, 31)
if (self.range_height_30 < 20):
hh = pplib.get_hest_in_range(klines, 1, 30)
ll = pplib.get_lest_in_range(klines, 1, 30)
bars = pplib.get_continus_bars_in_height(klines, 1, self.cur_bar,
hh, ll) #在区间范围内的bar数
range_inday = self.hest_inday - self.lest_inday
if (range_inday > 30):
# todo: 排除个别
param = ParamUnion()
param.put_param("bars", bars)
param.put_param("height", self.range_height_30)
avg_10 = pplib.get_avg_price(klines, 11)
if (self.hest_inday - avg_10 < (avg_10 - self.lest_inday)):
self.manager.drive_event(self.TAG, StgEvent.LowRangeAtTop,
range_inday)
else:
self.manager.drive_event(self.TAG,
StgEvent.LowRangeAtBottom,
range_inday)
else:
self.manager.drive_event(self.TAG, StgEvent.LowRange,
range_inday)
self.generate_price_action()
def find_bigbang(self, klines):
#速度
ck_sum_10 = pplib.get_checksum(klines, 11, 1)
if (abs(ck_sum_10) > 10):
pass
'''
msg = "ck_sum_10=%d"%(ck_sum_10)
self.info(msg)
'''
if (ck_sum_10 > self.max_ck_sum):
self.max_ck_sum = ck_sum_10
msg = "max_ck_sum_10=%d"%(ck_sum_10)
self.info(msg)
if (ck_sum_10 < self.min_ck_sum):
self.min_ck_sum = ck_sum_10
msg = "min_ck_sum_10=%d"%(ck_sum_10)
self.info(msg)
# 高度
# cksum 和 height有重复
height_10 = pplib.get_hest_in_range(klines, 1, 11)
if (ck_sum_10 > 20 or (height_10> 20 and ck_sum_10>10)):
self.last_big_up_bang = self.get_current_minute_bar()
if (height_10 > 25):
self.strong_level = 2
if (ck_sum_10 < -20 or (height_10> 20 and ck_sum_10<-10)):
self.last_big_down_bang = self.get_current_minute_bar()
if (height_10 > 25):
self.strong_level = -2
def find_break2(self, klines):
region_hh = pplib.get_hest_in_range(klines, 10, 10+30)
region_ll = pplib.get_lest_in_range(klines, 10, 10+30)
# 标记
if (klines.iloc[-1].close > region_hh):
self.break_region_bar = 1
elif (klines.iloc[-1].close < region_ll):
self.break_region_bar = -1
def risk_monitor(self, klines):
#关键时刻
hh_inday = self.get_highest_today()
hh_inday_bar = self.get_highest_bar_today()
if (self.hh_50 - hh_inday < 30 and hh_inday_bar < 60):
if (self.to_hh_50_bar < 6):
max_long_pos = 2
else:
max_long_pos = 1
if (max_long_pos > 0
and self.manager.get_cfg_max_long_pos() > max_long_pos):
self.manager.set_max_long_pos(max_long_pos)
self.debug("set_max_long_pos(%d)" % (max_long_pos))
ll_inday = self.get_lowest_today()
ll_inday_bar = self.get_lowest_bar_today()
if (ll_inday - self.ll_50 < 30 and ll_inday_bar < 60):
if (self.to_ll_50_bar < 6):
max_short_pos = 2
else:
max_short_pos = 1
if (max_short_pos > 0
and self.manager.get_cfg_max_short_pos() > max_short_pos):
self.manager.set_max_long_pos(max_short_pos)
self.debug("set_max_short_pos(%d)" % (max_short_pos))
#tm_hour = 9 or 13:30
#关键位置
if (self.key_hh != 0):
if (self.key_mark_flag == 0):
hh_5 = pplib.get_hest_in_range(klines, 1, 6)
if (hh_5 >= self.key_hh):
self.key_mark_bar = self.cur_bar_id
self.key_mark_flag = 1
self.position -= 1
self.set_position(self.position)
elif (self.key_mark_flag == 1):
if (self.cur_bar_id - self.key_mark_bar > 25):
self.key_mark_flag = 2
elif (self.key_mark_bar == 2):
self.position += 1
self.set_position(self.position)
if (self.key_ll != 0):
if (self.key_mark_flag == 0):
ll_5 = pplib.get_lest_in_range(klines, 1, 6)
if (ll_5 <= self.key_ll):
self.key_mark_bar = self.cur_bar_id
self.key_mark_flag = 1
self.position += 1
self.set_position(self.position)
elif (self.key_mark_flag == 1):
if (self.cur_bar_id - self.key_mark_bar > 25):
self.key_mark_flag = 2
elif (self.key_mark_bar == 2):
self.position -= 1
self.set_position(self.position)
def init_data(self, klines):
self.init_flag = True
cur_bar = self.get_current_minute_bar()
if (cur_bar > 2):
self.open_price = pplib.get_open_today(klines, 1)
self.lest_inday = pplib.get_lest_in_range(klines, 1, cur_bar)
self.hest_inday = pplib.get_hest_in_range(klines, 1, cur_bar)
else:
self.open_price = klines.iloc[-1].open
self.lest_inday = klines.iloc[-1].open
self.hest_inday = klines.iloc[-1].open
def get_daybar_score(self, klines, id):
self.debug("======analyze [%s] daybar=========" %
(tafunc.time_to_str(klines.iloc[-id].datetime)))
self.debug("当日：open=%d close=%d" %
(klines.iloc[-1].open, klines.iloc[-1].close))
self.debug("昨日：open=%d close=%d" %
(klines.iloc[-id].open, klines.iloc[-id].close))
#突破+40
#Bigbang30
#连续+10
#震荡上一个绿+10
#底部+10
BreakScore = 30
BigBangScore = 20
CheckSumScore = 20
ContinueScore = 10
InRangeAdjust = 10
TopBomScore = 10
RED_GREEN_SCORE = 10
self.kpi = 0
self.cur_day_bar = id
if (self.cur_price == 0):
self.cur_price = klines.iloc[-id].close
#常用数据
atr = ATR(klines, 30)
self.ATR_day = int(atr.atr.iloc[-id])
print("[%s] self.ATR_day=%d" % (self.TAG, self.ATR_day))
# big bang find
self.last_big_green_candle, self.last_big_green_candle_hight = pplib.find_big_green_candle(
klines, 1, id, id + 20, atr.atr.iloc[-id] * 1.5)
self.last_big_red_candle, self.last_big_red_candle_height = pplib.find_big_red_candle(
klines, 1, id, id + 20, atr.atr.iloc[-id] * 1.5)
# big bang score
if (self.last_big_red_candle - id < 10
and self.last_big_red_candle < self.last_big_green_candle):
self.kpi = self.kpi + (11 - (self.last_big_red_candle - id)) * (
BigBangScore / 10) + int(
(self.last_big_red_candle - atr.atr.iloc[-id] * 1.5) /
50) * 5
if (self.last_big_green_candle - id < 10
and self.last_big_red_candle < self.last_big_green_candle):
self.kpi = self.kpi - (11 - (self.last_big_green_candle - 1)) * (
BigBangScore / 10) - int(
(self.last_big_red_candle - atr.atr.iloc[-id] * 1.5) /
50) * 5
print(
"[%s] self.last_big_red_candle=%d, self.last_big_green_candle=%d" %
(self.TAG, self.last_big_red_candle, self.last_big_green_candle))
print("[%s] kpi=%d" % (self.TAG, self.kpi))
#continue find
self.last_continue_up_bar = 999
self.last_continue_down_bar = 999
for i in range(id, id + 6):
count = 0
for j in range(0, 3):
if (klines.iloc[-(i + j)].open < klines.iloc[-(i + j)].close):
count = count + 1
else:
count = count - 1
if (count >= 3):
self.last_continue_up_bar = i
break
elif (count <= -3):
self.last_continue_down_bar = i
break
#连续
if (self.last_continue_up_bar - id <= 1):
self.kpi = self.kpi + ContinueScore
if (self.last_continue_down_bar - id <= 1):
self.kpi = self.kpi - ContinueScore
print(
"[%s] self.last_continue_up_bar=%d self.last_continue_down_bar=%d"
%
(self.TAG, self.last_continue_up_bar, self.last_continue_down_bar))
print("[%s] kpi=%d after ContinueScore" % (self.TAG, self.kpi))
#checksum
self.day_checksum_4 = pplib.get_checksum(klines, 5, 1)
cks_ret = abs(self.day_checksum_4) / self.ATR_day
print("[%s] self.day_checksum_4=%d cks_ret=%f" %
(self.TAG, self.day_checksum_4, cks_ret))
cks_score = 0
cks_weight = 0.2
if (cks_ret > 1.5):
cks_weight = 1
elif (cks_ret > 1):
cks_weight = 0.7
elif (cks_ret > 0.5):
cks_weight = 0.5
else:
cks_weight = 0.2
if (self.day_checksum_4 > 0):
cks_score = int(CheckSumScore * cks_weight)
if (self.day_checksum_4 < 0):
cks_score = -int(CheckSumScore * cks_weight)
print("[%s] cks_score=%d" % (self.TAG, cks_score))
# inrange find
heightest = 1000
heightest_bar = 1
'''
for i in range(id, id+2):
height = pplib.get_height_in_range(klines, i, i+3)
if (height > heightest):
heightest = height
heightest_bar = i
'''
heightest = pplib.get_height_in_range(klines, id, id + 5)
result = heightest / atr.atr.iloc[-i]
print("[%s] result=%f" % (self.TAG, result))
if (result < 1.5):
self.last_inrange_bar = heightest_bar
self.last_inrange_height = heightest
self.last_inrange_high = pplib.get_hest_in_range(klines, id, id + 5)
self.last_inrange_low = pplib.get_lest_in_range(klines, id, id + 5)
#inrange score
if (self.last_inrange_bar - id < 2
and self.last_continue_up_bar - id > 3
and self.last_continue_down_bar - id > 3):
if (klines.iloc[-id].close > klines.iloc[-id].open):
self.kpi = self.kpi - InRangeAdjust
else:
self.kpi = self.kpi - InRangeAdjust
print("[%s] last_inrange_bar=%d" % (self.TAG, self.last_inrange_bar))
self.debug(
"last_inrange_high=%d last_inrange_low=%d last_inrange_height=%d" %
(self.last_inrange_high, self.last_inrange_low,
self.last_inrange_height))
print("[%s] kpi=%d" % (self.TAG, self.kpi))
#===================================================#
# break find
self.last_break_up_bar = 999
self.last_break_down_bar = 999
for i in range(id, id + 6):
tmp = pplib.get_hest_in_range(klines, i + 1, i + 1 + 4)
if (klines.iloc[-i].close > tmp):
self.last_break_up_bar = i
break
for i in range(id, id + 6):
tmp = pplib.get_lest_in_range(klines, i + 1, i + 1 + 4)
if (klines.iloc[-i].close < tmp):
self.last_break_down_bar = i
break
#break
if (self.last_break_up_bar - id == 0):
self.kpi = self.kpi + BreakScore
elif (self.last_break_up_bar - id == 1):
self.kpi = self.kpi + int(BreakScore / 2)
elif (self.last_break_up_bar - id == 2):
self.kpi = self.kpi + int(BreakScore / 3)
if (self.last_break_down_bar - id == 0):
self.kpi = self.kpi - BreakScore
elif (self.last_break_down_bar - id == 1):
self.kpi = self.kpi - int(BreakScore / 2)
elif (self.last_break_down_bar - id == 2):
self.kpi = self.kpi - int(BreakScore / 3)
print("[%s] self.last_break_up_bar=%d self.last_break_down_bar=%d " %
(self.TAG, self.last_break_up_bar, self.last_break_down_bar))
print("[%s] kpi=%d" % (self.TAG, self.kpi))
#=====================================#
# price pos find
self.hh_100, self.hh_100_bar = pplib.get_hest_in_range2(
klines, id, id + 100)
self.ll_100, self.ll_100_bar = pplib.get_lest_in_range2(
klines, id, id + 100)
price_pos_ratio = (self.cur_price - self.ll_100) / (self.hh_100 -
self.ll_100)
if (price_pos_ratio <= 0.5):
self.kpi = self.kpi + (5 - int(price_pos_ratio * TopBomScore)) * 2
else:
self.kpi = self.kpi - (int(price_pos_ratio * TopBomScore) - 5) * 2
print("[%s] price_pos_ratio=%f" % (self.TAG, price_pos_ratio))
print("[%s] kpi=%d" % (self.TAG, self.kpi))
#++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++#
#修正
if (self.last_break_up_bar - id <= 2
and self.last_big_red_candle - id < 6):
print("last_break_up_bar=%d last_big_red_candle=%d " %
(self.last_break_up_bar - id <= 2,
self.last_big_red_candle - id))
self.kpi += 20
if (self.last_break_down_bar - id <= 2
and self.last_big_green_candle - id < 6):
self.kpi -= 20
if (self.last_break_up_bar - id <= 2 and price_pos_ratio < 0.6):
self.kpi += 20
print("last_break_up_bar=%d price_pos_ratio=%d " %
(self.last_break_up_bar - id <= 2, price_pos_ratio))
if (self.last_break_down_bar - id <= 2
and self.last_big_green_candle - id < 6):
self.kpi -= 20
#print ("height=%d atr=%d wave ratio=%f "%(height, atr.atr.iloc[-i], height/atr.atr.iloc[-i]))
print("[%s] kpi=%d" % (self.TAG, self.kpi))
#=====================================================================#
# 距离底、顶的距离
self.hh_20, self.hh_20_bar = pplib.get_hest_in_range2(
klines, id, id + 20)
self.ll_20, self.ll_20_bar = pplib.get_lest_in_range2(
klines, id, id + 20)
self.hh_10, self.hh_10_bar = pplib.get_hest_in_range2(
klines, id, id + 10)
self.ll_10, self.ll_10_bar = pplib.get_lest_in_range2(
klines, id, id + 10)
self.hh_5, self.hh_5_bar = pplib.get_hest_in_range2(klines, id, id + 6)
self.ll_5, self.ll_5_bar = pplib.get_lest_in_range2(klines, id, id + 6)
dif = self.hh_10_bar - id
if (dif == 0):
self.kpi += TopBomScore
if (dif == 1):
self.kpi += int(TopBomScore / 2)
elif (dif == 2):
self.kpi -= TopBomScore
elif (dif == 3):
self.kpi += TopBomScore
elif (dif > 3 and dif <= 5):
self.kpi -= TopBomScore
self.to_top = dif
dif = self.ll_10_bar - id
if (dif == 0):
self.kpi -= TopBomScore
if (dif == 1):
self.kpi -= int(TopBomScore / 2)
elif (dif == 2):
self.kpi += TopBomScore
elif (dif == 3):
self.kpi -= TopBomScore
elif (dif > 3 and dif <= 5):
self.kpi += TopBomScore
self.to_bottom = dif
print("[%s] to top=%d, to bottom=%d " %
(self.TAG, self.hh_10_bar - id, self.ll_10_bar - id))
print("[%s] kpi=%d" % (self.TAG, self.kpi))
#==============================================================#
# 红绿数量
red_gre_score = 0
self.reds = pplib.get_reds_candle(klines, 6)
self.greens = pplib.get_greens_candle(klines, 6)
if (self.greens > 0):
red_gre_score -= self.greens * 20
if (self.reds > 0):
red_gre_score += self.reds * 20
self.kpi += red_gre_score * (RED_GREEN_SCORE / 100)
#跳空
print("[%s] greens=%d reds=%d" % (self.TAG, self.greens, self.reds))
gap_v = klines.iloc[-id].open - klines.iloc[-(id + 1)].close
if (gap_v > 10):
print("[%s] 高跳" % (self.TAG))
self.manager.drive_event(self.TAG, StgEvent.GapUp, gap_v)
self.kpi += 10
gap_v = klines.iloc[-(id + 1)].close - klines.iloc[-id].open
if (gap_v > 10):
print("[%s] 低跳" % (self.TAG))
self.manager.drive_event(self.TAG, StgEvent.GapDown, gap_v)
self.kpi -= 10
print("[%s] kpi=%d" % (self.TAG, self.kpi))
def on_bar(self, klines):
StrategyBase.on_bar(self, klines)
#if (self.run_flag == False or self.hh <= 0 or self.ll <= 0):
if (self.run_flag == False):
return
#lt = time.localtime(time.time())
self.cur_bar = self.get_current_minute_bar()
lt = self.get_real_time()
tmp_position = self.position
if (self.inited == False):
#init
self.init()
if (self.inited == False):
self.debug("not init")
return
if (self.trade_dir != TradeDirection.BUYONLY
and self.trade_dir != TradeDirection.SELLONLY):
return
#===============make==================#
if (self.position == 0 and self.step == 0):
if (self.trade_dir == TradeDirection.BUYONLY):
tmp_position = 1
elif (self.trade_dir == TradeDirection.SELLONLY):
tmp_position = -1
if (self.position == 0 and self.step == 1):
if (self.trade_dir == TradeDirection.BUYONLY):
if (self.entry_price - self.ask_price > 10):
tmp_position = 1
else:
ck_sum10 = pplib.get_checksum(klines, 11, 1)
ma3 = pplib.get_average(klines, 4)
hh_20 = pplib.get_hest_in_range(klines, 1, 31)
if (abs(ck_sum10) < 5 and hh_20 - ma3 > 15):
tmp_position = 1
elif (self.trade_dir == TradeDirection.SELLONLY):
if (self.entry_price - self.ask_price > 10):
tmp_position = -1
else:
ck_sum10 = pplib.get_checksum(klines, 11, 1)
ma3 = pplib.get_average(klines, 4)
ll_20 = pplib.get_lest_in_range(klines, 1, 31)
if (abs(ck_sum10) < 5 and ma3 - hh_20 > 15):
tmp_position = -1
elif (self.position == 0 and self.step == 2):
pass
#==================exit===========================#
if (self.position == 1):
if (self.cur_bar - self.entry_bar > 5
and self.bid_price - self.entry_price >= self.MAX_EARN):
tmp_position = 0
'''
my_avg_price = pplib.get_avg_price(klines, 10)
if (self.entry_bar > 10 and my_avg_price < self.avg_price):
tmp_position = 0
'''
if (self.hh != 0 and self.ask_price >= self.hh):
tmp_position = 0
self.hh += 20
if (self.position == -1):
if (self.cur_bar - self.entry_bar > 5
and self.entry_price - self.bid_price >=
self.MAX_EARN): # 达到最大profit
tmp_position = 0
'''
my_avg_price = pplib.get_avg_price(klines, 10)
if (self.entry_bar > 10 and my_avg_price > self.avg_price):
tmp_position = 0
'''
if (self.ll != 0 and self.ask_price <= self.ll):
tmp_position = 0
self.ll -= 20
if (tmp_position != self.position):
self.set_position(tmp_position)
#===================check==========================#
if (self.cur_bar_id - self.start_bar_id > 10): #// 不符合rush条件
my_avg_price = pplib.get_avg_price(klines, 10)
if (self.trade_dir == TradeDirection.SELLONLY
and my_avg_price > self.mark_price):
self.stop()
if (self.trade_dir == TradeDirection.BUYONLY
and my_avg_price < self.mark_price):
self.stop()
if (self.position != 0):
self.monitor_position(klines)
def on_bar(self, klines):
if (self.run_flag == False or self.key_price == 0):
return
StrategyBase.on_bar(self, klines)
if (abs(self.ask_price - self.key_price) > 30 and self.mark_bar == 0):
return
#lt = self.get_real_time()
if (self.mark_bar != 0 and self.init_price_state == 1): #上云盖
cur_bar = self.get_current_minute_bar()
hh = pplib.get_hest_in_range(self, 1, 30)
#阻击
if (cur_bar - self.mark_bar < 30 and self.position != -1):
#c_sum_10 = pplib.get_checksum(klines, 10, 1)
#avg_10 = pplib.get_avg_price(klines, 10)
if (cur_bar - self.mark_bar < 5 and hh - self.ask_price < 20):
avg_6 = pplib.get_avg_price(klines, 6)
c_sum_8 = pplib.get_checksum(klines, 8, 1)
if (abs(avg_6 - self.key_price) < 10):
self.set_position(-1)
elif (cur_bar - self.mark_bar > 5
and hh - self.ask_price < 20):
avg_6 = pplib.get_avg_price(klines, 6)
c_sum_10 = pplib.get_checksum(klines, 10, 1)
if (self.key_price - avg_6 > -5
and self.key_price - avg_6 < 14
and abs(c_sum_10) < 4):
self.set_position(-1)
#顺势
elif (cur_bar - self.mark_bar > 30 and self.position != 1):
c_sum_10 = pplib.get_checksum(klines, 10, 1)
avg_10 = pplib.get_avg_price(klines, 10)
if (avg_10 > self.key_price and abs(c_sum_10) < 4):
self.set_position(1)
if (self.mark_bar != 0 and self.init_price_state == -1): #上云盖
cur_bar = self.get_current_minute_bar()
ll = pplib.get_lest_in_range(self, 1, 30)
#阻击
if (cur_bar - self.mark_bar < 30 and self.position != 1):
#c_sum_10 = pplib.get_checksum(klines, 10, 1)
#avg_10 = pplib.get_avg_price(klines, 10)
if (cur_bar - self.mark_bar < 5 and ll - self.ask_price < 20):
avg_6 = pplib.get_avg_price(klines, 6)
c_sum_8 = pplib.get_checksum(klines, 8, 1)
if (abs(avg_6 - self.key_price) < 10 and abs(c_sum_8) < 4):
self.set_position(1)
elif (cur_bar - self.mark_bar > 5
and ll - self.ask_price < 20):
avg_6 = pplib.get_avg_price(klines, 6)
c_sum_10 = pplib.get_checksum(klines, 10, 1)
if (avg_6 - self.key_price > -5
and avg_6 - self.key_price < 14
and abs(c_sum_10) < 4):
self.set_position(1)
#顺势
elif (cur_bar - self.mark_bar > 30 and self.position != -1):
c_sum_10 = pplib.get_checksum(klines, 10, 1)
avg_10 = pplib.get_avg_price(klines, 10)
if (avg_10 < self.key_price and abs(c_sum_10) < 4):
self.set_position(1)
if (self.cur_bar > 10):
self.check_key_price(klines)
def preparse_dayline_trend(self, d_klines):
back_count = 6
red_count = 0
checksum = 0
atr = ATR(d_klines, 30)
self.atr_daily = int(atr.atr.iloc[-1])
#print(self.TAG, self.atr_daily) # 平均真实波幅
for i in range(1, back_count):
if (d_klines.iloc[-i].open - d_klines.iloc[-i].close > 0):
red_count = red_count + 1
checksum = checksum + (d_klines.iloc[-i].close -
d_klines.iloc[-i].open)
weight = tafunc.abs(checksum) / atr.atr.iloc[-i]
print("[%s] parse_dayline_trend checksum=%d weight=%f " %
(self.TAG, checksum, weight))
#if (checksum > 0 and checksum > back_count*atr.atr):
self.day_trend = red_count - (back_count - red_count)
if (float(weight) > float(0.001) and checksum > 0):
self.day_trend = self.day_trend + weight
if (float(weight) > float(0.001) and checksum < 0):
self.day_trend = self.day_trend - weight
# 关键
#range_H = tafunc.hhv(klines.high, 5)
#range_L = tafunc.llv(klines.low, 5)
self.Long_HH = pplib.get_hest_in_range(d_klines, 1, 50)
self.Long_LL = pplib.get_lest_in_range(d_klines, 1, 50)
self.range_HH, self.hh_day_bar = get_hh_price_bar(d_klines, 5)
self.range_LL, self.ll_day_bar = get_ll_price_bar(d_klines, 5)
print("[%s] Long_HH=%d Long_LL=%f " %
(self.TAG, self.Long_HH, self.Long_LL))
# 大小口 配合
self.support_line = get_support_line(d_klines, 1, 2, 10)
self.resistance_line = get_resistance_line(d_klines, 1, 2, 10)
# 敏感价格基于前长周期的波峰波谷，后期被打破或形成支撑阻力
self.sensitive_hh_bar, self.sensitive_hh = get_sensitive_hh(
d_klines, 2)
self.sensitive_ll_bar, self.sensitive_ll = get_sensitive_ll(
d_klines, 2)
self.debug("support_line=%d resistance_line=%d" %
(self.support_line, self.resistance_line))
self.debug(
"sensitive_hh_bar=%d sensitive_hh=%d sensitive_ll_bar=%d sensitive_ll=%d"
% (self.sensitive_hh_bar, self.sensitive_hh, self.sensitive_ll_bar,
self.sensitive_ll))
if (self.sensitive_hh != 0):
self.set_indor_value(Indicator.RangeHDaily, self.sensitive_hh)
if (self.sensitive_ll != 0):
self.set_indor_value(Indicator.RangeLDaily, self.sensitive_ll)
# 关键，需手动录入
'''
self.key_hh =
self.key_ll =
'''
'''
日线级别的均线值
'''
self.ma10 = 0
self.ma20 = 0
'''
预估
'''
self.forecast = 0
for i in range(1, 5):
self.lastday_quote.append(d_klines.iloc[-i])
self.debug("last_day: open=%d close=%d high=%d low=%d" %
(self.lastday_quote[1].open, self.lastday_quote[1].close,
self.lastday_quote[1].high, self.lastday_quote[1].low))
return self.day_trend
def update_record_daily(self, dklines):
self.ll_100_daily = pplib.get_lest_in_range(dklines, 1, 100)
self.hh_100_daily = pplib.get_hest_in_range(dklines, 1, 100)
self.debug("ll_100_daily=%d hh_100_daily=%d" %
(self.ll_100_daily, self.hh_100_daily))
def on_bar(self, klines):
StrategyBase.on_bar(self, klines)
lt = self.get_real_time()
self.cur_bar_time = klines.iloc[-1].datetime
self.cur_bar = self.get_current_minute_bar()
#==================================#
if (self.init_flag == False):
self.init_data(klines)
#================test==============#
'''
self.debug("cur_bar=%d"%(self.cur_bar))
if (klines.iloc[-1].id - klines.iloc[-33].id > 30):
self.debug(">30")
else:
self.debug("<30")
'''
self.avg_overs = self.avg_recorder.bars_of_over(klines)
self.avg_unders = self.avg_recorder.bars_of_under(klines)
tmp_last_crossdown_bar = self.last_crossdown_bar
self.last_crossdown_bar = self.avg_recorder.get_last_cross_under(
klines, 2)
if (tmp_last_crossdown_bar != self.last_crossdown_bar):
kp = KPCrossUnderAvgLine()
kp.bar = self.cur_bar
kp.score = self.last_crossover_bar
tmp_last_crossover_bar = self.last_crossover_bar
self.last_crossover_bar = self.avg_recorder.get_last_cross_over(
klines, 2)
if (tmp_last_crossover_bar != self.last_crossover_bar):
kp = KPCrossOverAvgLine()
kp.bar = self.cur_bar
kp.score = self.last_crossdown_bar
self.s_checksum = get_checksum(klines, self.short_term, 1)
self.l_checksum = get_checksum(klines, self.long_term, 1)
self.hh_long = get_hest_in_range(klines, 0, 60) #长期的高
self.hh_shor = get_hest_in_range(klines, 0, 30) #短期的高
self.ma5 = pplib.get_avg_price(klines, 5)
#更新 最高最低
if (klines.iloc[-1].close > self.hest_inday):
self.hest_inday = klines.iloc[-1].close
self.hest_bar_inday = self.get_current_minute_bar()
if (klines.iloc[-1].close < self.lest_inday):
self.lest_inday = klines.iloc[-1].close
self.lest_bar_inday = self.get_current_minute_bar()
if (self.open_price == 0 and self.cur_bar > 1):
self.open_price = pplib.get_open_today(klines, 1)
if (self.UpdateTradeInterval >= 1
and lt.tm_min % self.UpdateTradeInterval == 0):
self.update_trand_indictor()
elif (self.UpdateTradeInterval == 0):
self.update_trand_indictor()
self.count_of_nearest_less = pplib.get_count_of_nearest_less(
klines, 5, 50)
self.count_of_nearest_greater = pplib.get_count_of_nearest_greater(
klines, 5, 50)
self.downs_of_this = pplib.get_count_of_less(klines, self.cur_bar)
self.overs_of_this = pplib.get_count_of_greater(klines, self.cur_bar)
if (self.hest_bar_inday < 60): #近期新高
if (self.Long_HH < self.hest_inday):
self.trade_worning = 0
if (lt.tm_min % 4 == 0 and lt.tm_sec == 0):
self.my_print("kpi=%d" % (self.score))
#==============================================#
self.generate_indicator_event(klines)
#==============================================#
if (lt.tm_min % 5 == 0 and self.cur_bar > 0):
self.on_bar_5(klines)
if (self.cur_bar_id % 10 == 0 and self.cur_bar > 0):
self.on_bar_10(klines)
if (lt.tm_min % 30 == 0 and lt.tm_min == 1 and self.cur_bar > 60):
self.on_bar_30(klines)
def find_strong(self, klines):
#===============================================#
if (self.downs_of_this > 100):
self.last_fit_less_bar = self.get_current_minute_bar()
if (self.overs_of_this > 100):
self.last_fit_greater_bar = self.get_current_minute_bar()
#range break
#last 5 break last 120
#
hh_5 = pplib.get_hest_in_range(klines, 1, 6)
ll_5 = pplib.get_lest_in_range(klines, 1, 6)
range_width = 120
if (self.cur_bar < 120):
range_width = self.cur_bar
if (range_width <= 6):
return
hh_120 = pplib.get_hest_in_range(klines, 6, range_width)
ll_120 = pplib.get_lest_in_range(klines, 6, range_width)
bk_last_break_down_bar = self.last_break_down_bar
bk_last_break_up_bar = self.last_break_up_bar
if (hh_120 - ll_120 < 30):
if (ll_120 - ll_5 > 10):
self.last_break_down_bar = self.get_current_minute_bar()
self.last_after_break_ll = ll_5
elif (hh_5 - hh_120 > 10):
self.last_break_up_bar = self.get_current_minute_bar()
self.last_after_break_hh = hh_5
self.last_inrange_end_bar = self.get_current_minute_bar() - 5
#突破、拉回、反向创新高
#突破,判断回调、再突破
if (self.last_break_down_bar < 150
and self.cur_bar - self.last_break_down_bar < 20 + 6
and self.ma5 > self.last_inrange_ll): # 折回
pass
elif (self.last_break_down_bar > 10
and self.ma5 < self.last_after_break_ll): # 连续突破
self.strong_result = -1
self.strong_direction = -1
# 多
if (self.last_break_up_bar < 150
and self.cur_bar - self.last_break_up_bar < 20 + 6
and self.ma5 > self.last_inrange_hh): # 折回
self.strong_result = 1
self.strong_direction = 1
elif (self.last_break_down_bar > 10
and self.ma5 < self.last_after_break_ll): # 连续突破
self.strong_result = 1
self.strong_direction = 1
#突破、反向创新高
if (self.cur_price > hh_120
and (self.cur_bar - self.last_break_up_bar < 30 + 6)
and (self.cur_bar - self.last_break_down_bar < 120
and self.last_break_down_bar > 20)):
self.strong_result = 2
self.strong_direction = 2
if (self.cur_price < ll_120
and self.cur_bar - self.last_break_down_bar < 30 + 6
and (self.last_break_up_bar > 20
and self.cur_bar - self.last_break_up_bar < 120)):
self.strong_result = -2
self.strong_direction = -2
height_12 = pplib.get_height_in_range(klines, 1, 13)
csum = pplib.get_checksum(klines, 13, 1)
if (csum > 25 or (csum > 0 and height_12 > 18)):
self.debug("strong up chsum=%d height_12=%d" % (csum, height_12))
self.info("strong up chsum=%d height_12=%d" % (csum, height_12))
self.csum_12 = csum
self.height_12 = height_12
self.last_bigbang_up = self.cur_bar
if (csum < -25 or (csum < 0 and height_12 > 18)):
self.debug("strong down chsum=%d height_12=%d" % (csum, height_12))
self.info("strong down chsum=%d height_12=%d" % (csum, height_12))
self.csum_12 = csum
self.height_12 = height_12
self.last_bigbang_down = self.cur_bar
def on_day_bar(self, dklines):
start_id = 2
#find_range
#自然波动区间
#强势后整理波动区间
#find_strong_price
self.support_ll = 0
self.resistance_hh = 0
self.range_hh = 0
self.range_ll = 0
self.boll_top = 0
self.boll_bottom = 0
self.trade_ll = 0
self.trade_hh = 0
atr = ATR(dklines, 30)
self.atr_daily = int(atr.atr.iloc[-1])
#如果区间线和强势线重合，确定方向
inrange_result = self.find_inrange_daily(start_id, dklines)
#支撑、阻力
strong_result = self.find_strong_daliy(start_id, dklines)
# boll
self.find_boll_daily(start_id, dklines)
if (inrange_result == True or strong_result == True):
if (self.support_ll!=0 and self.range_ll!=0):
self.trade_ll = int((self.range_ll + self.support_ll)/2)
elif(self.support_ll != 0):
self.trade_ll = self.support_ll
elif(self.range_ll != 0):
self.trade_ll = self.range_ll
if (self.resistance_hh!=0 and self.range_hh!=0):
self.trade_hh = int((self.range_hh + self.resistance_hh)/2)
elif(self.resistance_hh != 0):
self.trade_hh = self.resistance_hh
elif(self.range_hh != 0):
self.trade_hh = self.range_hh
self.trend_type_daily = TrendType.WAVE
if (self.support_ll!=0 and self.resistance_hh!=0):
self.set_trade_direction(TradeDirection.BUYSELL)
elif (self.support_ll != 0):
self.set_trade_direction(TradeDirection.BUYONLY)
elif(self.resistance_hh != 0):
self.set_trade_direction(TradeDirection.SELLONLY)
if (self.trade_hh == 0):
self.trade_hh = self.boll_top
if (self.trade_ll == 0):
self.trade_ll = self.boll_bottom
else:
self.trend_type_daily = TrendType.TREND
self.trade_ll = self.boll_bottom
self.trade_hh = self.boll_top
self.debug("on_day_bar trade_hh=%d trade_ll=%d"%(self.trade_hh, self.trade_ll))
self.hh_3day = pplib.get_hest_in_range(dklines, start_id, start_id+3)
self.ll_3day = pplib.get_lest_in_range(dklines, start_id, start_id+3)
self.debug("on_day_bar hh_3day=%d ll_3day=%d"%(self.hh_3day, self.ll_3day))
self.hh_50day = pplib.get_hest_in_range(dklines, start_id, start_id+50)
self.ll_50day = pplib.get_lest_in_range(dklines, start_id, start_id+50)
def generate_hh_ll(self, klines):
#开仓
#排列
swing_hh = self.hh
swing_ll = self.ll
hh_msg = "change swing_hh "
ll_msg = "change swing_ll"
if (self.m_size > 0 and self.w_size > 0):
m_ret = self.check_open_queue("m_opens", self.m_opens)
w_ret = self.check_open_queue("w_opens", self.w_opens)
#swing_hh = self.m_opens.loc[0].high + 40
#swing_ll = self.w_opens.loc[0].low - 40
if (m_ret == 1 and w_ret == 1):
#几浪
if (self.m_size > 3):
swing_hh = self.m_opens.loc[0].high + 2
swing_ll = swing_hh - 30
elif (self.m_size > 2):
swing_hh = self.m_opens.loc[0].high + 10
swing_ll = pplib.get_lest_in_range(klines, 1, 51)
elif (self.m_size > 1):
swing_hh = self.m_opens.loc[0].high + 20
swing_ll = pplib.get_lest_in_range(klines, 1, 31)
else:
swing_hh = self.m_opens.loc[0].high + 38
swing_ll = pplib.get_lest_in_range(klines, 1, 21)
hh_msg = "排列多"
ll_msg = "排列多"
elif (m_ret == -1 and w_ret == -1):
#几浪
if (self.w_size > 3):
swing_ll = self.m_opens.loc[0].low - 2
swing_hh = swing_ll + 30
elif (self.w_size > 2):
swing_ll = self.m_opens.loc[0].low - 10
swing_hh = pplib.get_hest_in_range(klines, 1, 51)
elif (self.w_size > 1):
swing_ll = self.m_opens.loc[0].low - 20
swing_hh = pplib.get_hest_in_range(klines, 1, 31)
else:
swing_ll = self.m_opens.loc[0].low - 38
swing_hh = pplib.get_hest_in_range(klines, 1, 21)
hh_msg = "排列空"
ll_msg = "排列空"
else:
#未突破
hh_msg = "找swing_high"
ll_msg = "找swing_low"
range_heigh_8 = pplib.get_height_in_range(klines, 1, 8)
l_cksum = pplib.get_checksum(klines, 10, 1)
avg_price = pplib.get_average(klines, 6)
if (self.w_opens.loc[0].lcount > 60):
#突破
'''
swing_hh = self.w_opens.loc[0].close + 20
if(self.w_size > 2):
swing_ll = self.w_opens.loc[0].low-15
if (self.w_size >= 1):
swing_ll = self.w_opens.loc[0].low-25
'''
if (abs(avg_price - self.w_opens.loc[0].low) < 3
and range_heigh_8 < 15 and l_cksum < 0
and l_cksum > -15):
swing_ll = avg_price
ll_msg = "在上一个swing_low附近形成震荡"
#突破
else:
#偏空
if (self.w_size > 2):
swing_ll = self.w_opens.loc[0].low - 8
ll_msg = "w_size>2 and ll=swing_low - 8"
if (self.w_size >= 1):
swing_ll = self.w_opens.loc[0].low - 15
ll_msg = "w_size>2 and ll=swing_low - 15"
if (self.get_kpi_daily() > 10):
swing_ll += int(self.get_kpi_daily() / 10) + 1
ll_msg += "调整%d" % (
int(self.get_kpi_daily() / 10) + 1)
elif (self.w_opens.loc[0].lcount < 30
and self.w_opens.loc[0].lcount > 60):
if (avg_price < self.w_opens.loc[0].close - 8):
swing_hh = self.w_opens.loc[0].close
swing_ll = self.w_opens.loc[0].close - 28
ll_msg = "swing_low 大小桥 ll下移21"
hh_msg = "swing_low 大小桥 low变high 阻变支"
else:
swing_ll = self.w_opens.loc[0].close
ll_msg = "swing_low 大小桥 使用swing_low"
#突破跟进
#突破
if (self.m_opens.loc[0].lcount > 60):
#突破
'''
swing_hh = self.w_opens.loc[0].close + 20
if(self.w_size > 2):
swing_ll = self.w_opens.loc[0].low-15
if (self.w_size >= 1):
swing_ll = self.w_opens.loc[0].low-25
'''
if (abs(avg_price - self.m_opens.loc[0].high) < 3
and range_heigh_8 < 15 and l_cksum > 0
and l_cksum < 15):
swing_hh = avg_price
hh_msg = "swing_high 使用swing_high附件avg_price"
#突破
else:
#偏空
if (self.m_size > 2):
swing_hh = self.m_opens.loc[0].high + 8
hh_msg = "m_size > 2 swing_high0+8"
if (self.m_size >= 1):
swing_hh = self.m_opens.loc[0].high + 15
hh_msg = "m_size >= 1 swing_high0+15"
if (self.get_kpi_daily() < -10):
swing_hh += int(self.get_kpi_daily() / 10) + 1
hh_msg += "调整%d" % (int(self.get_kpi_daily() / 10) + 1)
elif (self.m_opens.loc[0].lcount < 30
and self.m_opens.loc[0].lcount > 60):
if (avg_price > self.m_opens.loc[0].close + 5):
swing_ll = self.m_opens.loc[0].close - 5
swing_hh = self.m_opens.loc[0].close + 25
hh_msg = "swing_high 上移21"
ll_msg = "swing_high0-5 变ll"
else:
swing_hh = self.m_opens.loc[0].high
hh_msg = "大小乔 使用swing_high"
#
elif (self.m_size > 0):
#强升
m_ret = self.check_open_queue("m_opens", self.m_opens)
if (m_ret == 1 and self.cur_bar < 110
and self.get_kpi_daily() > 30):
ll_10 = pplib.get_lest_in_range(klines, 1, 11)
swing_ll = ll_10
ll_msg = "强升，ll=ll_10"
elif (self.w_size > 0):
#强降
m_ret = self.check_open_queue("w_opens", self.m_opens)
if (m_ret == -1 and self.cur_bar < 110
and self.get_kpi_daily() < -30):
hh_10 = pplib.get_hest_in_range(klines, 1, 11)
swing_hh = hh_10
hh_msg = "强降，hh=hh_10"
elif (self.cur_bar > 50):
avg_price = pplib.get_average(klines, 5)
open_p = self.get_open_price()
if (avg_price > open_p):
swing_ll = pplib.get_lest_in_range(klines, 1, 11)
ll_msg = "流畅上升，ll=ll_10"
elif (open_p > avg_price):
swing_hh = pplib.get_hest_in_range(klines, 1, 11)
hh_msg = "流畅下降，hh=hh_10"
elif (self.cur_bar < 50):
ups = pplib.get_count_of_greater(klines, self.cur_bar)
downs = pplib.get_count_of_less(klines, self.cur_bar)
if (ups > self.ups_at_open):
self.ups_at_open = ups
if (downs > self.downs_at_open):
self.downs_at_open = downs
if (self.cur_bar > 25 and self.downs_at_open < 10):
avg_price = pplib.get_average(klines, 9)
ll_msg = "未形成swing前强升，ll=lavg9"
swing_ll = avg_price
if (self.cur_bar > 25 and self.downs_at_open < 10):
avg_price = pplib.get_average(klines, 9)
hh_msg = "未形成swing前强降，hh=avg9"
swing_hh = avg_price
if (self.hh == 0):
swing_hh = self.get_open_price + self.get_atr_daily()
hh_msg = "hh=0, hh=open+atr"
elif (self.hh < self.ask_price - 10):
#突破
avg_price = pplib.get_average(klines, 15)
if (avg_price > self.hh + 5):
swing_ll = self.hh
swing_hh = self.ask_price + 25
hh_msg = "逃出区间, hh=cur_price+25"
ll_msg = "逃出区间, ll = last_hh"
if (self.ll == 0):
swing_ll = self.get_open_price - self.get_atr_daily()
ll_msg = "ll = 0, ll=open-atr"
elif (self.ll > self.ask_price + 10):
avg_price = pplib.get_average(klines, 15)
if (avg_price < self.ll - 5):
swing_hh = self.ll
swing_ll = self.ask_price - 23
hh_msg = "逃出区间, hh=swing+25"
ll_msg = "逃出区间, ll = cur_price-23"
if (swing_hh != self.hh):
self.change_hh(swing_hh, hh_msg)
if (swing_ll != self.ll):
self.change_ll(swing_ll, ll_msg)
def on_bar(self, klines):
#self.debug("====1111======")
#print(self.TAG, self.run_flag)
if (self.run_flag == False):
return
StrategyBase.on_bar(self, klines)
lt = self.get_real_time()
if (lt.tm_hour == 21 and lt.tm_min < 5):
return
# update
last_crossdown_bar = self.avg_recorder.get_last_cross_under(klines, 2)
last_crossover_bar = self.avg_recorder.get_last_cross_over(klines, 2)
overs = self.avg_recorder.bars_of_over(klines)
downs = self.avg_recorder.bars_of_under(klines)
s_checksum = get_checksum(klines, self.short_term, 1)
l_checksum = get_checksum(klines, self.long_term, 1)
cur_bar = self.get_current_minute_bar()
# 弱势 提前
hh_inday, hh_bar_inday = pplib.get_highest_bar_today2(
klines) #不用替换_fix
ll_inday, ll_bar_inday = pplib.get_lowest_bar_today2(klines)
tmp_position = self.position
if (last_crossover_bar > 20):
self.cross_avg_run_flag = 1
elif (last_crossdown_bar > 20):
self.cross_avg_run_flag = -1
else:
self.cross_avg_run_flag = 0
if (lt.tm_min % 10 == 0):
msg = "[last_crossdown_bar=%d, last_crossover_bar=%d, overs=%d, downs=%d, s_checksum=%d, l_checksum=%d" % (
last_crossdown_bar, last_crossover_bar, overs, downs,
s_checksum, l_checksum)
self.info(msg)
self.debug(msg)
#过滤
#中途运行的情况
if (overs + downs < 20):
return
#开
if (self.position == 0 and lt.tm_hour <= 13):
ma10 = pplib.get_avg_price(klines, 10)
#用于区间突破 全程在线的一边
if (last_crossover_bar < last_crossdown_bar
and last_crossover_bar > 50 and ma10 > self.d_hh_3
and self.position <= 0):
self.debug("overs avg and over hh_3")
tmp_position = 1
elif (last_crossover_bar > last_crossdown_bar
and last_crossdown_bar > 50 and ma10 < self.d_ll_3
and self.position >= 0):
self.debug("downs avg and down ll_3")
tmp_position = -1
degree = self.manager.get_market_prediction()
#degree =
#数量
dif = self.avg_price - self.ask_price
if (abs(dif) <= 12 and downs / cur_bar < 0.1
and abs(s_checksum) < 5 and degree > 20):
if (last_crossover_bar < 15 and degree < 35):
tmp_position = 1
print("[%s] 多开 条件1 " % (self.TAG))
if (last_crossdown_bar < 20 and degree > 35): #均线以下
tmp_position = 1
print("[%s] 多开 条件2 " % (self.TAG))
elif (abs(dif) <= 12 and overs / cur_bar < 0.1
and abs(s_checksum) < 5 and degree < -20):
if (last_crossdown_bar < 15 and degree > -35):
tmp_position = -1
print("[%s] 空开 条件1 " % (self.TAG))
if (last_crossover_bar < 20 and degree < -35): #均线以下
tmp_position = -1
print("[%s] 空开 条件2 " % (self.TAG))
#峰度
if (overs < downs / 5 and degree < -50):
if (l_checksum < -20 and last_crossdown_bar < 5):
tmp_position = -1
print("[%s] 空开 条件3 " % (self.TAG))
elif (downs < overs / 5 and degree > 35):
if (l_checksum > 20 and last_crossover_bar < 5):
tmp_position = 1
print("[%s] 多开 条件3 " % (self.TAG))
#趋向
if (overs < downs / 2 and degree < -35 and self.position >= 0):
if (self.cross_avg_run_flag == -1 and abs(l_checksum) < 5):
#if (self.cross_avg_run_flag == -1)<5):
tmp_position = -1
self.debug("趋向 修正")
#ups = pplib.get_count_of_greater(klines, 50)
#if (ups > 30):
elif (downs < overs / 2 and degree > 35 and self.position <= 0):
if (self.cross_avg_run_flag == 1 and abs(l_checksum) < 5):
tmp_position = 1
self.debug("趋向 修正")
#修正
#或者根据degree来修正
#if (cur_bar - hh_bar_inday > 60 and ll_bar_inday < hh_bar_inday and tmp_position >0):
if (hh_bar_inday > 60 and tmp_position > 0):
tmp_position = 0
print("[%s] degree来修正 " % (self.TAG))
#if (cur_bar - ll_bar_inday > 60 and ll_bar_inday > hh_bar_inday and tmp_position<0):
if (ll_bar_inday > 60 and tmp_position < 0):
tmp_position = 0
print("[%s] degree来修正 " % (self.TAG))
#===========================================#
#*******************************************#
# 对应20200601
kpi_daily = self.get_kpi_daily()
if (kpi_daily > 35 and self.position <= 0 and overs > downs):
if (last_crossdown_bar > 3 and last_crossdown_bar < 30):
ups = pplib.get_count_of_greater(klines, 30)
if (ups >= 5):
tmp_position = 1
self.debug("kpi_daily > 35 and crossdown")
if (kpi_daily < -35 and self.position >= 0 and overs < downs):
if (last_crossover_bar > 3 and last_crossover_bar < 30):
donws = pplib.get_count_of_less(klines, 30)
if (downs >= 5):
tmp_position = -1
self.debug("kpi_daily < -35 and crossover")
#===========================================#
#*******************************************#
#平
#时间过长
if (self.cur_bar - self.entry_bar >= self.MAX_HOLD
and self.position != 0):
m_checksum = get_checksum(klines, 10, 1) # short
if (self.position > 0 and abs(m_checksum) < 2):
ups = pplib.get_count_of_greater(klines, 60)
if (ups > 30):
tmp_position = 0
print("[%s] 多平 时间过长 " % (self.TAG))
if (self.position < 0 and abs(m_checksum) < 2):
downs = pplib.get_count_of_less(klines, 60)
if (downs > 30):
tmp_position = 0
print("[%s] 空平 时间过长 " % (self.TAG))
if (self.position > 0 and last_crossdown_bar < last_crossover_bar
and self.cur_bar - self.entry_bar > 30):
ups = pplib.get_count_of_greater(klines, 50)
if (ups > 29):
tmp_position = 0
# 前高点
if (self.cur_bar - self.entry_bar > 20 and self.position > 0):
long_hh = pplib.get_hest_in_range(klines, 0, 60) #长期的高
short_hh = pplib.get_hest_in_range(klines, 0, 30) #短期的高
m_checksum = get_checksum(klines, 20, 1) # short
if (long_hh == short_hh and abs(m_checksum) <= 3):
tmp_position = 0
print("[%s] 多平 前高点 " % (self.TAG))
if (self.position > 0 and self.ask_price - self.entry_price > 48):
tmp_position = 0
self.debug("最大盈...")
if (self.position < 0 and last_crossdown_bar > last_crossover_bar
and self.cur_bar - self.entry_bar > 30):
downs = pplib.get_count_of_less(klines, 50)
if (downs > 29):
tmp_position = 0
# 前低点
if (self.cur_bar - self.entry_bar > 20 and self.position < 0):
long_ll = pplib.get_lest_in_range(klines, 0, 60) #长期的高
short_ll = pplib.get_lest_in_range(klines, 0, 30) #短期的高
m_checksum = get_checksum(klines, 20, 1) # short
if (long_ll == short_ll and abs(m_checksum) <= 3):
tmp_position = 0
print("[%s] 空平 前低点 " % (self.TAG))
if (self.position < 0 and self.entry_price - self.ask_price > 39):
tmp_position = 0
self.debug("最大盈...")
if (tmp_position != self.position):
if (tmp_position > 0):
if (self.check_open_order(1, 10)):
self.set_position(tmp_position)
elif (tmp_position < 0):
if (self.check_open_order(-1, 10)):
self.set_position(tmp_position)
else:
self.set_position(tmp_position)