def _judge_enter_proc(self, datei):
datei -= 1
(open, high, low, close, volume) = self._get_prices(datei, 1)
price = (high+low+close)/3
msg = ""
boxsize = kf.get_lboxsize(price)
ret = (NO_ENTER, msg)
if high-low > boxsize:
return ret
if len(self.enter_prices) > 0:
if price + boxsize >= self.enter_prices[-1] and price - boxsize <= self.enter_prices[-1]:
return ret
direction = 0
#ichimoku
tmp_direction = self._judge_ichimoku_points(datei)
if tmp_direction != 0:
msg = f.joinstr("Ichimoku", msg)
direction += tmp_direction
#bollinger
tmp_direction = self._judge_bollinger_points(datei)
if tmp_direction != 0:
msg = f.joinstr("Bollinger", msg)
direction += tmp_direction
#base lines
tmp_direction = self._judge_base_points(datei)
if tmp_direction != 0:
msg = f.joinstr("Base lines", msg)
direction += tmp_direction
#dow lines
tmp_direction = self._judge_dow_points(datei)
if tmp_direction != 0:
msg = f.joinstr("Dow", msg)
direction += tmp_direction
#trend lines
tmp_direction = self._judge_trend_points(datei)
if tmp_direction != 0:
msg = f.joinstr("Trend lines", msg)
direction += tmp_direction
if abs(direction) > self.min_action_score:
if direction > 0:
return (YES_ENTER_BUY, msg)
elif direction < 0:
return (YES_ENTER_SELL, msg)
return ret
def _judge_passed(self, datei):
(open, high, low, close, volume) = self._get_prices(datei, 1)
price = (high+low+close)/3
boxsize = kf.get_lboxsize(price)
if high-low > boxsize:
return 0
(normal_lines, base_lines, dow_lines, trend_lines) = self.lines
(tenkan, kijun, chikou, senko1, senko2, avg, bollp2, bollm2) = self._normal_lines2tuple(datei)
direction = 0
points = [tenkan, kijun, chikou, senko1, senko2, avg, bollp2, bollm2]
last_pm = self._get_last_pm(datei)
for i in range(len(points)):
(touched, dir) = self._touched(datei, points[i], last_pm)
if touched:
return 1
if base_lines.has_key(datei):
base = base_lines[datei]
for i in range(len(base)):
(passed, dir) = self._passed_to(datei, base[i], last_pm)
if passed:
return 1
if dow_lines.has_key(datei):
dow = dow_lines[datei]
for i in range(len(dow)):
(passed, dir) = self._passed_to(datei, dow[i], last_pm)
if passed:
return 1
if trend_lines.has_key(datei):
trend = trend_lines[datei]
for i in range(len(trend)):
(passed, dir) = self._passed_to(datei, trend[i], last_pm)
if passed:
return 1
return 0
