def score_analyze(basic, kdata, pick_index, take_index, policy_args):
""" 根据股票股价、市值、成交量等方面给股票打分:
* 股价估分，总计25分；
* 市值估分，总计25分；
* 涨停估分，总分25分，一个涨停板5分；
"""
max_pclose = __parse_policy_args(policy_args, MAX_PCLOSE)
outstanding = __parse_policy_args(policy_args, OUTSTANDING)
score = dogen.score_by_pclose(40, kdata.iloc[take_index][dogen.P_CLOSE],
max_pclose)
score += dogen.score_by_outstanding(
40, kdata.iloc[take_index][dogen.P_CLOSE] * basic[dogen.OUTSTANDING],
outstanding)
temp_score = 20
temp_slice = 20
tdata = kdata[0:pick_index + 1]
count = tdata[tdata[dogen.P_CLOSE] >= tdata[dogen.L_HIGH]].index.size
if (count > temp_score / temp_slice):
count = temp_score / temp_slice
if (count > 0):
score += temp_slice * count
return (int)(score)
def score_analyze(basic, kdata, pick_index, take_index, policy_args):
""" 根据股票股价、市值、成交量等方面给股票打分:
* 股价估分，总计25分；
* 市值估分，总计25分；
* 涨停估分，总分25分，一个涨停板5分；
"""
max_pclose = __parse_policy_args(policy_args, MAX_PCLOSE)
outstanding = __parse_policy_args(policy_args, OUTSTANDING)
score = dogen.score_by_pclose(25, kdata.iloc[take_index][dogen.P_CLOSE], max_pclose)
score += dogen.score_by_outstanding(25, kdata.iloc[take_index][dogen.P_CLOSE]*basic[dogen.OUTSTANDING], outstanding)
return (int)(score)
def score_analyze(basic, kdata, pick_index, take_index, policy_args):
""" 根据股票股价、市值、成交量等方面给股票打分:
* 股价估分，总计25分；
* 市值估分，总计25分；
* 下跌估分，总计50分(默认最多四个下跌交易日)；
"""
max_pclose = __parse_policy_args(policy_args, MAX_PCLOSE)
outstanding = __parse_policy_args(policy_args, OUTSTANDING)
hl_valid = __parse_policy_args(policy_args, HL_VALID)
score = dogen.score_by_pclose(25, kdata.iloc[take_index][dogen.P_CLOSE], max_pclose)
score += dogen.score_by_outstanding(25, kdata.iloc[take_index][dogen.P_CLOSE]*basic[dogen.OUTSTANDING], outstanding)
temp_score = 50.0
temp_slice = temp_score / hl_valid
if (pick_index <= hl_valid):
score += (pick_index * temp_slice)
return (int)(score)
def score_analyze(basic, kdata, high_index, pick_index, take_index, fall_range,
policy_args):
""" 根据股票股价、市值、成交量等方面给股票打分:
* 股价估分，总计40分；
* 市值估分，总计40分；
* 涨停估分，总分20分，两个月内一个涨停板10分；
"""
max_pclose = __parse_policy_args(policy_args, MAX_PCLOSE)
outstanding = __parse_policy_args(policy_args, OUTSTANDING)
pick_start = __parse_policy_args(policy_args, PICK_START)
[high_index, pick_index, dec_close, get_llow, tmpId] = fall_range
score = dogen.score_by_pclose(30, kdata.iloc[take_index][dogen.P_CLOSE],
max_pclose)
score += dogen.score_by_outstanding(
30, kdata.iloc[take_index][dogen.P_CLOSE] * basic[dogen.OUTSTANDING],
outstanding)
temp_score = 20
temp_slice = 20
tdata = kdata[0:high_index + 1]
count = tdata[tdata[dogen.P_CLOSE] >= tdata[dogen.L_HIGH]].index.size
if (count > temp_score / temp_slice):
count = temp_score / temp_slice
if (count > 0):
score += temp_slice * count
temp_score = 20
temp_slice = 10
temp_index = pick_index
for i in range(0, (int)(temp_score / temp_slice)):
rise_range = dogen.get_last_rise_range(kdata, 10, sIdx=temp_index)
if rise_range is None:
break
else:
[min_index, max_index, inc_close, get_hl, tmpId] = rise_range
score += temp_slice
return (int)(score)