本文整理汇总了Python中BasicData.getTechDataInPeriod方法的典型用法代码示例。如果您正苦于以下问题：Python BasicData.getTechDataInPeriod方法的具体用法？Python BasicData.getTechDataInPeriod怎么用？Python BasicData.getTechDataInPeriod使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类BasicData的用法示例。
在下文中一共展示了BasicData.getTechDataInPeriod方法的8个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: analyze
# 需要导入模块: import BasicData [as 别名]
# 或者: from BasicData import getTechDataInPeriod [as 别名]
def analyze(stock_code, date, period):
score = 0
signal = ""
WR = getWR(stock_code, date)
if WR >= 80:
score += 1
signal += "[1]当％R线达到80时，市场处于超卖状况，股价走势随时可能见底。因此，80的横线一般称为买进线，投资者在此可以伺机买入;"
if WR <= 20:
score -= 1
signal += "[-1]当％R线达到20时，市场处于超买状况，走势可能即将见顶，20的横线被称为卖出线;"
WRs = bd.getTechDataInPeriod("WR", stock_code, date, period)
WR_K = mu.getPoly(WRs, 1)[0]
if WR > 50 and WR_K > 0:
score += 1
signal += "[1]当%R向下跌破50中轴线时，市场由弱转强，是买进信号;"
if WR < 50 and WR_K < 0:
score -= 1
signal += "[-1]当%R从超买区向上爬升，突破50中轴线后，可以确认强势转弱，是卖出信号;"
print score
print signal.decode("utf-8").encode("gbk")
bd.updateAnalysisData("WR", str(score) + ";" + signal, stock_code, date)
return [score, signal]示例2: analyze
# 需要导入模块: import BasicData [as 别名]
# 或者: from BasicData import getTechDataInPeriod [as 别名]
def analyze(stock_code, date, period):
score = 0.0
signal = ""
RSI = getRSI(stock_code, date)
if 90 > RSI > 80:
score -= 1
signal += "[-1]当六日指标上升到达80时，表示股市已有超买现象;"
if RSI > 90:
score -= -1
signal += "[-1]超过90以上时，则表示已到严重超买的警戒区，股价已形成头部，极可能在短期内反转回转;"
if 10 < RSI < 20:
score += 1
signal += "[1]六日强弱指标下降至20时，表示股市有超卖现象;"
if RSI < 10:
score += 1
signal += "[1]一旦继续下降至10以下时则表示已到严重超卖区域，股价极可能有止跌回升的机会;"
close_in_period = bd.getBasicDataInPeriod("CLOSE_TODAY", stock_code, date, period)
RSI_in_period = bd.getTechDataInPeriod("CCI", stock_code, date, period)
close_k = mu.getPoly(close_in_period, 1)[0]
RSI_k = mu.getPoly(RSI_in_period, 1)[0]
if close_k > 0 and RSI_k < 0:
signal += "强弱指标下降而股价反趋上涨，产生的背离现象;"
if close_k < 0 and RSI_k > 0:
signal += "强弱指标上升而股价反而下跌, 产生的背离现象;"
print score
print signal.decode("utf-8").encode("gbk")
bd.updateAnalysisData("RSI", str(score) + ";" + signal, stock_code, date)
return [score, signal]示例3: calcROCMA
# 需要导入模块: import BasicData [as 别名]
# 或者: from BasicData import getTechDataInPeriod [as 别名]
def calcROCMA(stock_code, date, period):
ROCs = bd.getTechDataInPeriod("ROC", stock_code, date, period)
ROCMA = 0.0
for ROC in ROCs:
ROCMA += ROC[0]
ROCMA = ROCMA / period
return round(ROCMA, 3)示例4: analyze
# 需要导入模块: import BasicData [as 别名]
# 或者: from BasicData import getTechDataInPeriod [as 别名]
def analyze(stock_code, date, period):
score = 0
signal = ""
OBVs = bd.getTechDataInPeriod("OBV", stock_code, date, period)
close_in_period = bd.getBasicDataInPeriod("CLOSE_TODAY", stock_code, date, period)
OBV_K = mu.getPoly(OBVs, 1)[0]
CLOSE_K = mu.getPoly(close_in_period, 1)[0]
# 1.OBV线下降，而此时股价上升，是卖出股票的信号。
if OBV_K < 0 and CLOSE_K > 0:
score -= 1
signal += "[-1]OBV线下降，而此时股价上升，是卖出股票的信号;"
# 2.OBV线上升，而此时股价下跌，是买进股票的信号。
if OBV_K > 0 and CLOSE_K < 0:
score += 1
signal += "[1]OBV线上升，而此时股价下跌，是买进股票的信号;"
# 3.OBV线从正的累积数转为负数时，为下跌趋势，应该卖出持有股票；反之，OBV线从负的累积数转为正数，应该买进股票。
OBV_today = OBVs[0]
OBV_pday = OBVs[1]
if OBV_today > 0 and OBV_pday < 0:
score += 1
signal += "[1]OBV线从负的累积数转为正数，应该买进股票;"
if OBV_today < 0 and OBV_pday > 0:
score -= 1
signal += "[-1]OBV线从正的累积数转为负数时，为下跌趋势，应该卖出持有股票;"
# 4.OBV线呈缓慢上升时，为买进信号，但是若OBV线急速上升，隐含着能量不可能长久维持大成交量，非但不是买进信号，尚是卖出时机。
if OBV_K > 0:
if OBV_K > UP_RATIO_THREHOLD:
score -= 1
signal += "[-1]若OBV线急速上升，隐含着能量不可能长久维持大成交量，非但不是买进信号，尚是卖出时机;"
else:
score += 1
signal += "[1]OBV线呈缓慢上升时，为买进信号;"
print score
print signal.decode("utf-8").encode("gbk")
bd.updateAnalysisData("OBV", str(score) + ";" + signal, stock_code, date)
return [score, signal]示例5: getCCIs
# 需要导入模块: import BasicData [as 别名]
# 或者: from BasicData import getTechDataInPeriod [as 别名]
def getCCIs(stock_code, date, period):
return bd.getTechDataInPeriod("CCI", stock_code, date, period)示例6: getROCs
# 需要导入模块: import BasicData [as 别名]
# 或者: from BasicData import getTechDataInPeriod [as 别名]
def getROCs(stock_code, date, period):
return bd.getTechDataInPeriod("ROC", stock_code, date, period)示例7: getARs
# 需要导入模块: import BasicData [as 别名]
# 或者: from BasicData import getTechDataInPeriod [as 别名]
def getARs(stock_code, date, period):
return bd.getTechDataInPeriod("BRAR_AR", stock_code, date, period)示例8: getAMAs
# 需要导入模块: import BasicData [as 别名]
# 或者: from BasicData import getTechDataInPeriod [as 别名]
def getAMAs(stock_code, date, period):
return bd.getTechDataInPeriod("AMA", stock_code, date, period)