| | |
| | | # 是否有涨停 |
| | | import copy |
| | | import json |
| | | import random |
| | | import time |
| | | |
| | | from code_attribute import gpcode_manager |
| | | |
| | |
| | | |
| | | |
| | | class CodeNatureRecordManager: |
| | | __redisManager = RedisManager(0) |
| | | __k_format_cache = {} |
| | | __nature_cache = {} |
| | | |
| | | __db = 0 |
| | | __instance = None |
| | | __redis_manager = redis_manager.RedisManager(0) |
| | | |
| | | def __new__(cls, *args, **kwargs): |
| | | if not cls.__instance: |
| | | cls.__instance = super(CodeNatureRecordManager, cls).__new__(cls, *args, **kwargs) |
| | | cls.__load_datas() |
| | | return cls.__instance |
| | | |
| | | @classmethod |
| | | def __get_redis(cls): |
| | | return cls.__redisManager.getRedis() |
| | | return cls.__redis_manager.getRedis() |
| | | |
| | | @classmethod |
| | | def __load_datas(cls): |
| | | __redis = cls.__get_redis() |
| | | try: |
| | | keys = RedisUtils.keys(__redis, "k_format-*") |
| | | for k in keys: |
| | | code = k.split("-")[1] |
| | | val = RedisUtils.get(__redis, k) |
| | | val = json.loads(val) |
| | | cls.__k_format_cache[code] = val |
| | | keys = RedisUtils.keys(__redis, "code_nature-*") |
| | | for k in keys: |
| | | code = k.split("-")[1] |
| | | val = RedisUtils.get(__redis, k) |
| | | val = json.loads(val) |
| | | cls.__nature_cache[code] = val |
| | | except: |
| | | pass |
| | | finally: |
| | | RedisUtils.realse(__redis) |
| | | |
| | | # 保存K线形态 |
| | | @classmethod |
| | | def save_k_format(cls, code, k_format): |
| | | RedisUtils.setex(cls.__get_redis(), f"k_format-{code}", tool.get_expire(), json.dumps(k_format)) |
| | | def save_k_format(self, code, k_format): |
| | | self.__k_format_cache[code] = k_format |
| | | RedisUtils.setex_async(self.__db, f"k_format-{code}", tool.get_expire(), json.dumps(k_format)) |
| | | |
| | | @classmethod |
| | | def get_k_format(cls, code): |
| | | val = RedisUtils.get(cls.__get_redis(), f"k_format-{code}") |
| | | def get_k_format(self, code): |
| | | val = RedisUtils.get(self.__get_redis(), f"k_format-{code}") |
| | | if val: |
| | | return json.loads(val) |
| | | return None |
| | | |
| | | @classmethod |
| | | def get_k_format_cache(cls, code): |
| | | val = None |
| | | if code in cls.__k_format_cache: |
| | | val = cls.__k_format_cache[code] |
| | | if not val: |
| | | val = cls.get_k_format(code) |
| | | if val: |
| | | cls.__k_format_cache[code] = val |
| | | def get_k_format_cache(self, code): |
| | | val = self.__k_format_cache.get(code) |
| | | # 复制 |
| | | return copy.deepcopy(val) if val else None |
| | | |
| | | # 保存股性 |
| | | @classmethod |
| | | def save_nature(cls, code, natures): |
| | | RedisUtils.setex(cls.__get_redis(), f"code_nature-{code}", tool.get_expire(), json.dumps(natures)) |
| | | def clear(self): |
| | | self.__k_format_cache.clear() |
| | | self.__nature_cache.clear() |
| | | keys = RedisUtils.keys(self.__get_redis(), "k_format-*") |
| | | for k in keys: |
| | | RedisUtils.delete(self.__get_redis(), k) |
| | | keys = RedisUtils.keys(self.__get_redis(), "code_nature-*") |
| | | for k in keys: |
| | | RedisUtils.delete(self.__get_redis(), k) |
| | | |
| | | @classmethod |
| | | def get_nature(cls, code): |
| | | val = RedisUtils.get(cls.__get_redis(), f"code_nature-{code}") |
| | | # 保存股性 |
| | | |
| | | def save_nature(self, code, natures): |
| | | RedisUtils.setex_async(self.__db, f"code_nature-{code}", tool.get_expire(), json.dumps(natures)) |
| | | |
| | | def get_nature(self, code): |
| | | val = RedisUtils.get(self.__get_redis(), f"code_nature-{code}") |
| | | if val: |
| | | return json.loads(val) |
| | | return None |
| | | |
| | | @classmethod |
| | | def get_nature_cache(cls, code): |
| | | if code in cls.__nature_cache: |
| | | return cls.__nature_cache[code] |
| | | val = cls.get_nature(code) |
| | | if val: |
| | | cls.__nature_cache[code] = val |
| | | return val |
| | | def get_nature_cache(self, code): |
| | | return self.__nature_cache.get(code) |
| | | |
| | | |
| | | class LatestMaxVolumeManager: |
| | |
| | | RedisUtils.delete_async(self.__db, k) |
| | | |
| | | |
| | | # 涨幅过高的票管理 |
| | | class HighIncreaseCodeManager: |
| | | __db = 0 |
| | | __instance = None |
| | | __redis_manager = redis_manager.RedisManager(0) |
| | | __high_increase_codes = set() |
| | | |
| | | def __new__(cls, *args, **kwargs): |
| | | if not cls.__instance: |
| | | cls.__instance = super(HighIncreaseCodeManager, cls).__new__(cls, *args, **kwargs) |
| | | cls.__load_datas() |
| | | return cls.__instance |
| | | |
| | | @classmethod |
| | | def __load_datas(cls): |
| | | __redis = cls.__get_redis() |
| | | try: |
| | | cls.__high_increase_codes = RedisUtils.smembers(__redis, "high_increase_codes") |
| | | finally: |
| | | RedisUtils.realse(__redis) |
| | | |
| | | @classmethod |
| | | def __get_redis(cls): |
| | | return cls.__redis_manager.getRedis() |
| | | |
| | | def add_code(self, code): |
| | | if self.__high_increase_codes is None: |
| | | self.__high_increase_codes = set() |
| | | self.__high_increase_codes.add(code) |
| | | RedisUtils.sadd_async(self.__db, "high_increase_codes", code) |
| | | RedisUtils.expire_async(self.__db, "high_increase_codes", tool.get_expire()) |
| | | |
| | | def is_in(self, code): |
| | | return code in self.__high_increase_codes |
| | | |
| | | # 加载全部 |
| | | def list_all(self): |
| | | return self.__high_increase_codes |
| | | |
| | | def clear(self): |
| | | if self.__high_increase_codes: |
| | | self.__high_increase_codes.clear() |
| | | RedisUtils.delete_async(self.__db, "high_increase_codes") |
| | | |
| | | |
| | | # 设置历史K线 |
| | | def set_record_datas(code, limit_up_price, record_datas): |
| | | k_format = get_k_format(float(limit_up_price), record_datas) |
| | | CodeNatureRecordManager.save_k_format(code, k_format) |
| | | CodeNatureRecordManager().save_k_format(code, k_format) |
| | | natures = get_nature(record_datas) |
| | | CodeNatureRecordManager.save_nature(code, natures) |
| | | CodeNatureRecordManager().save_nature(code, natures) |
| | | |
| | | |
| | | # 获取K线形态 |
| | | # 返回 (15个交易日涨幅是否大于24.9%,是否破前高,是否超跌,是否接近前高,是否N,是否V,是否有形态,天量大阳信息,是否具有辨识度) |
| | | # 返回 (15个交易日涨幅是否大于24.9%,是否破前高,是否超跌,是否接近前高,是否N,是否V,是否有形态,天量大阳信息,是否具有辨识度,近2天有10天内最大量,上个交易日是否炸板) |
| | | def get_k_format(limit_up_price, record_datas): |
| | | p1_data = get_lowest_price_rate(record_datas) |
| | | p1 = p1_data[0] >= 0.249, p1_data[1] |
| | |
| | | |
| | | # 是否具有辨识度 |
| | | p9 = is_special(record_datas) |
| | | p10 = is_latest_10d_max_volume_at_latest_2d(record_datas) |
| | | # 最近5天是否跌停/炸板 |
| | | p11 = __is_latest_open_limit_up_or_limit_down(record_datas, 5) |
| | | # 30天内是否有涨停 |
| | | p12 = __has_limit_up(record_datas, 30) |
| | | |
| | | return p1, p2, p3, p4, p5, p6, p7, p8, p9 |
| | | return p1, p2, p3, p4, p5, p6, p7, p8, p9, p10, p11, p12 |
| | | |
| | | |
| | | # 是否具有K线形态 |
| | | def is_has_k_format(limit_up_price, record_datas): |
| | | is_too_high, is_new_top, is_lowest, is_near_new_top, is_n, is_v, has_format, volume_info, is_special = get_k_format( |
| | | is_too_high, is_new_top, is_lowest, is_near_new_top, is_n, is_v, has_format, volume_info, is_special, has_max_volume, open_limit_up, is_limit_up_in_30days = get_k_format( |
| | | float(limit_up_price), record_datas) |
| | | if not has_format: |
| | | return False, "不满足K线形态" |
| | |
| | | |
| | | |
| | | # 是否涨得太高 |
| | | def is_up_too_high_in_10d(record_datas): |
| | | def is_up_too_high_in_10d_with_limit_up(record_datas): |
| | | datas = copy.deepcopy(record_datas) |
| | | datas.sort(key=lambda x: x["bob"]) |
| | | datas = datas[-10:] |
| | | limit_ups = [] |
| | | limit_up_count = 0 |
| | | max_price = datas[0]["high"] |
| | | for data in datas: |
| | | limit_up_price = float(gpcode_manager.get_limit_up_price_by_preprice(data["pre_close"])) |
| | | date = data['bob'].strftime("%Y-%m-%d") |
| | | if data["high"] > max_price: |
| | | max_price = data["high"] |
| | | if abs(limit_up_price - data["high"]) < 0.01: |
| | | limit_ups.append((date, True)) |
| | | limit_up_count += 1 |
| | | else: |
| | | limit_ups.append((date, False)) |
| | | # 下降幅度 |
| | | limit_down_rate = round((max_price - datas[-1]["close"]) / max_price, 3) |
| | | |
| | | if limit_up_count < 3: |
| | | return False |
| | |
| | | for t in temp_datas: |
| | | if t[1]: |
| | | t_count += 1 |
| | | if t_count >= 3: |
| | | if t_count >= 3 and limit_down_rate < 0.15: |
| | | # 降幅小于20% |
| | | return True |
| | | |
| | | return False |
| | | |
| | | |
| | | # 10天内的最高量是否集中在最近两天 |
| | | def is_latest_10d_max_volume_at_latest_2d(record_datas): |
| | | datas = copy.deepcopy(record_datas) |
| | | datas.sort(key=lambda x: x["bob"]) |
| | | datas = datas[-10:] |
| | | max_volume_info = None |
| | | for i in range(0, len(datas)): |
| | | if not max_volume_info: |
| | | max_volume_info = (i, datas[i]["volume"]) |
| | | else: |
| | | if max_volume_info[1] < datas[i]["volume"]: |
| | | max_volume_info = (i, datas[i]["volume"]) |
| | | return len(datas) - max_volume_info[0] <= 2 |
| | | |
| | | |
| | | # 120 天内是否长得太高 |
| | |
| | | return False |
| | | |
| | | |
| | | # 在最近几天内股价是否长得太高 |
| | | def is_price_too_high_in_days(record_datas, limit_up_price, day_count=5): |
| | | datas = copy.deepcopy(record_datas) |
| | | datas.sort(key=lambda x: x["bob"]) |
| | | datas = datas[0 - day_count:] |
| | | min_price = None |
| | | max_price = None |
| | | for d in datas: |
| | | if min_price is None: |
| | | min_price = d["low"] |
| | | if max_price is None: |
| | | max_price = d["high"] |
| | | if min_price > d["low"]: |
| | | min_price = d["low"] |
| | | if max_price < d["high"]: |
| | | max_price = d["high"] |
| | | # if max_price > float(limit_up_price): |
| | | # return False |
| | | rate = (float(limit_up_price) - min_price) / min_price |
| | | # print(rate) |
| | | if rate >= 0.28: |
| | | return True |
| | | return False |
| | | |
| | | |
| | | # 是否有涨停 |
| | | def get_first_limit_up_count(datas): |
| | | datas = copy.deepcopy(datas) |
| | |
| | | return __is_new_top(float(limit_up_price), datas)[0] |
| | | |
| | | |
| | | def is_near_top(limit_up_price, datas): |
| | | return __is_near_new_top(float(limit_up_price), datas)[0] |
| | | |
| | | |
| | | # 接近新高 |
| | | def __is_near_new_top(limit_up_price, datas): |
| | | datas = copy.deepcopy(datas) |
| | | datas.sort(key=lambda x: x["bob"]) |
| | | datas = datas[-80:] |
| | | max_volume = 0 |
| | | max_volume_index = 0 |
| | | |
| | | max_price = 0 |
| | | max_price_index = 0 |
| | | for index in range(0, len(datas)): |
| | | data = datas[index] |
| | | if max_volume < data["volume"]: |
| | | max_volume = data["volume"] |
| | | max_volume_index = index |
| | | |
| | | price = 0 |
| | | price_index = 0 |
| | | for index in range(max_volume_index, len(datas)): |
| | | data = datas[index] |
| | | if data["high"] > price: |
| | | price = data["high"] |
| | | price_index = index |
| | | |
| | | index = price_index |
| | | # 最大量当日最高价比当日之后的最高价涨幅在15%以内 |
| | | if (price - datas[max_volume_index]["high"]) / datas[max_volume_index]["high"] < 0.15: |
| | | price = datas[max_volume_index]["high"] |
| | | index = max_volume_index |
| | | |
| | | print(max_volume) |
| | | rate = (price - limit_up_price) / limit_up_price |
| | | if 0 < rate < 0.03: |
| | | return True, datas[index]['bob'].strftime("%Y-%m-%d") |
| | | if data["high"] > max_price: |
| | | max_price = data["high"] |
| | | max_price_index = index |
| | | rate = (max_price - float(limit_up_price)) / max_price |
| | | if 0 < rate < 0.02: |
| | | return True, datas[max_price_index]['bob'].strftime("%Y-%m-%d") |
| | | return False, '' |
| | | |
| | | |
| | |
| | | if max_price > min_price: |
| | | return True, '' |
| | | return False, '' |
| | | |
| | | |
| | | # 最近几天是否有炸板或跌停 |
| | | def __is_latest_open_limit_up_or_limit_down(datas, day_count): |
| | | datas = copy.deepcopy(datas) |
| | | datas.sort(key=lambda x: x["bob"]) |
| | | items = datas[0-day_count] |
| | | for item in items: |
| | | limit_up_price = float(gpcode_manager.get_limit_up_price_by_preprice(item["pre_close"])) |
| | | if abs(limit_up_price - item["high"]) < 0.001 and abs(limit_up_price - item["close"]) > 0.001: |
| | | # 炸板 |
| | | return True |
| | | # 是否有跌停 |
| | | limit_down_price = float(gpcode_manager.get_limit_down_price_by_preprice(item["pre_close"])) |
| | | if abs(limit_down_price - item["close"]) < 0.001: |
| | | # 跌停 |
| | | return True |
| | | return False |
| | | |
| | | |
| | | # V字形 |
| | |
| | | def __is_limited_up(data): |
| | | limit_up_price = float(gpcode_manager.get_limit_up_price_by_preprice(data["pre_close"])) |
| | | return abs(limit_up_price - data["high"]) < 0.001 |
| | | |
| | | |
| | | # 多少天内是否有涨停/曾涨停 |
| | | def __has_limit_up(datas, day_count): |
| | | datas = copy.deepcopy(datas) |
| | | datas.sort(key=lambda x: x["bob"]) |
| | | datas = datas[0 - day_count:] |
| | | if len(datas) >= 1: |
| | | for i in range(0, len(datas)): |
| | | item = datas[i] |
| | | if __is_limit_up(item): |
| | | return True |
| | | return False |
| | | |
| | | |
| | | # 首板涨停溢价率 |
| | |
| | | |
| | | |
| | | if __name__ == "__main__": |
| | | print(CodeNatureRecordManager.get_k_format("603717")) |
| | | HighIncreaseCodeManager().add_code("000333") |
| | | print(HighIncreaseCodeManager().is_in("000333")) |
| | | print(HighIncreaseCodeManager().is_in("000222")) |