combine_with_goldminer.py

# coding: utf-8
"""
结合掘金的数据使用 chan 进行缠论技术分析

author: zengbin93
email: zeng_bin8888@163.com
date: 2020-02-02
========================================================================================================================
"""

from gm.api import *
from datetime import datetime
from chan import KlineAnalyze, SolidAnalyze

# 在这里设置你的掘金token，用于获取数据
set_token("your gm token")


def get_kline(symbol, end_date=None, freq='1d', k_count=5000):
    """从掘金获取历史K线数据

    参考： https://www.myquant.cn/docs/python/python_select_api#6fb030ec42984aff

    :param symbol:
    :param end_date: str
        交易日期，如 2019-12-31
    :param freq: str
        K线级别，如 1d
    :param k_count: int
    :return: pd.DataFrame
    """
    if not end_date:
        end_date = datetime.now()
    df = history_n(symbol=symbol, frequency=freq, end_time=end_date,
                   fields='symbol,eob,open,close,high,low,volume',
                   count=k_count, df=True)
    if freq == '1d':
        df = df.iloc[:-1]
    df['dt'] = df['eob']
    df['vol'] = df['volume']
    df = df[['symbol', 'dt', 'open', 'close', 'high', 'low', 'vol']]
    df.sort_values('dt', inplace=True, ascending=True)
    df['dt'] = df.dt.apply(lambda x: x.strftime(r"%Y-%m-%d %H:%M:%S"))
    df.reset_index(drop=True, inplace=True)

    for col in ['open', 'close', 'high', 'low']:
        df[col] = df[col].apply(round, args=(2,))
    return df


def get_klines(symbol, end_date=None, freqs='60s,300s,1800s,1d', k_count=5000):
    """获取不同级别K线"""
    klines = dict()
    freqs = freqs.split(",")
    for freq in freqs:
        df = get_kline(symbol, end_date, freq, k_count)
        klines[freq] = df
    return klines


def use_kline_analyze():
    print('=' * 100, '\n')
    print("KlineAnalyze 的使用方法：\n")
    kline = get_kline(symbol='SHSE.000300', end_date="2020-02-02")
    ka = KlineAnalyze(kline)
    print("线段：", ka.xd, "\n")
    print("中枢：", ka.zs, "\n")


def use_solid_analyze():
    print('=' * 100, '\n')
    print("SolidAnalyze 的使用方法：\n")
    klines = get_klines(symbol='SZSE.300455', end_date="2020-02-02")
    sa = SolidAnalyze(klines)

    # 查看指定级别的三买
    tb = sa.is_third_buy('1800s')
    print("指定级别三买：", tb, "\n")

    # 查看多个级别的三买
    tb = sa.check_third_buy(['60s', '300s', '1800s'])
    print("多级别三买：", tb, "\n")


if __name__ == '__main__':
    use_kline_analyze()
    use_solid_analyze()