示例#1
0
import pandas as pd
from rqalpha_backtest.Base import pickle_to_excel
pickle_to_excel(pickle_path='combine_RSI_ma_slope.pkl')
# dict = pd.read_pickle('bolling_bond.pkl')

# print (dict)

# import click
# from rqalpha import cli
# @cli.command()
# @click.argument('result_pickle_file_path', type=click.Path(exists=True), required=True)
# @click.option('--show/--hide', 'show', default=True)
# @click.option('--plot-save', 'plot_save_file', default=None, type=click.Path(), help="save plot result to file")
# def plot(result_pickle_file_path, show, plot_save_file):
#     """
#     [sys_analyser] draw result DataFrame
#     """
# import pandas as pd
from rqalpha.mod.rqalpha_mod_sys_analyser.plot import plot_result

# result_dict = pd.read_pickle('combine_RSI_ma_slope.pkl')

# pd.read_pickle('bolling_bond.pkl').plots.to_excel('C:\\Users\wilsonZhang\Desktop\\bolling_bond_plot.xlsx')
# print (result_dict)
# plot_result(result_dict)
示例#2
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config = {
    "base": {
        "data_bundle_path": "D:\\rqalpha\data_bundle\\bundle",
        "start_date": "2017-06-01",
        "end_date": "2019-06-10",
        "benchmark": "000300.XSHG",
        "accounts": {
            "stock": 10000000
        }
    },
    "extra": {
        "log_level": "verbose",
    },
    "mod": {
        "sys_analyser": {
            "enabled": True,
            "plot": True,
            "output_file": "Portfolio_RSI.pkl"
        }
    }
}

# 您可以指定您要传递的参数
# run_func(init=init, before_trading=before_trading, handle_bar=handle_bar, config=config)

# 如果你的函数命名是按照 API 规范来，则可以直接按照以下方式来运行
run_func(**globals())
from rqalpha_backtest.Base import pickle_to_excel
pickle_to_excel(pickle_path='Portfolio_RSI.pkl')