def __init__(self,
date_start='2018-06-10 23:40',
date_end='2018-09-10 23:40'):
self.date = '1980'
self.coinname = 'btc'
Base.txt_remove(self.coinname + '.txt')
print('创建策略完成:' + 'PolicyInfinite' + self.coinname)
# 实例化模型
self.model = InfiniteModel()
# 定义容器
self.dict_account = {
'quanyi': 0,
'money': 10000,
'paper_duo': 0,
'paper_kong': 0,
'priceaver_duo': 0,
'priceaver_kong': 0,
'rate_margin': 0
}
self.dict_record = {
'fund_start': 0,
'quanyi_start': 0,
'price_start': 0,
'paper_chong': 0,
'paper_aver': 0,
'timestampRecord': 0,
'timestampNow': 0,
'list_price': [],
'list_shouyi': [],
'list_quanyi': [],
'list_fund': []
}
self.dict_param = {
'date_start': date_start,
'date_end': date_end,
'isStop': False,
'wg_num': 100,
'jiange_wg': 0.01,
'jiange_sell': 0.02,
}
self.list_wg = []
self.dict_close = {}
self.dict_open = {}
self.main(self.coinname)
def main(self, date_start, date_end, param=None):
if param is None:
param = {}
return
# 初始化容器
self.coin = str(param['symbol']).lower()[0:3]
self.symbol = param['symbol']
self.param = param
self.param['contract_size'] = Base.get_contract_size(self.coin)
self.list_wg_trade = []
self.dict_acc = {
'money': 10000,
'margin_balance': 0,
'fund_start': 0,
'price_start': 0,
'lun_price_start': 0,
'lun_timestamp_start': 0,
'lun_margin_balance_start': 0,
'lun_fund_start': 0,
}
self.dict_record = {
'timestamp': 0,
'list_margin_balance': [],
'list_rate_kline': [],
'list_rate_profit': [],
'list_fund': [],
'list_money': [],
'list_rate_paper_duo': [],
'list_rate_paper_kong': [],
'list_rate_paper': [],
}
Base.txt_remove(self.symbol + '.txt')
self.log('进入策略main函数,准备容器完成,param=' + str(param))
self.log('dict_acc=' + str(self.dict_acc))
# 遍历数据
path = os.path.abspath(
os.getcwd()) + '/klineok/' + self.coin + '1m1dok.csv'
df_1m = pd.read_csv(path, index_col=0).reset_index()
for i in range(len(df_1m)):
timestamp = int(df_1m.loc[i, 'timestamp'])
if Base.date_to_timestamp(
date_start) < timestamp < Base.date_to_timestamp(date_end):
close = float(df_1m.loc[i, 'close'])
high = float(df_1m.loc[i, 'high'])
low = float(df_1m.loc[i, 'low'])
atr = float(df_1m.loc[i, 'atr'])
self.dict_data = {
'date': df_1m.loc[i, 'date'],
'timestamp': timestamp,
'open': float(df_1m.loc[i, 'open']),
'high': high,
'low': low,
'close': close,
'day_date': df_1m.loc[i, 'day_date'],
'ma60': float(df_1m.loc[i, 'ma60']),
'ma91': float(df_1m.loc[i, 'ma91']),
'atr': atr,
}
# 判断是否首次遍历
if self.dict_acc['price_start'] == 0:
self.dict_acc['price_start'] = close
self.dict_acc['fund_start'] = self.dict_acc['money']
continue
# 判断买币
if self.dict_acc['margin_balance'] == 0 and self.dict_acc[
'money'] == self.dict_acc['fund_start']:
self.trade_coin(close,
round(self.dict_acc['money'] / close, 4),
True)
continue
# 判断创建网格
if len(self.list_wg_trade) <= 1:
self.creat_wg_trade(close, self.dict_data['ma91'])
continue
# 合约交易
self.trade_contract(high, low, close,
self.param['contract_size'])
# 记录日志
self.record(close)
elif timestamp > Base.date_to_timestamp(date_end):
break
elif len(self.dict_record['list_rate_profit']) > 0:
if self.dict_record['list_rate_profit'][-1] < -30:
Base.txt_write(
'./result/' + 'index',
'err' + str(self.dict_record['list_rate_profit'][-1]))
break
# 绘图
Base.txt_write(
'./result/' + 'index',
'通过,最大回撤' + str(min(self.dict_record['list_rate_profit'])))
Base.chart('margin_balance',
self.dict_record['list_margin_balance'],
path=self.path)
Base.chart('rate_kline_rate_profit',
self.dict_record['list_rate_kline'],
self.dict_record['list_rate_profit'],
path=self.path)
Base.chart('fund_money',
self.dict_record['list_fund'],
self.dict_record['list_money'],
path=self.path)
Base.chart('paper_duo_paper_kong_paper',
self.dict_record['list_rate_paper_duo'],
self.dict_record['list_rate_paper_kong'],
self.dict_record['list_rate_paper'],
path=self.path)
Base.wg_csv('final', int(self.dict_data['timestamp']),
self.list_wg_trade, self.path)
def main(self, symbol, date_start, date_end, param=None):
if param is None:
param = {}
coin = str(symbol).lower()[0:3]
# 填充容器
self.symbol = symbol
self.param = param
self.param['contract_size'] = Base.get_contract_size(coin)
self.list_wg = []
self.dict_acc = {
'fund_start': 10000,
'price_start': 0,
'lun_timestamp_start': 0,
'lun_margin_start': 0,
'margin_balance': 0,
'money': 10000,
'record_timestamp': 0,
'record_list_margin_balance': [],
'record_list_fund': [],
'record_list_rate_kline': [],
'record_list_rate_profit': [],
'record_list_rate_paper': [],
'record_list_rate_paper_duo': [],
'record_list_rate_paper_kong': []
}
Base.txt_remove(self.symbol + '.txt')
self.log('进入策略main函数,准备容器完成,param=' + str(param))
self.log('dict_acc=' + str(self.dict_acc))
# 遍历数据
path = os.path.abspath(os.getcwd()) + '/klineok/' + coin + '1m1dok.csv'
df_1m = pd.read_csv(path, index_col=0).reset_index()
for i in range(len(df_1m)):
timestamp = int(df_1m.loc[i, 'timestamp'])
if Base.date_to_timestamp(
date_start) < timestamp < Base.date_to_timestamp(date_end):
close = float(df_1m.loc[i, 'close'])
high = float(df_1m.loc[i, 'high'])
low = float(df_1m.loc[i, 'low'])
atr = float(df_1m.loc[i, 'atr'])
self.dict_data = {
'date': df_1m.loc[i, 'date'],
'timestamp': timestamp,
'open': float(df_1m.loc[i, 'open']),
'high': high,
'low': low,
'close': close,
'day_date': df_1m.loc[i, 'day_date'],
'ma60': float(df_1m.loc[i, 'ma60']),
'ma91': float(df_1m.loc[i, 'ma91']),
'atr': atr,
}
if self.dict_acc['price_start'] == 0:
self.dict_acc['price_start'] = close
margin_balance = self.dict_acc['margin_balance']
contract_size = self.param['contract_size']
paper_cover = int(margin_balance * close / contract_size)
paper_each = max(1, round(paper_cover * self.param['paper'],
2))
self.check(close, timestamp)
self.wg_trade(close, high, low, atr, timestamp, paper_each)
elif timestamp > Base.date_to_timestamp(date_end):
break
# 绘图
Base.chart('margin_balance',
self.dict_acc['record_list_margin_balance'])
Base.chart('fund', self.dict_acc['record_list_fund'])
Base.chart('kline_profit', self.dict_acc['record_list_rate_kline'],
self.dict_acc['record_list_rate_profit'])
Base.chart('record_list_rate_paper',
self.dict_acc['record_list_rate_paper'])
Base.chart('kline_paperduo_paperkong',
self.dict_acc['record_list_rate_kline'],
self.dict_acc['record_list_rate_paper_duo'],
self.dict_acc['record_list_rate_paper_kong'])
Base.wg_csv('final', int(self.dict_data['timestamp']), self.list_wg)