55 lines
2.0 KiB
Python
55 lines
2.0 KiB
Python
import talib
|
||
import numpy as np
|
||
import bn
|
||
import tg
|
||
import datetime
|
||
import setting
|
||
import db
|
||
|
||
flags = {}
|
||
|
||
def check_ema_arrange(data):
|
||
# 提取收盘价
|
||
close_prices = np.array([float(entry[4]) for entry in data])
|
||
|
||
# 计算移动平均线
|
||
ema7 = talib.EMA(close_prices, timeperiod=7)
|
||
ema30 = talib.EMA(close_prices, timeperiod=30)
|
||
ema100 = talib.EMA(close_prices, timeperiod=100)
|
||
ema200 = talib.EMA(close_prices, timeperiod=200)
|
||
|
||
bullish = ema7[-1] > ema30[-1] > ema100[-1] > ema200[-1]
|
||
bearish = ema7[-1] < ema30[-1] < ema100[-1] < ema200[-1]
|
||
|
||
return bullish, bearish
|
||
|
||
|
||
def run(symbol, interval):
|
||
# 获取kline数据
|
||
data = bn.klines(symbol, interval)
|
||
|
||
ticker_price = bn.ticker_price(symbol)
|
||
|
||
bullish, bearish = check_ema_arrange(data)
|
||
|
||
flag_name = symbol + '_' + interval
|
||
text = ""
|
||
data = {}
|
||
if bullish and (flag_name not in flags or flags[flag_name] == False):
|
||
flags[flag_name] = True
|
||
text = f'📶信号预警📶\r\n\r\n品种：【{symbol}】\r\n当前价格：{ticker_price}\r\n周期：{interval}\r\n信号类型：EMA排列\r\n信号：多头\r\n\r\n{datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")}'
|
||
data = {"type" : 1, "symbol": symbol, "interval" : interval, "signal": 1}
|
||
|
||
if bearish and (flag_name not in flags or flags[flag_name] == True):
|
||
flags[flag_name] = False
|
||
text = f'📶信号预警📶\r\n\r\n品种：【{symbol}】\r\n当前价格：{ticker_price}\r\n周期：{interval}\r\n信号类型：EMA排列\r\n信号：空头\r\n\r\n{datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")}'
|
||
data = {"type" : 1, "symbol": symbol, "interval" : interval, "signal": 3}
|
||
if text != "":
|
||
signals = db.get_list('signals', f'symbol="{symbol}" and `interval`="{interval}"')
|
||
for s in signals:
|
||
print(s)
|
||
db.execute_sql(f'delete from signals where `id`={s["id"]}')
|
||
|
||
db.insert(data, 'signals')
|
||
print(text)
|
||
tg.send_message(setting.chat_id, text) |