65 lines
2.4 KiB
Python
65 lines
2.4 KiB
Python
from binance.spot import Spot
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import talib
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import numpy as np
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import pandas as pd
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import datasource.crypto
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import time,setting
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import telegram_sender
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from datasource import crypto
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# crossover 函数：检测上穿信号
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def crossover(series1, series2):
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return (series1 > series2) & (series1.shift(1) <= series2.shift(1))
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# crossunder 函数：检测下穿信号
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def crossunder(series1, series2):
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return (series1 < series2) & (series1.shift(1) >= series2.shift(1))
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## 检查信号
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def stratergy_run(symbol, interval,df):
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## 计算 ema
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df['ema13'] = talib.EMA(df['close'], timeperiod=13)
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df['ema144'] = talib.EMA(df['close'], timeperiod=144)
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df['ema169'] = talib.EMA(df['close'], timeperiod=169)
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df['ema576'] = talib.EMA(df['close'], timeperiod=576)
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df['ema676'] = talib.EMA(df['close'], timeperiod=676)
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maxline = np.maximum(df['ema144'], df['ema169'])
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minline = np.minimum(df['ema144'], df['ema169'])
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shortArragement = df['ema13'] < minline
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longArrangement = df['ema13'] > maxline
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confuse = (df['ema13'] >= minline) & (df['ema13'] <= maxline)
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crossRatio = 0.2
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shortA = crossunder(df['ema13'], minline)
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shortB = shortArragement & crossunder(df['close'], minline) & (((minline - df['close']) / df.apply(lambda x: abs(x['open'] - x['close']), axis=1)) > crossRatio)
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df['shortResut'] = (shortA | shortB) & (confuse == False)
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longA = crossover(df['ema13'], maxline)
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longB = longArrangement & crossover(df['close'], maxline) & (((df['close'] - maxline) / df.apply(lambda x: abs(x['open'] - x['close']), axis=1)) > crossRatio)
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df['longResut'] = (longA | longB) & (confuse == False)
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latest = df.iloc[-1]
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direction = ""
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if latest['shortResut']==True:
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direction = '空'
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if latest['longResut']==True:
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direction = '多'
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message = f"⭐️信号提醒⭐️\r\n\r\n策略:【Vegas趋势跟踪V1.0】\r\n品种: {symbol}\r\n周期: {interval}\r\n信号: 【{direction}】\r\n当前价格:{latest['open']}\r\n\r\n{latest['timestamp']}"
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print(f"{symbol} - {interval} is checked!")
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if direction != "":
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telegram_sender.send_message(setting.chat_id, message)
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def run_crypto(interval):
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print('Vegas策略运行....')
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symbols = crypto.get_top_binance_usdt_pairs(10)
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for s in symbols:
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df = crypto.get_klines(s, interval)
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stratergy_run(s,interval, df)
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time.sleep(1) |