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add large_trans.

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This commit is contained in:
aazhou 2023-06-16 23:01:03 +08:00
parent 133c7b3bbb
commit f468dcbd5e
4 changed files with 72 additions and 24 deletions
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11
main.py
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@ -3,23 +3,28 @@ import bn
import settings import settings
import time import time
import strategy.crossover as crossover import strategy.crossover as crossover
import strategy.large_trans as lt
# 获取交易所交易对 # 获取交易所交易对
symbols = bn.symbols() symbols = bn.symbols()
for s in symbols: for s in symbols:
# 1m
schedule.every(1).minutes.do(lt.strategy_run)
# 5m # 5m
# schedule.every(5).minutes.do(crossover.strategy_run, symbol=s, interval='5m') # schedule.every(5).minutes.do(crossover.strategy_run, symbol=s, interval='5m')
# 30m # 30m
schedule.every(30).minutes.do(crossover.strategy_run, symbol=s, interval='30m') # schedule.every(30).minutes.do(crossover.strategy_run, symbol=s, interval='30m')
# 1h # 1h
schedule.every(1).hours.do(crossover.strategy_run, symbol=s, interval='1h') # schedule.every(1).hours.do(crossover.strategy_run, symbol=s, interval='1h')
# 4h # 4h
schedule.every(4).hours.do(crossover.strategy_run, symbol=s, interval='4h') # schedule.every(4).hours.do(crossover.strategy_run, symbol=s, interval='4h')
print(f'监控开始... ChatID: {settings.chat_id}') print(f'监控开始... ChatID: {settings.chat_id}')
while True: while True:

13
settings.py
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@ -5,3 +5,16 @@ telegram_bot_key='5863718864:AAFijN65_SbbGQ0WDBggzKJw2SIcZVTVrPw'
# #
chat_id = os.getenv("TQ_CHAT_ID", "@cyber4trading") chat_id = os.getenv("TQ_CHAT_ID", "@cyber4trading")
#oklink
oklink_host = 'https://www.oklink.com'
oklink_apikey='ca822b3f-2e1e-479c-8649-c1f9b62a740d'
oklink_api_headers = {
'Ok-Access-Key' : oklink_apikey
}
#whaleAlert
whaleAlert_apikey='gPkElMPR8Hpe5LxjKisR4YSFzxRxMLj6'
whaleAlert_max_limit = os.getenv('TQ_WHALEALERT_MAX_USD_AMOUNT',2000 * 20000)

26
strategy/large_trans.py Normal file
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@ -0,0 +1,26 @@
import requests
import settings
from datetime import datetime, timedelta
import time
import tg
def strategy_run():
# 获取上一分钟的timestamp
last_min = datetime.now() - timedelta(minutes=1)
ts = time.mktime(last_min.timetuple())
url = f'https://api.whale-alert.io/v1/transactions?api_key={settings.whaleAlert_apikey}&start={int(ts)}'
resp = requests.get(url).json()
data = resp['transactions']
for ts in data:
usd = int(ts['amount_usd'])
if ts['to']['owner_type'] == 'exchange' and ts['from']['owner_type'] == 'unknown' and usd > settings.whaleAlert_max_limit:
from_text = 'unknown wallet'
content = f"🚨 {ts['amount']} #{ts['symbol']} ({ts['amount_usd']} USD) 从 {from_text} 转入 #{ts['to']['owner']}"
print(content)
tg.send_message(settings.chat_id, content)

44
test.py
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@ -2,30 +2,34 @@ import bn
import pandas as pd import pandas as pd
import mplfinance as mpf import mplfinance as mpf
import datetime as dt import datetime as dt
import strategy.large_trans as lt
def binanceDataFrame(klines): # def binanceDataFrame(klines):
df = pd.DataFrame(klines.reshape(-1,12),dtype=float, columns = ('Open Time', # df = pd.DataFrame(klines.reshape(-1,12),dtype=float, columns = ('Open Time',
'Open', # 'Open',
'High', # 'High',
'Low', # 'Low',
'Close', # 'Close',
'Volume', # 'Volume',
'Close time', # 'Close time',
'Quote asset volume', # 'Quote asset volume',
'Number of trades', # 'Number of trades',
'Taker buy base asset volume', # 'Taker buy base asset volume',
'Taker buy quote asset volume', # 'Taker buy quote asset volume',
'Ignore')) # 'Ignore'))
df['Open Time'] = pd.to_datetime(df['Open Time'], unit='ms') # df['Open Time'] = pd.to_datetime(df['Open Time'], unit='ms')
return df # return df
klines = bn.klines('BTCUSDT', '1h') # klines = bn.klines('BTCUSDT', '1h')
df = pd.DataFrame(klines,dtype=float) # df = pd.DataFrame(klines,dtype=float)
df.columns = ['Open time', 'Open', 'High', 'Low', 'Close', 'Volume', 'ctime', 'Quote asset volume', 'Number of trades', 'Taker buy base asset volume', 'Taker buy quote asset volume', 'Can be ignored'] # df.columns = ['Open time', 'Open', 'High', 'Low', 'Close', 'Volume', 'ctime', 'Quote asset volume', 'Number of trades', 'Taker buy base asset volume', 'Taker buy quote asset volume', 'Can be ignored']
df.index = [dt.datetime.fromtimestamp(x/1000.0) for x in df.ctime] # df.index = [dt.datetime.fromtimestamp(x/1000.0) for x in df.ctime]
mpf.plot(df, type='line') # mpf.plot(df, type='line')
lt.strategy_run()