pull/706/head
Mr Chen 3 months ago
parent 31ea0865d1
commit b7efc0394b
  1. 1
      .gitignore
  2. 78
      plugins/cryptocurrency_trade/README.md
  3. 555
      plugins/cryptocurrency_trade/ccxt/public_data/data.py
  4. 12
      plugins/cryptocurrency_trade/ccxt/public_data/data.sh
  5. 19
      plugins/cryptocurrency_trade/ccxt/public_data/demo.py
  6. 0
      plugins/cryptocurrency_trade/ccxt/strategy/abs.py
  7. 352
      plugins/cryptocurrency_trade/ccxt/strategy/common.py
  8. 57
      plugins/cryptocurrency_trade/ccxt/strategy/func_test.py
  9. 440
      plugins/cryptocurrency_trade/ccxt/strategy/gate_100.py
  10. 138
      plugins/cryptocurrency_trade/ccxt/strategy/hammer_robot.py
  11. 33
      plugins/cryptocurrency_trade/ccxt/strategy/info.json
  12. 121
      plugins/cryptocurrency_trade/ccxt/strategy/macd_kdj.py
  13. 505
      plugins/cryptocurrency_trade/ccxt/strategy/momentun_trade.py
  14. 48
      plugins/cryptocurrency_trade/ccxt/strategy/notify_demo.py
  15. 294
      plugins/cryptocurrency_trade/ccxt/strategy/on_g_test.py
  16. 437
      plugins/cryptocurrency_trade/ccxt/strategy/online_macd_trade.py
  17. 273
      plugins/cryptocurrency_trade/ccxt/strategy/online_test.py
  18. 102
      plugins/cryptocurrency_trade/ccxt/strategy/rsi_robot.py
  19. 536
      plugins/cryptocurrency_trade/ccxt/strategy/vega_trade.py
  20. 128
      plugins/cryptocurrency_trade/ccxt/test/p1.py
  21. 154
      plugins/cryptocurrency_trade/ccxt/test/p2.py
  22. 61
      plugins/cryptocurrency_trade/ccxt/test/p_test.py
  23. 9
      plugins/cryptocurrency_trade/conf/create.sql
  24. 11
      plugins/cryptocurrency_trade/conf/order.sql
  25. 14
      plugins/cryptocurrency_trade/conf/sup_strategy.tpl
  26. 14
      plugins/cryptocurrency_trade/conf/sup_task.tpl
  27. 350
      plugins/cryptocurrency_trade/cryptocurrency_trade.py
  28. BIN
      plugins/cryptocurrency_trade/ico.png
  29. 26
      plugins/cryptocurrency_trade/index.html
  30. 347
      plugins/cryptocurrency_trade/index.py
  31. 36
      plugins/cryptocurrency_trade/info.json
  32. 63
      plugins/cryptocurrency_trade/install.sh
  33. 11
      plugins/cryptocurrency_trade/static/css/cryptocurrency_trade.css
  34. 11
      plugins/cryptocurrency_trade/static/css/ico.css
  35. 65
      plugins/cryptocurrency_trade/static/html/index.html
  36. 964
      plugins/cryptocurrency_trade/static/js/cryptocurrency_trade.js

1
.gitignore vendored

@ -176,7 +176,6 @@ plugins/op_auth
plugins/l2tp
plugins/openlitespeed
plugins/tamper_proof
plugins/cryptocurrency_trade
plugins/zimg
plugins/bk_demo
plugins/mail

@ -0,0 +1,78 @@
# plugins_cryptocurrency_trade
- https://docs.ccxt.com/en/latest/install.html#python-proxies
数字货币量化交易插件
```
cd /www/server/mdserver-web && python3 plugins/cryptocurrency_trade/ccxt/okex/strategy/st_demo.py
python3 plugins/cryptocurrency_trade/ccxt/okex/strategy/st_demo.py
miniconda3
```
# 免费TV策略
https://cn.tradingview.com/scripts/?script_type=strategies
### tradingview pine 指标
```
// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © TenCloud
//@version=5
indicator("第一个指标",shorttitle = "开心吧")
ema10 = ta.ema(close, 25)
ema100 = ta.ema(close, 100)
l1=plot(ema10, color=color.red,title = "ema10")
l2=plot(ema100,color = color.green, title = "ema100")
buy = ta.crossover(ema10,ema100)
sell = ta.crossunder(ema10,ema100)
plotchar(buy, text = "buy", color=color.green)
plotchar(sell, text="sell", color=color.red)
l_color = ema10>ema100 ? color.green:color.red
fill(l1,l2,color=color.new(l_color,70))
```
### tradingview pine 策略
```
// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © TenCloud
//@version=5
strategy("第一个指标",shorttitle = "开心吧", overlay = true, initial_capital = 1000)
ema10 = ta.ema(close, 25)
ema100 = ta.ema(close, 100)
l1=plot(ema10, color=color.red,title = "ema10")
l2=plot(ema100,color = color.green, title = "ema100")
buy = ta.crossover(ema10,ema100)
sell = ta.crossunder(ema10,ema100)
if buy
strategy.entry("long1", strategy.long,1)
if sell
strategy.close("long1", qty_percent = 100,comment = "平仓多单")
// plotchar(buy, text = "buy", color=color.green)
// plotchar(sell, text="sell", color=color.red)
// l_color = ema10>ema100 ? color.green:color.red
// fill(l1,l2,color=color.new(l_color,70))
```

@ -0,0 +1,555 @@
import ccxt
from datetime import datetime
import time
import sys
import json
import os
import glob
import threading
from pprint import pprint
# print(os.getcwd())
sys.path.append(os.getcwd() + "/class/core")
import mw
# cd /www/server/mdserver-web && source bin/activate
# python3 plugins/cryptocurrency_trade/ccxt/public_data/data.py run
# python3 plugins/cryptocurrency_trade/ccxt/public_data/data.py long
# 查看支持的交易所
# print(ccxt.exchanges)
# 代理设置
# exchange = ccxt.poloniex({
# 'proxies': {
# 'http': 'http://127.0.0.1:1088'
# },
# })
# exchange = ccxt.poloniex()
exchange = ccxt.okex()
def getPluginName():
return 'cryptocurrency_trade'
def getPluginDir():
return mw.getPluginDir() + '/' + getPluginName()
def getServerDir():
return mw.getServerDir() + '/' + getPluginName()
def getConfigData():
cfg_path = getServerDir() + "/data.cfg"
if not os.path.exists(cfg_path):
mw.writeFile(cfg_path, '{}')
t = mw.readFile(cfg_path)
return json.loads(t)
def writeLog(log_str):
if __name__ == "__main__":
print(log_str)
log_file = getServerDir() + '/logs/datasource.log'
mw.writeFileLog(log_str, log_file, 1 * 1024 * 1024)
return True
def isSetDbConf():
data = getConfigData()
if 'db' in data:
return True
return False
def beforeDate(day=360):
dd = time.time() - day * 86400
d = datetime.fromtimestamp(dd)
day = d.strftime("%Y-%m-%d")
return day
def getTextTimeShow(time):
d = datetime.fromtimestamp(time)
day = d.strftime("%Y-%m-%d %H:%M:%S")
return day
def isSqlError(mysqlMsg):
# 检测数据库执行错误
mysqlMsg = str(mysqlMsg)
if "MySQLdb" in mysqlMsg:
return mw.returnJson(False, 'MySQLdb组件缺失! <br>进入SSH命令行输入: pip install mysql-python | pip install mysqlclient==2.0.3')
if "2002," in mysqlMsg:
return mw.returnJson(False, '数据库连接失败,请检查数据库服务是否启动!')
if "2003," in mysqlMsg:
return mw.returnJson(False, "Can't connect to MySQL server on '127.0.0.1' (61)")
if "using password:" in mysqlMsg:
return mw.returnJson(False, '数据库密码错误')
if "1045" in mysqlMsg:
return mw.returnJson(False, '连接错误!')
if "SQL syntax" in mysqlMsg:
return mw.returnJson(False, 'SQL语法错误!')
if "Connection refused" in mysqlMsg:
return mw.returnJson(False, '数据库连接失败,请检查数据库服务是否启动!')
if "1133" in mysqlMsg:
return mw.returnJson(False, '数据库用户不存在!')
if "1007" in mysqlMsg:
return mw.returnJson(False, '数据库已经存在!')
return None
def pMysqlDb():
# pymysql
db = mw.getMyORM()
data = getConfigData()
db_data = data['db']
db.setHost(db_data['db_host'])
db.setPort(db_data['db_port'])
db.setUser(db_data['db_user'])
db.setPwd(db_data['db_pass'])
db.setDbName(db_data['db_name'])
return db
def makeInsertSql(table, item):
sql = "insert into " + table
keyStr = '('
valueStr = ' values('
for i in item:
# print i, item[i]
keyStr += '`' + str(i) + '`,'
valueStr += "'" + str(item[i]) + "',"
keyStrLen = len(keyStr)
keyStr = keyStr[0:keyStrLen - 1]
keyStr += ') '
valueStrLen = len(valueStr)
valueStr = valueStr[0:valueStrLen - 1]
valueStr += ') '
sql += keyStr
sql += valueStr
return sql
def makeReplaceSql(table, item):
sql = "replace into " + table
keyStr = '('
valueStr = ' values('
for i in item:
# print i, item[i]
keyStr += '`' + str(i) + '`,'
valueStr += "'" + str(item[i]) + "',"
keyStrLen = len(keyStr)
keyStr = keyStr[0:keyStrLen - 1]
keyStr += ') '
valueStrLen = len(valueStr)
valueStr = valueStr[0:valueStrLen - 1]
valueStr += ') '
sql += keyStr
sql += valueStr
return sql
def makeUpdateSql(table, item, mid):
sql = "update " + table + " set "
keyStr = ''
for i in item:
keyStr += '`' + str(i) + '`=' + "'" + item[i] + "',"
keyStrLen = len(keyStr)
keyStr = keyStr[0:keyStrLen - 1]
sql += keyStr
sql += " where id = '" + str(mid) + "'"
return sql
def dataToDb(table_name, data):
pdb = pMysqlDb()
for i in data:
rdata = {
'addtime': int(i[0] / 1000),
'open': i[1],
'high': i[2],
'low': i[3],
'close': i[4],
'vol': i[5],
}
# sql = """SELECT id FROM %s where addtime='%s' LIMIT 1""" % (
# table_name, rdata['addtime'])
# fdata = pdb.query(sql)
# if fdata:
# print(table_name + ":" + str(rdata['addtime']) + ", old to db ok")
# else:
# isql = makeReplaceSql(table_name, rdata)
# r = pdb.execute(isql)
# print(table_name + ":" + str(rdata['addtime']) + ", go to db ok")
isql = makeReplaceSql(table_name, rdata)
r = pdb.execute(isql)
# print(table_name + ":" + str(rdata['addtime']) + ", go to db ok")
return True
def makeTableName(input_type="btc", input_tf="1m"):
table_name = "ct_%s_%s" % (input_type, input_tf)
return table_name
def isHasTable(input_type="btc", input_tf="1m"):
pdb = pMysqlDb()
# input_type = 'btc'
# input_tf = '1m'
table_name = makeTableName(input_type, input_tf)
mtable = pdb.query("show tables like '%s'" % (table_name,))
if len(mtable) != 0:
return True
return False
def createSql(input_type="btc", input_tf="1m"):
pdb = pMysqlDb()
# input_type = 'btc'
# input_tf = '1m'
table_name = makeTableName(input_type, input_tf)
mtable = pdb.query("show tables like '%s'" % (table_name,))
if len(mtable) != 0:
return True
sql_tpl = getPluginDir() + "/conf/create.sql"
content = mw.readFile(sql_tpl)
content = content.replace("xx1", input_type)
content = content.replace("xx2", input_tf)
res = pdb.execute(content)
# pprint(res)
return True
def getDataFetch(symbol, start_time="2023-3-1", input_tf="1m", limit=500):
start_time = datetime.strptime(start_time, '%Y-%m-%d')
end_time = datetime.strptime(end_time, '%Y-%m-%d')
start_time_stamp = int(time.mktime(start_time.timetuple())) * 1000
data = exchange.fetch_ohlcv(symbol, timeframe=input_tf,
since=start_time_stamp, limit=limit)
return data
def getPointData(symbol, start_time=1677713220000, input_tf="1m", limit=500):
data = exchange.fetch_ohlcv(
symbol, timeframe=input_tf, since=start_time, limit=limit)
return data
def toUnixTimeSecond(tf="1m"):
if tf.find("m") > -1:
v = int(tf.replace("m", ''))
return v * 60
if tf.find("h") > -1:
v = int(tf.replace("h", ''))
return v * 3600
if tf.find("d") > -1:
v = int(tf.replace("d", ''))
return v * 86400
return 0
def findAndUpdateData(tag, input_tf="1m", start_time="2023-1-1", limit=300):
pdb = pMysqlDb()
table_name = makeTableName(tag, input_tf)
sql = 'SELECT addtime FROM ' + table_name + ' order by addtime desc LIMIT 1'
qdata = pdb.query(sql)
start_time = datetime.strptime(start_time, '%Y-%m-%d')
start_time = int(time.mktime(start_time.timetuple())) * 1000
if len(qdata) != 0:
start_time = int(qdata[0]['addtime']) * 1000
pre_time = toUnixTimeSecond(input_tf) * 5 * 1000
start_time = start_time - pre_time
# pprint(start_time)
symbol = tag.upper() + "/USDT"
data = getPointData(symbol, start_time, input_tf, limit)
# pprint(data)
# print("------------lini===========")
# pprint(data[1:])
if len(qdata) == 1:
data = data[1:]
dataToDb(table_name, data)
now = time.strftime("%m/%d %H:%M:%S")
data_len = len(data)
msg_head = now + "|虚拟币:" + tag + ",tf:" + \
input_tf + "!,总数:" + str(data_len)
writeLog(msg_head)
if data_len > 0:
# print("new data time", data[data_len - 1][0])
dt = getTextTimeShow(data[data_len - 1][0] / 1000)
msg = now + "|最新日期:" + dt
writeLog(msg)
table_name = makeTableName(tag, input_tf)
sql = "SELECT addtime FROM " + table_name + \
" order by addtime desc limit 10000,1"
qdata = pdb.query(sql)
if len(qdata) > 0:
print(qdata)
# input_tf_time = toUnixTimeSecond(input_tf)
# now_t = int(time.time())
# del_before_t = now_t - input_tf_time * 1000
sql = "delete from %s where addtime<'%d' " % (
table_name, qdata[0]['addtime'],)
writeLog("删除冗余数据:" + str(sql))
pdb.execute(sql)
return True
def dataToDbTpl(tag='btc', input_tf="1m", start_time="2023-1-1", limit=300):
# tag = "btc"
# tf = "1m"
# start_time = "2023-1-1"
# end_time = "2023-3-2"
symbol = tag.lower() + '/USDT'
if not isHasTable(tag, input_tf):
createSql(tag, input_tf)
data = getDataFetch(symbol, start_time, input_tf, limit)
table_name = makeTableName(tag, input_tf)
dataToDb(table_name, data)
now = time.strftime("%m/%d %H:%M:%S")
data_len = len(data)
writeLog(now + "|数据获取成功!,总数:" + str(data_len))
else:
findAndUpdateData(tag, input_tf, start_time, limit)
return True
def dataToDbList(input_tf="1m", start_time="2023-1-1"):
data = getConfigData()
if not 'token' in data:
writeLog("未设置同步配置,需要添加币种!")
return
for t in data['token']:
dataToDbTpl(t, input_tf, start_time)
time.sleep(4)
def dataRunToDb():
data = getConfigData()
if not 'db' in data:
writeLog("数据库未设置!")
return
tag = "btc"
symbol = tag.upper() + '/USDT'
# pprint(exchange.fetch_ticker('XRP/USDT'))
limit_count = 1
start_time = "2023-1-1"
end_time = "2023-3-2"
tf = "1m"
if not isHasTable(tag, tf):
createSql(tag, tf)
data = getDataFetch(symbol, start_time, end_time, tf, limit_count)
table_name = makeTableName(tag, tf)
dataToDb(table_name, data)
china_datetime = str(datetime.now())
data_len = len(data)
writeLog(china_datetime + ":数据获取成功!,总数:" + str(data_len))
else:
findAndUpdateData(tag, tf, start_time, 30)
return data
def startTask():
# 任务队列
try:
while True:
time.sleep(5)
except Exception as e:
time.sleep(60)
startTask()
def setDaemon(t):
if sys.version_info.major == 3 and sys.version_info.minor >= 10:
t.daemon = True
else:
t.setDaemon(True)
return t
def dataDay():
try:
while True:
if not isSetDbConf():
print("数据库未设置!")
else:
start_time = beforeDate(2 * 365)
dataToDbList("1d", start_time=start_time)
time.sleep(3600)
# time.sleep(10)
except Exception as e:
time.sleep(60)
dataDay()
def data4h():
try:
while True:
if not isSetDbConf():
print("数据库未设置!")
else:
start_time = beforeDate(365)
dataToDbList("4h", start_time=start_time)
time.sleep(10)
except Exception as e:
time.sleep(60)
data4h()
def data1h():
try:
while True:
if not isSetDbConf():
print("数据库未设置!")
else:
start_time = beforeDate(365)
dataToDbList("1h", start_time=start_time)
time.sleep(10)
except Exception as e:
print(e)
time.sleep(60)
data1h()
def data15m():
try:
while True:
if not isSetDbConf():
print("数据库未设置!")
else:
start_time = beforeDate(365)
dataToDbList("15m", start_time=start_time)
time.sleep(10)
except Exception as e:
time.sleep(60)
data15m()
def data5m():
try:
while True:
if not isSetDbConf():
print("数据库未设置!")
else:
start_time = beforeDate(180)
dataToDbList("5m", start_time=start_time)
time.sleep(10)
except Exception as e:
time.sleep(60)
data5m()
def data1m():
try:
while True:
if not isSetDbConf():
print("数据库未设置!")
else:
start_time = beforeDate(30)
dataToDbList("1m", start_time=start_time)
time.sleep(10)
except Exception as e:
time.sleep(60)
data1m()
def longRun():
# 日线
d1_tt = threading.Thread(target=dataDay)
d1_tt = setDaemon(d1_tt)
d1_tt.start()
# 4h
h4_tt = threading.Thread(target=data4h)
h4_tt = setDaemon(h4_tt)
h4_tt.start()
# 1h
h1_tt = threading.Thread(target=data1h)
h1_tt = setDaemon(h1_tt)
h1_tt.start()
# 15m
m15_tt = threading.Thread(target=data15m)
m15_tt = setDaemon(m15_tt)
m15_tt.start()
# 5m
m5_tt = threading.Thread(target=data5m)
m5_tt = setDaemon(m5_tt)
m5_tt.start()
# 1m
# h1m_tt = threading.Thread(target=data1m)
# h1m_tt = setDaemon(h1m_tt)
# h1m_tt.start()
startTask()
def dataRun():
do_num = 0
while True:
if do_num > 1:
break
do_num = do_num + 1
dataRunToDb()
time.sleep(6)
if __name__ == "__main__":
func = sys.argv[1]
if func == 'run':
data5m()()
elif func == 'long':
longRun()
elif func == 'demo':
writeLog('111')
else:
print('error')

@ -0,0 +1,12 @@
#!/bin/bash
PATH=/bin:/sbin:/usr/bin:/usr/sbin:/usr/local/bin:/usr/local/sbin:~/bin
export PATH
curPath=`pwd`
# bash plugins/cryptocurrency_trade/ccxt/public_data/data.sh
if [ -f ${curPath}/bin/activate ];then
source ${curPath}/bin/activate
fi
python3 plugins/cryptocurrency_trade/ccxt/public_data/data.py long

@ -0,0 +1,19 @@
import time
from datetime import datetime
china_datetime = datetime.now()
print(china_datetime)
# date()
tt = time.time() - 180 * 86400
# print(date("%Y-%m-%d", time.time()))
# t = datetime.strptime(str(time.time() - 180 * 86400), "%Y-%m-%d")
# print(t)
d = datetime.fromtimestamp(tt)
# 精确到毫秒
str1 = d.strftime("%Y-%m-%d")
print(str1)

@ -0,0 +1,352 @@
import ccxt
import time
import sys
import json
import os
import glob
import threading
import pandas as pd
from decimal import Decimal
from pprint import pprint
from datetime import datetime
# print(os.getcwd())
sys.path.append(os.getcwd() + "/class/core")
import mw
exchange = ccxt.poloniex()
def calc_ClosingPriceWithOutStopLossPrice(open_price, stype='buy', profit=0.5):
# profit 百分比 %
v = 0
vf_len = len(str(open_price).split('.')[1])
if stype == 'buy':
v = open_price * (100 + profit) / 100
else:
v = open_price * (100 - profit) / 100
return round(v, vf_len)
def roundVal(price, compare_price):
price = float(price)
csplite = str(compare_price).split('.')
clen = len(csplite)
if clen == 2:
vf_len = len(csplite[1])
return round(price, vf_len)
return price
def roundValCeil(price, compare_price):
price = float(price)
csplite = str(compare_price).split('.')
clen = len(csplite)
if clen == 2:
vf_len = len(csplite[1]) - 1
return round(price, vf_len)
return price
def multiply(a1, a2):
v = Decimal(str(a1)) * Decimal(str(a2))
return v
def addition(a1, a2):
v = Decimal(str(a1)) + Decimal(str(a2))
return v
def subtract(a1, a2):
v = Decimal(str(a1)) - Decimal(str(a2))
return v
def divided(a1, a2):
v = Decimal(str(a1)) / Decimal(str(a2))
return v
def calc_ClosingPrice(open_price, stop_loss_price, stype='buy', profit=0.5):
# profit 百分比 %
v = 0
vf_len = len(str(open_price).split('.')[1])
if stype == 'buy':
v = open_price * (100 + profit) / 100
diff = open_price - stop_loss_price
profit_price = open_price + diff * 1.5
if profit_price > v:
return round(profit_price, vf_len)
else:
v = open_price * (100 - profit) / 100
diff = stop_loss_price - open_price
profit_price = open_price - diff * 1.5
if profit_price < v:
return round(profit_price, vf_len)
return round(v, vf_len)
def toDateFromInt(time_unix, tf_format="%Y-%m-%d %H:%M:%S", time_zone="Asia/Shanghai"):
# 取格式时间
import time
os.environ['TZ'] = time_zone
time_str = time.localtime(time_unix)
time.tzset()
return time.strftime(tf_format, time_str)
def getPluginName():
return 'cryptocurrency_trade'
def getPluginDir():
return mw.getPluginDir() + '/' + getPluginName()
def getServerDir():
return mw.getServerDir() + '/' + getPluginName()
def getConfigData():
cfg_path = getServerDir() + "/data.cfg"
if not os.path.exists(cfg_path):
mw.writeFile(cfg_path, '{}')
t = mw.readFile(cfg_path)
return json.loads(t)
def getUserCfgData():
data = getConfigData()
if 'user' in data:
try:
udata = mw.deDoubleCrypt('mw', data['user'])
udata = json.loads(udata)
return udata
except Exception as e:
pass
return []
def initEx():
data = getUserCfgData()
# print(data)
if (len(data) > 0):
exchange = ccxt.okex({
"apiKey": data['app_key'],
"secret": data['secret'],
"password": data['password'],
})
return exchange
else:
print("初始化失败,检查原因!")
exchange = ccxt.poloniex()
return exchange
def toUnixTimeSecond(tf="1m"):
if tf.find("m") > -1:
v = int(tf.replace("m", ''))
return v * 60
if tf.find("h") > -1:
v = int(tf.replace("h", ''))
return v * 3600
if tf.find("d") > -1:
v = int(tf.replace("d", ''))
return v * 86400
return 0
def notifyMsg(msg, tf='15m', tag='btc'):
trigger_time = toUnixTimeSecond(tf)
return mw.notifyMessage(msg, '量化交易/' + tag, trigger_time)
def makeTableName(input_type="btc", input_tf="1m"):
table_name = "ct_%s_%s" % (input_type, input_tf,)
return table_name
def writeLog(log_str):
if __name__ == "__main__":
print(log_str)
log_file = getServerDir() + '/logs/strategy.log'
mw.writeFileLog(log_str, log_file)
return True
def writeLogEx(log_str, tag='btc'):
tag = tag.replace('/', '_')
# 各种币的详细API日志
if __name__ == "__main__":
print(log_str)
log_file = getServerDir() + '/logs/strategy_' + tag + '.log'
mw.writeFileLog(log_str, log_file)
return True
def writeLogErrorEx(log_str, tag='btc'):
tag = tag.replace('/', '_')
# 各种币的详细API日志
if __name__ == "__main__":
print(log_str)
log_file = getServerDir() + '/logs/strategy_' + tag + '.err.log'
mw.writeFileLog(log_str, log_file)
return True
def pMysqlDb():
# pymysql
db = mw.getMyORM()
data = getConfigData()
db_data = data['db']
# print(db_data)
db.setHost(db_data['db_host'])
db.setPort(db_data['db_port'])
db.setUser(db_data['db_user'])
db.setPwd(db_data['db_pass'])
db.setDbName(db_data['db_name'])
return db
def getOnlineData(symbol, input_tf="15m", limit=200):
bars = exchange.fetch_ohlcv(symbol, timeframe=input_tf, limit=limit)
df = pd.DataFrame(bars[:], columns=['timestamp',
'open', 'high', 'low', 'close', 'volume'])
df['dt'] = pd.to_datetime(df['timestamp'], unit='ms')
return df
def toDataFrame(data):
# print(data)
data = sorted(data, key=lambda x: x["addtime"], reverse=False)
dfield = ['addtime', 'open', 'high', 'low', 'close']
v = {}
for dx in dfield:
v[dx] = []
for x in data:
for i in range(len(x)):
field = dfield[i]
# print(i, field)
v[field].append(x[field])
# pprint(data)
frame = pd.DataFrame(v)
# frame = frame.sort_values(by=['addtime'])
frame['dt'] = pd.to_datetime(frame['addtime'], unit='s')
frame.set_index('dt', inplace=True)
frame.index = frame.index.tz_localize('UTC').tz_convert('Asia/Shanghai')
return frame
def getDataFromDb(tf="1m", tag='btc', limit=1000):
tn = makeTableName(tag, tf)
sql = 'select addtime,open,high,low,close from ' + \
tn + ' order by addtime desc limit ' + str(limit)
pdb = pMysqlDb()
fdata = pdb.query(sql)
# print(fdata)
return fdata
def getDataFromDb_DF(tf="5m", tag='btc', limit=1000):
data = getDataFromDb(tf, tag, limit)
rdata = toDataFrame(data)
return rdata
# 消息模板类
class MsgTpl():
__name = ''
__strategy_name = ''
__time_frame = ''
__content = ''
__open_time = ''
__strategy_dt = ''
__stop_loss_price = ''
__closing_price = ''
__open_price = ''
__msg = ''
def setName(self, name):
self.__name = name
def setStrategyName(self, name):
self.__strategy_name = name
def setTimeFrame(self, tf):
self.__time_frame = tf
def setContent(self, content):
self.__content = content
def setOpenTime(self, time):
self.__open_time = toDateFromInt(time)
def setStrategicDt(self, stype='buy'):
if stype == 'buy':
self.__strategy_dt = '做多'
else:
self.__strategy_dt = '做空'
def setStopLossPrice(self, price):
self.__stop_loss_price = price
def setClosingPrice(self, price):
self.__closing_price = price
def setOpenPrice(self, price):
self.__open_price = price
def setMsg(self, msg):
self.__msg = msg
def toText(self):
msg = ''
msg += '名称:' + self.__name + "\n"
if self.__strategy_name != '':
msg += '策略名称:' + self.__strategy_name + "\n"
if self.__time_frame != '':
msg += '时间周期:' + self.__time_frame + "\n"
if self.__content != '':
msg += '策略描述:' + self.__content + "\n"
if self.__open_time != '':
msg += '开盘时间:' + self.__open_time + "\n"
if self.__strategy_dt != '':
msg += '开仓方向:' + self.__strategy_dt + "\n"
if self.__open_price != '':
msg += '开仓价:' + str(self.__open_price) + "\n"
if self.__stop_loss_price != '':
msg += '止损价:' + str(self.__stop_loss_price) + "\n"
if self.__closing_price != '':
msg += '止盈价:' + str(self.__closing_price) + "\n"
msg += '发送时间:' + mw.getDateFromNow() + "\n"
if self.__msg != '':
msg += __msg
return msg

@ -0,0 +1,57 @@
# import ccxt
# import talib
import sys
import os
import time
# import pandas as pd
from pprint import pprint
from decimal import Decimal
sys.path.append(os.getcwd() + "/plugins/cryptocurrency_trade/strategy")
import common
# cd /www/server/mdserver-web && source bin/activate
# python3 plugins/cryptocurrency_trade/ccxt/strategy/func_test.py run
# common.notifyMsg("任务开始")
def toUnixTimeSecond(tf="1m"):
if tf.find("m") > -1:
v = int(tf.replace("m", ''))
return v * 60
if tf.find("h") > -1:
v = int(tf.replace("h", ''))
return v * 3600
if tf.find("d") > -1:
v = int(tf.replace("d", ''))
return v * 86400
return 0
def multiply(a1, a2):
v = Decimal(str(a1)) * Decimal(str(a2))
return v
# print(toUnixTimeSecond("1d"))
# f = 19911.2
# s = common.calc_ClosingPrice(f, 19890.2, 'buy')
# print(s)
# print(sys.version_info)
# os.environ['TZ'] = 'Europe/London'
# time.tzset()
# t = time.strftime('%Y-%m-%d %H:%M:%S', time.localtime())
# print(t)
# v = multiply(26236.8, 0.003)
# print(float(v))
# print(v)
print(float('0.00255234') + float('-0.00000255234'))
v1 = common.addition('0.00255234', '-0.00000255234')
print(v1)

@ -0,0 +1,440 @@
# cd /www/server/mdserver-web && source bin/activate
# python3 plugins/cryptocurrency_trade/ccxt/strategy/gate_100.py run
# python3 plugins/cryptocurrency_trade/ccxt/strategy/gate_100.py long
import ccxt
import talib
import sys
import os
import time
import json
import pandas as pd
# import pandas_ta as ta
from pprint import pprint
import numpy as np
sys.path.append(os.getcwd() + "/plugins/cryptocurrency_trade/strategy")
import common
sys.path.append(os.getcwd() + "/class/core")
import mw
exchange = ccxt.gate({
"apiKey": '756e1ff80526cb0ac9620c75680fc506',
"secret": '95ac89362056bcf12ce37aabff6eb7ec78185483105f39b4a35e8dc8db8b4d3c',
})
exchange.load_markets()
# 默认开仓数据
# default_open_num = 10
default_open = {
"BTC/USDT": 0.01,
'ETH/USDT': 30,
'DOT/USDT': 30,
'CEL/USDT': 30,
}
default_sell = {
"BTC/USDT": 0.01,
'ETH/USDT': 0.01,
'DOT/USDT': 5,
'CEL/USDT': 85,
}
# 做多开仓
def onBuyOrderTry(symbol, stop_loss_price, profit=0.005, timeframe='15m'):
# 信号只在一个周期内执行一次|start
lock_file = common.getServerDir() + '/signal.json'
if not os.path.exists(lock_file):
mw.writeFile(lock_file, '{}')
stype = symbol.replace('/', '_') + '_' + timeframe
trigger_time = common.toUnixTimeSecond(timeframe)
lock_data = json.loads(mw.readFile(lock_file))
if stype in lock_data:
diff_time = time.time() - lock_data[stype]['do_time']
if diff_time >= trigger_time:
lock_data[stype]['do_time'] = time.time()
else:
return False, 0, 0
else:
lock_data[stype] = {'do_time': time.time()}
mw.writeFile(lock_file, json.dumps(lock_data))
# 信号只在一个周期内执行一次|end
common.writeLogEx('------做多----------------------------------', symbol)
default_open_num = default_open[symbol]
# 做多开仓 | 市价
data = exchange.createMarketBuyOrder(
symbol, default_open_num, {"tdMode": "cross"})
common.writeLogEx('开仓数据:', symbol)
common.writeLogEx(json.dumps(data), symbol)
order_id = data['info']['ordId']
order_data = exchange.fetchOrder(order_id, symbol)
common.writeLogEx('订单数据:', symbol)
common.writeLogEx(json.dumps(order_data), symbol)
# 实际开场平均价
open_price = order_data['info']['avgPx']
# 做多-止损价大于开仓价,重设止损价
if float(stop_loss_price) <= float(open_price):
stop_loss_price = float(open_price) * float((1 - 0.003))
# property_val = float(order_data['info']['accFillSz']) + float(order_data['info']['fee'])
property_val = common.addition(
order_data['info']['accFillSz'], order_data['info']['fee'])
property_val = float(property_val)
# 可平仓的数量
property_val = common.roundValCeil(
property_val, order_data['info']['accFillSz'])
common.writeLogEx('可平仓资产:' + str(property_val), symbol)
# 止盈价
diff = float(open_price) - float(stop_loss_price)
closing_price_c = float(open_price) + (diff * 2)
closing_price = float(open_price) * float((1 + profit))
# 选择盈利多的
if closing_price_c > closing_price:
closing_price = closing_price_c
closing_price = common.roundVal(closing_price, stop_loss_price)
# stop_loss_price = common.roundVal(stop_loss_price, open_price)
common.writeLogEx('实际开仓价:' + str(open_price), symbol)
common.writeLogEx('止盈价:' + str(closing_price), symbol)
common.writeLogEx('止损价:' + str(stop_loss_price), symbol)
# 设置 - 止损价/止盈价
sl_exchange_params = {
'ccy': "USDT",
'reduceOnly': True,
'tdMode': "cross",
'slOrdPx': "-1",
'slTriggerPx': stop_loss_price,
}
# 止损条件单
common.writeLogEx('止损参数:' + json.dumps([symbol, 'limit', 'sell',
property_val, stop_loss_price, sl_exchange_params]), symbol)
sl_cond_data = exchange.create_order(
symbol, 'limit', 'sell', property_val, stop_loss_price, sl_exchange_params)
common.writeLogEx('止损价数据:', symbol)
common.writeLogEx(json.dumps(sl_cond_data), symbol)
# 止赢条件单
tp_exchange_params = {
'ccy': "USDT",
'reduceOnly': True,
'tdMode': "cross",
'tpOrdPx': "-1",
'tpTriggerPx': closing_price,
}
common.writeLogEx('止盈参数:' + json.dumps([symbol, 'limit', 'sell',
property_val, closing_price, tp_exchange_params]), symbol)
tp_cond_data = exchange.create_order(
symbol, 'limit', 'sell', property_val, closing_price, tp_exchange_params)
common.writeLogEx('止赢数据:', symbol)
common.writeLogEx(json.dumps(tp_cond_data), symbol)
common.writeLogEx('------做多 end----------------------------------', symbol)
return True, open_price, closing_price
def onBuyOrder(symbol, stop_loss_price, profit=0.005, timeframe='15m'):
# 做多开仓
# profit 百分比
try:
return onBuyOrderTry(symbol, stop_loss_price, profit, timeframe)
except Exception as e:
common.writeLogErrorEx(mw.getTracebackInfo(), symbol)
return False, 0, 0
def onSellOrderTry(symbol, stop_loss_price, profit=0.005, timeframe='15m'):
# 信号只在一个周期内执行一次|start
lock_file = common.getServerDir() + '/signal.json'
if not os.path.exists(lock_file):
mw.writeFile(lock_file, '{}')
stype = symbol.replace('/', '_') + '_' + timeframe
trigger_time = common.toUnixTimeSecond(timeframe)
lock_data = json.loads(mw.readFile(lock_file))
if stype in lock_data:
diff_time = time.time() - lock_data[stype]['do_time']
if diff_time >= trigger_time:
lock_data[stype]['do_time'] = time.time()
else:
return False, 0, 0
else:
lock_data[stype] = {'do_time': time.time()}
mw.writeFile(lock_file, json.dumps(lock_data))
# 信号只在一个周期内执行一次|end
common.writeLogEx('------做空----------------------------------', symbol)
# 计算借币卖币多多少,以USDT为基准
# sell_num = float(default_open_num) / float(stop_loss_price)
# sell_num = round(sell_num, 8)
sell_num = default_sell[symbol]
# 做空开仓 | 市价
data = exchange.createMarketSellOrder(
symbol, sell_num, {"tdMode": "cross", 'ccy': "USDT"})
common.writeLogEx('开仓数据:', symbol)
common.writeLogEx(json.dumps(data), symbol)
order_id = data['info']['ordId']
order_data = exchange.fetchOrder(order_id, symbol)
common.writeLogEx('订单数据:', symbol)
common.writeLogEx(json.dumps(order_data), symbol)
# 实际开场平均价
open_price = order_data['info']['avgPx']
common.writeLogEx('可平仓资产:' + str(sell_num), symbol)
# 做空-止损价小于开仓价,重设止损价
if float(stop_loss_price) <= float(open_price):
stop_loss_price = float(open_price) * float((1 + 0.003))
# 止盈价
diff = float(stop_loss_price) - float(open_price)
closing_price_c = float(open_price) - (diff * 2)
closing_price = float(open_price) * float((1 - profit))
# 选择盈利多的
if closing_price_c < closing_price:
closing_price = closing_price_c
closing_price = common.roundVal(closing_price, open_price)
stop_loss_price = common.roundVal(stop_loss_price, open_price)
common.writeLogEx('实际开仓价:' + str(open_price), symbol)
common.writeLogEx('止盈价:' + str(closing_price), symbol)
common.writeLogEx('止损价:' + str(stop_loss_price), symbol)
# 设置 - 止损价
sl_exchange_params = {
'ccy': "USDT",
'reduceOnly': True,
'tdMode': "cross",
'slOrdPx': "-1",
'slTriggerPx': stop_loss_price,
}
sl_amount = common.multiply(stop_loss_price, sell_num)
# 解决平仓时,未全部平仓
sl_amount = common.addition(sl_amount, 0.1)
common.writeLogEx('止损总价值:' + str(sl_amount), symbol)
common.writeLogEx('止损参数:' + json.dumps([symbol, 'limit', 'buy', float(
sl_amount), stop_loss_price, sl_exchange_params]), symbol)
sl_cond_data = exchange.create_order(
symbol, 'limit', 'buy', sl_amount, stop_loss_price, sl_exchange_params)
common.writeLogEx('止损价数据:', symbol)
common.writeLogEx(json.dumps(sl_cond_data), symbol)
tp_exchange_params = {
'ccy': "USDT",
'reduceOnly': True,
'tdMode': "cross",
'tpOrdPx': "-1",
'tpTriggerPx': closing_price,
}
# 设置 -止盈价
tp_amount = common.multiply(closing_price, sell_num)
# 解决平仓时,未全部平仓
tp_amount = common.addition(tp_amount, 0.1)
common.writeLogEx('止盈总价值:' + str(tp_amount), symbol)
common.writeLogEx('止盈参数:' + json.dumps([symbol, 'limit', 'buy', float(
tp_amount), closing_price, tp_exchange_params]), symbol)
tp_cond_data = exchange.create_order(
symbol, 'limit', 'buy', tp_amount, closing_price, tp_exchange_params)
common.writeLogEx('止盈价数据:', symbol)
common.writeLogEx(json.dumps(tp_cond_data), symbol)
common.writeLogEx('------做空 end----------------------------------', symbol)
return True, open_price, closing_price
def onSellOrder(symbol, stop_loss_price, profit=0.005, timeframe='15m'):
# 做空开仓
# profit 百分比
try:
return onSellOrderTry(symbol, stop_loss_price, profit, timeframe)
except Exception as e:
common.writeLogErrorEx(mw.getTracebackInfo(), symbol)
return False, 0, 0
def getOnlineData(symbol, input_tf="15m", limit=230):
bars = exchange.fetch_ohlcv(symbol, timeframe=input_tf, limit=limit)
df = pd.DataFrame(bars[:], columns=['timestamp',
'open', 'high', 'low', 'close', 'volume'])
df['dt'] = pd.to_datetime(df['timestamp'], unit='ms')
df.set_index('dt', inplace=True)
df.index = df.index.tz_localize('UTC').tz_convert('Asia/Shanghai')
return df
def isKdj(last, last_pre):
# 判断是否是金叉
if (float(last_pre['macd']) < 0) and (float(last['macd']) > 0):
return True
return False
def isDeadFork(last, last_pre):
# 判断是否是死叉
if (float(last_pre['macd']) > 0) and (float(last['macd']) < 0):
return True
return False
def getMACD(df, lenght=-60):
if len(df['close'].values) < 100:
return False, None
close_p = df['close'].values
df['dif'], df['dea'], df['macd'] = talib.MACD(close_p,
fastperiod=12,
slowperiod=26,
signalperiod=9)
return df[lenght:]
def getEMA(df):
close_p = df['close'].values
df['ema'] = talib.EMA(np.array(close_p), timeperiod=200)
return df
def doneMacd(data, tag, timeframe):
data = getEMA(data)
ma_data = getMACD(data)
# alen = len(data)
# print(ma_data)
t_data = ma_data.tail(3)
print(t_data)
last_pre = t_data.iloc[0]
last = t_data.iloc[1]
print(last)
# print(last.index)
# print('close:', last['close'], 'ema:', last['ema'])
obj = common.MsgTpl()
symbol = tag.upper() + '/USDT'
obj.setName(symbol)
obj.setStrategyName("MACD检查")
obj.setTimeFrame(timeframe)
obj.setOpenTime(last['timestamp'] / 1000)
now_data = t_data.iloc[2]
# print('now_data:', now_data)
# msg = obj.toText()
# print(msg)
if isKdj(last, last_pre) and last['close'] > last['ema']:
# if isKdj(last, last_pre):
# closing_price = common.calc_ClosingPrice(
# now_data['close'], last_pre['low'], 'buy')
# # print('closing_price:', closing_price)
# 做多止损点
stop_loss_price = last_pre['low']
buy_status, open_price, closing_price = onBuyOrder(
symbol, stop_loss_price, 0.005, timeframe)
if buy_status:
obj.setStrategicDt('buy')
# 做多止损点
obj.setStopLossPrice(str(stop_loss_price))
obj.setOpenPrice(str(open_price))
obj.setClosingPrice(str(closing_price))
obj.setContent("检查到金叉状态")
msg = obj.toText()
print(msg)
common.notifyMsg(msg, timeframe, tag)
common.writeLog(msg)
if isDeadFork(last, last_pre) and last['close'] < last['ema']:
# if isDeadFork(last, last_pre):
# closing_price = common.calc_ClosingPrice(
# now_data['close'], last_pre['high'], 'sell')
# 做空止损点
stop_loss_price = last_pre['high']
sell_status, open_price, closing_price = onSellOrder(
symbol, stop_loss_price, 0.005, timeframe)
if sell_status:
obj.setStopLossPrice(str(stop_loss_price))
obj.setOpenPrice(str(open_price))
obj.setClosingPrice(str(closing_price))
obj.setStrategicDt('sell')
obj.setContent("检查到死叉状态")
msg = obj.toText()
print(msg)
common.notifyMsg(msg, timeframe, tag)
common.writeLog(msg)
def mainProcess(tag, timeframe='15m'):
symbol = tag.upper() + '/USDT'
data = getOnlineData(symbol, timeframe)
doneMacd(data, tag, timeframe)
def foreachList():
tag_list = ['btc']
for tag in tag_list:
mainProcess(tag, '15m')
time.sleep(1)
def longRun():
while True:
foreachList()
time.sleep(3)
def debug():
while True:
mainProcess('xrp', '1m')
time.sleep(3)
if __name__ == "__main__":
func = sys.argv[1]
if func == 'long':
longRun()
elif func == 'run':
debug()
else:
print('error')

@ -0,0 +1,138 @@
import ccxt
import talib
import sys
import os
import time
import pandas as pd
import pandas_ta as ta
from pprint import pprint
sys.path.append(os.getcwd() + "/plugins/cryptocurrency_trade/strategy")
import common
# cd /www/server/mdserver-web && source bin/activate
# python3 plugins/cryptocurrency_trade/ccxt/strategy/hammer_robot.py run
pd.set_option('display.max_rows', None)
exchange = common.initEx()
exchange.load_markets()
entry_rsi = 30
exit_rsi = 40
symbol = 'XRP/USDT'
timeframe = '15m'
tf_mult = exchange.parse_timeframe(timeframe) * 1000
def indicators(data):
data['rsi'] = data.ta.rsi(length=10)
data['ema'] = data.ta.ema(length=200)
# close_p = data['close'].values
# data['rsi'] = talib.RSI(close_p, timeperiod=10)
# data['ema'] = talib.EMA(close_p, timeperiod=200)
return data
def check_buy_sell_signals(df):
last_row_index = len(df.index) - 1
lastest_rsi = round(df['rsi'].iloc[-1], 2)
lastest_price = round(df['close'].iloc[-1], 5)
lastest_ema = round(df['ema'].iloc[-1], 5)
lastest_ts = df['timestamp'].iloc[-1]
msg = "lastest_rsi:" + str(lastest_rsi) + " < entry_rsi:" + str(entry_rsi)
msg += ",lastest_price:" + \
str(lastest_price) + " > lastest_ema:" + str(lastest_ema)
print(msg)
long_cond = (lastest_rsi < entry_rsi) and (lastest_price > lastest_ema)
if long_cond:
print("买入")
order = exchange.create_market_buy_order(symbol, 1)
closed_orders = exchange.fetchClosedOrders(symbol, limit=2)
if len(closed_orders) > 0:
print("closed_orders:", closed_orders)
most_recent_closed_order = closed_orders[-1]
diff = lastest_ts - most_recent_closed_order['timestamp']
last_buy_signal_cnt = int(diff / tf_mult)
exit_cond = (lastest_rsi > exit_rsi) and (last_buy_signal_cnt > 10)
if exit_cond:
print("卖出")
order = exchange.create_market_sell_order(symbol, 1)
return
def get_hammer(df, lenght):
# 影线要大于body的多少倍
factor = 2
hl_range = df['high'] - df['low']
body_hi = df.apply(lambda x: max(x['close'], x['open']), axis=1)
body_lo = df.apply(lambda x: min(x['close'], x['open']), axis=1)
body = body_hi - body_lo
body_avg = ta.ema(body, lenght=lenght)
small_body = body < body_avg
# 上下影线站body的百分比
shadow_percent = 10
# 上影线
up_shadow = df['high'] - body_hi
dn_shadow = body_lo - df['low']
has_up_shadow = up_shadow > shadow_percent / 100 * body
has_dn_shadow = dn_shadow > shadow_percent / 100 * body
downtrend = df['close'] < ta.ema(df['close'], 50)
bullish_hammer = downtrend & small_body & (body > 0) & (
dn_shadow >= factor * body) & (has_up_shadow == False)
return bullish_hammer
def runBot():
bars = exchange.fetch_ohlcv(symbol, timeframe=timeframe, limit=200)
df = pd.DataFrame(bars[:], columns=['timestamp',
'open', 'high', 'low', 'close', 'volume'])
# format='%Y-%m-%d %H:%M:%S',
df['dt'] = pd.to_datetime(
df['timestamp'], unit="ms")
df['hammer'] = get_hammer(df, 10)
lastest_hammer = df.iloc[-1, -1]
lastest_price = df.iloc[-1, 0]
print("lastest_price:" + str(lastest_price))
print("lastest_hammer:" + str(lastest_hammer))
print(df.tail())
if lastest_hammer:
print("购买,做多")
notifyMsg("购买,做多")
def longRunBot():
common.notifyMsg("任务开始")
while True:
runBot()
time.sleep(10)
if __name__ == "__main__":
func = sys.argv[1]
if func == 'run':
longRunBot()
else:
print('error')

@ -0,0 +1,33 @@
[
{
"id":"01",
"name": "MACD-KDJ策略检测|1h",
"file": "macd_kdj.py"
},
{
"id":"02",
"name": "通知测试|60s",
"file": "notify_demo.py"
},
{
"id":"03",
"name": "okex|macd交易策略|15m",
"file": "online_macd_trade.py"
},
{
"id":"04",
"name": "okex|动量交易策略|5m",
"file": "momentun_trade.py"
},
{
"id":"05",
"name": "gate.io|动量交易策略|5m",
"file": "gate_100.py"
},
{
"id":"06",
"name": "仅提醒|Vega交易策略|5m",
"file": "vega_trade.py"
}
]

@ -0,0 +1,121 @@
# cd /www/server/mdserver-web && source bin/activate
# python3 plugins/cryptocurrency_trade/ccxt/strategy/macd_kdj.py run
# python3 plugins/cryptocurrency_trade/ccxt/strategy/macd_kdj.py long
import ccxt
import talib
import pandas as pd
import time
import sys
import os
from pprint import pprint
sys.path.append(os.getcwd() + "/plugins/cryptocurrency_trade/strategy")
import common
sys.path.append(os.getcwd() + "/class/core")
import mw
pd.set_option('display.max_rows', None)
# import warnings
# warnings.filterwarnings('error')
def getMACD(df, lenght=-60):
if len(df['close'].values) < 100:
return False, None
close_p = df['close'].values
df['dif'], df['dea'], df['macd'] = talib.MACD(close_p,
fastperiod=12,
slowperiod=26,
signalperiod=9)
return True, df[lenght:]
def isKdj(last, last_pre):
# 判断是否是金叉
if (float(last_pre['macd']) < 0) and (float(last['macd']) > 0):
return True
return False
def isDeadFork(last, last_pre):
# 判断是否是死叉
if (float(last_pre['macd']) > 0) and (float(last['macd']) < 0):
return True
return False
def checkData():
tag = 'btc'
tf_frame = '1h'
data = common.getDataFromDb_DF(tf_frame, tag, 300)
# print(data)
b, r = getMACD(data)
if b:
# rlen = len(r)
# r = r.copy()
# r['dt'] = pd.to_datetime(
# r['addtime'], unit='s')
# r['dt'] = r['dt'].dt.tz_convert('Asia/Shanghai')
# print(r)
rlen = len(r)
t_data = r.tail(2)
# print(r.tail(2))
last_pre = t_data.iloc[0]
last = t_data.iloc[1]
# print(last_pre)
# print(last)
# print(last_pre['addtime'])
# print(last_pre['open'])
# print(last_pre['high'])
# print(last_pre['low'])
# print(last_pre['close'])
# print(last['addtime'])
# print(last['open'])
# print(last['high'])
# print(last['low'])
# print(last['close'])
now = mw.getDateFromNow()
if isKdj(last, last_pre):
msg = now + "|{}|{}|检查到金叉状态!".format(tag, tf_frame)
common.notifyMsg(msg, tf_frame, tag)
common.writeLog(msg)
if isDeadFork(last, last_pre):
msg = now + "|{}|{}|检查到死叉状态!".format(tag, tf_frame)
common.notifyMsg(msg, tf_frame, tag)
common.writeLog(msg)
def run():
checkData()
def longRun():
while True:
checkData()
time.sleep(3)
if __name__ == "__main__":
func = sys.argv[1]
if func == 'run':
run()
elif func == 'long':
longRun()
else:
print('error')

@ -0,0 +1,505 @@
# cd /www/server/mdserver-web && source bin/activate
# python3 plugins/cryptocurrency_trade/ccxt/strategy/momentun_trade.py run
# python3 plugins/cryptocurrency_trade/ccxt/strategy/momentun_trade.py long
# 动量策略交易
import ccxt
import talib
import sys
import os
import time
import json
import pandas as pd
# import pandas_ta as ta
from pprint import pprint
import numpy as np
sys.path.append(os.getcwd() + "/plugins/cryptocurrency_trade/strategy")
import common
sys.path.append(os.getcwd() + "/class/core")
import mw
exchange = common.initEx()
exchange.load_markets()
# 默认开仓数据
# default_open_num = 70
# default_sell_num = 0.003
default_open = {
'BTC/USDT': 30,
'XRP/USDT': 30,
}
default_sell = {
'BTC/USDT': 0.001,
'XRP/USDT': 100,
}
# 做多开仓
def onBuyOrderTry(symbol, stop_loss_price, profit=0.005, timeframe='15m'):
# 信号只在一个周期内执行一次|start
lock_file = common.getServerDir() + '/signal.json'
if not os.path.exists(lock_file):
mw.writeFile(lock_file, '{}')
stype = symbol.replace('/', '_') + '_' + timeframe
trigger_time = common.toUnixTimeSecond(timeframe)
lock_data = json.loads(mw.readFile(lock_file))
if stype in lock_data:
diff_time = time.time() - lock_data[stype]['do_time']
if diff_time >= trigger_time:
lock_data[stype]['do_time'] = time.time()
else:
return False, 0, 0
else:
lock_data[stype] = {'do_time': time.time()}
mw.writeFile(lock_file, json.dumps(lock_data))
# 信号只在一个周期内执行一次|end
common.writeLogEx('------做多----------------------------------', symbol)
default_open_num = default_open[symbol]
# 做多开仓 | 市价
data = exchange.createMarketBuyOrder(
symbol, default_open_num, {"tdMode": "cross"})
common.writeLogEx('开仓数据:', symbol)
common.writeLogEx(json.dumps(data), symbol)
order_id = data['info']['ordId']
order_data = exchange.fetchOrder(order_id, symbol)
common.writeLogEx('订单数据:', symbol)
common.writeLogEx(json.dumps(order_data), symbol)
# 实际开场平均价
open_price = order_data['info']['avgPx']
# 修正小数点位数
open_price = common.roundVal(open_price, stop_loss_price)
common.writeLogEx('实际开仓价:' + str(open_price), symbol)
# 做多-止损价大于开仓价,重设止损价
if float(stop_loss_price) <= float(open_price):
stop_loss_price = float(open_price) * float((1 - 0.003))
# property_val = float(order_data['info']['accFillSz']) + float(order_data['info']['fee'])
property_val = common.addition(order_data['info'][
'accFillSz'], order_data['info']['fee'])
property_val = float(property_val)
# 可平仓的数量
# property_val = common.roundValCeil(
# property_val, order_data['info']['accFillSz'])
common.writeLogEx('可平仓资产:' + str(property_val), symbol)
# 止盈价
diff = float(open_price) - float(stop_loss_price)
closing_price = float(open_price) + (diff * 1.5)
# closing_price = float(open_price) * float((1 + profit))
# # 选择盈利多的
# if closing_price_c > closing_price:
# closing_price = closing_price_c
closing_price = common.roundVal(closing_price, open_price)
stop_loss_price = common.roundVal(stop_loss_price, open_price)
common.writeLogEx('止盈价:' + str(closing_price), symbol)
common.writeLogEx('止损价:' + str(stop_loss_price), symbol)
# 设置 - 止损价/止盈价
sl_exchange_params = {
'ccy': "USDT",
'reduceOnly': True,
'tdMode': "cross",
'slOrdPx': "-1",
'slTriggerPx': stop_loss_price,
}
# 止损条件单
common.writeLogEx('止损参数:' + json.dumps([symbol, 'limit', 'sell',
property_val, stop_loss_price, sl_exchange_params]), symbol)
sl_cond_data = exchange.create_order(
symbol, 'limit', 'sell', property_val, stop_loss_price, sl_exchange_params)
common.writeLogEx('止损价数据:', symbol)
common.writeLogEx(json.dumps(sl_cond_data), symbol)
# 止赢条件单
tp_exchange_params = {
'ccy': "USDT",
'reduceOnly': True,
'tdMode': "cross",
'tpOrdPx': "-1",
'tpTriggerPx': closing_price,
}
common.writeLogEx('止盈参数:' + json.dumps([symbol, 'limit', 'sell',
property_val, closing_price, tp_exchange_params]), symbol)
tp_cond_data = exchange.create_order(
symbol, 'limit', 'sell', property_val, closing_price, tp_exchange_params)
common.writeLogEx('止盈数据:', symbol)
common.writeLogEx(json.dumps(tp_cond_data), symbol)
common.writeLogEx('------做多 end----------------------------------', symbol)
return True, open_price, closing_price
def onBuyOrder(symbol, stop_loss_price, profit=0.005, timeframe='15m'):
# 做多开仓
# profit 百分比
try:
return onBuyOrderTry(symbol, stop_loss_price, profit, timeframe)
except Exception as e:
common.writeLogErrorEx(mw.getTracebackInfo(), symbol)
return False, 0, 0
def onSellOrderTry(symbol, stop_loss_price, profit=0.005, timeframe='15m'):
# 信号只在一个周期内执行一次|start
lock_file = common.getServerDir() + '/signal.json'
if not os.path.exists(lock_file):
mw.writeFile(lock_file, '{}')
stype = symbol.replace('/', '_') + '_' + timeframe
trigger_time = common.toUnixTimeSecond(timeframe)
lock_data = json.loads(mw.readFile(lock_file))
if stype in lock_data:
diff_time = time.time() - lock_data[stype]['do_time']
if diff_time >= trigger_time:
lock_data[stype]['do_time'] = time.time()
else:
return False, 0, 0
else:
lock_data[stype] = {'do_time': time.time()}
mw.writeFile(lock_file, json.dumps(lock_data))
# 信号只在一个周期内执行一次|end
common.writeLogEx('------做空----------------------------------', symbol)
# 计算借币卖币多多少,以USDT为基准
# sell_num = float(default_open_num) / float(stop_loss_price)
# sell_num = round(sell_num, 8)
# sell_num = default_sell_num
sell_num = default_sell[symbol]
# 做空开仓 | 市价
data = exchange.createMarketSellOrder(
symbol, sell_num, {"tdMode": "cross", 'ccy': "USDT"})
common.writeLogEx('开仓数据:', symbol)
common.writeLogEx(json.dumps(data), symbol)
order_id = data['info']['ordId']
order_data = exchange.fetchOrder(order_id, symbol)
common.writeLogEx('订单数据:', symbol)
common.writeLogEx(json.dumps(order_data), symbol)
# 实际开场平均价
open_price = order_data['info']['avgPx']
# 修正
open_price = common.roundVal(open_price, stop_loss_price)
common.writeLogEx('实际开仓价:' + str(open_price), symbol)
common.writeLogEx('可平仓资产:' + str(sell_num), symbol)
# 做空-止损价小于开仓价,重设止损价
if float(stop_loss_price) <= float(open_price):
stop_loss_price = float(open_price) * float((1 + 0.003))
# 止盈价
diff = float(stop_loss_price) - float(open_price)
closing_price = float(open_price) - (diff * 1.5)
# closing_price = float(open_price) * float((1 - profit))
# 选择盈利多的
# if closing_price_c < closing_price:
# closing_price = closing_price_c
closing_price = common.roundVal(closing_price, open_price)
stop_loss_price = common.roundVal(stop_loss_price, open_price)
common.writeLogEx('止盈价:' + str(closing_price), symbol)
common.writeLogEx('止损价:' + str(stop_loss_price), symbol)
# 设置 - 止损价
sl_exchange_params = {
'ccy': "USDT",
'reduceOnly': True,
'tdMode': "cross",
'slOrdPx': "-1",
'slTriggerPx': stop_loss_price,
}
sl_amount = common.multiply(stop_loss_price, sell_num)
# 解决平仓时,未全部平仓
sl_amount = common.addition(sl_amount, 0.1)
common.writeLogEx('止损总价值:' + str(sl_amount), symbol)
common.writeLogEx('止损参数:' + json.dumps([symbol, 'limit', 'buy', float(
sl_amount), stop_loss_price, sl_exchange_params]), symbol)
sl_cond_data = exchange.create_order(
symbol, 'limit', 'buy', float(sl_amount), stop_loss_price, sl_exchange_params)
common.writeLogEx('止损价数据:', symbol)
common.writeLogEx(json.dumps(sl_cond_data), symbol)
tp_exchange_params = {
'ccy': "USDT",
'reduceOnly': True,
'tdMode': "cross",
'tpOrdPx': "-1",
'tpTriggerPx': closing_price,
}
# 设置 -止盈价
# tp_amount = closing_price * sell_num
tp_amount = common.multiply(closing_price, sell_num)
# 解决平仓时,未全部平仓
tp_amount = common.addition(tp_amount, 0.1)
common.writeLogEx('止盈总价值:' + str(tp_amount), symbol)
common.writeLogEx('止盈参数:' + json.dumps([symbol, 'limit', 'buy', float(
tp_amount), closing_price, tp_exchange_params]), symbol)
tp_cond_data = exchange.create_order(
symbol, 'limit', 'buy', float(tp_amount), closing_price, tp_exchange_params)
common.writeLogEx('止盈价数据:', symbol)
common.writeLogEx(json.dumps(tp_cond_data), symbol)
common.writeLogEx('------做空 end----------------------------------', symbol)
return True, open_price, closing_price
def onSellOrder(symbol, stop_loss_price, profit=0.005, timeframe='15m'):
# 做空开仓
# profit 百分比
try:
return onSellOrderTry(symbol, stop_loss_price, profit, timeframe)
except Exception as e:
common.writeLogErrorEx(mw.getTracebackInfo(), symbol)
return False, 0, 0
def getOnlineData(symbol, input_tf="15m", limit=230):
bars = exchange.fetch_ohlcv(symbol, timeframe=input_tf, limit=limit)
df = pd.DataFrame(bars[:], columns=['timestamp',
'open', 'high', 'low', 'close', 'volume'])
df['dt'] = pd.to_datetime(df['timestamp'], unit='ms')
df.set_index('dt', inplace=True)
df.index = df.index.tz_localize('UTC').tz_convert('Asia/Shanghai')
return df
def isKdj(last, last_pre):
# 判断是否是金叉
if (float(last_pre['macd']) < 0) and (float(last['macd']) > 0):
return True
return False
def isDeadFork(last, last_pre):
# 判断是否是死叉
if (float(last_pre['macd']) > 0) and (float(last['macd']) < 0):
return True
return False
def getMACD(df, lenght=-60):
if len(df['close'].values) < 100:
return False, None
close_p = df['close'].values
df['dif'], df['dea'], df['macd'] = talib.MACD(close_p,
fastperiod=12,
slowperiod=26,
signalperiod=9)
return df[lenght:]
def getTarget(df):
close = df['close'].values
df['ema'] = talib.EMA(np.array(close), timeperiod=10)
df['ema_200'] = talib.EMA(np.array(close), timeperiod=200)
df['ma'] = talib.MA(close, timeperiod=10)
df['rsi'] = talib.RSI(close, timeperiod=14)
return df
# 多头信号
def isBuyCrondSignal(last):
if last['ema'] > last['ma'] and (last['rsi'] > 50 and last['rsi'] < 70) and last['low'] >= last['ma'] and last['close'] > last['open']:
return True
return False
def isBuyFristSignal(data):
data = data.sort_values(by=['timestamp'], ascending=False)
# print(data)
data_len = len(data)
signal_num = 0
first_data = data.iloc[1]
# print(1, first_data['close'], first_data['ema'])
is_buy_signal = isBuyCrondSignal(first_data)
for x in range(2, data_len):
tmp = data.iloc[x]
# print(data.iloc[x])
# print(x, tmp['close'], tmp['ema'])
if isBuyCrondSignal(tmp):
signal_num = + 1
# print('signal_num:', signal_num)
if (tmp['ema'] < tmp['ma']):
break
if str(tmp['ema']) == 'nan':
break
print("is_buy_signal:", is_buy_signal, 'signal_num:', signal_num)
if is_buy_signal and signal_num == 0:
return True
return False
# 空头信号
def isSellCrondSignal(last):
if last['ema'] < last['ma'] and (last['rsi'] > 30 and last['rsi'] < 50) and last['high'] <= last['ema'] and last['close'] < last['open']:
return True
return False
def isSellFristSignal(data):
data = data.sort_values(by=['timestamp'], ascending=False)
# print(data)
data_len = len(data)
signal_num = 0
first_data = data.iloc[1]
# print(1, first_data['close'], first_data['ema'])
is_sell_signal = isSellCrondSignal(first_data)
for x in range(2, data_len):
tmp = data.iloc[x]
# print(data.iloc[x])
# print(x, tmp['close'], tmp['ema'])
if isSellCrondSignal(tmp):
signal_num = + 1
# print('signal_num:', signal_num)
if (tmp['ema'] < tmp['ma']):
break
if str(tmp['ema']) == 'nan':
break
print("is_sell_signal:", is_sell_signal, 'signal_num:', signal_num)
if is_sell_signal and signal_num == 0:
return True
return False
def monentunTrade(data, tag, timeframe):
data = getTarget(data)
# print(data)
key_data = data.tail(3)
print(key_data)
last_pre = key_data.iloc[0]
last = key_data.iloc[1]
obj = common.MsgTpl()
symbol = tag.upper() + '/USDT'
obj.setName(symbol)
obj.setStrategyName("动量交易策略")
obj.setTimeFrame(timeframe)
obj.setOpenTime(last['timestamp'] / 1000)
# 买入信号,并且收盘价要大于200 ema
if isBuyFristSignal(data) and last['close'] > last['ema_200']:
obj.setStrategicDt('buy')
# 做多止损点
stop_loss_price = last['ma']
stop_loss_price = common.roundVal(stop_loss_price, last['open'])
buy_status, open_price, closing_price = onBuyOrder(
symbol, stop_loss_price, 0.005, timeframe)
if buy_status:
# 做多止损点
obj.setStopLossPrice(str(stop_loss_price))
obj.setOpenPrice(str(open_price))
obj.setClosingPrice(str(closing_price))
obj.setContent("动量交易策略做多!")
msg = obj.toText()
print(msg)
common.notifyMsg(msg, timeframe, tag)
common.writeLog(msg)
# 卖出信号,并且收盘价要小于200 ema
# if isSellFristSignal(data) and last['close'] < last['ema_200']:
# obj.setStrategicDt('sell')
# stop_loss_price = last['ma']
# stop_loss_price = common.roundVal(stop_loss_price, last['open'])
# sell_status, open_price, closing_price = onSellOrder(
# symbol, stop_loss_price, 0.005, timeframe)
# if sell_status:
# obj.setStopLossPrice(str(stop_loss_price))
# obj.setOpenPrice(str(open_price))
# obj.setClosingPrice(str(closing_price))
# obj.setStrategicDt('sell')
# obj.setContent("动量交易策略作空!")
# msg = obj.toText()
# print(msg)
# common.notifyMsg(msg, timeframe, tag)
# common.writeLog(msg)
def mainProcess(tag, timeframe='15m'):
symbol = tag.upper() + '/USDT'
data = getOnlineData(symbol, timeframe)
monentunTrade(data, tag, timeframe)
def foreachList():
tag_list = ['btc', 'xrp']
for tag in tag_list:
mainProcess(tag, '15m')
time.sleep(1)
def longRun():
while True:
foreachList()
time.sleep(1)
def debug():
while True:
mainProcess('btc', '5m')
time.sleep(1)
if __name__ == "__main__":
func = sys.argv[1]
if func == 'long':
longRun()
elif func == 'run':
debug()
else:
print('error')

@ -0,0 +1,48 @@
# cd /www/server/mdserver-web && source bin/activate
# python3 plugins/cryptocurrency_trade/ccxt/strategy/notify_demo.py run
# python3 plugins/cryptocurrency_trade/ccxt/strategy/notify_demo.py long
import ccxt
import talib
import pandas as pd
import time
import sys
import os
from pprint import pprint
sys.path.append(os.getcwd() + "/plugins/cryptocurrency_trade/strategy")
import common
sys.path.append(os.getcwd() + "/class/core")
import mw
def run():
print('debug')
def longRun():
while True:
obj = common.MsgTpl()
obj.setName("通知测试")
obj.setStrategyName("")
obj.setTimeFrame("1m")
obj.setContent("60s通知测试")
msg = obj.toText()
print(msg)
common.notifyMsg(msg, '1m', 'debug')
common.writeLog(msg)
time.sleep(3)
if __name__ == "__main__":
func = sys.argv[1]
if func == 'run':
run()
if func == 'long':
longRun()
else:
print('error')

@ -0,0 +1,294 @@
# cd /www/server/mdserver-web && source bin/activate
# python3 plugins/cryptocurrency_trade/ccxt/strategy/on_g_test.py t_buy_open
# python3 plugins/cryptocurrency_trade/ccxt/strategy/on_g_test.py t_buy_close
# python3 plugins/cryptocurrency_trade/ccxt/strategy/on_g_test.py t_sell_open
# python3 plugins/cryptocurrency_trade/ccxt/strategy/on_g_test.py t_sell_cloe
# 获取仓位数据
# python3 plugins/cryptocurrency_trade/ccxt/strategy/on_g_test.py t_get_trade
# API地址
# https://www.gate.io/docs/developers/apiv4/zh_CN/#api
import ccxt
import talib
import sys
import os
import time
import pandas as pd
# import pandas_ta as ta
from pprint import pprint
import numpy as np
sys.path.append(os.getcwd() + "/plugins/cryptocurrency_trade/strategy")
import common
sys.path.append(os.getcwd() + "/class/core")
import mw
exchange = ccxt.gate({
"apiKey": '756e1ff80526cb0ac9620c75680fc506',
"secret": '95ac89362056bcf12ce37aabff6eb7ec78185483105f39b4a35e8dc8db8b4d3c',
})
exchange.load_markets()
def t_get_trade():
data = exchange.fetchPositions()
print(data)
def btc_test():
closing_price = 24599.9
stop_loss_price = 24740.4
# ---------------------------
stop_loss_args = {
'ccy': "USDT",
'reduceOnly': True,
'tdMode': "cross",
'slOrdPx': "-1",
'slTriggerPx': stop_loss_price,
}
print('---------止损价 执行 START ----------------------------------')
sl_amount = stop_loss_price * 0.001
print(amount)
data = exchange.create_order(
'BTC/USDT', 'limit', 'buy', sl_amount, stop_loss_price, stop_loss_args)
print(data)
print('---------止损价 执行 END ----------------------------------')
print('---------止盈价 执行 START ----------------------------------')
closing_price_args = {
'ccy': "USDT",
'reduceOnly': True,
'tdMode': "cross",
'tpOrdPx': "-1",
'tpTriggerPx': closing_price,
}
cp_amount = closing_price * 0.001
print(amount)
data = exchange.create_order(
'BTC/USDT', 'limit', 'buy', cp_amount, closing_price, closing_price_args)
print(data)
print('---------止盈价 执行 END ----------------------------------')
def testK_buy_open_sz():
# 做多开仓
data = exchange.fetchTicker('BTC/USDT')
print(data)
# data = exchange.createMarketBuyOrder('DOT/USDT', 1, {"tdMode": "cross"})
# print(data)
# print(type(data))
def testK_buy_open():
# 做多开仓
# print(dir(exchange))
# exchange['options']['createMarketBuyOrderRequiresPrice'] = False
data = exchange.fetch_ticker('BTC/USDT')
print("now price:", data['ask'])
amount = 0.001
price = data['ask']
cost = amount * float(price)
print('total price:', cost)
print('amount price:', amount)
# a_amount = round(amount / data['ask'], 5)
# print('amount :', amount)
# print('amount :', str(amount))
#
data = exchange.createOrder(
"BTC/USDT", type="limit", side="buy", amount=amount, price=price, params={'account': "cross_margin"})
# data = exchange.createMarketBuyOrder('BTC/USDT', amount)
print(data)
print(type(data))
# 数据
# {'info': {'clOrdId': 'e847386590ce4dBC58e8b0afb0fe70cc', 'ordId': '554437054223302656', 'sCode': '0', 'sMsg': 'Order placed', 'tag': 'e847386590ce4dBC'}, 'id': '554437054223302656', 'clientOrderId': 'e847386590ce4dBC58e8b0afb0fe70cc', 'timestamp': None, 'datetime': None, 'lastTradeTimestamp': None, 'symbol': 'DOT/USDT', 'type': 'market', 'timeInForce': None, 'postOnly': None, 'side': 'buy', 'price': None, 'stopPrice': None, 'triggerPrice': None, 'average': None, 'cost': None, 'amount': None, 'filled': None, 'remaining': None, 'status': None, 'fee': None, 'trades': [], 'reduceOnly': None, 'fees': []}
# 查询委托单
# order_id = data['info']['ordId']
# order_id = '554437054223302656'
# data = exchange.fetchOrder(order_id, 'BTC/USDT')
# print(data['info'])
# {'info': {'accFillSz': '0.190548', 'algoClOrdId': '', 'algoId': '', 'avgPx': '5.248', 'cTime': '1678441709955', 'cancelSource': '', 'cancelSourceReason': '', 'category': 'normal', 'ccy': 'USDT', 'clOrdId': 'e847386590ce4dBCeaddfd1494dc7080', 'fee': '-0.000190548', 'feeCcy': 'DOT', 'fillPx': '5.248', 'fillSz': '0.190548', 'fillTime': '1678441709957', 'instId': 'DOT-USDT', 'instType': 'MARGIN', 'lever': '10', 'ordId': '554359943143833600', 'ordType': 'market', 'pnl': '0', 'posSide': 'net', 'px': '', 'quickMgnType': '', 'rebate': '0', 'rebateCcy': 'USDT', 'reduceOnly': 'false', 'side': 'buy', 'slOrdPx': '', 'slTriggerPx': '', 'slTriggerPxType': '', 'source': '', 'state': 'filled', 'sz': '1', 'tag': 'e847386590ce4dBC', 'tdMode': 'cross', 'tgtCcy': '', 'tpOrdPx': '', 'tpTriggerPx': '', 'tpTriggerPxType': '', 'tradeId': '81184616', 'uTime': '1678441709960'}, 'id': '554359943143833600', 'clientOrderId': 'e847386590ce4dBCeaddfd1494dc7080', 'timestamp': 1678441709955, 'datetime': '2023-03-10T09:48:29.955Z', 'lastTradeTimestamp': 1678441709957, 'symbol': 'DOT/USDT', 'type': 'market', 'timeInForce': 'IOC', 'postOnly': None, 'side': 'buy', 'price': 5.248, 'stopPrice': None, 'triggerPrice': None, 'average': 5.248, 'cost': 0.999995904, 'amount': 1.0, 'filled': 0.190548, 'remaining': 0.809452, 'status': 'closed', 'fee': {'cost': 0.000190548, 'currency': 'DOT'}, 'trades': [], 'reduceOnly': False, 'fees': [{'cost': 0.000190548, 'currency': 'DOT'}]}
# open_price = data['info']['avgPx']
# print("开仓平均价", open_price)
# # 止盈价
# closing_price = float(open_price) * float((1 + 0.005))
# closing_price = common.roundVal(closing_price, open_price)
# print("止盈价", closing_price)
# # 止损价
# stop_loss_price = float(open_price) * float((1 - 0.01))
# stop_loss_price = common.roundVal(stop_loss_price, open_price)
# print("止损价", stop_loss_price)
# property_val = float(data['info']['accFillSz']) + \
# float(data['info']['fee'])
# # 相同位数
# property_val = common.roundValCeil(property_val, data['info']['accFillSz'])
# print("可平仓资产", property_val)
# closed_orders = exchange.fetchClosedOrders('DOT/USDT', limit=2)
# print('closed_orders', closed_orders)
# print(exchange.fetchBalance())
# 可以用,限价单
# time.sleep(1)
# data = exchange.createLimitSellOrder(
# 'DOT/USDT', property_val, closing_price, {"tdMode": "cross", 'ccy': 'USDT', "reduceOnly": True})
# print(data)
# print(type(data))
# 止损价
# 止盈价
# exchange_params = {
# 'ccy': "USDT",
# 'reduceOnly': True,
# 'tdMode': "cross",
# 'tpOrdPx': "-1",
# 'tpTriggerPx': closing_price,
# 'slOrdPx': "-1",
# 'slTriggerPx': stop_loss_price,
# }
# print('---------止损价 执行----------------------------------')
# data = exchange.create_order(
# 'BTC/USDT', 'limit', 'sell', property_val, closing_price, exchange_params)
# print(data)
# print(type(data))
# print('---------止盈价 执行----------------------------------')
# exchange_params = {
# 'stopPrice': closing_price,
# 'type': 'stopLimit',
# }
# data = exchange.create_order(
# 'DOT/USDT', 'limit', 'sell', property_val, closing_price, exchange_params)
# print(data)
# print(type(data))
def testK_buy_close():
# 平多
data = exchange.create_limit_buy_order(
'DOT/USDT', 1, 5, {"tdMode": "cross"})
print(data)
print(type(data))
# closed_orders = exchange.fetchClosedOrders('BTC/USDT', limit=2)
# print(closed_orders)
# closed_orders = exchange.fetchMyTrades('ETH/USDT', limit=2)
# print(closed_orders)
def testK_sell_open():
# 做空开仓
# data = exchange.createMarketSellOrder(
# 'DOT/USDT', 1, {"tdMode": "cross", 'ccy': "USDT", })
# print(data)
# print(type(data))
# 数据
# {'info': {'clOrdId': 'e847386590ce4dBC58e8b0afb0fe70cc', 'ordId': '554437054223302656', 'sCode': '0', 'sMsg': 'Order placed', 'tag': 'e847386590ce4dBC'}, 'id': '554437054223302656', 'clientOrderId': 'e847386590ce4dBC58e8b0afb0fe70cc', 'timestamp': None, 'datetime': None, 'lastTradeTimestamp': None, 'symbol': 'DOT/USDT', 'type': 'market', 'timeInForce': None, 'postOnly': None, 'side': 'buy', 'price': None, 'stopPrice': None, 'triggerPrice': None, 'average': None, 'cost': None, 'amount': None, 'filled': None, 'remaining': None, 'status': None, 'fee': None, 'trades': [], 'reduceOnly': None, 'fees': []}
# # 查询委托单
# order_id = data['info']['ordId']
order_id = '554516809819832320'
data = exchange.fetchOrder(order_id, 'DOT/USDT')
print(data['info'])
# {'info': {'accFillSz': '0.190548', 'algoClOrdId': '', 'algoId': '', 'avgPx': '5.248', 'cTime': '1678441709955', 'cancelSource': '', 'cancelSourceReason': '', 'category': 'normal', 'ccy': 'USDT', 'clOrdId': 'e847386590ce4dBCeaddfd1494dc7080', 'fee': '-0.000190548', 'feeCcy': 'DOT', 'fillPx': '5.248', 'fillSz': '0.190548', 'fillTime': '1678441709957', 'instId': 'DOT-USDT', 'instType': 'MARGIN', 'lever': '10', 'ordId': '554359943143833600', 'ordType': 'market', 'pnl': '0', 'posSide': 'net', 'px': '', 'quickMgnType': '', 'rebate': '0', 'rebateCcy': 'USDT', 'reduceOnly': 'false', 'side': 'buy', 'slOrdPx': '', 'slTriggerPx': '', 'slTriggerPxType': '', 'source': '', 'state': 'filled', 'sz': '1', 'tag': 'e847386590ce4dBC', 'tdMode': 'cross', 'tgtCcy': '', 'tpOrdPx': '', 'tpTriggerPx': '', 'tpTriggerPxType': '', 'tradeId': '81184616', 'uTime': '1678441709960'}, 'id': '554359943143833600', 'clientOrderId': 'e847386590ce4dBCeaddfd1494dc7080', 'timestamp': 1678441709955, 'datetime': '2023-03-10T09:48:29.955Z', 'lastTradeTimestamp': 1678441709957, 'symbol': 'DOT/USDT', 'type': 'market', 'timeInForce': 'IOC', 'postOnly': None, 'side': 'buy', 'price': 5.248, 'stopPrice': None, 'triggerPrice': None, 'average': 5.248, 'cost': 0.999995904, 'amount': 1.0, 'filled': 0.190548, 'remaining': 0.809452, 'status': 'closed', 'fee': {'cost': 0.000190548, 'currency': 'DOT'}, 'trades': [], 'reduceOnly': False, 'fees': [{'cost': 0.000190548, 'currency': 'DOT'}]}
open_price = data['info']['avgPx']
print("开仓平均价", open_price)
# 止盈价
closing_price = float(open_price) * float((1 - 0.005))
closing_price = common.roundVal(closing_price, open_price)
print("止盈价", closing_price)
# 止损价
stop_loss_price = float(open_price) * float((1 + 0.01))
stop_loss_price = common.roundVal(stop_loss_price, open_price)
print("止损价", stop_loss_price)
property_val = float(data['info']['accFillSz'])
# 相同位数
print("可平仓资产", property_val)
# 止损价
# 止盈价
exchange_params = {
'ccy': "USDT",
'reduceOnly': True,
'tdMode': "cross",
'tpOrdPx': "-1",
'tpTriggerPx': closing_price,
'slOrdPx': "-1",
'slTriggerPx': stop_loss_price,
}
print('---------止损价 执行----------------------------------')
data = exchange.create_order(
'DOT/USDT', 'limit', 'buy', property_val, closing_price, exchange_params)
print(data)
print(type(data))
def testK_sell_close():
# 平多
data = exchange.create_limit_buy_order(
'DOT/USDT', 1, 5, {"tdMode": "cross"})
print(data)
print(type(data))
# closed_orders = exchange.fetchClosedOrders('BTC/USDT', limit=2)
# print(closed_orders)
# closed_orders = exchange.fetchMyTrades('ETH/USDT', limit=2)
# print(closed_orders)
if __name__ == "__main__":
func = sys.argv[1]
if func == 'long':
longRun()
elif func == 'run':
debug()
elif func == 'test':
testKdan()
elif func == 't_get_trade':
t_get_trade()
elif func == 't_buy_open':
testK_buy_open()
elif func == 't_buy_close':
testK_buy_close()
elif func == 't_sell_open':
testK_sell_open()
elif func == 't_sell_cloe':
testK_sell_close()
else:
print('error')

@ -0,0 +1,437 @@
# cd /www/server/mdserver-web && source bin/activate
# python3 plugins/cryptocurrency_trade/ccxt/strategy/online_macd_trade.py run
# python3 plugins/cryptocurrency_trade/ccxt/strategy/online_macd_trade.py long
import ccxt
import talib
import sys
import os
import time
import json
import pandas as pd
# import pandas_ta as ta
from pprint import pprint
import numpy as np
sys.path.append(os.getcwd() + "/plugins/cryptocurrency_trade/strategy")
import common
sys.path.append(os.getcwd() + "/class/core")
import mw
exchange = common.initEx()
exchange.load_markets()
# 默认开仓数据
# default_open_num = 10
default_open = {
'ETH/USDT': 30,
'DOT/USDT': 30,
'CEL/USDT': 30,
}
default_sell = {
'ETH/USDT': 0.02,
'DOT/USDT': 5,
'CEL/USDT': 85,
}
# 做多开仓
def onBuyOrderTry(symbol, stop_loss_price, profit=0.005, timeframe='15m'):
# 信号只在一个周期内执行一次|start
lock_file = common.getServerDir() + '/signal.json'
if not os.path.exists(lock_file):
mw.writeFile(lock_file, '{}')
stype = symbol.replace('/', '_') + '_' + timeframe
trigger_time = common.toUnixTimeSecond(timeframe)
lock_data = json.loads(mw.readFile(lock_file))
if stype in lock_data:
diff_time = time.time() - lock_data[stype]['do_time']
if diff_time >= trigger_time:
lock_data[stype]['do_time'] = time.time()
else:
return False, 0, 0
else:
lock_data[stype] = {'do_time': time.time()}
mw.writeFile(lock_file, json.dumps(lock_data))
# 信号只在一个周期内执行一次|end
common.writeLogEx('------做多----------------------------------', symbol)
default_open_num = default_open[symbol]
# 做多开仓 | 市价
data = exchange.createMarketBuyOrder(
symbol, default_open_num, {"tdMode": "cross"})
common.writeLogEx('开仓数据:', symbol)
common.writeLogEx(json.dumps(data), symbol)
order_id = data['info']['ordId']
order_data = exchange.fetchOrder(order_id, symbol)
common.writeLogEx('订单数据:', symbol)
common.writeLogEx(json.dumps(order_data), symbol)
# 实际开场平均价
open_price = order_data['info']['avgPx']
# 做多-止损价大于开仓价,重设止损价
if float(stop_loss_price) <= float(open_price):
stop_loss_price = float(open_price) * float((1 - 0.003))
# property_val = float(order_data['info']['accFillSz']) + float(order_data['info']['fee'])
property_val = common.addition(
order_data['info']['accFillSz'], order_data['info']['fee'])
property_val = float(property_val)
# 可平仓的数量
property_val = common.roundValCeil(
property_val, order_data['info']['accFillSz'])
common.writeLogEx('可平仓资产:' + str(property_val), symbol)
# 止盈价
diff = float(open_price) - float(stop_loss_price)
closing_price_c = float(open_price) + (diff * 2)
closing_price = float(open_price) * float((1 + profit))
# 选择盈利多的
if closing_price_c > closing_price:
closing_price = closing_price_c
closing_price = common.roundVal(closing_price, stop_loss_price)
# stop_loss_price = common.roundVal(stop_loss_price, open_price)
common.writeLogEx('实际开仓价:' + str(open_price), symbol)
common.writeLogEx('止盈价:' + str(closing_price), symbol)
common.writeLogEx('止损价:' + str(stop_loss_price), symbol)
# 设置 - 止损价/止盈价
sl_exchange_params = {
'ccy': "USDT",
'reduceOnly': True,
'tdMode': "cross",
'slOrdPx': "-1",
'slTriggerPx': stop_loss_price,
}
# 止损条件单
common.writeLogEx('止损参数:' + json.dumps([symbol, 'limit', 'sell',
property_val, stop_loss_price, sl_exchange_params]), symbol)
sl_cond_data = exchange.create_order(
symbol, 'limit', 'sell', property_val, stop_loss_price, sl_exchange_params)
common.writeLogEx('止损价数据:', symbol)
common.writeLogEx(json.dumps(sl_cond_data), symbol)
# 止赢条件单
tp_exchange_params = {
'ccy': "USDT",
'reduceOnly': True,
'tdMode': "cross",
'tpOrdPx': "-1",
'tpTriggerPx': closing_price,
}
common.writeLogEx('止盈参数:' + json.dumps([symbol, 'limit', 'sell',
property_val, closing_price, tp_exchange_params]), symbol)
tp_cond_data = exchange.create_order(
symbol, 'limit', 'sell', property_val, closing_price, tp_exchange_params)
common.writeLogEx('止赢数据:', symbol)
common.writeLogEx(json.dumps(tp_cond_data), symbol)
common.writeLogEx('------做多 end----------------------------------', symbol)
return True, open_price, closing_price
def onBuyOrder(symbol, stop_loss_price, profit=0.005, timeframe='15m'):
# 做多开仓
# profit 百分比
try:
return onBuyOrderTry(symbol, stop_loss_price, profit, timeframe)
except Exception as e:
common.writeLogErrorEx(mw.getTracebackInfo(), symbol)
return False, 0, 0
def onSellOrderTry(symbol, stop_loss_price, profit=0.005, timeframe='15m'):
# 信号只在一个周期内执行一次|start
lock_file = common.getServerDir() + '/signal.json'
if not os.path.exists(lock_file):
mw.writeFile(lock_file, '{}')
stype = symbol.replace('/', '_') + '_' + timeframe
trigger_time = common.toUnixTimeSecond(timeframe)
lock_data = json.loads(mw.readFile(lock_file))
if stype in lock_data:
diff_time = time.time() - lock_data[stype]['do_time']
if diff_time >= trigger_time:
lock_data[stype]['do_time'] = time.time()
else:
return False, 0, 0
else:
lock_data[stype] = {'do_time': time.time()}
mw.writeFile(lock_file, json.dumps(lock_data))
# 信号只在一个周期内执行一次|end
common.writeLogEx('------做空----------------------------------', symbol)
# 计算借币卖币多多少,以USDT为基准
# sell_num = float(default_open_num) / float(stop_loss_price)
# sell_num = round(sell_num, 8)
sell_num = default_sell[symbol]
# 做空开仓 | 市价
data = exchange.createMarketSellOrder(
symbol, sell_num, {"tdMode": "cross", 'ccy': "USDT"})
common.writeLogEx('开仓数据:', symbol)
common.writeLogEx(json.dumps(data), symbol)
order_id = data['info']['ordId']
order_data = exchange.fetchOrder(order_id, symbol)
common.writeLogEx('订单数据:', symbol)
common.writeLogEx(json.dumps(order_data), symbol)
# 实际开场平均价
open_price = order_data['info']['avgPx']
common.writeLogEx('可平仓资产:' + str(sell_num), symbol)
# 做空-止损价小于开仓价,重设止损价
if float(stop_loss_price) <= float(open_price):
stop_loss_price = float(open_price) * float((1 + 0.003))
# 止盈价
diff = float(stop_loss_price) - float(open_price)
closing_price_c = float(open_price) - (diff * 2)
closing_price = float(open_price) * float((1 - profit))
# 选择盈利多的
if closing_price_c < closing_price:
closing_price = closing_price_c
closing_price = common.roundVal(closing_price, open_price)
stop_loss_price = common.roundVal(stop_loss_price, open_price)
common.writeLogEx('实际开仓价:' + str(open_price), symbol)
common.writeLogEx('止盈价:' + str(closing_price), symbol)
common.writeLogEx('止损价:' + str(stop_loss_price), symbol)
# 设置 - 止损价
sl_exchange_params = {
'ccy': "USDT",
'reduceOnly': True,
'tdMode': "cross",
'slOrdPx': "-1",
'slTriggerPx': stop_loss_price,
}
sl_amount = common.multiply(stop_loss_price, sell_num)
# 解决平仓时,未全部平仓
sl_amount = common.addition(sl_amount, 0.1)
common.writeLogEx('止损总价值:' + str(sl_amount), symbol)
common.writeLogEx('止损参数:' + json.dumps([symbol, 'limit', 'buy', float(
sl_amount), stop_loss_price, sl_exchange_params]), symbol)
sl_cond_data = exchange.create_order(
symbol, 'limit', 'buy', sl_amount, stop_loss_price, sl_exchange_params)
common.writeLogEx('止损价数据:', symbol)
common.writeLogEx(json.dumps(sl_cond_data), symbol)
tp_exchange_params = {
'ccy': "USDT",
'reduceOnly': True,
'tdMode': "cross",
'tpOrdPx': "-1",
'tpTriggerPx': closing_price,
}
# 设置 -止盈价
tp_amount = common.multiply(closing_price, sell_num)
# 解决平仓时,未全部平仓
tp_amount = common.addition(tp_amount, 0.1)
common.writeLogEx('止盈总价值:' + str(tp_amount), symbol)
common.writeLogEx('止盈参数:' + json.dumps([symbol, 'limit', 'buy', float(
tp_amount), closing_price, tp_exchange_params]), symbol)
tp_cond_data = exchange.create_order(
symbol, 'limit', 'buy', tp_amount, closing_price, tp_exchange_params)
common.writeLogEx('止盈价数据:', symbol)
common.writeLogEx(json.dumps(tp_cond_data), symbol)
common.writeLogEx('------做空 end----------------------------------', symbol)
return True, open_price, closing_price
def onSellOrder(symbol, stop_loss_price, profit=0.005, timeframe='15m'):
# 做空开仓
# profit 百分比
try:
return onSellOrderTry(symbol, stop_loss_price, profit, timeframe)
except Exception as e:
common.writeLogErrorEx(mw.getTracebackInfo(), symbol)
return False, 0, 0
def getOnlineData(symbol, input_tf="15m", limit=230):
bars = exchange.fetch_ohlcv(symbol, timeframe=input_tf, limit=limit)
df = pd.DataFrame(bars[:], columns=['timestamp',
'open', 'high', 'low', 'close', 'volume'])
df['dt'] = pd.to_datetime(df['timestamp'], unit='ms')
df.set_index('dt', inplace=True)
df.index = df.index.tz_localize('UTC').tz_convert('Asia/Shanghai')
return df
def isKdj(last, last_pre):
# 判断是否是金叉
if (float(last_pre['macd']) < 0) and (float(last['macd']) > 0):
return True
return False
def isDeadFork(last, last_pre):
# 判断是否是死叉
if (float(last_pre['macd']) > 0) and (float(last['macd']) < 0):
return True
return False
def getMACD(df, lenght=-60):
if len(df['close'].values) < 100:
return False, None
close_p = df['close'].values
df['dif'], df['dea'], df['macd'] = talib.MACD(close_p,
fastperiod=12,
slowperiod=26,
signalperiod=9)
return df[lenght:]
def getEMA(df):
close_p = df['close'].values
df['ema'] = talib.EMA(np.array(close_p), timeperiod=200)
return df
def doneMacd(data, tag, timeframe):
data = getEMA(data)
ma_data = getMACD(data)
# alen = len(data)
# print(ma_data)
t_data = ma_data.tail(3)
# print(t_data)
last_pre = t_data.iloc[0]
last = t_data.iloc[1]
# print(last)
# print(last.index)
# print('close:', last['close'], 'ema:', last['ema'])
obj = common.MsgTpl()
symbol = tag.upper() + '/USDT'
obj.setName(symbol)
obj.setStrategyName("MACD检查")
obj.setTimeFrame(timeframe)
obj.setOpenTime(last['timestamp'] / 1000)
now_data = t_data.iloc[2]
# print('now_data:', now_data)
# msg = obj.toText()
# print(msg)
if isKdj(last, last_pre) and last['close'] > last['ema']:
# if isKdj(last, last_pre):
# closing_price = common.calc_ClosingPrice(
# now_data['close'], last_pre['low'], 'buy')
# # print('closing_price:', closing_price)
# 做多止损点
stop_loss_price = last_pre['low']
buy_status, open_price, closing_price = onBuyOrder(
symbol, stop_loss_price, 0.005, timeframe)
if buy_status:
obj.setStrategicDt('buy')
# 做多止损点
obj.setStopLossPrice(str(stop_loss_price))
obj.setOpenPrice(str(open_price))
obj.setClosingPrice(str(closing_price))
obj.setContent("检查到金叉状态")
msg = obj.toText()
print(msg)
common.notifyMsg(msg, timeframe, tag)
common.writeLog(msg)
if isDeadFork(last, last_pre) and last['close'] < last['ema']:
# if isDeadFork(last, last_pre):
# closing_price = common.calc_ClosingPrice(
# now_data['close'], last_pre['high'], 'sell')
# 做空止损点
stop_loss_price = last_pre['high']
sell_status, open_price, closing_price = onSellOrder(
symbol, stop_loss_price, 0.005, timeframe)
if sell_status:
obj.setStopLossPrice(str(stop_loss_price))
obj.setOpenPrice(str(open_price))
obj.setClosingPrice(str(closing_price))
obj.setStrategicDt('sell')
obj.setContent("检查到死叉状态")
msg = obj.toText()
print(msg)
common.notifyMsg(msg, timeframe, tag)
common.writeLog(msg)
def mainProcess(tag, timeframe='15m'):
symbol = tag.upper() + '/USDT'
data = getOnlineData(symbol, timeframe)
doneMacd(data, tag, timeframe)
def foreachList():
tag_list = [
'eth', 'dot'
]
for tag in tag_list:
mainProcess(tag, '15m')
time.sleep(1)
def longRun():
while True:
foreachList()
time.sleep(3)
def debug():
while True:
mainProcess('xrp', '1m')
time.sleep(3)
if __name__ == "__main__":
func = sys.argv[1]
if func == 'long':
longRun()
elif func == 'run':
debug()
else:
print('error')

@ -0,0 +1,273 @@
# cd /www/server/mdserver-web && source bin/activate
# python3 plugins/cryptocurrency_trade/ccxt/strategy/online_test.py t_buy_open
# python3 plugins/cryptocurrency_trade/ccxt/strategy/online_test.py t_buy_close
# python3 plugins/cryptocurrency_trade/ccxt/strategy/online_test.py t_sell_open
# python3 plugins/cryptocurrency_trade/ccxt/strategy/online_test.py t_sell_cloe
# 获取仓位数据
# python3 plugins/cryptocurrency_trade/ccxt/strategy/online_test.py t_get_trade
import ccxt
import talib
import sys
import os
import time
import pandas as pd
# import pandas_ta as ta
from pprint import pprint
import numpy as np
sys.path.append(os.getcwd() + "/plugins/cryptocurrency_trade/strategy")
import common
sys.path.append(os.getcwd() + "/class/core")
import mw
exchange = common.initEx()
exchange.load_markets()
def t_get_trade():
data = exchange.fetchPositions()
print(data)
def btc_test():
closing_price = 24599.9
stop_loss_price = 24740.4
# ---------------------------
stop_loss_args = {
'ccy': "USDT",
'reduceOnly': True,
'tdMode': "cross",
'slOrdPx': "-1",
'slTriggerPx': stop_loss_price,
}
print('---------止损价 执行 START ----------------------------------')
sl_amount = stop_loss_price * 0.003
print(amount)
data = exchange.create_order(
'BTC/USDT', 'limit', 'buy', sl_amount, stop_loss_price, stop_loss_args)
print(data)
print('---------止损价 执行 END ----------------------------------')
print('---------止盈价 执行 START ----------------------------------')
closing_price_args = {
'ccy': "USDT",
'reduceOnly': True,
'tdMode': "cross",
'tpOrdPx': "-1",
'tpTriggerPx': closing_price,
}
cp_amount = closing_price * 0.003
print(amount)
data = exchange.create_order(
'BTC/USDT', 'limit', 'buy', cp_amount, closing_price, closing_price_args)
print(data)
print('---------止盈价 执行 END ----------------------------------')
def testK_buy_open_sz():
# 做多开仓
data = exchange.fetchTicker('DOT/USDT')
print(data)
# data = exchange.createMarketBuyOrder('DOT/USDT', 1, {"tdMode": "cross"})
# print(data)
# print(type(data))
def testK_buy_open():
# 做多开仓
data = exchange.createMarketBuyOrder(
'DOT/USDT', 1, {"tdMode": "cross"})
print(data)
print(type(data))
# 数据
# {'info': {'clOrdId': 'e847386590ce4dBC58e8b0afb0fe70cc', 'ordId': '554437054223302656', 'sCode': '0', 'sMsg': 'Order placed', 'tag': 'e847386590ce4dBC'}, 'id': '554437054223302656', 'clientOrderId': 'e847386590ce4dBC58e8b0afb0fe70cc', 'timestamp': None, 'datetime': None, 'lastTradeTimestamp': None, 'symbol': 'DOT/USDT', 'type': 'market', 'timeInForce': None, 'postOnly': None, 'side': 'buy', 'price': None, 'stopPrice': None, 'triggerPrice': None, 'average': None, 'cost': None, 'amount': None, 'filled': None, 'remaining': None, 'status': None, 'fee': None, 'trades': [], 'reduceOnly': None, 'fees': []}
# 查询委托单
order_id = data['info']['ordId']
# order_id = '554437054223302656'
data = exchange.fetchOrder(order_id, 'DOT/USDT')
print(data['info'])
# {'info': {'accFillSz': '0.190548', 'algoClOrdId': '', 'algoId': '', 'avgPx': '5.248', 'cTime': '1678441709955', 'cancelSource': '', 'cancelSourceReason': '', 'category': 'normal', 'ccy': 'USDT', 'clOrdId': 'e847386590ce4dBCeaddfd1494dc7080', 'fee': '-0.000190548', 'feeCcy': 'DOT', 'fillPx': '5.248', 'fillSz': '0.190548', 'fillTime': '1678441709957', 'instId': 'DOT-USDT', 'instType': 'MARGIN', 'lever': '10', 'ordId': '554359943143833600', 'ordType': 'market', 'pnl': '0', 'posSide': 'net', 'px': '', 'quickMgnType': '', 'rebate': '0', 'rebateCcy': 'USDT', 'reduceOnly': 'false', 'side': 'buy', 'slOrdPx': '', 'slTriggerPx': '', 'slTriggerPxType': '', 'source': '', 'state': 'filled', 'sz': '1', 'tag': 'e847386590ce4dBC', 'tdMode': 'cross', 'tgtCcy': '', 'tpOrdPx': '', 'tpTriggerPx': '', 'tpTriggerPxType': '', 'tradeId': '81184616', 'uTime': '1678441709960'}, 'id': '554359943143833600', 'clientOrderId': 'e847386590ce4dBCeaddfd1494dc7080', 'timestamp': 1678441709955, 'datetime': '2023-03-10T09:48:29.955Z', 'lastTradeTimestamp': 1678441709957, 'symbol': 'DOT/USDT', 'type': 'market', 'timeInForce': 'IOC', 'postOnly': None, 'side': 'buy', 'price': 5.248, 'stopPrice': None, 'triggerPrice': None, 'average': 5.248, 'cost': 0.999995904, 'amount': 1.0, 'filled': 0.190548, 'remaining': 0.809452, 'status': 'closed', 'fee': {'cost': 0.000190548, 'currency': 'DOT'}, 'trades': [], 'reduceOnly': False, 'fees': [{'cost': 0.000190548, 'currency': 'DOT'}]}
open_price = data['info']['avgPx']
print("开仓平均价", open_price)
# 止盈价
closing_price = float(open_price) * float((1 + 0.005))
closing_price = common.roundVal(closing_price, open_price)
print("止盈价", closing_price)
# 止损价
stop_loss_price = float(open_price) * float((1 - 0.01))
stop_loss_price = common.roundVal(stop_loss_price, open_price)
print("止损价", stop_loss_price)
property_val = float(data['info']['accFillSz']) + \
float(data['info']['fee'])
# 相同位数
property_val = common.roundValCeil(property_val, data['info']['accFillSz'])
print("可平仓资产", property_val)
# closed_orders = exchange.fetchClosedOrders('DOT/USDT', limit=2)
# print('closed_orders', closed_orders)
# print(exchange.fetchBalance())
# 可以用,限价单
# time.sleep(1)
# data = exchange.createLimitSellOrder(
# 'DOT/USDT', property_val, closing_price, {"tdMode": "cross", 'ccy': 'USDT', "reduceOnly": True})
# print(data)
# print(type(data))
# 止损价
# 止盈价
exchange_params = {
'ccy': "USDT",
'reduceOnly': True,
'tdMode': "cross",
'tpOrdPx': "-1",
'tpTriggerPx': closing_price,
'slOrdPx': "-1",
'slTriggerPx': stop_loss_price,
}
print('---------止损价 执行----------------------------------')
data = exchange.create_order(
'DOT/USDT', 'limit', 'sell', property_val, closing_price, exchange_params)
print(data)
print(type(data))
# print('---------止盈价 执行----------------------------------')
# exchange_params = {
# 'stopPrice': closing_price,
# 'type': 'stopLimit',
# }
# data = exchange.create_order(
# 'DOT/USDT', 'limit', 'sell', property_val, closing_price, exchange_params)
# print(data)
# print(type(data))
def testK_buy_close():
# 平多
data = exchange.create_limit_buy_order(
'DOT/USDT', 1, 5, {"tdMode": "cross"})
print(data)
print(type(data))
# closed_orders = exchange.fetchClosedOrders('BTC/USDT', limit=2)
# print(closed_orders)
# closed_orders = exchange.fetchMyTrades('ETH/USDT', limit=2)
# print(closed_orders)
def testK_sell_open():
# 做空开仓
# data = exchange.createMarketSellOrder(
# 'DOT/USDT', 1, {"tdMode": "cross", 'ccy': "USDT", })
# print(data)
# print(type(data))
# 数据
# {'info': {'clOrdId': 'e847386590ce4dBC58e8b0afb0fe70cc', 'ordId': '554437054223302656', 'sCode': '0', 'sMsg': 'Order placed', 'tag': 'e847386590ce4dBC'}, 'id': '554437054223302656', 'clientOrderId': 'e847386590ce4dBC58e8b0afb0fe70cc', 'timestamp': None, 'datetime': None, 'lastTradeTimestamp': None, 'symbol': 'DOT/USDT', 'type': 'market', 'timeInForce': None, 'postOnly': None, 'side': 'buy', 'price': None, 'stopPrice': None, 'triggerPrice': None, 'average': None, 'cost': None, 'amount': None, 'filled': None, 'remaining': None, 'status': None, 'fee': None, 'trades': [], 'reduceOnly': None, 'fees': []}
# # 查询委托单
# order_id = data['info']['ordId']
order_id = '554516809819832320'
data = exchange.fetchOrder(order_id, 'DOT/USDT')
print(data['info'])
# {'info': {'accFillSz': '0.190548', 'algoClOrdId': '', 'algoId': '', 'avgPx': '5.248', 'cTime': '1678441709955', 'cancelSource': '', 'cancelSourceReason': '', 'category': 'normal', 'ccy': 'USDT', 'clOrdId': 'e847386590ce4dBCeaddfd1494dc7080', 'fee': '-0.000190548', 'feeCcy': 'DOT', 'fillPx': '5.248', 'fillSz': '0.190548', 'fillTime': '1678441709957', 'instId': 'DOT-USDT', 'instType': 'MARGIN', 'lever': '10', 'ordId': '554359943143833600', 'ordType': 'market', 'pnl': '0', 'posSide': 'net', 'px': '', 'quickMgnType': '', 'rebate': '0', 'rebateCcy': 'USDT', 'reduceOnly': 'false', 'side': 'buy', 'slOrdPx': '', 'slTriggerPx': '', 'slTriggerPxType': '', 'source': '', 'state': 'filled', 'sz': '1', 'tag': 'e847386590ce4dBC', 'tdMode': 'cross', 'tgtCcy': '', 'tpOrdPx': '', 'tpTriggerPx': '', 'tpTriggerPxType': '', 'tradeId': '81184616', 'uTime': '1678441709960'}, 'id': '554359943143833600', 'clientOrderId': 'e847386590ce4dBCeaddfd1494dc7080', 'timestamp': 1678441709955, 'datetime': '2023-03-10T09:48:29.955Z', 'lastTradeTimestamp': 1678441709957, 'symbol': 'DOT/USDT', 'type': 'market', 'timeInForce': 'IOC', 'postOnly': None, 'side': 'buy', 'price': 5.248, 'stopPrice': None, 'triggerPrice': None, 'average': 5.248, 'cost': 0.999995904, 'amount': 1.0, 'filled': 0.190548, 'remaining': 0.809452, 'status': 'closed', 'fee': {'cost': 0.000190548, 'currency': 'DOT'}, 'trades': [], 'reduceOnly': False, 'fees': [{'cost': 0.000190548, 'currency': 'DOT'}]}
open_price = data['info']['avgPx']
print("开仓平均价", open_price)
# 止盈价
closing_price = float(open_price) * float((1 - 0.005))
closing_price = common.roundVal(closing_price, open_price)
print("止盈价", closing_price)
# 止损价
stop_loss_price = float(open_price) * float((1 + 0.01))
stop_loss_price = common.roundVal(stop_loss_price, open_price)
print("止损价", stop_loss_price)
property_val = float(data['info']['accFillSz'])
# 相同位数
print("可平仓资产", property_val)
# 止损价
# 止盈价
exchange_params = {
'ccy': "USDT",
'reduceOnly': True,
'tdMode': "cross",
'tpOrdPx': "-1",
'tpTriggerPx': closing_price,
'slOrdPx': "-1",
'slTriggerPx': stop_loss_price,
}
print('---------止损价 执行----------------------------------')
data = exchange.create_order(
'DOT/USDT', 'limit', 'buy', property_val, closing_price, exchange_params)
print(data)
print(type(data))
def testK_sell_close():
# 平多
data = exchange.create_limit_buy_order(
'DOT/USDT', 1, 5, {"tdMode": "cross"})
print(data)
print(type(data))
# closed_orders = exchange.fetchClosedOrders('BTC/USDT', limit=2)
# print(closed_orders)
# closed_orders = exchange.fetchMyTrades('ETH/USDT', limit=2)
# print(closed_orders)
if __name__ == "__main__":
func = sys.argv[1]
if func == 'long':
longRun()
elif func == 'run':
debug()
elif func == 'test':
testKdan()
elif func == 't_get_trade':
t_get_trade()
elif func == 't_buy_open':
btc_test()
elif func == 't_buy_close':
testK_buy_close()
elif func == 't_sell_open':
testK_sell_open()
elif func == 't_sell_cloe':
testK_sell_close()
else:
print('error')

@ -0,0 +1,102 @@
import ccxt
import talib
import sys
import os
import time
import pandas as pd
import pandas_ta as ta
from pprint import pprint
sys.path.append(os.getcwd() + "/plugins/cryptocurrency_trade/strategy")
import common
# cd /www/server/mdserver-web && source bin/activate
# python3 plugins/cryptocurrency_trade/ccxt/strategy/rsi_robot.py run
pd.set_option('display.max_rows', None)
exchange = common.initEx()
# 查看隐形方法
# print(dir(exchange))
exchange.load_markets()
entry_rsi = 30
exit_rsi = 40
symbol = 'XRP/USDT'
timeframe = '15m'
tf_mult = exchange.parse_timeframe(timeframe) * 1000
def indicators(data):
data['rsi'] = data.ta.rsi(length=10)
data['ema'] = data.ta.ema(length=200)
# close_p = data['close'].values
# data['rsi'] = talib.RSI(close_p, timeperiod=10)
# data['ema'] = talib.EMA(close_p, timeperiod=200)
return data
def check_buy_sell_signals(df):
last_row_index = len(df.index) - 1
lastest_rsi = round(df['rsi'].iloc[-1], 2)
lastest_price = round(df['close'].iloc[-1], 5)
lastest_ema = round(df['ema'].iloc[-1], 5)
lastest_ts = df['timestamp'].iloc[-1]
msg = "lastest_rsi:" + str(lastest_rsi) + " < entry_rsi:" + str(entry_rsi)
msg += ",lastest_price:" + \
str(lastest_price) + " > lastest_ema:" + str(lastest_ema)
print(msg)
long_cond = (lastest_rsi < entry_rsi) and (lastest_price > lastest_ema)
if long_cond:
print("买入")
order = exchange.create_market_buy_order(symbol, 1)
closed_orders = exchange.fetchClosedOrders(symbol, limit=2)
if len(closed_orders) > 0:
print("closed_orders:", closed_orders)
most_recent_closed_order = closed_orders[-1]
diff = lastest_ts - most_recent_closed_order['timestamp']
last_buy_signal_cnt = int(diff / tf_mult)
exit_cond = (lastest_rsi > exit_rsi) and (last_buy_signal_cnt > 10)
if exit_cond:
print("卖出")
order = exchange.create_market_sell_order(symbol, 1)
return
def runBot():
bars = exchange.fetch_ohlcv(symbol, timeframe=timeframe, limit=200)
df = pd.DataFrame(bars[:], columns=['timestamp',
'open', 'high', 'low', 'close', 'volume'])
df['dt'] = pd.to_datetime(df['timestamp'], unit='ms')
df = indicators(df).tail(30)
check_buy_sell_signals(df)
def longRunBot():
while True:
runBot()
time.sleep(10)
if __name__ == "__main__":
func = sys.argv[1]
if func == 'run':
longRunBot()
else:
print('error')

@ -0,0 +1,536 @@
# cd /www/server/mdserver-web && source bin/activate
# python3 plugins/cryptocurrency_trade/ccxt/strategy/vega_trade.py run
# python3 plugins/cryptocurrency_trade/ccxt/strategy/vega_trade.py long
# 动量策略交易
################
import ccxt
import talib
import sys
import os
import time
import json
import pandas as pd
# import pandas_ta as ta
from pprint import pprint
import numpy as np
sys.path.append(os.getcwd() + "/plugins/cryptocurrency_trade/strategy")
import common
sys.path.append(os.getcwd() + "/class/core")
import mw
exchange = common.initEx()
exchange.load_markets()
# 默认开仓数据
# default_open_num = 70
# default_sell_num = 0.003
default_open = {
'BTC/USDT': 70,
'XRP/USDT': 70,
}
default_sell = {
'BTC/USDT': 0.003,
'XRP/USDT': 185,
}
# 做多开仓
def onBuyOrderTry(symbol, stop_loss_price, profit=0.005, timeframe='15m'):
# 信号只在一个周期内执行一次|start
lock_file = common.getServerDir() + '/signal.json'
if not os.path.exists(lock_file):
mw.writeFile(lock_file, '{}')
stype = symbol.replace('/', '_') + '_' + timeframe
trigger_time = common.toUnixTimeSecond(timeframe)
lock_data = json.loads(mw.readFile(lock_file))
if stype in lock_data:
diff_time = time.time() - lock_data[stype]['do_time']
if diff_time >= trigger_time:
lock_data[stype]['do_time'] = time.time()
else:
return False, 0, 0
else:
lock_data[stype] = {'do_time': time.time()}
mw.writeFile(lock_file, json.dumps(lock_data))
# 信号只在一个周期内执行一次|end
common.writeLogEx('------做多----------------------------------', symbol)
default_open_num = default_open[symbol]
# 做多开仓 | 市价
data = exchange.createMarketBuyOrder(
symbol, default_open_num, {"tdMode": "cross"})
common.writeLogEx('开仓数据:', symbol)
common.writeLogEx(json.dumps(data), symbol)
order_id = data['info']['ordId']
order_data = exchange.fetchOrder(order_id, symbol)
common.writeLogEx('订单数据:', symbol)
common.writeLogEx(json.dumps(order_data), symbol)
# 实际开场平均价
open_price = order_data['info']['avgPx']
# 修正小数点位数
open_price = common.roundVal(open_price, stop_loss_price)
common.writeLogEx('实际开仓价:' + str(open_price), symbol)
# 做多-止损价大于开仓价,重设止损价
if float(stop_loss_price) <= float(open_price):
stop_loss_price = float(open_price) * float((1 - 0.003))
# property_val = float(order_data['info']['accFillSz']) + float(order_data['info']['fee'])
property_val = common.addition(order_data['info'][
'accFillSz'], order_data['info']['fee'])
property_val = float(property_val)
# 可平仓的数量
# property_val = common.roundValCeil(
# property_val, order_data['info']['accFillSz'])
common.writeLogEx('可平仓资产:' + str(property_val), symbol)
# 止盈价
diff = float(open_price) - float(stop_loss_price)
closing_price = float(open_price) + (diff * 1.5)
# closing_price = float(open_price) * float((1 + profit))
# # 选择盈利多的
# if closing_price_c > closing_price:
# closing_price = closing_price_c
closing_price = common.roundVal(closing_price, open_price)
stop_loss_price = common.roundVal(stop_loss_price, open_price)
common.writeLogEx('止盈价:' + str(closing_price), symbol)
common.writeLogEx('止损价:' + str(stop_loss_price), symbol)
# 设置 - 止损价/止盈价
sl_exchange_params = {
'ccy': "USDT",
'reduceOnly': True,
'tdMode': "cross",
'slOrdPx': "-1",
'slTriggerPx': stop_loss_price,
}
# 止损条件单
common.writeLogEx('止损参数:' + json.dumps([symbol, 'limit', 'sell',
property_val, stop_loss_price, sl_exchange_params]), symbol)
sl_cond_data = exchange.create_order(
symbol, 'limit', 'sell', property_val, stop_loss_price, sl_exchange_params)
common.writeLogEx('止损价数据:', symbol)
common.writeLogEx(json.dumps(sl_cond_data), symbol)
# 止赢条件单
tp_exchange_params = {
'ccy': "USDT",
'reduceOnly': True,
'tdMode': "cross",
'tpOrdPx': "-1",
'tpTriggerPx': closing_price,
}
common.writeLogEx('止盈参数:' + json.dumps([symbol, 'limit', 'sell',
property_val, closing_price, tp_exchange_params]), symbol)
tp_cond_data = exchange.create_order(
symbol, 'limit', 'sell', property_val, closing_price, tp_exchange_params)
common.writeLogEx('止盈数据:', symbol)
common.writeLogEx(json.dumps(tp_cond_data), symbol)
common.writeLogEx('------做多 end----------------------------------', symbol)
return True, open_price, closing_price
def onBuyOrder(symbol, stop_loss_price, profit=0.005, timeframe='15m'):
# 做多开仓
# profit 百分比
try:
return onBuyOrderTry(symbol, stop_loss_price, profit, timeframe)
except Exception as e:
common.writeLogErrorEx(mw.getTracebackInfo(), symbol)
return False, 0, 0
def onSellOrderTry(symbol, stop_loss_price, profit=0.005, timeframe='15m'):
# 信号只在一个周期内执行一次|start
lock_file = common.getServerDir() + '/signal.json'
if not os.path.exists(lock_file):
mw.writeFile(lock_file, '{}')
stype = symbol.replace('/', '_') + '_' + timeframe
trigger_time = common.toUnixTimeSecond(timeframe)
lock_data = json.loads(mw.readFile(lock_file))
if stype in lock_data:
diff_time = time.time() - lock_data[stype]['do_time']
if diff_time >= trigger_time:
lock_data[stype]['do_time'] = time.time()
else:
return False, 0, 0
else:
lock_data[stype] = {'do_time': time.time()}
mw.writeFile(lock_file, json.dumps(lock_data))
# 信号只在一个周期内执行一次|end
common.writeLogEx('------做空----------------------------------', symbol)
# 计算借币卖币多多少,以USDT为基准
# sell_num = float(default_open_num) / float(stop_loss_price)
# sell_num = round(sell_num, 8)
# sell_num = default_sell_num
sell_num = default_sell[symbol]
# 做空开仓 | 市价
data = exchange.createMarketSellOrder(
symbol, sell_num, {"tdMode": "cross", 'ccy': "USDT"})
common.writeLogEx('开仓数据:', symbol)
common.writeLogEx(json.dumps(data), symbol)
order_id = data['info']['ordId']
order_data = exchange.fetchOrder(order_id, symbol)
common.writeLogEx('订单数据:', symbol)
common.writeLogEx(json.dumps(order_data), symbol)
# 实际开场平均价
open_price = order_data['info']['avgPx']
# 修正
open_price = common.roundVal(open_price, stop_loss_price)
common.writeLogEx('实际开仓价:' + str(open_price), symbol)
common.writeLogEx('可平仓资产:' + str(sell_num), symbol)
# 做空-止损价小于开仓价,重设止损价
if float(stop_loss_price) <= float(open_price):
stop_loss_price = float(open_price) * float((1 + 0.003))
# 止盈价
diff = float(stop_loss_price) - float(open_price)
closing_price = float(open_price) - (diff * 1.5)
# closing_price = float(open_price) * float((1 - profit))
# 选择盈利多的
# if closing_price_c < closing_price:
# closing_price = closing_price_c
closing_price = common.roundVal(closing_price, open_price)
stop_loss_price = common.roundVal(stop_loss_price, open_price)
common.writeLogEx('止盈价:' + str(closing_price), symbol)
common.writeLogEx('止损价:' + str(stop_loss_price), symbol)
# 设置 - 止损价
sl_exchange_params = {
'ccy': "USDT",
'reduceOnly': True,
'tdMode': "cross",
'slOrdPx': "-1",
'slTriggerPx': stop_loss_price,
}
sl_amount = common.multiply(stop_loss_price, sell_num)
# 解决平仓时,未全部平仓
sl_amount = common.addition(sl_amount, 0.1)
common.writeLogEx('止损总价值:' + str(sl_amount), symbol)
common.writeLogEx('止损参数:' + json.dumps([symbol, 'limit', 'buy', float(
sl_amount), stop_loss_price, sl_exchange_params]), symbol)
sl_cond_data = exchange.create_order(
symbol, 'limit', 'buy', float(sl_amount), stop_loss_price, sl_exchange_params)
common.writeLogEx('止损价数据:', symbol)
common.writeLogEx(json.dumps(sl_cond_data), symbol)
tp_exchange_params = {
'ccy': "USDT",
'reduceOnly': True,
'tdMode': "cross",
'tpOrdPx': "-1",
'tpTriggerPx': closing_price,
}
# 设置 -止盈价
# tp_amount = closing_price * sell_num
tp_amount = common.multiply(closing_price, sell_num)
# 解决平仓时,未全部平仓
tp_amount = common.addition(tp_amount, 0.1)
common.writeLogEx('止盈总价值:' + str(tp_amount), symbol)
common.writeLogEx('止盈参数:' + json.dumps([symbol, 'limit', 'buy', float(
tp_amount), closing_price, tp_exchange_params]), symbol)
tp_cond_data = exchange.create_order(
symbol, 'limit', 'buy', float(tp_amount), closing_price, tp_exchange_params)
common.writeLogEx('止盈价数据:', symbol)
common.writeLogEx(json.dumps(tp_cond_data), symbol)
common.writeLogEx('------做空 end----------------------------------', symbol)
return True, open_price, closing_price
def onSellOrder(symbol, stop_loss_price, profit=0.005, timeframe='15m'):
# 做空开仓
# profit 百分比
try:
return onSellOrderTry(symbol, stop_loss_price, profit, timeframe)
except Exception as e:
common.writeLogErrorEx(mw.getTracebackInfo(), symbol)
return False, 0, 0
def getOnlineData(symbol, input_tf="15m", limit=500):
bars = exchange.fetch_ohlcv(symbol, timeframe=input_tf, limit=500)
df = pd.DataFrame(bars[:], columns=['timestamp',
'open', 'high', 'low', 'close', 'volume'])
df['dt'] = pd.to_datetime(df['timestamp'], unit='ms')
df.set_index('dt', inplace=True)
df.index = df.index.tz_localize('UTC').tz_convert('Asia/Shanghai')
return df
def isKdj(last, last_pre):
# 判断是否是金叉
if (float(last_pre['macd']) < 0) and (float(last['macd']) > 0):
return True
return False
def isDeadFork(last, last_pre):
# 判断是否是死叉
if (float(last_pre['macd']) > 0) and (float(last['macd']) < 0):
return True
return False
def getTarget(df):
close = df['close'].values
# vega
df['ema144'] = talib.EMA(np.array(close), timeperiod=144)
df['ema169'] = talib.EMA(np.array(close), timeperiod=169)
df['ema288'] = talib.EMA(np.array(close), timeperiod=288)
df['ema388'] = talib.EMA(np.array(close), timeperiod=388)
df['rsi'] = talib.RSI(close, timeperiod=14)
return df
# 多头信号
def isBuyCrondSignal(last):
if last['ema'] > last['ma'] and (last['rsi'] > 50 and last['rsi'] < 70) and last['low'] >= last['ma'] and last['close'] > last['open']:
return True
return False
def isBuyFristSignal(data):
data = data.sort_values(by=['timestamp'], ascending=False)
# print(data)
data_len = len(data)
signal_num = 0
first_data = data.iloc[1]
# print(1, first_data['close'], first_data['ema'])
is_buy_signal = isBuyCrondSignal(first_data)
for x in range(2, data_len):
tmp = data.iloc[x]
# print(data.iloc[x])
# print(x, tmp['close'], tmp['ema'])
if isBuyCrondSignal(tmp):
signal_num = + 1
# print('signal_num:', signal_num)
if (tmp['ema'] < tmp['ma']):
break
if str(tmp['ema']) == 'nan':
break
print("is_buy_signal:", is_buy_signal, 'signal_num:', signal_num)
if is_buy_signal and signal_num == 0:
return True
return False
# 空头信号
def isSellCrondSignal(last):
if last['ema'] < last['ma'] and (last['rsi'] > 30 and last['rsi'] < 50) and last['high'] <= last['ema'] and last['close'] < last['open']:
return True
return False
def isSellFristSignal(data):
data = data.sort_values(by=['timestamp'], ascending=False)
# print(data)
data_len = len(data)
signal_num = 0
first_data = data.iloc[1]
# print(1, first_data['close'], first_data['ema'])
is_sell_signal = isSellCrondSignal(first_data)
for x in range(2, data_len):
tmp = data.iloc[x]
# print(data.iloc[x])
# print(x, tmp['close'], tmp['ema'])
if isSellCrondSignal(tmp):
signal_num = + 1
# print('signal_num:', signal_num)
if (tmp['ema'] < tmp['ma']):
break
if str(tmp['ema']) == 'nan':
break
print("is_sell_signal:", is_sell_signal, 'signal_num:', signal_num)
if is_sell_signal and signal_num == 0:
return True
return False
def isDownTrendCover(data, tag, timeframe):
# print(tag, timeframe, "开始检测是否下跌趋势")
# 下跌趋势回调
key_data = data.tail(2)
last_pre = key_data.iloc[0]
last = key_data.iloc[1]
pdata = data.tail(11)
for x in range(10):
t = pdata.iloc[x]
if t['low'] > t['ema388']:
print(tag, timeframe, "上升震荡行情过滤")
# print(t)
return False
if last['ema144'] > last['ema388']:
return False
print(tag, timeframe, "检查是下跌趋势!")
# 检查是否是下跌趋势
if last['high'] > last['ema388']:
return True
return False
def isUpTrendAndCover(data, tag, timeframe):
# print(tag, timeframe, "开始检测是否上升趋势")
# 上升趋势回调
key_data = data.tail(2)
# print(key_data)
last_pre = key_data.iloc[0]
last = key_data.iloc[1]
pdata = data.tail(11)
for x in range(10):
t = pdata.iloc[x]
if t['low'] < t['ema144']:
print(tag, timeframe, "上升震荡行情过滤")
return False
if last['ema144'] < last['ema388']:
return False
print(tag, timeframe, "检查是上升趋势")
# 检查是否是上升趋势
if last['low'] < last['ema144']:
return True
return False
def vegaTrade(data, tag, timeframe):
data = getTarget(data)
# print(data)
key_data = data.tail(2)
# print(key_data)
# last_pre = key_data.iloc[0]
last = key_data.iloc[1]
# print(last)
obj = common.MsgTpl()
symbol = tag.upper() + '/USDT'
obj.setName(symbol)
obj.setStrategyName("VEGA交易策略|仅具有指导作用")
obj.setTimeFrame(timeframe)
obj.setOpenTime(last['addtime'])
if isUpTrendAndCover(data, tag, timeframe):
obj.setStrategicDt('buy')
obj.setContent("VEGA上升趋势!回调做多~建议!")
msg = obj.toText()
common.notifyMsg(msg, timeframe, tag)
common.writeLog(msg)
if isDownTrendCover(data, tag, timeframe):
obj.setStrategicDt('sell')
obj.setContent("Vega下跌趋势!回调做空~建议!")
msg = obj.toText()
common.notifyMsg(msg, timeframe, tag)
common.writeLog(msg)
def mainProcess(tag, timeframe='5m'):
symbol = tag.upper() + '/USDT'
data = common.getDataFromDb_DF(timeframe, tag.lower())
vegaTrade(data, tag, timeframe)
return True
def foreachList():
tag_list = ['btc', 'xrp', 'eth', 'ltc', 'okb']
for tag in tag_list:
trame_list = ['5m', '15m', '1h', '4h']
for tf in trame_list:
mainProcess(tag, tf)
# time.sleep(1)
def longRun():
while True:
try:
foreachList()
time.sleep(1)
except Exception as e:
print(mw.getTracebackInfo())
time.sleep(3)
def debug():
while True:
mainProcess('btc', '5m')
time.sleep(1)
if __name__ == "__main__":
func = sys.argv[1]
if func == 'long':
longRun()
elif func == 'run':
debug()
else:
print('error')

@ -0,0 +1,128 @@
'''
pip install git+https://github.com/catalyst-team/catalyst@master --upgrade
cd /www/server/mdserver-web && python3 plugins/cryptocurrency_trade/ccxt/test/p1.py
cd /Users/midoks/Desktop/mwdev/server/mdserver-web && source bin/activate
python3 plugins/cryptocurrency_trade/ccxt/test/p1.py
'''
from datetime import datetime
import akshare as ak
import pandas as pd
import backtrader as bt
class BollStrategy(bt.Strategy): # BOLL策略程序
params = (("nk", 13), # 求均值的天数
('printlog', False),) # 打印log
def __init__(self): # 初始化
self.data_close = self.datas[0].close # 指定价格序列
# 初始化交易指令、买卖价格和手续费
self.order = None
self.buy_price = None
self.buy_comm = None
# Boll指标计算
self.top = bt.indicators.BollingerBands(
self.datas[0], period=self.params.nk).top
self.bot = bt.indicators.BollingerBands(
self.datas[0], period=self.params.nk).bot
# 添加移动均线指标
self.sma = bt.indicators.SimpleMovingAverage(
self.datas[0], period=self.params.nk)
def next(self): # 买卖策略
if self.order: # 检查是否有指令等待执行
return
# 检查是否持仓
"""
if not self.position: # 没有持仓
if self.data_close[0] > self.sma[0]: # 执行买入条件判断:收盘价格上涨突破20日均线
self.order = self.buy(size=100) # 执行买入
else:
if self.data_close[0] < self.sma[0]: # 执行卖出条件判断:收盘价格跌破20日均线
self.order = self.sell(size=100) # 执行卖出
"""
if not self.position: # 没有持仓
if self.data_close[0] < self.bot[0]: # 收盘价格跌破下轨
self.log("BUY CREATE, %.2f" % self.data_close[0])
self.order = self.buy() # 执行买入
else:
if self.data_close[0] > self.top[0]: # 收盘价格上涨突破上轨
self.log("SELL CREATE, %.2f" % self.data_close[0])
self.order = self.sell() # 执行卖出
def log(self, txt, dt=None, do_print=False): # 日志函数
if self.params.printlog or do_print:
dt = dt or self.datas[0].datetime.date(0)
print('%s, %s' % (dt.isoformat(), txt))
def notify_order(self, order): # 记录交易执行情况
# 如果order为submitted/accepted,返回空
if order.status in [order.Submitted, order.Accepted]:
return
# 指令为buy/sell,报告价格结果
if order.status in [order.Completed]:
if order.isbuy():
self.log(
f"买入:\n价格:{order.executed.price},\
成本:{order.executed.value},\
手续费:{order.executed.comm}"
)
self.buyprice = order.executed.price
self.buycomm = order.executed.comm
else:
self.log(
f"卖出:\n价格:{order.executed.price},\
成本: {order.executed.value},\
手续费{order.executed.comm}"
)
self.bar_executed = len(self)
elif order.status in [order.Canceled, order.Margin, order.Rejected]:
self.log("交易失败") # 指令取消/交易失败, 报告结果
self.order = None
def notify_trade(self, trade): # 记录交易收益情况
if not trade.isclosed:
return
self.log(f"策略收益:\n毛收益 {trade.pnl:.2f}, 净收益 {trade.pnlcomm:.2f}")
def stop(self): # 回测结束后输出结果
self.log("(BOLL线: %2d日) 期末总资金 %.2f" %
(self.params.nk, self.broker.getvalue()), do_print=True)
code = "600036" # 股票代码
start_cash = 1000000 # 初始自己为1000000
stake = 100 # 单次交易数量为1手
commfee = 0.0005 # 佣金为万5
sdate = '20210101' # 回测时间段
edate = '20220930'
cerebro = bt.Cerebro() # 创建回测系统实例
# 利用AKShare获取股票的前复权数据的前6列
df_qfq = ak.stock_zh_a_hist(
symbol=code, adjust="qfq", start_date=sdate, end_date=edate).iloc[:, :6]
# 处理字段命名,以符合Backtrader的要求
df_qfq.columns = ['date', 'open', 'close', 'high', 'low', 'volume', ]
# 把date作为日期索引,以符合Backtrader的要求
df_qfq.index = pd.to_datetime(df_qfq['date'])
start_date = datetime.strptime(sdate, "%Y%m%d") # 转换日期格式
end_date = datetime.strptime(edate, "%Y%m%d")
# start_date=datetime(2022,1,4)
# end_date=datetime(2022,9,16)
data = bt.feeds.PandasData(
dataname=df_qfq, fromdate=start_date, todate=end_date) # 规范化数据格式
cerebro.adddata(data) # 加载数据
cerebro.addstrategy(BollStrategy, nk=13, printlog=True) # 加载交易策略
cerebro.broker.setcash(start_cash) # broker设置资金
cerebro.broker.setcommission(commission=commfee) # broker手续费
cerebro.addsizer(bt.sizers.FixedSize, stake=stake) # 设置买入数量
print("期初总资金: %.2f" % start_cash)
cerebro.run() # 运行回测
end_value = cerebro.broker.getvalue() # 获取回测结束后的总资金
print("期末总资金: %.2f" % end_value)
cerebro.plot()

@ -0,0 +1,154 @@
'''
pip install git+https://github.com/catalyst-team/catalyst@master --upgrade
cd /www/server/mdserver-web && python3 plugins/cryptocurrency_trade/ccxt/test/p1.py
cd /Users/midoks/Desktop/mwdev/server/mdserver-web && source bin/activate
python3 plugins/cryptocurrency_trade/ccxt/test/p1.py
'''
from datetime import datetime
import akshare as ak
import pandas as pd
import backtrader as bt
import sys
import os
sys.path.append(os.getcwd() + "/plugins/cryptocurrency_trade/ccxt/strategy")
import common
class BollStrategy(bt.Strategy): # BOLL策略程序
params = (("nk", 13), # 求均值的天数
('printlog', False),) # 打印log
def __init__(self): # 初始化
self.data_close = self.datas[0].close # 指定价格序列
# 初始化交易指令、买卖价格和手续费
self.order = None
self.buy_price = None
self.buy_comm = None
# Boll指标计算
self.top = bt.indicators.BollingerBands(
self.datas[0], period=self.params.nk).top
self.bot = bt.indicators.BollingerBands(
self.datas[0], period=self.params.nk).bot
# 添加移动均线指标
self.sma = bt.indicators.SimpleMovingAverage(
self.datas[0], period=self.params.nk)
def next(self): # 买卖策略
if self.order: # 检查是否有指令等待执行
return
# 检查是否持仓
"""
if not self.position: # 没有持仓
if self.data_close[0] > self.sma[0]: # 执行买入条件判断:收盘价格上涨突破20日均线
self.order = self.buy(size=100) # 执行买入
else:
if self.data_close[0] < self.sma[0]: # 执行卖出条件判断:收盘价格跌破20日均线
self.order = self.sell(size=100) # 执行卖出
"""
if not self.position: # 没有持仓
if self.data_close[0] < self.bot[0]: # 收盘价格跌破下轨
self.log("BUY CREATE, %.2f" % self.data_close[0])
self.order = self.buy() # 执行买入
else:
if self.data_close[0] > self.top[0]: # 收盘价格上涨突破上轨
self.log("SELL CREATE, %.2f" % self.data_close[0])
self.order = self.sell() # 执行卖出
def log(self, txt, dt=None, do_print=False): # 日志函数
if self.params.printlog or do_print:
dt = dt or self.datas[0].datetime.date(0)
print('%s, %s' % (dt.isoformat(), txt))
def notify_order(self, order): # 记录交易执行情况
# 如果order为submitted/accepted,返回空
if order.status in [order.Submitted, order.Accepted]:
return
# 指令为buy/sell,报告价格结果
if order.status in [order.Completed]:
if order.isbuy():
self.log(
f"买入:\n价格:{order.executed.price},\
成本:{order.executed.value},\
手续费:{order.executed.comm}"
)
self.buyprice = order.executed.price
self.buycomm = order.executed.comm
else:
self.log(
f"卖出:\n价格:{order.executed.price},\
成本: {order.executed.value},\
手续费{order.executed.comm}"
)
self.bar_executed = len(self)
elif order.status in [order.Canceled, order.Margin, order.Rejected]:
self.log("交易失败") # 指令取消/交易失败, 报告结果
self.order = None
def notify_trade(self, trade): # 记录交易收益情况
if not trade.isclosed:
return
self.log(f"策略收益:\n毛收益 {trade.pnl:.2f}, 净收益 {trade.pnlcomm:.2f}")
def stop(self): # 回测结束后输出结果
self.log("(BOLL线: %2d日) 期末总资金 %.2f" %
(self.params.nk, self.broker.getvalue()), do_print=True)
code = "600036" # 股票代码
start_cash = 1000000 # 初始自己为1000000
stake = 100 # 单次交易数量为1手
commfee = 0.0005 # 佣金为万5
sdate = '20210101' # 回测时间段
edate = '20220930'
cerebro = bt.Cerebro() # 创建回测系统实例
# 利用AKShare获取股票的前复权数据的前6列
# df_qfq = ak.stock_zh_a_hist(
# symbol=code, adjust="qfq", start_date=sdate, end_date=edate).iloc[:, :6]
# 日期 开盘 收盘 最高 最低 成交量
# 0 2021-01-04 40.46 40.40 41.01 39.25 1549523
# 1 2021-01-05 39.99 39.41 40.03 38.67 1387177
# 2 2021-01-06 39.33 41.38 41.43 39.23 1200646
# 3 2021-01-07 41.52 43.13 43.20 41.49 1078322
# 4 2021-01-08 43.52 43.83 44.25 43.04 1299595
# .. ... ... ... ... ... ...
# 420 2022-09-26 34.02 33.95 34.52 33.84 525491
# 421 2022-09-27 33.89 33.90 34.05 33.44 475414
# 422 2022-09-28 33.79 33.67 34.00 33.42 487299
# 423 2022-09-29 33.99 33.15 34.32 33.00 617859
# 424 2022-09-30 33.26 33.65 33.95 33.12 539717
tag = 'btc'
symbol = tag.upper() + '/USDT'
df_qfq = common.getDataFromDb_DF('15m', tag.lower())
print(df_qfq)
# # 处理字段命名,以符合Backtrader的要求
# df_qfq.columns = ['date', 'open', 'close', 'high', 'low', 'volume', ]
# # 把date作为日期索引,以符合Backtrader的要求
# df_qfq.index = pd.to_datetime(df_qfq['date'])
# start_date = datetime.strptime(sdate, "%Y%m%d") # 转换日期格式
# end_date = datetime.strptime(edate, "%Y%m%d")
start_date = datetime(2023, 4, 6)
end_date = datetime(2023, 4, 9)
data = bt.feeds.PandasData(dataname=df_qfq, fromdate=start_date,
todate=end_date) # 规范化数据格式
cerebro.adddata(data) # 加载数据
cerebro.addstrategy(BollStrategy, nk=13, printlog=True) # 加载交易策略
cerebro.broker.setcash(start_cash) # broker设置资金
cerebro.broker.setcommission(commission=commfee) # broker手续费
cerebro.addsizer(bt.sizers.FixedSize, stake=stake) # 设置买入数量
print("期初总资金: %.2f" % start_cash)
cerebro.run() # 运行回测
end_value = cerebro.broker.getvalue() # 获取回测结束后的总资金
print("期末总资金: %.2f" % end_value)
# cerebro.plot(style='candle')

@ -0,0 +1,61 @@
# coding:utf-8
import pandas as pd
import matplotlib.pyplot as plt
from catalyst import run_algorithm
from catalyst.api import order, record, symbol
'''
cd /Users/midoks/Desktop/mwdev/server/mdserver-web && source bin/activate
cd /www/server/mdserver-web && source bin/activate && source activate catalys
cd /Users/midoks/Desktop/mwdev/server/mdserver-web && python3 plugins/cryptocurrency_trade/ccxt/test/p_test.py
catalyst ingest-exchange -x binance -i btc_usdt -f minute
cd /www/server/mdserver-web && python3 plugins/cryptocurrency_trade/ccxt/test/p_test.py
'''
def initialize(context):
# 初始化
context.asset = symbol('btc_usdt')
def handle_data(context, data):
# 循环策略
order(context.asset, 1)
record(btc=data.current(context.asset, 'price'))
def analyze(context, perf):
print(perf.portfolio_value)
ax1 = plt.subplot(211)
perf.portfolio_value.plot(ax=ax1)
ax1.set_ylabel('portfolio value')
ax2 = plt.subplot(212, sharex=ax1)
perf.btc.plot(ax=ax2)
ax2.set_ylabel('bitcoin value')
plt.show()
if __name__ == "__main__":
run_algorithm(
capital_base=10000,
data_frequency='daily',
initialize=initialize,
handle_data=handle_data,
analyze=analyze,
exchange_name='binance',
quote_currenty='usdt',
start=pd.to_datetime("2018-01-01", utc=True),
end=pd.to_datetime("2018-10-01", utc=True),
)

@ -0,0 +1,9 @@
CREATE TABLE IF NOT EXISTS `ct_xx1_xx2` (
`addtime` BIGINT(20) not NULL,
`open` float NOT NULL,
`high` float NOT NULL,
`low` float NOT NULL,
`close` float NOT NULL,
`vol` float NOT NULL,
UNIQUE KEY `addtime` (`addtime`)
);

@ -0,0 +1,11 @@
CREATE TABLE IF NOT EXISTS `ct_order_list` (
`id` BIGINT(20) not NULL,
'strategy_name' varchar(50) NULL,
`symbol` varchar(50) NOT NULL,
`fee` float NOT NULL,
`price` float NOT NULL,
`closing_price` float NOT NULL comment '',
`profit` float NOT NULL,
`source` TEXT,
`addtime` BIGINT(20) not NULL
);

@ -0,0 +1,14 @@
[program:{$NAME}]
command=bash -c "cd {$RUN_ROOT} && source bin/activate && python3 {$ABS_FILE} long"
directory={$RUN_ROOT}
autorestart=true
startsecs=3
startretries=3
stdout_logfile={$SUP_ROOT}/log/{$NAME}.out.log
stderr_logfile={$SUP_ROOT}/log/{$NAME}.err.log
stdout_logfile_maxbytes=2MB
stderr_logfile_maxbytes=2MB
user=root
priority=999
numprocs=1
process_name=%(program_name)s

@ -0,0 +1,14 @@
[program:{$NAME}]
command=bash -c "cd {$RUN_ROOT} && source bin/activate && python3 plugins/cryptocurrency_trade/ccxt/public_data/data.py long"
directory={$RUN_ROOT}
autorestart=true
startsecs=3
startretries=3
stdout_logfile={$SUP_ROOT}/log/{$NAME}.out.log
stderr_logfile={$SUP_ROOT}/log/{$NAME}.err.log
stdout_logfile_maxbytes=2MB
stderr_logfile_maxbytes=2MB
user=root
priority=999
numprocs=1
process_name=%(program_name)s

@ -0,0 +1,350 @@
# coding:utf-8
import sys
import io
import os
import time
import re
import string
import subprocess
import json
web_dir = os.getcwd() + "/web"
if os.path.exists(web_dir):
sys.path.append(web_dir)
os.chdir(web_dir)
import core.mw as mw
app_debug = False
if mw.isAppleSystem():
app_debug = True
def getPluginName():
return 'cryptocurrency_trade'
def getPluginDir():
return mw.getPluginDir() + '/' + getPluginName()
def getServerDir():
return mw.getServerDir() + '/' + getPluginName()
def contentReplace(content):
service_path = mw.getServerDir()
content = content.replace('{$ROOT_PATH}', mw.getFatherDir())
content = content.replace('{$SERVER_PATH}', service_path)
content = content.replace(
'{$SERVER_APP}', service_path + '/' + getPluginName())
return content
def getArgs():
args = sys.argv[2:]
tmp = {}
args_len = len(args)
if args_len == 1:
t = args[0].strip('{').strip('}')
if t.strip() == '':
tmp = []
else:
t = t.split(':', 1)
tmp[t[0]] = t[1]
tmp[t[0]] = t[1]
elif args_len > 1:
for i in range(len(args)):
t = args[i].split(':', 1)
tmp[t[0]] = t[1]
return tmp
def checkArgs(data, ck=[]):
for i in range(len(ck)):
if not ck[i] in data:
return (False, mw.returnJson(False, '参数:(' + ck[i] + ')没有!'))
return (True, mw.returnJson(True, 'ok'))
def isSqlError(mysqlMsg):
# 检测数据库执行错误
mysqlMsg = str(mysqlMsg)
if "MySQLdb" in mysqlMsg:
return mw.returnJson(False, 'MySQLdb组件缺失! <br>进入SSH命令行输入: pip install mysql-python | pip install mysqlclient==2.0.3')
if "2002," in mysqlMsg:
return mw.returnJson(False, '数据库连接失败,请检查数据库服务是否启动!')
if "2003," in mysqlMsg:
return mw.returnJson(False, "Can't connect to MySQL server on '127.0.0.1' (61)")
if "using password:" in mysqlMsg:
return mw.returnJson(False, '数据库密码错误')
if "1045" in mysqlMsg:
return mw.returnJson(False, '连接错误!')
if "SQL syntax" in mysqlMsg:
return mw.returnJson(False, 'SQL语法错误!')
if "Connection refused" in mysqlMsg:
return mw.returnJson(False, '数据库连接失败,请检查数据库服务是否启动!')
if "1133," in mysqlMsg:
return mw.returnJson(False, '数据库用户不存在!')
if "1007," in mysqlMsg:
return mw.returnJson(False, '数据库已经存在!')
return None
def getConfigData():
cfg_path = getServerDir() + "/data.cfg"
if not os.path.exists(cfg_path):
mw.writeFile(cfg_path, '{}')
t = mw.readFile(cfg_path)
return json.loads(t)
def writeConf(data):
cfg_path = getServerDir() + "/data.cfg"
mw.writeFile(cfg_path, json.dumps(data))
return True
def getDbConf():
data = getConfigData()
if 'db' in data:
return mw.returnJson(True, 'ok', data['db'])
return mw.returnJson(False, 'ok', {})
def getUserConf():
data = getConfigData()
if 'user' in data:
return mw.returnJson(True, 'ok', data['user'])
return mw.returnJson(False, 'ok', {})
def restartSup():
cmd = 'python3 plugins/supervisor/index.py restart'
mw.execShell(cmd)
def restartSupDst(name):
cmd = 'python3 plugins/supervisor/index.py restart_job {"name":"' + \
name + '","status":"stop"}'
mw.execShell(cmd)
def syncDataAddTaskUninstall():
sup_path = mw.getServerDir() + '/supervisor'
if not os.path.exists(sup_path):
return mw.returnJson(False, '需要安装并启动supervisor插件')
name = "ct_task"
sup_task_dst = sup_path + '/conf.d/' + name + '.ini'
if os.path.exists(sup_task_dst):
mw.execShell('rm -rf ' + sup_task_dst)
restartSup()
return mw.returnJson(True, '删除同步数据任务成功!')
def syncDataAddTaskInstall():
sup_path = mw.getServerDir() + '/supervisor'
if not os.path.exists(sup_path):
return mw.returnJson(False, '需要安装并启动supervisor插件')
name = "ct_task"
sup_task_tpl = getPluginDir() + '/conf/sup_task.tpl'
sup_task_dst = sup_path + '/conf.d/' + name + '.ini'
content = mw.readFile(sup_task_tpl)
content = content.replace(
'{$RUN_ROOT}', mw.getServerDir() + '/mdserver-web')
content = content.replace(
'{$SUP_ROOT}', sup_path)
content = content.replace(
'{$NAME}', name)
mw.writeFile(sup_task_dst, content)
restartSup()
return mw.returnJson(True, '添加同步数据任务成功!')
def syncDataAddTask():
args = getArgs()
data_args = checkArgs(args, ['check'])
if not data_args[0]:
return data_args[1]
if args['check'] == "0":
return syncDataAddTaskUninstall()
return syncDataAddTaskInstall()
def syncDataDelete():
args = getArgs()
data_args = checkArgs(args, ['token'])
if not data_args[0]:
return data_args[1]
del_token = args['token']
data = getConfigData()
if 'token' in data:
data['token'].remove(del_token)
writeConf(data)
return mw.returnJson(True, '删除成功!')
# callback ---------------------------------- start
def get_datasource_logs(args):
log_file = getServerDir() + '/logs/datasource.log'
if not os.path.exists(log_file):
return '暂无日志'
data = mw.getLastLine(log_file, 10)
return data
def get_strategy_logs(args):
log_file = getServerDir() + '/logs/strategy.log'
if not os.path.exists(log_file):
return '暂无日志'
data = mw.getLastLine(log_file, 10)
return data
def save_body(args):
path = args['path']
encoding = args['encoding']
data = args['data']
tag = args['tag']
if not os.path.exists(path):
return mw.returnData(False, '文件不存在')
try:
if encoding == 'ascii':
encoding = 'utf-8'
data = data.encode(
encoding, errors='ignore').decode(encoding)
fp = open(path, 'w+', encoding=encoding)
fp.write(data)
fp.close()
set_strategy_restart({'id': tag})
return mw.returnData(True, '文件保存成功')
except Exception as ex:
return mw.returnData(False, '文件保存错误:' + str(ex))
def get_strategy_path(args):
abs_id = args['id']
name = "ct_strategy_" + abs_id
abs_file = get_strategy_absfile(abs_id)
return mw.returnData(True, abs_file)
def set_strategy_restart(args):
sup_path = mw.getServerDir() + '/supervisor'
if not os.path.exists(sup_path):
return mw.returnData(False, '需要安装并启动supervisor插件')
abs_id = args['id']
name = "ct_strategy_" + abs_id
sup_strategy_dst = sup_path + '/conf.d/' + name + '.ini'
if not os.path.exists(sup_strategy_dst):
return mw.returnData(False, '策略任务' + abs_id + '未添加!')
restartSupDst(name)
return mw.returnData(True, '重启策略任务' + abs_id + '成功!')
def set_strategy_status(args):
sup_path = mw.getServerDir() + '/supervisor'
if not os.path.exists(sup_path):
return mw.returnData(False, '需要安装并启动supervisor插件')
abs_id = args['id']
name = "ct_strategy_" + abs_id
sup_strategy_dst = sup_path + '/conf.d/' + name + '.ini'
if args['status'] == 'stop':
if os.path.exists(sup_strategy_dst):
os.remove(sup_strategy_dst)
restartSup()
return mw.returnData(True, '删除策略任务' + abs_id + '成功!')
abs_file = get_strategy_absfile(abs_id)
sup_strategy_tpl = getPluginDir() + '/conf/sup_strategy.tpl'
content = mw.readFile(sup_strategy_tpl)
content = content.replace(
'{$RUN_ROOT}', mw.getServerDir() + '/mdserver-web')
content = content.replace(
'{$SUP_ROOT}', sup_path)
content = content.replace(
'{$NAME}', name)
content = content.replace(
'{$ABS_FILE}', abs_file)
mw.writeFile(sup_strategy_dst, content)
restartSup()
return mw.returnData(True, '添加策略任务' + abs_id + '成功!')
def get_strategy_absfile(abs_id):
info = getPluginDir() + '/ccxt/strategy/info.json'
info = json.loads(mw.readFile(info))
path = getPluginDir() + '/ccxt/strategy'
for x in range(len(info)):
if info[x]['id'] == abs_id:
return path + '/' + info[x]['file']
return path + '/abs.py'
def get_strategy_list(args):
info = getPluginDir() + '/ccxt/strategy/info.json'
info = json.loads(mw.readFile(info))
st_path = mw.getServerDir() + '/supervisor/conf.d'
page = 1
page_size = 5
search = ''
data = {}
if 'page' in args:
page = int(args['page'])
if 'page_size' in args:
page_size = int(args['page_size'])
dlist_sum = len(info)
page_start = int((page - 1) * page_size)
page_end = page_start + page_size
if page_end >= dlist_sum:
ret_data = info[page_start:]
else:
ret_data = info[page_start:page_end]
for x in range(len(ret_data)):
strategy_dst = st_path + '/ct_strategy_' + ret_data[x]['id'] + '.ini'
if os.path.exists(strategy_dst):
ret_data[x]['status'] = 'start'
else:
ret_data[x]['status'] = 'stop'
data['data'] = ret_data
data['args'] = args
data['list'] = mw.getPage(
{'count': dlist_sum, 'p': page, 'row': page_size, 'tojs': 'getStrategyList'})
return data
# callback ---------------------------------- end

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After

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@ -0,0 +1,26 @@
<style type="text/css">
.conf_p span{width: 100px;}
.code{padding: 20px 5px;border: 1px solid #e1e1e1;background: #fcfcfc;border-radius: 4px;line-height: 24px;}
.code span {display: block;margin-left: 15px;margin-bottom: 0;}
</style>
<div class="bt-form">
<div class="bt-w-main">
<div class="bt-w-menu">
<p class="bgw" onclick="pluginService('cryptocurrency_trade');">服务</p>
<p onclick="dbConf();">数据库配置</p>
<p onclick="syncDataList();">同步数据配置</p>
<p onclick="userConf();">账户配置</p>
</div>
<div class="bt-w-con pd15">
<div class="soft-man-con"></div>
</div>
</div>
</div>
<script type="text/javascript">
// resetPluginWinWidth(480);
resetPluginWinHeight(400);
$.getScript( "/plugins/file?name=cryptocurrency_trade&f=static/js/cryptocurrency_trade.js",function(){
pluginService('cryptocurrency_trade');
});
</script>

@ -0,0 +1,347 @@
# coding:utf-8
import sys
import io
import os
import time
import re
import string
import subprocess
import json
web_dir = os.getcwd() + "/web"
if os.path.exists(web_dir):
sys.path.append(web_dir)
os.chdir(web_dir)
import core.mw as mw
app_debug = False
if mw.isAppleSystem():
app_debug = True
def getPluginName():
return 'cryptocurrency_trade'
def getPluginDir():
return mw.getPluginDir() + '/' + getPluginName()
def getServerDir():
return mw.getServerDir() + '/' + getPluginName()
def contentReplace(content):
service_path = mw.getServerDir()
content = content.replace('{$ROOT_PATH}', mw.getFatherDir())
content = content.replace('{$SERVER_PATH}', service_path)
content = content.replace(
'{$SERVER_APP}', service_path + '/' + getPluginName())
return content
def getArgs():
args = sys.argv[2:]
tmp = {}
args_len = len(args)
if args_len == 1:
t = args[0].strip('{').strip('}')
if t.strip() == '':
tmp = []
else:
t = t.split(':', 1)
tmp[t[0]] = t[1]
tmp[t[0]] = t[1]
elif args_len > 1:
for i in range(len(args)):
t = args[i].split(':', 1)
tmp[t[0]] = t[1]
return tmp
def checkArgs(data, ck=[]):
for i in range(len(ck)):
if not ck[i] in data:
return (False, mw.returnJson(False, '参数:(' + ck[i] + ')没有!'))
return (True, mw.returnJson(True, 'ok'))
def isSqlError(mysqlMsg):
# 检测数据库执行错误
mysqlMsg = str(mysqlMsg)
if "MySQLdb" in mysqlMsg:
return mw.returnJson(False, 'MySQLdb组件缺失! <br>进入SSH命令行输入: pip install mysql-python | pip install mysqlclient==2.0.3')
if "2002," in mysqlMsg:
return mw.returnJson(False, '数据库连接失败,请检查数据库服务是否启动!')
if "2003," in mysqlMsg:
return mw.returnJson(False, "Can't connect to MySQL server on '127.0.0.1' (61)")
if "using password:" in mysqlMsg:
return mw.returnJson(False, '数据库密码错误')
if "1045" in mysqlMsg:
return mw.returnJson(False, '连接错误!')
if "SQL syntax" in mysqlMsg:
return mw.returnJson(False, 'SQL语法错误!')
if "Connection refused" in mysqlMsg:
return mw.returnJson(False, '数据库连接失败,请检查数据库服务是否启动!')
if "1133" in mysqlMsg:
return mw.returnJson(False, '数据库用户不存在!')
if "1007" in mysqlMsg:
return mw.returnJson(False, '数据库已经存在!')
return None
def initDreplace():
log_dir = getServerDir() + '/logs'
if not os.path.exists(log_dir):
d = mw.execShell('mkdir -p ' + log_dir)
data = getConfigData()
data['token'] = ['btc']
writeConf(data)
return True
def status():
initDreplace()
return 'start'
def start():
syncDataAddTaskInstall()
return 'ok'
def stop():
syncDataAddTaskUninstall()
return 'ok'
def op():
return 'ok'
def getConfigData():
cfg_path = getServerDir() + "/data.cfg"
if not os.path.exists(cfg_path):
mw.writeFile(cfg_path, '{}')
t = mw.readFile(cfg_path)
return json.loads(t)
def writeConf(data):
cfg_path = getServerDir() + "/data.cfg"
mw.writeFile(cfg_path, json.dumps(data))
return True
def getDbConf():
data = getConfigData()
if 'db' in data:
return mw.returnJson(True, 'ok', data['db'])
return mw.returnJson(False, 'ok', {})
def setDbConf():
args = getArgs()
data_args = checkArgs(args, ['db_host', 'db_port',
'db_name', 'db_user', 'db_pass'])
if not data_args[0]:
return data_args[1]
data = getConfigData()
data['db'] = args
writeConf(data)
db = mw.getMyORM()
db.setHost(args['db_host'])
db.setPort(args['db_port'])
db.setUser(args['db_user'])
db.setPwd(args['db_pass'])
testdata = db.query('select version()')
isError = isSqlError(testdata)
if isError != None:
return isError
return mw.returnJson(True, '保存成功,并连通成功!', [])
def getUserConf():
data = getConfigData()
if 'user' in data:
return mw.returnJson(True, 'ok', data['user'])
return mw.returnJson(False, 'ok', {})
def getUserConf():
data = getConfigData()
if 'user' in data:
try:
udata = mw.deDoubleCrypt('mw', data['user'])
udata = json.loads(udata)
return mw.returnJson(True, 'ok', udata)
except Exception as e:
pass
return mw.returnJson(False, 'ok', {})
def setUserConf():
args = getArgs()
data_args = checkArgs(args, ['app_key', 'secret',
'password', 'uid', 'exchange'])
if not data_args[0]:
return data_args[1]
data = getConfigData()
data['user'] = mw.enDoubleCrypt('mw', json.dumps(args))
writeConf(data)
return mw.returnJson(True, '保存成功!', [])
def syncDataList():
data = getConfigData()
name = "ct_task"
if 'token' in data:
rdata = {}
rdata['task_status'] = False
sup_path = mw.getServerDir() + '/supervisor'
sup_task_dst = sup_path + '/conf.d/' + name + '.ini'
if os.path.exists(sup_task_dst):
rdata['task_status'] = True
rdata['list'] = data['token']
return mw.returnJson(True, 'ok', rdata)
return mw.returnJson(False, 'ok')
def syncDataAdd():
args = getArgs()
data_args = checkArgs(args, ['token'])
if not data_args[0]:
return data_args[1]
add_token = args['token']
data = getConfigData()
if 'token' in data and data['token']:
if not add_token in data['token']:
data['token'].append(add_token)
else:
data['token'] = [add_token]
writeConf(data)
return mw.returnJson(True, '保存成功!')
def restartSup():
cmd = 'python3 plugins/supervisor/index.py restart'
mw.execShell(cmd)
def restartSupDst(name):
cmd = 'python3 plugins/supervisor/index.py restart_job {"name":"' + \
name + '","status":"stop"}'
mw.execShell(cmd)
def syncDataAddTaskUninstall():
sup_path = mw.getServerDir() + '/supervisor'
if not os.path.exists(sup_path):
return mw.returnJson(False, '需要安装并启动supervisor插件')
name = "ct_task"
sup_task_dst = sup_path + '/conf.d/' + name + '.ini'
if os.path.exists(sup_task_dst):
mw.execShell('rm -rf ' + sup_task_dst)
restartSup()
return mw.returnJson(True, '删除同步数据任务成功!')
def syncDataAddTaskInstall():
sup_path = mw.getServerDir() + '/supervisor'
if not os.path.exists(sup_path):
return mw.returnJson(False, '需要安装并启动supervisor插件')
name = "ct_task"
sup_task_tpl = getPluginDir() + '/conf/sup_task.tpl'
sup_task_dst = sup_path + '/conf.d/' + name + '.ini'
content = mw.readFile(sup_task_tpl)
content = content.replace(
'{$RUN_ROOT}', mw.getServerDir() + '/mdserver-web')
content = content.replace(
'{$SUP_ROOT}', sup_path)
content = content.replace(
'{$NAME}', name)
mw.writeFile(sup_task_dst, content)
restartSup()
return mw.returnJson(True, '添加同步数据任务成功!')
def syncDataAddTask():
args = getArgs()
data_args = checkArgs(args, ['check'])
if not data_args[0]:
return data_args[1]
if args['check'] == "0":
return syncDataAddTaskUninstall()
return syncDataAddTaskInstall()
def syncDataDelete():
args = getArgs()
data_args = checkArgs(args, ['token'])
if not data_args[0]:
return data_args[1]
del_token = args['token']
data = getConfigData()
if 'token' in data:
data['token'].remove(del_token)
writeConf(data)
return mw.returnJson(True, '删除成功!')
if __name__ == "__main__":
func = sys.argv[1]
if func == 'status':
print(status())
elif func == 'start':
print(start())
elif func == 'stop':
print(stop())
elif func == 'restart':
print(op())
elif func == 'reload':
print(op())
elif func == 'get_db_conf':
print(getDbConf())
elif func == 'set_db_conf':
print(setDbConf())
elif func == 'get_user_conf':
print(getUserConf())
elif func == 'set_user_conf':
print(setUserConf())
elif func == 'sync_data_list':
print(syncDataList())
elif func == 'sync_data_add':
print(syncDataAdd())
elif func == 'sync_data_delete':
print(syncDataDelete())
elif func == 'sync_data_add_task':
print(syncDataAddTask())
else:
print('error')

@ -0,0 +1,36 @@
{
"hook":[
{
"tag":"menu",
"menu": {
"title":"量化交易",
"name":"cryptocurrency_trade",
"path":"static/html/index.html",
"css_path":"static/css/cryptocurrency_trade.css",
"js_path":"static/js/cryptocurrency_trade.js"
}
},
{
"tag":"global_static",
"global_static": {
"title":"量化交易",
"name":"cryptocurrency_trade",
"css_path":"static/css/ico.css"
}
}
],
"ps": "基于CCXT的数字货币量化交易插件",
"name": "cryptocurrency_trade",
"title": "量化交易",
"versions": ["1.0"],
"tip": "soft",
"checks": "server/cryptocurrency_trade",
"path":"server/cryptocurrency_trade",
"author": "midoks",
"date": "2022-02-25",
"home": "https://github.com/ccxt/ccxt",
"type": "量化交易",
"shell": "install.sh",
"pid": "5",
"sort": 7
}

@ -0,0 +1,63 @@
#!/bin/bash
PATH=/bin:/sbin:/usr/bin:/usr/sbin:/usr/local/bin:/usr/local/sbin:~/bin
export PATH
# cd /www/server/mdserver-web/plugins/cryptocurrency_trade && bash install.sh install
curPath=`pwd`
rootPath=$(dirname "$curPath")
rootPath=$(dirname "$rootPath")
serverPath=$(dirname "$rootPath")
VERSION=$2
# pip3 install ccxt
if [ -f ${rootPath}/bin/activate ];then
source ${rootPath}/bin/activate
fi
pip3 install ccxt
pip3 install pandas
pip3 install pandas_ta
pip3 install pyTelegramBotAPI
pip3 install catalyst
pip3 install matplotlib==3.2.2
Install_App()
{
echo '正在安装脚本文件...'
mkdir -p $serverPath/source/cryptocurrency_trade
mkdir -p $serverPath/cryptocurrency_trade
echo "${VERSION}" > $serverPath/cryptocurrency_trade/version.pl
if [ ! -f $serverPath/source/cryptocurrency_trade/ta-lib-0.4.0-src.tar.gz ];then
wget -O $serverPath/source/cryptocurrency_trade/ta-lib-0.4.0-src.tar.gz https://sourceforge.net/projects/ta-lib/files/ta-lib/0.4.0/ta-lib-0.4.0-src.tar.gz
fi
if [ ! -d $serverPath/source/cryptocurrency_trade/ta-lib ];then
cd $serverPath/source/cryptocurrency_trade/ta-lib && tar -xzf ta-lib-0.4.0-src.tar.gz
cd ta-lib && ./configure --prefix=/usr && make && make install
rm -rf $serverPath/source/cryptocurrency_trade/ta-lib
pip3 install ta-lib
fi
cd ${rootPath} && python3 ${rootPath}/plugins/cryptocurrency_trade/index.py start
echo '安装完成'
}
Uninstall_App()
{
rm -rf $serverPath/cryptocurrency_trade
cd ${rootPath} && python3 ${rootPath}/plugins/cryptocurrency_trade/index.py stop
echo "卸载完成"
}
action=$1
if [ "${1}" == 'install' ];then
Install_App
else
Uninstall_App
fi

@ -0,0 +1,11 @@
.screen-all {
padding: 5px;
}
.s-right .panel-default{
margin-bottom: 10px;
}
.s-left .panel-default{
margin-bottom: 10px;
}

@ -0,0 +1,11 @@
/* menu start */
.menu .current .menu_plugin_cryptocurrency_trade:hover {
background-image: url("/plugins/file?name=cryptocurrency_trade&f=ico.png");
}
.menu .menu_plugin_cryptocurrency_trade {
background-image: url("/plugins/file?name=cryptocurrency_trade&f=ico.png");
}
/* menu end */

@ -0,0 +1,65 @@
<div class="main-content">
<div class="screen-all">
<div class="content-screen safe bgw mtb15 ptb10 radius4 row" style="height: 300px;">
<!-- start -->
<div class="s-left col-md-8" style="padding-left: 2.5px;padding-right: 5px; overflow-y: scroll;height: 400px;">
<div class="panel panel-default">
<div class="panel-heading">订单数据</div>
<div class="panel-body">Panel content</div>
</div>
<div class="panel panel-default">
<div class="panel-heading">交易图表</div>
<div class="panel-body" style="padding: 0px;">
<div></div>
<div id="k_echarts" style="width: auto;height:400px;"></div>
</div>
</div>
<div class="panel panel-default">
<div class="panel-heading">策略交易日志</div>
<div class="panel-body" style="padding: 0px;">
<pre id="strategy_log" style="border:none;font-size:12px;white-space: pre;margin: 0px;width: auto;height: 200px;background-color: #333;color:#fff; padding:0 5px">当前没有日志.</pre>
</div>
</div>
</div>
<div class="s-right col-md-4" style="padding-left: 2.5px;padding-right: 5px; overflow-y: scroll;height: 400px;">
<div class="panel panel-default">
<div class="panel-heading">策略配置</div>
<div class="panel-body divtable pd15 relative" style="padding: 2px 2px 5px;">
<table class="table table-hover" width="100%" cellspacing="0" cellpadding="0" border="0">
<thead>
<tr>
<th width="20">序列</th>
<th width="120">说明</th>
<th width="10">状态</th>
<th style="text-align: right;" width="50">操作</th>
</tr>
</thead>
<tbody id="strategy_list"></tbody>
</table>
<div class="dataTables_paginate paging_bootstrap pagination">
<ul id="strategy_list_page" class="page"></ul>
</div>
</div>
</div>
<div class="panel panel-default">
<div class="panel-heading">数据源日志</div>
<div class="panel-body" style="padding: 0px;">
<pre id="datasource_log" style="border:none;font-size:12px;white-space: pre;margin: 0px;width: auto;height: 200px;background-color: #333;color:#fff; padding:0 5px">当前没有日志.</pre>
</div>
</div>
</div>
<!-- end -->
</div>
</div>
</div>

@ -0,0 +1,964 @@
function appPost(method,args,callback, title){
var _args = null;
if (typeof(args) == 'string'){
_args = JSON.stringify(toArrayObject(args));
} else {
_args = JSON.stringify(args);
}
var _title = '正在获取...';
if (typeof(title) != 'undefined'){
_title = title;
}
var loadT = layer.msg(_title, { icon: 16, time: 0, shade: 0.3 });
$.post('/plugins/run', {name:'cryptocurrency_trade', func:method, args:_args}, function(data) {
layer.close(loadT);
if (!data.status){
layer.msg(data.msg,{icon:0,time:2000,shade: [0.3, '#000']});
return;
}
if(typeof(callback) == 'function'){
callback(data);
}
},'json');
}
function appPostN(method,args,callback, title){
var _args = null;
if (typeof(args) == 'string'){
_args = JSON.stringify(toArrayObject(args));
} else {
_args = JSON.stringify(args);
}
var _title = '正在获取...';
if (typeof(title) != 'undefined'){
_title = title;
}
$.post('/plugins/run', {name:'cryptocurrency_trade', func:method, args:_args}, function(data) {
if(typeof(callback) == 'function'){
callback(data);
}
},'json');
}
function appAsyncPost(method,args){
var _args = null;
if (typeof(args) == 'string'){
_args = JSON.stringify(toArrayObject(args));
} else {
_args = JSON.stringify(args);
}
var loadT = layer.msg('正在获取...', { icon: 16, time: 0, shade: 0.3 });
return syncPost('/plugins/run', {name:'cryptocurrency_trade', func:method, args:_args});
}
function appPostCallbak(method, args,callback, script){
var loadT = layer.msg('正在获取...', { icon: 16, time: 0, shade: 0.3 });
var req_data = {};
req_data['name'] = 'cryptocurrency_trade';
req_data['func'] = method;
if (typeof(script) != 'undefined'){
req_data['script'] = script;
}
if (typeof(args) == 'string'){
req_data['args'] = JSON.stringify(toArrayObject(args));
} else {
req_data['args'] = JSON.stringify(args);
}
$.post('/plugins/callback', req_data, function(data) {
layer.close(loadT);
if (!data.status){
layer.msg(data.msg,{icon:0,time:2000,shade: [0.3, '#000']});
return;
}
if(typeof(callback) == 'function'){
callback(data);
}
},'json');
}
function appPostCallbakNoMsg(method, args,callback, script){
var req_data = {};
req_data['name'] = 'cryptocurrency_trade';
req_data['func'] = method;
if (typeof(script) != 'undefined'){
req_data['script'] = script;
} else {
req_data['script'] = req_data['name'];
}
if (typeof(args) == 'string'){
req_data['args'] = JSON.stringify(toArrayObject(args));
} else {
req_data['args'] = JSON.stringify(args);
}
$.post('/plugins/callback', req_data, function(data) {
if (!data.status){
layer.msg(data.msg,{icon:0,time:2000,shade: [0.3, '#000']});
return;
}
if(typeof(callback) == 'function'){
callback(data);
}
},'json');
}
function dbConf(){
appPost('get_db_conf','',function(data){
var rdata = $.parseJSON(data.data);
// console.log(rdata);
var db_host = '127.0.0.1';
var db_port = '3306';
var db_name = 'cryptocurrency_trade';
var db_user = 'cryptocurrency_trade';
var db_pass = 'cryptocurrency_trade';
if(rdata['status']){
db_data = rdata['data'];
db_host = db_data['db_host'];
db_port = db_data['db_port'];
db_name = db_data['db_name'];
db_user = db_data['db_user'];
db_pass = db_data['db_pass'];
}
var mlist = '';
mlist += '<p><span>数据库地址</span><input style="width: 250px;" class="bt-input-text mr5" name="db_host" value="'+db_host+'" type="text"></p>'
mlist += '<p><span>数据库端口</span><input style="width: 250px;" class="bt-input-text mr5" name="db_port" value="'+db_port+'" type="text"></p>'
mlist += '<p><span>数据库名称</span><input style="width: 250px;" class="bt-input-text mr5" name="db_name" value="'+db_name+'" type="text"></p>'
mlist += '<p><span>用户名</span><input style="width: 250px;" class="bt-input-text mr5" name="db_user" value="'+db_user+'" type="text"></p>'
mlist += '<p><span>密码</span><input style="width: 250px;" class="bt-input-text mr5" name="db_pass" value="'+db_pass+'" type="text"></p>'
var option = '<style>.conf_p p{margin-bottom: 2px}</style>\
<div class="conf_p" style="margin-bottom:0">\
' + mlist + '\
<div style="margin-top:10px; padding-right:15px" class="text-right">\
<button class="btn btn-success btn-sm" onclick="submitDbConf()">保存</button>\
</div>\
</div>';
$(".soft-man-con").html(option);
});
}
function submitDbConf(){
var pull_data = {};
pull_data['db_host'] = $('input[name="db_host"]').val();
pull_data['db_port'] = $('input[name="db_port"]').val();
pull_data['db_name'] = $('input[name="db_name"]').val();
pull_data['db_user'] = $('input[name="db_user"]').val();
pull_data['db_pass'] = $('input[name="db_pass"]').val();
appPost('set_db_conf',pull_data,function(data){
var rdata = $.parseJSON(data.data);
layer.msg(rdata['msg'],{icon:rdata['status']?1:2,time:2000,shade: [0.3, '#000']});
});
}
function userConf(){
appPost('get_user_conf','',function(data){
var rdata = $.parseJSON(data.data);
var app_key = 'app_key';
var secret = 'secret';
var password = 'password';
var uid = 'uid';
var exchange = 'okex';
if(rdata['status']){
db_data = rdata['data'];
app_key = db_data['app_key'];
secret = db_data['secret'];
password = db_data['password'];
uid = db_data['uid'];
exchange = db_data['exchange'];;
}
var mlist = '';
mlist += '<p><span>交易所</span><input style="width: 250px;" class="bt-input-text mr5" name="exchange" value="'+exchange+'" type="text"><font>必填写[okex, binance]</font></p>'
mlist += '<p><span>apiKey</span><input style="width: 250px;" class="bt-input-text mr5" name="app_key" value="'+app_key+'" type="text"><font>必填写</font></p>'
mlist += '<p><span>secret</span><input style="width: 250px;" class="bt-input-text mr5" name="secret" value="'+secret+'" type="text"><font>必填写</font></p>'
mlist += '<p><span>password</span><input style="width: 250px;" class="bt-input-text mr5" name="password" value="'+password+'" type="text"><font>根据情况填写</font></p>'
mlist += '<p><span>uid</span><input style="width: 250px;" class="bt-input-text mr5" name="uid" value="'+uid+'" type="text"><font>根据情况填写</font></p>'
var option = '<style>.conf_p p{margin-bottom: 2px}</style>\
<div class="conf_p" style="margin-bottom:0">\
' + mlist + '\
<div style="margin-top:10px; padding-right:15px" class="text-right">\
<button class="btn btn-success btn-sm" onclick="submitUserConf()">保存</button>\
</div>\
</div>';
$(".soft-man-con").html(option);
});
}
function submitUserConf(){
var pull_data = {};
pull_data['app_key'] = $('input[name="app_key"]').val();
pull_data['secret'] = $('input[name="secret"]').val();
pull_data['password'] = $('input[name="password"]').val();
pull_data['uid'] = $('input[name="uid"]').val();
pull_data['exchange'] = $('input[name="exchange"]').val();
appPost('set_user_conf',pull_data,function(data){
var rdata = $.parseJSON(data.data);
layer.msg(rdata['msg'],{icon:rdata['status']?1:2,time:2000,shade: [0.3, '#000']});
});
}
function syncDataList(){
appPost('sync_data_list', {}, function(data){
var rdata = $.parseJSON(data.data);
var list = '';
if (rdata['status']){
var dlist = rdata['data']['list'];
for(i in dlist){
list += '<tr>';
list += '<td>' + dlist[i] +'</td>';
list += '<td style="text-align:right">' +
'<a href="javascript:;" class="btlink" onclick="syncDataDelete(\''+dlist[i]+'\')" title="删除">删除</a>' +
'</td>';
list += '</tr>';
}
}
if( list == '' ){
list = "<tr><td colspan='2'>当前没有数据</td></tr>";
}
var task_status = rdata['data']['task_status'];
var task_status_check = '';
if (task_status){
task_status_check = 'checked';
}
var con = '<div class="safe bgw">\
<div>\
<button onclick="syncDataAdd()" title="添加币种" class="btn btn-success btn-sm" type="button" style="margin-right: 5px;">添加币种</button>\
<div class="ss-text pull-left mr50">\
<em>是否启动</em>\
<div class="ssh-item">\
<input class="btswitch btswitch-ios" id="add_task" type="checkbox" '+task_status_check+'>\
<label class="btswitch-btn" for="add_task" onclick="syncDataAddTask()"></label>\
</div>\
</div>\
</div>\
<div class="divtable mtb10">\
<div class="tablescroll">\
<table id="DataBody" class="table table-hover" width="100%" cellspacing="0" cellpadding="0" border="0" style="border: 0 none;">\
<thead>\
<th>名称</th>\
<th style="text-align:right;">操作</th></tr>\
</thead>\
<tbody>'+ list +'</tbody>\
</table>\
</div>\
</div>\
</div>';
con += '<div class="code">\
<span>详细如下</span>\
<span>*添加同步的币种,都小写,以USDT为本币同步数据</span>\
<span>*需要提前安装supervisor插件</span>\
</div>'
$(".soft-man-con").html(con);
$('#databasePage').html(rdata.page);
});
}
function syncDataAddTask(){
var at_check = $('#add_task').prop('checked');
appPost("sync_data_add_task", {'check':at_check?'0':'1'}, function(data){
rdata = $.parseJSON(data.data);
showMsg(rdata.msg,function(){
if (rdata.status){
syncDataList();
}
},{icon:rdata.status?1:2});
});
}
function syncDataDelete(name){
appPost("sync_data_delete", {"token":name}, function(data){
rdata = $.parseJSON(data.data);
showMsg(rdata.msg,function(){
if (rdata.status){
syncDataList();
}
},{icon:rdata.status?1:2});
});
}
function syncDataAdd() {
layer.open({
type: 1,
area: '500px',
title: '添加同步数据',
closeBtn: 2,
shift: 0,
shadeClose: false,
btn: ['确定', '取消'],
content: "<div class='bt_conter bt-form pd15' style='height:auto;width:100%;'>\
<div class='line'>\
<span class='tname'>名称</span>\
<div class='info-r c4'>\
<input id='name' class='bt-input-text' type='text' name='name' placeholder='请输入名称' style='width:270px' />\
</div>\
</div>\
<ul class='help-info-text c7' style='padding-left: 29px;margin-top:5px;'>\
<li style='color:#F00'>注意币种名称用小写</li>\
</ul>\
</div>",
yes: function(index, layero){
var token = $('input[name="name"]').val();
appPost("sync_data_add", {"token":token}, function(data){
rdata = $.parseJSON(data.data);
showMsg(rdata.msg,function(){
if (rdata.status){
layer.close(index);
syncDataList();
}
},{icon:rdata.status?1:2});
})
return;
}
});
}
function onlineEditStrategyFile(k, f, tag) {
if(k != 0) {
var l = $("#PathPlace input").val();
var h = $("#textBody").val();
var a = $("select[name=encoding]").val();
var loadT = layer.msg("正在保存中...", {icon: 16,time: 0});
appPostCallbakNoMsg('save_body',{'data':h,'path':f,'encoding':a,"tag":tag}, function(data){
var rdata = data.data;
showMsg(rdata.msg, function(){
if (rdata.status){
layer.close(loadT);
}
},{icon: rdata.status ? 1 : 2});
});
return
}
var e = layer.msg("正在读取文件,请稍候...", {icon: 16,time: 0});
var g = f.split(".");
var b = g[g.length - 1];
var d;
switch(b) {
case "html":
var j = {
name: "htmlmixed",
scriptTypes: [{
matches: /\/x-handlebars-template|\/x-mustache/i,
mode: null
}, {
matches: /(text|application)\/(x-)?vb(a|script)/i,
mode: "vbscript"
}]
};
d = j;
break;
case "htm":
var j = {
name: "htmlmixed",
scriptTypes: [{
matches: /\/x-handlebars-template|\/x-mustache/i,
mode: null
}, {
matches: /(text|application)\/(x-)?vb(a|script)/i,
mode: "vbscript"
}]
};
d = j;
break;
case "js":
d = "text/javascript";
break;
case "json":
d = "application/ld+json";
break;
case "css":
d = "text/css";
break;
case "php":
d = "application/x-httpd-php";
break;
case "tpl":
d = "application/x-httpd-php";
break;
case "xml":
d = "application/xml";
break;
case "sql":
d = "text/x-sql";
break;
case "conf":
d = "text/x-nginx-conf";
break;
default:
var j = {
name: "htmlmixed",
scriptTypes: [{
matches: /\/x-handlebars-template|\/x-mustache/i,
mode: null
}, {
matches: /(text|application)\/(x-)?vb(a|script)/i,
mode: "vbscript"
}]
};
d = j
}
$.post("/files/get_body", "path=" + encodeURIComponent(f), function(s) {
if(s.status === false){
layer.msg(s.msg,{icon:5});
return;
}
layer.close(e);
var u = ["utf-8", "GBK", "GB2312", "BIG5"];
var n = "";
var m = "";
var o = "";
for(var p = 0; p < u.length; p++) {
m = s.data.encoding == u[p] ? "selected" : "";
n += '<option value="' + u[p] + '" ' + m + ">" + u[p] + "</option>";
}
var code_mirror = null;
var r = layer.open({
type: 1,
shift: 5,
closeBtn: 1,
area: ["90%", "90%"],
title: "在线编辑[" + f + "]",
btn:['保存','关闭'],
content: '<form class="bt-form pd20">\
<div class="line">\
<p style="color:red;margin-bottom:10px">提示Ctrl+F 搜索关键字Ctrl+G 查找下一个Ctrl+S 保存Ctrl+Shift+R 查找替换!\
<select class="bt-input-text" name="encoding" style="width: 74px;position: absolute;top: 31px;right: 19px;height: 22px;z-index: 9999;border-radius: 0;">' + n + '</select>\
</p>\
<textarea class="mCustomScrollbar bt-input-text" id="textBody" style="width:100%;margin:0 auto;line-height: 1.8;position: relative;top: 10px;" value="" />\
</div>\
</form>',
success:function(){
$("#textBody").text(s.data.data);
var q = $(window).height() * 0.9;
$("#textBody").height(q - 160);
code_mirror = CodeMirror.fromTextArea(document.getElementById("textBody"), {
extraKeys: {
"Ctrl-F": "findPersistent",
"Ctrl-H": "replaceAll",
"Ctrl-S": function() {
$("#textBody").text(code_mirror.getValue());
onlineEditStrategyFile(2, f,tag);
},
"Cmd-S":function() {
$("#textBody").text(code_mirror.getValue());
onlineEditStrategyFile(2, f,tag);
},
},
mode: d,
lineNumbers: true,
matchBrackets: true,
matchtags: true,
autoMatchParens: true
});
code_mirror.focus();
code_mirror.setSize("auto", q - 150);
$(window).resize(function(){
var q = $(window).height() * 0.9;
code_mirror.setSize("auto", q - 150);
});
},
yes:function(){
$("#textBody").text(code_mirror.getValue());
onlineEditStrategyFile(1, f, tag);
}
});
//////////////////
},'json');
}
// ------------------------------------------------------------------------------
// ------------------------------------------------------------------------------
// 大屏页功能 --------------------------------------------------------------------
// ------------------------------------------------------------------------------
// ------------------------------------------------------------------------------
function changeDivH(){
var l = $(window).height();
$('.content-screen').css('height',l-80);
$('.s-right').css('height',l-80-10);
$('.s-left').css('height',l-80-10);
}
function dataSourceLog(){
appPostCallbakNoMsg('get_datasource_logs',{}, function(rdata){
$('#datasource_log').html(rdata.data);
});
}
function dataStrategyLog(){
appPostCallbakNoMsg('get_strategy_logs',{}, function(rdata){
$('#strategy_log').html(rdata.data);
});
}
// $('#strategy_list').find('span[data-id="01"]')
function setStrategyStatus(id,status){
appPostCallbakNoMsg('set_strategy_status',{"id":id,"status":status}, function(data){
var rdata = data.data;
showMsg(rdata.msg,function(){
if (rdata.status){
if (status == 'start'){
$('#strategy_list').find('tr[data-id="'+id+'"] td span').removeClass('glyphicon-pause').addClass('glyphicon-play').css('color','#20a53a');
} else{
$('#strategy_list').find('tr[data-id="'+id+'"] td span').removeClass('glyphicon-play').addClass('glyphicon-pause').css('color','red');
}
}
},{icon:rdata.status?1:2},2000);
});
}
function setStrategyRestart(id){
appPostCallbakNoMsg('set_strategy_restart',{"id":id}, function(data){
console.log(data);
var rdata = data.data;
showMsg(rdata.msg,function(){
if (rdata.status){
}
},{icon:rdata.status?1:2},2000);
});
}
function setStrategyEdit(id){
appPostCallbakNoMsg('get_strategy_path',{"id":id}, function(data){
onlineEditStrategyFile(0,data.data.msg,id);
});
}
function getStrategyList(p=1){
appPostCallbakNoMsg('get_strategy_list',{'page':p}, function(rdata){
// console.log(rdata);
ldata = rdata.data.data;
var tBody = '';
for (var i = 0; i < ldata.length; i++) {
tBody += '<tr data-id="'+ldata[i]['id']+'">'
tBody += '<td>'+ldata[i]['id']+'</td>';
tBody += '<td>'+ldata[i]['name']+'</td>';
if (ldata[i]['status'] == 'start'){
tBody += '<td><span style="color:#20a53a;cursor: pointer;" class="strategy_status glyphicon glyphicon-play"></span></td>';
} else{
tBody += '<td><span style="color:red;cursor: pointer;" class="strategy_status glyphicon glyphicon-pause"></span></td>';
}
tBody += "<td style='text-align: right;'><a class='btlink restart'>重启</a> | <a class='btlink edit'>编辑</a></td>";
tBody +='<tr>';
}
// console.log(tBody);
$('#strategy_list').html(tBody);
$('#strategy_list_page').html(rdata.data.list);
$('#strategy_list .strategy_status').click(function(){
var id = $(this).parent().parent().data('id');
var status = 'stop';
if ($(this).hasClass('glyphicon-pause')){
status = 'start';
}
setStrategyStatus(id,status);
});
$('#strategy_list .restart').click(function(){
var id = $(this).parent().parent().data('id');
setStrategyRestart(id);
});
$('#strategy_list .edit').click(function(){
var id = $(this).parent().parent().data('id');
setStrategyEdit(id);
});
});
}
function calcKLineChats(){
var chartDom = document.getElementById('k_echarts');
var myChart = echarts.init(chartDom);
var option;
const upColor = '#ec0000';
const upBorderColor = '#8A0000';
const downColor = '#00da3c';
const downBorderColor = '#008F28';
// Each item: open,close,lowest,highest
const data0 = splitData([
['2013/1/24', 2320.26, 2320.26, 2287.3, 2362.94],
['2013/1/25', 2300, 2291.3, 2288.26, 2308.38],
['2013/1/28', 2295.35, 2346.5, 2295.35, 2346.92],
['2013/1/29', 2347.22, 2358.98, 2337.35, 2363.8],
['2013/1/30', 2360.75, 2382.48, 2347.89, 2383.76],
['2013/1/31', 2383.43, 2385.42, 2371.23, 2391.82],
['2013/2/1', 2377.41, 2419.02, 2369.57, 2421.15],
['2013/2/4', 2425.92, 2428.15, 2417.58, 2440.38],
['2013/2/5', 2411, 2433.13, 2403.3, 2437.42],
['2013/2/6', 2432.68, 2434.48, 2427.7, 2441.73],
['2013/2/7', 2430.69, 2418.53, 2394.22, 2433.89],
['2013/2/8', 2416.62, 2432.4, 2414.4, 2443.03],
['2013/2/18', 2441.91, 2421.56, 2415.43, 2444.8],
['2013/2/19', 2420.26, 2382.91, 2373.53, 2427.07],
['2013/2/20', 2383.49, 2397.18, 2370.61, 2397.94],
['2013/2/21', 2378.82, 2325.95, 2309.17, 2378.82],
['2013/2/22', 2322.94, 2314.16, 2308.76, 2330.88],
['2013/2/25', 2320.62, 2325.82, 2315.01, 2338.78],
['2013/2/26', 2313.74, 2293.34, 2289.89, 2340.71],
['2013/2/27', 2297.77, 2313.22, 2292.03, 2324.63],
['2013/2/28', 2322.32, 2365.59, 2308.92, 2366.16],
['2013/3/1', 2364.54, 2359.51, 2330.86, 2369.65],
['2013/3/4', 2332.08, 2273.4, 2259.25, 2333.54],
['2013/3/5', 2274.81, 2326.31, 2270.1, 2328.14],
['2013/3/6', 2333.61, 2347.18, 2321.6, 2351.44],
['2013/3/7', 2340.44, 2324.29, 2304.27, 2352.02],
['2013/3/8', 2326.42, 2318.61, 2314.59, 2333.67],
['2013/3/11', 2314.68, 2310.59, 2296.58, 2320.96],
['2013/3/12', 2309.16, 2286.6, 2264.83, 2333.29],
['2013/3/13', 2282.17, 2263.97, 2253.25, 2286.33],
['2013/3/14', 2255.77, 2270.28, 2253.31, 2276.22],
['2013/3/15', 2269.31, 2278.4, 2250, 2312.08],
['2013/3/18', 2267.29, 2240.02, 2239.21, 2276.05],
['2013/3/19', 2244.26, 2257.43, 2232.02, 2261.31],
['2013/3/20', 2257.74, 2317.37, 2257.42, 2317.86],
['2013/3/21', 2318.21, 2324.24, 2311.6, 2330.81],
['2013/3/22', 2321.4, 2328.28, 2314.97, 2332],
['2013/3/25', 2334.74, 2326.72, 2319.91, 2344.89],
['2013/3/26', 2318.58, 2297.67, 2281.12, 2319.99],
['2013/3/27', 2299.38, 2301.26, 2289, 2323.48],
['2013/3/28', 2273.55, 2236.3, 2232.91, 2273.55],
['2013/3/29', 2238.49, 2236.62, 2228.81, 2246.87],
['2013/4/1', 2229.46, 2234.4, 2227.31, 2243.95],
['2013/4/2', 2234.9, 2227.74, 2220.44, 2253.42],
['2013/4/3', 2232.69, 2225.29, 2217.25, 2241.34],
['2013/4/8', 2196.24, 2211.59, 2180.67, 2212.59],
['2013/4/9', 2215.47, 2225.77, 2215.47, 2234.73],
['2013/4/10', 2224.93, 2226.13, 2212.56, 2233.04],
['2013/4/11', 2236.98, 2219.55, 2217.26, 2242.48],
['2013/4/12', 2218.09, 2206.78, 2204.44, 2226.26],
['2013/4/15', 2199.91, 2181.94, 2177.39, 2204.99],
['2013/4/16', 2169.63, 2194.85, 2165.78, 2196.43],
['2013/4/17', 2195.03, 2193.8, 2178.47, 2197.51],
['2013/4/18', 2181.82, 2197.6, 2175.44, 2206.03],
['2013/4/19', 2201.12, 2244.64, 2200.58, 2250.11],
['2013/4/22', 2236.4, 2242.17, 2232.26, 2245.12],
['2013/4/23', 2242.62, 2184.54, 2182.81, 2242.62],
['2013/4/24', 2187.35, 2218.32, 2184.11, 2226.12],
['2013/4/25', 2213.19, 2199.31, 2191.85, 2224.63],
['2013/4/26', 2203.89, 2177.91, 2173.86, 2210.58],
['2013/5/2', 2170.78, 2174.12, 2161.14, 2179.65],
['2013/5/3', 2179.05, 2205.5, 2179.05, 2222.81],
['2013/5/6', 2212.5, 2231.17, 2212.5, 2236.07],
['2013/5/7', 2227.86, 2235.57, 2219.44, 2240.26],
['2013/5/8', 2242.39, 2246.3, 2235.42, 2255.21],
['2013/5/9', 2246.96, 2232.97, 2221.38, 2247.86],
['2013/5/10', 2228.82, 2246.83, 2225.81, 2247.67],
['2013/5/13', 2247.68, 2241.92, 2231.36, 2250.85],
['2013/5/14', 2238.9, 2217.01, 2205.87, 2239.93],
['2013/5/15', 2217.09, 2224.8, 2213.58, 2225.19],
['2013/5/16', 2221.34, 2251.81, 2210.77, 2252.87],
['2013/5/17', 2249.81, 2282.87, 2248.41, 2288.09],
['2013/5/20', 2286.33, 2299.99, 2281.9, 2309.39],
['2013/5/21', 2297.11, 2305.11, 2290.12, 2305.3],
['2013/5/22', 2303.75, 2302.4, 2292.43, 2314.18],
['2013/5/23', 2293.81, 2275.67, 2274.1, 2304.95],
['2013/5/24', 2281.45, 2288.53, 2270.25, 2292.59],
['2013/5/27', 2286.66, 2293.08, 2283.94, 2301.7],
['2013/5/28', 2293.4, 2321.32, 2281.47, 2322.1],
['2013/5/29', 2323.54, 2324.02, 2321.17, 2334.33],
['2013/5/30', 2316.25, 2317.75, 2310.49, 2325.72],
['2013/5/31', 2320.74, 2300.59, 2299.37, 2325.53],
['2013/6/3', 2300.21, 2299.25, 2294.11, 2313.43],
['2013/6/4', 2297.1, 2272.42, 2264.76, 2297.1],
['2013/6/5', 2270.71, 2270.93, 2260.87, 2276.86],
['2013/6/6', 2264.43, 2242.11, 2240.07, 2266.69],
['2013/6/7', 2242.26, 2210.9, 2205.07, 2250.63],
['2013/6/13', 2190.1, 2148.35, 2126.22, 2190.1]
]);
function splitData(rawData) {
const categoryData = [];
const values = [];
for (var i = 0; i < rawData.length; i++) {
categoryData.push(rawData[i].splice(0, 1)[0]);
values.push(rawData[i]);
}
return {
categoryData: categoryData,
values: values
};
}
function calculateMA(dayCount) {
var result = [];
for (var i = 0, len = data0.values.length; i < len; i++) {
if (i < dayCount) {
result.push('-');
continue;
}
var sum = 0;
for (var j = 0; j < dayCount; j++) {
sum += +data0.values[i - j][1];
}
result.push(sum / dayCount);
}
return result;
}
option = {
title: {
text: '上证指数',
left: 0
},
tooltip: {
trigger: 'axis',
axisPointer: {
type: 'cross'
}
},
legend: {
data: ['日K', 'MA5', 'MA10', 'MA20', 'MA30']
},
grid: {
left: '10%',
right: '10%',
bottom: '15%'
},
xAxis: {
type: 'category',
data: data0.categoryData,
boundaryGap: false,
axisLine: { onZero: false },
splitLine: { show: false },
min: 'dataMin',
max: 'dataMax'
},
yAxis: {
scale: true,
splitArea: {
show: true
}
},
dataZoom: [
{
type: 'inside',
start: 50,
end: 100
},
{
show: true,
type: 'slider',
top: '90%',
start: 50,
end: 100
}
],
series: [
{
name: '日K',
type: 'candlestick',
data: data0.values,
itemStyle: {
color: upColor,
color0: downColor,
borderColor: upBorderColor,
borderColor0: downBorderColor
},
markPoint: {
label: {
formatter: function (param) {
return param != null ? Math.round(param.value) + '' : '';
}
},
data: [
{
name: 'Mark',
coord: ['2013/5/31', 2300],
value: 2300,
itemStyle: {
color: 'rgb(41,60,85)'
}
},
{
name: 'highest value',
type: 'max',
valueDim: 'highest'
},
{
name: 'lowest value',
type: 'min',
valueDim: 'lowest'
},
{
name: 'average value on close',
type: 'average',
valueDim: 'close'
}
],
tooltip: {
formatter: function (param) {
return param.name + '<br>' + (param.data.coord || '');
}
}
},
markLine: {
symbol: ['none', 'none'],
data: [
[
{
name: 'from lowest to highest',
type: 'min',
valueDim: 'lowest',
symbol: 'circle',
symbolSize: 10,
label: {
show: false
},
emphasis: {
label: {
show: false
}
}
},
{
type: 'max',
valueDim: 'highest',
symbol: 'circle',
symbolSize: 10,
label: {
show: false
},
emphasis: {
label: {
show: false
}
}
}
],
{
name: 'min line on close',
type: 'min',
valueDim: 'close'
},
{
name: 'max line on close',
type: 'max',
valueDim: 'close'
}
]
}
},
{
name: 'MA5',
type: 'line',
data: calculateMA(5),
smooth: true,
lineStyle: {
opacity: 0.5
}
},
{
name: 'MA10',
type: 'line',
data: calculateMA(10),
smooth: true,
lineStyle: {
opacity: 0.5
}
},
{
name: 'MA20',
type: 'line',
data: calculateMA(20),
smooth: true,
lineStyle: {
opacity: 0.5
}
},
{
name: 'MA30',
type: 'line',
data: calculateMA(30),
smooth: true,
lineStyle: {
opacity: 0.5
}
}
]
};
option && myChart.setOption(option);
}
$(document).ready(function(){
var tag = $.getUrlParam('tag');
if(tag == 'cryptocurrency_trade'){
changeDivH();
// 获取数据源更新日志
dataSourceLog();
setInterval(function(){
dataSourceLog();
},3000);
// 获取策略更新日志
dataStrategyLog();
setInterval(function(){
dataStrategyLog();
},5000);
getStrategyList(1);
calcKLineChats();
}
});
$(window).resize(function(){
changeDivH();
});
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