Strategy vault / Market making
Simple Market Making Hedging Function
Small platforms make their own market to reduce risk and hedge to large exchanges Strategic Thoughts: Infinite loop polling account asset balance, hedge the changed coin to Huobi Send notifications to administrators…
Small platforms make their own market to reduce risk and hedge to large exchanges Strategic Thoughts: Infinite loop polling account asset balance, hedge the changed coin to Huobi Send notifications to administrators via both DingTalk and WeChat at the same time Use sqlite to save historical account balances to serve other strategies and facilitate financial management
Source Python
# -*- coding: UTF-8 -*-
import time
from api import *
from Huobiapi import *
import sqlite3
def wechatmsg(text,desp):
server = 'https://sc.ftqq.com/xxxxxx.send'
payload = {'text':text,'desp':desp}
requests.post(server,params = payload)
def dingmsg(title,msg):
url = 'https://oapi.dingtalk.com/robot/send?access_token=xxxxxx'
data = {
"msgtype": "markdown",
"markdown": {
"title":title+msg,
"text": "#### " + title + "\n"
"> " + msg
}}
header = {'Content-Type':'application/json'}
r = requests.post(url = url ,headers=header,data = json.dumps(data)).json()
return r
def check():
try:
pre_balance = {}
conn = sqlite3.connect("/root/bot/hedge.db")
cursor = conn.cursor()
sql = 'select * from balance order by id desc limit 20;'
result = list(cursor.execute(sql))
for a in result:
if a[1] in list(pre_balance.keys()):
break
else:
pre_balance[a[1]] = a[2] #Before readingbalance
coinname = list(pre_balance.keys())
print(pre_balance,coinname)
balance = GetBalance()
t = time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(time.time()))
for x in balance:
sql = "insert into balance (coin,balance,time) values(?,?,?);"
b = x['balance']+x['frozenBalance']
if b != 0:
v = (x['coin']['unit'],b,t)
print(v)
cursor.execute(sql,v)
for n in coinname:
if n == x['coin']['unit']:
d = round(b - pre_balance[n],5) #Quantity difference
if d > 0:
Sell(n,d)
msg = 'Hedge sell '+n+' quantity:'+str(d)
print(msg)
wechatmsg('hedge',msg)
dingmsg('hedge',msg)
sql = "insert into hedge (coin,hedge_amount,status,time) values(?,?,?,?);"
v = (n,d,0,t)
cursor.execute(sql,v)
elif d < 0:
Buy(n,d)
msg = 'Hedge buy: '+n+' quantity:'+str(d)
print(msg)
wechatmsg('hedge',msg)
dingmsg('hedge',msg)
sql = "insert into hedge (coin,hedge_amount,status,time) values(?,?,?,?);"
v = (n,d,0,t)
cursor.execute(sql,v)
else:
print('no hedge')
conn.commit()
conn.close()
except Exception as e:
raise e
def insert_balance():
try:
conn = sqlite3.connect("hedge.db")
cursor = conn.cursor()
balance = GetBalance()
t = time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(time.time()))
for x in balance:
sql = "insert into balance (coin,balance,time) values(?,?,?);"
b = x['balance']+x['frozenBalance']
if b != 0:
v = (x['coin']['unit'],b,t)
cursor.execute(sql,v)
conn.commit()
conn.close()
print('finish')
except Exception as e:
print('err',e)
if __name__ == '__main__':
while 1:
try:
check()
except Exception as e:
print(e)
time.sleep(30)
Published by 3piggy on the FMZ strategy square · last modified 2019-12-12. Collected in the Quant Trading Vault. Unvalidated research: re-test with your own data and costs before trusting it.
Build this with AgenKit
A spec is not a trading system. Paste this into your coding agent and AgenKit runs a specialist team — architecture, test-first build, risk gates, review — with paper trading on by default.
/agenkit build a market making bot with inventory skew limits and order deduplication from strategies/Simple-Market-Making-Hedging-Function.md- npx agenkit install engineering-kit in your project
- Paste the command into your agent and approve each phase
- Get tests, backtest, risk controls and a paper-trading switch
Understand it first
Before you run this, read the lesson behind the idea and how to backtest it honestly. Specs like this one are the survivors of an unknown number of trials; deflate their results accordingly.
Related specs
- Deep Market Making Handicap Control Trading Robot Market Making ToolsPython · Market making
- Khaled Tamims Avellaneda Stoikov Strategy Khaled Tamims Avellaneda Stoikov StrategyPine Script · Market making · 4h
- Dynamic Balance Market Making Strategy Xiao GaoJavaScript · Market making
- Short Unlocking Strategy on FMEX Starting from 1 BTC Bearish OutlookJavaScript · Market making
- Long Unlocking Strategy on FMEX Starting from 1 BTC Bullish OutlookJavaScript · Market making
- Multi Indicator High Frequency Range Trading StrategyPine Script · Market making · 1d