import time import requests import math # import pandas as pd InitPrice = 0 updateProfitTime = 0 assets = {} tradeInfo = {} accountAssets = {} runtimeData = {} Funding = 0 #账户资金 为0的时候自动获取 symbol = '' Version = '0.0.1' SuccessColor = '#5cb85c' #成功颜色 DangerColor = '#ff0000' #危险颜色 WrningColor = '#f0ad4e' #警告颜色 assets['USDT'] = {'unrealised_profit':0,'margin':0,'margin_balance':0,'total_balance':0,'leverage':0,'update_time':0,'margin_ratio':0,'init_balance':0,'profit':0} if IsVirtual(): Log('不能进行回测') exit() if exchange.GetName() != 'Futures_Binance': Log('只支持币安期货交易所!') exit() def init(): initData() CancelOrder() exchangeInfo = requests.get('https://fapi.binance.com/fapi/v1/exchangeInfo').json() if exchangeInfo is None: Log('无法连接币安网络,需要海外托管者') exit() for i in range(len(exchangeInfo['symbols'])): if exchangeInfo['symbols'][i]['symbol'] == symbol: assets[symbol] = {'amount': 0,'hold_price': 0,'value': 0,'bid_price': 0,'ask_price': 0,'realised_profit': 0,'margin': 0,'unrealised_profit': 0, 'leverage': 20, 'positionInitialMargin': 0, 'liquidationPrice': 0 } tradeInfo[symbol] = {'minQty': float(exchangeInfo['symbols'][i]['filters'][1]['minQty']) , 'priceSize': int((math.log10(1.1/float(exchangeInfo['symbols'][i]['filters'][0]['tickSize'])))),'amountSize': int((math.log10(1.1/float(exchangeInfo['symbols'][i]['filters'][1]['stepSize']))))} def CancelOrder(): exchange.SetContractType('swap') #撤销所有未成交订单 orders = exchange.GetOrders() for x in range(len(orders)): if orders[x]['Info']['symbol'] == symbol : exchange.CancelOrder(orders[x]['Id']) def UpdateStatus(): global Funding,updateProfitTime if Funding == 0 : Funding = float(FirstAccount()['Info']['totalWalletBalance']) #获取初始资金 # totalProfit = assets['USDT']['total_balance'] - Funding #计算收益 accountTable = { 'type': "table", 'title': "盈利统计", 'cols': ["运行天数", "初始资金", "现有资金", "保证金余额", "已用保证金", "保证金比率", "总收益", "预计年化", "预计月化", "平均日化"], 'rows': [] } table = { 'type': 'table', 'title': '交易对信息', 'cols': ['编号', '[模式][倍数][持仓模式]', '币种信息', '开仓方向','初始价格', '开仓数量', '持仓价格', '当前价格', '强平价格', '持仓价值', '保证金', '未实现盈亏'], 'rows': [] } profitColors = DangerColor totalProfit = assets['USDT']['total_balance'] - Funding runday = runtimeData['dayDiff'] if runday == 0: runday = 1 if totalProfit > 0: profitColors = SuccessColor dayProfit = totalProfit / runday #Log('dayProfit:',dayProfit,'Funding:',Funding) dayRate = dayProfit / Funding * 100 accountTable['rows'].append([ runday, '$' + str(_N(Funding, 2)), '$' + str(assets['USDT']['total_balance']), '$' + str(assets['USDT']['margin_balance']), '$' + str(assets['USDT']['margin']), str(_N(assets['USDT']['margin_ratio'], 2)) + '%', str(_N(totalProfit / Funding * 100, 2)) + "% = $" + str(_N(totalProfit, 2)) + (profitColors), str(_N(dayRate * 365, 2)) + "% = $" + str(_N(dayProfit * 365, 2)) + (profitColors), str(_N(dayRate * 30, 2)) + "% = $" + str(_N(dayProfit * 30, 2)) + (profitColors), str(_N(dayRate, 2)) + "% = $" + str(_N(dayProfit, 2)) + (profitColors) ]) i = 1 for x in list(symbol.split(',')): typestr = '多空持仓' if type == 1: typestr = '只持多仓' if type == 2: typestr = '只持空仓' direction = '空仓' margin = direction if assets[x]['amount'] != 0: direction = '做多' + SuccessColor if assets[symbol]['amount'] > 0 else '做空' + DangerColor margin = '全仓' if assets[symbol]['marginType'] == 'cross' else '逐仓' unrealised_profit_color = '#000000' if assets[symbol]['unrealised_profit'] > 0: unrealised_profit_color = SuccessColor if assets[symbol]['unrealised_profit'] < 0: unrealised_profit_color = DangerColor infoList = [ i, '['+margin+']'+'['+str(assets[x]['leverage'])+']'+'['+typestr+']', x, direction, InitPrice, assets[x]['amount'], assets[x]['hold_price'], assets[x]['price'], assets[x]['liquidationPrice'], float(assets[x]['amount']) * float(assets[x]['price']), assets[x]['positionInitialMargin'], assets[x]['unrealised_profit'], ] table['rows'].append(infoList) retData = runtimeData['str'] + '\n' + "最后更新: " + _D() + '\n' + 'Version:' + Version + '\n' LogStatus(retData+ '`' + json.dumps(accountTable) + '`\n'+ '`' + json.dumps(table) + '`\n') if int(time.time()*1000) - updateProfitTime > LogInterval * 1000: balance = assets['USDT']['total_balance'] key = "initialAccount_" + exchange.GetLabel() initialAccount = _G(key) #Log('balance:',balance,'Funding:',Funding,'initialAccount:',initialAccount['Info']['totalWalletBalance']) if Show: balance = assets['USDT']['total_balance'] - Funding LogProfit(_N(balance, 3)) updateProfitTime = int(time.time()*1000) Profit = _N(balance,0) def UpdateAccount(): # Log('UpdateAccount()') global accountAssets account = exchange.GetAccount() position = exchange.GetPosition() if account is None and position is None : Log('更新账户超时!!!') return accountAssets = account['Info']['assets'] assets['USDT']['update_time'] = int(time.time()) * 1000 #秒转毫秒 同步更新账户时间 for i in range(len(account['Info']['positions'])) : if account['Info']['positions'][i]['symbol'] == symbol : #计算持仓保证金 初始保证金 + 维持保证金 assets[symbol]['margin'] = float(account['Info']['positions'][i]['initialMargin']) + float(account['Info']['positions'][i]['maintMargin']) #未实现收益 assets[symbol]['unrealised_profit'] = float(account['Info']['positions'][i]['unrealizedProfit']) assets[symbol]['positionInitialMargin'] = float(account['Info']['positions'][i]['positionInitialMargin']) assets[symbol]['leverage'] = account['Info']['positions'][i]['leverage'] #计算持仓保证金总额 assets['USDT']['margin'] = float(account['Info']['totalInitialMargin']) + float(account['Info']['totalMaintMargin']) assets['USDT']['margin_balance'] = float(account['Info']['totalMarginBalance']) assets['USDT']['total_balance'] = float(account['Info']['totalWalletBalance']) ps = json.loads(exchange.GetRawJSON()) if len(ps) > 0 : for x in range(len(ps)): if ps[x]['symbol'] == symbol: assets[symbol]['hold_price'] = float(ps[x]['entryPrice']) assets[symbol]['amount'] = float(ps[x]['positionAmt']) assets[symbol]['unrealised_profit'] = float(ps[x]['unRealizedProfit']) assets[symbol]['liquidationPrice'] = float(ps[x]['liquidationPrice']) assets[symbol]['marginType'] = ps[x]['marginType'] def UpdateTick(): global InitPrice res = _C(exchange.GetTicker) if res is None: Log("行情更新异常!!!") if target: InitPrice = target_price _G('InitPrice',InitPrice) else: if _G('InitPrice') is None : InitPrice = res.Last _G('InitPrice',InitPrice) else: InitPrice = _G('InitPrice') assets[symbol]['price'] = res.Last def Trade(direction,price,amount): if amount < 0: amount = -amount Log('amount:',amount,'minQty:',tradeInfo[symbol]['minQty']) if amount < tradeInfo[symbol]['minQty']: Log(symbol,'合约价值偏离或冰山委托设置的过小,达不到最小成交额,最小需要:', _N(tradeInfo[symbol]['minQty'] * price,4) + 1) else: para = '' url = '/fapi/v1/order' para += 'symbol='+ symbol para += '&side='+ direction para += '&type=LIMIT&timeInForce=GTC' para += '&quantity='+ str(amount) para += '&price='+ str(price) para += "×tamp="+str(time.time() * 1000); go = exchange.Go("IO", "api", "POST", url, para) ret = go.wait() if ret is not None: logType = LOG_TYPE_SELL if direction == 'BUY': logType =LOG_TYPE_BUY exchange.Log(logType,price,amount,symbol) def batch(buy_price,sell_price): exchange.SetContractType('swap') #撤销所有未成交订单 orders = exchange.GetOrders() if len(orders) < 2 : return True return False def Process(): amount = (1 - float(assets[symbol]['price']) / float(InitPrice)) / float(pct) * float(value) / float(assets[symbol]['price']) if abs(amount - assets[symbol]['amount']) > _N(value / float(assets[symbol]['price']), tradeInfo[symbol]['amountSize']): if amount > 0: if assets[symbol]['amount'] < amount: CancelOrder() Trade('BUY', round(float(assets[symbol]['price']), tradeInfo[symbol]['priceSize']), round(amount - float(assets[symbol]['amount']),tradeInfo[symbol]['amountSize'])) if assets[symbol]['amount'] > amount: CancelOrder() Trade('SELL', round(float(assets[symbol]['price']), tradeInfo[symbol]['priceSize']), round(amount - float(assets[symbol]['amount']),tradeInfo[symbol]['amountSize'])) if amount < 0: if assets[symbol]['amount'] < amount: CancelOrder() Trade('BUY', round(float(assets[symbol]['price']), tradeInfo[symbol]['priceSize']), round(amount - float(assets[symbol]['amount']),tradeInfo[symbol]['amountSize'])) if assets[symbol]['amount'] > amount: CancelOrder() Trade('SELL', round(float(assets[symbol]['price']), tradeInfo[symbol]['priceSize']), round(amount - float(assets[symbol]['amount']),tradeInfo[symbol]['amountSize'])) buy_price = (value / pct - value) / ((value / pct) / float(InitPrice) + assets[symbol]['amount']) sell_price = (value / pct + value) / ((value / pct) / float(InitPrice) + assets[symbol]['amount']) if float(buy_price) > float(assets[symbol]['price']) or float(sell_price) < float(assets[symbol]['price']) or batch(buy_price,sell_price): CancelOrder() Trade('BUY', _N(buy_price, tradeInfo[symbol]['priceSize']), _N(value / buy_price, tradeInfo[symbol]['amountSize'])) Trade('SELL', _N(sell_price, tradeInfo[symbol]['priceSize']), (_N(value / sell_price, tradeInfo[symbol]['amountSize']))) def FirstAccount(): key = "initialAccount_" + exchange.GetLabel() initialAccount = _G(key) if initialAccount is None: initialAccount = exchange.GetAccount() _G(key, initialAccount) return initialAccount def StartTime(): StartTime = _G('StartTime') if StartTime is None: StartTime = _D() _G('StartTime',StartTime) return StartTime def RunTime(): ret = {} startTime = StartTime() nowTime = _D() dateDiff = (time.mktime(time.strptime(nowTime,'%Y-%m-%d %H:%M:%S')) - time.mktime(time.strptime(startTime,'%Y-%m-%d %H:%M:%S')) ) * 1000 #计算时间差 dayDiff = math.floor(dateDiff / (24 * 3600 * 1000)) lever1 = dateDiff % (24 * 3600 * 1000 ) hours = math.floor(lever1 / (3600 * 1000)) lever2 = lever1 % (3600 * 1000) minutes = math.floor(lever2 / (60 * 1000)) ret['dayDiff'] = dayDiff ret['hours'] = hours ret['minutes'] = minutes ret['str'] = '运行时间:' + str(dayDiff) + '天' + str(hours) + '小时' + str(minutes) + '分钟' return ret def initData(): global symbol if _G('symbol') is None: symbol = exchange.GetCurrency().replace('_','') _G('symbol',symbol) Log('初始化币种:',symbol) else: symbol = _G('symbol') Log('交易币种:',symbol) def main(): exchange.SetContractType('swap') exchange.SetMarginLevel(10) SetErrorFilter("502:|503:|tcp|character|unexpected|network|timeout|WSARecv|Connect|GetAddr|no such|reset|http|received|EOF|reused|Unknown") global runtimeData while True: runtimeData = RunTime() #更新账户和持仓 UpdateAccount() #更新行情 UpdateTick() #策略主逻辑 Process() #更新图表 UpdateStatus() Sleep(1000 * Interval)
Tak TerhinggaApakah Anda bisa menjelaskan secara rinci logika harga beli dan harga jual 250 atau 251 baris berikutnya, meskipun secara sederhana adalah harga jual lebih rendah jika posisi lebih banyak, tetapi logika internal melihat setengah hari benar-benar tidak mengerti
Aku setia.Saya tidak mengerti Python, saya tidak mengerti bahasa Inggris, saya tidak mengerti bahasa Inggris, saya tidak mengerti bahasa Inggris, saya tidak mengerti bahasa Inggris, saya tidak mengerti bahasa Inggris. Saya mengubahnya menjadi res = requests.get (('https://fapi.binance.com/fapi/v1/ticker/price?symbol='+symbol).json))) dan bisa berjalan.
60kePemilik rumah, bisakah Anda menambahkan tombol bebas untuk memilih lebih banyak ruang kosong?
ChaoZhangPerangkat lunak ini memiliki fitur yang sangat baik untuk mendukung, dan terlihat seperti jaringan resmi.
EvanKesalahan GetOrders: 400: {"code":-1021, "msg:"Timestamp for this request is outside of the recvWindow"}
qyf666Saya mencoba mencari tahu, dan saya menemukan dua masalah. 1. Saat menjalankan kontrak ETH, strategi menunjukkan bahwa harga kontrak terlalu kecil untuk tidak dibuka ketika posisi terbuka di bawah 1 ETH 2. munculnya Futures_Binance Futures OP4:400:{""ode"":-2019""msg"":""Margin is insufficient.""} kesalahan, strategi akan mengikat tanpa batas setiap 0,03 detik, dan kemudian jumlah saham berubah dalam sekejap
XMaxZoneVersi Python rendah mungkin tidak mendukung pemformatan f
XMaxZoneYa, pikiran yang sama.
XMaxZonehttps://www.fmz.com/robot/367613 Ini adalah alamat uji coba real disk
XMaxZoneKarena Anda tidak memiliki paket pandas yang diinstal di server Anda, hapus saja baris ini, untuk lingkungan penelitian, di sini Anda lupa menghapus import pandas as pd
qyf666Disk ini tidak bisa berjalan.
Kesalahan: Traceback (most recent call last): File "
XMaxZoneSetelah diperbaiki, versi 0.0.2v akan ditiru lagi, saat uji coba menggunakan trx, tanpa memperhitungkan masalah akurasi mata uang besar, ada masalah.