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dip finder 4h mtf backup

xmd79
Nov 24th, 2022 (edited)
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  1. from binance.client import Client
  2. import matplotlib.pyplot as plt
  3. import numpy as np
  4. from datetime import datetime
  5. import talib as ta
  6. #import statsmodels.api as sm
  7. import os, sys
  8.  
  9. import asyncio
  10.  
  11.  
  12. class Trader:
  13.     def __init__(self, file):
  14.         self.connect(file)
  15.  
  16.     """ Creates Binance client """
  17.     def connect(self,file):
  18.         lines = [line.rstrip('\n') for line in open(file)]
  19.         key = lines[0]
  20.         secret = lines[1]
  21.         self.client = Client(key, secret)
  22.  
  23.     """ Gets all account balances """
  24.     def getBalances(self):
  25.         prices = self.client.get_withdraw_history()
  26.         return prices
  27.  
  28. filename = 'credentials.txt'
  29. trader = Trader(filename)
  30.  
  31.  
  32.  
  33. filtered_pairs1 = []
  34. filtered_pairs2 = []
  35. filtered_pairs3 = []
  36. selected_pair = []
  37. selected_pairCMO = []
  38.  
  39.  
  40. trading_pairs = [
  41.     '1INCHUSDT','AAVEUSDT','ACAUSDT','ACHUSDT','ACMUSDT',
  42.     'ADAUSDT','ADXUSDT','AGLDUSDT','AIONUSDT','AKROUSDT',
  43.     'ALCXUSDT','ALGOUSDT','ALICEUSDT','ALPACAUSDT','ALPHAUSDT',
  44.     'ALPINEUSDT','AMPUSDT','ANCUSDT','ANKRUSDT','ANTUSDT',
  45.     'APEUSDT','API3USDT','APTUSDT','ARDRUSDT','ARPAUSDT','ARUSDT',
  46.     'ASRUSDT','ASTRUSDT','ATAUSDT','ATMUSDT','ATOMUSDT',
  47.     'AUCTIONUSDT','AUDIOUSDT','AUTOUSDT','AVAUSDT',
  48.     'AVAXUSDT','AXSUSDT','BADGERUSDT','BAKEUSDT','BALUSDT',
  49.     'BANDUSDT','BARUSDT','BATUSDT','BCHUSDT','BEAMUSDT',
  50.     'BELUSDT','BETAUSDT','BICOUSDT','BIFIUSDT','BLZUSDT','BNBUSDT',
  51.     'BNTUSDT','BNXUSDT','BONDUSDT','BSWUSDT','BTCSTUSDT',
  52.     'BTCUSDT','BTSUSDT','BTTCUSDT','BURGERUSDT',
  53.     'C98USDT','CAKEUSDT','CELOUSDT','CELRUSDT','CFXUSDT',
  54.     'CHESSUSDT','CHRUSDT','CHZUSDT','CITYUSDT','CKBUSDT',
  55.     'CLVUSDT','COCOSUSDT','COMPUSDT','COSUSDT','COTIUSDT',
  56.     'CRVUSDT','CTKUSDT','CTSIUSDT','CTXCUSDT','CVCUSDT',
  57.     'CVPUSDT','CVXUSDT','DARUSDT','DASHUSDT','DATAUSDT',
  58.     'DCRUSDT','DEGOUSDT','DENTUSDT','DEXEUSDT','DFUSDT',
  59.     'DGBUSDT','DIAUSDT','DOCKUSDT','DODOUSDT',
  60.     'DOGEUSDT','DOTUSDT','DREPUSDT','DUSKUSDT','DYDXUSDT',
  61.     'EGLDUSDT','ELFUSDT','ENJUSDT','ENSUSDT','EOSUSDT',
  62.     'EPXUSDT','ERNUSDT','ETCUSDT','ETHUSDT','FARMUSDT',
  63.     'FETUSDT','FIDAUSDT','FILUSDT','FIOUSDT','FIROUSDT',
  64.     'FISUSDT','FLMUSDT','FLOWUSDT','FLUXUSDT','FORTHUSDT',
  65.     'FORUSDT','FRONTUSDT','FTMUSDT','FUNUSDT',
  66.     'FXSUSDT','GALAUSDT','GALUSDT','GHSTUSDT','GLMRUSDT',
  67.     'GMTUSDT','GNOUSDT','GRTUSDT','GTCUSDT','GTOUSDT',
  68.     'HARDUSDT','HBARUSDT','HFTUSDT','HIGHUSDT','HIVEUSDT',
  69.     'HOTUSDT','ICPUSDT','ICXUSDT','IDEXUSDT','ILVUSDT',
  70.     'IMXUSDT','INJUSDT','IOSTUSDT','IOTAUSDT','IOTXUSDT',
  71.     'IRISUSDT','JASMYUSDT','JOEUSDT','JSTUSDT','JUVUSDT',
  72.     'KAVAUSDT','KDAUSDT','KEYUSDT','KLAYUSDT','KMDUSDT',
  73.     'KNCUSDT','KP3RUSDT','KSMUSDT','LAZIOUSDT','LDOUSDT','LEVERUSDT',
  74.     'LINAUSDT','LINKUSDT','LITUSDT','LOKAUSDT','LPTUSDT',
  75.     'LRCUSDT','LSKUSDT','LTCUSDT','LTOUSDT','LUNAUSDT','LUNCUSDT','MANAUSDT',
  76.     'MASKUSDT','MATICUSDT','MBLUSDT','MBOXUSDT','MCUSDT',
  77.     'MDTUSDT','MDXUSDT','MFTUSDT','MINAUSDT','MIRUSDT',
  78.     'MITHUSDT','MKRUSDT','MLNUSDT','MOBUSDT','MOVRUSDT',
  79.     'MTLUSDT','MULTIUSDT','NEBLUSDT','NEARUSDT','NEOUSDT',
  80.     'NEXOUSDT','NKNUSDT','NMRUSDT','NULSUSDT','OCEANUSDT',
  81.     'OGNUSDT','OGUSDT','OMGUSDT','OMUSDT','ONEUSDT',
  82.     'ONGUSDT','ONTUSDT','OOKIUSDT','ORNUSDT','OSMOUSDT','OXTUSDT',
  83.     'PAXGUSDT','PEOPLEUSDT','PERLUSDT','PERPUSDT','PHAUSDT','PHBUSDT',
  84.     'PLAUSDT','PNTUSDT','POLSUSDT','POLYXUSDT','PONDUSDT',
  85.     'PORTOUSDT','POWRUSDT','PSGUSDT','PUNDIXUSDT','PYRUSDT',
  86.     'QIUSDT','QNTUSDT','QTUMUSDT','QUICKUSDT','RADUSDT',
  87.     'RAREUSDT','RAYUSDT','REEFUSDT','REIUSDT',
  88.     'RENUSDT','REPUSDT','REQUSDT','RIFUSDT','RLCUSDT',
  89.     'RNDRUSDT','ROSEUSDT','RSRUSDT','RUNEUSDT','RVNUSDT',
  90.     'SANDUSDT','SANTOSUSDT','SCRTUSDT','SCUSDT','SFPUSDT',
  91.     'SHIBUSDT','SKLUSDT','SLPUSDT','SNXUSDT','SOLUSDT',
  92.     'SPELLUSDT','SRMUSDT','STEEMUSDT','STGUSDT','STMXUSDT','STORJUSDT','STPTUSDT',
  93.     'STRAXUSDT','STXUSDT','SUNUSDT','SUPERUSDT','SUSHIUSDT',
  94.     'SXPUSDT','SYSUSDT','TFUELUSDT','THETAUSDT',
  95.     'TKOUSDT','TLMUSDT','TOMOUSDT','TORNUSDT','TRBUSDT',
  96.     'TRIBEUSDT','TROYUSDT','TRUUSDT','TRXUSDT','TUSDT',
  97.     'TVKUSDT','TWTUSDT','UMAUSDT','UNFIUSDT','UNIUSDT',
  98.     'UTKUSDT','VETUSDT','VGXUSDT','VIDTUSDT','VITEUSDT',
  99.     'VOXELUSDT','VTHOUSDT','WANUSDT','WAVESUSDT','WAXPUSDT',
  100.     'WINGUSDT','WINUSDT','WNXMUSDT','WOOUSDT','WRXUSDT',
  101.     'WTCUSDT','XECUSDT','XEMUSDT','XLMUSDT','XMRUSDT',
  102.     'XNOUSDT','XRPUSDT','XTZUSDT','XVGUSDT','XVSUSDT',
  103.     'YFIIUSDT','YFIUSDT','YGGUSDT','ZECUSDT','ZENUSDT',
  104.     'ZILUSDT','ZRXUSDT'
  105.     ]
  106.  
  107.  
  108.  
  109. def filter1(pair):
  110.  
  111.     interval = '4h'
  112.     symbol = pair
  113.     klines = trader.client.get_klines(symbol=symbol,interval=interval)
  114.     open_time = [int(entry[0]) for entry in klines]
  115.     close = [float(entry[4]) for entry in klines]
  116.     close_array = np.asarray(close)
  117.  
  118.     print("on 4h timeframe " + symbol)
  119.  
  120.     x = close
  121.     y = range(len(x))
  122.  
  123.     best_fit_line1 = np.poly1d(np.polyfit(y, x, 1))(y)
  124.     best_fit_line2 = (np.poly1d(np.polyfit(y, x, 1))(y)) * 1.01
  125.     best_fit_line3 = (np.poly1d(np.polyfit(y, x, 1))(y)) * 0.99
  126.  
  127.     if x[-1] < best_fit_line3[-1] and best_fit_line1[0] <= best_fit_line1[-1]:
  128.         filtered_pairs1.append(symbol)
  129.         print('found')
  130.  
  131.         #plt.figure(figsize=(8,6))
  132.         #plt.grid(True)
  133.         #plt.plot(x)
  134.         #plt.plot(best_fit_line1, '--', color='r')
  135.         #plt.plot(best_fit_line2, '--', color='r')
  136.         #plt.plot(best_fit_line3, '--', color='r')
  137.         #plt.show(block=False)
  138.         #plt.pause(6)
  139.         #plt.close()
  140.  
  141.     elif x[-1] < best_fit_line3[-1] and best_fit_line1[0] >= best_fit_line1[-1]:
  142.         filtered_pairs1.append(symbol)
  143.         print('found')
  144.  
  145.         #plt.figure(figsize=(8,6))
  146.         #plt.grid(True)
  147.         #plt.plot(x)
  148.         #plt.plot(best_fit_line1, '--', color='r')
  149.         #plt.plot(best_fit_line2, '--', color='r')
  150.         #plt.plot(best_fit_line3, '--', color='r')
  151.         #plt.show(block=False)
  152.         #plt.pause(6)
  153.         #plt.close()
  154.  
  155.     else:
  156.         print('searching')
  157.  
  158. def filter2(filtered_pairs1):
  159.     interval = '1h'
  160.     symbol = filtered_pairs1
  161.     klines = trader.client.get_klines(symbol=symbol,interval=interval)
  162.     open_time = [int(entry[0]) for entry in klines]
  163.     close = [float(entry[4]) for entry in klines]
  164.     close_array = np.asarray(close)
  165.  
  166.     print("on 1h timeframe " + symbol)
  167.  
  168.     x = close
  169.     y = range(len(x))
  170.  
  171.     best_fit_line1 = np.poly1d(np.polyfit(y, x, 1))(y)
  172.     best_fit_line2 = (np.poly1d(np.polyfit(y, x, 1))(y)) * 1.01
  173.     best_fit_line3 = (np.poly1d(np.polyfit(y, x, 1))(y)) * 0.99
  174.  
  175.     if x[-1] < best_fit_line3[-1] and best_fit_line1[0] < best_fit_line1[-1]:
  176.         filtered_pairs2.append(symbol)
  177.         print('found')
  178.  
  179.         #plt.figure(figsize=(8,6))
  180.         #plt.grid(True)
  181.         #plt.plot(x)
  182.         #plt.plot(best_fit_line1, '--', color='r')
  183.         #plt.plot(best_fit_line2, '--', color='r')
  184.         #plt.plot(best_fit_line3, '--', color='r')
  185.         #plt.show(block=False)
  186.         #plt.pause(6)
  187.         #plt.close()
  188.  
  189.     if x[-1] < best_fit_line3[-1] and best_fit_line1[0] >= best_fit_line1[-1]:
  190.         filtered_pairs2.append(symbol)
  191.         print('found')
  192.  
  193.         #plt.figure(figsize=(8,6))
  194.         #plt.grid(True)
  195.         #plt.plot(x)
  196.         #plt.plot(best_fit_line1, '--', color='r')
  197.         #plt.plot(best_fit_line2, '--', color='r')
  198.         #plt.plot(best_fit_line3, '--', color='r')
  199.         #plt.show(block=False)
  200.         #plt.pause(6)
  201.         #plt.close()
  202.  
  203. def filter3(filtered_pairs2):
  204.     interval = '15m'
  205.     symbol = filtered_pairs2
  206.     klines = trader.client.get_klines(symbol=symbol,interval=interval)
  207.     open_time = [int(entry[0]) for entry in klines]
  208.     close = [float(entry[4]) for entry in klines]
  209.     close_array = np.asarray(close)
  210.  
  211.     print("on 15m timeframe " + symbol)
  212.  
  213.     #min = ta.MIN(close_array, timeperiod=30)
  214.     #max = ta.MAX(close_array, timeperiod=30)
  215.  
  216.     #real = ta.HT_TRENDLINE(close_array)
  217.     #wcl = ta.WCLPRICE(max, min, close_array)
  218.    
  219.     print(close[-1])
  220.     print()
  221.     #print(min[-1])
  222.     #print(max[-1])
  223.     #print(real[-1])    
  224.  
  225.     x = close
  226.     y = range(len(x))
  227.  
  228.     best_fit_line1 = np.poly1d(np.polyfit(y, x, 1))(y)
  229.     best_fit_line2 = (np.poly1d(np.polyfit(y, x, 1))(y)) * 1.01
  230.     best_fit_line3 = (np.poly1d(np.polyfit(y, x, 1))(y)) * 0.99
  231.  
  232.     if x[-1] < best_fit_line1[-1]:
  233.         filtered_pairs3.append(symbol)
  234.         print('found')
  235.  
  236.         #plt.figure(figsize=(8,6))
  237.         #plt.title(symbol)
  238.         #plt.grid(True)
  239.         #plt.plot(close)
  240.         #plt.plot(best_fit_line1, '--', color='r')
  241.         #plt.plot(best_fit_line2, '--', color='r')
  242.         #plt.plot(best_fit_line3, '--', color='r')
  243.         #plt.plot(close)
  244.         #plt.plot(min)
  245.         #plt.plot(max)
  246.         #plt.plot(real)
  247.         #plt.show(block=False)
  248.         #plt.pause(5)
  249.         #plt.close()
  250.  
  251.     else:
  252.         print('searching')
  253.  
  254.  
  255. def momentum(filtered_pairs3):
  256.     interval = '1m'
  257.     symbol = filtered_pairs3
  258.     klines = trader.client.get_klines(symbol=symbol,interval=interval)
  259.     open_time = [int(entry[0]) for entry in klines]
  260.     close = [float(entry[4]) for entry in klines]
  261.     close_array = np.asarray(close)
  262.  
  263.     print("on 1m timeframe " + symbol)
  264.  
  265.     real = ta.CMO(close_array, timeperiod=14)
  266.     #print(real[-1])
  267.  
  268.     if real[-1] < -50:
  269.         print('oversold dip found')
  270.         selected_pair.append(symbol)
  271.         selected_pairCMO.append(real[-1])
  272.  
  273.     else:
  274.         print('searching')
  275.  
  276.  
  277. for i in trading_pairs:
  278.     output = filter1(i)
  279.     print(filtered_pairs1)
  280.  
  281. for i in filtered_pairs1:
  282.     output = filter2(i)
  283.     print(filtered_pairs2)
  284.  
  285. for i in filtered_pairs2:
  286.     output = filter3(i)
  287.     print(filtered_pairs3)
  288.  
  289. for i in filtered_pairs3:
  290.     output = momentum(i)
  291.     print(selected_pair)
  292.  
  293. if len(selected_pair) > 1:
  294.     print('dips are more then 1 oversold')
  295.     print(selected_pair)
  296.     #print(selected_pairCMO)
  297.    
  298.     if min(selected_pairCMO) in selected_pairCMO:
  299.         #print(selected_pairCMO.index(min(selected_pairCMO)))
  300.         position = selected_pairCMO.index(min(selected_pairCMO))
  301.  
  302.     for id, value in enumerate(selected_pair):
  303.         if id == position:
  304.             print(selected_pair[id])
  305.     #sys.exit()
  306.  
  307. elif len(selected_pair) == 1:
  308.     print('1 dip found')  
  309.     print(selected_pair)
  310.     #print(selected_pairCMO)
  311.     #sys.exit()
  312.  
  313. else:
  314.     print('no oversold dips for the moment, rescan dips...')
  315.  
  316.     #print(selected_pair)
  317.     #print(selected_pairCMO)
  318.     #os.execl(sys.executable, sys.executable, *sys.argv)
  319.  
  320.    
  321.  
  322. sys.exit(0)
  323. sys.exit()
  324. exit()
  325.  
  326.  
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