df['ma_l'] = df['close'].rolling(ml).mean().shift(1)
cond = (df['ma_s'] > df['ma_l'])
df['status'] = np.where(cond, 1, 0)
df.iloc[-1, -1] = 0
if (df['status'][-2] == 0) & (df['status'][-1] == 1):
return "지금이니"
elif (df['status'][-2] == 1) & (df['status'][-1] == 0):
return "팔아!"
elif (df['status'][-2] == 1) & (df['status'][-1] == 1):
return "홀딩해"
elif (df['status'][-2] == 0) & (df['status'][-1] == 0):
return "도망쳐"
for coin in Bithumb.get_tickers()[:150]:
f = open("BestMa.txt", 'r')
searchMA = pd.DataFrame(columns=['Ticker', 'MAS', 'MAL'])
try:
df = get_ohlv_MA(coin)
short, long = ma_long_ma_short(df)
get_ohlv(coin, short, long)
new_data = {'Ticker': coin, 'MAS': short, 'MAL': long}
searchMA.append(new_data, ignore_index=True)
print(new_data)
# data = f"Ticker : {coin} MAS : {short} MAL : {long} \n"
long = int(best.iloc[0]['long'])
result = int(best.iloc[0]['result'])
return short, long, result
def get_ohlv_MA(ticker):
df = Bithumb.get_candlestick(ticker, chart_intervals="12h")
return df
searchMA = pd.DataFrame(columns=['Ticker', 'MAS', 'MAL', 'result'])
for coin in Bithumb.get_tickers():
f = open("BestMa.txt", 'r')
try:
df = get_ohlv_MA(coin)
short, long, result = ma_long_ma_short(df)
# get_ohlv(coin, short, long)
new_data = {
'Ticker': coin,
'MAS': short,
'MAL': long,
'result': result
}
searchMA = searchMA.append(new_data, ignore_index=True)
"""
import sys
from PyQt5 import QtGui
from PyQt5 import QtWidgets as Q
from PyQt5.QtCore import *
import time
from pybithumb import Bithumb as B
doing_job = False
from ui import Ui_Dialog
ui_class = Ui_Dialog
coin_list = ["-"] + B.get_tickers()
class autoTrader(QThread):
text_out = pyqtSignal(str)
def __init__(self, access_token, secret_key, coin, buyPrice, sellPrice):
super().__init__()
self.access_token = access_token
self.secret_key = secret_key
self.coin = coin
self.buyPrice = buyPrice
self.sellPrice = sellPrice
def sell_all(self, trader):
qty = trader.get_balance(self.coin)
