def __init__(self, mode):
# In case of any errors
self.error = False
# Display Header
display_header()
# Bot mode
self.mode = mode
# Constants
self.PERIOD = 14
self.HIGH = 80
self.LOW = 20
self.MFI_MARGIN = 3
# Assign variables
self.symbol = enter_data()
if self.mode == 'active':
# Setup Plot
plt.style.use('seaborn')
self.fig, (self.ax1, self.ax2) = plt.subplots(2, 1)
# Account references
self.__orders = Orders()
self.__account = Account()
self.__market = Market()
# Dataframe to store data
self.df = pd.DataFrame()
# Qty to purchase
self.QTY = 1000
# Tracks position status
self.in_position = False
# Keeps track of the buying price
self.buy_price = 0
# Init websocket
self.ws = WebSocket(self)
# Setup the plot's process
self.p = Process(target=self.plot_live_graph)
elif self.mode == 'test':
self.hist_df = pd.DataFrame()
self.mfi = None
def __init__(self, mode):
# Set bot mode
self.mode = mode
# In case something goes wrong
self.error = False
# Period over which calculations will be made
self.PERIOD = 20
# Display header
display_header()
# Enter asset
self.symbol = enter_data()
if self.mode == 'active':
# Setup Plot
plt.style.use('seaborn')
self.fig, self.ax = plt.subplots()
# Account references
self.__orders = Orders()
self.__account = Account()
self.__market = Market()
# Dataframe to store data
self.df = pd.DataFrame()
# Qty to purchase
self.QTY = 1000
# Track buy price
self.buy_price = 0
# Tracks position status
self.in_position = False
# Tracks the close prices
self.closes = []
# Init websocket
self.ws = WebSocket(self)
# Setup the plot's process
self.p = Process(target=self.plot_live_graph)
elif self.mode == 'test':
# self.position = False
self.hist_df = pd.DataFrame()
def __init__(self, mode):
# In case of any error
self.error = False
# Bot mode
self.mode = mode
# Display Header
display_header()
self.symbol = enter_data()
if self.mode == 'active':
# Setup Plot
plt.style.use('seaborn')
self.fig, self.ax = plt.subplots()
# Account references
self.__orders = Orders()
self.__account = Account()
self.__market = Market()
# Dataframe to store data
self.df = pd.DataFrame()
# Qty to purchase
self.QTY = 50
# Tracks position status
self.in_position = False
# Tracks the close prices
self.closes = []
# Init websocket
self.ws = WebSocket(self)
# Track buy price
self.buy_price = 0
# Setup the plot's process
self.p = Process(target=self.plot_live_graph)
elif self.mode == 'test':
self.hist_df = pd.DataFrame()
else:
print('Weird!')
def __init__(self):
# Period over which calculations will be made
self.PERIOD = 20
# Display header
display_header()
# Enter asset
self.symbol = enter_data()
self.counter = 0
self.buy_price = 0
# Setup Plot
plt.style.use('seaborn')
self.fig, self.ax = plt.subplots()
# Account references
self.__orders = Orders()
self.__account = Account()
self.__market = Market()
# Dataframe to store data
self.df = pd.DataFrame()
# Qty to purchase
self.QTY = 3000
# Tracks position status
self.in_position = False
# Tracks the close prices
self.closes = []
# Init websocket
self.ws = WebSocket(self)
# Setup the plot's process
self.p = Process(target=self.plot_live_graph)