Acquiring MACD data from Sea of BTC API
# The code for changing pages was derived from: http://stackoverflow.com/questions/7546050/switch-between-two-frames-in-tkinter
# License: http://creativecommons.org/licenses/by-sa/3.0/
import matplotlib
matplotlib.use('TkAgg')
import matplotlib.animation as animation
from numpy import arange, sin, pi
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg, NavigationToolbar2TkAgg
from matplotlib.figure import Figure
import matplotlib.dates as mdates
import matplotlib.ticker as mticker
from matplotlib.finance import candlestick_ohlc
import tkinter as tk
from tkinter import ttk
from matplotlib import style
import urllib
import json
import pandas as pd
import numpy as np
from matplotlib import pyplot as plt
style.use('ggplot')
LARGE_FONT= ("Verdana", 12)
NORM_FONT = ("Helvetica", 10)
SMALL_FONT = ("Helvetica", 8)
f = plt.figure()
a = f.add_subplot(111)
exchange = "BTC-e"
DatCounter = 9000
programName = "btce"
resampleSize = "15Min"
#########################
## set this to 1day.
DataPace = "1d"
########################
paneCount = 1
candleWidth = 0.008
topIndicator = "none"
bottomIndicator = "none"
middleIndicator = "none"
chartLoad = True
EMAs = []
SMAs = []
darkColor = '#183A54'
lightColor = '#00A3E0'
def tutorial():
def leavemini(what):
what.destroy()
def page2():
leavemini(tut)
tut2 = tk.Tk()
def leavemini2(what):
what.destroy()
def page3():
leavemini2(tut2)
tut3 = tk.Tk()
tut3.wm_title("part 3!")
label = ttk.Label(tut3, text="Part 3", font=NORM_FONT)
label.pack(side="top", fill="x", pady=10)
B1 = ttk.Button(tut3, text = "Done!", command = tut3.destroy)
B1.pack()
tut3.mainloop()
tut2.wm_title("part 2!")
label = ttk.Label(tut2, text="Part 2", font=NORM_FONT)
label.pack(side="top", fill="x", pady=10)
B1 = ttk.Button(tut2, text = "next!", command = page3)
B1.pack()
tut.mainloop()
tut = tk.Tk()
tut.wm_title("Tutorial")
label = ttk.Label(tut, text="What do you need help with?", font=NORM_FONT)
label.pack(side="top", fill="x", pady=10)
B1 = ttk.Button(tut, text = "Overview of the application", command = page2)
B1.pack()
B2 = ttk.Button(tut, text = "How do I trade here?", command=lambda: popupmsg('Not supported just yet!'))
B2.pack()
B3 = ttk.Button(tut, text = "Indicator questions/help", command=lambda: popupmsg('Not supported just yet!'))
B3.pack()
tut.mainloop()
def loadChart(run):
global chartLoad
if run == 'start':
chartLoad = True
elif run == 'stop':
chartLoad = False
def addTopIndicator(what):
global topIndicator
global DatCounter
if DataPace == "tick":
popupmsg("Indicators in Tick Data not available, choose 1 minute tf if you want short term.")
if what == "none":
topIndicator = what
DatCounter = 9000
elif what == "rsi":
rsiQ = tk.Tk()
rsiQ.wm_title("Periods?")
label = ttk.Label(rsiQ, text="Choose how many periods you want each RSI calculation to consider.\nThese periods are contingent on your current time settings on the chart. 1 period = 1 OHLC candlestick.", font=NORM_FONT)
label.pack(side="top", fill="x", pady=10)
e = ttk.Entry(rsiQ)
e.insert(0,14)
e.pack()
e.focus_set()
def callback():
global topIndicator
global DatCounter
periods = (e.get())
group = []
group.append("rsi")
group.append(periods)
topIndicator = group
DatCounter = 9000
print("set top indicator to",group)
rsiQ.destroy()
b = ttk.Button(rsiQ, text="Submit", width=10, command=callback)
b.pack()
tk.mainloop()
elif what == "macd":
global topIndicator
global DatCounter
topIndicator = "macd"
DatCounter = 9000
def addMiddleIndicator(what):
global middleIndicator
global DatCounter
if DataPace == "tick":
popupmsg("Indicators in Tick Data not available, choose 1 minute tf if you want short term.")
if what != "none":
if middleIndicator == "none":
if what == "sma":
midIQ = tk.Tk()
midIQ.wm_title("Periods?")
label = ttk.Label(midIQ, text="Choose how many periods you want each SMA calculation to consider.\nThese periods are contingent on your current time settings on the chart.\n1 period = 1 OHLC candlestick.", font=NORM_FONT)
label.pack(side="top", fill="x", pady=10)
e = ttk.Entry(midIQ)
e.insert(0,10)
e.pack()
e.focus_set()
def callback():
global middleIndicator
global DatCounter
middleIndicator = []
periods = (e.get())
group = []
group.append("sma")
group.append(int(periods))
middleIndicator.append(group)
DatCounter = 9000
print("mid indicator",middleIndicator)
midIQ.destroy()
b = ttk.Button(midIQ, text="Submit", width=10, command=callback)
b.pack()
tk.mainloop()
if what == "ema":
midIQ = tk.Tk()
midIQ.wm_title("Periods?")
label = ttk.Label(midIQ, text="Choose how many periods you want each EMA calculation to consider.\nThese periods are contingent on your current time settings on the chart.\n1 period = 1 OHLC candlestick.", font=NORM_FONT)
label.pack(side="top", fill="x", pady=10)
e = ttk.Entry(midIQ)
e.insert(0,10)
e.pack()
e.focus_set()
def callback():
global middleIndicator
global DatCounter
middleIndicator = []
periods = (e.get())
group = []
group.append("ema")
group.append(int(periods))
middleIndicator.append(group)
DatCounter = 9000
print("mid indicator",middleIndicator)
midIQ.destroy()
b = ttk.Button(midIQ, text="Submit", width=10, command=callback)
b.pack()
tk.mainloop()
else:
if what == "sma":
midIQ = tk.Tk()
midIQ.wm_title("Periods?")
label = ttk.Label(midIQ, text="Choose how many periods you want each SMA calculation to consider.\nThese periods are contingent on your current time settings on the chart.\n1 period = 1 OHLC candlestick.", font=NORM_FONT)
label.pack(side="top", fill="x", pady=10)
e = ttk.Entry(midIQ)
e.insert(0,10)
e.pack()
e.focus_set()
def callback():
global middleIndicator
global DatCounter
periods = (e.get())
group = []
group.append("sma")
group.append(int(periods))
middleIndicator.append(group)
DatCounter = 9000
print("mid indicator",middleIndicator)
midIQ.destroy()
b = ttk.Button(midIQ, text="Submit", width=10, command=callback)
b.pack()
tk.mainloop()
if what == "ema":
midIQ = tk.Tk()
midIQ.wm_title("Periods?")
label = ttk.Label(midIQ, text="Choose how many periods you want each EMA calculation to consider.\nThese periods are contingent on your current time settings on the chart.\n1 period = 1 OHLC candlestick.", font=NORM_FONT)
label.pack(side="top", fill="x", pady=10)
e = ttk.Entry(midIQ)
e.insert(0,10)
e.pack()
e.focus_set()
def callback():
global middleIndicator
global DatCounter
periods = (e.get())
group = []
group.append("ema")
group.append(int(periods))
middleIndicator.append(group)
DatCounter = 9000
print("mid indicator",middleIndicator)
midIQ.destroy()
b = ttk.Button(midIQ, text="Submit", width=10, command=callback)
b.pack()
tk.mainloop()
else:
middleIndicator = "none"
def addBottomIndicator(what):
global bottomIndicator
global DatCounter
if DataPace == "tick":
popupmsg("Indicators in Tick Data not available, choose 1 minute tf if you want short term.")
if what == "none":
bottomIndicator = what
DatCounter = 9000
elif what == "rsi":
rsiQ = tk.Tk()
rsiQ.wm_title("Periods?")
label = ttk.Label(rsiQ, text="Choose how many periods you want each RSI calculation to consider.\nThese periods are contingent on your current time settings on the chart. 1 period = 1 OHLC candlestick.", font=NORM_FONT)
label.pack(side="top", fill="x", pady=10)
e = ttk.Entry(rsiQ)
e.insert(0,14)
e.pack()
e.focus_set()
def callback():
global bottomIndicator
global DatCounter
periods = (e.get())
group = []
group.append("rsi")
group.append(periods)
bottomIndicator = group
DatCounter = 9000
print("set top indicator to",group)
rsiQ.destroy()
b = ttk.Button(rsiQ, text="Submit", width=10, command=callback)
b.pack()
tk.mainloop()
elif what == "macd":
global bottomIndicator
global DatCounter
bottomIndicator = "macd"
DatCounter = 9000
def changeTimeFrame(tf):
global DataPace
global DatCounter
if tf == '7d' and resampleSize == '1Min':
popupmsg("Too much data chosen, choose a smaller data time frame or higher OHLC Interval!")
else:
DataPace = tf
DatCounter = 9000
def changeSampleSize(size,width):
global resampleSize
global DatCounter
global candleWidth
if DataPace == '7d' and size == '1Min':
popupmsg("Too much data chosen, choose a smaller Data Time Frame or higher OHLC Interval!")
if DataPace == 'tick':
popupmsg("You are currently viewing tick data, not OHLC. Choose a larger Data Time Frame!")
else:
resampleSize = size
DatCounter = 9000
candleWidth = width
def popupmsg(msg):
popup = tk.Tk()
def leavemini():
popup.destroy()
popup.wm_title("!")
label = ttk.Label(popup, text=msg, font=NORM_FONT)
label.pack(side="top", fill="x", pady=10)
B1 = ttk.Button(popup, text = "Okay", command = leavemini)
B1.pack()
popup.mainloop()
def changeExchange(toWhat,pn):
global exchange
global DatCounter
global programName
exchange = toWhat
programName = pn
DatCounter = 9000
def animate(i):
global refreshRate
global DatCounter
##################################
##################################
def computeMACD(x, slow=26, fast=12,location="bottom"):
"""
compute the MACD (Moving Average Convergence/Divergence) using a fast and slow exponential moving avg'
return value is emaslow, emafast, macd which are len(x) arrays
"""
values = {'key': 1,'prices':x}
url = "http://seaofbtc.com/api/indicator/macd"
data = urllib.parse.urlencode(values)
data = data.encode('utf-8')
req = urllib.request.Request(url, data)
resp = urllib.request.urlopen(req)
respData = resp.read()
newData = str(respData).replace("b","").replace('[','').replace(']','').replace("'",'')
#print(newData)
split = newData.split('::')
macd = split[0]
ema9 = split[1]
hist = split[2]
macd = macd.split(", ")
ema9 = ema9.split(", ")
hist = hist.split(", ")
try:
macd = [float(i) for i in macd]
except Exception as e:
print(str(e)+" macd")
try:
ema9 = [float(i) for i in ema9]
except Exception as e:
print(str(e)+" ema9")
try:
hist = [float(i) for i in hist]
except Exception as e:
print(str(e)+" hist")
print("call!!!")
if location == "top":
try:
a0.plot(OHLC['MPLDates'][fast:], macd[fast:], color=darkColor, lw=2)
a0.plot(OHLC['MPLDates'][fast:], ema9[fast:], color=lightColor, lw=1)
a0.fill_between(OHLC['MPLDates'][fast:], hist[fast:], 0, alpha=0.5, facecolor=darkColor, edgecolor=darkColor)
datLabel = "MACD"
a0.set_ylabel(datLabel)
except Exception as e:
print(str(e))
topIndicator = "none"
elif location == "bottom":
try:
a3.plot(OHLC['MPLDates'][fast:], macd[fast:], color=darkColor, lw=2)
a3.plot(OHLC['MPLDates'][fast:], ema9[fast:], color=lightColor, lw=1)
a3.fill_between(OHLC['MPLDates'][fast:], hist[fast:], 0, alpha=0.5, facecolor=darkColor, edgecolor=darkColor)
datLabel = "MACD"
a3.set_ylabel(datLabel)
except Exception as e:
print(str(e))
bottomIndicator = "none"
##################################
##################################
def rsiIndicator(priceData,location="top"):
if location == "top":
values = {'key': 1,'prices':priceData,'periods':topIndicator[1]}
elif location == "bottom":
values = {'key': 1,'prices':priceData,'periods':bottomIndicator[1]}
url = "http://seaofbtc.com/api/indicator/rsi"
data = urllib.parse.urlencode(values)
data = data.encode('utf-8')
req = urllib.request.Request(url, data)
resp = urllib.request.urlopen(req)
respData = resp.read()
newData = str(respData).replace("b","").replace('[','').replace(']','').replace("'",'')
priceList = newData.split(', ')
rsiData = [float(i) for i in priceList]
print("call!!!")
if location == "top":
a0.plot_date(OHLC['MPLDates'], rsiData,lightColor, label ="RSI")
datLabel = "RSI("+str(topIndicator[1])+")"
a0.set_ylabel(datLabel)
elif location == "bottom":
a3.plot_date(OHLC['MPLDates'], rsiData,lightColor, label ="RSI")
datLabel = "RSI("+str(bottomIndicator[1])+")"
a3.set_ylabel(datLabel)
def moving_average(x, n, type='simple'):
x = np.asarray(x)
if type=='simple':
weights = np.ones(n)
else:
weights = np.exp(np.linspace(-1, 0, n))
weights /= weights.sum()
a = np.convolve(x, weights, mode='full')[:len(x)]
return a
if chartLoad:
if paneCount == 1:
if DataPace == "tick":
try:
if exchange == "BTC-e":
a = plt.subplot2grid((6,4), (0,0), rowspan=5, colspan=4)
a2 = plt.subplot2grid((6,4), (5,0), rowspan=1, colspan=4, sharex = a)
dataLink = 'https://btc-e.com/api/3/trades/btc_usd?limit=2000'
data = urllib.request.urlopen(dataLink)
data = data.readall().decode('utf-8')
data = json.loads(data)
data = data["btc_usd"]
data = pd.DataFrame(data)
data["datestamp"] = np.array(data['timestamp']).astype('datetime64[s]')
allDates = data["datestamp"].tolist()
buys = data[(data['type']=='bid')]
buyDates = (buys["datestamp"]).tolist()
sells = data[(data['type']=='ask')]
sellDates = (sells["datestamp"]).tolist()
volume = data["amount"]
a.clear()
a.plot_date(buyDates,buys["price"], lightColor, label ="buys")
a.plot_date(sellDates,sells["price"], darkColor, label = "sells")
a2.fill_between(allDates,0, volume, facecolor='#183A54')
a.xaxis.set_major_locator(mticker.MaxNLocator(5))
a.xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m-%d %H:%M'))
plt.setp(a.get_xticklabels(), visible=False)
a.legend(bbox_to_anchor=(0., 1.02, 1., .102), loc=3,
ncol=2, borderaxespad=0.)
title = 'Last Price: '+str(data["price"][1999])
a.set_title(title)
if exchange == 'Bitstamp':
a = plt.subplot2grid((6,4), (0,0), rowspan=5, colspan=4)
a2 = plt.subplot2grid((6,4), (5,0), rowspan=1, colspan=4, sharex = a)
dataLink = 'https://www.bitstamp.net/api/transactions/'
data = urllib.request.urlopen(dataLink)
data = data.readall().decode('utf-8')
data = json.loads(data)
data = pd.DataFrame(data)
data["datestamp"] = np.array(data['date'].apply(int)).astype('datetime64[s]')
datestamps = data["datestamp"].tolist()
volume = data["amount"].apply(float).tolist()
a.clear()
a.plot_date(datestamps,data["price"], '#183A54')
a2.fill_between(datestamps,0, volume, facecolor='#183A54')
a.xaxis.set_major_locator(mticker.MaxNLocator(5))
a.xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m-%d %H:%M'))
plt.setp(a.get_xticklabels(), visible=False)
title = exchange+' Tick Data\nLast Price: '+str(data["price"][0])
a.set_title(title)
priceData = data["price"].apply(float).tolist()
if exchange == 'Bitfinex':
a = plt.subplot2grid((6,4), (0,0), rowspan=5, colspan=4)
a2 = plt.subplot2grid((6,4), (5,0), rowspan=1, colspan=4, sharex = a)
dataLink = 'https://api.bitfinex.com/v1/trades/btcusd?limit=2000'
data = urllib.request.urlopen(dataLink)
data = data.readall().decode('utf-8')
data = json.loads(data)
data = pd.DataFrame(data)
volume = data["amount"].apply(float).tolist()
data["datestamp"] = np.array(data['timestamp']).astype('datetime64[s]')
allDates = data["datestamp"].tolist()
buys = data[(data['type']=='buy')]
buyDates = (buys["datestamp"]).tolist()
sells = data[(data['type']=='sell')]
sellDates = (sells["datestamp"]).tolist()
a.clear()
a.plot_date(buyDates,buys["price"], lightColor, label ="buys")
a.plot_date(sellDates,sells["price"], darkColor, label = "sells")
a2.fill_between(allDates,0, volume, facecolor='#183A54')
a.xaxis.set_major_locator(mticker.MaxNLocator(5))
a.xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m-%d %H:%M'))
plt.setp(a.get_xticklabels(), visible=False)
a.legend(bbox_to_anchor=(0., 1.02, 1., .102), loc=3,
ncol=2, borderaxespad=0.)
title = exchange+' Tick Data\nLast Price: '+str(data["price"][0])
a.set_title(title)
priceData = data["price"].apply(float).tolist()
if exchange == 'Huobi':
try:
a = plt.subplot2grid((6,4), (0,0), rowspan=6, colspan=4)
data = urllib.request.urlopen('http://seaofbtc.com/api/basic/price?key=1&tf=1d&exchange='+programName).read()
data = str(data).replace('b','').replace("'",'')
data = json.loads(data)
dateStamp = np.array(data[0]).astype('datetime64[s]')
dateStamp = dateStamp.tolist()
print('here')
df = pd.DataFrame({'Datetime':dateStamp})
df['Price'] = data[1]
df['Volume'] = data[2]
df['Symbol'] = "BTCUSD"
df['MPLDate'] = df['Datetime'].apply(lambda date: mdates.date2num(date.to_pydatetime()))
df = df.set_index('Datetime')
lastPrice = df['Price'][-1]
a.plot_date(df['MPLDate'][-4500:],df['Price'][-4500:], lightColor, label ="price")
a.xaxis.set_major_locator(mticker.MaxNLocator(5))
a.xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m-%d %H:%M'))
title = exchange+' Tick Data\nLast Price: '+str(lastPrice)
a.set_title(title)
priceData = df['Price'].apply(float).tolist()
except Exception as e:
print(str(e))
except Exception as e:
print("failed",str(e))
DatCounter = 9000
##### ALL OTHER, NON-TICK, DATA. ##################################
else:
if DatCounter > 12:
try:
if exchange == 'Huobi':
if topIndicator != "none":
a = plt.subplot2grid((6,4), (1,0), rowspan=5, colspan=4)
a0 = plt.subplot2grid((6,4), (0,0), sharex=a, rowspan=1, colspan=4)
else:
a = plt.subplot2grid((6,4), (0,0), rowspan=6, colspan=4)
else:
if topIndicator != "none" and bottomIndicator != "none":
# actual price chart.
a = plt.subplot2grid((6,4), (1,0), rowspan=3, colspan=4)
# volume!
a2 = plt.subplot2grid((6,4), (4,0), sharex=a, rowspan=1, colspan=4)
# top indicator
a0 = plt.subplot2grid((6,4), (0,0), sharex=a, rowspan=1, colspan=4)
# bottom indicator
a3 = plt.subplot2grid((6,4), (5,0), sharex=a, rowspan=1, colspan=4)
elif topIndicator != "none":
a = plt.subplot2grid((6,4), (1,0), rowspan=4, colspan=4)
a2 = plt.subplot2grid((6,4), (5,0), sharex=a, rowspan=1, colspan=4)
a0 = plt.subplot2grid((6,4), (0,0), sharex=a, rowspan=1, colspan=4)
elif bottomIndicator != "none":
a = plt.subplot2grid((6,4), (0,0), rowspan=4, colspan=4)
a2 = plt.subplot2grid((6,4), (4,0), sharex=a, rowspan=1, colspan=4)
#a0 = plt.subplot2grid((6,4), (0,0), sharex=a, rowspan=1, colspan=4)
a3 = plt.subplot2grid((6,4), (5,0), sharex=a, rowspan=1, colspan=4)
else:
a = plt.subplot2grid((6,4), (0,0), rowspan=5, colspan=4)
a2 = plt.subplot2grid((6,4), (5,0), sharex=a, rowspan=1, colspan=4)
print('http://seaofbtc.com/api/basic/price?key=1&tf='+DataPace+'&exchange='+programName)
data = urllib.request.urlopen('http://seaofbtc.com/api/basic/price?key=1&tf='+DataPace+'&exchange='+programName).read()
data = str(data).replace('b','').replace("'",'')
data = json.loads(data)
dateStamp = np.array(data[0]).astype('datetime64[s]')
dateStamp = dateStamp.tolist()
df = pd.DataFrame({'Datetime':dateStamp})
df['Price'] = data[1]
df['Volume'] = data[2]
df['Symbol'] = "BTCUSD"
df['MPLDate'] = df['Datetime'].apply(lambda date: mdates.date2num(date.to_pydatetime()))
df = df.set_index('Datetime')
OHLC = df['Price'].resample(resampleSize, how='ohlc')
OHLC = OHLC.dropna()
volumeData = df['Volume'].resample(resampleSize, how={'volume':'sum'})
OHLC['dateCopy'] = OHLC.index
OHLC['MPLDates'] = OHLC['dateCopy'].apply(lambda date: mdates.date2num(date.to_pydatetime()))
del OHLC['dateCopy']
volumeData['dateCopy'] = volumeData.index
volumeData['MPLDates'] = volumeData['dateCopy'].apply(lambda date: mdates.date2num(date.to_pydatetime()))
del volumeData['dateCopy']
priceData = OHLC['close'].apply(float).tolist()
a.clear()
if middleIndicator != "none":
for eachMA in middleIndicator:
ewma = pd.stats.moments.ewma
if eachMA[0] == "sma":
sma = pd.rolling_mean(OHLC["close"],eachMA[1])
label = str(eachMA[1])+" SMA"
a.plot(OHLC['MPLDates'],sma, label=label)
if eachMA[0] == "ema":
ewma = pd.stats.moments.ewma
label = str(eachMA[1])+" EMA"
a.plot(OHLC['MPLDates'],ewma(OHLC["close"], eachMA[1]), label=label)
a.legend(loc=0)
if topIndicator[0] == "rsi":
rsiIndicator(priceData,"top")
elif topIndicator == "macd":
try:
computeMACD(priceData,location="top")
except:
print("failed macd")
if bottomIndicator[0] == "rsi":
rsiIndicator(priceData,"bottom")
elif bottomIndicator == "macd":
try:
computeMACD(priceData,location="bottom")
except:
print("failed macd")
csticks = candlestick_ohlc(a, OHLC[['MPLDates', 'open', 'high', 'low', 'close']].values, width=candleWidth, colorup=lightColor, colordown=darkColor)
a.set_ylabel("price")
if exchange != 'Huobi':
a2.fill_between(volumeData['MPLDates'],0, volumeData['volume'], facecolor='#183A54')#, alpha=.4)
a2.set_ylabel("volume")
a.xaxis.set_major_locator(mticker.MaxNLocator(3))
a.xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m-%d %H:%M'))
plt.setp(a.get_xticklabels(), visible=False)
if topIndicator != "none":
plt.setp(a0.get_xticklabels(), visible=False)
if bottomIndicator != "none":
plt.setp(a2.get_xticklabels(), visible=False)
x = (len(OHLC['close']))-1
if DataPace == '1d':
title = exchange+' 1 Day Data with '+resampleSize+' Bars\nLast Price: '+str(OHLC['close'][x])
if DataPace == '3d':
title = exchange+' 3 Day Data with '+resampleSize+' Bars\nLast Price: '+str(OHLC['close'][x])
if DataPace == '7d':
title = exchange+' 7 Day Data with '+resampleSize+' Bars\nLast Price: '+str(OHLC['close'][x])
if topIndicator != "none":
a0.set_title(title)
else:
a.set_title(title)
print('NewGraph!')
DatCounter = 0
except Exception as e:
print(str(e),"main animate non tick")
DatCounter = 9000
else:
DatCounter += 1
class SeaofBTCapp(tk.Tk):
def __init__(self, *args, **kwargs):
tk.Tk.__init__(self, *args, **kwargs)
tk.Tk.wm_title(self, "Sea of BTC Client")
container = tk.Frame(self)
container.pack(side="top", fill="both", expand = True)
container.grid_rowconfigure(0, weight=1)
container.grid_columnconfigure(0, weight=1)
menubar = tk.Menu(container)
filemenu = tk.Menu(menubar, tearoff=0)
filemenu.add_command(label="Save settings", command=lambda: popupmsg('Not supported just yet!'))
filemenu.add_separator()
filemenu.add_command(label="Exit", command=quit)
menubar.add_cascade(label="File", menu=filemenu)
exchangeChoice = tk.Menu(menubar, tearoff=1)
exchangeChoice.add_command ( label="BTC-e",
command=lambda: changeExchange('BTC-e','btce') )
exchangeChoice.add_command ( label="Bitfinex",
command=lambda: changeExchange('Bitfinex','bitfinex') )
exchangeChoice.add_command ( label="Bitstamp",
command=lambda: changeExchange('Bitstamp','bitstamp') )
exchangeChoice.add_command ( label="Huobi",
command=lambda: changeExchange('Huobi','huobi') )
menubar.add_cascade(label = "Exchange", menu = exchangeChoice)
dataTF = tk.Menu(menubar, tearoff=1)
dataTF.add_command ( label="Tick",
command=lambda: changeTimeFrame('tick') )
dataTF.add_command ( label="1 day",
command=lambda: changeTimeFrame('1d') )
dataTF.add_command ( label="3 day",
command=lambda: changeTimeFrame('3d') )
dataTF.add_command ( label="1 Week",
command=lambda: changeTimeFrame('7d') )
menubar.add_cascade(label = "Data Time Frame", menu = dataTF)
OHLCI = tk.Menu(menubar, tearoff=1)
OHLCI.add_command ( label="Tick",
command=lambda: changeTimeFrame('tick') )
OHLCI.add_command ( label="1 minute",
command=lambda: changeSampleSize('1Min',0.0005) )
OHLCI.add_command ( label="5 minute",
command=lambda: changeSampleSize('5Min',0.003) )
OHLCI.add_command ( label="15 minute",
command=lambda: changeSampleSize('15Min',0.008) )
OHLCI.add_command ( label="30 minute",
command=lambda: changeSampleSize('30Min',0.016) )
OHLCI.add_command ( label="1 Hour",
command=lambda: changeSampleSize('1H',0.032) )
OHLCI.add_command ( label="3 Hour",
command=lambda: changeSampleSize('3H',0.096) )
menubar.add_cascade(label = "OHLC Interval", menu = OHLCI)
topIndi = tk.Menu(menubar, tearoff=1)
topIndi.add_command(label="None",
command=lambda: addTopIndicator('none'))
topIndi.add_separator()
topIndi.add_command ( label="RSI",
command=lambda: addTopIndicator('rsi'))
topIndi.add_command ( label="MACD",
command=lambda: addTopIndicator('macd'))
menubar.add_cascade(label = "Top Indicator", menu = topIndi)
mainI = tk.Menu(menubar, tearoff=1)
mainI.add_command ( label="None",
command=lambda: addMiddleIndicator('none'))
mainI.add_separator()
mainI.add_command ( label="SMA",
command=lambda: addMiddleIndicator('sma'))
mainI.add_command ( label="EMA",
command=lambda: addMiddleIndicator('ema'))
menubar.add_cascade(label = "Main Graph Indicator", menu = mainI)
bottomI = tk.Menu(menubar, tearoff=1)
bottomI.add_command ( label="None",
command=lambda: addBottomIndicator('none'))
bottomI.add_separator()
bottomI.add_command ( label="RSI",
command=lambda: addBottomIndicator('rsi'))
bottomI.add_command ( label="MACD",
command=lambda: addBottomIndicator('macd'))
menubar.add_cascade(label = "Bottom Indicator", menu = bottomI)
tradeButton = tk.Menu(menubar, tearoff=1)
tradeButton.add_command ( label="Manual Trading",
command=lambda: print('NOT live yet'))
tradeButton.add_separator()
tradeButton.add_command ( label="Automated Trading",
command=lambda: print('NOT live yet'))
tradeButton.add_separator()
tradeButton.add_command ( label="Quick Buy",
command=lambda: print('quick buy!'))#, accelerator="Ctrl+B" )
tradeButton.add_command ( label="Quick Sell",
command=lambda: print('quick sell'))#, accelerator="Ctrl+S")
tradeButton.add_separator()
tradeButton.add_command ( label="Set-up Quick Buy/Sell",
command=lambda: print('quick buy!'))
menubar.add_cascade(label = "Trade", menu = tradeButton)
startStop = tk.Menu(menubar, tearoff=1)
startStop.add_command ( label="Resume",
command=lambda: loadChart('start'))
startStop.add_command ( label="Pause",
command=lambda: loadChart('stop'))
menubar.add_cascade(label = "Resume/Pause Client", menu = startStop)
helpmenu = tk.Menu(menubar, tearoff=0)
helpmenu.add_command(label="Tutorial", command=tutorial)
menubar.add_cascade(label="Help", menu=helpmenu)
tk.Tk.config(self, menu=menubar)
self.frames = {}
for F in (StartPage, BTCe_Page):
frame = F(container, self)
self.frames[F] = frame
frame.grid(row=0, column=0, sticky="nsew")
self.show_frame(StartPage)
tk.Tk.iconbitmap(self,default='clienticon.ico')
def show_frame(self, cont):
frame = self.frames[cont]
frame.tkraise()
class StartPage(tk.Frame):
def __init__(self, parent, controller):
tk.Frame.__init__(self,parent)
label = tk.Label(self, text="""The Sea of BTC trading client is a client intended to help traders
interact with their exchanges. We do this by allowing you to enter
your API keys into the program. We, as in Sea of BTC, never
see your API information. The program may save them locally, however,
to make things easier on you. Keep in mind that it is a fantastic idea
to enable 'IP Whitelisting' if your exchange supports it, and only allow
trading via your specific IP address. On most exchanges, even if someone
was to acquire your API key, withdrawals are not possible. Some still
give the option, so make sure this is turned OFF if your exchange allows it.
Sea of BTC makes no promise of warranty, satisfaction, performance, or
anything else. Understand that your use of this client is completely
at your own risk.""", font=LARGE_FONT)
label.pack(side="top", fill="x", pady=10)
button1 = ttk.Button(self, text="Agree",
command=lambda: controller.show_frame(BTCe_Page))
button2 = ttk.Button(self, text="Disagree",
command=quit)
button1.pack()
button2.pack()
class BTCe_Page(tk.Frame):
def __init__(self, parent, controller):
tk.Frame.__init__(self, parent)
label = ttk.Label(self, text="BTC-e Exchange Page", font=LARGE_FONT)
label.pack(pady=10,padx=10)
canvas = FigureCanvasTkAgg(f, self)
canvas.show()
canvas.get_tk_widget().pack(side=tk.TOP, fill=tk.BOTH, expand=1)
toolbar = NavigationToolbar2TkAgg( canvas, self )
toolbar.update()
canvas._tkcanvas.pack(side=tk.TOP, fill=tk.BOTH, expand=1)
app = SeaofBTCapp()
app.geometry("1280x720")
ani = animation.FuncAnimation(f,animate, interval=5000)
app.mainloop()
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