Bitcoin Trading Bot for BTC-E.

Trading with Bots for Bitcoins on BTC-E 3Commas Trading Bots If you are HODLer and got some Bitcoins, let it work for you. 3Commas is a comprehensive crypto trading platform that allows users to make use of automated trading bots as well as follow and copy the actions of successful traders and to create and track top portfolios.The bot has to be connected to a wallet. I think I can accomplish this by connecting it to a 3rd party wallet with public API. My bot has to be connected to an exchange that also provides public API which allows automated buying and selling ; My bot has to be able to read the exchange's order book and price. Create a simple algorithm for trading.This is an unofficial Python wrapper for the Binance exchange REST API v1/3. BinanceAPIException as e printe except BinanceWithdrawException as e. client.get_deposit_addressasset='BTC' # start aggregated trade websocket for.So what exactly are bitcoin and crypto trading bots. All major crypto-currency exchanges, such as Coinbase, BTCe, Bitstamp, and more, are. As a fun toy to explore trading, I built a “flipper” cryptocurrency trading bot in python for the Bittrex exchange. It has a trading strategy of attempting to flip between two cryptocurrencies, such as Ethereum and NEO, in hopes to obtain a small position growth each time it flips.A new version of the Haasonline Automated Trading Bot software was released along with an update for the trading platform for existing users. The new Beginner Trade Bot is a bit more limited compared to the Simple and Advanced versions of the trading software, but also comes at a much affordable price, making it ideal for people that want to try it out first without having to invest a lot in.EntrymidIQ e.insert0,10 e.pack e.focus_set def callback global. sharex = a dataLink = 'https//btc-e.com/api/3/trades/btc_usd?limit=2000' data. lambda addBottomIndicator'none' bottomI.add_commandlabel="RSI", command.

Welcome to python-binance v0.7.3 — python-binance 0.2.0.

Button(tut, text = "Indicator Questions/Help", command=lambda:popupmsg("Not yet completed")) B3.pack() tut.mainloop() def load Chart(run): global chart Load if run == "start": chart Load = True elif run == "stop": chart Load = False def add Middle Indicator(what): global middle Indicator global Dat Counter if Data Pace == "tick": popupmsg("Indicators in Tick Data not available.") if what ! Label(mid IQ, text="Choose how many periods you want your SMA to be.") label.pack(side="top", fill="x", pady=10) e = ttk.= "none": if middle Indicator == "none": if what == "sma": mid IQ = tk. Entry(mid IQ) e.insert(0,10) e.pack() e.focus_set() def callback(): global middle Indicator global Dat Counter middle Indicator = [] periods = (e.get()) group = [] group.append("sma") group.append(int(periods)) middle Indicator.append(group) Dat Counter = 9000 print("middle indicator set to:",middle Indicator) mid IQ.destroy() b = ttk. Label(mid IQ, text="Choose how many periods you want your EMA to be.") label.pack(side="top", fill="x", pady=10) e = ttk.Button(mid IQ, text="Submit", width=10, command=callback) b.pack() tk.mainloop() if what == "ema": mid IQ = tk. Entry(mid IQ) e.insert(0,10) e.pack() e.focus_set() def callback(): global middle Indicator global Dat Counter middle Indicator = [] periods = (e.get()) group = [] group.append("ema") group.append(int(periods)) middle Indicator.append(group) Dat Counter = 9000 print("middle indicator set to:",middle Indicator) mid IQ.destroy() b = ttk. Label(mid IQ, text="Choose how many periods you want your SMA to be.") label.pack(side="top", fill="x", pady=10) e = ttk. Button(mid IQ, text="Submit", width=10, command=callback) b.pack() tk.mainloop() else: if what == "sma": mid IQ = tk. Entry(mid IQ) e.insert(0,10) e.pack() e.focus_set() def callback(): global middle Indicator global Dat Counter #middle Indicator = [] periods = (e.get()) group = [] group.append("sma") group.append(int(periods)) middle Indicator.append(group) Dat Counter = 9000 print("middle indicator set to:",middle Indicator) mid IQ.destroy() b = ttk. Label(mid IQ, text="Choose how many periods you want your EMA to be.") label.pack(side="top", fill="x", pady=10) e = ttk.Button(mid IQ, text="Submit", width=10, command=callback) b.pack() tk.mainloop() if what == "ema": mid IQ = tk. Entry(mid IQ) e.insert(0,10) e.pack() e.focus_set() def callback(): global middle Indicator global Dat Counter #middle Indicator = [] periods = (e.get()) group = [] group.append("ema") group.append(int(periods)) middle Indicator.append(group) Dat Counter = 9000 print("middle indicator set to:",middle Indicator) mid IQ.destroy() b = ttk. Label(rsi Q, text = "Choose how many periods you want each RSI calculation to consider.") label.pack(side="top", fill="x", pady=10) e = ttk.Button(mid IQ, text="Submit", width=10, command=callback) b.pack() tk.mainloop() else: middle Indicator = "none" def add Top Indicator(what): global top Indicator global Dat Counter if Data Pace == "tick": popupmsg("Indicators in Tick Data not available.") elif what == "none": top Indicator = what Dat Counter = 9000 elif what == "rsi": rsi Q = tk. Entry(rsi Q) e.insert(0,14) e.pack() e.focus_set() def callback(): global top Indicator global Dat Counter periods = (e.get()) group = [] group.append("rsi") group.append(periods) top Indicator = group Dat Counter = 9000 print("Set top indicator to",group) rsi Q.destroy() b = ttk. Label(rsi Q, text = "Choose how many periods you want each RSI calculation to consider.") label.pack(side="top", fill="x", pady=10) e = ttk.

Button(rsi Q, text="Submit", width=10, command=callback) b.pack() tk.mainloop() elif what == "macd": global top Indicator global Dat Counter top Indicator = "macd" Dat Counter = 9000 def add Bottom Indicator(what): global bottom Indicator global Dat Counter if Data Pace == "tick": popupmsg("Indicators in Tick Data not available.") elif what == "none": bottom Indicator = what Dat Counter = 9000 elif what == "rsi": rsi Q = tk. Entry(rsi Q) e.insert(0,14) e.pack() e.focus_set() def callback(): global bottom Indicator global Dat Counter periods = (e.get()) group = [] group.append("rsi") group.append(periods) bottom Indicator = group Dat Counter = 9000 print("Set bottom indicator to",group) rsi Q.destroy() b = ttk. Label(popup, text=msg, font=NORM_FONT) label.pack(side="top", fill="x", pady=10) B1 = ttk.Button(rsi Q, text="Submit", width=10, command=callback) b.pack() tk.mainloop() elif what == "macd": global bottom Indicator global Dat Counter bottom Indicator = "macd" Dat Counter = 9000 def change Time Frame(tf): global Data Pace global Dat Counter if tf == "7d" and resample Size == "1Min": popupmsg("Too much data chosen, choose a smaller time frame or higher OHLC interval") else: Data Pace = tf Dat Counter = 9000 def change Sample Size(size,width): global resample Size global Dat Counter global candle Width if Data Pace == "7d" and resample Size == "1Min": popupmsg("Too much data chosen, choose a smaller time frame or higher OHLC interval") elif Data Pace == "tick": popupmsg("You're currently viewing tick data, not OHLC.") else: resample Size = size Dat Counter = 9000 candle Width = width def change Exchange(to What,pn): global exchange global Dat Counter global program Name exchange = to What program Name = pn Dat Counter = 9000 def popupmsg(msg): popup = tk. Button(popup, text="Okay", command = popup.destroy) B1.pack() popup.mainloop() def animate(i): global refresh Rate global Dat Counter if chart Load: if pane Count == 1: if Data Pace == "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) data Link = 'https://btc-e.com/api/3/trades/btc_usd?Limit=2000' data = urllib.request.urlopen(data Link) data = data.readall().decode("utf-8") data = json.loads(data) data = data["btc_usd"] data = pd. Discover best cryptocurrency trading bots overviewed for 2019 ️. Get full info about free and paid bitcoin bots 📈 to automate your crypto trading, 💸 top exchanges, features and prices, 💰 the cons and pros of using these tools.I first began coding a crypto / Bitcoin trading bot in Python in April 2018 as a way to automate my trades of cryptocurrency in a way that is data-based to consistently return a profit, andA JavaScript / Python / PHP cryptocurrency trading library with support for 100+ exchanges. A JavaScript / Python / PHP library for cryptocurrency trading and e-commerce. indicator development, algorithmic trading, strategy backtesting, bot. fetchTicker 'BTC/USD' huobi.id, await huobi.

Best Crypto Trading Bots 2020 - Guide on Automated Bitcoin.

C · Java · Javascript · New Language · NodeJS · PHP · Python. Cryptocurrency trading bots can work around the clock and make sure. Haasbot is operated and owned by the company Haas Online. 0.04 BTC for a three-month Beginner Package and 0.32 Bitcoin for a twelve-month advanced license.Freqtrade is a beginner-friendly, open source technical analysis-based crypto trading bot written in Python. The installation is pretty straight forward for anyone with a little technical background. Unlike Hummingbot, Freqtrade asks users to configure their bots during the installation process.A python trading bot for btc-e. Contribute to jwaltz/btc-e_Trade_bot development by creating an account on GitHub. James paxton trade rumors. Key=1&tf=1d&exchange=' program Name).read() data = data.decode() data = json.loads(data) date Stamp = np.array(data[0]).astype("datetime64[s]") date Stamp = date Stamp.tolist() df = pd.Data Frame() 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") last Price = df["Price"][-1] a.plot_date(df['MPLDate'][-4500:], df['Price'][-4500:], light Color, label="price") a.xaxis.set_major_locator(mticker.Max NLocator(5)) a.xaxis.set_major_formatter(mdates. Date Formatter("%Y-%m-%d %H:%M:%S")) title = "Huobi BTCUSD Prices\n Last Price: " str(last Price) a.set_title(title) price Data = df['price'].apply(float).tolist() except Exception as e: print("Failed because of:",e) else: if Dat Counter 12: try: if exchange == "Huobi": if top Indicator !

= "none": a = plt.subplot2grid((6,4),(1,0), rowspan=5, colspan = 4) a2 = 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 top Indicator ! = "none": # Main Graph 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) # Bottom Indicator a3 = plt.subplot2grid((6,4), (5,0), sharex = a, rowspan = 1, colspan = 4) # Top Indicator a0 = plt.subplot2grid((6,4), (0,0), sharex = a, rowspan = 1, colspan = 4) elif top Indicator != "none": # Main Graph a = plt.subplot2grid((6,4), (1,0), rowspan = 4, colspan = 4) # Volume a2 = plt.subplot2grid((6,4), (5,0), sharex = a, rowspan = 1, colspan = 4) # Top Indicator a0 = plt.subplot2grid((6,4), (0,0), sharex = a, rowspan = 1, colspan = 4) elif bottom Indicator != "none": # Main Graph a = plt.subplot2grid((6,4), (0,0), rowspan = 4, colspan = 4) # Volume a2 = plt.subplot2grid((6,4), (4,0), sharex = a, rowspan = 1, colspan = 4) # Bottom Indicator a3 = plt.subplot2grid((6,4), (5,0), sharex = a, rowspan = 1, colspan = 4) else: # Main Graph a = plt.subplot2grid((6,4), (0,0), rowspan = 5, colspan = 4) # Volume a2 = plt.subplot2grid((6,4), (5,0), sharex = a, rowspan = 1, colspan = 4) data = urllib.request.urlopen(" [[Key=1&tf=" Data Pace "&exchange=" program Name).read() data = data.decode() data = json.loads(data) date Stamp = np.array(data[0]).astype("datetime64[s]") date Stamp = date Stamp.tolist() df = pd. Tk.wm_title(self, "Sea of BTC client") container = tk.Data Frame() 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(resample Size, how="ohlc") OHLC = OHLC.dropna() volume Data = df['Volume'].resample(resample Size, how=) OHLC["date Copy"] = OHLC.index OHLC["MPLDates"] = OHLC["date Copy"].apply(lambda date: mdates.date2num(date.to_pydatetime())) del OHLC["date Copy"] volume Data["date Copy"] = volume Data.index volume Data["MPLDates"] = volume Data["date Copy"].apply(lambda date: mdates.date2num(date.to_pydatetime())) del volume Data["date Copy"] price Data = OHLC['close'].apply(float).tolist() except Exception as e: print('failed in the non-tick animate:',str(e)) class Seaof BTCapp(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(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) exchange Choice = tk.

Python cryptocurrency trading bot -

Menu(menubar, tearoff=1) exchange Choice.add_command(label="BTC-e", command=lambda: change Exchange("BTC-e","btce")) exchange Choice.add_command(label="Bitfinex", command=lambda: change Exchange("Bitfinex","bitfinex")) exchange Choice.add_command(label="Bitstamp", command=lambda: change Exchange("Bitstamp","bitstamp")) exchange Choice.add_command(label="Huobi", command=lambda: change Exchange("Huobi","huobi")) menubar.add_cascade(label="Exchange", menu=exchange Choice) data TF = tk.Menu(menubar, tearoff=1) data TF.add_command(label = "Tick", command=lambda: change Time Frame('tick')) data TF.add_command(label = "1 Day", command=lambda: change Time Frame('1d')) data TF.add_command(label = "3 Day", command=lambda: change Time Frame('3d')) data TF.add_command(label = "1 Week", command=lambda: change Time Frame('7d')) menubar.add_cascade(label = "Data Time Frame", menu = data TF) OHLCI = tk.Menu(menubar, tearoff=1) OHLCI.add_command(label = "Tick", command=lambda: change Time Frame('tick')) OHLCI.add_command(label = "1 minute", command=lambda: change Sample Size('1Min', 0.0005)) OHLCI.add_command(label = "5 minute", command=lambda: change Sample Size('5Min', 0.003)) OHLCI.add_command(label = "15 minute", command=lambda: change Sample Size('15Min', 0.008)) OHLCI.add_command(label = "30 minute", command=lambda: change Sample Size('30Min', 0.016)) OHLCI.add_command(label = "1 Hour", command=lambda: change Sample Size('1H', 0.032)) OHLCI.add_command(label = "3 Hour", command=lambda: change Sample Size('3H', 0.096)) menubar.add_cascade(label="OHLC Interval", menu=OHLCI) top Indi = tk. Itm trading. Menu(menubar, tearoff=1) top Indi.add_command(label="None", command = lambda: add Top Indicator('none')) top Indi.add_command(label="RSI", command = lambda: add Top Indicator('rsi')) top Indi.add_command(label="MACD", command = lambda: add Top Indicator('macd')) menubar.add_cascade(label="Top Indicator", menu=top Indi) main I = tk.Menu(menubar, tearoff=1) main I.add_command(label="None", command = lambda: add Middle Indicator('none')) main I.add_command(label="SMA", command = lambda: add Middle Indicator('sma')) main I.add_command(label="EMA", command = lambda: add Middle Indicator('ema')) menubar.add_cascade(label="Main/middle Indicator", menu=main I) bottom I = tk.Menu(menubar, tearoff=1) bottom I.add_command(label="None", command = lambda: add Bottom Indicator('none')) bottom I.add_command(label="RSI", command = lambda: add Bottom Indicator('rsi')) bottom I.add_command(label="MACD", command = lambda: add Bottom Indicator('macd')) menubar.add_cascade(label="Bottom Indicator", menu=bottom I) trade Button = tk.

Menu(menubar, tearoff=1) trade Button.add_command(label = "Manual Trading", command=lambda: popupmsg("This is not live yet")) trade Button.add_command(label = "Automated Trading", command=lambda: popupmsg("This is not live yet")) trade Button.add_separator() trade Button.add_command(label = "Quick Buy", command=lambda: popupmsg("This is not live yet")) trade Button.add_command(label = "Quick Sell", command=lambda: popupmsg("This is not live yet")) trade Button.add_separator() trade Button.add_command(label = "Set-up Quick Buy/Sell", command=lambda: popupmsg("This is not live yet")) menubar.add_cascade(label="Trading", menu=trade Button) start Stop = tk.Menu(menubar, tearoff = 1) start Stop.add_command( label="Resume", command = lambda: load Chart('start')) start Stop.add_command( label="Pause", command = lambda: load Chart('stop')) menubar.add_cascade(label = "Resume/Pause client", menu = start Stop) helpmenu = tk.Menu(menubar, tearoff=0) helpmenu.add_command(label="Tutorial", command=tutorial) menubar.add_cascade(label="Help", menu=helpmenu) tk. Dđăng kí tài khoản trading view. Tk.config(self, menu=menubar) self.frames = for F in (Start Page, BTCe_Page): frame = F(container, self) self.frames[F] = frame frame.grid(row=0, column=0, sticky="nsew") self.show_frame(Start Page) tk.Tk.iconbitmap(self, default="clienticon.ico") def show_frame(self, cont): frame = self.frames[cont] frame.tkraise() class Start Page(tk. Label(self, text=("""ALPHA Bitcoin trading application use at your own risk.Frame): def __init__(self, parent, controller): tk. There is no promise of warranty."""), font=LARGE_FONT) label.pack(pady=10,padx=10) button1 = ttk. ", font=LARGE_FONT) label.pack(pady=10,padx=10) button1 = ttk. Button(self, text="Back to Home", command=lambda: controller.show_frame(Start Page)) button1.pack() canvas = Figure Canvas Tk Agg(f, self) canvas.show() canvas.get_tk_widget().pack(side=tk. BOTH, expand=True) toolbar = Navigation Toolbar2Tk Agg(canvas, self) toolbar.update() canvas._tkcanvas.pack(side=tk. BOTH, expand=True) app = Seaof BTCapp() app.geometry("1280x720") ani = animation.

Python btc-e trading bot

Button(self, text="Agree", command=lambda: controller.show_frame(BTCe_Page)) button1.pack() button2 = ttk. ", font=LARGE_FONT) label.pack(pady=10,padx=10) button1 = ttk. Button(self, text="Back to Home", command=lambda: controller.show_frame(Start Page)) button1.pack() class BTCe_Page(tk. Button(self, text="Disagree", command=quit) button2.pack() class Page One(tk. Frame): def __init__(self, parent, controller): tk. Frame): def __init__(self, parent, controller): tk. Waves platform is designed and built from the ground up for speed and scale.At the same time Waves is one of the most developer-friendly ecosystems.Waves blockchain exposes its functionality through a powerful REST API, that can be used with any programming language.

Python btc-e trading bot

This text guides you through the basics of Waves Node Rest API.In this example, we will use python wrapper for the API — Py Waves library, but there are other options for different programming languages as well, e.g. Pywaves is an object-oriented Python interface to the Waves blockchain which will help us to reduce the code complexity while maintaining its structure.Anything you learn using this library can be applied with pure HTTP API calls. Waves Platform is a little bit complex and consists of a lot of components: Waves Full Node performs almost like all other decentralized-cryptocurrencies: keeps a full-copy of the blockchain, verifies the transactions.The main differences are convenient REST API and DEX(Matcher).Note: DEX(matcher) is disabled in default configuration file.