def get_all_config():
    import os, sys

    cur_dir = os.path.dirname(os.path.abspath(__file__)) + os.sep + os.pardir + os.sep
    # sys.path.insert(0, os.path.join(cur_dir, ".."))
    sys.path.append(os.path.join(cur_dir))

    try:
        import game_config
        from models.config import Config as ConfigModel
    except:
        import settings
        settings.set_evn('dev_new', '1')    # settings.set_evn('dev', 'h1')
        import game_config
        from models.config import Config as ConfigModel

    # from apps.config import game_config
    common_config_name_list = game_config.config_name_list
    # game_config_name_list = game_config.all_config_name_list

    config_dict = {}
    for config_key, config_sub_func, is_show_in_admin, is_modifable, xls_table_name, need_download, _ in game_config.config_name_list:
        _c = ConfigModel.get(config_key)
        config_dict[config_key] = _c.value

    filename = cur_dir + '/test/local_config.py'
    f = open(filename, 'w')
    d = str(config_dict)

    f.write('config='+d)
    f.close()
    return filename
Exemple #2
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    def upload(self, file_name, xl=None):
        """ 上传一个文件
        :param file_name:
        :param xl:
        :return:
        """
        self.locked = True

        save_list = []
        warning_msg = []
        data = trans_config(file_name, xl)
        if not data:
            self.locked = False
            return save_list, []

        cv = ConfigVersion.get()
        for config_name, m, config in data:
            check_warning = config.pop('check_warning', [])
            if check_warning:
                warning_msg.extend(check_warning)
            if cv.versions.get(config_name) == m:
                continue
            c = Config.get(config_name)
            c.update_config(config, m, save=True)
            cv.update_version(config_name, m)
            save_list.append(config_name)

        if save_list:
            cv.save()
        self.locked = False
        return save_list, warning_msg
Exemple #3
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    def reload(self):
        """ 更新进程配置
        :return:
        """
        self.locked = True
        cm = ConfigMd5.get()
        if cm.ver_md5 == self.ver_md5:
            self.locked = False
            return False

        cv = ConfigVersion.get()
        if cv.versions and cv.versions == self.versions:
            self.locked = False
            return False

        cv_save = False
        for name, v in mapping_config.iteritems():

            # 配置 转换
            if name in []:
                pass

            cv_version = cv.versions.get(name)
            if cv_version and self.versions.get(name) == cv_version:
                continue

            c = Config.get(name)
            if cv_version and c.version != cv_version:
                if settings.CONFIG_SWITCH:
                    cv.versions[name] = c.version
                    cv_save = True

            if v[0]:  # 加载的策划配置的xlsx
                setattr(self, name, make_readonly(c.value))

                if cv_version:  # 设置服务器版本号
                    self.versions[name] = cv_version
            elif cv_version:
                setattr(self, name, make_readonly(c.value))

                # 设置服务器版本号
                self.versions[name] = cv_version

        if cv_save:
            cv.save()

        self.ver_md5 = cm.ver_md5
Exemple #4
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def select(req, **kwargs):
    """# config: docstring
    args:
        req:    ---    arg
    returns:
        0    ---
    """
    config_key = req.get_argument('config_key', '')
    c = Config.get(config_key)
    config_data = c.value
    last_update_time = c.last_update_time

    if not config_data and config_key:
        config_data = getattr(game_config, config_key)

    refresh_text = req.get_argument('config_refresh_text', '')
    flag = int(req.get_argument('config_refresh_flag', 0))

    res_flag = int(req.get_argument('test_res_version_flag', -1))
    white_ip = req.get_argument('white_ip', '-1')

    version_dirs = os.path.join(settings.BASE_ROOT, 'logs', 'client_resource')

    msg = kwargs.get('msg', '')

    return render(req, 'admin/config/index.html', **{
        'mapping_config': mapping_config,
        'config_key': config_key,
        'config_data': config_data,
        'config_refresh_flag': 1,
        'config_refresh_text': refresh_text,
        'last_update_time': last_update_time,
        'test_res_version_flag': 1,  # resource.hot_update_switch,
        'can_hot_update_ip': 1,  # resource.can_hot_update_ip,
        'limit_version': 1,  # resource.limit_version,
        'recent_version': 1,  # resource.recent_version,
        'msg': msg,
    })
Exemple #5
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class Mail:
    def __init__(self):
        """

        """
        self.config = Config()
        self.host = self.config.get("MailHost")
        self.security = self.config.get("MailSecurity")
        self.port = self.config.get("MailPort")
        self.user = self.config.get("MailUser")
        self.receiver_address = self.config.get("MailReceiver")
        self.sender_address = self.config.get("MailSender")
        self.password = self.config.get("MailPassword")

    def send_mail(self, subject, message):
        """

        :param subject:
        :param message:
        :return:
        """
        if self.config.get("SendMail") == "1":
            msg = MIMEMultipart('alternative')
            msg['Subject'] = subject
            msg['From'] = self.sender_address
            msg['To'] = self.receiver_address
            part1 = MIMEText(message, 'plain')
            part2 = MIMEText(message, 'html')

            msg.attach(part1)
            msg.attach(part2)
            server = smtplib.SMTP(self.host, self.port)
            server.login(self.user, self.password)
            server.sendmail(self.sender_address, [self.receiver_address],
                            msg.as_string())
            server.quit()
class BinanceAPI:
    """
    Verwaltet Methoden für die Zugriffe auf die Binance API
    """

    # noinspection PyTypeChecker
    def __init__(self):
        self.closes = []
        self.rsi_overbought = 70
        self.rsi_oversold = 15
        self.rsi_period = 21
        self.config = Config()
        self.client = Client(self.config.get("Binance_api_key"),
                             self.config.get("Binance_api_secret"))
        self.socket_manager = BinanceSocketManager(self.client)
        self.connection_key = self.socket_manager.start_kline_socket(
            self.config.get("Symbol"),
            self.process_message,
            interval=self.get_interval())

    def write_file(self, path, content):
        """

        :param path:
        :param content:
        :return:
        """
        with open(path, "w") as file:
            file.write(content)

    def read_file(self, path):
        """

        :param path:
        :return:
        """
        if os.path.isfile(path):
            with open(path, "r") as file:
                return str(file.read())
        return ""

    def set_last_bought(self, close):
        """
        writes the last bought value into a text file
        :param close:
        :return:
        """
        self.write_file(os.path.join("last_bought.txt"), str(float(close)))

    def get_last_order_id(self):
        """
        gibt die id der letzten order zurück

        :return:
        """
        return self.read_file(os.path.join("last_order_id.txt"))

    def set_last_order_id(self, order_id):
        """
        setzt die id der letzten order

        :param order_id: string
        :return: None
        """
        self.write_file(os.path.join("last_order_id.txt"), str(order_id))

    def get_last_bought(self):
        """
        gibt den preis der letzten kauforder zurück
        :return:
        """
        if (self.read_file(os.path.join("last_bought.txt"))) != "":
            return float(self.read_file(os.path.join("last_bought.txt")))
        return 0.0

    def set_in_position(self, position):
        """
        schreibt die aktuelle position

        :param position:
        :return:
        """
        self.write_file(os.path.join("position.txt"), str(int(position)))

    def get_in_position(self):
        """
        gibt zurück ob wir in position sind

        :return:
        """
        if self.read_file(os.path.join("position.txt")) != "":
            return bool(int(self.read_file(os.path.join("position.txt"))))
        return 0

    def start_socket(self):
        """
        startet den websocket

        :return: None
        """
        dataframe = self.get_candles()
        for close in dataframe['close']:
            self.closes.append(close)
        self.socket_manager.start()
        debug_logger.debug("socket started")
        mail = Mail()
        debug_logger.debug(
            "**************************************** TRADING BOT STARTED ****************************************"
        )
        mail.send_mail("Tradingbot started", "Tradingbot started")

    def restart_socket(self):
        """
        startet den socket neu

        :return: None
        """
        debug_logger.debug("restarting socket")
        self.socket_manager.stop_socket(self.connection_key)
        self.start_socket()
        debug_logger.debug("socket restarted")
        mail = Mail()
        mail.send_mail("Tradingbot socket restarted",
                       "Tradingbot socket restarted")

    def check_last_order_status(self):
        """
        überprüft den status der letzten order

        :return: None
        """

        order_id = self.get_last_order_id()
        order = self.client.get_order(symbol=self.config.get("Symbol"),
                                      orderId=order_id)
        """
        order wurde durchgeführt
        """
        if order["status"] == "FILLED":
            self.set_last_order_id("")
            if order["side"] == "SELL":
                self.set_in_position(False)
                self.set_last_bought(0.0)
                self.send_sell_filled_mail(order["price"], order["origQty"])
                debug_logger.debug(
                    "************************************ Verkauforder ausgeführt: {0} Menge: {1} ************************************"
                    .format(order["price"], order["origQty"]))
            if order["side"] == "BUY":
                self.set_last_bought(order["price"])
                self.set_in_position(True)
                self.send_buy_filled_mail(order["price"], order["origQty"])
                debug_logger.debug(
                    "************************************ Kauforder ausgeführt: {0} Menge: {1} ************************************"
                    .format(order["price"], order["origQty"]))
        """
        order wurde abgebrochen
        """
        if order["status"] == "CANCELLED":
            self.set_last_order_id("")
            if order["side"] == "SELL":
                self.send_sell_cancelled_mail(order["price"], order["origQty"])
                debug_logger.debug(
                    "************************************ Verkauforder abgebrochen: {0} Menge: {1} ************************************"
                    .format(order["price"], order["origQty"]))
            if order["side"] == "BUY":
                self.send_buy_cancelled_mail(order["price"], order["origQty"])
                debug_logger.debug(
                    "************************************ Kauforder abgebrochen: {0} Menge: {1} ************************************"
                    .format(order["price"], order["origQty"]))

    def process_message(self, msg):
        """
        Hier werden die Indikatoren berechnet.
        - MACD
        - Bollinger Bänder
        - Stochastik RSI

        :param msg: dict
        :return: None
        """
        if msg['e'] == 'error':
            """
            Beim Fehler den Fehler loggen und den socket neustarten
            """
            debug_logger.debug(json.dumps(msg))
            self.restart_socket()
        else:
            """
            Response vom Websocket auswerten
            """
            json_message = msg
            candle = json_message["k"]
            is_candle_closed = candle["x"]
            close = float(candle["c"])
            """
            nur in die berechnung gehen wenn die kerze geschlossen ist und der liste hinzugefügt werden kann
            """
            if is_candle_closed:
                should_sell = 0
                should_buy = 0
                debug_logger.debug("---------------------------")
                self.closes.append(close)

                # die liste auf 800 kerzen beschränken
                while len(self.closes) > 500:
                    self.closes.pop(0)

                # aus der liste einen numpy array zaubern
                np_closes = numpy.array(self.closes)

                fastk, fastd = talib.STOCHRSI(np_closes,
                                              timeperiod=14,
                                              fastk_period=5,
                                              fastd_period=3,
                                              fastd_matype=0)

                # macd berechnen
                ShortEMA = talib.EMA(np_closes, 9)
                LongEMA = talib.EMA(np_closes, 18)
                MACD = ShortEMA - LongEMA
                signal = talib.EMA(MACD, 5)

                # bollinger bänder berechnen
                upperband, middleband, lowerband = talib.BBANDS(np_closes,
                                                                timeperiod=18,
                                                                nbdevup=2,
                                                                nbdevdn=2,
                                                                matype=0)
                upperband_crossed = numpy.where((np_closes > upperband), 1, 0)
                lowerband_crossed = numpy.where((np_closes < lowerband), 1, 0)

                # preis durchschnitt und max/min berechnen in dem getraded werden soll
                max_price = numpy.amax(np_closes)
                lowest_price = numpy.amin(np_closes)
                average_price = numpy.average(np_closes)

                last_upperband_crossed = upperband_crossed[-1]
                last_lowerband_crossed = lowerband_crossed[-1]
                last_macd = MACD[-1]
                last_signal = signal[-1]
                last_fastk = fastk[-1]
                last_fastd = fastd[-1]

                if self.get_last_order_id() != "":
                    self.check_last_order_status()

                if last_macd > last_signal:
                    should_buy += 1

                if last_lowerband_crossed:
                    should_buy += 1

                if last_macd < last_signal:
                    should_sell += 1

                if last_upperband_crossed:
                    should_sell += 1

                if last_fastd > 90 and last_fastk > 90:
                    should_buy += 1

                if last_fastd <= 20 and last_fastk <= 20:
                    should_sell += 1

                debug_logger.debug(
                    "last_upperband_crossed {}".format(last_upperband_crossed))
                debug_logger.debug(
                    "last_lowerband_crossed {}".format(last_lowerband_crossed))
                debug_logger.debug("last_macd {}".format(last_macd))
                debug_logger.debug("last_signal {}".format(last_signal))
                debug_logger.debug("fastk {}".format(last_fastk))
                debug_logger.debug("fastd {}".format(last_fastd))
                debug_logger.debug("unterer preisbereich {}".format(
                    lowest_price < close < average_price))
                debug_logger.debug("oberer preisbereich {}".format(
                    max_price > close > average_price))
                debug_logger.debug("buy {}".format(should_buy))
                debug_logger.debug("sell {}".format(should_sell))

                if should_sell == 3 and max_price > close > average_price and self.get_last_bought(
                ) + 5 < close and self.get_last_order_id() == "":
                    if self.get_in_position():
                        self.sell(close)
                    else:
                        debug_logger.debug(
                            "it is overbought but we dont own anything so nothing to do"
                        )

                if should_buy == 3 and lowest_price < close < average_price and self.get_last_order_id(
                ) == "":
                    if self.get_in_position():
                        debug_logger.debug(
                            "it is oversold, but you already own it, nothing to do"
                        )
                    else:
                        self.buy(close)

    def get_order_type(self):
        order_type = self.config.get("OrderType")
        if order_type == "0":
            order_type = self.client.ORDER_TYPE_MARKET
        if order_type == "1":
            order_type = self.client.ORDER_TYPE_LIMIT
        return order_type

    def backtest(self):
        """

        :return: None
        """
        dataframe = self.get_historical_candles()
        dates = list()

        for close in dataframe["close"]:
            self.closes.append(close)

        while len(self.closes) > 500:
            self.closes.pop(0)

        for date in dataframe['datetime']:
            dates.append(date)

        while len(dates) > 500:
            dates.pop(0)

        np_closes = numpy.array(self.closes)
        ShortEMA = talib.EMA(np_closes, 9)
        LongEMA = talib.EMA(np_closes, 18)
        fastk, fastd = talib.STOCHRSI(np_closes,
                                      timeperiod=14,
                                      fastk_period=5,
                                      fastd_period=3,
                                      fastd_matype=0)
        MACD = ShortEMA - LongEMA
        signal = talib.EMA(MACD, 5)
        upperband, middleband, lowerband = talib.BBANDS(np_closes,
                                                        timeperiod=20,
                                                        nbdevup=2,
                                                        nbdevdn=2,
                                                        matype=0)
        upperband_crossed = numpy.where((np_closes > upperband), 1, 0)
        lowerband_crossed = numpy.where((np_closes < lowerband), 1, 0)
        max_price = numpy.amax(np_closes)
        lowest_price = numpy.amin(np_closes)
        average_price = numpy.average(np_closes)

        last_bought = self.get_last_bought()
        in_position = self.get_in_position()

        bought = list()
        sold = list()

        last_upperband_crossed = False
        last_lowerband_crossed = False

        for i in range(0, len(np_closes)):
            should_sell = 0
            should_buy = 0
            buy = False
            sell = False

            last_macd = MACD[i]
            last_signal = signal[i]
            last_fastk = fastk[i]
            last_fastd = fastd[i]

            if upperband_crossed[i] and not last_upperband_crossed:
                last_upperband_crossed = True
                last_lowerband_crossed = False

            if lowerband_crossed[i] and not last_lowerband_crossed:
                last_upperband_crossed = False
                last_lowerband_crossed = True

            close = np_closes[i]

            if last_macd > last_signal:
                should_buy += 1

            if last_lowerband_crossed:
                should_buy += 1

            if last_macd < last_signal:
                should_sell += 1

            if last_upperband_crossed:
                should_sell += 1

            print("-------------------------------------------------------")
            print("last_upperband_crossed {}".format(last_upperband_crossed))
            print("last_lowerband_crossed {}".format(last_lowerband_crossed))
            print("last_macd {}".format(last_macd))
            print("last_signal {}".format(last_signal))
            print("fastk {}".format(last_fastk))
            print("fastd {}".format(last_fastd))
            print("unterer preisbereich {}".format(close > lowest_price
                                                   and close < average_price))
            print("oberer preisbereich {}".format(close < max_price
                                                  and close > average_price))
            print("buy {}".format(should_buy))
            print("sell {}".format(should_sell))

            if should_sell == 3 and max_price > close > average_price and last_bought + 10 < close:
                if in_position:
                    print("****************** sell *********************")
                    sold.append(close)
                    in_position = False
                    last_bought = 0.0
                    sell = True

            if should_buy == 3 and lowest_price < close < average_price:
                if not in_position:
                    print("****************** buy *********************")
                    bought.append(close)
                    in_position = True
                    last_bought = close
                    buy = True

            if not sell:
                sold.append(numpy.nan)
            if not buy:
                bought.append(numpy.nan)

        plt.figure(1)
        plt.subplot(311)
        plt.plot(dates, upperband, color='yellow')
        plt.plot(dates, middleband, color='black')
        plt.plot(dates, lowerband, color='green')
        plt.plot(dates, sold, color='red', marker='o')
        plt.plot(dates, bought, color='green', marker='o')
        plt.plot(dates, np_closes, color='blue')
        plt.subplot(313)
        plt.plot(dates, fastk, label="macd", color='red')
        plt.plot(dates, fastd, label="signal", color='green')
        plt.show()

    def sell(self, close):
        """

        :param close:
        :return:
        """
        try:
            price, quantity = self.get_sell_value(close)
            order = self.client.create_order(
                symbol=self.config.get("Symbol"),
                side=self.client.SIDE_SELL,
                type=self.get_order_type(),
                timeInForce=self.client.TIME_IN_FORCE_GTC,
                quantity=quantity,
                price=price)
            self.set_last_order_id(order["orderId"])
            self.send_sell_mail(close)
            debug_logger.debug(
                " **************************** SELL: {} **************************** "
                .format(close))
            debug_logger.debug(json.dumps(order))
        except Exception as error:
            debug_logger.debug(error)
            mail = Mail()
            mail.send_mail("Fehler", error)
            return False

    def get_sell_value(self, close):
        """

        :param close:
        :return:
        """
        new_close = close + ((close / 100) / 10)
        quantity = float(self.config.get("Quantity"))
        new_quantity = quantity - ((quantity / 100) / 10)
        return round(new_close, 2), round(new_quantity, 8)

    def buy(self, close):
        """

        :param close:
        :return:
        """
        try:
            price, quantity = self.get_buy_value(close)
            order = self.client.create_order(
                symbol=self.config.get("Symbol"),
                side=self.client.SIDE_BUY,
                type=self.get_order_type(),
                timeInForce=self.client.TIME_IN_FORCE_GTC,
                quantity=quantity,
                price=price)
            self.set_last_order_id(order["orderId"])
            self.send_buy_mail(close)
            debug_logger.debug(
                " **************************** BUY: {} **************************** "
                .format(close))
            debug_logger.debug(json.dumps(order))
        except Exception as error:
            debug_logger.debug(error)
            mail = Mail()
            mail.send_mail("Fehler", error)
            return False

    def get_buy_value(self, close):
        """

        :param close:
        :return:
        """
        new_close = close - ((close / 100) / 10)
        quantity = float(self.config.get("Quantity"))
        new_quantity = quantity + ((quantity / 100) / 10)
        return round(new_close, 2), round(new_quantity, 8)

    def get_interval(self):
        """

        :return:
        """
        interval_seconds = int(self.config.get("Interval"))

        if interval_seconds == 60:
            return self.client.KLINE_INTERVAL_1MINUTE
        if interval_seconds == 180:
            return self.client.KLINE_INTERVAL_3MINUTE
        if interval_seconds == 300:
            return self.client.KLINE_INTERVAL_5MINUTE
        if interval_seconds == 900:
            return self.client.KLINE_INTERVAL_15MINUTE
        if interval_seconds == 1800:
            return self.client.KLINE_INTERVAL_30MINUTE
        if interval_seconds == 3600:
            return self.client.KLINE_INTERVAL_1HOUR
        if interval_seconds == 4 * 3600:
            return self.client.KLINE_INTERVAL_4HOUR
        if interval_seconds == 24 * 3600:
            return self.client.KLINE_INTERVAL_1DAY

    def get_price_for_symbol(self):
        """

        :return:
        """
        return self.client.get_avg_price(symbol=self.config.get("Symbol"))

    def send_buy_mail(self, close):
        """

        :param close:
        :return:
        """
        price, quantity = self.get_buy_value(close)
        subject = "Tradingbot: Kaufe"
        message = "Ich setze eine Kauforder:"
        message += "Preis: {0}</br>".format(price)
        message += "Menge: {0}</br>".format(quantity)
        mail = Mail()
        mail.send_mail(subject, message)

    def send_buy_filled_mail(self, price, quantity):
        """

        :param price:
        :param quantity:
        :return:
        """
        subject = "Tradingbot: Gekauft"
        message = "Kauforder erfolgreich:"
        message += "Preis: {0}</br>".format(price)
        message += "Menge: {0}</br>".format(quantity)
        mail = Mail()
        mail.send_mail(subject, message)

    def send_buy_cancelled_mail(self, price, quantity):
        """

        :param price:
        :param quantity:
        :return:
        """
        subject = "Tradingbot: Kauf abgebrochen"
        message = "Die letzte Kauforder wurde abgebrochen:"
        message += "Preis: {0}</br>".format(price)
        message += "Menge: {0}</br>".format(quantity)
        mail = Mail()
        mail.send_mail(subject, message)

    def send_sell_mail(self, close):
        """

        :param close:
        :return:
        """
        price, quantity = self.get_sell_value(close)
        subject = "Tradingbot: Verkaufe"
        message = "Ich setze eine Verkauforder:"
        message += "Preis: {0}</br>".format(price)
        message += "Menge: {0}</br>".format(quantity)
        mail = Mail()
        mail.send_mail(subject, message)

    def send_sell_filled_mail(self, price, quantity):
        """

        :param price:
        :param quantity:
        :return:
        """
        subject = "Tradingbot: Verkauft"
        message = "Die letzte Verkauforder war erfolgreich:"
        message += "Preis: {0}</br>".format(price)
        message += "Menge: {0}</br>".format(quantity)
        mail = Mail()
        mail.send_mail(subject, message)

    def send_sell_cancelled_mail(self, price, quantity):
        """

        :param price:
        :param quantity:
        :return:
        """
        subject = "Tradingbot: Verkauf abgebrochen"
        message = "Die letzte Verkauforder wurde abgebrochen:"
        message += "Preis: {0}</br>".format(price)
        message += "Menge: {0}</br>".format(quantity)
        mail = Mail()
        mail.send_mail(subject, message)

    def get_candles(self):
        record = self.client.get_klines(symbol=self.config.get("Symbol"),
                                        interval=self.get_interval())
        myList = []

        try:
            for item in record:
                n_item = []
                int_ts = int(item[0] / 1000)
                # nur neue timestamps anhängen

                n_item.append(int_ts)  # open time
                n_item.append(float(item[1]))  # open
                n_item.append(float(item[2]))  # high
                n_item.append(float(item[3]))  # low
                n_item.append(float(item[4]))  # close
                n_item.append(float(item[5]))  # volume
                n_item.append(int(item[6] / 1000))  # close_time
                n_item.append(float(item[7]))  # quote_assetv
                n_item.append(int(item[8]))  # trades
                n_item.append(float(item[9]))  # taker_b_asset_v
                n_item.append(float(item[10]))  # taker_b_quote_v
                n_item.append(datetime.fromtimestamp(n_item[0]))
                myList.append(n_item)
        except Exception as error:
            debug_logger.debug(error)

        new_ohlc = pd.DataFrame(myList,
                                columns=[
                                    'open_time', 'open', 'high', 'low',
                                    'close', 'volume', 'close_time',
                                    'quote_assetv', 'trades',
                                    'taker_b_asset_v', 'taker_b_quote_v',
                                    'datetime'
                                ])

        return new_ohlc

    def get_historical_candles(self):
        record = self.client.get_historical_klines(self.config.get("Symbol"),
                                                   self.get_interval(),
                                                   "1 week ago UTC")
        myList = []

        try:
            for item in record:
                n_item = []
                int_ts = int(item[0] / 1000)
                # nur neue timestamps anhängen

                n_item.append(int_ts)  # open time
                n_item.append(float(item[1]))  # open
                n_item.append(float(item[2]))  # high
                n_item.append(float(item[3]))  # low
                n_item.append(float(item[4]))  # close
                n_item.append(float(item[5]))  # volume
                n_item.append(int(item[6] / 1000))  # close_time
                n_item.append(float(item[7]))  # quote_assetv
                n_item.append(int(item[8]))  # trades
                n_item.append(float(item[9]))  # taker_b_asset_v
                n_item.append(float(item[10]))  # taker_b_quote_v
                n_item.append(datetime.fromtimestamp(n_item[0]))
                myList.append(n_item)
        except Exception as error:
            debug_logger.debug(error)

        new_ohlc = pd.DataFrame(myList,
                                columns=[
                                    'open_time', 'open', 'high', 'low',
                                    'close', 'volume', 'close_time',
                                    'quote_assetv', 'trades',
                                    'taker_b_asset_v', 'taker_b_quote_v',
                                    'datetime'
                                ])

        return new_ohlc