Example #1
0
def show_create_trader_page():
    # trader list 가져오기
    trader_list = dao.query(Trader.name).filter(Trader.use_yn == 'Y').all()
    coin_list = dao.query(CoinoneTick.currency).group_by(
        CoinoneTick.currency).all()
    return render_template('trader_create.html',
                           trader_list=trader_list,
                           coin_list=coin_list)
Example #2
0
def stop_trader():
    data = request.json
    Log.info(data)
    end_dt = strftime('%Y/%m/%d %H:%M:%S', localtime())

    g = RUNNING_TRADER.pop(data['run_no'])
    g.kill()

    # update
    dao.query(SimulTraderRunHist.end_dt)\
        .filter(SimulTraderRunHist.run_no == data['run_no'])\
        .update({SimulTraderRunHist.end_dt: end_dt})
    dao.commit()

    return json.dumps({'status': 'OK', 'end_dt': end_dt})
Example #3
0
def rsi_trader_alarm(run_no):

    run_info = dao.query(SimulTraderRunHist).filter(
        SimulTraderRunHist.run_no == run_no).first()
    trader = rsi_trader_v01(dao, run_info)
    return_buy, volume, rsi = trader.buy()
    return_sell, revenue_rate = trader.sell()

    log_info = '[TRADER %s Called] RSI: %s 수익률: %s' % (run_info.run_no, rsi,
                                                       revenue_rate)
    Log.info(log_info)

    if return_buy is not None:
        Log.info(
            '[buy order alarm] run_no: %s buy_price: %s volume: %s rsi: %s' %
            (run_info.run_no, return_buy, volume, rsi))

    if return_sell is not None:
        Log.info(
            '[sell order alarm] run_no: %s sell_price: %s revenue_rate: %s' %
            (run_info.run_no, return_sell, revenue_rate))

    dst_namespace = '/trader/log/' + str(run_no)
    socketio.emit('message', log_info, broadcast=True, namespace=dst_namespace)

    dao.remove()
Example #4
0
def create_trader():
    try:
        data = request.form.to_dict()
        Log.info(data)
        trader_name = data.pop('trader')
        interval = is_positive_number(int(data.pop('interval')))
        balance = is_positive_number(int(data.pop('balance')))
        currency = data.pop('currency')
        trader_parm = data
    except Exception as e:
        Log.info(e)
        return redirect(url_for('.show_create_trader_page'))

    trader_no = dao.query(
        Trader.trader_no).filter(Trader.name == trader_name).all()[0][0]

    # run_no: auto_increment
    dao.add(
        SimulTraderRunHist(trader_no=trader_no,
                           currency=currency,
                           time_interval=interval,
                           init_balance=balance,
                           trader_parm=trader_parm))
    dao.commit()

    return redirect(url_for('.show_traders'))
Example #5
0
def get_seq():
    run_hist = request.json
    Log.info(run_hist)

    show_time_unit = '%Y,%m,%d'

    yesterday = datetime.now()

    tick_data = dao.query(func.date_format(CoinoneTick.create_dt, '%Y,%m,%d,%H'), func.avg(CoinoneTick.last)) \
        .filter_by(currency=run_hist['currency']) \
        .filter(func.date_format(CoinoneTick.create_dt, '%Y,%m,%d,%H') >= yesterday.strftime(show_time_unit))\
        .group_by(func.date_format(CoinoneTick.create_dt, '%Y,%m,%d,%H')) \
        .order_by(func.date_format(CoinoneTick.create_dt, '%Y,%m,%d,%H').asc()) \
        .limit(24).all()

    Log.debug(tick_data)
    tick_list = [(time.split(','), float(tick)) for (time, tick) in tick_data]
    tick_last = [float(tick) for time, tick in tick_data]

    y_max = round(np.max(tick_last)) + round(np.max(tick_last) * 0.1)
    y_min = round(np.min(tick_last)) - round(np.min(tick_last) * 0.1)

    return json.dumps({
        'status': 'OK',
        'currency': run_hist['currency'],
        'ticks': tick_list,
        'max': y_max,
        'min': y_min
    })
Example #6
0
def run_trader():
    data = request.json
    Log.info(data)
    # start trader
    start_dt = strftime('%Y/%m/%d %H:%M:%S', localtime())
    Log.debug(start_dt)

    interval = dao.query(SimulTraderRunHist.time_interval).filter(
        SimulTraderRunHist.run_no == data['run_no']).first()[0]

    g = eventlet.spawn(enrollment_trader, rsi_trader_alarm, data['run_no'],
                       interval)
    RUNNING_TRADER[data['run_no']] = g

    # update
    dao.query(SimulTraderRunHist.start_dt) \
        .filter(SimulTraderRunHist.run_no == data['run_no']) \
        .update({SimulTraderRunHist.start_dt: start_dt})
    dao.commit()

    return json.dumps({'status': 'OK', 'start_dt': start_dt})
Example #7
0
def show_traders():
    trader_list = dao.query(SimulTraderRunHist, Trader)\
        .filter(SimulTraderRunHist.end_dt.is_(None))\
        .filter(Trader.trader_no == SimulTraderRunHist.trader_no)\
        .all()

    is_alive = dict()
    for run_no in RUNNING_TRADER.keys():
        is_alive[run_no] = True

    return render_template('traders.html',
                           trader_list=trader_list,
                           is_alive=is_alive)
Example #8
0
def update_last_tick(currency='btc'):
    queries = dao.query(CoinoneTick)
    tick = queries.filter_by(currency=currency).order_by(
        CoinoneTick.timestamp.desc()).first()

    tick_dict = dict()
    tick_dict['create_dt'] = tick.create_dt.strftime("%Y-%m-%d %H:%M:%S")
    tick_dict['currency'] = tick.currency
    tick_dict['last'] = tick.last
    tick_dict['rise_fall_rate'] = round(
        ((tick.last - tick.yesterday_last) / tick.yesterday_last) * 100, 2)

    Log.info(tick_dict)

    socketio.emit('message', tick_dict, broadcast=True, namespace='/tick')
    eventlet.sleep(0)
    dao.remove()
Example #9
0
def show_trader_order_hist():
    data = request.json
    Log.info(data)

    orders = dao.query(SimulTraderOrder)\
        .filter(SimulTraderOrder.run_no == data['run_no'])\
        .order_by(SimulTraderOrder.create_dt.desc())\
        .all()

    orders = [order.__dict__ for order in orders]

    order_list = []
    for order in orders:
        order.pop('_sa_instance_state')
        order.pop('update_dt')
        order['create_dt'] = order['create_dt'].strftime('%Y/%m/%d %H:%M:%S')
        order_list.append(order)

    return json.dumps({'status': 'OK', 'order_list': order_list})
Example #10
0
#
#     def __init__(self, trader_no, init_balance, invoke_interval):
#         self.trader_no = trader_no
#         self.cur_balance = init_balance
#         self.init_balance = init_balance
#         self.invoke_interval = invoke_interval
#
#         self.num_of_order = 0
#         self.revenue_rate = 0
#
#         self.create_dt = strftime('%Y/%m/%d %H:%M:%S', localtime())
#         self.update_dt = self.create_dt

if __name__ == '__main__':
    from coincast.database import DBManager

    db_url = 'mysql://*****:*****@49.142.50.199/CC_REAL?charset=utf8'
    DBManager.init(db_url)
    DBManager.init_db()

    from coincast.database import dao

    queries = dao.query(SimulTraderRunHist)
    entries = [
        dict(trader_no=q.trader_no, run_no=q.run_no, interval=q.time_interval)
        for q in queries
    ]
    dao.commit()

    print(entries[:10])
Example #11
0
def get_parm_list():
    trader = request.json
    trader_parm = dao.query(
        Trader.trader_parm).filter(Trader.name == trader['trader']).first()

    return json.dumps({'status': 'OK', 'trader_parm': trader_parm})
Example #12
0
        self.run_no = run_no
        self.type = _type
        self.price = price
        self.volume = volume
        self.success_yn = 'Y'

        self.create_dt = strftime('%Y/%m/%d %H:%M:%S', localtime())
        self.update_dt = self.create_dt


# class RealTraderOrder(Base):
#     __tablename__ = 'real_trader_order_hist'
#     pass

if __name__ == '__main__':
    from coincast.database import DBManager

    db_url = 'mysql://*****:*****@49.142.50.199/CC_REAL?charset=utf8'
    DBManager.init(db_url)
    DBManager.init_db()

    from coincast.database import dao

    queries = dao.query(SimulTraderOrder)
    entries = [
        dict(order_no=q.order_no, run_no=q.run_no, type=q.type)
        for q in queries
    ]
    dao.commit()

    print(entries[:10])