コード例 #1
0
ファイル: plot_dataframe.py プロジェクト: tucanae47/freqtrade
def plot_analyzed_dataframe(args: Namespace) -> None:
    """
    Calls analyze() and plots the returned dataframe
    :return: None
    """
    global _CONF

    # Load the configuration
    _CONF.update(setup_configuration(args))

    # Set the pair to audit
    pair = args.pair

    if pair is None:
        logger.critical('Parameter --pair mandatory;. E.g --pair ETH/BTC')
        exit()

    if '/' not in pair:
        logger.critical('--pair format must be XXX/YYY')
        exit()

    # Set timerange to use
    timerange = Arguments.parse_timerange(args.timerange)

    # Load the strategy
    try:
        analyze = Analyze(_CONF)
        exchange = Exchange(_CONF)
    except AttributeError:
        logger.critical(
            'Impossible to load the strategy. Please check the file "user_data/strategies/%s.py"',
            args.strategy)
        exit()

    # Set the ticker to use
    tick_interval = analyze.get_ticker_interval()

    # Load pair tickers
    tickers = {}
    if args.live:
        logger.info('Downloading pair.')
        tickers[pair] = exchange.get_ticker_history(pair, tick_interval)
    else:
        tickers = optimize.load_data(datadir=_CONF.get("datadir"),
                                     pairs=[pair],
                                     ticker_interval=tick_interval,
                                     refresh_pairs=_CONF.get(
                                         'refresh_pairs', False),
                                     timerange=timerange)

        # No ticker found, or impossible to download
        if tickers == {}:
            exit()

    # Get trades already made from the DB
    trades: List[Trade] = []
    if args.db_url:
        persistence.init(_CONF)
        trades = Trade.query.filter(Trade.pair.is_(pair)).all()

    dataframes = analyze.tickerdata_to_dataframe(tickers)
    dataframe = dataframes[pair]
    dataframe = analyze.populate_buy_trend(dataframe)
    dataframe = analyze.populate_sell_trend(dataframe)

    if len(dataframe.index) > 750:
        logger.warning('Ticker contained more than 750 candles, clipping.')

    fig = generate_graph(pair=pair,
                         trades=trades,
                         data=dataframe.tail(750),
                         args=args)

    plot(fig, filename=os.path.join('user_data', 'freqtrade-plot.html'))
コード例 #2
0
ファイル: plot_dataframe.py プロジェクト: yieldhawk/freqtrade
def plot_analyzed_dataframe(args: Namespace) -> None:
    """
    Calls analyze() and plots the returned dataframe
    :return: None
    """
    pair = args.pair.replace('-', '_')
    timerange = Arguments.parse_timerange(args.timerange)

    # Init strategy
    try:
        analyze = Analyze({'strategy': args.strategy})
    except AttributeError:
        logger.critical(
            'Impossible to load the strategy. Please check the file "user_data/strategies/%s.py"',
            args.strategy)
        exit()

    tick_interval = analyze.strategy.ticker_interval

    tickers = {}
    if args.live:
        logger.info('Downloading pair.')
        # Init Bittrex to use public API
        exchange._API = exchange.Bittrex({'key': '', 'secret': ''})
        tickers[pair] = exchange.get_ticker_history(pair, tick_interval)
    else:
        tickers = optimize.load_data(datadir=args.datadir,
                                     pairs=[pair],
                                     ticker_interval=tick_interval,
                                     refresh_pairs=False,
                                     timerange=timerange)
    dataframes = analyze.tickerdata_to_dataframe(tickers)
    dataframe = dataframes[pair]
    dataframe = analyze.populate_buy_trend(dataframe)
    dataframe = analyze.populate_sell_trend(dataframe)

    if len(dataframe.index) > 750:
        logger.warning('Ticker contained more than 750 candles, clipping.')
    data = dataframe.tail(750)

    candles = go.Candlestick(x=data.date,
                             open=data.open,
                             high=data.high,
                             low=data.low,
                             close=data.close,
                             name='Price')

    df_buy = data[data['buy'] == 1]
    buys = go.Scattergl(x=df_buy.date,
                        y=df_buy.close,
                        mode='markers',
                        name='buy',
                        marker=dict(
                            symbol='triangle-up-dot',
                            size=9,
                            line=dict(width=1),
                            color='green',
                        ))
    df_sell = data[data['sell'] == 1]
    sells = go.Scattergl(x=df_sell.date,
                         y=df_sell.close,
                         mode='markers',
                         name='sell',
                         marker=dict(
                             symbol='triangle-down-dot',
                             size=9,
                             line=dict(width=1),
                             color='red',
                         ))

    bb_lower = go.Scatter(
        x=data.date,
        y=data.bb_lowerband,
        name='BB lower',
        line={'color': "transparent"},
    )
    bb_upper = go.Scatter(
        x=data.date,
        y=data.bb_upperband,
        name='BB upper',
        fill="tonexty",
        fillcolor="rgba(0,176,246,0.2)",
        line={'color': "transparent"},
    )
    macd = go.Scattergl(x=data['date'], y=data['macd'], name='MACD')
    macdsignal = go.Scattergl(x=data['date'],
                              y=data['macdsignal'],
                              name='MACD signal')
    volume = go.Bar(x=data['date'], y=data['volume'], name='Volume')

    fig = tools.make_subplots(
        rows=3,
        cols=1,
        shared_xaxes=True,
        row_width=[1, 1, 4],
        vertical_spacing=0.0001,
    )

    fig.append_trace(candles, 1, 1)
    fig.append_trace(bb_lower, 1, 1)
    fig.append_trace(bb_upper, 1, 1)
    fig.append_trace(buys, 1, 1)
    fig.append_trace(sells, 1, 1)
    fig.append_trace(volume, 2, 1)
    fig.append_trace(macd, 3, 1)
    fig.append_trace(macdsignal, 3, 1)

    fig['layout'].update(title=args.pair)
    fig['layout']['yaxis1'].update(title='Price')
    fig['layout']['yaxis2'].update(title='Volume')
    fig['layout']['yaxis3'].update(title='MACD')

    plot(fig, filename='freqtrade-plot.html')