import logging from pathlib import Path from typing import Any, Dict, List, Optional import pandas as pd from freqtrade.arguments import Arguments from frqtrade.exchange import Exchange from freqtrade.data import history from freqtrade.data.btanalysis import load_trades from freqtrade.resolvers import ExchangeResolver, StrategyResolver logger = logging.getLogger(__name__) try: from plotly import tools from plotly.offline import plot import plotly.graph_objs as go except ImportError: logger.exception("Module plotly not found \n Please install using `pip install plotly`") exit(1) class FTPlots(): def __init__(self, config: Dict[str, Any]): self._config = config self.exchange: Optional[Exchange] = None if self._config.get("live", False) or self._config.get("refresh_pairs", False): self.exchange = ExchangeResolver(self._config.get('exchange', {}).get('name'), self._config).exchange self.strategy = StrategyResolver(self._config).strategy if "pairs" in self._config: self.pairs = self._config["pairs"].split(',') else: self.pairs = self._config["exchange"]["pair_whitelist"] # Set timerange to use self.timerange = Arguments.parse_timerange(self._config["timerange"]) self.tickers = history.load_data( datadir=Path(str(self._config.get("datadir"))), pairs=self.pairs, ticker_interval=self._config['ticker_interval'], refresh_pairs=self._config.get('refresh_pairs', False), timerange=self.timerange, exchange=self.exchange, live=self._config.get("live", False), ) self.trades = load_trades(self._config) def generate_row(fig, row, indicators: List[str], data: pd.DataFrame) -> tools.make_subplots: """ Generator all the indicator selected by the user for a specific row :param fig: Plot figure to append to :param row: row number for this plot :param indicators: List of indicators present in the dataframe :param data: candlestick DataFrame """ for indicator in indicators: if indicator in data: # TODO: Figure out why scattergl causes problems scattergl = go.Scatter( x=data['date'], y=data[indicator].values, mode='lines', name=indicator ) fig.append_trace(scattergl, row, 1) else: logger.info( 'Indicator "%s" ignored. Reason: This indicator is not found ' 'in your strategy.', indicator ) return fig def plot_trades(fig, trades: pd.DataFrame): """ Plot trades to "fig" """ # Trades can be empty if trades is not None and len(trades) > 0: trade_buys = go.Scatter( x=trades["open_time"], y=trades["open_rate"], mode='markers', name='trade_buy', marker=dict( symbol='square-open', size=11, line=dict(width=2), color='green' ) ) # Create description for sell summarizing the trade desc = trades.apply(lambda row: f"{round(row['profitperc'], 3)}%, {row['sell_reason']}, " f"{row['duration']}min", axis=1) trade_sells = go.Scatter( x=trades["close_time"], y=trades["close_rate"], text=desc, mode='markers', name='trade_sell', marker=dict( symbol='square-open', size=11, line=dict(width=2), color='red' ) ) fig.append_trace(trade_buys, 1, 1) fig.append_trace(trade_sells, 1, 1) else: logger.warning("No trades found.") return fig def generate_candlestick_graph( pair: str, data: pd.DataFrame, trades: pd.DataFrame = None, indicators1: List[str] = [], indicators2: List[str] = [], ) -> go.Figure: """ Generate the graph from the data generated by Backtesting or from DB Volume will always be ploted in row2, so Row 1 and 3 are to our disposal for custom indicators :param pair: Pair to Display on the graph :param data: OHLCV DataFrame containing indicators and buy/sell signals :param trades: All trades created :param indicators1: List containing Main plot indicators :param indicators2: List containing Sub plot indicators :return: None """ # Define the graph fig = tools.make_subplots( rows=3, cols=1, shared_xaxes=True, row_width=[1, 1, 4], vertical_spacing=0.0001, ) fig['layout'].update(title=pair) fig['layout']['yaxis1'].update(title='Price') fig['layout']['yaxis2'].update(title='Volume') fig['layout']['yaxis3'].update(title='Other') fig['layout']['xaxis']['rangeslider'].update(visible=False) # Common information candles = go.Candlestick( x=data.date, open=data.open, high=data.high, low=data.low, close=data.close, name='Price' ) fig.append_trace(candles, 1, 1) if 'buy' in data.columns: df_buy = data[data['buy'] == 1] if len(df_buy) > 0: buys = go.Scatter( 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', ) ) fig.append_trace(buys, 1, 1) else: logger.warning("No buy-signals found.") if 'sell' in data.columns: df_sell = data[data['sell'] == 1] if len(df_sell) > 0: sells = go.Scatter( 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', ) ) fig.append_trace(sells, 1, 1) else: logger.warning("No sell-signals found.") if 'bb_lowerband' in data and 'bb_upperband' in data: bb_lower = go.Scattergl( x=data.date, y=data.bb_lowerband, name='BB lower', line={'color': 'rgba(255,255,255,0)'}, ) bb_upper = go.Scattergl( x=data.date, y=data.bb_upperband, name='BB upper', fill="tonexty", fillcolor="rgba(0,176,246,0.2)", line={'color': 'rgba(255,255,255,0)'}, ) fig.append_trace(bb_lower, 1, 1) fig.append_trace(bb_upper, 1, 1) # Add indicators to main plot fig = generate_row(fig=fig, row=1, indicators=indicators1, data=data) fig = plot_trades(fig, trades) # Volume goes to row 2 volume = go.Bar( x=data['date'], y=data['volume'], name='Volume' ) fig.append_trace(volume, 2, 1) # Add indicators to seperate row fig = generate_row(fig=fig, row=3, indicators=indicators2, data=data) return fig def generate_plot_filename(pair, ticker_interval) -> str: pair_name = pair.replace("/", "_") file_name = 'freqtrade-plot-' + pair_name + '-' + ticker_interval + '.html' logger.info('Generate plot file for %s', pair) return file_name def store_plot_file(fig, filename: str, auto_open: bool = False) -> None: """ Generate a plot html file from pre populated fig plotly object :param fig: Plotly Figure to plot :param pair: Pair to plot (used as filename and Plot title) :param ticker_interval: Used as part of the filename :return: None """ Path("user_data/plots").mkdir(parents=True, exist_ok=True) plot(fig, filename=str(Path('user_data/plots').joinpath(filename)), auto_open=auto_open)