Test generate_profit_plot

freqtrade/plot/plotting.py

@@ -276,6 +276,7 @@ def generate_profit_graph(pairs: str, tickers: Dict[str, pd.DataFrame], trades:
     )
 
     fig = tools.make_subplots(rows=3, cols=1, shared_xaxes=True, row_width=[1, 1, 1])
+    fig['layout'].update(title="Profit plot")
 
     fig.append_trace(avgclose, 1, 1)
     fig = add_profit(fig, 2, df_comb, 'cum_profit', 'Profit')
@@ -286,7 +287,7 @@ def generate_profit_graph(pairs: str, tickers: Dict[str, pd.DataFrame], trades:
 
         fig = add_profit(fig, 3, df_comb, profit_col, f"Profit {pair}")
 
-    store_plot_file(fig, filename='freqtrade-profit-plot.html', auto_open=True)
+    return fig
 
 
 def generate_plot_filename(pair, ticker_interval) -> str:

freqtrade/tests/test_plotting.py

@@ -10,7 +10,8 @@ from freqtrade.data import history
 from freqtrade.data.btanalysis import create_cum_profit, load_backtest_data
 from freqtrade.plot.plotting import (add_indicators, add_profit,
                                      generate_candlestick_graph,
-                                     generate_plot_filename, plot_trades,
+                                     generate_plot_filename,
+                                     generate_profit_graph, plot_trades,
                                      store_plot_file)
 from freqtrade.strategy.default_strategy import DefaultStrategy
 from freqtrade.tests.conftest import log_has, log_has_re
@@ -214,3 +215,34 @@ def test_add_profit():
     profits = find_trace_in_fig_data(figure.data, "Profits")
     assert isinstance(profits, go.Scattergl)
     assert profits.yaxis == "y2"
+
+
+def test_generate_profit_graph():
+    filename = history.make_testdata_path(None) / "backtest-result_test.json"
+    trades = load_backtest_data(filename)
+    timerange = Arguments.parse_timerange("20180110-20180112")
+    pairs = ["POWR/BTC", "XLM/BTC"]
+
+    tickers = history.load_data(datadir=None,
+                                pairs=pairs,
+                                ticker_interval='5m',
+                                timerange=timerange
+                                )
+    trades = trades[trades['pair'].isin(pairs)]
+
+    fig = generate_profit_graph(pairs, tickers, trades)
+    assert isinstance(fig, go.Figure)
+
+    assert fig.layout.title.text == "Profit plot"
+    figure = fig.layout.figure
+    assert len(figure.data) == 4
+
+    avgclose = find_trace_in_fig_data(figure.data, "Avg close price")
+    assert isinstance(avgclose, go.Scattergl)
+
+    profit = find_trace_in_fig_data(figure.data, "Profit")
+    assert isinstance(profit, go.Scattergl)
+
+    for pair in pairs:
+        profit_pair = find_trace_in_fig_data(figure.data, f"Profit {pair}")
+        assert isinstance(profit_pair, go.Scattergl)

scripts/plot_profit.py

@@ -10,7 +10,7 @@ from typing import Any, Dict, List
 
 from freqtrade.arguments import ARGS_PLOT_PROFIT, Arguments
 from freqtrade.optimize import setup_configuration
-from freqtrade.plot.plotting import FTPlots, generate_profit_graph
+from freqtrade.plot.plotting import FTPlots, generate_profit_graph, store_plot_file
 from freqtrade.state import RunMode
 
 logger = logging.getLogger(__name__)
@@ -29,7 +29,8 @@ def plot_profit(config: Dict[str, Any]) -> None:
 
     # Create an average close price of all the pairs that were involved.
     # this could be useful to gauge the overall market trend
-    generate_profit_graph(plot.pairs, plot.tickers, trades)
+    fig = generate_profit_graph(plot.pairs, plot.tickers, trades)
+    store_plot_file(fig, filename='freqtrade-profit-plot.html', auto_open=True)
 
 
 def plot_parse_args(args: List[str]) -> Dict[str, Any]: