def test_generate_plot_file(mocker, caplog):
fig = generage_empty_figure()
plot_mock = mocker.patch("freqtrade.plot.plotting.plot", MagicMock())
store_plot_file(fig, filename="freqtrade-plot-UNITTEST_BTC-5m.html")
assert plot_mock.call_count == 1
assert plot_mock.call_args[0][0] == fig
assert (plot_mock.call_args_list[0][1]['filename'] ==
"user_data/plots/freqtrade-plot-UNITTEST_BTC-5m.html")
def test_generate_plot_file(mocker, caplog):
fig = generate_empty_figure()
plot_mock = mocker.patch("freqtrade.plot.plotting.plot", MagicMock())
store_plot_file(fig,
filename="freqtrade-plot-UNITTEST_BTC-5m.html",
directory=Path("user_data/plots"))
expected_fn = str(
Path("user_data/plots/freqtrade-plot-UNITTEST_BTC-5m.html"))
assert plot_mock.call_count == 1
assert plot_mock.call_args[0][0] == fig
assert (plot_mock.call_args_list[0][1]['filename'] == expected_fn)
assert log_has(f"Stored plot as {expected_fn}", caplog)
def plot_profit(config: Dict[str, Any]) -> None:
"""
Plots the total profit for all pairs.
Note, the profit calculation isn't realistic.
But should be somewhat proportional, and therefor useful
in helping out to find a good algorithm.
"""
plot_elements = init_plotscript(config)
trades = plot_elements['trades']
# Filter trades to relevant pairs
trades = trades[trades['pair'].isin(plot_elements["pairs"])]
# Create an average close price of all the pairs that were involved.
# this could be useful to gauge the overall market trend
fig = generate_profit_graph(plot_elements["pairs"],
plot_elements["tickers"], trades)
store_plot_file(fig, filename='freqtrade-profit-plot.html', auto_open=True)
def analyse_and_plot_pairs(config: Dict[str, Any]):
"""
From arguments provided in cli:
-Initialise backtest env
-Get tickers data
-Generate Dafaframes populated with indicators and signals
-Load trades excecuted on same periods
-Generate Plotly plot objects
-Generate plot files
:return: None
"""
plot_elements = init_plotscript(config)
trades = plot_elements['trades']
strategy = plot_elements["strategy"]
pair_counter = 0
for pair, data in plot_elements["tickers"].items():
pair_counter += 1
logger.info("analyse pair %s", pair)
tickers = {}
tickers[pair] = data
dataframe = strategy.analyze_ticker(tickers[pair], {'pair': pair})
trades_pair = trades.loc[trades['pair'] == pair]
trades_pair = extract_trades_of_period(dataframe, trades_pair)
fig = generate_candlestick_graph(
pair=pair,
data=dataframe,
trades=trades_pair,
indicators1=config["indicators1"].split(","),
indicators2=config["indicators2"].split(","))
store_plot_file(fig,
filename=generate_plot_filename(
pair, config['ticker_interval']),
directory=config['user_data_dir'] / "plot")
logger.info('End of ploting process %s plots generated', pair_counter)
