def test_init_plotscript(default_conf, mocker, testdatadir):
default_conf['timerange'] = "20180110-20180112"
default_conf['trade_source'] = "file"
default_conf['timeframe'] = "5m"
default_conf["datadir"] = testdatadir
default_conf['exportfilename'] = testdatadir / "backtest-result_test.json"
ret = init_plotscript(default_conf)
assert "ohlcv" in ret
assert "trades" in ret
assert "pairs" in ret
default_conf['pairs'] = ["TRX/BTC", "ADA/BTC"]
ret = init_plotscript(default_conf)
assert "ohlcv" in ret
assert "TRX/BTC" in ret["ohlcv"]
assert "ADA/BTC" in ret["ohlcv"]
def analyse_and_plot_pairs(config: Dict[str, Any]):
plot_elements = init_plotscript(config)
trades = plot_elements['trades']
strategy = StrategyResolver(config).strategy
pair_counter = 0
plots = []
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)
plots.append(
analyze_results(pair=pair,
data=dataframe,
trades=trades_pair,
indicators1=parse_indicators(
config['indicators1'] if 'indicators1' in
config.keys() else None),
indicators2=parse_indicators(
config['indicators2'] if 'indicators2' in
config.keys() else None)))
logger.info('End of ploting process %s plots generated', pair_counter)
return plots
def test_init_plotscript(default_conf, mocker, testdatadir):
default_conf['timerange'] = "20180110-20180112"
default_conf['trade_source'] = "file"
default_conf['ticker_interval'] = "5m"
default_conf["datadir"] = testdatadir
default_conf['exportfilename'] = str(testdatadir /
"backtest-result_test.json")
ret = init_plotscript(default_conf)
assert "tickers" in ret
assert "trades" in ret
assert "pairs" in ret
default_conf['pairs'] = ["POWR/BTC", "XLM/BTC"]
ret = init_plotscript(default_conf)
assert "tickers" in ret
assert "POWR/BTC" in ret["tickers"]
assert "XLM/BTC" in ret["tickers"]
def test_init_plotscript(default_conf, mocker):
default_conf['timerange'] = "20180110-20180112"
default_conf['trade_source'] = "file"
default_conf['ticker_interval'] = "5m"
default_conf["datadir"] = history.make_testdata_path(None)
default_conf['exportfilename'] = str(
history.make_testdata_path(None) / "backtest-result_test.json")
ret = init_plotscript(default_conf)
assert "tickers" in ret
assert "trades" in ret
assert "pairs" in ret
assert "strategy" in ret
default_conf['pairs'] = "POWR/BTC,XLM/BTC"
ret = init_plotscript(default_conf)
assert "tickers" in ret
assert "POWR/BTC" in ret["tickers"]
assert "XLM/BTC" in ret["tickers"]
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)
