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
"""
exchange = ExchangeResolver(config.get('exchange', {}).get('name'), config).exchange
strategy = StrategyResolver(config).strategy
if "pairs" in config:
pairs = config["pairs"].split(',')
else:
pairs = config["exchange"]["pair_whitelist"]
# Set timerange to use
timerange = Arguments.parse_timerange(config["timerange"])
ticker_interval = strategy.ticker_interval
tickers = history.load_data(
datadir=Path(str(config.get("datadir"))),
pairs=pairs,
ticker_interval=config['ticker_interval'],
refresh_pairs=config.get('refresh_pairs', False),
timerange=timerange,
exchange=exchange,
live=config.get("live", False),
)
pair_counter = 0
for pair, data in tickers.items():
pair_counter += 1
logger.info("analyse pair %s", pair)
tickers = {}
tickers[pair] = data
dataframe = generate_dataframe(strategy, tickers, pair)
if config["trade_source"] == "DB":
trades = load_trades_from_db(config["db_url"])
elif config["trade_source"] == "file":
trades = load_backtest_data(Path(config["exportfilename"]))
trades = trades.loc[trades['pair'] == pair]
trades = extract_trades_of_period(dataframe, trades)
fig = generate_graph(
pair=pair,
data=dataframe,
trades=trades,
indicators1=config["indicators1"].split(","),
indicators2=config["indicators2"].split(",")
)
generate_plot_file(fig, pair, ticker_interval)
logger.info('End of ploting process %s plots generated', pair_counter)
def test_load_trades_db(default_conf, fee, mocker):
create_mock_trades(fee)
# remove init so it does not init again
init_mock = mocker.patch('freqtrade.persistence.init', MagicMock())
trades = load_trades_from_db(db_url=default_conf['db_url'])
assert init_mock.call_count == 1
assert len(trades) == 3
assert isinstance(trades, DataFrame)
assert "pair" in trades.columns
assert "open_time" in trades.columns
def test_load_trades_from_db(default_conf, fee, mocker):
create_mock_trades(fee)
# remove init so it does not init again
init_mock = mocker.patch('freqtrade.data.btanalysis.init_db', MagicMock())
trades = load_trades_from_db(db_url=default_conf['db_url'])
assert init_mock.call_count == 1
assert len(trades) == MOCK_TRADE_COUNT
assert isinstance(trades, DataFrame)
assert "pair" in trades.columns
assert "open_date" in trades.columns
assert "profit_ratio" in trades.columns
for col in BT_DATA_COLUMNS:
if col not in ['index', 'open_at_end']:
assert col in trades.columns
trades = load_trades_from_db(db_url=default_conf['db_url'],
strategy='DefaultStrategy')
assert len(trades) == 4
trades = load_trades_from_db(db_url=default_conf['db_url'],
strategy='NoneStrategy')
assert len(trades) == 0
def test_load_trades_db(default_conf, fee, mocker):
create_mock_trades(fee)
# remove init so it does not init again
init_mock = mocker.patch('freqtrade.persistence.init', MagicMock())
trades = load_trades_from_db(db_url=default_conf['db_url'])
assert init_mock.call_count == 1
assert len(trades) == 3
assert isinstance(trades, DataFrame)
assert "pair" in trades.columns
assert "open_time" in trades.columns
assert "profitperc" in trades.columns
for col in BT_DATA_COLUMNS:
if col not in ['index', 'open_at_end']:
assert col in trades.columns
