Fix sequence of loading trades

This commit is contained in:
Matthias 2019-06-22 15:45:20 +02:00
parent d8286d7a98
commit de38aea164
4 changed files with 30 additions and 18 deletions

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@ -73,18 +73,13 @@ def evaluate_result_multi(results: pd.DataFrame, freq: str, max_open_trades: int
return df_final[df_final['pair'] > max_open_trades] return df_final[df_final['pair'] > max_open_trades]
def load_trades(db_url: str = None, exportfilename: str = None) -> pd.DataFrame: def load_trades_from_db(db_url: str) -> pd.DataFrame:
""" """
Load trades, either from a DB (using dburl) or via a backtest export file. Load trades from a DB (using dburl)
:param db_url: Sqlite url (default format sqlite:///tradesv3.dry-run.sqlite) :param db_url: Sqlite url (default format sqlite:///tradesv3.dry-run.sqlite)
:param exportfilename: Path to a file exported from backtesting
:returns: Dataframe containing Trades :returns: Dataframe containing Trades
""" """
timeZone = pytz.UTC
trades: pd.DataFrame = pd.DataFrame([], columns=BT_DATA_COLUMNS) trades: pd.DataFrame = pd.DataFrame([], columns=BT_DATA_COLUMNS)
if db_url:
persistence.init(db_url, clean_open_orders=False) persistence.init(db_url, clean_open_orders=False)
columns = ["pair", "profit", "open_time", "close_time", columns = ["pair", "profit", "open_time", "close_time",
"open_rate", "close_rate", "duration"] "open_rate", "close_rate", "duration"]
@ -93,17 +88,30 @@ def load_trades(db_url: str = None, exportfilename: str = None) -> pd.DataFrame:
logger.info("date: {}".format(x.open_date)) logger.info("date: {}".format(x.open_date))
trades = pd.DataFrame([(t.pair, t.calc_profit(), trades = pd.DataFrame([(t.pair, t.calc_profit(),
t.open_date.replace(tzinfo=timeZone), t.open_date.replace(tzinfo=pytz.UTC),
t.close_date.replace(tzinfo=timeZone) if t.close_date else None, t.close_date.replace(tzinfo=pytz.UTC) if t.close_date else None,
t.open_rate, t.close_rate, t.open_rate, t.close_rate,
t.close_date.timestamp() - t.open_date.timestamp() t.close_date.timestamp() - t.open_date.timestamp()
if t.close_date else None) if t.close_date else None)
for t in Trade.query.all()], for t in Trade.query.all()],
columns=columns) columns=columns)
elif exportfilename: return trades
def load_trades(exportfilename: str = None, db_url: str = None) -> pd.DataFrame:
"""
Load trades, either from a DB (using dburl) or via a backtest export file.
:param exportfilename: Path to a file exported from backtesting
:param db_url: Sqlite url (default format sqlite:///tradesv3.dry-run.sqlite)
:returns: Dataframe containing Trades
"""
trades: pd.DataFrame = pd.DataFrame([], columns=BT_DATA_COLUMNS)
if exportfilename:
trades = load_backtest_data(Path(exportfilename)) trades = load_backtest_data(Path(exportfilename))
elif db_url:
trades = load_trades_from_db(db_url)
return trades return trades

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@ -81,6 +81,8 @@ def plot_trades(fig, trades: pd.DataFrame):
) )
fig.append_trace(trade_buys, 1, 1) fig.append_trace(trade_buys, 1, 1)
fig.append_trace(trade_sells, 1, 1) fig.append_trace(trade_sells, 1, 1)
else:
logger.warning("No trades found.")
return fig return fig

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@ -67,11 +67,12 @@ def test_generate_row(default_conf, caplog):
assert log_has_re(r'Indicator "no_indicator" ignored\..*', caplog.record_tuples) assert log_has_re(r'Indicator "no_indicator" ignored\..*', caplog.record_tuples)
def test_plot_trades(): def test_plot_trades(caplog):
fig1 = generage_empty_figure() fig1 = generage_empty_figure()
# nothing happens when no trades are available # nothing happens when no trades are available
fig = plot_trades(fig1, None) fig = plot_trades(fig1, None)
assert fig == fig1 assert fig == fig1
assert log_has("No trades found.", caplog.record_tuples)
pair = "ADA/BTC" pair = "ADA/BTC"
filename = history.make_testdata_path(None) / "backtest-result_test.json" filename = history.make_testdata_path(None) / "backtest-result_test.json"
trades = load_backtest_data(filename) trades = load_backtest_data(filename)

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@ -125,8 +125,9 @@ def analyse_and_plot_pairs(config: Dict[str, Any]):
tickers[pair] = data tickers[pair] = data
dataframe = generate_dataframe(strategy, tickers, pair) dataframe = generate_dataframe(strategy, tickers, pair)
trades = load_trades(db_url=config["db_url"], trades = load_trades(exportfilename=config["exportfilename"],
exportfilename=config["exportfilename"]) db_url=config["db_url"],
)
trades = trades.loc[trades['pair'] == pair] trades = trades.loc[trades['pair'] == pair]
trades = extract_trades_of_period(dataframe, trades) trades = extract_trades_of_period(dataframe, trades)