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Clearly differentiate trade buys sells (positive and negative)

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* Swap trade buys to cyan circles
* Show sell-reason description on buy too
* Green positive sells - red negative / 0 sells
This commit is contained in:
Matthias
2020-01-04 20:27:27 +01:00
parent bdda620397
commit 53499e01de
2 changed files with 45 additions and 17 deletions
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37
freqtrade/plot/plotting.py
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@@ -113,11 +113,31 @@ def plot_trades(fig, trades: pd.DataFrame) -> make_subplots:
"""
# Trades can be empty
if trades is not None and len(trades) > 0:
# Create description for sell summarizing the trade
trades['desc'] = trades.apply(lambda row: f"{round(row['profitperc'] * 100, 1)}%, "
f"{row['sell_reason']}, {row['duration']} min",
axis=1)
trade_buys = go.Scatter(
x=trades["open_time"],
y=trades["open_rate"],
mode='markers',
name='trade_buy',
name='Trade buy',
text=trades["desc"],
marker=dict(
symbol='circle-open',
size=11,
line=dict(width=2),
color='cyan'
)
)
trade_sells = go.Scatter(
x=trades.loc[trades['profitperc'] > 0, "close_time"],
y=trades.loc[trades['profitperc'] > 0, "close_rate"],
text=trades.loc[trades['profitperc'] > 0, "desc"],
mode='markers',
name='Sell - Profit',
marker=dict(
symbol='square-open',
size=11,
@@ -125,16 +145,12 @@ def plot_trades(fig, trades: pd.DataFrame) -> make_subplots:
color='green'
)
)
# Create description for sell summarizing the trade
desc = trades.apply(lambda row: f"{round(row['profitperc'] * 100, 1)}%, "
f"{row['sell_reason']}, {row['duration']} min",
axis=1)
trade_sells = go.Scatter(
x=trades["close_time"],
y=trades["close_rate"],
text=desc,
trade_sells_loss = go.Scatter(
x=trades.loc[trades['profitperc'] <= 0, "close_time"],
y=trades.loc[trades['profitperc'] <= 0, "close_rate"],
text=trades.loc[trades['profitperc'] <= 0, "desc"],
mode='markers',
name='trade_sell',
name='Sell - Loss',
marker=dict(
symbol='square-open',
size=11,
@@ -144,6 +160,7 @@ def plot_trades(fig, trades: pd.DataFrame) -> make_subplots:
)
fig.add_trace(trade_buys, 1, 1)
fig.add_trace(trade_sells, 1, 1)
fig.add_trace(trade_sells_loss, 1, 1)
else:
logger.warning("No trades found.")
return fig