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(feat) adapt visualizations to seconds

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This commit is contained in:
cardosofede
2024-05-30 13:28:04 -05:00
parent 373a497227
commit 38a21142ff
4 changed files with 5 additions and 5 deletions
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2
frontend/visualization/candles.py
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@@ -15,7 +15,7 @@ def get_candlestick_trace(df):
def get_bt_candlestick_trace(df): def get_bt_candlestick_trace(df):
df.index = pd.to_datetime(df.timestamp, unit='ms') df.index = pd.to_datetime(df.timestamp, unit='s')
return go.Scatter(x=df.index, return go.Scatter(x=df.index,
y=df['close'], y=df['close'],
mode='lines', mode='lines',

4
frontend/visualization/executors.py
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@@ -7,9 +7,9 @@ from hummingbot.connector.connector_base import TradeType
def add_executors_trace(fig, executors, row, col): def add_executors_trace(fig, executors, row, col):
for executor in executors: for executor in executors:
entry_time = pd.to_datetime(executor.timestamp, unit='ms') entry_time = pd.to_datetime(executor.timestamp, unit='s')
entry_price = executor.custom_info["current_position_average_price"] entry_price = executor.custom_info["current_position_average_price"]
exit_time = pd.to_datetime(executor.close_timestamp, unit='ms') exit_time = pd.to_datetime(executor.close_timestamp, unit='s')
exit_price = executor.custom_info["close_price"] exit_price = executor.custom_info["close_price"]
name = "Buy Executor" if executor.config.side == TradeType.BUY else "Sell Executor" name = "Buy Executor" if executor.config.side == TradeType.BUY else "Sell Executor"

2
frontend/visualization/indicators.py
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@@ -23,7 +23,7 @@ def get_bbands_traces(df, bb_length, bb_std):
def get_volume_trace(df): def get_volume_trace(df):
df.index = pd.to_datetime(df.timestamp, unit='ms') df.index = pd.to_datetime(df.timestamp, unit='s')
return go.Bar(x=df.index, y=df['volume'], name="Volume", marker_color=theme.get_color_scheme()["volume"], opacity=0.7) return go.Bar(x=df.index, y=df['volume'], name="Volume", marker_color=theme.get_color_scheme()["volume"], opacity=0.7)
def get_macd_traces(df, macd_fast, macd_slow, macd_signal): def get_macd_traces(df, macd_fast, macd_slow, macd_signal):

2
frontend/visualization/pnl.py
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@@ -7,7 +7,7 @@ def get_pnl_trace(executors):
pnl = [e.net_pnl_quote for e in executors] pnl = [e.net_pnl_quote for e in executors]
cum_pnl = np.cumsum(pnl) cum_pnl = np.cumsum(pnl)
return go.Scatter( return go.Scatter(
x=pd.to_datetime([e.close_timestamp for e in executors], unit="ms"), x=pd.to_datetime([e.close_timestamp for e in executors], unit="s"),
y=cum_pnl, y=cum_pnl,
mode='lines', mode='lines',
line=dict(color='gold', width=2, dash="dash"), line=dict(color='gold', width=2, dash="dash"),