Merge pull request #159 from hummingbot/feat/adapt_ms_to_s

Feat/adapt ms to s
This commit is contained in:
Fede Cardoso
2024-07-12 20:50:38 +03:00
committed by GitHub
3 changed files with 6 additions and 6 deletions

View File

@@ -24,8 +24,8 @@ def backtesting_section(inputs, backend_api_client):
end_datetime = datetime.combine(end_date, datetime.max.time())
try:
backtesting_results = backend_api_client.run_backtesting(
start_time=int(start_datetime.timestamp()) * 1000,
end_time=int(end_datetime.timestamp()) * 1000,
start_time=int(start_datetime.timestamp()),
end_time=int(end_datetime.timestamp()),
backtesting_resolution=backtesting_resolution,
trade_cost=trade_cost / 100,
config=inputs,

View File

@@ -21,8 +21,8 @@ def get_candles(connector_name="binance", trading_pair="BTC-USDT", interval="1m"
start_time = end_time - datetime.timedelta(days=days)
df = pd.DataFrame(backend_client.get_historical_candles(connector_name, trading_pair, interval,
start_time=int(start_time.timestamp() * 1000),
end_time=int(end_time.timestamp() * 1000)))
start_time=int(start_time.timestamp()),
end_time=int(end_time.timestamp())))
df.index = pd.to_datetime(df.timestamp, unit='s')
return df

View File

@@ -29,8 +29,8 @@ if get_data_button:
connector=connector,
trading_pair=trading_pair,
interval=interval,
start_time=int(start_datetime.timestamp()) * 1000,
end_time=int(end_datetime.timestamp()) * 1000
start_time=int(start_datetime.timestamp()),
end_time=int(end_datetime.timestamp())
)
candles_df = pd.DataFrame(candles)