Comments (10)
You need to incorporate your schedule into your time series, which is done quite easily with pandas. To work 8 hours a day, just place signals only within those hours each day and generate an exit signal at the last tick of the day.
So, for example:
trading_time_idx = price.between_time('9:00','17:00',include_end=False).index
# restrict to trading time
entries[~entries.index.isin(trading_time_idx)] = False
entries[entries.index.isin(trading_time_idx)] &= True
exits[~exits.index.isin(trading_time_idx)] = False
exits[exits.index.isin(trading_time_idx)] &= True
# close position at last tick
exits.loc[exits.groupby(exits.index.date).last().index] = True
from vectorbt.
This is very helpful.
Thanks!
from vectorbt.
Does vectorbt reset the indicators at the beginning of the new trading session or after it detects large gap in the market data?
from vectorbt.
There is no detection or whatever, vectorbt receives a column (e.g. year of data) and resets only after reaching the end of the column. If you want to compute metrics per trading session you need to split this big column into many smaller columns, each per session. I can give you an example if this is what you want to achieve.
from vectorbt.
If you could give me an example that would be great. I'm working mostly with level2 data that I record myself so there is gaps in it.
I want to reset my indicators at the beginning of each trading day, so I guess splitting days into separate columns would work
Thanks
from vectorbt.
If it’s ok I’ll post an example on Saturday as I hasn’t been near my computer all this time.
from vectorbt.
Great. Thanks!
from vectorbt.
Sorry for the delay, I had to make some changes to the code to make it work.
You can find an example here.
from vectorbt.
Sorry for the delay, I had to make some changes to the code to make it work.
You can find an example here.
Cannot find the example anymore
from vectorbt.
Sorry for the delay, I had to make some changes to the code to make it work.
You can find an example here.Cannot find the example anymore
Hey @Aqua-4 I found it here: https://github.com/polakowo/vectorbt/blob/master/examples/TradingSessions.ipynb
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Related Issues (20)
- Doc Bug report HOT 1
- how to plot the trades of each symbol in portfolio HOT 1
- slippages are not applied to stop orders HOT 1
- How to import 3rd party data HOT 1
- Open short position right after closing long position with full capital HOT 3
- Installing vectorbt on Google Colab HOT 1
- plot with 1m granularity takes forever HOT 5
- portfolio.from_signals reporting HIGH variations with fees vs no fees
- set sl/tp to be triggered on exact values
- Portfolio.stats consumes large amount of memory. HOT 1
- Need to add requirement: nbformat>=4.2.0
- Vectorbt documentation code examples throws unsupported error. HOT 1
- Assertion Error with VectorBT Portfolio from MultiIndex DataFrame
- Reverse position with from_signals HOT 1
- tp_stop with accumulate gives wrong result
- Data mismatch
- Incorrect Position Size Allocation Across Multiple Assets HOT 3
- For the same precision data, there is an accuracy error in the results.
- Issues with combining multiple plots into subplots in 1 figure HOT 1
- Plotting Error: Subplot 'trade_pnl' raised an exception HOT 1
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