Comments (2)
This is expected behavior. By default, stop_type
is set to -1. Internally, it broadcasts this number to an array of the same shape as your output. The signal generation function then writes stop types to this array and it is returned back to the user. The attribute stop_type_readable
translates this array into an array of strings. But when you set stop_type
to None, it will create an empty (uninitialized) integer array where each element is a random number from memory. I usually do this when I want to save memory. If you intend to use stop_type
and stop_type_readable
, remove the line stop_type=None
.
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It works. Thank you very much!
from vectorbt.
Related Issues (20)
- Lack of compatibility with python 3.12? HOT 6
- How to view the total net value trend of the entire strategy HOT 2
- Exits do not trigger consistently when using limit orders with from_signals HOT 2
- Custom sizing in portfolio.from_signals.
- ImportError: cannot import name 'generated_jit' from 'numba' HOT 9
- portfolio stats calculation for dca strategies. not appear all buy orders only first HOT 1
- Error specifying `benchmark_rets` arg in `Portfolio.plot_cum_returns()` HOT 2
- 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
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