Comments (3)
Kudos for testing this out!
Being able to run talib from within njited code would fit perfectly to the idea of vectorbt, but as you see it seems to require just too much of effort. Although the current implementation in vectorbt uses an ugly pythonic loop to run talib on each column and some other tricks, it can match or sometimes overtake a comparable indicator written in pure numba, so the performance is already pretty solid. Where it could truly shine is building complex things like indicators on top of other indicators, so that's definitely a direction I'd love to move in. I have opened an issue in TA-Lib and there are tips to make it compatible, right now I'm a bit too busy with other features though.
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@untoreh great work. Have you maybe managed to get none-null elements/outputs eventually? Thank you.
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@untoreh ... were you ever able to figure out how to get talib to work with numba?
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Related Issues (20)
- Difference between `returns`, `daily_returns`, `asset_returns` and `log_returns` in portfolio HOT 1
- python 3.11 HOT 3
- import vectorbt will take forever HOT 1
- vbt.CCXTData.pull HOT 2
- 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
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