Comments (4)
Hi @ruifeng96150,
PyBroker does not currently support live trading. However, you can utilize the models trained with PyBroker in a live strategy.
from pybroker.
Is there a way to extract the trained model object from a backtest?
from pybroker.
You can save your trained model inside of the train function.
from pybroker.
Can't believe I didn't think of that. Thanks!
from pybroker.
Related Issues (20)
- enable_fractional_shares is not considered by calc_target_shares HOT 3
- Adding interactive examples
- Add cababillity to pickle the Portfolio object and then reuse it for incremental backtests or live trading HOT 14
- Unclear which timezone between_time uses HOT 9
- How to limit the order price to satisfy "Limit up" or "Limit down" rule? HOT 1
- profit_factor below confidence interval HOT 1
- How to specify the closing price as the opening price of the next bar in Strategy.backtest()? HOT 1
- dependency conflicts HOT 1
- Suspicious short trade in a pure long trades HOT 6
- pip install lib-pybroker fail HOT 1
- "ValueError: DataSource is empty." for Akshare as data sources HOT 4
- Question about shares and pnl number in "result.trades" HOT 8
- can't backtest with fresh installation HOT 4
- Support Pandas 2 HOT 5
- Return indicator values and model predictions from Strategy HOT 1
- Add support for global models HOT 1
- Support custom fee structure HOT 3
- Add config option for disabling quantization in results HOT 1
- question about ctx.dt and indicator value HOT 3
- Error: Fill price 0 for prices below 0.005$ (like many cryptocurrencies) HOT 3
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