Run the algorithm.
(self, data_portal=None)
| 619 | return self._create_generator(self.sim_params) |
| 620 | |
| 621 | def run(self, data_portal=None): |
| 622 | """Run the algorithm. |
| 623 | """ |
| 624 | # HACK: I don't think we really want to support passing a data portal |
| 625 | # this late in the long term, but this is needed for now for backwards |
| 626 | # compat downstream. |
| 627 | if data_portal is not None: |
| 628 | self.data_portal = data_portal |
| 629 | self.asset_finder = data_portal.asset_finder |
| 630 | elif self.data_portal is None: |
| 631 | raise RuntimeError( |
| 632 | "No data portal in TradingAlgorithm.run().\n" |
| 633 | "Either pass a DataPortal to TradingAlgorithm() or to run()." |
| 634 | ) |
| 635 | else: |
| 636 | assert self.asset_finder is not None, \ |
| 637 | "Have data portal without asset_finder." |
| 638 | |
| 639 | # Create zipline and loop through simulated_trading. |
| 640 | # Each iteration returns a perf dictionary |
| 641 | try: |
| 642 | perfs = [] |
| 643 | for perf in self.get_generator(): |
| 644 | perfs.append(perf) |
| 645 | |
| 646 | # convert perf dict to pandas dataframe |
| 647 | daily_stats = self._create_daily_stats(perfs) |
| 648 | |
| 649 | self.analyze(daily_stats) |
| 650 | finally: |
| 651 | self.data_portal = None |
| 652 | self.metrics_tracker = None |
| 653 | |
| 654 | return daily_stats |
| 655 | |
| 656 | def _create_daily_stats(self, perfs): |
| 657 | # create daily and cumulative stats dataframe |
no test coverage detected