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* Add 'asynchronous' parameter to trading api
* Add regression algorithms
* More fixes for asynchronous orders
* Fix failing unit tests
* Fix failing unit tests
* Add multiple orders requests in transaction handler
Make each transaction thread handle requests corresponding to the same order
* Refactor order state machine in BrokerageTransactionHandler
Now using a single dictionary to hold orders and their state, either pending for submission, open or closed.
* Revert: remove complete orders from new state machine in BTH
* Add order ticket to new BTH open orders state machine
* Run syn in Backtesting transaction handler for new orders submission
* Remove OpenOrderState.SubmissionPending property
* Add Security to OpenOrderState
* Minor fix
* Cleanup
* Some cleanup in BTH
* Cleanup
* Minor fix
* Minor unit test fix
* Minor fix
* Make Brokerage.ConcurrencyEnable property virtual
* Minor change
* Cleanup
* Add 'asynchronous' parameter to SetHoldings api
* Improve regression algorithms
* feat: support MOO in CharlesSchwabBrokerageModel
* feat: validate IsMarketOpen with MOO order type in PreOrderChecks
* test:feat: Validate MOO in various Market hours time
* fix: Algo with new MOO time validation
* test:fix: set DateTime of Algo explicitly in OrderQuantityConversionTest
* Add trailing stop orders base implementation
* Handle trailing stop order prices rounding
* Implement trailing stop orders fill logic
* Minor fill model changes
* Add ApplySplit to fill model interface for models that might need to be aware of splits.
Filling trailing stop orders require keeping track of min/max prices, which need to be split adjusted.
* Add brokerage order updated event for communicating certain order types prices changes
* Add order update event args class for brokerage side order updates
* Revert IFillModel.ApplySplit
* Add trailing stop orders regression algorithm
* Updated order ticket demo algorithm to include trailing stop orders
* Some cleanup
* Support trailing stop orders in IB brokerage model
* Some cleanup
* Fix failing tests
* Fix failing regression algorithm
* Address peer review
* Add trailing stop price calculation unit tests
* Minor changes
* Minor change
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* refactor(Algorithm): Correct `Intrinino` -> `Intrinio` references
Signed-off-by: Ryan Russell <git@ryanrussell.org>
* refactor(Algorithm): Update `evemts` -> `events`
Signed-off-by: Ryan Russell <git@ryanrussell.org>
* refactor(BubbleAlgorithm): readability improvements
Signed-off-by: Ryan Russell <git@ryanrussell.org>
* refactor(OrderTicketDemoAlgorithm): readability improvements
Signed-off-by: Ryan Russell <git@ryanrussell.org>
Signed-off-by: Ryan Russell <git@ryanrussell.org>
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* Python research import improvements
- Improve start.py for research env
- Remove unrequired imports
* Centralize algorithm imports
* Add regression test GH action
* Unit test python import clean up
* Join research and main imports
* More python import clean up
* Fix failing skipped regression algorithm
StopLimitOrders seems to be coded improperly. The buy order had the limit price below the stop price, and the sell order had the limit prive above the stop price. By reversing the two, we can guarantee a sell limit at 0.25% below the close price and a buy limit at 0.25% above the close price, with a stop price at -0.1% and 0.1% respectively.
We didn't experience the expected performance improvements. Locally under
unit test there was aboout an order of magnitude throughput increase, but
when run against the history benchmark, this new approach was 60% slower.
We're reverting this for now to perform further analysis and better
understand the performance profiling of the python history stack.
- Adds log to display the python version the algorithm is using.
- Fixes python algorithms that were failing because of small subtleties
like leading zeroes.
- Updates pythonnet with a version compiled with python 3.6 flags
- Changes in DockerfileFoundation: we now use miniconda to manage the python
environment.
- Took the opportunity to add NTLK (#1349), Tensorforce (#1369) and
PyTorch/Pyro (#1385).
- Changes readme in Algorithm.Python to show steps to install miniconda
Some python algorithms suffered corrections to run under the new python framework (pythonnet).
Others were deleted because some features will be supported in futures implementations.
Adds a method in AlgorithmPythonUtil to transform C# DateTime into Python datetime
Jhonathan Abreu