In order to add support custom python indicators for `QCAlgorithm.PlotIndicator`, we created a `PythonIndicator` class that wraps the custom python indicator. In `QCAlgorithm`, the reference of the wrapper is saved into a dictionary keyed by the python indicator handle.
- Consistently use QuantConnect/Lean naming convention for method variables;
- Use `IND(PARAM1,PARAM2, ..., PARAMN)` format for indicators. Indicators that are created by a helper method become: `IND(PARAM1,PARAM2, ..., PARAMN, SYMBOL_res)`.
- Fixes `RegressionChannelTest`.
- Implements `IIndicatorWarmUpPeriodProvider`;
- Refactors `IchimokuKinkoHyo`;
- Fixes sub-indicator computations: the `Delay` sub-indicators were accepting input from indicators that were not realy;
- Adds `Chikou` indicator (closes#919);
- Indicators with name starting with A;
- `Maximum`. `Minimum` and `MACD`;
- Adds new unit test method to `CommonIndicatorTests`: `WarmsUpProperly`;
- Indicators unit tests inherit from `CommonIndicatorTests`.
- Removes `UniverseSettings.DataNormalizationMode` (it will ne addressed in a dedicated issue: https://github.com/QuantConnect/Lean/issues/3082)
- Adds examples/tests for Tick resolution, Forex (QuoteBar data) and Custom data.
- Tick resolution is not allowed: logs a message
- Custom data example/test added in `CustomDataNiftyAlgorithm`
- Adds support for ATR and VWAP since they are, respectively, a bar and a trade bar indicator.
- Adds consolidators to handle difference between data resolution and indicator resolution.
This helper method can be used to warm up indicators individually whether it is created after the security has been added to the universe or before (universe selection scenario).
- Fix the subscription addition to `SubcriptionManager` when a History request is made before the security is created, since it should be not added.
- `IndicatorBase.Update` does not throw when an input is older than the last update. We only log (adds QuantConnect.Logging dependency to QuantConnect.Indicators) the error and discard the addition. Removes unit test for that exception.
- `IIndicatorWarmUpPeriodProvider` represents an indicator with a warm up period provider.
- `SimpleMovingAverage` and `ExponentialMovingAverage` implement `IIndicatorWarmUpPeriodProvider`.
- Updates PythonNet to 1.0.5.17
- Improve performance by adding new `interop` `type` cache holding a `bool`, true if its an `exception`. And adding a `setter` and `getter` cache for the `propertyobject`. Closes#2925.
- Decimal parsing allows numeric string in exponential notation. Closes#2918#2919.
Closes#2929
- Requires a new PythonNet 1.0.5.15 package where the different `.dll` are in a
specific folder: `\win` `\linux` and `\osx`
- Removed not present `decimal.py` from `Algorithm.Python` project. It
was moved into `Common`.
- Replace `xbuild` for `msbuild` required for using the `System.Runtime.InteropServices`.
Also note the `xbuild` on travis prints:
> >>>> xbuild tool is deprecated and will be removed in future updates, use msbuild instead <<<<
In the new package:
- C# decimal conversion will use C# double and python float due to the big performance impact of converting C# decimal to python decimal;
- Lower and Upper bands from the BollingerBands indicator are a
`CompositeIndicator` that gets updated automatically when both left and
right are updated. So there is no need to update them
again. Same happens in the `RegressionChannel` indicator. Adding unit
tests.
Prevents negative variance (mathematically impossible) in Variance
indicator.
Since variance is used to calculate standard deviation, we found that
negative variance yield double.NaN and, consequently, an arithmetic
overflow when we convert NaN into decimal.
Closes#2672
- Fixes `TrueRange` computation: it was not using the H-L range;
- Fixes `SmoothedDirectionalMovementMinus` that used a constant value instead of the defined period;
- Use a `WilderMovingAverage` to compute ADX based on DX.
- Fixes `AverageDirectionalMovementIndexRating` only be ready when there is enough past values.
- Removes external data for `AverageDirectionalMovementIndexRating` and points to column in `AverageDirectionalMovementIndex` external data.
Closes#2666
Launcher project is packed as `QuantConnect.Lean`but as a mean ot having all Lean features just calling one package.
In the same sense, `QuantConnect.Algorithm.CSharp` is included as package and added as dependecy in the `QuantConnect.Lean` package just to have a working example aailable out-of-the-box.
A constructor overload was missing in the previsous version. In the indicators' pattern they have constructors that don't need a string as the first parameter.
Refactored the code to implement QuantConnect's code style.
VWAP will submit market orders while the current price is more favorable than VWAP.
STD will submit market orders while the current price is a configured number of
standard deviations away from the mean in the favorable direction.
AlexCatarino