a309322ae5
Python Virtual Environments / build (push) Has been cancelled
Benchmarks / build (push) Has been cancelled
Build & Test Lean / build (push) Has been cancelled
Regression Tests / build (push) Has been cancelled
Research Regression Tests / build (push) Has been cancelled
* Fix bug The algorithm `CustomPartialFillModelAlgorithm.cs` was not working as expected with short orders because in its Fill model, the variable `absoluteRemaining` instead of decrease was being increased since the `FillQuantity` in each call to this method was negative. Therefore when this amount was substracted to `absoluteRemaining`, instead of substract, it was added. Hence the method created more partial orders than expected, specifically: 580 short orders for SPY with Quantity -10. * Fix `CustomPartialFillModelAlgorithm.py` * Address required changes * Nit change * Address required changes
73 lines
2.9 KiB
Python
73 lines
2.9 KiB
Python
# QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals.
|
|
# Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation.
|
|
#
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
|
# you may not use this file except in compliance with the License.
|
|
# You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
|
|
from AlgorithmImports import *
|
|
|
|
### <summary>
|
|
### Basic template algorithm that implements a fill model with partial fills
|
|
### <meta name="tag" content="trading and orders" />
|
|
### </summary>
|
|
class CustomPartialFillModelAlgorithm(QCAlgorithm):
|
|
'''Basic template algorithm that implements a fill model with partial fills'''
|
|
|
|
def Initialize(self):
|
|
self.SetStartDate(2019, 1, 1)
|
|
self.SetEndDate(2019, 3, 1)
|
|
|
|
equity = self.AddEquity("SPY", Resolution.Hour)
|
|
self.spy = equity.Symbol
|
|
self.holdings = equity.Holdings
|
|
|
|
# Set the fill model
|
|
equity.SetFillModel(CustomPartialFillModel(self))
|
|
|
|
|
|
def OnData(self, data):
|
|
open_orders = self.Transactions.GetOpenOrders(self.spy)
|
|
if len(open_orders) != 0: return
|
|
|
|
if self.Time.day > 10 and self.holdings.Quantity <= 0:
|
|
self.MarketOrder(self.spy, 105, True)
|
|
|
|
elif self.Time.day > 20 and self.holdings.Quantity >= 0:
|
|
self.MarketOrder(self.spy, -100, True)
|
|
|
|
|
|
class CustomPartialFillModel(FillModel):
|
|
'''Implements a custom fill model that inherit from FillModel. Override the MarketFill method to simulate partially fill orders'''
|
|
|
|
def __init__(self, algorithm):
|
|
self.algorithm = algorithm
|
|
self.absoluteRemainingByOrderId = {}
|
|
|
|
def MarketFill(self, asset, order):
|
|
absoluteRemaining = self.absoluteRemainingByOrderId.get(order.Id, order. AbsoluteQuantity)
|
|
|
|
# Create the object
|
|
fill = super().MarketFill(asset, order)
|
|
|
|
# Set the fill amount
|
|
fill.FillQuantity = np.sign(order.Quantity) * 10
|
|
|
|
if (min(abs(fill.FillQuantity), absoluteRemaining) == absoluteRemaining):
|
|
fill.FillQuantity = np.sign(order.Quantity) * absoluteRemaining
|
|
fill.Status = OrderStatus.Filled
|
|
self.absoluteRemainingByOrderId.pop(order.Id, None)
|
|
else:
|
|
fill.Status = OrderStatus.PartiallyFilled
|
|
self.absoluteRemainingByOrderId[order.Id] = absoluteRemaining - abs(fill.FillQuantity)
|
|
price = fill.FillPrice
|
|
# self.algorithm.Debug(f"{self.algorithm.Time} - Partial Fill - Remaining {self.absoluteRemainingByOrderId[order.Id]} Price - {price}")
|
|
|
|
return fill
|