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BasicTemplateCryptoAlgorithm.py
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# 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 clr import AddReference
AddReference("System")
AddReference("QuantConnect.Algorithm")
AddReference("QuantConnect.Common")
from System import *
from QuantConnect import *
from QuantConnect.Algorithm import *
from QuantConnect.Brokerages import *
from QuantConnect.Orders import *
### <summary>
### The demonstration algorithm shows some of the most common order methods when working with Crypto assets.
### </summary>
### <meta name="tag" content="using data" />
### <meta name="tag" content="using quantconnect" />
### <meta name="tag" content="trading and orders" />
class BasicTemplateCryptoAlgorithm(QCAlgorithm):
def Initialize(self):
'''Initialise the data and resolution required, as well as the cash and start-end dates for your algorithm. All algorithms must initialized.'''
self.SetStartDate(2018, 4, 4) #Set Start Date
self.SetEndDate(2018, 4, 4) #Set End Date
# Although typically real brokerages as GDAX only support a single account currency,
# here we add both USD and EUR to demonstrate how to handle non-USD account currencies.
# Set Strategy Cash (USD)
self.SetCash(10000)
# Set Strategy Cash (EUR)
# EUR/USD conversion rate will be updated dynamically
self.SetCash("EUR", 10000)
# Add some coins as initial holdings
# When connected to a real brokerage, the amount specified in SetCash
# will be replaced with the amount in your actual account.
self.SetCash("BTC", 1)
self.SetCash("ETH", 5)
self.SetBrokerageModel(BrokerageName.GDAX, AccountType.Cash)
# You can uncomment the following lines when live trading with GDAX,
# to ensure limit orders will only be posted to the order book and never executed as a taker (incurring fees).
# Please note this statement has no effect in backtesting or paper trading.
# self.DefaultOrderProperties = GDAXOrderProperties()
# self.DefaultOrderProperties.PostOnly = True
# Find more symbols here: http://quantconnect.com/data
self.AddCrypto("BTCUSD", Resolution.Minute)
self.AddCrypto("ETHUSD", Resolution.Minute)
self.AddCrypto("BTCEUR", Resolution.Minute)
symbol = self.AddCrypto("LTCUSD", Resolution.Minute).Symbol
# create two moving averages
self.fast = self.EMA(symbol, 30, Resolution.Minute)
self.slow = self.EMA(symbol, 60, Resolution.Minute)
def OnData(self, data):
'''OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.
Arguments:
data: Slice object keyed by symbol containing the stock data
'''
# Note: all limit orders in this algorithm will be paying taker fees,
# they shouldn't, but they do (for now) because of this issue:
# https://github.com/QuantConnect/Lean/issues/1852
if self.Time.hour == 1 and self.Time.minute == 0:
# Sell all ETH holdings with a limit order at 1% above the current price
limitPrice = round(self.Securities["ETHUSD"].Price * 1.01, 2)
quantity = self.Portfolio.CashBook["ETH"].Amount
self.LimitOrder("ETHUSD", -quantity, limitPrice)
elif self.Time.hour == 2 and self.Time.minute == 0:
# Submit a buy limit order for BTC at 5% below the current price
usdTotal = self.Portfolio.CashBook["USD"].Amount
limitPrice = round(self.Securities["BTCUSD"].Price * 0.95, 2)
# use only half of our total USD
quantity = usdTotal * 0.5 / limitPrice
self.LimitOrder("BTCUSD", quantity, limitPrice)
elif self.Time.hour == 2 and self.Time.minute == 1:
# Get current USD available, subtracting amount reserved for buy open orders
usdTotal = self.Portfolio.CashBook["USD"].Amount
usdReserved = sum(x.Quantity * x.LimitPrice for x
in [x for x in self.Transactions.GetOpenOrders()
if x.Direction == OrderDirection.Buy
and x.Type == OrderType.Limit
and (x.Symbol.Value == "BTCUSD" or x.Symbol.Value == "ETHUSD")])
usdAvailable = usdTotal - usdReserved
self.Debug("usdAvailable: {}".format(usdAvailable))
# Submit a marketable buy limit order for ETH at 1% above the current price
limitPrice = round(self.Securities["ETHUSD"].Price * 1.01, 2)
# use all of our available USD
quantity = usdAvailable / limitPrice
# this order will be rejected (for now) because of this issue:
# https://github.com/QuantConnect/Lean/issues/1852
self.LimitOrder("ETHUSD", quantity, limitPrice)
# use only half of our available USD
quantity = usdAvailable * 0.5 / limitPrice
self.LimitOrder("ETHUSD", quantity, limitPrice)
elif self.Time.hour == 11 and self.Time.minute == 0:
# Liquidate our BTC holdings (including the initial holding)
self.SetHoldings("BTCUSD", 0)
elif self.Time.hour == 12 and self.Time.minute == 0:
# Submit a market buy order for 1 BTC using EUR
self.Buy("BTCEUR", 1)
# Submit a sell limit order at 10% above market price
limitPrice = round(self.Securities["BTCEUR"].Price * 1.1, 2)
self.LimitOrder("BTCEUR", -1, limitPrice)
elif self.Time.hour == 13 and self.Time.minute == 0:
# Cancel the limit order if not filled
self.Transactions.CancelOpenOrders("BTCEUR")
elif self.Time.hour > 13:
# To include any initial holdings, we read the LTC amount from the cashbook
# instead of using Portfolio["LTCUSD"].Quantity
if self.fast > self.slow:
if self.Portfolio.CashBook["LTC"].Amount == 0:
self.Buy("LTCUSD", 10)
else:
if self.Portfolio.CashBook["LTC"].Amount > 0:
# The following two statements currently behave differently if we have initial holdings:
# https://github.com/QuantConnect/Lean/issues/1860
self.Liquidate("LTCUSD")
# self.SetHoldings("LTCUSD", 0)
def OnOrderEvent(self, orderEvent):
self.Debug("{} {}".format(self.Time, orderEvent.ToString()))
def OnEndOfAlgorithm(self):
self.Log("{} - TotalPortfolioValue: {}".format(self.Time, self.Portfolio.TotalPortfolioValue))
self.Log("{} - CashBook: {}".format(self.Time, self.Portfolio.CashBook))