In the example located in Algorithm.Python/BasicTemplateFuturesFrameworkAlgorithm.py listed below
from AlgorithmImports import *
from Alphas.ConstantAlphaModel import ConstantAlphaModel
from Selection.FutureUniverseSelectionModel import FutureUniverseSelectionModel
### <summary>
### Basic template futures framework algorithm uses framework components
### to define an algorithm that trades futures.
### </summary>
class BasicTemplateFuturesFrameworkAlgorithm(QCAlgorithm):
def initialize(self):
self.universe_settings.resolution = Resolution.MINUTE
self.universe_settings.extended_market_hours = self.get_extended_market_hours()
self.set_start_date(2013, 10, 7)
self.set_end_date(2013, 10, 11)
self.set_cash(100000)
# set framework models
self.set_universe_selection(FrontMonthFutureUniverseSelectionModel(self.select_future_chain_symbols))
self.set_alpha(ConstantFutureContractAlphaModel(InsightType.PRICE, InsightDirection.UP, timedelta(1)))
self.set_portfolio_construction(SingleSharePortfolioConstructionModel())
self.set_execution(ImmediateExecutionModel())
self.set_risk_management(NullRiskManagementModel())
def select_future_chain_symbols(self, utc_time):
new_york_time = Extensions.convert_from_utc(utc_time, TimeZones.NEW_YORK)
if new_york_time.date() < date(2013, 10, 9):
return [ Symbol.create(Futures.Indices.SP_500_E_MINI, SecurityType.FUTURE, Market.CME) ]
else:
return [ Symbol.create(Futures.Metals.GOLD, SecurityType.FUTURE, Market.COMEX) ]
def get_extended_market_hours(self):
return False
class FrontMonthFutureUniverseSelectionModel(FutureUniverseSelectionModel):
'''Creates futures chain universes that select the front month contract and runs a user
defined future_chain_symbol_selector every day to enable choosing different futures chains'''
def __init__(self, select_future_chain_symbols):
super().__init__(timedelta(1), select_future_chain_symbols)
def filter(self, filter):
'''Defines the futures chain universe filter'''
return (filter.front_month()
.only_apply_filter_at_market_open())
class ConstantFutureContractAlphaModel(ConstantAlphaModel):
'''Implementation of a constant alpha model that only emits insights for future symbols'''
def __init__(self, _type, direction, period):
super().__init__(_type, direction, period)
def should_emit_insight(self, utc_time, symbol):
# only emit alpha for future symbols and not underlying equity symbols
if symbol.security_type != SecurityType.FUTURE:
return False
return super().should_emit_insight(utc_time, symbol)
class SingleSharePortfolioConstructionModel(PortfolioConstructionModel):
'''Portfolio construction model that sets target quantities to 1 for up insights and -1 for down insights'''
def create_targets(self, algorithm, insights):
targets = []
for insight in insights:
targets.append(PortfolioTarget(insight.symbol, insight.direction))
return targets
------------
there are FrontMonthFutureUniverseSelectionModel() class.
They use timedelta(1).
- In this example what is the Unit of 1? is it minute?
- How is the unit determined? Is it determined by the universe_settings.resolution?
Louis Szeto
Hi Uhahahaha
It refers to the first argument of the timedelta method = 1, which by the python documentation is the “day” argument, meaning it refers to 1 day. You can modify it by specifying the argument name:
Best
Louis
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Uhahahaha
The material on this website is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory services by QuantConnect. In addition, the material offers no opinion with respect to the suitability of any security or specific investment. QuantConnect makes no guarantees as to the accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances. All investments involve risk, including loss of principal. You should consult with an investment professional before making any investment decisions.
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