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quantconnect--lean/Algorithm.Python/OptionIndicatorsMirrorContractsRegressionAlgorithm.py
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Jhonathan Abreu e29bb2c5e0
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File-based options universe (#8212)
* Initial options universe with greeks implementation

* Options universe improvements

* Address peer review

* File based options universe fixes and improvements.

- Adjust OptionUniverse start-end times and period.
- Adapt unit tests and some algorithms to pass with new options universe selection.

* Updated options regression algorithms stats for new universe data

* Updated options regression algorithms stats for new universe data

* Updated options regression algorithms stats for new universe data

* Updated options regression algorithms stats for new universe data

* Updated options regression algorithms stats for new universe data

* Option chain provider with new options universe

* Allow canonical option history requests

* Address peer review

* Address peer review

* Fix symbols parsing in OptionUniverse

* Fix universe selection subscriptions start time to not include extended market hours

* Minor changes

* Minor changes

* Peer recommended changes and fixes

* Update regression algorithm stats

* Update regression algorithms stats and minor fixes

* Fix option chain provider history request

* Round option indicators values

* Added option universe csv header property

* Update regression algorithms stats

* Update regression algorithms stats

* Data fixes and regression algos stats update

* Unit test fixes

* Minor changes

* Option chain handling in live trading data feed

* Minor changes

* Added processed data provider

* Fix thread-safety violation in Slice class

* Minor change

* Update options filter universe API to use OptionUniverse data

Add new filter methods for greeks, IV and open interest

* Option filter universe api updates

* Add OptionUniverse history regression algorithms

* Add regression algorithms for new options filter universe api methods

* Added options greeks data and updated regression algorithms

* Address peer review

* Address peer review

* Add more assertions to new options filter api regression algorithms

* Minor performance improvement.

Reduce greeks binomial model steps to 140

* Minor tests updates

* Greeks numerical models performance improvements

* Greeks numerical models performance improvements

* Revert array pool change for option pricing numerical models

* Update default dividend yield provider depending on option type

* [TEST]

* Add helper method con calculate time till expiration

* Use double in price option numerical models

* Implied volatility calculation improvements

- Adjust root finding method accuracy as a factor of the option price
- Use BSM to get a first guess

* Cleanup

* Some regression algorithms and unit tests cleanup

* Regression tests updates after rebasing from master

* Add universe files

* Self review and cleanup

* Minor regression tests updates after rebase

* Fix: set data time zone to same as exchange tz for options universes

* Minor change

* Minor change

* Fix for live trading options universe selection

* Keep underlying when aggregating collections in BaseDataCollectionAggregatorEnumerator

* Update index options regression algorithms stats

* Minor change

* Address peer review

* Memory usage improvements

* Minor build fix

* Minor changes and test fixes

* Cache symbols in OptionUniverse

* Cleanup

* Fix index option creation in OptionUniverse

* Use cached underlying SID when parsing from string

* Abstract symbols cache to BaseDataCollection

* Return actual underlying symbol when mapping decomposing ICO ticker

* Address peer review

* Minor performance improvements reduce garbage

* Limit Symbols and SIDs cache size to help with memory usage

* Minor fix in symbols and sid cache cleanup

* Build fix

* Lazily parse greeks on individual access

* Cleanup and tests

* Address peer review

* Minor greeks fix

---------

Co-authored-by: Martin Molinero <martin.molinero1@gmail.com>
2024-09-09 12:39:31 -03:00

85 lines
5.2 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 *
from scipy.optimize import brentq
class OptionIndicatorsMirrorContractsRegressionAlgorithm(QCAlgorithm):
def initialize(self):
self.set_start_date(2014, 6, 5)
self.set_end_date(2014, 6, 9)
self.set_cash(100000)
equity = self.add_equity("AAPL", Resolution.DAILY).symbol
option = Symbol.create_option("AAPL", Market.USA, OptionStyle.AMERICAN, OptionRight.PUT, 650, datetime(2014, 6, 21))
self.add_option_contract(option, Resolution.DAILY)
# add the call counter side of the mirrored pair
mirror_option = Symbol.create_option("AAPL", Market.USA, OptionStyle.AMERICAN, OptionRight.CALL, 650, datetime(2014, 6, 21))
self.add_option_contract(mirror_option, Resolution.DAILY)
self.delta = self.d(option, mirror_option, option_model = OptionPricingModelType.BINOMIAL_COX_ROSS_RUBINSTEIN, iv_model = OptionPricingModelType.BLACK_SCHOLES)
self.gamma = self.g(option, mirror_option, option_model = OptionPricingModelType.FORWARD_TREE, iv_model = OptionPricingModelType.BLACK_SCHOLES)
self.vega = self.v(option, mirror_option, option_model = OptionPricingModelType.FORWARD_TREE, iv_model = OptionPricingModelType.BLACK_SCHOLES)
self.theta = self.t(option, mirror_option, option_model = OptionPricingModelType.FORWARD_TREE, iv_model = OptionPricingModelType.BLACK_SCHOLES)
self.rho = self.r(option, mirror_option, option_model = OptionPricingModelType.FORWARD_TREE, iv_model = OptionPricingModelType.BLACK_SCHOLES)
# A custom IV indicator with custom calculation of IV
risk_free_rate_model = InterestRateProvider()
dividend_yield_model = DividendYieldProvider(equity)
self.implied_volatility = CustomImpliedVolatility(option, mirror_option, risk_free_rate_model, dividend_yield_model)
self.register_indicator(option, self.implied_volatility, QuoteBarConsolidator(timedelta(1)))
self.register_indicator(mirror_option, self.implied_volatility, QuoteBarConsolidator(timedelta(1)))
self.register_indicator(equity, self.implied_volatility, TradeBarConsolidator(timedelta(1)))
# custom IV smoothing function: assume the lower IV is more "fair"
smoothing_func = lambda iv, mirror_iv: min(iv, mirror_iv)
# set the smoothing function
self.delta.implied_volatility.set_smoothing_function(smoothing_func)
self.gamma.implied_volatility.set_smoothing_function(smoothing_func)
self.vega.implied_volatility.set_smoothing_function(smoothing_func)
self.theta.implied_volatility.set_smoothing_function(smoothing_func)
self.rho.implied_volatility.set_smoothing_function(smoothing_func)
def on_end_of_algorithm(self):
if not self.implied_volatility.is_ready or not self.delta.is_ready or not self.gamma.is_ready \
or not self.vega.is_ready or not self.theta.is_ready or not self.rho.is_ready:
raise Exception("Expected IV/greeks calculated")
self.debug(f"""Implied Volatility: {self.implied_volatility.current.value},
Delta: {self.delta.current.value},
Gamma: {self.gamma.current.value},
Vega: {self.vega.current.value},
Theta: {self.theta.current.value},
Rho: {self.rho.current.value}""")
class CustomImpliedVolatility(ImpliedVolatility):
def __init__(self, option, mirror_option, risk_free_rate_model, dividend_yield_model):
super().__init__(option, risk_free_rate_model, dividend_yield_model, mirror_option)
self.set_smoothing_function(lambda iv, mirror_iv: iv)
def calculate_iv(self, time_till_expiry: float) -> float:
try:
return brentq(self.f, 1e-7, 2.0, args=(time_till_expiry), xtol=1e-4, maxiter=100)
except:
print("ImpliedVolatility.calculate_i_v(): Fail to converge, returning 0.")
return 0.0
# we demonstate put-call parity calculation here, but note that it is not suitable for American options
def f(self, vol: float, time_till_expiry: float) -> float:
call_black_price = OptionGreekIndicatorsHelper.black_theoretical_price(
vol, UnderlyingPrice.current.value, self.strike, time_till_expiry, RiskFreeRate.current.value, DividendYield.current.value, OptionRight.CALL)
put_black_price = OptionGreekIndicatorsHelper.black_theoretical_price(
vol, UnderlyingPrice.current.value, self.strike, time_till_expiry, RiskFreeRate.current.value, DividendYield.current.value, OptionRight.PUT)
return Price.current.value + OppositePrice.current.value - call_black_price - put_black_price