def testCallingTradingRule(self):
# config=Config(dict(trading_rules=dict(ewmac=dict(function="systems.provided.rules.ewmac..ewmac_forecast_with_defaults"))))
NOTUSEDrawdata, data, NOTUSEDconfig = get_test_object()
rawdata = RawData()
rules = Rules()
system = System([rawdata, rules], data)
# Call with default data and config
rule = TradingRule(ewmac_forecast_with_defaults)
ans = rule.call(system, "EDOLLAR")
self.assertAlmostEqual(ans.tail(1).values[0], -3.280028, 5)
# Change the data source
rule = TradingRule(
(
"systems.provided.rules.ewmac.ewmac_forecast_with_defaults_no_vol",
["rawdata.get_daily_prices", "rawdata.daily_returns_volatility"],
dict(),
)
)
ans = rule.call(system, "EDOLLAR")
self.assertAlmostEqual(ans.tail(1).values[0], -1.24349, 5)
rule = TradingRule(
dict(
function="systems.provided.rules.ewmac.ewmac_forecast_with_defaults_no_vol",
data=["rawdata.get_daily_prices", "rawdata.daily_returns_volatility"],
other_args=dict(Lfast=50, Lslow=200),
)
)
ans = rule.call(system, "EDOLLAR")
self.assertAlmostEqual(ans.tail(1).values[0], -3.025001057146)
def _process_dict_of_trading_rules(trading_rules: dict):
processed_rules = dict(
[
(keyname, TradingRule(trading_rules[keyname]))
for keyname in trading_rules
]
)
return processed_rules
def _process_trading_rules_in_list(trading_rules: list):
processed_rules = dict(
[
("rule%d" % ruleid, TradingRule(rule))
for (ruleid, rule) in enumerate(trading_rules)
]
)
return processed_rules
def test_simple_system_trading_rule(self, data, raw_data, ewmac_8, ewmac_32):
ewmac_rule = TradingRule(ewmac)
print(ewmac_rule)
my_rules = Rules(dict(ewmac8=ewmac_8, ewmac32=ewmac_32))
print(my_rules.trading_rules()["ewmac32"])
my_system = System([my_rules, raw_data], data)
my_system.rules.get_raw_forecast("EDOLLAR", "ewmac32").tail(5)
def testProcessTradingRuleSpec(self):
ruleA = TradingRule(ewmac_forecast_with_defaults)
ruleB = TradingRule(
dict(
function=
"systems.provided.example.rules.ewmac_forecast_with_defaults_no_vol",
data=[
"rawdata.daily_prices", "rawdata.daily_returns_volatility"
],
other_args=dict(Lfast=50, Lslow=200),
))
trading_rules = dict(ruleA=ruleA, ruleB=ruleB)
ans = process_trading_rules(trading_rules)
assert "ruleA" in ans.keys()
assert "ruleB" in ans.keys()
trading_rules = [ruleA, ruleB]
ans = process_trading_rules(trading_rules)
assert "rule1" in ans.keys()
ans = process_trading_rules(ruleA)
assert ans["rule0"].function == ewmac_forecast_with_defaults
ans = process_trading_rules(ewmac_forecast_with_defaults)
assert ans["rule0"].function == ewmac_forecast_with_defaults
ans = process_trading_rules([
dict(
function=
"systems.provided.example.rules.ewmac_forecast_with_defaults_no_vol",
data=[
"rawdata.daily_prices", "rawdata.daily_returns_volatility"
],
other_args=dict(Lfast=50, Lslow=200),
)
])
assert ans["rule0"].other_args["Lfast"] == 50
def testCarryRule(self):
NOTUSEDrawdata, data, NOTUSEDconfig = get_test_object()
rawdata = RawData()
rules = Rules()
system = System([rawdata, rules], data)
rule = TradingRule(
carry,
[
"rawdata.daily_annualised_roll",
],
dict(smooth_days=90),
)
ans = rule.call(system, "EDOLLAR")
self.assertAlmostEqual(ans.tail(1).values[0], 0.138302, 5)
def testinitTradingRules(self):
rule = TradingRule((ewmac_forecast_with_defaults, [], {}))
assert rule.function == ewmac_forecast_with_defaults
rule2 = TradingRule(rule)
assert (rule.function, rule.data, rule.other_args) == (
rule2.function,
rule2.data,
rule2.other_args,
)
rule3 = TradingRule(
ewmac_forecast_with_defaults,
["data.get_instrument_price"],
dict(Lfast=50, Lslow=200),
)
assert rule3.data == ["data.get_instrument_price"]
rule4 = TradingRule(
ewmac_forecast_with_defaults,
"data.get_instrument_price",
dict(Lfast=50, Lslow=200),
)
assert rule4.data == ["data.get_instrument_price"]
try:
rule4 = TradingRule(
ewmac_forecast_with_defaults, "data.get_instrument_price"
)
rule5 = TradingRule((ewmac_forecast_with_defaults,))
raise Exception("Should have failed with 2 tuple")
except BaseException:
pass
rule7 = TradingRule(
"systems.provided.rules.ewmac.ewmac_forecast_with_defaults",
[],
dict(Lfast=50, Lslow=200),
)
assert rule7.function == rule.function
try:
rule8 = TradingRule(
"not.a.real.rule.just.a.string.of.arbitrary.text",
[],
dict(Lfast=50, Lslow=200),
)
raise Exception("Should have failed with non existent rule")
except BaseException:
pass
rule9 = TradingRule(dict(function=ewmac_forecast_with_defaults))
try:
rule10 = TradingRule(dict(functionette=ewmac_forecast_with_defaults))
raise Exception("Should have failed with no function keyword")
except BaseException:
pass
rule11 = TradingRule(
dict(
function="systems.provided.rules.ewmac.ewmac_forecast_with_defaults",
other_args=dict(Lfast=50),
data=[],
)
)
rule12 = TradingRule(ewmac_forecast_with_defaults, other_args=dict(Lfast=30))
rule13 = TradingRule(
"systems.provided.rules.ewmac.ewmac_forecast_with_defaults",
data="data.get_pricedata",
)
assert rule13.data == ["data.get_pricedata"]
rule14 = TradingRule(ewmac_forecast_with_defaults)
try:
rule15 = TradingRule(set())
raise Exception("Should have failed with other data type")
except BaseException:
pass
my_rules = Rules(dict(ewmac=ewmac))
print(my_rules.trading_rules())
from systems.basesystem import System
my_system = System([my_rules], data)
print(my_system)
print(my_system.rules.get_raw_forecast("EDOLLAR", "ewmac").tail(5))
"""
Define a TradingRule
"""
from systems.trading_rules import TradingRule
ewmac_rule = TradingRule(ewmac)
my_rules = Rules(dict(ewmac=ewmac_rule))
ewmac_rule
"""
... or two...
"""
ewmac_8 = TradingRule((ewmac, [], dict(Lfast=8, Lslow=32)))
ewmac_32 = TradingRule(
dict(
function=ewmac,
other_args=dict(
Lfast=32,
Lslow=128)))
my_rules = Rules(dict(ewmac8=ewmac_8, ewmac32=ewmac_32))
print(my_rules.trading_rules()["ewmac32"])
def test_simple_system(self):
"""
This is (mostly) the code from 'examples.introduction.simplesystem',
but without graph plotting
"""
data = csvFuturesSimData()
my_rules = Rules(ewmac)
print(my_rules.trading_rules())
my_rules = Rules(dict(ewmac=ewmac))
print(my_rules.trading_rules())
my_system = System([my_rules], data)
print(my_system)
print(my_system.rules.get_raw_forecast("EDOLLAR", "ewmac").tail(5))
ewmac_rule = TradingRule(ewmac)
my_rules = Rules(dict(ewmac=ewmac_rule))
print(ewmac_rule)
ewmac_8 = TradingRule((ewmac, [], dict(Lfast=8, Lslow=32)))
ewmac_32 = TradingRule(
dict(function=ewmac, other_args=dict(Lfast=32, Lslow=128)))
my_rules = Rules(dict(ewmac8=ewmac_8, ewmac32=ewmac_32))
print(my_rules.trading_rules()["ewmac32"])
my_system = System([my_rules], data)
my_system.rules.get_raw_forecast("EDOLLAR", "ewmac32").tail(5)
my_config = Config()
print(my_config)
empty_rules = Rules()
my_config.trading_rules = dict(ewmac8=ewmac_8, ewmac32=ewmac_32)
my_system = System([empty_rules], data, my_config)
my_system.rules.get_raw_forecast("EDOLLAR", "ewmac32").tail(5)
# we can estimate these ourselves
my_config.instruments = ["US10", "EDOLLAR", "CORN", "SP500"]
my_config.use_forecast_scale_estimates = True
fcs = ForecastScaleCap()
my_system = System([fcs, my_rules], data, my_config)
my_config.forecast_scalar_estimate["pool_instruments"] = False
print(
my_system.forecastScaleCap.get_forecast_scalar(
"EDOLLAR", "ewmac32").tail(5))
# or we can use the values from the book
my_config.forecast_scalars = dict(ewmac8=5.3, ewmac32=2.65)
my_config.use_forecast_scale_estimates = False
fcs = ForecastScaleCap()
my_system = System([fcs, my_rules], data, my_config)
print(
my_system.forecastScaleCap.get_capped_forecast(
"EDOLLAR", "ewmac32").tail(5))
# defaults
combiner = ForecastCombine()
my_system = System([fcs, my_rules, combiner], data, my_config)
print(my_system.combForecast.get_forecast_weights("EDOLLAR").tail(5))
print(
my_system.combForecast.get_forecast_diversification_multiplier(
"EDOLLAR").tail(5))
# estimates:
my_account = Account()
combiner = ForecastCombine()
my_config.forecast_weight_estimate = dict(method="one_period")
my_config.use_forecast_weight_estimates = True
my_config.use_forecast_div_mult_estimates = True
my_system = System([my_account, fcs, my_rules, combiner], data,
my_config)
# this is a bit slow, better to know what's going on
my_system.set_logging_level("on")
print(my_system.combForecast.get_forecast_weights("US10").tail(5))
print(
my_system.combForecast.get_forecast_diversification_multiplier(
"US10").tail(5))
# fixed:
my_config.forecast_weights = dict(ewmac8=0.5, ewmac32=0.5)
my_config.forecast_div_multiplier = 1.1
my_config.use_forecast_weight_estimates = False
my_config.use_forecast_div_mult_estimates = False
combiner = ForecastCombine()
my_system = System(
[fcs, empty_rules, combiner], data,
my_config) # no need for accounts if no estimation done
my_system.combForecast.get_combined_forecast("EDOLLAR").tail(5)
# size positions
possizer = PositionSizing()
my_config.percentage_vol_target = 25
my_config.notional_trading_capital = 500000
my_config.base_currency = "GBP"
my_system = System([fcs, my_rules, combiner, possizer], data,
my_config)
print(my_system.positionSize.get_price_volatility("EDOLLAR").tail(5))
print(my_system.positionSize.get_block_value("EDOLLAR").tail(5))
print(my_system.positionSize.get_underlying_price("EDOLLAR"))
print(
my_system.positionSize.get_instrument_value_vol("EDOLLAR").tail(5))
print(my_system.positionSize.get_volatility_scalar("EDOLLAR").tail(5))
print(my_system.positionSize.get_vol_target_dict())
print(my_system.positionSize.get_subsystem_position("EDOLLAR").tail(5))
# portfolio - estimated
portfolio = Portfolios()
my_config.use_instrument_weight_estimates = True
my_config.use_instrument_div_mult_estimates = True
my_config.instrument_weight_estimate = dict(method="shrinkage",
date_method="in_sample")
my_system = System(
[my_account, fcs, my_rules, combiner, possizer, portfolio], data,
my_config)
my_system.set_logging_level("on")
print(my_system.portfolio.get_instrument_weights().tail(5))
print(my_system.portfolio.get_instrument_diversification_multiplier().
tail(5))
# or fixed
portfolio = Portfolios()
my_config.use_instrument_weight_estimates = False
my_config.use_instrument_div_mult_estimates = False
my_config.instrument_weights = dict(US10=0.1,
EDOLLAR=0.4,
CORN=0.3,
SP500=0.2)
my_config.instrument_div_multiplier = 1.5
my_system = System([fcs, my_rules, combiner, possizer, portfolio],
data, my_config)
print(my_system.portfolio.get_notional_position("EDOLLAR").tail(5))
my_system = System(
[fcs, my_rules, combiner, possizer, portfolio, my_account], data,
my_config)
profits = my_system.accounts.portfolio()
print(profits.percent().stats())
# have costs data now
print(profits.gross.percent().stats())
print(profits.net.percent().stats())
my_config = Config(
dict(trading_rules=dict(ewmac8=ewmac_8, ewmac32=ewmac_32),
instrument_weights=dict(US10=0.1,
EDOLLAR=0.4,
CORN=0.3,
SP500=0.2),
instrument_div_multiplier=1.5,
forecast_scalars=dict(ewmac8=5.3, ewmac32=2.65),
forecast_weights=dict(ewmac8=0.5, ewmac32=0.5),
forecast_div_multiplier=1.1,
percentage_vol_target=25.00,
notional_trading_capital=500000,
base_currency="GBP"))
print(my_config)
my_system = System(
[
Account(),
Portfolios(),
PositionSizing(),
ForecastCombine(),
ForecastScaleCap(),
Rules()
],
data,
my_config,
)
print(my_system.portfolio.get_notional_position("EDOLLAR").tail(5))
my_config = Config("systems.provided.example.simplesystemconfig.yaml")
print(my_config)
my_system = System(
[
Account(),
Portfolios(),
PositionSizing(),
ForecastCombine(),
ForecastScaleCap(),
Rules()
],
data,
my_config,
)
print(my_system.rules.get_raw_forecast("EDOLLAR", "ewmac32").tail(5))
print(my_system.rules.get_raw_forecast("EDOLLAR", "ewmac8").tail(5))
print(
my_system.forecastScaleCap.get_capped_forecast(
"EDOLLAR", "ewmac32").tail(5))
print(
my_system.forecastScaleCap.get_forecast_scalar(
"EDOLLAR", "ewmac32"))
print(my_system.combForecast.get_combined_forecast("EDOLLAR").tail(5))
print(my_system.combForecast.get_forecast_weights("EDOLLAR").tail(5))
print(my_system.positionSize.get_subsystem_position("EDOLLAR").tail(5))
print(my_system.portfolio.get_notional_position("EDOLLAR").tail(5))
def ewmac_32():
return TradingRule(dict(function=ewmac, other_args=dict(Lfast=32, Lslow=128)))
def ewmac_8():
return TradingRule((ewmac, [], dict(Lfast=8, Lslow=32)))