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Add EMACrossLongOnly AAPL.XNAS bars example
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cjdsellers committed Apr 8, 2024
1 parent 3813932 commit 9410846
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116 changes: 116 additions & 0 deletions examples/backtest/databento_ema_cross_long_only_aapl_bars.py
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#!/usr/bin/env python3
# -------------------------------------------------------------------------------------------------
# Copyright (C) 2015-2024 Nautech Systems Pty Ltd. All rights reserved.
# https://nautechsystems.io
#
# Licensed under the GNU Lesser General Public License Version 3.0 (the "License");
# You may not use this file except in compliance with the License.
# You may obtain a copy of the License at https://www.gnu.org/licenses/lgpl-3.0.en.html
#
# 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.
# -------------------------------------------------------------------------------------------------

import time
from decimal import Decimal

import pandas as pd

from nautilus_trader.adapters.databento.loaders import DatabentoDataLoader
from nautilus_trader.backtest.engine import BacktestEngine
from nautilus_trader.backtest.engine import BacktestEngineConfig
from nautilus_trader.config import LoggingConfig
from nautilus_trader.config import RiskEngineConfig
from nautilus_trader.examples.strategies.ema_cross_long_only import EMACrossLongOnly
from nautilus_trader.examples.strategies.ema_cross_long_only import EMACrossLongOnlyConfig
from nautilus_trader.model.currencies import USD
from nautilus_trader.model.data import BarType
from nautilus_trader.model.enums import AccountType
from nautilus_trader.model.enums import OmsType
from nautilus_trader.model.identifiers import TraderId
from nautilus_trader.model.identifiers import Venue
from nautilus_trader.model.objects import Money
from nautilus_trader.test_kit.providers import TestInstrumentProvider
from tests import TEST_DATA_DIR


if __name__ == "__main__":
# Configure backtest engine
config = BacktestEngineConfig(
trader_id=TraderId("BACKTESTER-001"),
logging=LoggingConfig(log_level="INFO"),
risk_engine=RiskEngineConfig(bypass=True),
)

# Build the backtest engine
engine = BacktestEngine(config=config)

# Add a trading venue (multiple venues possible)
NASDAQ = Venue("XNAS") # <-- ISO 10383 MIC
engine.add_venue(
venue=NASDAQ,
oms_type=OmsType.NETTING,
account_type=AccountType.CASH,
base_currency=USD,
starting_balances=[Money(1_000_000.0, USD)],
)

# Add instruments
AAPL_XNAS = TestInstrumentProvider.equity(symbol="AAPL", venue="XNAS")
engine.add_instrument(AAPL_XNAS)

# Add data
loader = DatabentoDataLoader()

filenames = [
"aapl-xnas-ohlcv-1s-2023.dbn.zst", # <-- Longer load and run time / more accurate execution
"aapl-xnas-ohlcv-1m-2023.dbn.zst",
]

for filename in filenames:
bars = loader.from_dbn_file(
path=TEST_DATA_DIR / "databento" / "temp" / filename,
instrument_id=AAPL_XNAS.id,
)
engine.add_data(bars)

# Configure your strategy
config = EMACrossLongOnlyConfig(
instrument_id=AAPL_XNAS.id,
bar_type=BarType.from_str(f"{AAPL_XNAS.id}-1-MINUTE-LAST-EXTERNAL"),
trade_size=Decimal(100),
fast_ema_period=10,
slow_ema_period=20,
)

# Instantiate and add your strategy
strategy = EMACrossLongOnly(config=config)
engine.add_strategy(strategy=strategy)

time.sleep(0.1)
input("Press Enter to continue...")

# Run the engine (from start to end of data)
engine.run()

# Optionally view reports
with pd.option_context(
"display.max_rows",
100,
"display.max_columns",
None,
"display.width",
300,
):
print(engine.trader.generate_account_report(NASDAQ))
print(engine.trader.generate_order_fills_report())
print(engine.trader.generate_positions_report())

# For repeated backtest runs make sure to reset the engine
engine.reset()

# Good practice to dispose of the object
engine.dispose()
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# Configure backtest engine
config = BacktestEngineConfig(
trader_id=TraderId("BACKTESTER-001"),
logging=LoggingConfig(
log_level="INFO",
log_colors=True,
),
logging=LoggingConfig(log_level="INFO"),
)

# Build the backtest engine
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# Configure backtest engine
config = BacktestEngineConfig(
trader_id=TraderId("BACKTESTER-001"),
logging=LoggingConfig(
log_level="INFO",
log_colors=True,
),
logging=LoggingConfig(log_level="INFO"),
)

# Build the backtest engine
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config = EMACrossLongOnlyConfig(
instrument_id=TSLA_NYSE.id,
bar_type=BarType.from_str(f"{TSLA_NYSE.id}-1-MINUTE-LAST-INTERNAL"),
trade_size=Decimal(500),
trade_size=Decimal(1000),
fast_ema_period=10,
slow_ema_period=20,
)
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