forked from nautechsystems/nautilus_trader
-
Notifications
You must be signed in to change notification settings - Fork 0
/
fx_talib_gbpusd_bars_internal.py
112 lines (96 loc) · 4.4 KB
/
fx_talib_gbpusd_bars_internal.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
#!/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 nautilus_trader.backtest.engine import BacktestEngine
from nautilus_trader.backtest.engine import BacktestEngineConfig
from nautilus_trader.backtest.models import FillModel
from nautilus_trader.backtest.modules import FXRolloverInterestConfig
from nautilus_trader.backtest.modules import FXRolloverInterestModule
from nautilus_trader.config import LoggingConfig
from nautilus_trader.config import RiskEngineConfig
from nautilus_trader.examples.strategies.talib_strategy import TALibStrategy
from nautilus_trader.examples.strategies.talib_strategy import TALibStrategyConfig
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.persistence.wranglers import QuoteTickDataWrangler
from nautilus_trader.test_kit.providers import TestDataProvider
from nautilus_trader.test_kit.providers import TestInstrumentProvider
if __name__ == "__main__":
# Configure backtest engine
config = BacktestEngineConfig(
trader_id=TraderId("BACKTESTER-001"),
logging=LoggingConfig(log_level="INFO"),
risk_engine=RiskEngineConfig(
bypass=True, # Example of bypassing pre-trade risk checks for backtests
),
)
# Build backtest engine
engine = BacktestEngine(config=config)
# Optional plug in module to simulate rollover interest,
# the data is coming from packaged test data.
provider = TestDataProvider()
interest_rate_data = provider.read_csv("short-term-interest.csv")
config = FXRolloverInterestConfig(interest_rate_data)
fx_rollover_interest = FXRolloverInterestModule(config=config)
# Create a fill model (optional)
fill_model = FillModel(
prob_fill_on_limit=0.2,
prob_fill_on_stop=0.95,
prob_slippage=0.5,
random_seed=42,
)
# Add a trading venue (multiple venues possible)
SIM = Venue("SIM")
engine.add_venue(
venue=SIM,
oms_type=OmsType.HEDGING, # Venue will generate position IDs
account_type=AccountType.MARGIN,
base_currency=USD, # Standard single-currency account
starting_balances=[Money(1_000_000, USD)], # Single-currency or multi-currency accounts
fill_model=fill_model,
modules=[fx_rollover_interest],
bar_execution=True, # If bar data should move the market (True by default)
)
# Add instruments
GBPUSD_SIM = TestInstrumentProvider.default_fx_ccy("GBP/USD", SIM)
engine.add_instrument(GBPUSD_SIM)
# Add data
wrangler = QuoteTickDataWrangler(instrument=GBPUSD_SIM)
ticks = wrangler.process_bar_data(
bid_data=provider.read_csv_bars("fxcm/gbpusd-m1-bid-2012.csv"),
ask_data=provider.read_csv_bars("fxcm/gbpusd-m1-ask-2012.csv"),
)
engine.add_data(ticks)
# Configure your strategy
config = TALibStrategyConfig(
bar_type=BarType.from_str("GBP/USD.SIM-5-MINUTE-BID-INTERNAL"),
)
# Instantiate and add your strategy
strategy = TALibStrategy(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()
# For repeated backtest runs make sure to reset the engine
engine.reset()
# Good practice to dispose of the object when done
engine.dispose()