def initialize(context):
"""
API function to define things to do at the start of the strategy.
"""
# set strategy parameters
context.lookback_data = 60
context.lookback_long = 20
context.leverage = 2.0
# reset everything at start
daily_reset(context)
# create our universe
create_universe(context)
# schedule calculation at the end of opening range (30 minutes)
schedule_function(calculate_trading_metrics, date_rules.every_day(),
time_rules.market_open(hours=0, minutes=30))
# schedule entry rules
schedule_function(no_more_entry, date_rules.every_day(),
time_rules.market_open(hours=1, minutes=30))
# schedule exit rules
schedule_function(unwind, date_rules.every_day(),
time_rules.market_close(hours=0, minutes=30))
# set trading costs
set_commission(commission.PerShare(cost=0.0, min_trade_cost=0.0))
set_slippage(slippage.FixedSlippage(0.00))
def initialize(context):
context.lookback = 12 * 21
context.offset = 1 * 21
context.min_volume = 1E8
context.max_size = 10
context.min_size = 5
context.weight = 0
context.universe = []
if context.broker.name == 'regT':
context.hedge = symbol('SPY')
elif context.broker.name == 'nse-backtest':
context.hedge = symbol('NIFTY-I')
else:
raise ValueError(f'this broker not supported:{context.broker.name}')
context.hedge_threshold = 10000
schedule_function(strategy, date_rules.month_start(days_offset=0),
time_rules.market_close(hours=2, minutes=30))
attach_pipeline(make_strategy_pipeline(context), name='strategy_pipeline')
schedule_function(hedge, date_rules.every_day(),
time_rules.market_open(hours=0, minutes=30))
schedule_function(hedge, date_rules.every_day(),
time_rules.market_close(hours=0, minutes=30))
def initialize(context):
print("{}:inside initialize".format(get_datetime()))
schedule_function(rebalance, date_rule=date_rules.month_start(),
time_rule=time_rules.market_open())
context.frequency = 120
context.loop_count = 0
def initialize(context):
"""
function to define things to do at the start of the strategy
"""
context.x = symbol('AMBUJACEM')
context.y = symbol('ACC')
context.leverage = 5
context.signal = 0
# Trade entry and exit when the z_score is +/- entry_z_score and exit_z_score respectively
context.entry_z_score = 2.0
context.exit_z_score = 0.5
# Lookback window
context.lookback = 200
# used for zscore calculation
context.z_window = 100
# Call strategy function on the first trading day of each week at 10 AM
schedule_function(pair_trading_strategy, date_rules.week_start(),
time_rules.market_open(minutes=30))
def initialize(context):
"""
function to define things to do at the start of the strategy
"""
# set the account currency, only valid for backtests
set_account_currency("USD")
# trading pound parity!
# this should work after the European sovereign crisis settled down
# and before the Brexit noise started (2012-2015)
context.x = symbol('GBP/USD')
context.y = symbol('EUR/USD')
context.leverage = 5
context.signal = 0
# Trade entry and exit when the z_score is +/- entry_z_score and exit_z_score respectively
context.entry_z_score = 2.0
context.exit_z_score = 0.5
# Lookback window
context.lookback = 720
# used for zscore calculation
context.z_window = 360
# Call strategy function after the London open every day
schedule_function(pair_trading_strategy, date_rules.every_day(),
time_rules.market_open(hours=9, minutes=30))
# square off towards to NYC close
context.trading_hours = False
# set a timeout for trading
schedule_function(stop_trading, date_rules.every_day(),
time_rules.market_close(hours=0, minutes=31))
# call square off to zero out positions 30 minutes before close.
schedule_function(daily_square_off, date_rules.every_day(),
time_rules.market_close(hours=0, minutes=30))