def passif_bet(self, selection_id, stake, per_of_spread = 1.0, max_odds =200, min_odds=1.01, odds_multip_if_no_spread = 10):
selection_id = self.list_runner[selection_id]["selection_id"]
market_id = self.list_runner[selection_id]["market_id"]
size = stake
if self.current_lay is None:
price = nearest_price(max(self.current_back * odds_multip_if_no_spread, max_odds))
else:
price = price_ticks_away(self.current_lay, -1) * (per_of_spread) + self.current_back * (1-per_of_spread)
price = nearest_price(price)
price = max(min_odds, price)
pricer = Execution(market_id, selection_id, self.customer_ref, self.strategy_id)
pricer.quote(price, size, Side.BACK)
def place_passif_bet(self):
selection_id = self.list_runner[self.active]["selection_id"]
market_id = self.list_runner[self.active]["market_id"]
size = self.stake
if self.current_lay is None:
price = nearest_price(max(self.current_back * 10, 200))
else:
price = price_ticks_away(self.current_lay, -1)
pricer = Execution(market_id, selection_id)
pricer.quote(price, size, Side.BACK)
def place_passif_bet(self):
selection_id = self.list_runner[self.the_draw]["selection_id"]
market_id = self.list_runner[self.the_draw]["market_id"]
size = self.stake
if self.current_lay is None:
price = nearest_price(max(self.current_back * 10, 200))
else:
price = price_ticks_away(self.current_lay, -1)
price = max(self.draw_limit, price)
pricer = Execution(market_id, selection_id, self.customer_ref,
self.strategy_id)
pricer.quote(price, size, Side.BACK)
def __init__(self, event_id, event_name=None, **params):
super(DrawChaser, self).__init__(event_id,
event_name=event_name,
**params)
get_logger().info("creating Runner_under_market", event_id=event_id)
self.target_profit = 5000
self.the_draw = None
self.traded = False
self.customer_ref = "draw"
if "thresh_draw" in params.keys():
self.draw_limit = nearest_price(params["thresh_draw"])
else:
self.draw_limit = 1.01
def __init__(self, event_id, event_name=None, **params):
super(MLPredictor, self).__init__(event_id,
event_name=event_name,
**params)
get_logger().info("creating Runner_under_market", event_id=event_id)
self.target_profit = 5000
self.traded = False
self.customer_ref = "ML"
assert ("predictor" in params.keys(), "no predictor given")
self.predictor = params["predictor"]
self.regressor = {}
self.regressor_team_map = {}
self.bet = None
self.bet_selection_id = None
if "min_odds" in params.keys():
self.min_odds = nearest_price(params["min_odds"])
else:
self.min_odds = 1.01
if "max_odds" in params.keys():
self.max_odds = nearest_price(params["max_odds"])
else:
self.max_odds = 1000
def test_nearest_price(price, expected):
assert nearest_price(price) == expected
def test_nearest_price(price, expected):
assert nearest_price(price) == expected