class HighFrequencyStrategy(CtaTemplate):
"""
网格的高频策略，挂上下买卖单，等待成交，然后通过不断加仓降低均价
免责声明: 本策略仅供测试参考，本人不负有任何责任。使用前请熟悉代码。测试其中的bugs, 请清楚里面的功能后在使用。
币安邀请链接: https://www.binancezh.pro/cn/futures/ref/51bitquant
合约邀请码：51bitquant
"""
author = "51bitquant"
grid_step = 1.0
stop_multiplier = 15.0
trading_size = 1.0
max_pos = 15.0 # 最大的持仓数量.
stop_mins = 15.0 # 出现亏损是，暂停多长时间.
# 变量.
avg_price = 0.0
current_pos = 0.0
parameters = [
"grid_step", "stop_multiplier", "trading_size", "max_pos", "stop_mins"
]
variables = ["avg_price", "current_pos"]
def __init__(self, cta_engine: CtaEngine, strategy_name, vt_symbol,
setting):
""""""
super().__init__(cta_engine, strategy_name, vt_symbol, setting)
self.position = GridPositionCalculator(grid_step=self.grid_step)
self.avg_price = self.position.avg_price
self.current_pos = self.position.pos
# orders
self.long_orders = []
self.short_orders = []
self.stop_orders = []
self.profit_orders = []
self.timer_count = 0
self.stop_loss_interval = 0
self.trigger_stop_loss = False
self.cancel_order_interval = 0
self.tick: TickData = None
self.last_filled_order: OrderData = None
def on_init(self):
"""
Callback when strategy is inited.
"""
self.write_log("策略初始化")
def on_start(self):
"""
Callback when strategy is started.
"""
self.write_log("策略启动")
self.cta_engine.event_engine.register(EVENT_TIMER,
self.process_timer_event)
def on_stop(self):
"""
Callback when strategy is stopped.
"""
self.write_log("策略停止")
self.cta_engine.event_engine.unregister(EVENT_TIMER,
self.process_timer_event)
def process_timer_event(self, event: Event):
self.timer_count += 1
if self.timer_count >= 60:
self.timer_count = 0
# 撤销止损单子.
for vt_id in self.stop_orders:
self.cancel_order(vt_id)
if self.trigger_stop_loss:
self.stop_loss_interval += 1
# 止盈的条件, 可以放到tick里面，也可以放到定时器这里.
if abs(self.position.pos) > 0 and self.tick:
if self.position.pos > 0 and len(self.profit_orders) == 0:
price = self.position.avg_price + self.grid_step
price = max(price, self.tick.ask_price_1 * (1 + 0.0001))
vts = self.sell(price, abs(self.position.pos))
self.profit_orders.extend(vts)
print(f"多头重新下止盈单子: {vts}@{price}")
elif self.position.pos < 0 and len(self.profit_orders) == 0:
price = self.position.avg_price - self.grid_step
price = min(price, self.tick.bid_price_1 * (1 - 0.0001))
vts = self.cover(price, abs(self.position.pos))
self.profit_orders.extend(vts)
print(f"空头重新下止盈单子: {vts}@{price}")
self.cancel_order_interval += 1
if self.cancel_order_interval >= 15:
self.cancel_order_interval = 0
if abs(self.position.pos) < self.trading_size and (len(
self.long_orders) == 0 or len(self.short_orders) == 0):
self.cancel_all()
print("当前没有仓位，多空单子不对等，需要重新开始. 先撤销所有订单.")
elif 0 < abs(
self.position.pos) < (self.max_pos * self.trading_size):
if self.position.pos > 0 and len(
self.long_orders) == 0 and self.last_filled_order:
step = self.get_step()
price = self.last_filled_order.price - self.grid_step * step
price = min(price, self.tick.bid_price_1 * (1 - 0.0001))
ids = self.buy(price, self.trading_size)
self.long_orders.extend(ids)
elif self.position.pos < 0 and len(
self.short_orders) == 0 and self.last_filled_order:
step = self.get_step()
price = self.last_filled_order.price + self.grid_step * step
price = max(price, self.tick.ask_price_1 * (1 + 0.0001))
ids = self.short(price, self.trading_size)
self.short_orders.extend(ids)
def on_tick(self, tick: TickData):
"""
Callback of new tick data update.
"""
self.tick = tick
if not self.trading:
return
if tick.bid_price_1 <= 0 or tick.ask_price_1 <= 0:
self.write_log(
f"tick价格异常: bid1: {tick.bid_price_1}, ask1: {tick.ask_price_1}"
)
return
if abs(self.position.pos) < self.trading_size: # 仓位为零的情况.
if len(self.long_orders) == 0 and len(self.short_orders) == 0:
if self.trigger_stop_loss:
# 记录设置过的止损条件.
if self.stop_loss_interval < self.stop_mins * 60: # 休息15分钟.
return
else:
self.trigger_stop_loss = False
self.stop_loss_interval = 0
buy_price = tick.bid_price_1 - self.grid_step / 2
sell_price = tick.bid_price_1 + self.grid_step / 2
long_ids = self.buy(buy_price, self.trading_size)
short_ids = self.short(sell_price, self.trading_size)
self.long_orders.extend(long_ids)
self.short_orders.extend(short_ids)
print(
f"开始新的一轮状态: long_orders: {long_ids}@{buy_price}, short_orders:{short_ids}@{sell_price}"
)
if abs(self.position.pos) >= (self.max_pos *
self.trading_size) and len(
self.stop_orders) == 0:
if self.position.pos > 0 and tick.ask_price_1 < self.position.avg_price - self.stop_multiplier * self.grid_step:
vt_ids = self.sell(tick.ask_price_1, abs(self.position.pos))
stop_price = self.position.avg_price - self.stop_multiplier * self.grid_step
self.stop_orders.extend(vt_ids)
self.trigger_stop_loss = True
print(
f"下多头止损单: stop_price: {stop_price}stop@{tick.ask_price_1}")
elif self.position.pos < 0 and tick.bid_price_1 > self.position.avg_price + self.stop_multiplier * self.grid_step:
stop_price = self.position.avg_price + self.stop_multiplier * self.grid_step
vt_ids = self.cover(tick.bid_price_1, abs(self.position.pos))
self.stop_orders.extend(vt_ids)
self.trigger_stop_loss = True
print(
f"下空头止损单: stop_price: {stop_price}stop@{tick.bid_price_1}")
def on_bar(self, bar: BarData):
"""
Callback of new bar data update.
"""
pass
def get_step(self) -> int:
pos = abs(self.position.pos)
if pos < 3 * self.trading_size:
return 1
elif pos < 5 * self.trading_size:
return 2
elif pos < 8 * self.trading_size:
return 3
elif pos < 11 * self.trading_size:
return 5
elif pos < 13 * self.trading_size:
return 6
return 8
def on_order(self, order: OrderData):
"""
Callback of new order data update.
"""
self.position.update_position(order)
self.current_pos = self.position.pos
self.avg_price = self.position.avg_price
if order.vt_orderid in self.long_orders:
if order.status == Status.ALLTRADED:
self.long_orders.remove(order.vt_orderid)
print("多头成交，撤销空头订单和止盈订单")
for vt_id in (self.short_orders + self.profit_orders):
self.cancel_order(vt_id)
self.last_filled_order = order
if self.position.pos > 0:
if abs(self.position.pos
) < self.trading_size * self.max_pos:
if not self.tick:
return
step = self.get_step()
price = order.price - self.grid_step * step
price = min(price,
self.tick.bid_price_1 * (1 - 0.0001))
ids = self.buy(price, self.trading_size)
self.long_orders.extend(ids)
print(f"多头仓位继续下多头订单: {ids}@{price}")
elif order.status in [Status.REJECTED, Status.CANCELLED]:
self.long_orders.remove(order.vt_orderid)
elif order.vt_orderid in self.short_orders:
if order.status == Status.ALLTRADED:
self.short_orders.remove(order.vt_orderid)
print("空头成交，撤销多头订单和止盈订单")
for vt_id in (self.long_orders + self.profit_orders):
self.cancel_order(vt_id)
self.last_filled_order = order
if self.position.pos < 0:
if abs(self.position.pos
) < self.trading_size * self.max_pos:
if not self.tick:
return
step = self.get_step()
price = order.price + self.grid_step * step
price = max(price,
self.tick.ask_price_1 * (1 + 0.0001))
ids = self.short(price, self.trading_size)
self.short_orders.extend(ids)
print(f"空头仓位继续下空头订单: {ids}@{price}")
elif order.status in [Status.REJECTED, Status.CANCELLED]:
self.short_orders.remove(order.vt_orderid) # remove orderid
elif order.vt_orderid in self.stop_orders:
if not order.is_active():
self.stop_orders.remove(order.vt_orderid)
elif order.vt_orderid in self.profit_orders:
if not order.is_active():
self.profit_orders.remove(order.vt_orderid)
self.put_event()
def on_trade(self, trade: TradeData):
"""
Callback of new trade data update.
"""
self.put_event()
def on_stop_order(self, stop_order: StopOrder):
"""
Callback of stop order update.
"""
pass
class SpotProfitGridStrategy(CtaTemplate):
"""
币安现货网格策略，添加止盈止损的功能.
该策略没有止盈止损功能，一直在成交的上下方进行高卖低卖操作, 达到最大的单子数量的时候，会计算仓位均价，然后进行平仓操作.
免责声明: 本策略仅供测试参考，本人不负有任何责任。使用前请熟悉代码。测试其中的bugs, 请清楚里面的功能后再使用。
币安邀请链接: https://www.binancezh.pro/cn/futures/ref/51bitquant
合约邀请码：51bitquant
"""
author = "51bitquant"
grid_step = 2.0 # 网格间隙. 2usdt, 1.8USDT
profit_step = 2.0 # 获利的间隔.
trading_size = 1.0 # 每次下单的头寸.
max_pos = 100 # 最大的头寸数, 表示不会触发止损的条件.
profit_orders_counts = 5 # 出现单边吃单太多的时候会考虑止盈.
trailing_stop_multiplier = 2.0
stop_minutes = 360.0 # sleep for six hour
# 变量
avg_price = 0.0
current_pos = 0.0
parameters = ["grid_step", "profit_step", "trading_size", "max_pos", "profit_orders_counts",
"trailing_stop_multiplier", "stop_minutes"]
variables = ["avg_price", "current_pos"]
def __init__(self, cta_engine: CtaEngine, strategy_name, vt_symbol, setting):
""""""
super().__init__(cta_engine, strategy_name, vt_symbol, setting)
self.position_calculator = GridPositionCalculator(grid_step=self.grid_step) # 计算仓位用的对象
self.current_pos = self.position_calculator.pos
self.avg_price = self.position_calculator.avg_price
self.normal_timer_interval = 0
self.profit_order_interval = 0
self.stop_order_interval = 0
self.stop_strategy_interval = 0
self.long_orders = [] # 所有的long orders.
self.short_orders = [] # 所有的short orders.
self.profit_orders = [] # profit orders.
self.stop_orders = [] # stop orders.
self.trigger_stop_loss = False # 是否触发止损。
self.last_filled_order: Union[OrderData, None] = None
self.tick: Union[TickData,None] = None
def on_init(self):
"""
Callback when strategy is inited.
"""
self.write_log("策略初始化")
def on_start(self):
"""
Callback when strategy is started.
"""
self.write_log("策略启动")
self.cta_engine.event_engine.register(EVENT_TIMER, self.process_timer_event)
self.position_calculator = GridPositionCalculator(
grid_step=self.grid_step) # 计算仓位用的对象
self.avg_price = self.position_calculator.avg_price
self.current_pos = self.position_calculator.pos
def on_stop(self):
"""
Callback when strategy is stopped.
"""
self.write_log("策略停止")
self.cta_engine.event_engine.unregister(EVENT_TIMER, self.process_timer_event)
def process_timer_event(self, event: Event):
if self.tick is None:
return
if self.trigger_stop_loss:
self.stop_strategy_interval += 1 # 如果触发了止损，然后就会开始计时.
self.normal_timer_interval += 1
if self.normal_timer_interval >= NORMAL_TIMER_INTERVAL:
self.normal_timer_interval = 0
# 仓位为零的时候
if abs(self.position_calculator.pos) < self.trading_size:
if len(self.long_orders) == 0 and len(self.short_orders) == 0:
if self.trigger_stop_loss:
# 如果触发了止损就需要休息一段时间.
if self.stop_order_interval < self.stop_minutes * 60:
return
else:
self.stop_order_interval = 0
self.trigger_stop_loss = False
buy_price = self.tick.bid_price_1 - self.grid_step / 2
sell_price = self.tick.bid_price_1 + self.grid_step / 2
long_ids = self.buy(buy_price, self.trading_size)
short_ids = self.sell(sell_price, self.trading_size) # 现货。 ETH/BUSD, BTCBUSD
self.long_orders.extend(long_ids)
self.short_orders.extend(short_ids)
print(
f"开启网格交易，双边下单：LONG: { self.long_orders}: {buy_price}, SHORT: { self.short_orders}:{sell_price}")
elif len(self.long_orders) == 0 or len(self.short_orders) == 0:
print(f"仓位为零且单边网格没有订单, 先撤掉所有订单")
self.cancel_all()
elif abs(self.position_calculator.pos) >= self.trading_size:
if len(self.long_orders) > 0 and len(self.short_orders) > 0:
return
if self.last_filled_order:
price = self.last_filled_order.price
else:
price = self.tick.bid_price_1
buy_step = self.get_step()
sell_step = self.get_step()
buy_price = price - buy_step * self.grid_step
sell_price = price + sell_step * self.grid_step
buy_price = min(self.tick.bid_price_1, buy_price)
sell_price = max(self.tick.ask_price_1, sell_price)
long_ids = self.buy(buy_price, self.trading_size)
short_ids = self.sell(sell_price, self.trading_size)
self.long_orders.extend(long_ids)
self.short_orders.extend(short_ids)
print(f"仓位不为零, 根据上个订单下双边网格.LONG:{long_ids}:{buy_price}, SHORT: {short_ids}:{sell_price}")
self.profit_order_interval += 1
if self.profit_order_interval >= PROFIT_TIMER_INTERVAL:
self.profit_order_interval = 0
if abs(self.position_calculator.pos) >= self.profit_orders_counts * self.trading_size and len(
self.profit_orders) == 0:
print(f"单边网格出现超过{self.profit_orders_counts}个订单以上,头寸为:{self.position_calculator.pos}, 考虑设置止盈的情况")
if self.position_calculator.pos > 0:
price = max(self.tick.ask_price_1 * (1 + 0.0001),
self.position_calculator.avg_price + self.profit_step)
order_ids = self.sell(price, abs(self.position_calculator.pos))
self.profit_orders.extend(order_ids)
print(f"多头止盈情况: {self.position_calculator.pos}@{price}")
elif self.position_calculator.pos < 0:
price = min(self.tick.bid_price_1 * (1 - 0.0001),
self.position_calculator.avg_price - self.profit_step)
order_ids = self.buy(price, abs(self.position_calculator.pos))
self.profit_orders.extend(order_ids)
print(f"空头止盈情况: {self.position_calculator.pos}@{price}")
self.stop_order_interval += 1
if self.stop_order_interval >= STOP_TIMER_INTERVAL:
self.stop_order_interval = 0
for vt_id in self.stop_orders:
self.cancel_order(vt_id)
# 如果仓位达到最大值的时候.
if abs(self.position_calculator.pos) >= self.max_pos * self.trading_size:
if self.last_filled_order:
if self.position_calculator.pos > 0:
if self.tick.bid_price_1 < self.last_filled_order.price - self.trailing_stop_multiplier * self.grid_step:
vt_ids = self.sell(self.tick.bid_price_1, abs(self.position_calculator.pos))
self.stop_orders.extend(vt_ids)
elif self.position_calculator.pos < 0:
if self.tick.ask_price_1 > self.last_filled_order.price + self.trailing_stop_multiplier * self.grid_step:
vt_ids = self.buy(self.tick.ask_price_1, abs(self.position_calculator.pos))
self.stop_orders.extend(vt_ids)
else:
if self.position_calculator.pos > 0:
if self.tick.bid_price_1 < self.position_calculator.avg_price - self.max_pos * self.grid_step:
vt_ids = self.sell(self.tick.bid_price_1, abs(self.position_calculator.pos))
self.stop_orders.extend(vt_ids)
elif self.position_calculator.pos < 0:
if self.tick.ask_price_1 > self.position_calculator.avg_price + self.max_pos * self.grid_step:
vt_ids = self.buy(self.tick.ask_price_1, abs(self.position_calculator.pos))
self.stop_orders.extend(vt_ids)
def on_tick(self, tick: TickData):
"""
Callback of new tick data update.
"""
self.tick = tick
def on_bar(self, bar: BarData):
"""
Callback of new bar data update.
"""
pass
def on_order(self, order: OrderData):
"""
Callback of new order data update.
"""
self.position_calculator.update_position(order)
self.current_pos = self.position_calculator.pos
self.avg_price = self.position_calculator.avg_price
if order.status == Status.ALLTRADED:
if order.vt_orderid in (self.long_orders + self.short_orders):
if order.vt_orderid in self.long_orders:
self.long_orders.remove(order.vt_orderid)
if order.vt_orderid in self.short_orders:
self.short_orders.remove(order.vt_orderid)
self.cancel_all()
print(f"订单买卖单完全成交, 先撤销所有订单")
self.last_filled_order = order
if abs(self.position_calculator.pos) < self.trading_size:
print("仓位为零， 需要重新开始.")
return
# tick 存在且仓位数量还没有达到设置的最大值.
if self.tick and abs(self.position_calculator.pos) < self.max_pos * self.trading_size:
buy_step = self.get_step()
sell_step = self.get_step()
# 解决步长的问题.
buy_price = order.price - buy_step * self.grid_step
sell_price = order.price + sell_step * self.grid_step
buy_price = min(self.tick.bid_price_1 * (1 - 0.0001), buy_price)
sell_price = max(self.tick.ask_price_1 * (1 + 0.0001), sell_price) # BUSD
long_ids = self.buy(buy_price, self.trading_size)
short_ids = self.sell(sell_price, self.trading_size)
self.long_orders.extend(long_ids)
self.short_orders.extend(short_ids)
print(
f"订单完全成交, 分别下双边网格: LONG: {self.long_orders}:{buy_price}, SHORT: {self.short_orders}:{sell_price}")
elif order.vt_orderid in self.profit_orders:
self.profit_orders.remove(order.vt_orderid)
if abs(self.position_calculator.pos) < self.trading_size:
self.cancel_all()
print(f"止盈单子成交,且仓位为零, 先撤销所有订单，然后重新开始")
elif order.vt_orderid in self.stop_orders:
self.stop_orders.remove(order.vt_orderid)
if abs(self.position_calculator.pos) < self.trading_size:
self.trigger_stop_loss = True
self.cancel_all()
print("止损单子成交，且仓位为零, 先撤销所有订单，然后重新开始")
if not order.is_active():
if order.vt_orderid in self.long_orders:
self.long_orders.remove(order.vt_orderid)
elif order.vt_orderid in self.short_orders:
self.short_orders.remove(order.vt_orderid)
elif order.vt_orderid in self.profit_orders:
self.profit_orders.remove(order.vt_orderid)
elif order.vt_orderid in self.stop_orders:
self.stop_orders.remove(order.vt_orderid)
self.put_event()
def on_trade(self, trade: TradeData):
"""
Callback of new trade data update.
"""
self.put_event()
def on_stop_order(self, stop_order: StopOrder):
"""
Callback of stop order update.
"""
pass
def get_step(self) -> int:
return 1
# 1,2,3,4,5
# 1 , 1.2, 1,4