class MaSignal(CtaSignal):
""""""
def __init__(self, fast_window: int, slow_window: int):
""""""
super().__init__()
self.fast_window = fast_window
self.slow_window = slow_window
self.bg = BarGenerator(self.on_bar, 5, self.on_5min_bar)
self.am = ArrayManager()
def on_tick(self, tick: TickData):
"""
Callback of new tick data update.
"""
self.bg.update_tick(tick)
def on_bar(self, bar: BarData):
"""
Callback of new bar data update.
"""
self.bg.update_bar(bar)
def on_5min_bar(self, bar: BarData):
""""""
self.am.update_bar(bar)
if not self.am.inited:
self.set_signal_pos(0)
fast_ma = self.am.sma(self.fast_window)
slow_ma = self.am.sma(self.slow_window)
if fast_ma > slow_ma:
self.set_signal_pos(1)
elif fast_ma < slow_ma:
self.set_signal_pos(-1)
else:
self.set_signal_pos(0)
class RsiSignal(CtaSignal):
""""""
def __init__(self, rsi_window: int, rsi_level: float):
"""Constructor"""
super().__init__()
self.rsi_window = rsi_window
self.rsi_level = rsi_level
self.rsi_long = 50 + self.rsi_level
self.rsi_short = 50 - self.rsi_level
self.bg = BarGenerator(self.on_bar)
self.am = ArrayManager()
def on_tick(self, tick: TickData):
"""
Callback of new tick data update.
"""
self.bg.update_tick(tick)
def on_bar(self, bar: BarData):
"""
Callback of new bar data update.
"""
self.am.update_bar(bar)
if not self.am.inited:
self.set_signal_pos(0)
rsi_value = self.am.rsi(self.rsi_window)
if rsi_value >= self.rsi_long:
self.set_signal_pos(1)
elif rsi_value <= self.rsi_short:
self.set_signal_pos(-1)
else:
self.set_signal_pos(0)
class MultiTimeframeStrategy(CtaTemplate):
""""""
author = "用Python的交易员"
rsi_signal = 20
rsi_window = 14
fast_window = 5
slow_window = 20
fixed_size = 1
rsi_value = 0
rsi_long = 0
rsi_short = 0
fast_ma = 0
slow_ma = 0
ma_trend = 0
parameters = ["rsi_signal", "rsi_window",
"fast_window", "slow_window",
"fixed_size"]
variables = ["rsi_value", "rsi_long", "rsi_short",
"fast_ma", "slow_ma", "ma_trend"]
def __init__(self, cta_engine, strategy_name, vt_symbol, setting):
""""""
super().__init__(cta_engine, strategy_name, vt_symbol, setting)
self.rsi_long = 50 + self.rsi_signal
self.rsi_short = 50 - self.rsi_signal
self.bg5 = BarGenerator(self.on_bar, 5, self.on_5min_bar)
self.am5 = ArrayManager()
self.bg15 = BarGenerator(self.on_bar, 15, self.on_15min_bar)
self.am15 = ArrayManager()
def on_init(self):
"""
Callback when strategy is inited.
"""
self.write_log("策略初始化")
self.load_bar(10)
def on_start(self):
"""
Callback when strategy is started.
"""
self.write_log("策略启动")
def on_stop(self):
"""
Callback when strategy is stopped.
"""
self.write_log("策略停止")
def on_tick(self, tick: TickData):
"""
Callback of new tick data update.
"""
self.bg5.update_tick(tick)
def on_bar(self, bar: BarData):
"""
Callback of new bar data update.
"""
self.bg5.update_bar(bar)
self.bg15.update_bar(bar)
def on_5min_bar(self, bar: BarData):
""""""
self.cancel_all()
self.am5.update_bar(bar)
if not self.am5.inited:
return
if not self.ma_trend:
return
self.rsi_value = self.am5.rsi(self.rsi_window)
if self.pos == 0:
if self.ma_trend > 0 and self.rsi_value >= self.rsi_long:
self.buy(bar.close_price + 5, self.fixed_size)
elif self.ma_trend < 0 and self.rsi_value <= self.rsi_short:
self.short(bar.close_price - 5, self.fixed_size)
elif self.pos > 0:
if self.ma_trend < 0 or self.rsi_value < 50:
self.sell(bar.close_price - 5, abs(self.pos))
elif self.pos < 0:
if self.ma_trend > 0 or self.rsi_value > 50:
self.cover(bar.close_price + 5, abs(self.pos))
self.put_event()
def on_15min_bar(self, bar: BarData):
""""""
self.am15.update_bar(bar)
if not self.am15.inited:
return
self.fast_ma = self.am15.sma(self.fast_window)
self.slow_ma = self.am15.sma(self.slow_window)
if self.fast_ma > self.slow_ma:
self.ma_trend = 1
else:
self.ma_trend = -1
def on_order(self, order: OrderData):
"""
Callback of new order data update.
"""
pass
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 MacdStrategy(CtaTemplate):
""""""
author = "Rudy"
shortperiod = 12 # 快线周期
longperiod = 26 # 慢线周
smoothperiod = 9 # Signal平滑周期
fixed_size = 1
# ATR参数
atr_window = 30
# ATR 的倍数
sl_multiplier = 2.1
# 参数
parameters = [
"shortperiod", "longperiod", "smoothperiod", "atr_window",
"sl_multiplier"
]
# 变量
variables = ["", "", "", "", "pos", "signal"]
def __init__(self, cta_engine, strategy_name, vt_symbol, setting):
""""""
super().__init__(cta_engine, strategy_name, vt_symbol, setting)
# self.bg5 = BarGenerator(self.on_bar, 5, self.on_5min_bar)
# self.am5 = ArrayManager()
self.bg15 = BarGenerator(self.on_bar, 60, self.on_15min_bar)
self.am15 = ArrayManager()
def on_init(self):
"""
Callback when strategy is inited.
"""
self.write_log("策略初始化")
self.load_bar(10)
def on_start(self):
"""
Callback when strategy is started.
"""
self.write_log("策略启动")
def on_stop(self):
"""
Callback when strategy is stopped.
"""
self.write_log("策略停止")
def on_tick(self, tick: TickData):
"""
Callback of new tick data update.
"""
self.bg5.update_tick(tick)
def on_bar(self, bar: BarData):
"""
Callback of new bar data update.
"""
# self.bg5.update_bar(bar)
self.bg15.update_bar(bar)
def on_5min_bar(self, bar: BarData):
""""""
self.am5.update_bar(bar)
if not self.am5.inited:
return
# self.rsi_value = self.am5.rsi(self.rsi_window)
self.put_event()
# staticmethod
def macd(self, kline, SHORTPERIODSHORTPERIOD, LONGPERIOD, SMOOTHPERIOD):
"""
close# 收盘价
SHORTPERIODSHORTPERIOD = 12 # 快线周期
LONGPERIOD = 26 # 慢线周期
SMOOTHPERIOD = 9 # Signal平滑周期
返回交易信号
"""
close = kline['close']
macd, signal, self.hist = talib.MACD(
close, SHORTPERIODSHORTPERIOD, LONGPERIOD,
SMOOTHPERIOD) # 短期MACD, 长期signal, # Hist,短线-长线
return macd, signal, self.hist
def signal(self):
if self.hist.iloc[-2] < 0 and self.hist.iloc[-1] > 0:
signal = 1
elif self.hist.iloc[-2] > 0 and self.hist.iloc[-1] < 0:
signal = -1
else:
signal = 0
return signal
def handle_data(self, kline):
# 计算mace指标
macd, signal, hist = self.macd(kline, 12, 26, 9)
signal = self.signal()
current_price = kline['close'].iloc[-1]
high_price = kline['high'].iloc[-1]
low_price = kline['low'].iloc[-1]
# 计算ATR
self.atr_value = self.am15.atr(self.atr_window)
# ------------策略逻辑 ------------------
if self.pos == 0:
if signal == 1:
self.buy(current_price, 1)
if signal == -1:
self.short(current_price, 1)
elif self.pos > 0:
if signal == -1:
self.sell(current_price, 1)
self.short(current_price, 1)
elif self.pos < 0:
if signal == 1:
self.cover(current_price, 1)
self.buy(current_price, 1)
# ------------仓位管理逻辑 ------------------
if self.pos == 0:
self.intra_trade_high = high_price
self.intra_trade_low = low_price
elif self.pos > 0:
self.intra_trade_high = max(self.intra_trade_high, high_price)
self.intra_trade_low = low_price
self.long_stop = self.intra_trade_high - self.atr_value * self.sl_multiplier
self.sell(self.long_stop, abs(self.pos), True)
# if signal == -1:
# # self.cover(current_price, 1)
# self.sell(current_price, 1)
elif self.pos < 0:
self.intra_trade_high = high_price
self.intra_trade_low = min(self.intra_trade_low, low_price)
self.short_stop = self.intra_trade_low + self.atr_value * self.sl_multiplier
self.cover(self.short_stop, abs(self.pos), True)
# if signal == 1:
# # self.cover(current_price, 1)
# self.buy(current_price, 1)
def on_15min_bar(self, bar: BarData):
"""
MACD 交易策略
:param bar:
:return:
"""
self.cancel_all()
self.am15.update_bar(bar)
if not self.am15.inited:
return
kline = self.am15.get_dataframe()
self.handle_data(kline)
def on_order(self, order: OrderData):
"""
Callback of new order data update.
"""
pass
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 TurtleSignalStrategy(CtaTemplate):
""""""
author = "用Python的交易员"
entry_window = 20
exit_window = 10
atr_window = 20
fixed_size = 1
entry_up = 0
entry_down = 0
exit_up = 0
exit_down = 0
atr_value = 0
long_entry = 0
short_entry = 0
long_stop = 0
short_stop = 0
parameters = ["entry_window", "exit_window", "atr_window", "fixed_size"]
variables = ["entry_up", "entry_down", "exit_up", "exit_down", "atr_value"]
def __init__(self, cta_engine, strategy_name, vt_symbol, setting):
""""""
super().__init__(cta_engine, strategy_name, vt_symbol, setting)
self.bg = BarGenerator(self.on_bar)
self.am = ArrayManager()
def on_init(self):
"""
Callback when strategy is inited.
"""
self.write_log("策略初始化")
self.load_bar(20)
def on_start(self):
"""
Callback when strategy is started.
"""
self.write_log("策略启动")
def on_stop(self):
"""
Callback when strategy is stopped.
"""
self.write_log("策略停止")
def on_tick(self, tick: TickData):
"""
Callback of new tick data update.
"""
self.bg.update_tick(tick)
def on_bar(self, bar: BarData):
"""
Callback of new bar data update.
"""
self.cancel_all()
self.am.update_bar(bar)
if not self.am.inited:
return
# Only calculates new entry channel when no position holding
if not self.pos:
self.entry_up, self.entry_down = self.am.donchian(
self.entry_window)
self.exit_up, self.exit_down = self.am.donchian(self.exit_window)
if not self.pos:
self.atr_value = self.am.atr(self.atr_window)
self.long_entry = 0
self.short_entry = 0
self.long_stop = 0
self.short_stop = 0
self.send_buy_orders(self.entry_up)
self.send_short_orders(self.entry_down)
elif self.pos > 0:
self.send_buy_orders(self.entry_up)
sell_price = max(self.long_stop, self.exit_down)
self.sell(sell_price, abs(self.pos), True)
elif self.pos < 0:
self.send_short_orders(self.entry_down)
cover_price = min(self.short_stop, self.exit_up)
self.cover(cover_price, abs(self.pos), True)
self.put_event()
def on_trade(self, trade: TradeData):
"""
Callback of new trade data update.
"""
if trade.direction == Direction.LONG:
self.long_entry = trade.price
self.long_stop = self.long_entry - 2 * self.atr_value
else:
self.short_entry = trade.price
self.short_stop = self.short_entry + 2 * self.atr_value
def on_order(self, order: OrderData):
"""
Callback of new order data update.
"""
pass
def on_stop_order(self, stop_order: StopOrder):
"""
Callback of stop order update.
"""
pass
def send_buy_orders(self, price):
""""""
t = self.pos / self.fixed_size
if t < 1:
self.buy(price, self.fixed_size, True)
if t < 2:
self.buy(price + self.atr_value * 0.5, self.fixed_size, True)
if t < 3:
self.buy(price + self.atr_value, self.fixed_size, True)
if t < 4:
self.buy(price + self.atr_value * 1.5, self.fixed_size, True)
def send_short_orders(self, price):
""""""
t = self.pos / self.fixed_size
if t > -1:
self.short(price, self.fixed_size, True)
if t > -2:
self.short(price - self.atr_value * 0.5, self.fixed_size, True)
if t > -3:
self.short(price - self.atr_value, self.fixed_size, True)
if t > -4:
self.short(price - self.atr_value * 1.5, self.fixed_size, True)