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Hull Moving Average is not available?
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params = (('pfast', 40), ('pslow', 200),)
def __init__(self): # To keep track of pending orders and buy price/commission self.is_order = None self.trader_price = None self.risk = 0.05 # risk 10% self.stop_dist = 0.02 # stoploss distance 5% self.next_runs = 0 self.dataclose = self.datas[0].close self.datavolume = self.datas[0].volume self.pfast = bt.indicators.HullMovingAverage(period=self.p.pfast) self.pslow = bt.indicators.HullMovingAverage(period=self.p.pslow)
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When testing back, it can be operated. When trading on bitmex line, it will not be executed.
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My backtrader version is 1.9.66.122
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Yes, it is available.
You may want to elaborate as to what your actual problem is.
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@backtrader
If compression = 5 does not execute,
If compression = 1 can be executed, why is that?
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I think you overvalue the capacity of people to evaluate your problem. You complain first about 'bitmex line*, then about compression.
Again, you need to elaborate on what your actual problem is and what errors are generated, with which code and data.
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@backtrader
Sorry, I may not have described the problem clearly.class TestStrategy(bt.Strategy):
params = (('pfast', 40), ('pslow', 150),)def __init__(self): # To keep track of pending orders and buy price/commission self.is_order = None self.trader_price = None self.risk = 0.05 # risk 10% self.stop_dist = 0.02 # stoploss distance 5% self.next_runs = 0 self.dataclose = self.datas[0].close self.datavolume = self.datas[0].volume self.pfast = bt.indicators.HullMovingAverage(period=self.p.pfast) self.pslow = bt.indicators.HullMovingAverage(period=self.p.pslow) def start(self): self.counter = 0 print('START') def prenext(self): self.counter += 1 def next(self): if self.live_data: cash = cerebro.broker.getcash() if isinstance(cash, str): print("***** get cash is faild *****") return qty = 20 # math.ceil((cash * self.risk * 5000 * 100) / (self.data.close[0])) print(bt.num2date(self.datetime[0]), "cash=", cash, "size=", qty, "close=", self.data.close[0], "=", (self.data.close[0] > self.pfast and self.data.close[0] > self.pslow ), "=", (self.data.close[0] < self.pfast and self.data.close[0] < self.pslow )) if self.is_order == None and ( self.data.close[0] > self.pfast and self.data.close[0] > self.pslow): stop_price = round(self.data.close[0] * (1 - self.stop_dist)) qty = 20 # math.ceil((cash * self.risk * 5000 * 100) / (self.data.close[0])) print(" price=", self.data.close[0], "size=", qty) try: self.buy(size=qty, exectype=bt.Order.Market) except IndexError: time.sleep(100) self.buy(size=qty, exectype=bt.Order.Market) time.sleep(100) try: self.sell(exectype=bt.Order.StopLimit, stopPrice=stop_price, price=stop_price, size=qty) except IndexError: time.sleep(100) self.sell(exectype=bt.Order.StopLimit, stopPrice=stop_price, price=stop_price, size=qty) self.trader_price = self.data.close[0] self.is_order = 'D' # print("-", self.data.close[0]) if self.is_order == None and ( self.data.close[0] < self.pfast and self.data.close[0] < self.pslow ): stop_price = round(self.data.close[0] * (1 + self.stop_dist)) qty = 20 # math.ceil((cash * self.risk * 5000 * 100) / (self.data.close[0])) print(" price=", self.data.close[0], "size=", qty) try: self.sell(size=qty, exectype=bt.Order.Market) except IndexError: time.sleep(100) self.sell(size=qty, exectype=bt.Order.Market) time.sleep(100) try: self.buy(exectype=bt.Order.StopLimit, stopPrice=stop_price, price=stop_price, size=qty) except IndexError: time.sleep(100) self.buy(exectype=bt.Order.StopLimit, stopPrice=stop_price, price=stop_price, size=qty) self.trader_price = self.data.close[0] self.is_order = 'K' if self.is_order == 'D' and (self.data.close[0] > self.pfast and self.data.close[0] > self.pslow ): return elif self.is_order == 'D' and (self.data.close[0] < self.pfast): try: self.sell(size=qty, exectype=bt.Order.Market) print(" price=", self.data.close[0], "size=", qty, "npl=", self.data.close[0] - self.trader_price) except IndexError: time.sleep(100) self.sell(size=qty, exectype=bt.Order.Market) print(" price=", self.data.close[0], "size=", qty, "npl=", self.data.close[0] - self.trader_price) finally: self.is_order = None print('Stopping Backtrader') self.env.runstop() if self.is_order == 'K' and (self.data.close[0] < self.pfast and self.data.close[0] < self.pslow ): # logging.info(bt.num2date(self.datetime[0]), "pass", self.data.close[0]) return elif self.is_order == 'K' and (self.data.close[0] > self.pfast): try: self.buy(size=qty, exectype=bt.Order.Market) print(" price=", self.data.close[0], "size=", qty, "npl=", self.trader_price - self.data.close[0]) except IndexError: time.sleep(100) self.buy(size=qty, exectype=bt.Order.Market) print(" price=", self.data.close[0], "size=", qty, "npl=", self.trader_price - self.data.close[0]) finally: self.is_order = None print('Stopping Backtrader') self.env.runstop() def notify_data(self, data, status, *args, **kwargs): dn = data._name dt = datetime.now() msg = 'Data Status: {}, Order Status: {}'.format(data._getstatusname(status), status) print(dt, dn, msg) if data._getstatusname(status) == 'LIVE': self.live_data = True else: self.live_data = False
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When I run the following code, it's OK.
hist_start_date = datetime.utcnow() - timedelta(minutes=750) data = store.getdata(dataname='ETH/USD', name="eth_usd_min", timeframe=bt.TimeFrame.Minutes, fromdate=hist_start_date, ohlcv_limit=750, compression=1)Then run the following code without any errors and stop
hist_start_date = datetime.utcnow() - timedelta(minutes=750) data = store.getdata(dataname='ETH/USD', name="eth_usd_min", timeframe=bt.TimeFrame.Minutes, fromdate=hist_start_date, ohlcv_limit=750, compression=5)The following figure shows that if Hull Moving Average is not applied and EMA is adopted, there will be no problem at all, or Hull Moving Average is used, but compression must be set to 1. Why? Thank you very much for your reply.
