| Overall Statistics |
|
Total Trades 2 Average Win 1.43% Average Loss 0% Compounding Annual Return 26.544% Drawdown 3.800% Expectancy 0 Net Profit 1.432% Sharpe Ratio 3.949 Probabilistic Sharpe Ratio 92.254% Loss Rate 0% Win Rate 100% Profit-Loss Ratio 0 Alpha 0.302 Beta 0.009 Annual Standard Deviation 0.074 Annual Variance 0.006 Information Ratio 1.827 Tracking Error 0.633 Treynor Ratio 32.45 Total Fees $1.00 Estimated Strategy Capacity $8000.00 Lowest Capacity Asset MATICUSD 2S7 |
#region imports
from AlgorithmImports import *
#endregion
class Solana_USD(QCAlgorithm):
def Initialize(self):
self.SetStartDate(2022, 10, 20) # Set Start Date
self.SetEndDate(2022, 11, 11) #Set End Date
#self.SetAccountCurrency("USD")
self.SetCash(500) # Set Strategy Cash
self.SetBrokerageModel(BrokerageName.BinanceUS, AccountType.Cash)
self.symbol = self.AddCrypto("MATICUSD", Resolution.Hour, Market.BinanceUS).Symbol
self.sto = Stochastic(14, 1, 3)
#self.sto = self.Stochastic("MATICUSD", 14, 1, 3, Resolution.Hour)
#closing_prices = self.History(self.symbol, 14, Resolution.Hour)["close"]
#for time, price in closing_prices.loc[self.symbol].items():
# self.rsi.Update(time, price)
chart = Chart("My Indicators")
#chart.AddSeries(Series('faststoch', SeriesType.Line, "0"))
chart.AddSeries(Series('MATIC stochk', SeriesType.Line, "0"))
chart.AddSeries(Series('MATIC stochd', SeriesType.Line, "0"))
chart.AddSeries(Series('MATIC stochastic', SeriesType.Line, "0"))
#chart.AddSeries(Series('Price', SeriesType.Line, "0"))
self.highestPrice = 0
self.AddChart(chart)
self.next_trade_time = datetime.min
self.entryPrice = 0
self.entryTicket = None
self.month = 0
def IsRebalanceDue(self, time):
if time.month == self.month or time.month not in [1, 4, 7, 10]:
return None
self.month = time.month
return time
def OnData(self, data):
self.PlotIndicator()
if data.QuoteBars.ContainsKey(self.symbol):
self.sto.Update(data.QuoteBars[self.symbol])
if self.sto.IsReady:
indicator_value = self.sto.Current.Value
#MATIC_fast_stoch = self.sto.FastStoch.Current.Value
MATIC_stoch_k = self.sto.StochK.Current.Value
MATIC_stoch_d = self.sto.StochD.Current.Value
price = self.Securities[self.symbol].Price
if not self.Portfolio[self.symbol].Invested and not self.Transactions.GetOpenOrders(self.symbol):
if MATIC_stoch_d <= 16 and MATIC_stoch_d > 3 and self.Time > self.next_trade_time:
quantity = self.CalculateOrderQuantity("MATICUSD", 1.0)
self.Log("MATIC order quantity set")
self.Log("MATIC buy Order @ >> {0}".format(self.Securities["MATICUSD"].Price))
self.Log("MATIC buy stoch D @ >> {0}".format(self.sto.StochD.Current.Value))
self.entryTicket = self.MarketOrder("MATICUSD", quantity)
self.entryPrice = price
if self.Portfolio[self.symbol].Invested:
if MATIC_stoch_k >= 98 and MATIC_stoch_k < 110:
self.Log("MATIC price liquidate @ >> {0}".format(self.Securities["MATICUSD"].Price))
self.Log("MATIC sell stoch @ >> {0}".format(self.sto.StochK.Current.Value))
self.Liquidate("MATICUSD")
self.next_trade_time = self.Time + timedelta(hours = 5)
if price > self.highestPrice:
self.highestPrice = price
if self.Securities["MATICUSD"].Price < (self.highestPrice * .85):
self.Liquidate("MATICUSD")
self.Log("MATIC stop loss triggered")
def PlotIndicator(self):
#self.Plot("My Indicators", "faststoch", self.sto.FastStoch.Current.Value)
self.Plot("My Indicators", "MATIC stochk", self.sto.StochK.Current.Value)
self.Plot("My Indicators", "MATIC stochd", self.sto.StochD.Current.Value)
self.Plot("My Indicators", "MATIC Price", self.Securities["MATICUSD"].Price)
#def ExitPositions(self):
#self.Liquidate(self.uvxy)
#self.Log(f"30 min before close on Friday: Fired at: {self.Time}")
def OnBrokerageDisconnect(self) -> None:
self.Debug("Brokerage connection lost")
def OnBrokerageReconnect(self) -> None:
self.Debug("Brokerage connection restored")