Overall Statistics
Total Trades
0
Average Win
0%
Average Loss
0%
Compounding Annual Return
0%
Drawdown
0%
Expectancy
0
Net Profit
0%
Sharpe Ratio
0
Probabilistic Sharpe Ratio
0%
Loss Rate
0%
Win Rate
0%
Profit-Loss Ratio
0
Alpha
0
Beta
0
Annual Standard Deviation
0
Annual Variance
0
Information Ratio
2.845
Tracking Error
0.252
Treynor Ratio
0
Total Fees
$0.00
Estimated Strategy Capacity
$0
Lowest Capacity Asset
 
from AlgorithmImports import *
import math
from System.Drawing import Color

class AlertFluorescentOrangeDinosaur(QCAlgorithm):

    def Initialize(self):
        self.coin = "ETHUSD"
        self.SetStartDate(2022, 6, 1)  # Set Start Date
        self.SetEndDate(2022, 6, 15)  # Set Start Date
        self.SetCash(20000)
        self.crypto_coin = self.AddCrypto(self.coin, Resolution.Daily) # To ensure correct backtesting of limit orders
        #self.crypto_coin_plot = self.AddCrypto(self.coin, Resolution.Daily)

        # define 'previous date' to assist in index at the begining/ end of day
        self.__previous = datetime.min
        
        # On the Crypto Plot we want trades, price and ema trends:
        cryptoPlot = Chart("Crypto Plot")
        #cryptoPlot.AddSeries(Series("Price", SeriesType.Candle, 0))
        cryptoPlot.AddSeries(Series("Price", SeriesType.Line, 0))
        self.AddChart(cryptoPlot)
        
    def OnData(self, data: Slice):

        self.coinprice = self.Securities[self.coin].Price
   
        # once a day (should be midnight) set the buy/ sell trigger
        #if self.__previous.date() != self.Time.date():     
            
        # plot 1x per day
        self.Plot("Crypto Plot", "Price", self.coinprice)
        #self.Log(self.Time.isoformat())
        #self.Log(self.coinprice)
        #self.Log("****")

        self.__previous = self.Time