Overall Statistics
Total Trades
1045
Average Win
0.00%
Average Loss
0.00%
Compounding Annual Return
52.779%
Drawdown
0.600%
Expectancy
0.240
Net Profit
0.553%
Sharpe Ratio
5.599
Loss Rate
55%
Win Rate
45%
Profit-Loss Ratio
1.76
Alpha
-0.322
Beta
54.419
Annual Standard Deviation
0.05
Annual Variance
0.002
Information Ratio
5.395
Tracking Error
0.05
Treynor Ratio
0.005
Total Fees
$0.00
from Alphas.ConstantAlphaModel import ConstantAlphaModel
from Execution.ImmediateExecutionModel import ImmediateExecutionModel
from Risk.MaximumDrawdownPercentPerSecurity import MaximumDrawdownPercentPerSecurity
from Portfolio.EqualWeightingPortfolioConstructionModel import EqualWeightingPortfolioConstructionModel
from datetime import timedelta
import numpy as np

### <summary>
### Basic template framework algorithm uses framework components to define the algorithm.
### </summary>
### <meta name="tag" content="using data" />
### <meta name="tag" content="using quantconnect" />
### <meta name="tag" content="trading and orders" />
class BasicTemplateFrameworkAlgorithm(QCAlgorithmFramework):
    '''Basic template framework algorithm uses framework components to define the algorithm.'''

    def Initialize(self):
        ''' Initialise the data and resolution required, as well as the cash and start-end dates for your algorithm. All algorithms must initialized.'''

        # Set requested data resolution
        self.UniverseSettings.Resolution = Resolution.Minute

        self.SetStartDate(2013,10,7)   #Set Start Date
        self.SetEndDate(2013,10,11)    #Set End Date
        self.SetCash(100000)           #Set Strategy Cash

        # Find more symbols here: http://quantconnect.com/data
        # Forex, CFD, Equities Resolutions: Tick, Second, Minute, Hour, Daily.
        # Futures Resolution: Tick, Second, Minute
        # Options Resolution: Minute Only.
        symbols = [ Symbol.Create('EURUSD', SecurityType.Forex, Market.Oanda),
                    Symbol.Create('EURJPY', SecurityType.Forex, Market.Oanda)]

        # set algorithm framework models
        self.SetUniverseSelection(ManualUniverseSelectionModel(symbols))
        self.SetAlpha(ConstantAlphaModel(InsightType.Price, InsightDirection.Up, timedelta(minutes = 20), 0.025, None))
        self.SetPortfolioConstruction(EqualWeightingPortfolioConstructionModel())
        self.SetExecution(ImmediateExecutionModel())
        self.SetRiskManagement(MaximumDrawdownPercentPerSecurity(0.01))

    def OnOrderEvent(self, orderEvent):
        if orderEvent.Status == OrderStatus.Filled:
            self.Debug("Purchased Stock: {0}".format(orderEvent.Symbol))