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Backtest Kernel - DEMO





In [1]:



    


%matplotlib inline

from kernel import *
from oanda import *
from plotting import *

api = OANDAClient(OANDAPracticeConfig())
df = api.get_bars('EUR_USD', 'M30', 5000)
df.tail()



    


















    
Out[1]:










  
    

      
      closeMid
      complete
      datetime
      highMid
      lowMid
      openMid
      time
      volume
    

  
  
    

      4995
      1.139375
      True
      2015-10-13 20:00:00
      1.139425
      1.138385
      1.138385
      1444780800000000
      158
    

    

      4996
      1.139650
      True
      2015-10-13 20:30:00
      1.139660
      1.139115
      1.139400
      1444782600000000
      198
    

    

      4997
      1.139505
      True
      2015-10-13 21:00:00
      1.140135
      1.139475
      1.139680
      1444784400000000
      237
    

    

      4998
      1.139230
      True
      2015-10-13 21:30:00
      1.139540
      1.138505
      1.139540
      1444786200000000
      373
    

    

      4999
      1.138980
      False
      2015-10-13 22:00:00
      1.139540
      1.138720
      1.139260
      1444788000000000
      92

Toy Strategy: DMA with Take_Profit/Stop_Loss





In [2]:



    


class DMA(StrategyTemplate):
    """
    DMA

    """

    def __init__(self, fast, slow, instrument='EUR_USD'):
        """

        """
        self.instrument = instrument
        self.history = []
        self.slow = slow
        self.fast = fast
        self.has_long = 0
        self.open_price = 0
        self.take_profit = 0

    def on_bar(self, bar):
        """
        Receive one bar, return signal, volume.
        :param bar: dict;
        :return: OrderType(Enum) object.
        """

        self.history.append(bar)
        curr_price = bar[BarColNames.close.value]
        # ---------------------------- #
        slow = np.mean([b[BarColNames.close.value]
                        for b in self.history[-1*self.slow:]])
        fast = np.mean([b[BarColNames.close.value]
                        for b in self.history[-1*self.fast:]])
        if fast > slow and (not self.has_long):
            self.has_long = 1
            self.open_price = curr_price
            return OrderType.buy, 10000
        if fast > slow and curr_price - self.open_price >= 0.01:  # take profit
            self.has_long = 1
            self.open_price = 0
            return OrderType.sell, 10000
        if curr_price - self.open_price <= -0.005:  # stop loss
            self.has_long = 1
            self.open_price = 0
            return OrderType.sell, 10000
        elif fast < slow:
            self.has_long = 0
            return OrderType.sell, 10000

        # ---------------------------- #
        return OrderType.none, 0

Report

  • plotting.report()




In [3]:



    


# Toy strategy


k = Kernel.naive(df)
s = DMA(20,45)
k.run_naive(s)
ax1,ax2,ax3 = report(k,ma1=20,ma2=45)

Export executed orders

  • Kernel.export_executed_orders()




In [4]:



    


k.export_executed_orders().head(10)



    


















    
Out[4]:










  
    

      
      direction
      instrument
      price
      target
      time
      volume
    

  
  
    

      0
      OrderType.buy
      EUR_USD
      1.120105
      None
      2015-05-05 12:30:00
      10000
    

    

      1
      OrderType.sell
      EUR_USD
      1.133455
      None
      2015-05-06 09:30:00
      10000
    

    

      2
      OrderType.buy
      EUR_USD
      1.117625
      None
      2015-05-12 01:30:00
      10000
    

    

      3
      OrderType.sell
      EUR_USD
      1.121995
      None
      2015-05-12 21:30:00
      10000
    

    

      4
      OrderType.buy
      EUR_USD
      1.125085
      None
      2015-05-13 03:30:00
      10000
    

    

      5
      OrderType.sell
      EUR_USD
      1.135805
      None
      2015-05-13 11:00:00
      10000
    

    

      6
      OrderType.buy
      EUR_USD
      1.140335
      None
      2015-05-14 21:00:00
      10000
    

    

      7
      OrderType.sell
      EUR_USD
      1.135990
      None
      2015-05-15 04:30:00
      10000
    

    

      8
      OrderType.buy
      EUR_USD
      1.145140
      None
      2015-05-15 15:00:00
      10000
    

    

      9
      OrderType.sell
      EUR_USD
      1.139545
      None
      2015-05-18 03:00:00
      10000

Export positions

  • Kernel.export_positions()




In [5]:



    


k.export_positions().head(10)



    


















    
Out[5]:










  
    

      
      close_price
      close_time
      direction
      instrument
      open_price
      open_time
      realized_pnl
      volume
    

  
  
    

      0
      1.133455
      2015-05-06 09:30:00
      PositionType.long
      EUR_USD
      1.120105
      2015-05-05 12:30:00
      133.50
      10000
    

    

      1
      1.121995
      2015-05-12 21:30:00
      PositionType.long
      EUR_USD
      1.117625
      2015-05-12 01:30:00
      43.70
      10000
    

    

      2
      1.135805
      2015-05-13 11:00:00
      PositionType.long
      EUR_USD
      1.125085
      2015-05-13 03:30:00
      107.20
      10000
    

    

      3
      1.135990
      2015-05-15 04:30:00
      PositionType.long
      EUR_USD
      1.140335
      2015-05-14 21:00:00
      -43.45
      10000
    

    

      4
      1.139545
      2015-05-18 03:00:00
      PositionType.long
      EUR_USD
      1.145140
      2015-05-15 15:00:00
      -55.95
      10000
    

    

      5
      1.111220
      2015-05-21 16:30:00
      PositionType.long
      EUR_USD
      1.112235
      2015-05-20 23:00:00
      -10.15
      10000
    

    

      6
      1.107970
      2015-05-22 08:30:00
      PositionType.long
      EUR_USD
      1.116445
      2015-05-22 03:00:00
      -84.75
      10000
    

    

      7
      1.086200
      2015-05-27 07:30:00
      PositionType.long
      EUR_USD
      1.091595
      2015-05-27 04:00:00
      -53.95
      10000
    

    

      8
      1.095255
      2015-05-31 23:00:00
      PositionType.long
      EUR_USD
      1.090005
      2015-05-27 19:00:00
      52.50
      10000
    

    

      9
      1.104440
      2015-06-02 07:00:00
      PositionType.long
      EUR_USD
      1.092585
      2015-06-01 23:00:00
      118.55
      10000
    

  




















In [4]:



    


s2 = DMA(12,25)
k = Kernel.naive(api.get_bars('EUR_USD', 'H1', 2000))
k.run_naive(s2)
ax1,ax2,ax3 = report(k,ma1=12,ma2=25)



    


















    
























In [5]:



    


class DMA_200(StrategyTemplate):
    """
    DMA_200

    """

    def __init__(self, fast, slow=200, instrument='EUR_USD'):
        """

        """
        self.instrument = instrument
        self.history = []
        self.slow = slow
        self.fast = fast
        self.has_long = 0
        self.open_price = 0
        self.take_profit = 0

    def on_bar(self, bar):
        """
        Receive one bar, return signal, volume.
        :param bar: dict;
        :return: OrderType(Enum) object.
        """

        self.history.append(bar)
        curr_price = bar[BarColNames.close.value]
        # ---------------------------- #
        slow = np.mean([b[BarColNames.close.value]
                        for b in self.history[-1*self.slow:]])
        fast = np.mean([b[BarColNames.close.value]
                        for b in self.history[-1*self.fast:]])
        if fast > slow and (not self.has_long):
            self.has_long = 1
            self.open_price = curr_price
            return OrderType.buy, 10000
        elif fast < slow:
            self.has_long = 0
            return OrderType.sell, 10000

        # ---------------------------- #
        return OrderType.none, 0



    











In [6]:



    


s3 = DMA_200(10)
k = Kernel.naive(api.get_bars('EUR_USD', 'D', 4000))
k.run_naive(s3)
ax1,ax2,ax3 = report(k,ma1=7,ma2=200)



    


















    
























In [19]:



    


df = api.get_bars('EUR_USD', 'H1', 2000)
pnl_list = []
for fast in range(10,60):
    s2 = DMA(12,fast)
    k = Kernel.naive(df)
    pnl_list.append(k.run_naive(s2)[-1])
    print "Finished Simulation: MA2={}".format(fast)
pnl_list



    


















    






Finished Simulation: MA2=10
Finished Simulation: MA2=11
Finished Simulation: MA2=12
Finished Simulation: MA2=13
Finished Simulation: MA2=14
Finished Simulation: MA2=15
Finished Simulation: MA2=16
Finished Simulation: MA2=17
Finished Simulation: MA2=18
Finished Simulation: MA2=19
Finished Simulation: MA2=20
Finished Simulation: MA2=21
Finished Simulation: MA2=22
Finished Simulation: MA2=23
Finished Simulation: MA2=24
Finished Simulation: MA2=25
Finished Simulation: MA2=26
Finished Simulation: MA2=27
Finished Simulation: MA2=28
Finished Simulation: MA2=29
Finished Simulation: MA2=30
Finished Simulation: MA2=31
Finished Simulation: MA2=32
Finished Simulation: MA2=33
Finished Simulation: MA2=34
Finished Simulation: MA2=35
Finished Simulation: MA2=36
Finished Simulation: MA2=37
Finished Simulation: MA2=38
Finished Simulation: MA2=39
Finished Simulation: MA2=40
Finished Simulation: MA2=41
Finished Simulation: MA2=42
Finished Simulation: MA2=43
Finished Simulation: MA2=44
Finished Simulation: MA2=45
Finished Simulation: MA2=46
Finished Simulation: MA2=47
Finished Simulation: MA2=48
Finished Simulation: MA2=49
Finished Simulation: MA2=50
Finished Simulation: MA2=51
Finished Simulation: MA2=52
Finished Simulation: MA2=53
Finished Simulation: MA2=54
Finished Simulation: MA2=55
Finished Simulation: MA2=56
Finished Simulation: MA2=57
Finished Simulation: MA2=58
Finished Simulation: MA2=59










    
Out[19]:








[999820.7000000002,
 999644.0000000001,
 1000000,
 1000002.1,
 1000147.6000000003,
 1000055.4000000001,
 999824.2,
 1000203.3000000007,
 1000211.3000000003,
 1000450.6,
 1000478.0500000003,
 1000282.3999999999,
 1000191.0500000002,
 1000278.7000000003,
 1000410.6,
 1000508.2499999999,
 1000399.65,
 1000319.6000000001,
 1000491.7000000003,
 1000378.9000000004,
 1000453.8500000003,
 1000514.9500000003,
 1000659.3,
 1000561.8,
 1000653.15,
 1000595.3499999999,
 1000533.0499999999,
 1000182.4999999999,
 1000193.4,
 1000057.5499999999,
 1000030.6000000001,
 1000093.6000000001,
 1000125.15,
 1000062.75,
 1000136.7499999999,
 1000118.3500000001,
 1000120.65,
 1000278.6,
 1000337.75,
 1000211.0,
 1000185.1499999999,
 1000195.75,
 1000265.1999999998,
 1000026.5499999998,
 1000296.6499999999,
 1000294.5499999998,
 1000201.55,
 1000114.75,
 1000071.3999999999,
 1000056.3]

















In [9]:



    


range(25,30)



    


















    
Out[9]:








[25, 26, 27, 28, 29]

















In [20]:



    


plt.plot(pnl_list)



    


















    
Out[20]:








[<matplotlib.lines.Line2D at 0x102408210>]










    
























In [48]:



    


from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import numpy as np


Z = numpy.zeros(shape=(30,30))

df = api.get_bars('EUR_USD', 'H1', 2000)
slow = 10
delta_fast = 6
for i in range(0, 30):
    delta_fast = 6
    slow = slow + 1
    for j in range(0,30):
        delta_fast += 2
        fast = slow + delta_fast
        s2 = DMA(slow,slow+delta_fast)
        k = Kernel.naive(df)
        Z[i][j] = k.run_naive(s2)[-1]
        print "Finished Simulation: {},{}".format(i,j)
Z



    


















    






Finished Simulation: 0,0
Finished Simulation: 0,1
Finished Simulation: 0,2
Finished Simulation: 0,3
Finished Simulation: 0,4
Finished Simulation: 0,5
Finished Simulation: 0,6
Finished Simulation: 0,7
Finished Simulation: 0,8
Finished Simulation: 0,9
Finished Simulation: 0,10
Finished Simulation: 0,11
Finished Simulation: 0,12
Finished Simulation: 0,13
Finished Simulation: 0,14
Finished Simulation: 0,15
Finished Simulation: 0,16
Finished Simulation: 0,17
Finished Simulation: 0,18
Finished Simulation: 0,19
Finished Simulation: 0,20
Finished Simulation: 0,21
Finished Simulation: 0,22
Finished Simulation: 0,23
Finished Simulation: 0,24
Finished Simulation: 0,25
Finished Simulation: 0,26
Finished Simulation: 0,27
Finished Simulation: 0,28
Finished Simulation: 0,29
Finished Simulation: 1,0
Finished Simulation: 1,1
Finished Simulation: 1,2
Finished Simulation: 1,3
Finished Simulation: 1,4
Finished Simulation: 1,5
Finished Simulation: 1,6
Finished Simulation: 1,7
Finished Simulation: 1,8
Finished Simulation: 1,9
Finished Simulation: 1,10
Finished Simulation: 1,11
Finished Simulation: 1,12
Finished Simulation: 1,13
Finished Simulation: 1,14
Finished Simulation: 1,15
Finished Simulation: 1,16
Finished Simulation: 1,17
Finished Simulation: 1,18
Finished Simulation: 1,19
Finished Simulation: 1,20
Finished Simulation: 1,21
Finished Simulation: 1,22
Finished Simulation: 1,23
Finished Simulation: 1,24
Finished Simulation: 1,25
Finished Simulation: 1,26
Finished Simulation: 1,27
Finished Simulation: 1,28
Finished Simulation: 1,29
Finished Simulation: 2,0
Finished Simulation: 2,1
Finished Simulation: 2,2
Finished Simulation: 2,3
Finished Simulation: 2,4
Finished Simulation: 2,5
Finished Simulation: 2,6
Finished Simulation: 2,7
Finished Simulation: 2,8
Finished Simulation: 2,9
Finished Simulation: 2,10
Finished Simulation: 2,11
Finished Simulation: 2,12
Finished Simulation: 2,13
Finished Simulation: 2,14
Finished Simulation: 2,15
Finished Simulation: 2,16
Finished Simulation: 2,17
Finished Simulation: 2,18
Finished Simulation: 2,19
Finished Simulation: 2,20
Finished Simulation: 2,21
Finished Simulation: 2,22
Finished Simulation: 2,23
Finished Simulation: 2,24
Finished Simulation: 2,25
Finished Simulation: 2,26
Finished Simulation: 2,27
Finished Simulation: 2,28
Finished Simulation: 2,29
Finished Simulation: 3,0
Finished Simulation: 3,1
Finished Simulation: 3,2
Finished Simulation: 3,3
Finished Simulation: 3,4
Finished Simulation: 3,5
Finished Simulation: 3,6
Finished Simulation: 3,7
Finished Simulation: 3,8
Finished Simulation: 3,9
Finished Simulation: 3,10
Finished Simulation: 3,11
Finished Simulation: 3,12
Finished Simulation: 3,13
Finished Simulation: 3,14
Finished Simulation: 3,15
Finished Simulation: 3,16
Finished Simulation: 3,17
Finished Simulation: 3,18
Finished Simulation: 3,19
Finished Simulation: 3,20
Finished Simulation: 3,21
Finished Simulation: 3,22
Finished Simulation: 3,23
Finished Simulation: 3,24
Finished Simulation: 3,25
Finished Simulation: 3,26
Finished Simulation: 3,27
Finished Simulation: 3,28
Finished Simulation: 3,29
Finished Simulation: 4,0
Finished Simulation: 4,1
Finished Simulation: 4,2
Finished Simulation: 4,3
Finished Simulation: 4,4
Finished Simulation: 4,5
Finished Simulation: 4,6
Finished Simulation: 4,7
Finished Simulation: 4,8
Finished Simulation: 4,9
Finished Simulation: 4,10
Finished Simulation: 4,11
Finished Simulation: 4,12
Finished Simulation: 4,13
Finished Simulation: 4,14
Finished Simulation: 4,15
Finished Simulation: 4,16
Finished Simulation: 4,17
Finished Simulation: 4,18
Finished Simulation: 4,19
Finished Simulation: 4,20
Finished Simulation: 4,21
Finished Simulation: 4,22
Finished Simulation: 4,23
Finished Simulation: 4,24
Finished Simulation: 4,25
Finished Simulation: 4,26
Finished Simulation: 4,27
Finished Simulation: 4,28
Finished Simulation: 4,29
Finished Simulation: 5,0
Finished Simulation: 5,1
Finished Simulation: 5,2
Finished Simulation: 5,3
Finished Simulation: 5,4
Finished Simulation: 5,5
Finished Simulation: 5,6
Finished Simulation: 5,7
Finished Simulation: 5,8
Finished Simulation: 5,9
Finished Simulation: 5,10
Finished Simulation: 5,11
Finished Simulation: 5,12
Finished Simulation: 5,13
Finished Simulation: 5,14
Finished Simulation: 5,15
Finished Simulation: 5,16
Finished Simulation: 5,17
Finished Simulation: 5,18
Finished Simulation: 5,19
Finished Simulation: 5,20
Finished Simulation: 5,21
Finished Simulation: 5,22
Finished Simulation: 5,23
Finished Simulation: 5,24
Finished Simulation: 5,25
Finished Simulation: 5,26
Finished Simulation: 5,27
Finished Simulation: 5,28
Finished Simulation: 5,29
Finished Simulation: 6,0
Finished Simulation: 6,1
Finished Simulation: 6,2
Finished Simulation: 6,3
Finished Simulation: 6,4
Finished Simulation: 6,5
Finished Simulation: 6,6
Finished Simulation: 6,7
Finished Simulation: 6,8
Finished Simulation: 6,9
Finished Simulation: 6,10
Finished Simulation: 6,11
Finished Simulation: 6,12
Finished Simulation: 6,13
Finished Simulation: 6,14
Finished Simulation: 6,15
Finished Simulation: 6,16
Finished Simulation: 6,17
Finished Simulation: 6,18
Finished Simulation: 6,19
Finished Simulation: 6,20
Finished Simulation: 6,21
Finished Simulation: 6,22
Finished Simulation: 6,23
Finished Simulation: 6,24
Finished Simulation: 6,25
Finished Simulation: 6,26
Finished Simulation: 6,27
Finished Simulation: 6,28
Finished Simulation: 6,29
Finished Simulation: 7,0
Finished Simulation: 7,1
Finished Simulation: 7,2
Finished Simulation: 7,3
Finished Simulation: 7,4
Finished Simulation: 7,5
Finished Simulation: 7,6
Finished Simulation: 7,7
Finished Simulation: 7,8
Finished Simulation: 7,9
Finished Simulation: 7,10
Finished Simulation: 7,11
Finished Simulation: 7,12
Finished Simulation: 7,13
Finished Simulation: 7,14
Finished Simulation: 7,15
Finished Simulation: 7,16
Finished Simulation: 7,17
Finished Simulation: 7,18
Finished Simulation: 7,19
Finished Simulation: 7,20
Finished Simulation: 7,21
Finished Simulation: 7,22
Finished Simulation: 7,23
Finished Simulation: 7,24
Finished Simulation: 7,25
Finished Simulation: 7,26
Finished Simulation: 7,27
Finished Simulation: 7,28
Finished Simulation: 7,29
Finished Simulation: 8,0
Finished Simulation: 8,1
Finished Simulation: 8,2
Finished Simulation: 8,3
Finished Simulation: 8,4
Finished Simulation: 8,5
Finished Simulation: 8,6
Finished Simulation: 8,7
Finished Simulation: 8,8
Finished Simulation: 8,9
Finished Simulation: 8,10
Finished Simulation: 8,11
Finished Simulation: 8,12
Finished Simulation: 8,13
Finished Simulation: 8,14
Finished Simulation: 8,15
Finished Simulation: 8,16
Finished Simulation: 8,17
Finished Simulation: 8,18
Finished Simulation: 8,19
Finished Simulation: 8,20
Finished Simulation: 8,21
Finished Simulation: 8,22
Finished Simulation: 8,23
Finished Simulation: 8,24
Finished Simulation: 8,25
Finished Simulation: 8,26
Finished Simulation: 8,27
Finished Simulation: 8,28
Finished Simulation: 8,29
Finished Simulation: 9,0
Finished Simulation: 9,1
Finished Simulation: 9,2
Finished Simulation: 9,3
Finished Simulation: 9,4
Finished Simulation: 9,5
Finished Simulation: 9,6
Finished Simulation: 9,7
Finished Simulation: 9,8
Finished Simulation: 9,9
Finished Simulation: 9,10
Finished Simulation: 9,11
Finished Simulation: 9,12
Finished Simulation: 9,13
Finished Simulation: 9,14
Finished Simulation: 9,15
Finished Simulation: 9,16
Finished Simulation: 9,17
Finished Simulation: 9,18
Finished Simulation: 9,19
Finished Simulation: 9,20
Finished Simulation: 9,21
Finished Simulation: 9,22
Finished Simulation: 9,23
Finished Simulation: 9,24
Finished Simulation: 9,25
Finished Simulation: 9,26
Finished Simulation: 9,27
Finished Simulation: 9,28
Finished Simulation: 9,29
Finished Simulation: 10,0
Finished Simulation: 10,1
Finished Simulation: 10,2
Finished Simulation: 10,3
Finished Simulation: 10,4
Finished Simulation: 10,5
Finished Simulation: 10,6
Finished Simulation: 10,7
Finished Simulation: 10,8
Finished Simulation: 10,9
Finished Simulation: 10,10
Finished Simulation: 10,11
Finished Simulation: 10,12
Finished Simulation: 10,13
Finished Simulation: 10,14
Finished Simulation: 10,15
Finished Simulation: 10,16
Finished Simulation: 10,17
Finished Simulation: 10,18
Finished Simulation: 10,19
Finished Simulation: 10,20
Finished Simulation: 10,21
Finished Simulation: 10,22
Finished Simulation: 10,23
Finished Simulation: 10,24
Finished Simulation: 10,25
Finished Simulation: 10,26
Finished Simulation: 10,27
Finished Simulation: 10,28
Finished Simulation: 10,29
Finished Simulation: 11,0
Finished Simulation: 11,1
Finished Simulation: 11,2
Finished Simulation: 11,3
Finished Simulation: 11,4
Finished Simulation: 11,5
Finished Simulation: 11,6
Finished Simulation: 11,7
Finished Simulation: 11,8
Finished Simulation: 11,9
Finished Simulation: 11,10
Finished Simulation: 11,11
Finished Simulation: 11,12
Finished Simulation: 11,13
Finished Simulation: 11,14
Finished Simulation: 11,15
Finished Simulation: 11,16
Finished Simulation: 11,17
Finished Simulation: 11,18
Finished Simulation: 11,19
Finished Simulation: 11,20
Finished Simulation: 11,21
Finished Simulation: 11,22
Finished Simulation: 11,23
Finished Simulation: 11,24
Finished Simulation: 11,25
Finished Simulation: 11,26
Finished Simulation: 11,27
Finished Simulation: 11,28
Finished Simulation: 11,29
Finished Simulation: 12,0
Finished Simulation: 12,1
Finished Simulation: 12,2
Finished Simulation: 12,3
Finished Simulation: 12,4
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Finished Simulation: 18,0
Finished Simulation: 18,1
Finished Simulation: 18,2
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Finished Simulation: 18,4
Finished Simulation: 18,5
Finished Simulation: 18,6
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Finished Simulation: 18,29
Finished Simulation: 19,0
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Finished Simulation: 19,4
Finished Simulation: 19,5
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Finished Simulation: 19,24
Finished Simulation: 19,25
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Finished Simulation: 19,28
Finished Simulation: 19,29
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Finished Simulation: 20,1
Finished Simulation: 20,2
Finished Simulation: 20,3
Finished Simulation: 20,4
Finished Simulation: 20,5
Finished Simulation: 20,6
Finished Simulation: 20,7
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Finished Simulation: 20,10
Finished Simulation: 20,11
Finished Simulation: 20,12
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Finished Simulation: 20,15
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Finished Simulation: 20,17
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Finished Simulation: 20,22
Finished Simulation: 20,23
Finished Simulation: 20,24
Finished Simulation: 20,25
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Finished Simulation: 21,1
Finished Simulation: 21,2
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Finished Simulation: 21,4
Finished Simulation: 21,5
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Finished Simulation: 21,9
Finished Simulation: 21,10
Finished Simulation: 21,11
Finished Simulation: 21,12
Finished Simulation: 21,13
Finished Simulation: 21,14
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Finished Simulation: 21,16
Finished Simulation: 21,17
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Finished Simulation: 21,21
Finished Simulation: 21,22
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Finished Simulation: 21,29
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Finished Simulation: 22,1
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Finished Simulation: 22,4
Finished Simulation: 22,5
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Finished Simulation: 23,4
Finished Simulation: 23,5
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Finished Simulation: 23,17
Finished Simulation: 23,18
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Finished Simulation: 23,20
Finished Simulation: 23,21
Finished Simulation: 23,22
Finished Simulation: 23,23
Finished Simulation: 23,24
Finished Simulation: 23,25
Finished Simulation: 23,26
Finished Simulation: 23,27
Finished Simulation: 23,28
Finished Simulation: 23,29
Finished Simulation: 24,0
Finished Simulation: 24,1
Finished Simulation: 24,2
Finished Simulation: 24,3
Finished Simulation: 24,4
Finished Simulation: 24,5
Finished Simulation: 24,6
Finished Simulation: 24,7
Finished Simulation: 24,8
Finished Simulation: 24,9
Finished Simulation: 24,10
Finished Simulation: 24,11
Finished Simulation: 24,12
Finished Simulation: 24,13
Finished Simulation: 24,14
Finished Simulation: 24,15
Finished Simulation: 24,16
Finished Simulation: 24,17
Finished Simulation: 24,18
Finished Simulation: 24,19
Finished Simulation: 24,20
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Finished Simulation: 24,23
Finished Simulation: 24,24
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Finished Simulation: 24,27
Finished Simulation: 24,28
Finished Simulation: 24,29
Finished Simulation: 25,0
Finished Simulation: 25,1
Finished Simulation: 25,2
Finished Simulation: 25,3
Finished Simulation: 25,4
Finished Simulation: 25,5
Finished Simulation: 25,6
Finished Simulation: 25,7
Finished Simulation: 25,8
Finished Simulation: 25,9
Finished Simulation: 25,10
Finished Simulation: 25,11
Finished Simulation: 25,12
Finished Simulation: 25,13
Finished Simulation: 25,14
Finished Simulation: 25,15
Finished Simulation: 25,16
Finished Simulation: 25,17
Finished Simulation: 25,18
Finished Simulation: 25,19
Finished Simulation: 25,20
Finished Simulation: 25,21
Finished Simulation: 25,22
Finished Simulation: 25,23
Finished Simulation: 25,24
Finished Simulation: 25,25
Finished Simulation: 25,26
Finished Simulation: 25,27
Finished Simulation: 25,28
Finished Simulation: 25,29
Finished Simulation: 26,0
Finished Simulation: 26,1
Finished Simulation: 26,2
Finished Simulation: 26,3
Finished Simulation: 26,4
Finished Simulation: 26,5
Finished Simulation: 26,6
Finished Simulation: 26,7
Finished Simulation: 26,8
Finished Simulation: 26,9
Finished Simulation: 26,10
Finished Simulation: 26,11
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Finished Simulation: 26,15
Finished Simulation: 26,16
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Finished Simulation: 26,25
Finished Simulation: 26,26
Finished Simulation: 26,27
Finished Simulation: 26,28
Finished Simulation: 26,29
Finished Simulation: 27,0
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Finished Simulation: 27,2
Finished Simulation: 27,3
Finished Simulation: 27,4
Finished Simulation: 27,5
Finished Simulation: 27,6
Finished Simulation: 27,7
Finished Simulation: 27,8
Finished Simulation: 27,9
Finished Simulation: 27,10
Finished Simulation: 27,11
Finished Simulation: 27,12
Finished Simulation: 27,13
Finished Simulation: 27,14
Finished Simulation: 27,15
Finished Simulation: 27,16
Finished Simulation: 27,17
Finished Simulation: 27,18
Finished Simulation: 27,19
Finished Simulation: 27,20
Finished Simulation: 27,21
Finished Simulation: 27,22
Finished Simulation: 27,23
Finished Simulation: 27,24
Finished Simulation: 27,25
Finished Simulation: 27,26
Finished Simulation: 27,27
Finished Simulation: 27,28
Finished Simulation: 27,29
Finished Simulation: 28,0
Finished Simulation: 28,1
Finished Simulation: 28,2
Finished Simulation: 28,3
Finished Simulation: 28,4
Finished Simulation: 28,5
Finished Simulation: 28,6
Finished Simulation: 28,7
Finished Simulation: 28,8
Finished Simulation: 28,9
Finished Simulation: 28,10
Finished Simulation: 28,11
Finished Simulation: 28,12
Finished Simulation: 28,13
Finished Simulation: 28,14
Finished Simulation: 28,15
Finished Simulation: 28,16
Finished Simulation: 28,17
Finished Simulation: 28,18
Finished Simulation: 28,19
Finished Simulation: 28,20
Finished Simulation: 28,21
Finished Simulation: 28,22
Finished Simulation: 28,23
Finished Simulation: 28,24
Finished Simulation: 28,25
Finished Simulation: 28,26
Finished Simulation: 28,27
Finished Simulation: 28,28
Finished Simulation: 28,29
Finished Simulation: 29,0
Finished Simulation: 29,1
Finished Simulation: 29,2
Finished Simulation: 29,3
Finished Simulation: 29,4
Finished Simulation: 29,5
Finished Simulation: 29,6
Finished Simulation: 29,7
Finished Simulation: 29,8
Finished Simulation: 29,9
Finished Simulation: 29,10
Finished Simulation: 29,11
Finished Simulation: 29,12
Finished Simulation: 29,13
Finished Simulation: 29,14
Finished Simulation: 29,15
Finished Simulation: 29,16
Finished Simulation: 29,17
Finished Simulation: 29,18
Finished Simulation: 29,19
Finished Simulation: 29,20
Finished Simulation: 29,21
Finished Simulation: 29,22
Finished Simulation: 29,23
Finished Simulation: 29,24
Finished Simulation: 29,25
Finished Simulation: 29,26
Finished Simulation: 29,27
Finished Simulation: 29,28
Finished Simulation: 29,29










    
Out[48]:








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          999875.8 ,   999891.  ,   999850.35,   999654.15,   999710.95,
          999677.5 ,   999645.9 ,   999635.75,   999796.95,   999714.35,
          999769.1 ,   999854.3 ,   999805.5 ,   999752.05,   999780.95],
       [ 1000127.4 ,  1000072.5 ,  1000096.15,  1000112.2 ,  1000394.  ,
         1000363.35,  1000380.3 ,  1000483.25,  1000267.75,  1000126.9 ,
         1000215.3 ,  1000138.9 ,   999937.2 ,   999957.9 ,   999863.  ,
          999905.25,   999823.3 ,   999665.9 ,   999680.25,   999665.8 ,
          999644.9 ,   999644.6 ,   999754.6 ,   999654.7 ,   999798.7 ,
          999827.25,   999828.4 ,   999779.75,   999799.55,  1000002.  ],
       [  999986.1 ,  1000079.15,  1000001.6 ,  1000277.35,  1000372.7 ,
         1000467.5 ,  1000524.5 ,  1000398.  ,  1000027.15,  1000269.95,
         1000190.15,   999902.95,   999904.7 ,   999873.65,   999884.55,
          999830.15,   999641.  ,   999670.05,   999634.05,   999646.1 ,
          999608.7 ,   999737.15,   999649.9 ,   999669.1 ,   999781.35,
          999794.7 ,   999818.8 ,   999859.4 ,   999975.1 ,   999968.65],
       [ 1000157.05,   999993.3 ,  1000081.7 ,  1000455.75,  1000439.1 ,
         1000577.3 ,  1000469.2 ,  1000354.65,  1000120.35,  1000177.75,
         1000089.45,   999829.5 ,   999894.35,   999919.9 ,   999644.5 ,
          999635.4 ,   999639.75,   999605.1 ,   999637.05,   999621.45,
          999630.8 ,   999776.55,   999670.6 ,   999725.4 ,   999786.8 ,
          999788.5 ,   999818.4 ,  1000014.  ,  1000018.8 ,   999838.9 ],
       [ 1000035.55,  1000084.15,  1000477.55,  1000625.65,  1000549.45,
         1000359.85,  1000418.65,  1000150.7 ,  1000220.3 ,  1000279.9 ,
          999977.  ,   999968.4 ,   999926.7 ,   999745.15,   999668.35,
          999667.95,   999652.95,   999668.85,   999688.55,   999680.85,
          999854.7 ,   999837.1 ,   999778.45,   999850.7 ,   999854.3 ,
          999919.55,  1000000.75,  1000039.45,   999872.25,   999642.2 ],
       [ 1000191.45,  1000476.5 ,  1000654.2 ,  1000547.75,  1000445.6 ,
         1000411.55,  1000332.75,  1000236.3 ,  1000121.3 ,  1000160.85,
          999919.8 ,   999741.05,   999729.7 ,   999731.3 ,   999716.95,
          999647.75,   999730.3 ,   999741.  ,   999686.6 ,   999830.65,
          999856.45,   999704.85,   999861.  ,   999854.  ,   999862.2 ,
          999844.9 ,   999845.2 ,   999666.4 ,   999833.45,   999831.85],
       [ 1000397.65,  1000415.45,  1000539.2 ,  1000344.25,  1000442.3 ,
         1000296.1 ,  1000229.85,  1000094.55,  1000081.85,   999796.95,
          999728.45,   999753.25,   999734.25,   999709.75,   999690.1 ,
          999726.1 ,   999723.15,   999725.85,   999727.7 ,   999841.7 ,
          999683.1 ,   999758.45,   999850.1 ,   999808.6 ,   999608.55,
          999892.9 ,   999662.85,   999662.1 ,   999826.5 ,   999823.85],
       [ 1000359.2 ,  1000415.1 ,  1000338.  ,  1000370.6 ,  1000260.  ,
         1000214.6 ,   999855.55,   999849.35,   999768.1 ,   999800.4 ,
          999744.7 ,   999724.35,   999682.95,   999666.2 ,   999699.1 ,
          999656.7 ,   999711.7 ,   999678.2 ,   999681.15,   999938.35,
          999767.5 ,   999805.95,   999576.  ,   999543.65,   999670.1 ,
          999543.65,   999584.5 ,   999668.7 ,   999760.1 ,   999775.15],
       [ 1000468.25,  1000312.3 ,  1000303.  ,  1000302.15,  1000163.45,
         1000075.95,   999776.2 ,   999953.75,   999800.45,   999788.05,
          999705.5 ,   999654.8 ,   999710.4 ,   999693.9 ,   999686.65,
          999682.9 ,   999739.75,   999630.25,   999728.  ,   999558.6 ,
          999603.6 ,   999544.25,   999470.35,   999504.45,   999668.6 ,
          999690.95,   999694.35,   999772.45,   999839.15,   999994.85],
       [ 1000535.45,  1000398.75,  1000423.05,  1000265.9 ,  1000034.7 ,
          999703.55,   999825.9 ,   999971.7 ,   999735.1 ,   999715.25,
          999683.35,   999729.45,   999714.35,   999674.5 ,   999638.85,
          999558.3 ,   999603.45,   999727.15,   999550.95,   999562.15,
          999542.35,   999500.55,   999487.05,   999717.5 ,   999642.8 ,
          999587.3 ,   999781.25,   999840.35,  1000001.2 ,   999839.1 ],
       [ 1000333.45,  1000331.1 ,  1000228.2 ,  1000104.7 ,   999671.9 ,
          999759.05,   999981.55,   999769.5 ,   999752.1 ,   999690.15,
          999722.4 ,   999736.5 ,   999665.2 ,   999447.05,   999631.35,
          999625.95,   999714.1 ,   999730.85,   999539.8 ,   999522.1 ,
          999530.95,   999502.9 ,   999725.3 ,   999597.15,   999627.85,
          999739.25,   999853.95,  1000032.15,   999866.75,  1000055.9 ],
       [ 1000219.55,  1000097.4 ,  1000162.35,   999625.9 ,   999718.8 ,
          999975.8 ,   999803.5 ,   999769.95,   999744.4 ,   999758.75,
          999695.25,   999649.75,   999477.85,   999652.4 ,   999552.85,
          999774.95,   999734.95,   999506.3 ,   999530.15,   999538.65,
          999548.  ,   999720.05,   999620.2 ,   999749.5 ,   999582.2 ,
          999842.8 ,  1000014.65,   999871.15,  1000226.2 ,  1000067.8 ],
       [ 1000029.55,  1000179.8 ,   999632.4 ,   999701.55,   999996.85,
          999797.45,   999768.75,   999737.4 ,   999751.45,   999687.35,
          999680.  ,   999503.75,   999634.85,   999554.2 ,   999597.4 ,
          999755.1 ,   999488.75,   999541.4 ,   999533.6 ,   999599.55,
          999594.55,   999774.55,   999587.15,   999572.5 ,   999663.15,
         1000016.8 ,   999857.6 ,  1000076.1 ,  1000051.9 ,  1000042.85],
       [ 1000110.75,   999609.05,   999766.7 ,   999927.6 ,   999810.55,
          999716.45,   999731.4 ,   999772.9 ,   999744.45,   999690.7 ,
          999546.4 ,   999664.55,   999670.2 ,   999576.8 ,   999757.1 ,
          999562.9 ,   999523.05,   999555.75,   999567.3 ,   999557.55,
          999770.7 ,   999429.4 ,   999588.6 ,   999692.95,   999837.9 ,
         1000234.65,  1000218.3 ,  1000044.85,  1000048.85,   999917.3 ],
       [  999831.7 ,   999587.85,   999815.45,  1000043.9 ,   999727.5 ,
          999745.3 ,   999819.95,   999767.7 ,   999731.6 ,   999771.65,
          999716.05,   999678.35,   999631.65,   999712.7 ,   999570.1 ,
          999596.25,   999586.7 ,   999541.6 ,   999402.3 ,   999426.65,
          999453.85,   999581.25,   999571.6 ,   999771.7 ,  1000226.6 ,
         1000193.1 ,  1000064.3 ,  1000046.35,   999909.55,   999918.75],
       [  999691.45,   999630.6 ,   999774.  ,   999828.05,   999842.35,
          999827.55,   999796.25,   999755.1 ,   999796.25,   999701.85,
          999686.35,   999637.5 ,   999798.55,   999575.8 ,   999624.7 ,
          999485.  ,   999539.9 ,   999373.95,   999424.35,   999603.75,
          999606.85,   999832.35,   999981.4 ,  1000231.35,  1000238.2 ,
         1000073.1 ,  1000048.45,   999912.4 ,   999746.3 ,   999771.45],
       [  999652.2 ,   999860.5 ,   999799.3 ,   999837.85,   999775.75,
          999833.15,   999908.9 ,   999854.05,   999755.1 ,   999692.45,
          999676.1 ,   999890.25,   999723.3 ,   999519.7 ,   999429.25,
          999353.25,   999383.  ,   999646.45,   999695.9 ,   999739.8 ,
          999879.7 ,  1000201.  ,  1000259.85,  1000273.85,  1000268.4 ,
          999969.7 ,  1000098.3 ,   999773.3 ,   999987.05,   999991.5 ]])

















In [49]:



    


X = np.arange(0, 30)
Y = np.arange(0, 30)
X, Y = np.meshgrid(X, Y) 
fig = plt.figure(figsize=(10,10))
ax = fig.gca(projection='3d')
surf = ax.plot_surface(X, Y, Z, rstride=1, cstride=1, cmap='hot', linewidth=0, antialiased=False)



    


















    
























In [37]:



    


X = np.arange(0, 20)
len(X)



    


















    
Out[37]:








20

















In [50]:



    


import scipy.io
scipy.io.savemat('Z2.mat', mdict={'Z': Z})



    











In [ ]:

Content source: zedyang/OANDA-Forex

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