Esempio n. 1
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def TrendFollower(ctx):

    V = 1
    alpha = 0.015
    ctx.volumeStep = 30

    linear_signal = math.RandomWalk(initialValue=200,
                                    deltaDistr=const(-1),
                                    name="200-t")

    demo = ctx.addGraph('demo')
    myVolume = lambda: [(orderbook.OfTrader().MidPrice, demo),
                        (trader.Position(), demo),
                        (orderbook.OfTrader().MidPrice.EW().Avg.OnEveryDt(1),
                         demo)]

    return [
        ctx.makeTrader_A(strategy.price.LiquidityProvider().Strategy(
            orderFactory=order.side_price.Limit(
                volume=constant(V * 8)).sideprice_WithExpiry(constant(100))),
                         label="liquidity"),
        ctx.makeTrader_A(
            strategy.side.Signal(linear_signal).Strategy(
                event.Every(constant(1.)), order.side.Market(const(V * 3))),
            "signal", [(linear_signal, ctx.amount_graph)]),
        ctx.makeTrader_A(
            strategy.side.TrendFollower(alpha).Strategy(
                event.Every(constant(1.)), order.side.Market(volume=const(V))),
            "trendfollower_ex", myVolume()),
    ]
def MeanReversion(ctx):

    ctx.volumeStep = 40

    alpha = 0.015
    V = 1
    linear_signal = math.RandomWalk(initialValue=200,
                                    deltaDistr=constant(-1),
                                    name="200-t")

    demo = ctx.addGraph('demo')
    myVolume = lambda: [(trader.Position(), demo)]

    return [
        ctx.makeTrader_A(strategy.LiquidityProvider(
            orderFactory=order.side_price.WithExpiry(
                constant(10), order.side_price.Limit(volume=constant(V *
                                                                     20)))),
                         label="liquidity"),
        ctx.makeTrader_A(
            strategy.Signal(event.Every(constant(1.)),
                            order.side.Market(volume=constant(V * 3)),
                            linear_signal), "signal",
            [(linear_signal, ctx.amount_graph)]),
        ctx.makeTrader_A(
            strategy.MeanReversion(event.Every(constant(1.)),
                                   order.side.Market(volume=constant(V)),
                                   alpha), "meanreversion_ex", myVolume()),
    ]
Esempio n. 3
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def MeanReversion(ctx):

    ctx.volumeStep = 40

    alpha = 0.015
    V = 1
    linear_signal = math.RandomWalk(initialValue=200,
                                    deltaDistr=constant(-1),
                                    name="200-t")

    demo = ctx.addGraph('demo')
    myVolume = lambda: [(trader.Position() / 3, demo),
                        (orderbook.OfTrader().MidPrice.EW(alpha).Avg.OnEveryDt(
                            1), demo),
                        (orderbook.OfTrader().Asks.BestPrice, demo),
                        (orderbook.OfTrader().Bids.BestPrice, demo)]

    return [
        ctx.makeTrader_A(strategy.price.LiquidityProvider(
            initialValue=30.).Strategy(orderFactory=order.side_price.Limit(
                volume=constant(V * 20)).sideprice_WithExpiry(constant(10))),
                         label="liquidity"),
        ctx.makeTrader_A(
            strategy.side.Noise().Strategy(
                event.Every(constant(1.)),
                order.side.Market(volume=constant(V * 3))), "signal",
            [(linear_signal, ctx.amount_graph)]),
        ctx.makeTrader_A(
            strategy.side.MeanReversion(alpha).Strategy(
                event.Every(constant(1.)),
                order.side.Market(volume=constant(V))), "meanreversion_ex",
            myVolume()),
    ]
def TwoAverages(ctx):

    ctx.volumeStep = 30

    alpha_slow = 0.015
    alpha_fast = 0.15

    linear_signal = math.RandomWalk(initialValue=200,
                                    deltaDistr=const(-1),
                                    name="200-t")

    demo = ctx.addGraph('demo')
    myVolume = lambda: [(trader.Position(), demo)]

    return [
        ctx.makeTrader_A(
            strategy.LiquidityProvider(
                event.Every(constant(1.)),
                order.side_price.Limit(volume=const(10))), "liquidity"),
        ctx.makeTrader_A(
            strategy.Signal(event.Every(constant(1.)),
                            order.side.Market(volume=const(3)), linear_signal),
            "signal", [(linear_signal, ctx.amount_graph)]),
        ctx.makeTrader_A(
            strategy.CrossingAverages(event.Every(constant(1.)),
                                      order.side.Market(volume=const(1.)),
                                      alpha_slow, alpha_fast), 'avg_ex+',
            myVolume()),
        ctx.makeTrader_A(
            strategy.CrossingAverages(event.Every(constant(1.)),
                                      order.side.Market(volume=const(1.)),
                                      alpha_fast, alpha_slow), 'avg_ex-',
            myVolume()),
    ]
Esempio n. 5
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    def __init__(self):
        Strategy.__init__(self)
        from marketsim._pub import trader, orderbook
        self._balance = trader.Balance()
        self._position = trader.Position()
        self._pendingVolume = trader.PendingVolume()
        self._internalSuspended = False

        event.subscribe(self.inner.on_order_created, _(self)._send, self)
        event.subscribe(self.predicate, _(self)._wakeUp, self)
Esempio n. 6
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def TradeIfProfitable(ctx):

    ctx.volumeStep = 30

    slow_alpha = 0.015
    fast_alpha = 0.15

    linear_signal = math.RandomWalk(initialValue=200,
                                    deltaDistr=constant(-1),
                                    name="200-t")

    demo = ctx.addGraph('demo')
    myVolume = lambda: [(trader.Position(), demo)]
    myAverage = lambda alpha: [(orderbook.OfTrader().MidPrice.EW_Avg(alpha).
                                OnEveryDt(1), demo)]

    def cross(alpha1, alpha2):
        return strategy.CrossingAverages(
            event.Every(constant(1.)), order.side.Market(volume=constant(1.)),
            alpha1, alpha2)

    avg_plus_virt = strategy.TradeIfProfitable(
        cross(slow_alpha, fast_alpha), strategy.account.virtualMarket())
    avg_minus_virt = strategy.TradeIfProfitable(
        cross(fast_alpha, slow_alpha), strategy.account.virtualMarket())

    avg_plus_real = strategy.TradeIfProfitable(cross(slow_alpha, fast_alpha),
                                               strategy.account.real())
    avg_minus_real = strategy.TradeIfProfitable(cross(fast_alpha, slow_alpha),
                                                strategy.account.real())

    return [
        ctx.makeTrader_A(
            strategy.LiquidityProvider(orderFactory=order.side_price.Limit(
                volume=constant(45))), "liquidity"),
        ctx.makeTrader_A(
            strategy.Signal(event.Every(constant(1.)),
                            order.side.Market(volume=constant(20)),
                            linear_signal), "signal",
            [(linear_signal, ctx.amount_graph)]),
        ctx.makeTrader_A(
            cross(slow_alpha, fast_alpha), 'avg+',
            myAverage(slow_alpha) + myAverage(fast_alpha) + myVolume()),
        ctx.makeTrader_A(cross(fast_alpha, slow_alpha), 'avg-', myVolume()),
        ctx.makeTrader_A(avg_plus_virt, 'avg+ virt', myVolume()),
        ctx.makeTrader_A(avg_minus_virt, 'avg- virt', myVolume()),
        ctx.makeTrader_A(avg_plus_real, 'avg+ real', myVolume()),
        ctx.makeTrader_A(avg_minus_real, 'avg- real', myVolume()),
    ]
def ChooseTheBest(ctx):

    ctx.volumeStep = 30

    slow_alpha = 0.015
    fast_alpha = 0.15

    linear_signal = math.RandomWalk(initialValue=200,
                                    deltaDistr=constant(-1),
                                    name="200-t")

    demo = ctx.addGraph('demo')
    myVolume = lambda: [(trader.Position(), demo)]
    myAverage = lambda alpha: [(orderbook.OfTrader().MidPrice.EW(alpha).Avg.
                                OnEveryDt(1), demo)]

    def cross(alpha1, alpha2):
        return strategy.side.CrossingAverages(alpha1, alpha2)\
                            .Strategy(event.Every(constant(1.)),
                                      order.side.Market(volume = constant(1.)))

    def strategies():
        return [cross(slow_alpha, fast_alpha), cross(fast_alpha, slow_alpha)]

    return [
        ctx.makeTrader_A(
            strategy.price.LiquidityProvider().Strategy(
                orderFactory=order.side_price.Limit(volume=constant(45))),
            "liquidity"),
        ctx.makeTrader_A(
            strategy.side.Signal(linear_signal).Strategy(
                event.Every(constant(1.)),
                order.side.Market(volume=constant(20))), "signal",
            [(linear_signal, ctx.amount_graph)]),
        ctx.makeTrader_A(
            cross(slow_alpha, fast_alpha), 'avg+',
            myAverage(slow_alpha) + myAverage(fast_alpha) + myVolume()),
        ctx.makeTrader_A(cross(fast_alpha, slow_alpha), 'avg-', myVolume()),
        ctx.makeTrader_A(
            strategy.ChooseTheBest(strategies(),
                                   strategy.account.virtualMarket()),
            'best virt', myVolume()),
        ctx.makeTrader_A(
            strategy.ChooseTheBest(strategies(), strategy.account.real()),
            'best real', myVolume()),
    ]
Esempio n. 8
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def Dependency(ctx):

    V = 1
    alpha = 0.015
    ctx.volumeStep = 30
    const = constant

    linear_signal = math.RandomWalk(initialValue=200,
                                      deltaDistr=const(-1),
                                      name="200-t")

    demo = ctx.addGraph('demo')
    myVolume = lambda: [(orderbook.OfTrader().MidPrice, demo),
                        (trader.Position(), demo),
                        (orderbook.OfTrader().MidPrice.EW().Avg.OnEveryDt(1), demo)]

    return [
            ctx.makeTrader_A(
                strategy.price.LiquidityProvider(100.)
                              .Strategy(orderFactory =
                                            order.side_price.Limit(volume=constant(V*8)).sideprice_WithExpiry(constant(100))),
                             label="liquidity"),

            ctx.makeTrader_B(
                strategy.price.LiquidityProvider(200.)
                              .Strategy(orderFactory =
                                            order.side_price.Limit(volume=constant(V*8)).sideprice_WithExpiry(constant(100))),
                             label="liquidity B"),

            ctx.makeTrader_A(strategy.side.Signal(linear_signal)
                                          .Strategy(event.Every(constant(1.)),
                                                    order.side.Market(const(V*3))),
                            "signal",
                            [
                             (linear_signal, ctx.amount_graph),
                            ]),

            ctx.makeTrader_B(
                strategy.side.PairTrading(
                    ctx.book_A,
                    factor=2.
                ).Strategy(event.Every(constant(1.)),
                           order.side.Market(const(V*5))),
                "B dependent on A ex"),
    ]
Esempio n. 9
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def RSI(ctx):

    const = constant
    linear_signal = math.RandomWalk(initialValue=20,
                                    deltaDistr=const(-.1),
                                    name="20-0.1t")

    one = const(1)

    threshold = 30

    demo = ctx.addGraph('demo')
    myVolume = lambda: [(trader.Position(), demo)]

    alpha = 1. / 14

    myRsiBis = lambda: [(orderbook.OfTrader().RSI(1, alpha).OnEveryDt(1), demo)
                        ]

    return [
        ctx.makeTrader_A(
            strategy.LiquidityProvider(
                event.Every(constant(1.)),
                order.side_price.Limit(volume=const(4))), "liquidity"),
        ctx.makeTrader_A(
            strategy.Signal(event.Every(constant(1.)), order.side.Market(),
                            linear_signal), "signal",
            [(linear_signal, ctx.amount_graph)]),
        ctx.makeTrader_A(
            strategy.RSI_linear(order.signedVolume.MarketSigned(),
                                alpha=alpha,
                                timeframe=1), "rsi_linear", myVolume()),
        ctx.makeTrader_A(
            strategy.RSIbis(event.Every(constant(1.)),
                            order.side.Market(one),
                            alpha=alpha,
                            timeframe=1,
                            threshold=threshold), "rsi_bis",
            myVolume() + myRsiBis()),
    ]
Esempio n. 10
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def FundamentalValue(ctx):

    ctx.volumeStep = 30
    fv = 200

    demo = ctx.addGraph('demo')
    myVolume = lambda: [(trader.Position(), demo),
                        (const(200.).OnEveryDt(100), demo),
                        (orderbook.OfTrader().Asks.BestPrice, demo),
                        (orderbook.OfTrader().Bids.BestPrice, demo)]

    return [
        ctx.makeTrader_A(
            strategy.price.LiquidityProvider().Strategy(
                orderFactory=order.side_price.Limit(
                    volume=const(6.)).sideprice_WithExpiry(const(100.))),
            "liquidity"),
        ctx.makeTrader_A(
            strategy.side.FundamentalValue(const(fv)).Strategy(
                event.Every(const(1.)), order.side.Market(volume=const(1.))),
            "fv_200", myVolume()),
    ]
Esempio n. 11
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def FundamentalValue(ctx):
    
    ctx.volumeStep = 30
    fv = 200

    demo = ctx.addGraph('demo')
    myVolume = lambda: [(trader.Position(), demo)]
    myPrice = lambda: [(orderbook.MidPrice(), demo)]

    return [
        ctx.makeTrader_A( 
            strategy.LiquidityProvider(
                        orderFactory = order.side_price.WithExpiry(const(10),
                            order.side_price.Limit(volume=const(6)))),
            "liquidity"),
    
        ctx.makeTrader_A(
             strategy.FundamentalValue(
                event.Every(const(1.)),
                order.side.Market(volume = const(1.)),
                const(fv)),
            "fv_200",
            myVolume()),
    ]
def MultiarmedBandit(ctx):

    ctx.volumeStep = 30

    demo = ctx.addGraph('demo')
    myVolume = lambda: [(trader.Position(), demo)]

    def fv(x):
        return strategy.FundamentalValue(
            event.Every(constant(1.)),
            order.side.Market(volume=constant(1.)),
            fundamentalValue=const(x))

    xs = range(100, 300, 50) + range(160, 190, 10)

    def strategies():
        return map(fv, xs)

    def fv_traders():
        return [ctx.makeTrader_A(fv(x), "fv" + str(x), myVolume()) for x in xs]

    return [
        ctx.makeTrader_A(
            strategy.LiquidityProvider(orderFactory=order.side_price.Limit(
                volume=constant(45))), "liquidity"),
        ctx.makeTrader_A(
            strategy.FundamentalValue(event.Every(constant(1.)),
                                      order.side.Market(volume=constant(12.)),
                                      fundamentalValue=const(200)),
            'fv 12-200'),
        ctx.makeTrader_A(
            strategy.MultiArmedBandit(
                strategies(), strategy.account.virtualMarket(),
                strategy.weight.efficiencyTrend()), 'virt trend', myVolume()),
        ctx.makeTrader_A(
            strategy.MultiArmedBandit(strategies(), strategy.account.real(),
                                      strategy.weight.efficiencyTrend()),
            'real trend', myVolume()),
        ctx.makeTrader_A(
            strategy.MultiArmedBandit(
                strategies(), strategy.account.virtualMarket(),
                strategy.weight.efficiency()), 'virt efficiency', myVolume()),
        ctx.makeTrader_A(
            strategy.MultiArmedBandit(strategies(), strategy.account.real(),
                                      strategy.weight.efficiency()),
            'real efficiency', myVolume()),
        ctx.makeTrader_A(
            strategy.MultiArmedBandit(
                strategies(), strategy.account.virtualMarket(),
                strategy.weight.score(), strategy.weight.atanPow()),
            'virt score', myVolume()),
        ctx.makeTrader_A(
            strategy.MultiArmedBandit(
                strategies(), strategy.account.real(), strategy.weight.score(),
                strategy.weight.clamp0()), 'real score', myVolume()),
        ctx.makeTrader_A(
            strategy.MultiArmedBandit(
                strategies(), strategy.account.virtualMarket(),
                strategy.weight.efficiencyTrend(), strategy.weight.identityF(),
                strategy.weight.chooseTheBest()), 'virt best', myVolume()),
        ctx.makeTrader_A(
            strategy.MultiArmedBandit(
                strategies(), strategy.account.real(), strategy.weight.unit(),
                strategy.weight.identityF()), 'uniform', myVolume()),
    ] + fv_traders()