def Ladder(ctx):
const = constant
linear_signal = math.RandomWalk(initialValue=10,
deltaDistr=const(-.1),
name="20-0.1t")
return [
ctx.makeTrader_A(
strategy.price.LiquidityProvider().Strategy(
orderFactory=order.side_price.Limit(
volume=const(10.)).sideprice_WithExpiry(const(50.))),
"liquidity"),
ctx.makeTrader_A(
order.side_price.Limit(volume=const(1.))
# .sideprice_Iceberg(lotSize=const(1))
.LadderMM(initialSize=10).LadderBalancer(maximalSize=10).StopLoss(
lossFactor=constant(0.03)).Suspend(CurrentTime() < 30).Suspend(
(300 < CurrentTime()).And(CurrentTime() < 350)),
"ladder mm"),
ctx.makeTrader_A(
strategy.side.Signal(linear_signal).Strategy(
event.Every(constant(1.)), order.side.Market(const(4))),
"signal"),
]
def run(name, constructor, only_veusz):
with scheduler.create() as world:
ctx = Context(world, veusz.Graph)
traders = constructor(ctx)
if config.useMinorTraders:
traders.extend([
ctx.makeMinorTrader(strategy.RSI_linear(k=const(0.07)),
"RSI 0.07"),
ctx.makeMinorTrader(strategy.RSI_linear(k=const(-0.07)),
"RSI -0.07"),
ctx.makeMinorTrader(
strategy.Bollinger_linear(alpha=0.15, k=const(-0.5)),
"Bollinger -0.5"),
ctx.makeMinorTrader(
strategy.Bollinger_linear(alpha=0.15, k=const(+0.5)),
"Bollinger +0.5"),
])
books = orderBooksToRender(ctx, traders)
for t in traders + books:
for ts in t.timeseries:
ts.graph.addTimeSerie(ts)
r = registry.create()
root = registry.Simulation(traders, list(ctx.books.itervalues()),
ctx.graphs)
r.insert(root)
r.pushAllReferences()
context.bind(root, {'world': world})
def checks():
if not only_veusz and config.checkConsistency:
r.typecheck()
try:
dumped = pickle.dumps(r)
pickle.loads(dumped)
except Exception, err:
print err
checks()
stat = world.workTill(500)
checks()
if config.showTiming:
print "\n", stat
non_empty_graphs = [g for g in ctx.graphs if len(g._datas)]
veusz.render(name, non_empty_graphs)
world._reset()
context.reset(root)
if False and config.runTwoTimes:
world.workTill(500)
veusz.render(name, non_empty_graphs)
def __init__(self, world, graph_renderer):
self.world = world
self.book_A = orderbook.Local(tickSize=0.01, name="A")
self.book_B = orderbook.Local(tickSize=0.01, name="B")
self.book_C = orderbook.Local(tickSize=0.01, name="C")
if config.showTiming:
self.world.process(const(10), bind.Function(_print, '.'))
self.world.process(const(100), bind.Function(_print, '\n'))
delay = constant(1.07)
self.link_A = orderbook.TwoWayLink(orderbook.Link(delay), orderbook.Link(delay))
self.link_B = orderbook.TwoWayLink(orderbook.Link(delay), orderbook.Link(delay))
self.link_C = orderbook.TwoWayLink(orderbook.Link(delay), orderbook.Link(delay))
self.remote_A = orderbook.Remote(self.book_A, self.link_A)
self.remote_B = orderbook.Remote(self.book_B, self.link_B)
self.remote_C = orderbook.Remote(self.book_C, self.link_C)
self.graph = graph_renderer
self.price_graph = self.graph("Price")
self.askbid_graph = self.graph("AskBid")
self.candles_graph = self.graph("Candles")
self.avgs_graph = self.graph("Averages")
self.macd_graph = self.graph("MACD")
self.eff_graph = self.graph("efficiency")
self.amount_graph = self.graph("amount")
self.balance_graph = self.graph('balance')
self.bollinger_a015_graph = self.graph('bollinger alpha 0.15')
self.bollinger_20_graph = self.graph('bollinger 20')
self.bollinger_100_graph = self.graph('bollinger 100')
self.minmax_graph = self.graph('minmax')
self.minors_eff_graph = self.graph('minor traders efficiency')
self.minors_amount_graph = self.graph('minor traders position')
self.graphs = [
self.price_graph,
self.askbid_graph,
self.candles_graph,
self.avgs_graph,
self.macd_graph,
self.eff_graph,
self.amount_graph,
self.balance_graph,
self.bollinger_20_graph,
self.bollinger_a015_graph,
self.bollinger_100_graph,
self.minmax_graph,
self.minors_eff_graph,
self.minors_amount_graph
]
self.books = { 'Asset A' : self.book_A ,
'Asset B' : self.book_B ,
'Remote A': self.remote_A,
'Remote B': self.remote_B }
def run(name, constructor, only_veusz):
with createScheduler() as world:
import time
t0 = time.clock()
ctx = Context(world, veusz.Graph)
print time.clock() - t0
traders = constructor(ctx)
print time.clock() - t0
if config.useMinorTraders:
traders.extend([
ctx.makeMinorTrader(strategy.position.RSI_linear(k = const(0.7)).Strategy(), "RSI 0.07"),
ctx.makeMinorTrader(strategy.position.RSI_linear(k = const(-0.7)).Strategy(), "RSI -0.07"),
ctx.makeMinorTrader(strategy.position.Bollinger_linear(alpha=0.15, k = const(-5.)).Strategy(), "Bollinger -0.5"),
ctx.makeMinorTrader(strategy.position.Bollinger_linear(alpha=0.15, k = const(+5.)).Strategy(), "Bollinger +0.5"),
])
books = orderBooksToRender(ctx, traders)
r = registry.create()
root = registry.Simulation(traders, list(ctx.books.itervalues()), ctx.graphs)
# r.insert(root)
print time.clock() - t0
root.registerIn(r)
# r.pushAllReferences()
print time.clock() - t0
root.bind_ex(context.BindingContextEx({'world' : world }))
def checks():
if not only_veusz and config.checkConsistency:
r.typecheck()
try:
dumped = pickle.dumps(r)
pickle.loads(dumped)
except Exception, err:
print err
print time.clock() - t0
checks()
stat = world.workTill(config.veuszRunLength)
checks()
if config.showTiming:
print "\n", stat
non_empty_graphs = [g for g in ctx.graphs if len(g._datas)]
veusz.render(name, non_empty_graphs)
world.reset_ex(0)
root.reset_ex(0)
if config.runTwoTimes:
world.workTill(config.veuszRunLength)
veusz.render(name, non_empty_graphs)
def __init__(self, world, graph_renderer):
self.world = world
self.book_A = orderbook.Local(tickSize=0.01, name="A")
self.book_B = orderbook.Local(tickSize=0.01, name="B")
self.book_C = orderbook.Local(tickSize=0.01, name="C")
if config.showTiming:
self.world.process(const(10), bind.Function(_print, '.'))
self.world.process(const(100), bind.Function(_print, '\n'))
delay = constant(1.07)
def link():
return delay.Link.TwoWayLink(delay.Link)
self.link_A = link()
self.link_B = link()
self.link_C = link()
self.remote_A = self.book_A.Remote(self.link_A)
self.remote_B = self.book_B.Remote(self.link_B)
self.remote_C = self.book_C.Remote(self.link_C)
self.graph = graph_renderer
self.price_graph = self.graph("Price")
self.askbid_graph = self.graph("AskBid")
self.candles_graph = self.graph("Candles")
self.avgs_graph = self.graph("Averages")
self.macd_graph = self.graph("MACD")
self.eff_graph = self.graph("efficiency")
self.amount_graph = self.graph("amount")
self.balance_graph = self.graph('balance')
self.bollinger_a015_graph = self.graph('bollinger alpha 0.15')
self.bollinger_20_graph = self.graph('bollinger 20')
self.bollinger_100_graph = self.graph('bollinger 100')
self.minmax_graph = self.graph('minmax')
self.minors_eff_graph = self.graph('minor traders efficiency')
self.minors_amount_graph = self.graph('minor traders position')
self.graphs = [
self.price_graph, self.askbid_graph, self.candles_graph,
self.avgs_graph, self.macd_graph, self.eff_graph,
self.amount_graph, self.balance_graph, self.bollinger_20_graph,
self.bollinger_a015_graph, self.bollinger_100_graph,
self.minmax_graph, self.minors_eff_graph, self.minors_amount_graph
]
self.books = {
'Asset A': self.book_A,
'Asset B': self.book_B,
'Remote A': self.remote_A,
'Remote B': self.remote_B
}
def run(name, constructor, only_veusz):
with scheduler.create() as world:
ctx = Context(world, veusz.Graph)
traders = constructor(ctx)
if config.useMinorTraders:
traders.extend([
ctx.makeMinorTrader(strategy.RSI_linear(k = const(0.07)), "RSI 0.07"),
ctx.makeMinorTrader(strategy.RSI_linear(k = const(-0.07)), "RSI -0.07"),
ctx.makeMinorTrader(strategy.Bollinger_linear(alpha=0.15, k = const(-0.5)), "Bollinger -0.5"),
ctx.makeMinorTrader(strategy.Bollinger_linear(alpha=0.15, k = const(+0.5)), "Bollinger +0.5"),
])
books = orderBooksToRender(ctx, traders)
for t in traders + books:
for ts in t.timeseries:
ts.graph.addTimeSerie(ts)
r = registry.create()
root = registry.Simulation(traders, list(ctx.books.itervalues()), ctx.graphs)
r.insert(root)
r.pushAllReferences()
context.bind(root, {'world' : world })
def checks():
if not only_veusz and config.checkConsistency:
r.typecheck()
try:
dumped = pickle.dumps(r)
pickle.loads(dumped)
except Exception, err:
print err
checks()
stat = world.workTill(500)
checks()
if config.showTiming:
print "\n", stat
non_empty_graphs = [g for g in ctx.graphs if len(g._datas)]
veusz.render(name, non_empty_graphs)
world._reset()
context.reset(root)
if False and config.runTwoTimes:
world.workTill(500)
veusz.render(name, non_empty_graphs)
def Canceller(ctx):
ctx.volumeStep = 15
return [
ctx.makeTrader_A(strategy.price.LiquidityProvider()
.Strategy(orderFactory=order.side_price.Limit(const(10))),
"LiquidityProviderEx-"),
ctx.makeTrader_A(strategy.Canceller(), "canceller"),
ctx.makeTrader_A(
strategy.side.FundamentalValue(fv=const(200)).Strategy(),
"fv_1000")
]
def Canceller(ctx):
ctx.volumeStep = 15
return [
ctx.makeTrader_A(strategy.LiquidityProvider(), "LiquidityProviderEx-"),
ctx.makeTrader_A(strategy.Canceller(), "canceller"),
ctx.makeTrader_A(
strategy.FundamentalValue(fundamentalValue=const(1000)), "fv_1000")
]
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()),
]
def Canceller(ctx):
ctx.volumeStep = 15
return [
ctx.makeTrader_A(strategy.LiquidityProvider(),
"LiquidityProviderEx-"),
ctx.makeTrader_A(strategy.Canceller(), "canceller"),
ctx.makeTrader_A( strategy.FundamentalValue(
fundamentalValue = const(1000)),
"fv_1000")
]
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 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()),
]
def run(name, constructor, only_veusz):
with createScheduler() as world:
import time
t0 = time.clock()
ctx = Context(world, veusz.Graph)
print time.clock() - t0
traders = constructor(ctx)
print time.clock() - t0
if config.useMinorTraders:
traders.extend([
ctx.makeMinorTrader(
strategy.position.RSI_linear(k=const(0.7)).Strategy(),
"RSI 0.07"),
ctx.makeMinorTrader(
strategy.position.RSI_linear(k=const(-0.7)).Strategy(),
"RSI -0.07"),
ctx.makeMinorTrader(
strategy.position.Bollinger_linear(
alpha=0.15, k=const(-5.)).Strategy(),
"Bollinger -0.5"),
ctx.makeMinorTrader(
strategy.position.Bollinger_linear(
alpha=0.15, k=const(+5.)).Strategy(),
"Bollinger +0.5"),
])
books = orderBooksToRender(ctx, traders)
r = registry.create()
root = registry.Simulation(traders, list(ctx.books.itervalues()),
ctx.graphs)
# r.insert(root)
print time.clock() - t0
root.registerIn(r)
# r.pushAllReferences()
print time.clock() - t0
root.bind_ex(context.BindingContextEx({'world': world}))
def checks():
if not only_veusz and config.checkConsistency:
r.typecheck()
try:
dumped = pickle.dumps(r)
pickle.loads(dumped)
except Exception, err:
print err
print time.clock() - t0
checks()
stat = world.workTill(config.veuszRunLength)
checks()
if config.showTiming:
print "\n", stat
non_empty_graphs = [g for g in ctx.graphs if len(g._datas)]
veusz.render(name, non_empty_graphs)
world.reset_ex(0)
root.reset_ex(0)
if config.runTwoTimes:
world.workTill(config.veuszRunLength)
veusz.render(name, non_empty_graphs)
def Complete(ctx):
ctx.volumeStep = 100
c_200 = const(200.)
fv_200_12 = strategy.side.FundamentalValue(c_200).Strategy(orderFactory=order.side.Market(volume=const(12)))
fv_200 = strategy.side.FundamentalValue(c_200).Strategy(orderFactory=order.side.Market(volume=const(1)))
def s_fv(fv):
return strategy.TradeIfProfitable(
strategy.side.FundamentalValue(const(fv)).Strategy(orderFactory=order.side.Market(volume=const(1))))
def fv_virtual(fv):
return ctx.makeTrader_A(s_fv(fv), "v" + str(fv))
return [
ctx.makeTrader_A(
strategy.price.LiquidityProvider()
.Strategy(orderFactory =
order.side_price.Limit(volume=constant(170))
.sideprice_WithExpiry(constant(10))),
"liquidity"),
ctx.makeTrader_A(fv_200_12, "t200"),
ctx.makeTrader_A(fv_200, "t200_1"),
ctx.makeTrader_A(strategy.side.FundamentalValue(const(150.))
.Strategy(event.Every(constant(1.)),
order.side.Market(const(1.))),
"t150"),
ctx.makeTrader_A(strategy.side.MeanReversion().Strategy(event.Every(constant(1.)),
order.side.Market(const(1.))),
"mr_0_15"),
ctx.makeTrader_A(strategy.side.CrossingAverages(alpha_1=0.15,
alpha_2=0.015)
.Strategy(event.Every(constant(1.)),
order.side.Market(const(1.))),
label="avg+"),
ctx.makeTrader_A(strategy.side.CrossingAverages(alpha_1=0.015,
alpha_2=0.15)
.Strategy(event.Every(constant(1.)),
order.side.Market(const(1.))),
label="avg-"),
ctx.makeTrader_A(strategy.TradeIfProfitable(fv_200),
"v_fv200"),
fv_virtual(160.),
fv_virtual(170.),
fv_virtual(180.),
fv_virtual(190.),
ctx.makeTrader_A(strategy.ChooseTheBest([
s_fv(160.),
s_fv(170.),
s_fv(180.),
s_fv(190.),
]),
"best")
]
def fv(x):
return strategy.FundamentalValue(
event.Every(constant(1.)),
order.side.Market(volume=constant(1.)),
fundamentalValue=const(x))
def Orders(ctx):
linear_signal = math.RandomWalk(initialValue=20,
deltaDistr=const(-.1),
name="20-0.1t")
midPrice = orderbook.MidPrice(ctx.book_A)
return [
ctx.makeTrader_A(
strategy.price.LiquidityProvider().Strategy(
event.Every(const(1.)),
order.side_price.Limit(volume=const(35))), "liquidity"),
ctx.makeTrader_A(
strategy.price.LiquidityProvider().Strategy(
event.Every(const(100.)),
order.side_price.Limit(volume=const(5)).sideprice_StopLoss(
const(0.1))), "liquidity stoploss"),
ctx.makeTrader_A(
strategy.price.LiquidityProvider().Strategy(
event.Every(const(10.)),
order.side_price.Limit(volume=const(5)).sideprice_Iceberg(
const(1))), "liquidity iceberg"),
ctx.makeTrader_A(
strategy.price.LiquidityProvider().Strategy(
event.Every(const(10.)),
order.side_price.Limit(volume=const(5)).sideprice_WithExpiry(
const(5))), "liquidity expiry"),
ctx.makeTrader_A(
strategy.price.LiquidityProvider().Strategy(
event.Every(const(10.)),
order.side_price.Limit(volume=const(15)).sideprice_Iceberg(
const(1)).sideprice_WithExpiry(const(5))),
"liquidity iceberg expiry"),
ctx.makeTrader_A(
strategy.side.Signal(linear_signal).Strategy(
event.Every(const(1.)), order.side.Market(volume=const(1))),
"signal market"),
ctx.makeTrader_A(
strategy.side.Signal(linear_signal).Strategy(
event.Every(const(1.)),
order.side.price.Limit(const(1)).side_FloatingPrice(
const(100))), "signal floating"),
ctx.makeTrader_A(
strategy.side.Signal(linear_signal).Strategy(
event.Every(const(1.)),
order.side.Limit(const(110), const(3)).side_Iceberg(const(1))),
"signal iceberg"),
ctx.makeTrader_A(
strategy.side.Signal(linear_signal).Strategy(
event.Every(const(1.)),
order.side.Limit(const(120), const(1)).side_ImmediateOrCancel),
"signal ioc"),
ctx.makeTrader_A(
strategy.side.Signal(linear_signal).Strategy(
event.Every(const(10.)),
order.side.price.Limit(const(1)).side_Peg), "signal peg"),
ctx.makeTrader_A(
strategy.side.Signal(linear_signal).Strategy(
event.Every(const(1.)),
order.side.Market(volume=const(1)).side_StopLoss(const(0.1))),
"signal stoploss"),
ctx.makeTrader_A(
strategy.side.Signal(linear_signal).Strategy(
event.Every(const(10.)),
order.side.Limit(price=midPrice, volume=const(1))),
"signal limit"),
ctx.makeTrader_A(
strategy.side.Signal(Interlacing()).Strategy(
event.Every(const(10)),
order.side.Limit(price=const(120), volume=const(1))),
"noise limit"),
ctx.makeTrader_A(
strategy.side.Signal(Interlacing()).Strategy(
event.Every(const(10)),
order.side.Limit(price=const(120),
volume=const(1)).side_WithExpiry(const(10))),
"noise expiry"),
ctx.makeTrader_A(
strategy.side.Signal(Interlacing()).Strategy(
event.Every(const(10.)),
order.side.price.Limit(const(1)).side_Peg.side_Iceberg(
const(1))), "iceberg peg"),
ctx.makeTrader_A(
strategy.side.Signal(Interlacing()).Strategy(
event.Every(const(10.)),
order.side.price.Limit(const(3)).side_price_Iceberg(
const(1)).side_Peg), "peg iceberg"),
ctx.makeTrader_A(
strategy.side.Signal(Interlacing()).Strategy(
event.Every(constant(3.)),
order.side.price.Limit(const(3)).side_price_Iceberg(
const(1)).side_Peg.side_WithExpiry(const(3))),
"peg iceberg expiry"),
ctx.makeTrader_A(
strategy.side.Signal(Interlacing()).Strategy(
event.Every(constant(10.)),
order.side.price.Limit(const(1)).side_Peg.side_Iceberg(
const(1)).side_WithExpiry(const(10.))),
"iceberg peg expiry"),
]
def Orders(ctx):
linear_signal = math.RandomWalk(initialValue=20,
deltaDistr=const(-.1),
name="20-0.1t")
midPrice = orderbook.MidPrice(ctx.book_A)
return [
ctx.makeTrader_A(
strategy.LiquidityProvider(
event.Every(const(1.)),
order.side_price.Limit(volume=const(35))),
"liquidity"),
ctx.makeTrader_A(
strategy.LiquidityProvider(
event.Every(const(100.)),
order.side_price.StopLoss(const(0.1),
order.side_price.Limit(volume=const(5)))),
"liquidity stoploss"),
ctx.makeTrader_A(
strategy.LiquidityProvider(
event.Every(const(10.)),
order.side_price.Iceberg(
order.side_price.Limit(volume=const(5)), const(1))),
"liquidity iceberg"),
ctx.makeTrader_A(
strategy.LiquidityProvider(
event.Every(const(10.)),
order.side_price.WithExpiry(const(5),
order.side_price.Limit(volume=const(5)))),
"liquidity expiry"),
ctx.makeTrader_A(
strategy.LiquidityProvider(
event.Every(const(10.)),
order.side_price.WithExpiry(const(5),
order.side_price.Iceberg(
order.side_price.Limit(volume=const(15)), const(1)))),
"liquidity iceberg expiry"),
ctx.makeTrader_A(strategy.Signal(
event.Every(const(1.)),
order.side.Market(volume = const(1)),
linear_signal),
"signal market"),
ctx.makeTrader_A(strategy.Signal(
event.Every(const(1.)),
order.side.FloatingPrice(const(100.),
order.side.price.Limit(const(1))),
linear_signal),
"signal floating"),
ctx.makeTrader_A(strategy.Signal(
event.Every(const(1.)),
order.side.Iceberg(
order.side.Limit(const(110), const(3)), const(1)),
linear_signal),
"signal iceberg"),
ctx.makeTrader_A(strategy.Signal(
event.Every(const(1.)),
order.side.ImmediateOrCancel(
order.side.Limit(const(120), const(1))),
linear_signal),
"signal ioc"),
ctx.makeTrader_A(strategy.Signal(
event.Every(const(10.)),
order.side.Peg(
order.side.price.Limit(const(1))),
linear_signal),
"signal peg"),
ctx.makeTrader_A(strategy.Signal(
event.Every(const(1.)),
order.side.StopLoss(
const(0.1),
order.side.Market(
volume = const(1))),
linear_signal),
"signal stoploss"),
ctx.makeTrader_A(strategy.Signal(
event.Every(const(10.)),
order.side.Limit(
price = midPrice,
volume = const(1)),
linear_signal),
"signal limit"),
ctx.makeTrader_A(strategy.Signal(
event.Every(const(10)),
order.side.Limit(
price = const(120),
volume = const(1)),
Interlacing()),
"noise limit"),
ctx.makeTrader_A(strategy.Signal(
event.Every(const(10)),
order.side.WithExpiry(
const(10),
order.side.Limit(
price = const(120),
volume = const(1))),
Interlacing()),
"noise expiry"),
ctx.makeTrader_A(strategy.Signal(
event.Every(const(10.)),
order.side.Iceberg(
order.side.Peg(
order.side.price.Limit(const(1))), const(1)),
Interlacing()),
"iceberg peg"),
ctx.makeTrader_A(strategy.Signal(
event.Every(const(10.)),
order.side.Peg(
order.side.price.Iceberg(
order.side.price.Limit(const(3)), const(1))),
Interlacing()),
"peg iceberg"),
ctx.makeTrader_A(strategy.Signal(
event.Every(constant(3.)),
order.side.WithExpiry(
constant(3.),
order.side.Peg(
order.side.price.Iceberg(
order.side.price.Limit(const(3)), const(1)))),
Interlacing()),
"peg iceberg expiry"),
ctx.makeTrader_A(strategy.Signal(
event.Every(constant(10.)),
order.side.WithExpiry(
constant(10.),
order.side.Iceberg(
order.side.Peg(
order.side.price.Limit(const(1))), const(1))),
Interlacing()),
"iceberg peg expiry"),
]
def s_fv(fv):
return strategy.TradeIfProfitable(
strategy.side.FundamentalValue(const(fv)).Strategy(orderFactory=order.side.Market(volume=const(1))))
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()
