Processing a Portfolio of Stocks
This project provides an easy to use functionality to implement and evaluate automatic stock trading strategies. It is implemented in java and therefore can be used in any environment which builds on the JVM.
It provides the following functionality:
– Simple access to stock data
– Declarative formulation of trading strategies
– Evaluation of trading strategies
– Optimization of trading strategies
– Support of portfolio of multiple stocks / trading strategies
In this document we demonstrate ‘Support of portfolio of multiple trading strategies’
using Scala. We are using JupyterLab (http://jupyter.org) with the BeakerX (http://beakerx.com/) Scala Kernel.
We can minimize the risk by investing in multiple stocks.
Setup
First you need to install the java libraries:
%classpath config resolver maven-public http://pschatzmann.ch:8081/repository/maven-public/
%classpath add mvn ch.pschatzmann:investor:0.9-SNAPSHOT
%classpath add mvn ch.pschatzmann:jupyter-jdk-extensions:0.0.1-SNAPSHOT
Imports
// our stock evaluation framwork
import ch.pschatzmann.dates._;
import ch.pschatzmann.stocks._;
import ch.pschatzmann.stocks.data.universe._;
import ch.pschatzmann.stocks.input._;
import ch.pschatzmann.stocks.accounting._;
import ch.pschatzmann.stocks.accounting.kpi._;
import ch.pschatzmann.stocks.execution._;
import ch.pschatzmann.stocks.execution.fees._;
import ch.pschatzmann.stocks.execution.price._;
import ch.pschatzmann.stocks.parameters._;
import ch.pschatzmann.stocks.strategy._;
import ch.pschatzmann.stocks.strategy.optimization._;
import ch.pschatzmann.stocks.strategy.allocation._;
import ch.pschatzmann.stocks.strategy.selection._;
import ch.pschatzmann.stocks.integration._;
import ch.pschatzmann.stocks.integration.ChartData.FieldName._;
import ch.pschatzmann.stocks.strategy.OptimizedStrategy.Schedule._;
// java
import java.util.stream.Collectors;
import java.util._;
import java.lang._;
import java.util.function.Consumer;
/// jupyter custom displayer
import ch.pschatzmann.display.Displayers
import ch.pschatzmann.dates._
import ch.pschatzmann.stocks._
import ch.pschatzmann.stocks.data.universe._
import ch.pschatzmann.stocks.input._
import ch.pschatzmann.stocks.accounting._
import ch.pschatzmann.stocks.accounting.kpi._
import ch.pschatzmann.stocks.execution._
import ch.pschatzmann.stocks.execution.fees._
import ch.pschatzmann.stocks.execution.price._
import ch.pschatzmann.stocks.parameters._
import ch.pschatzmann.stocks.strategy._
import ch.pschatzmann.stocks.strategy.optimization._
import ch.pschatzmann.stocks.strategy.allocation._
import ch.pschatzmann.stocks.strategy.selection._
import ch.pschatzmann.stocks.integration._
import ch.pschatzmann.stocks.integration.ChartData.FieldName._
import ch.pschatzmann.stocks.strategy.OptimizedStrategy.Schedule._
import java.util.stream...
Logging and Caching
We deactivate logging and caching
Displayers.setup()
Context.setCachingActive(false);
Context.isCachingActive();
false
Basic API
We first start with a simple example where we have only one Trading Strategy. So this means that all
Cash is invested in one single stock.
Here is the example with Apple
var account = new Account("Simulation","USD", 100000.00, Context.date("2016-01-01"), new PerTradeFees(10.0));
var trader = new PaperTrader(account);
var apple = new StockData(new StockID("AAPL", "NASDAQ"), new MarketArchiveHttpReader());
var executor = new StrategyExecutor(trader);
executor.addStrategy(new RSI2Strategy(apple));
executor.run(account.getDateRange());
println(account.getKPIValues())
Displayers.display(account.getTransactions.collect(Collectors.toList()));
[Absolute Return 45789.485122680664, Absolute Return Avarage per day 88.7393122532571, Absolute Return StdDev 1108.9644165334048, Return % 45.78948512268066, Return % per year 22.31905270970121, Return % StdDev 0.009838573963311588, Sharp Ratio 1.2573057139036334, Max Draw Down % 17.47134871673584, Max Draw Down Absolute 17471.34871673584, Max Draw Down - Number of days 272, Max Draw Down - High 100000.0, Max Draw Down - Low 82528.65128326416, Max Draw Down - Period 20160101-20160909, Number of Trades 3, Number of Buys 2, Number of Sells 1, Number of Cash Transfers 1, Number of Traded Stocks 1, Total Fees 30.0, Cash 28.512130737304688, Total Value (at actual rates) including cash 145789.48512268066, Total Value (at purchased rates) 86568.46670532227, Realized Gains -13401.533294677734, Unrealized Gains 59221.0184173584]
active |
stockID |
date |
quantity |
requestedPrice |
filledPrice |
fees |
comment |
id |
buyOrSell |
requestedPriceType |
impactOnCash |
true |
Key |
Value |
ticker |
Cash |
exchange |
Account |
|
2016-01-01 |
0 |
0 |
0 |
0 |
|
953513bf-0b3d-4b59-875d-bd14e784c309 |
NA |
CashTransfer |
100000 |
true |
Key |
Value |
ticker |
AAPL |
exchange |
NASDAQ |
|
2016-04-18 |
961 |
0 |
104.0382 |
10 |
|
d4af65f1-c47b-4e91-8bee-0f36477bd4db |
Buy |
Market |
-99990.6959 |
true |
Key |
Value |
ticker |
AAPL |
exchange |
NASDAQ |
|
2016-05-11 |
-961 |
0 |
90.0928 |
10 |
|
74e2828c-efaf-4fb7-861d-ac23f0414665 |
Sell |
Market |
86569.1626 |
true |
Key |
Value |
ticker |
AAPL |
exchange |
NASDAQ |
|
2016-08-12 |
817 |
0 |
105.9241 |
10 |
|
b984f005-4cfa-4a5c-ad40-3a4c443ee469 |
Buy |
Market |
-86549.9546 |
… and we do the same with Intel:
var account = new Account("Simulation","USD", 100000.00, Context.date("2016-01-01"), new PerTradeFees(10.0));
var trader = new PaperTrader(account);
var allocationStrategy = new SimpleAllocationStrategy(trader);
var intel = new StockData(new StockID("INTC", "NASDAQ"), new MarketArchiveHttpReader());
var executor = new StrategyExecutor(trader, allocationStrategy);
executor.addStrategy(new RSI2Strategy(intel));
executor.run(account.getDateRange());
println(account.getKPIValues())
Displayers.display(account.getTransactions.collect(Collectors.toList()));
[Absolute Return 32772.75686645508, Absolute Return Avarage per day 63.51309470243232, Absolute Return StdDev 1221.9343975523607, Return % 32.772756866455076, Return % per year 15.97434183819474, Return % StdDev 0.010577932826080098, Sharp Ratio 0.9085662460897985, Max Draw Down % 11.629011799586381, Max Draw Down Absolute 13625.774375915527, Max Draw Down - Number of days 174, Max Draw Down - High 117170.52670288086, Max Draw Down - Low 103544.75232696533, Max Draw Down - Period 20170127-20170822, Number of Trades 7, Number of Buys 4, Number of Sells 3, Number of Cash Transfers 1, Number of Traded Stocks 1, Total Fees 70.0, Cash 28.512775421142578, Total Value (at actual rates) including cash 132772.75686645508, Total Value (at purchased rates) 104241.93165588379, Realized Gains 4311.931655883789, Unrealized Gains 28530.82521057129]
active |
stockID |
date |
quantity |
requestedPrice |
filledPrice |
fees |
comment |
id |
buyOrSell |
requestedPriceType |
impactOnCash |
true |
Key |
Value |
ticker |
Cash |
exchange |
Account |
|
2016-01-01 |
0 |
0 |
0 |
0 |
|
6d69c5cb-a4b2-4a7d-9c19-0ea48904cb3f |
NA |
CashTransfer |
100000 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2016-04-05 |
3300 |
0 |
30.2955 |
10 |
|
ba0b45b1-62f0-4bdd-9b35-bd3edc33f7fa |
Buy |
Market |
-99985.0423 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2016-05-16 |
-3300 |
0 |
29.1107 |
10 |
|
c6580614-35a5-4fba-b27e-14da45962a9f |
Sell |
Market |
96055.3624 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2016-06-15 |
3172 |
0 |
30.2794 |
10 |
|
575f3358-d911-4612-b34f-451a48abb32b |
Buy |
Market |
-96056.1293 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2017-07-12 |
-3172 |
0 |
33.7945 |
10 |
|
89a503bd-6a78-49df-ac58-06ab4b308a55 |
Sell |
Market |
107186.2701 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2017-08-11 |
3006 |
0 |
35.6587 |
10 |
|
a356727e-b294-4358-9fee-8bf4884cf01a |
Buy |
Market |
-107199.992 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2017-08-30 |
-3006 |
0 |
34.6845 |
10 |
|
d839ff54-c50d-4197-97ce-8f2dbb5abcf0 |
Sell |
Market |
104251.4629 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2017-09-08 |
2979 |
0 |
34.9827 |
10 |
|
c7550724-6537-4705-8365-6cd0c2f52542 |
Buy |
Market |
-104223.4189 |
Allocation Strategies
Allocation strategies are used to manage the allocation across multiple stocks. If nothing is indicated the system is using the DistributedAllocationStrategy which is distributing the allocation evenly and reallocates the amounts whenever we get a new trade signal.
The system comes with an implementation of the following Strategies
– SimpleAllocationStrategy
– SimpleDistributedAllocationStrategy
– DistributedAllocationStrategy
– Even distributed
– Distributed by Sharpe Ratio of Stock
SimpleAllocationStrategy
With the SimpleAllocationStrategy we execute the trades as they come. If there is not enough cash when we get a buy signal then that is just bad luck…
var account = new Account("Simulation","USD", 100000.00, Context.date("2016-01-01"), new PerTradeFees(10.0));
var trader = new PaperTrader(account);
var apple = new StockData(new StockID("AAPL", "NASDAQ"), new MarketArchiveHttpReader());
var intel = new StockData(new StockID("INTC", "NASDAQ"), new MarketArchiveHttpReader());
var allocationStrategy = new SimpleAllocationStrategy(trader);
var executor = new StrategyExecutor(trader, allocationStrategy);
executor.addStrategy(new RSI2Strategy(apple));
executor.addStrategy(new RSI2Strategy(intel));
executor.run(account.getDateRange());
println(account.getKPIValues())
Displayers.display(account.getTransactions.collect(Collectors.toList()));
[Absolute Return 28849.856658935547, Absolute Return Avarage per day 55.91057492041773, Absolute Return StdDev 1126.7767107172494, Return % 28.849856658935547, Return % per year 14.06221253008077, Return % StdDev 0.010167557782280595, Sharp Ratio 0.8480999130137628, Max Draw Down % 11.115510448430202, Max Draw Down Absolute 12967.079467773438, Max Draw Down - Number of days 75, Max Draw Down - High 116657.52578735352, Max Draw Down - Low 103690.44631958008, Max Draw Down - Period 20161007-20161104, Number of Trades 7, Number of Buys 4, Number of Sells 3, Number of Cash Transfers 1, Number of Traded Stocks 2, Total Fees 70.0, Cash 37.834014892578125, Total Value (at actual rates) including cash 128849.85665893555, Total Value (at purchased rates) 107169.48651123047, Realized Gains 7239.486511230469, Unrealized Gains 21680.370147705078]
active |
stockID |
date |
quantity |
requestedPrice |
filledPrice |
fees |
comment |
id |
buyOrSell |
requestedPriceType |
impactOnCash |
true |
Key |
Value |
ticker |
Cash |
exchange |
Account |
|
2016-01-01 |
0 |
0 |
0 |
0 |
|
e541f8cb-abf5-4ede-bd02-bb30217ac89d |
NA |
CashTransfer |
100000 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2016-04-05 |
3300 |
0 |
30.2955 |
10 |
|
37be1d90-d67c-4b43-b1ca-ad211c9a8598 |
Buy |
Market |
-99985.0423 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2016-05-16 |
-3300 |
0 |
29.1107 |
10 |
|
f27ec25c-b8c6-4944-afc0-45d3583fefeb |
Sell |
Market |
96055.3624 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2016-06-15 |
3172 |
0 |
30.2794 |
10 |
|
9bcc00e9-3903-461c-9e9c-7e4f951f9873 |
Buy |
Market |
-96056.1293 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2017-07-12 |
-3172 |
0 |
33.7945 |
10 |
|
60af65f0-3cd9-47a5-9b80-ee02638aec58 |
Sell |
Market |
107186.2701 |
true |
Key |
Value |
ticker |
AAPL |
exchange |
NASDAQ |
|
2017-07-28 |
722 |
0 |
148.3818 |
10 |
|
809a982f-515f-4082-901e-e70b43798150 |
Buy |
Market |
-107141.6525 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2017-08-11 |
1 |
0 |
35.6587 |
10 |
|
eaacec8b-25ba-40ea-a729-dd8b529e4403 |
Buy |
Market |
-45.6587 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2017-08-30 |
-1 |
0 |
34.6845 |
10 |
|
99ea4024-c765-43a5-bf1e-83063a4f05f3 |
Sell |
Market |
24.6845 |
As we can see, the result is pretty bad: We get an Absolute Return which is even below the one of the worst investment (Intel).
SimpleDistributedAllocationStrategy
Each stock is given an equal potential cash amount. If there is no buy signal, then the amount is hold as cash.
This strategy has the disadvantage of keeping too much in cash and we are therfore loosing on oportunities. Therfore the result is – as expected -not very good:
var account = new Account("Simulation","USD", 100000.00, Context.date("2016-01-01"), new PerTradeFees(10.0));
var trader = new PaperTrader(account);
var allocationStrategy = new SimpleDistributedAllocationStrategy(trader);
var apple = new StockData(new StockID("AAPL", "NASDAQ"), new MarketArchiveHttpReader());
var intel = new StockData(new StockID("INTC", "NASDAQ"), new MarketArchiveHttpReader());
var executor = new StrategyExecutor(trader, allocationStrategy);
executor.addStrategy(new RSI2Strategy(apple));
executor.addStrategy(new RSI2Strategy(intel));
executor.run(account.getDateRange());
println(account.getKPIValues())
Displayers.display(account.getTransactions.collect(Collectors.toList()));
[Absolute Return 21628.06470298767, Absolute Return Avarage per day 41.9148540755575, Absolute Return StdDev 501.5600160100478, Return % 21.628064702987672, Return % per year 10.542112775924359, Return % StdDev 0.0046252961222568965, Sharp Ratio 1.3392276821474227, Max Draw Down % 5.450575373063731, Max Draw Down Absolute 5459.840757369995, Max Draw Down - Number of days 107, Max Draw Down - High 100169.98910522461, Max Draw Down - Low 94710.14834785461, Max Draw Down - Period 20160413-20160627, Number of Trades 10, Number of Buys 6, Number of Sells 4, Number of Cash Transfers 1, Number of Traded Stocks 2, Total Fees 100.0, Cash 45613.99278450012, Total Value (at actual rates) including cash 121628.06470298767, Total Value (at purchased rates) 97347.38072013855, Realized Gains -2552.61927986145, Unrealized Gains 24280.68398284912]
active |
stockID |
date |
quantity |
requestedPrice |
filledPrice |
fees |
comment |
id |
buyOrSell |
requestedPriceType |
impactOnCash |
true |
Key |
Value |
ticker |
Cash |
exchange |
Account |
|
2016-01-01 |
0 |
0 |
0 |
0 |
|
ed3f8b99-f2a0-4e77-a756-ef9652116bf3 |
NA |
CashTransfer |
100000 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2016-04-05 |
824 |
0 |
30.2955 |
10 |
|
229bf332-ea58-4533-b2f9-7555c2b10c8b |
Buy |
Market |
-24973.4651 |
true |
Key |
Value |
ticker |
AAPL |
exchange |
NASDAQ |
|
2016-04-15 |
234 |
0 |
106.3323 |
10 |
|
c5731f39-90c5-4148-9d45-640d1a3c4a43 |
Buy |
Market |
-24891.7578 |
true |
Key |
Value |
ticker |
AAPL |
exchange |
NASDAQ |
|
2016-05-10 |
-234 |
0 |
90.979 |
10 |
|
6007723f-7b10-4636-b4cb-af123f516f8d |
Sell |
Market |
21279.0851 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2016-05-16 |
-824 |
0 |
29.1107 |
10 |
|
e3e0c8cc-9699-4e6b-b8b6-33288e93d0a6 |
Sell |
Market |
23977.2299 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2016-06-15 |
787 |
0 |
30.2794 |
10 |
|
9b3d3354-6c0e-4302-a7e1-b241854c8f83 |
Buy |
Market |
-23839.8562 |
true |
Key |
Value |
ticker |
AAPL |
exchange |
NASDAQ |
|
2016-08-11 |
231 |
0 |
105.6793 |
10 |
|
f7fab246-c1d1-4189-ba45-19cf3367f446 |
Buy |
Market |
-24421.9109 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2017-07-12 |
-787 |
0 |
33.7945 |
10 |
|
bf73d97d-e440-4e47-a78b-210f443ba2b3 |
Sell |
Market |
26586.3003 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2017-08-11 |
770 |
0 |
35.6587 |
10 |
|
ecc99edd-71af-4f04-badb-646c0279bd73 |
Buy |
Market |
-27467.1836 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2017-08-30 |
-770 |
0 |
34.6845 |
10 |
|
d7fbf015-8f4c-4ff2-8669-47c32ae8373a |
Sell |
Market |
26697.0281 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2017-09-08 |
781 |
0 |
34.9827 |
10 |
|
c61b35bc-d1a5-48ce-b0fe-48ec2b7c4e1f |
Buy |
Market |
-27331.4771 |
DistributedAllocationStrategy
At each trade signal we reallocate the stock amouts so that we are always fully invested in stocks that have
a buy signal.
The distribution logic can be defined by defining a IDistributor. Per default we use the
EvenDistributor where all stocks are weighted the same.
The result is pretty good: it is just slightly below the return of the single Apple investment!
var account = new Account("Simulation","USD", 100000.00, Context.date("2016-01-01"), new PerTradeFees(10.0));
var trader = new PaperTrader(account);
var apple = new StockData(new StockID("AAPL", "NASDAQ"), new MarketArchiveHttpReader());
var intel = new StockData(new StockID("INTC", "NASDAQ"), new MarketArchiveHttpReader());
var allocationStrategy = new DistributedAllocationStrategy(trader);
var executor = new StrategyExecutor(trader, allocationStrategy);
executor.addStrategy(new RSI2Strategy(apple));
executor.addStrategy(new RSI2Strategy(intel));
executor.run(account.getDateRange());
println(account.getKPIValues())
Displayers.display(account.getTransactions.collect(Collectors.toList()));
[Absolute Return 60187.0680809021, Absolute Return Avarage per day 116.6416048079498, Absolute Return StdDev 1126.6268082141642, Return % 60.187068080902094, Return % per year 29.336830089724035, Return % StdDev 0.008859144244896934, Sharp Ratio 1.7072268942677449, Max Draw Down % 8.72040749597196, Max Draw Down Absolute 10356.939044952393, Max Draw Down - Number of days 57, Max Draw Down - High 118766.68664550781, Max Draw Down - Low 108409.74760055542, Max Draw Down - Period 20161018-20161114, Number of Trades 19, Number of Buys 7, Number of Sells 9, Number of Cash Transfers 1, Number of Traded Stocks 2, Total Fees 160.0, Cash 11.073921203613281, Total Value (at actual rates) including cash 160187.0680809021, Total Value (at purchased rates) 112037.7908620633, Realized Gains 12197.790862063299, Unrealized Gains 48149.2772188388]
active |
stockID |
date |
quantity |
requestedPrice |
filledPrice |
fees |
comment |
id |
buyOrSell |
requestedPriceType |
impactOnCash |
true |
Key |
Value |
ticker |
Cash |
exchange |
Account |
|
2016-01-01 |
0 |
0 |
0 |
0 |
|
215a09ea-2f02-47cf-841f-e705367d4f80 |
NA |
CashTransfer |
100000 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2016-04-06 |
3281 |
0 |
30.4664 |
10 |
|
8c859fcf-6d9d-4514-9df9-18122a843107 |
Buy |
Market |
-99970.3027 |
true |
Key |
Value |
ticker |
AAPL |
exchange |
NASDAQ |
|
2016-05-17 |
541 |
0 |
91.0472 |
10 |
rebalance of stocks |
d7fb7daa-ff22-441f-baa9-d0d75d9d65f3 |
Buy |
Market |
-49266.5203 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2016-05-17 |
-1642 |
0 |
28.718 |
10 |
|
e033dd3d-00e8-4d86-ba41-a168d5834554 |
Sell |
Market |
47144.9191 |
true |
Key |
Value |
ticker |
AAPL |
exchange |
NASDAQ |
|
2016-05-24 |
-541 |
0 |
95.3419 |
10 |
|
1cc11249-8613-41cf-b2a6-08969e3c2e36 |
Sell |
Market |
51569.9947 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2016-06-16 |
3252 |
0 |
30.356 |
10 |
|
6ee6bfa9-c0eb-424e-b115-b4d2cb4b6e70 |
Buy |
Market |
-98727.6963 |
true |
Key |
Value |
ticker |
AAPL |
exchange |
NASDAQ |
|
2016-08-26 |
517 |
0 |
104.7099 |
10 |
|
8d835c4f-2bda-471f-a3a5-182b2b557402 |
Buy |
Market |
-54145.0261 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2016-08-26 |
-16 |
0 |
34.0317 |
10 |
rebalance of stocks |
d1560afb-05eb-40f7-a9c8-b8d9d5f4bcf6 |
Sell |
Market |
534.5078 |
true |
Key |
Value |
ticker |
AAPL |
exchange |
NASDAQ |
|
2017-07-13 |
4 |
0 |
146.6647 |
10 |
rebalance of stocks |
c8ec6c67-d5f4-4625-b288-bf6fa05a49e1 |
Buy |
Market |
-596.659 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2017-07-13 |
-1611 |
0 |
33.7847 |
10 |
|
5e37a9c9-2f8b-4deb-af70-76fc2e171387 |
Sell |
Market |
54417.1001 |
true |
Key |
Value |
ticker |
AAPL |
exchange |
NASDAQ |
|
2017-08-14 |
-88 |
0 |
159.2774 |
10 |
rebalance of stocks |
8572b6c1-ad58-4a48-ba71-330834eaa046 |
Sell |
Market |
14006.413 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2017-08-14 |
1894 |
0 |
36.1259 |
10 |
|
343218c7-ecc4-4358-92eb-a73b282ce012 |
Buy |
Market |
-68432.4768 |
false |
Key |
Value |
ticker |
AAPL |
exchange |
NASDAQ |
|
2018-01-19 |
0 |
0 |
0 |
0 |
rebalance of stocks |
d3d9e16e-860a-4887-af7c-8d98eaa00595 |
NA |
Market |
0 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2017-08-31 |
-1894 |
0 |
34.8634 |
10 |
|
c2ce6f44-6934-4d8d-b64d-3e4fe94aab97 |
Sell |
Market |
66021.2642 |
true |
Key |
Value |
ticker |
AAPL |
exchange |
NASDAQ |
|
2017-09-11 |
-10 |
0 |
160.9215 |
10 |
rebalance of stocks |
4356ddd1-abf0-4e0f-90a8-904597b90309 |
Sell |
Market |
1599.2151 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2017-09-11 |
1901 |
0 |
35.5593 |
10 |
|
16927edc-1232-462f-b793-55e4cf6ca673 |
Buy |
Market |
-67608.1703 |
false |
Key |
Value |
ticker |
AAPL |
exchange |
NASDAQ |
|
2018-01-19 |
0 |
0 |
0 |
0 |
|
be40ec30-9536-4590-8950-768fe1c68397 |
NA |
Market |
0 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2016-08-12 |
-1625 |
0 |
33.3658 |
10 |
rebalance of stocks |
ba6dbd3c-bca4-4e1c-8c71-652d0f8ede74 |
Sell |
Market |
54209.3799 |
false |
Key |
Value |
ticker |
AAPL |
exchange |
NASDAQ |
|
2018-01-19 |
0 |
0 |
0 |
0 |
|
042bbcbc-8a2d-4c70-b960-72f1b6c1032b |
NA |
Market |
0 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2016-04-18 |
-1639 |
0 |
30.058 |
10 |
rebalance of stocks |
bd193358-175f-46c0-bdca-63867e35d97a |
Sell |
Market |
49255.1317 |
// create chart for total values
var chart = new TimeSeriesChart();
chart.add(account.getTotalValueHistory(), "Total Value");
chart.add(account.getCashHistoryForAllDates(), "Cash");
chart.add(account.getActualValueHistory(), "ActualValue");
chart.addLabels(account.getTransactions())
chart
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import scala.collection.JavaConversions._
var chart1 = new TimeSeriesChart()
chart1.add(account.getCashHistoryForAllDates(), "Cash");
chart1.add(account.getTotalValueHistory(), "Total Value");
chart1.add(account.getActualValueHistory(), "ActualValue");
for (id <- account.getStockIDs()) {
var data = account.getActualValueHistory(id);
chart1.add(data,id.toString())
}
//chart1.addLabels(account.getTransactions())
chart1
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The distributed allocation strategy can be configured by defining a Distributor which is
implementing the distributin logic. The default setting is using the EvenDistributor.
Here is the list of the currently implemented alternatives:
– EvenDistributor
– SharpeRatioDistributor
– SharpeRatioOfStockDistributor
SharpeRatioDistributor
import ch.pschatzmann.stocks.strategy.allocation._;
var periods = Context.getDateRanges("2015-01-01","2016-01-01");
var account = new Account("Simulation","USD", 100000.00, periods.get(0).getStart(), new PerTradeFees(10.0));
var trader = new PaperTrader(account);
var apple = new StockData(new StockID("AAPL", "NASDAQ"), new MarketArchiveHttpReader());
var intel = new StockData(new StockID("INTC", "NASDAQ"), new MarketArchiveHttpReader());
var appleStrategy = new RSI2Strategy(apple);
var intelStrategy = new RSI2Strategy(intel);
var distributor = new SharpeRatioDistributor(account);
var allocationStrategy = new DistributedAllocationStrategy(trader, distributor);
var executor = new StrategyExecutor(trader, allocationStrategy);
executor.addStrategy(appleStrategy);
executor.addStrategy(intelStrategy);
executor.run(periods.get(1));
println(account.getKPIValues())
Displayers.display(account.getTransactions.collect(Collectors.toList()))
[Absolute Return 60187.0680809021, Absolute Return Avarage per day 78.36857823034127, Absolute Return StdDev 925.0958080939445, Return % 60.187068080902094, Return % per year 19.72320046344256, Return % StdDev 0.007275427975944391, Sharp Ratio 1.3967315795266206, Max Draw Down % 8.72040749597196, Max Draw Down Absolute 10356.939044952393, Max Draw Down - Number of days 57, Max Draw Down - High 118766.68664550781, Max Draw Down - Low 108409.74760055542, Max Draw Down - Period 20161018-20161114, Number of Trades 19, Number of Buys 7, Number of Sells 9, Number of Cash Transfers 1, Number of Traded Stocks 2, Total Fees 160.0, Cash 11.073921203613281, Total Value (at actual rates) including cash 160187.0680809021, Total Value (at purchased rates) 112037.7908620633, Realized Gains 12197.790862063299, Unrealized Gains 48149.2772188388]
active |
stockID |
date |
quantity |
requestedPrice |
filledPrice |
fees |
comment |
id |
buyOrSell |
requestedPriceType |
impactOnCash |
true |
Key |
Value |
ticker |
Cash |
exchange |
Account |
|
2015-01-01 |
0 |
0 |
0 |
0 |
|
ac2ed050-f031-41f0-9d4f-56f944e06ac2 |
NA |
CashTransfer |
100000 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2016-04-06 |
3281 |
0 |
30.4664 |
10 |
|
9c2c0c3c-8d11-4def-8956-f56e1306e867 |
Buy |
Market |
-99970.3027 |
true |
Key |
Value |
ticker |
AAPL |
exchange |
NASDAQ |
|
2016-05-17 |
541 |
0 |
91.0472 |
10 |
rebalance of stocks |
47c07691-3c01-4e42-a9e3-afc3ec15256d |
Buy |
Market |
-49266.5203 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2016-05-17 |
-1642 |
0 |
28.718 |
10 |
|
6283a260-e7dc-40ad-9459-da82f72acfe4 |
Sell |
Market |
47144.9191 |
true |
Key |
Value |
ticker |
AAPL |
exchange |
NASDAQ |
|
2016-05-24 |
-541 |
0 |
95.3419 |
10 |
|
d6d2d883-7dfe-4f54-8c4f-ae80c96e5121 |
Sell |
Market |
51569.9947 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2016-06-16 |
3252 |
0 |
30.356 |
10 |
|
3027273f-b458-4f4a-994c-f52743772c95 |
Buy |
Market |
-98727.6963 |
true |
Key |
Value |
ticker |
AAPL |
exchange |
NASDAQ |
|
2016-08-26 |
517 |
0 |
104.7099 |
10 |
|
44a0e16a-df90-4e8b-bc49-51137bef8440 |
Buy |
Market |
-54145.0261 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2016-08-26 |
-16 |
0 |
34.0317 |
10 |
rebalance of stocks |
f3660618-18a9-41a2-89b7-85049594723b |
Sell |
Market |
534.5078 |
true |
Key |
Value |
ticker |
AAPL |
exchange |
NASDAQ |
|
2017-07-13 |
4 |
0 |
146.6647 |
10 |
rebalance of stocks |
ece54b7c-67d0-41dd-a8e4-806bac64995b |
Buy |
Market |
-596.659 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2017-07-13 |
-1611 |
0 |
33.7847 |
10 |
|
ab868ef3-d37b-4789-a848-2df736039da3 |
Sell |
Market |
54417.1001 |
true |
Key |
Value |
ticker |
AAPL |
exchange |
NASDAQ |
|
2017-08-14 |
-88 |
0 |
159.2774 |
10 |
rebalance of stocks |
df3feb09-0faf-40b9-b3bd-d87ace3499a8 |
Sell |
Market |
14006.413 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2017-08-14 |
1894 |
0 |
36.1259 |
10 |
|
f34e52e5-e671-4f63-871c-5766b6563f49 |
Buy |
Market |
-68432.4768 |
false |
Key |
Value |
ticker |
AAPL |
exchange |
NASDAQ |
|
2018-01-19 |
0 |
0 |
0 |
0 |
rebalance of stocks |
a9d030e0-bd10-48b5-908c-02d99443e980 |
NA |
Market |
0 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2017-08-31 |
-1894 |
0 |
34.8634 |
10 |
|
b91116de-e402-41b9-bcab-b7cce4de72cb |
Sell |
Market |
66021.2642 |
true |
Key |
Value |
ticker |
AAPL |
exchange |
NASDAQ |
|
2017-09-11 |
-10 |
0 |
160.9215 |
10 |
rebalance of stocks |
c8ce8f41-fe92-40d2-a1ac-ccaed12a6ee4 |
Sell |
Market |
1599.2151 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2017-09-11 |
1901 |
0 |
35.5593 |
10 |
|
e14a7e8f-a655-475b-b679-0d48e60934be |
Buy |
Market |
-67608.1703 |
false |
Key |
Value |
ticker |
AAPL |
exchange |
NASDAQ |
|
2018-01-19 |
0 |
0 |
0 |
0 |
|
e9a81e7c-7e11-4f00-bff4-1a88cb312f88 |
NA |
Market |
0 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2016-08-12 |
-1625 |
0 |
33.3658 |
10 |
rebalance of stocks |
f6c4e06c-2ac6-42a1-8f8c-11aae30a3c6d |
Sell |
Market |
54209.3799 |
false |
Key |
Value |
ticker |
AAPL |
exchange |
NASDAQ |
|
2018-01-19 |
0 |
0 |
0 |
0 |
|
785a31fd-6c5a-4a40-b9e3-b2e41d2cc2b9 |
NA |
Market |
0 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2016-04-18 |
-1639 |
0 |
30.058 |
10 |
rebalance of stocks |
d51b1fb8-278e-4027-94db-fefedcbce03e |
Sell |
Market |
49255.1317 |
SharpeRatioOfStockDistributor
The sharpe ratio is measuring the risk adusted return. So in the long run it might be of advantate if we prefer stocks with a high sharpe ratio to stocks with a lower one.
The stocks are distributed by the SharpeRatio which is calculated with the stock closing prices
import ch.pschatzmann.stocks.strategy.allocation._;
var periods = Context.getDateRanges("2015-01-01","2016-01-01");
var account = new Account("Simulation","USD", 100000.00, Context.date("2016-01-01"), new PerTradeFees(10.0));
var trader = new PaperTrader(account);
var apple = new StockData(new StockID("AAPL", "NASDAQ"), new MarketArchiveHttpReader());
var intel = new StockData(new StockID("INTC", "NASDAQ"), new MarketArchiveHttpReader());
var appleStrategy = new RSI2Strategy(apple);
var intelStrategy = new RSI2Strategy(intel);
var distributor = new SharpeRatioOfStockDistributor(account, 0.0);
var allocationStrategy = new DistributedAllocationStrategy(trader, distributor);
var executor = new StrategyExecutor(trader, allocationStrategy);
executor.addStrategy(appleStrategy);
executor.addStrategy(intelStrategy);
executor.run(periods.get(1));
println(account.getKPIValues())
Displayers.display(account.getTransactions.collect(Collectors.toList()))
[Absolute Return 60827.445598602295, Absolute Return Avarage per day 117.88264650891918, Absolute Return StdDev 1127.2149815722971, Return % 60.827445598602296, Return % per year 29.64896768055663, Return % StdDev 0.008846034799164536, Sharp Ratio 1.7234413711155498, Max Draw Down % 8.740579066053773, Max Draw Down Absolute 10395.807270050049, Max Draw Down - Number of days 57, Max Draw Down - High 118937.28311920166, Max Draw Down - Low 108541.47584915161, Max Draw Down - Period 20161018-20161114, Number of Trades 19, Number of Buys 7, Number of Sells 9, Number of Cash Transfers 1, Number of Traded Stocks 2, Total Fees 160.0, Cash 24.211456298828125, Total Value (at actual rates) including cash 160827.4455986023, Total Value (at purchased rates) 111766.7706210201, Realized Gains 11926.770621020096, Unrealized Gains 49060.674977582195]
active |
stockID |
date |
quantity |
requestedPrice |
filledPrice |
fees |
comment |
id |
buyOrSell |
requestedPriceType |
impactOnCash |
true |
Key |
Value |
ticker |
Cash |
exchange |
Account |
|
2016-01-01 |
0 |
0 |
0 |
0 |
|
5d7f112a-fe54-435a-be8f-079ba19ad185 |
NA |
CashTransfer |
100000 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2016-04-06 |
3281 |
0 |
30.4664 |
10 |
|
cf01b092-0b3d-4e58-8139-70a4d3869c9d |
Buy |
Market |
-99970.3027 |
true |
Key |
Value |
ticker |
AAPL |
exchange |
NASDAQ |
|
2016-05-17 |
557 |
0 |
91.0472 |
10 |
rebalance of stocks |
87e6c862-369f-4ce7-a4e7-7cddfd20b01b |
Buy |
Market |
-50723.2751 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2016-05-17 |
-1593 |
0 |
28.718 |
10 |
|
f3eb6449-4c40-49da-b96f-bc730e9173b1 |
Sell |
Market |
45737.7382 |
true |
Key |
Value |
ticker |
AAPL |
exchange |
NASDAQ |
|
2016-05-24 |
-557 |
0 |
95.3419 |
10 |
|
a0168d31-c8d3-4539-8fb7-f72eda34e7ec |
Sell |
Market |
53095.4659 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2016-06-16 |
3256 |
0 |
30.356 |
10 |
|
030adee1-33c4-4fa2-9a0f-45f87e72bef5 |
Buy |
Market |
-98849.1203 |
true |
Key |
Value |
ticker |
AAPL |
exchange |
NASDAQ |
|
2016-08-26 |
529 |
0 |
104.7099 |
10 |
|
11f4e86d-5cf2-4fa1-8a2b-78d6b98027dc |
Buy |
Market |
-55401.5451 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2016-08-26 |
-14 |
0 |
34.0317 |
10 |
rebalance of stocks |
20b1f6df-8e89-45f1-925a-32b7ac3c03de |
Sell |
Market |
466.4443 |
true |
Key |
Value |
ticker |
AAPL |
exchange |
NASDAQ |
|
2017-07-13 |
3 |
0 |
146.6647 |
10 |
rebalance of stocks |
33f83976-b049-4af2-bba0-e9421a52a644 |
Buy |
Market |
-449.9942 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2017-07-13 |
-1579 |
0 |
33.7847 |
10 |
|
d2a7eb26-3977-41ff-a92e-b171f1d036be |
Sell |
Market |
53335.9907 |
true |
Key |
Value |
ticker |
AAPL |
exchange |
NASDAQ |
|
2017-08-14 |
-80 |
0 |
159.2774 |
10 |
rebalance of stocks |
3251e709-34d2-40cb-88d7-755008cc470e |
Sell |
Market |
12732.1936 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2017-08-14 |
1831 |
0 |
36.1259 |
10 |
|
9d8604ae-35ec-48fb-b26d-c91d19bb6fc5 |
Buy |
Market |
-66156.5443 |
false |
Key |
Value |
ticker |
AAPL |
exchange |
NASDAQ |
|
2018-01-19 |
0 |
0 |
0 |
0 |
rebalance of stocks |
f6f2c5c9-1519-40a5-a48b-d14959635b52 |
NA |
Market |
0 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2017-08-31 |
-1831 |
0 |
34.8634 |
10 |
|
e32cd4a6-60c8-40ee-965c-9d526614bca7 |
Sell |
Market |
63824.8705 |
true |
Key |
Value |
ticker |
AAPL |
exchange |
NASDAQ |
|
2017-09-11 |
-9 |
0 |
160.9215 |
10 |
rebalance of stocks |
27a5929e-7c00-4555-a560-bd1a4bd14611 |
Sell |
Market |
1438.2936 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2017-09-11 |
1835 |
0 |
35.5593 |
10 |
|
e84fd28b-fef8-4e51-88f1-b0aac7fc97b7 |
Buy |
Market |
-65261.2585 |
false |
Key |
Value |
ticker |
AAPL |
exchange |
NASDAQ |
|
2018-01-19 |
0 |
0 |
0 |
0 |
|
196a5c65-b843-4100-99df-79cecb1275d3 |
NA |
Market |
0 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2016-08-12 |
-1663 |
0 |
33.3658 |
10 |
rebalance of stocks |
20ce4f46-b7b5-4209-b926-a497fdbdf4bf |
Sell |
Market |
55477.2792 |
false |
Key |
Value |
ticker |
AAPL |
exchange |
NASDAQ |
|
2018-01-19 |
0 |
0 |
0 |
0 |
|
cb87017b-4e4d-47cb-887d-82112a5c7319 |
NA |
Market |
0 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2016-04-18 |
-1688 |
0 |
30.058 |
10 |
rebalance of stocks |
ea220be5-1960-4ad2-8a83-b734cc695176 |
Sell |
Market |
50727.9758 |
Optimizations
Optimized DistributedAllocationStrategy – BinarySearchOptimizer
We also have the possibility to define an optimizer.
We just wrap our trading strategy into a OptimizedStrategy to which we pass the selected optimizer.
var periods = Context.getDateRanges("2015-01-01","2016-01-01");
var account = new Account("Simulation","USD", 100000.00, Context.date("2016-01-01"), new PerTradeFees(10.0));
var trader = new PaperTrader(account);
var apple = new StockData(new StockID("AAPL", "NASDAQ"), new MarketArchiveHttpReader());
var intel = new StockData(new StockID("INTC", "NASDAQ"), new MarketArchiveHttpReader());
var appleStrategy = new RSI2Strategy(apple);
var intelStrategy = new RSI2Strategy(intel);
var allocationStrategy = new DistributedAllocationStrategy(trader);
var executor = new StrategyExecutor(trader, allocationStrategy);
var optimizer = new BinarySearchOptimizer(new SimulatedFitness(account), KPI.AbsoluteReturn);
executor.addStrategy(new OptimizedStrategy(appleStrategy, optimizer, MONTH));
executor.addStrategy(new OptimizedStrategy(intelStrategy, optimizer, MONTH));
executor.run(periods.get(1));
println(account.getKPIValues())
Displayers.display(account.getTransactions.collect(Collectors.toList()))
[Absolute Return 41296.35997772217, Absolute Return Avarage per day 80.0317053831825, Absolute Return StdDev 1107.7395204912796, Return % 41.29635997772217, Return % per year 20.128980105195332, Return % StdDev 0.010370537899183269, Sharp Ratio 1.1089779883625646, Max Draw Down % 17.209354858398438, Max Draw Down Absolute 17209.354858398438, Max Draw Down - Number of days 191, Max Draw Down - High 100000.0, Max Draw Down - Low 82790.64514160156, Max Draw Down - Period 20160101-20160627, Number of Trades 12, Number of Buys 6, Number of Sells 5, Number of Cash Transfers 1, Number of Traded Stocks 2, Total Fees 110.0, Cash 22.136310577392578, Total Value (at actual rates) including cash 141296.35997772217, Total Value (at purchased rates) 99085.8531524589, Realized Gains -804.1468475411002, Unrealized Gains 42210.50682526327]
active |
stockID |
date |
quantity |
requestedPrice |
filledPrice |
fees |
comment |
id |
buyOrSell |
requestedPriceType |
impactOnCash |
true |
Key |
Value |
ticker |
Cash |
exchange |
Account |
|
2016-01-01 |
0 |
0 |
0 |
0 |
|
9dcf1bee-acd4-4204-8b38-925412246b1f |
NA |
CashTransfer |
100000 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2016-01-06 |
3210 |
0 |
31.142 |
10 |
|
4b1da666-cd71-4cf0-9d4a-7d9d42e68332 |
Buy |
Market |
-99975.8757 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2016-02-18 |
-3210 |
0 |
27.9402 |
10 |
|
7d724a28-35c4-46c5-9261-827287f386b5 |
Sell |
Market |
89678.063 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2016-04-27 |
2974 |
0 |
30.153 |
10 |
|
2c3f476f-94e3-4192-8c7d-a94e042a2a4a |
Buy |
Market |
-89685.0557 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2016-05-17 |
-2974 |
0 |
28.718 |
10 |
|
93847c9d-3e2d-4339-bf0b-7d50286fec80 |
Sell |
Market |
85397.2652 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2016-06-16 |
2813 |
0 |
30.356 |
10 |
|
ad1a1ef4-3b59-42db-b8c4-e3b49d2c1dc7 |
Buy |
Market |
-85401.4144 |
true |
Key |
Value |
ticker |
AAPL |
exchange |
NASDAQ |
|
2016-11-01 |
436 |
0 |
109.165 |
10 |
|
73ce356c-f882-4aa8-aae3-c44c3e73ee93 |
Buy |
Market |
-47605.9537 |
true |
Key |
Value |
ticker |
AAPL |
exchange |
NASDAQ |
|
2017-07-13 |
5 |
0 |
146.6647 |
10 |
rebalance of stocks |
3c20f1fd-d067-44fc-b68d-c309d6e74093 |
Buy |
Market |
-743.3237 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2017-07-13 |
-1408 |
0 |
33.7847 |
10 |
|
43603153-a985-4942-8e14-f264cee2264d |
Sell |
Market |
47558.8125 |
true |
Key |
Value |
ticker |
AAPL |
exchange |
NASDAQ |
|
2017-08-21 |
-67 |
0 |
156.6469 |
10 |
rebalance of stocks |
32219e3d-089e-4a82-bbf1-5793514c30c9 |
Sell |
Market |
10485.341 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2017-08-21 |
1673 |
0 |
34.7143 |
10 |
|
86f1e507-6c04-4559-986f-8bf48ef2ae78 |
Buy |
Market |
-58086.9827 |
false |
Key |
Value |
ticker |
AAPL |
exchange |
NASDAQ |
|
2018-01-19 |
0 |
0 |
0 |
0 |
|
e18b74c5-f030-4f34-be16-226c03bb2027 |
NA |
Market |
0 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2016-08-30 |
-1405 |
0 |
34.4564 |
10 |
rebalance of stocks |
a716e657-fc20-4ae1-849b-bce4d82963ec |
Sell |
Market |
48401.2606 |
var periods = Context.getDateRanges("2015-01-01","2016-01-01");
var account = new Account("Simulation","USD", 100000.00, Context.date("2016-01-01"), new PerTradeFees(10.0));
var trader = new PaperTrader(account);
var apple = new StockData(new StockID("AAPL", "NASDAQ"), new MarketArchiveHttpReader());
var intel = new StockData(new StockID("INTC", "NASDAQ"), new MarketArchiveHttpReader());
var appleStrategy = new RSI2Strategy(apple);
var intelStrategy = new RSI2Strategy(intel);
var allocationStrategy = new DistributedAllocationStrategy(trader);
var executor = new StrategyExecutor(trader, allocationStrategy);
var optimizer = new BinarySearchOptimizer(new SimulatedFitness(account), KPI.AbsoluteReturn);
executor.addStrategy(new OptimizedStrategy(appleStrategy, optimizer, YEAR));
executor.addStrategy(new OptimizedStrategy(intelStrategy, optimizer, YEAR));
executor.run(periods.get(1));
println(account.getKPIValues())
Displayers.display(account.getTransactions.collect(Collectors.toList()))
[Absolute Return 28061.674724578857, Absolute Return Avarage per day 54.38309055150941, Absolute Return StdDev 1057.9731814347635, Return % 28.061674724578857, Return % per year 13.678031006951397, Return % StdDev 0.010276380270101453, Sharp Ratio 0.8228758081097507, Max Draw Down % 15.96958173751831, Max Draw Down Absolute 15969.58173751831, Max Draw Down - Number of days 258, Max Draw Down - High 100000.0, Max Draw Down - Low 84030.41826248169, Max Draw Down - Period 20160101-20160519, Number of Trades 13, Number of Buys 6, Number of Sells 7, Number of Cash Transfers 1, Number of Traded Stocks 2, Total Fees 130.0, Cash 23.981441497802734, Total Value (at actual rates) including cash 128061.67472457886, Total Value (at purchased rates) 93125.62129592896, Realized Gains -6744.378704071045, Unrealized Gains 34936.0534286499]
active |
stockID |
date |
quantity |
requestedPrice |
filledPrice |
fees |
comment |
id |
buyOrSell |
requestedPriceType |
impactOnCash |
true |
Key |
Value |
ticker |
Cash |
exchange |
Account |
|
2016-01-01 |
0 |
0 |
0 |
0 |
|
e99e0bdf-1955-4df2-8035-9d74151d19e8 |
NA |
CashTransfer |
100000 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2016-01-06 |
3210 |
0 |
31.142 |
10 |
|
6933a14d-5bd3-470f-9c93-da3ac763551a |
Buy |
Market |
-99975.8757 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2016-02-18 |
-3210 |
0 |
27.9402 |
10 |
|
cfe210e4-6032-4716-871b-7b40fd957ed5 |
Sell |
Market |
89678.063 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2016-03-28 |
2960 |
0 |
30.2955 |
10 |
|
1181f197-4b8a-4a98-bde5-993ac854c1f5 |
Buy |
Market |
-89684.5834 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2016-05-26 |
-2960 |
0 |
30.1644 |
10 |
|
3c1babc2-de87-4250-869d-4807ed81db81 |
Sell |
Market |
89276.6582 |
true |
Key |
Value |
ticker |
AAPL |
exchange |
NASDAQ |
|
2016-08-30 |
860 |
0 |
103.7895 |
10 |
|
f14bfc3d-d7d8-4a56-8563-087db40a06d4 |
Buy |
Market |
-89268.9809 |
true |
Key |
Value |
ticker |
AAPL |
exchange |
NASDAQ |
|
2016-10-13 |
-428 |
0 |
114.5405 |
10 |
rebalance of stocks |
82edf994-d635-4fe9-b5e1-7a3c18c43e77 |
Sell |
Market |
49013.3522 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2016-10-13 |
1374 |
0 |
35.6822 |
10 |
|
a05ec3f8-b49d-40d0-a1d4-32585e6ec437 |
Buy |
Market |
-49037.3028 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2017-07-13 |
-1374 |
0 |
33.7847 |
10 |
|
e7565ec9-b5f3-4d5d-88f8-1e2b9b1866ff |
Sell |
Market |
46410.1338 |
true |
Key |
Value |
ticker |
AAPL |
exchange |
NASDAQ |
|
2017-08-14 |
-69 |
0 |
159.2774 |
10 |
rebalance of stocks |
f77ac3df-847e-41a8-a904-037026442e14 |
Sell |
Market |
10980.142 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2017-08-14 |
1588 |
0 |
36.1259 |
10 |
|
67006337-1b0a-4275-9252-5e4e26638da2 |
Buy |
Market |
-57377.9478 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2017-08-31 |
-1588 |
0 |
34.8634 |
10 |
|
a4c4a738-bf9b-4779-94b6-048086f4d08f |
Sell |
Market |
55353.0663 |
true |
Key |
Value |
ticker |
AAPL |
exchange |
NASDAQ |
|
2017-10-12 |
-2 |
0 |
155.4412 |
10 |
rebalance of stocks |
2553e977-e3e9-4565-b73c-1eb334c9fb33 |
Sell |
Market |
300.8824 |
true |
Key |
Value |
ticker |
INTC |
exchange |
NASDAQ |
|
2017-10-12 |
1428 |
0 |
38.9591 |
10 |
|
9fd5d67b-5a3c-4f8f-9e2e-a428ab311667 |
Buy |
Market |
-55643.6258 |
2 Comments
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