{"id":512,"date":"2018-09-04T18:33:18","date_gmt":"2018-09-04T16:33:18","guid":{"rendered":"https:\/\/www.pschatzmann.ch\/home\/?p=512"},"modified":"2020-11-21T22:22:52","modified_gmt":"2020-11-21T21:22:52","slug":"running-automatic-trading-bot","status":"publish","type":"post","link":"https:\/\/www.pschatzmann.ch\/home\/2018\/09\/04\/running-automatic-trading-bot\/","title":{"rendered":"Investor – Running an Automatic Trading Bot"},"content":{"rendered":"

So far we have looked at the trading simulation functionality which was using the historic stock data to evaluate strategies on a single stock or a portfolio of stocks.<\/p>\n

In this document we want to demonstrate how to do trading with actual data.<\/p>\n

We still use the PaperTrader to demonstrate the basic logic<\/p>\n

Setup<\/h3>\n

We add the necessary jars and import all relevant packages:<\/p>\n

%classpath config resolver maven-public https:\/\/software.pschatzmann.ch\/repository\/maven-public\/\n%%classpath add mvn \nch.pschatzmann:investor:0.9-SNAPSHOT\nch.pschatzmann:jupyter-jdk-extensions:0.0.1-SNAPSHOT\n\n<\/code><\/pre>\n
Added new repo: maven-public\n<\/code><\/pre>\n
\/\/ imports for the investor framwork\nimport ch.pschatzmann.dates._;\nimport ch.pschatzmann.stocks._;\nimport ch.pschatzmann.stocks.data.universe._;\nimport ch.pschatzmann.stocks.input._;\nimport ch.pschatzmann.stocks.accounting._;\nimport ch.pschatzmann.stocks.accounting.kpi._;\nimport ch.pschatzmann.stocks.execution._;\nimport ch.pschatzmann.stocks.execution.fees._;\nimport ch.pschatzmann.stocks.execution.price._;\nimport ch.pschatzmann.stocks.parameters._;\nimport ch.pschatzmann.stocks.strategy._;\nimport ch.pschatzmann.stocks.strategy.optimization._;\nimport ch.pschatzmann.stocks.strategy.allocation._;\nimport ch.pschatzmann.stocks.strategy.selection._;\nimport ch.pschatzmann.stocks.integration._;\nimport ch.pschatzmann.stocks.integration.ChartData.FieldName._;\nimport ch.pschatzmann.stocks.strategy.OptimizedStrategy.Schedule._;\n\n\/\/ java\nimport java.util.stream.Collectors;\nimport java.util._;\nimport java.lang._;\nimport java.util.function.Consumer;\nimport scala.collection.JavaConverters\n\n\/\/\/ jupyter custom displayer\nimport ch.pschatzmann.display.Displayers\n\n<\/code><\/pre>\n
import ch.pschatzmann.dates._\nimport ch.pschatzmann.stocks._\nimport ch.pschatzmann.stocks.data.universe._\nimport ch.pschatzmann.stocks.input._\nimport ch.pschatzmann.stocks.accounting._\nimport ch.pschatzmann.stocks.accounting.kpi._\nimport ch.pschatzmann.stocks.execution._\nimport ch.pschatzmann.stocks.execution.fees._\nimport ch.pschatzmann.stocks.execution.price._\nimport ch.pschatzmann.stocks.parameters._\nimport ch.pschatzmann.stocks.strategy._\nimport ch.pschatzmann.stocks.strategy.optimization._\nimport ch.pschatzmann.stocks.strategy.allocation._\nimport ch.pschatzmann.stocks.strategy.selection._\nimport ch.pschatzmann.stocks.integration._\nimport ch.pschatzmann.stocks.integration.ChartData.FieldName._\nimport ch.pschatzmann.stocks.strategy.OptimizedStrategy.Schedule._\nimport java.util.stream...\n<\/code><\/pre>\n
Trading with One Single Strategy<\/h3>\n
Here is the first example with one defined strategy:
\n– We use a ManagedAccount in order to make sure that the transactions can be saved and reloaded when we restart the functionality at a later date.
\n– We need to set up the StrategyExecutor first.
\n– Then we can feed it to the ScheduledExecutor and schedule the job with a cron expression.<\/p>\n
Cron Syntax<\/h4>\n
The detailed description of the quartz cron syntax can be found at http:\/\/www.quartz-scheduler.org\/documentation\/quartz-2.x\/tutorials\/crontrigger.html<\/a>. E.g. ff we an it to run every 10 minutes we would specify “0 0\/8 * * * ?”
\nIn our example we execute the strategy every day at 8am GMT.<\/p>\n
var account = new ManagedAccount(\"648-11017-A\", \"USD\", 100000.00, new Date(), new PerTradeFees(6.95))\nvar trader = new PaperTrader(account);\nvar strategyExecutor = new StrategyExecutor(trader);\nvar apple = new StockData(new StockID(\"AAPL\", \"NASDAQ\"), new YahooReader());\nstrategyExecutor.addStrategy(new RSI2Strategy(apple));\n\n\/\/ schedule the future execution \nvar scheduledExecutor = new ScheduledExecutor(strategyExecutor)\nscheduledExecutor.schedule(\"0 0 8 * * ?\"); \n\n<\/code><\/pre>\n
The scheduled trading has been stopped\nThe trading has been scheduled....\n\n\n\n\n\nnull\n<\/code><\/pre>\n
Trading a Porfolio of Strategies<\/h3>\n
In our second example we use the StrategySelector\/StockSelector that we got to know in the Selection Chapter.<\/p>\n
To trade a porfolio of strategies is using the same flow as above:<\/p>\n
var periods = Context.getDateRanges(\"2016-01-01\",\"2017-01-01\");\nvar account = new ManagedAccount(\"648-11017-B\", \"USD\", 100000.00, periods.get(0).getStart(), new PerTradeFees(6.95))\nvar strategies = TradingStrategyFactory.list()\nvar trader = new PaperTrader(account);\nvar allocationStrategy = new DistributedAllocationStrategy(trader);\nvar executor = new StrategyExecutor(trader, allocationStrategy);\nvar portfolioUniverse =  new EdgarUniverse(2016, Arrays.asList(0.2, 0.5, 0.8, 1.0), 10, Arrays.asList(\"NetIncomeLoss\"), true)                                \nvar strategySelector = new StrategySelector(account, strategies, periods.get(0), KPI.AbsoluteReturn)\nvar stockSelector = new StockSelector(strategySelector)\nvar reader = new YahooReader() \nvar result = stockSelector.getSelection(10, portfolioUniverse, reader)\nexecutor.setStrategies(result.getStrategies(reader));\n\nvar scheduledExecutor = new ScheduledExecutor(executor)\nscheduledExecutor.schedule(\"0 0 8 * * ?\"); \n\nscheduledExecutor.stop()\n<\/code><\/pre>\n
The scheduled trading has been stopped\nThe trading has been scheduled....\nThe scheduled trading has been stopped\n\n\n\n\n\nnull\n<\/code><\/pre>\n
Trading a Porfolio of Strategies II<\/h3>\n
In our last example we show a more dynamic example which recalculates the Strategy Executor and Universe with each year change. To achieve this we overwrite the getExecutor() method in a new custom MyScheduledExecutor subclass:<\/p>\n
 class MyScheduledExecutor() extends ScheduledExecutor() {\n    var currentYear:Integer = null;\n\n    override def getExecutor: StrategyExecutor = {\n        var year = Context.getYear(new Date())\n        var executor = super.getExecutor()\n        if (year!=currentYear) {\n            System.out.println(\"Defining new executor\");\n            var periods = Context.getDateRanges((year-2)+\"-01-01\",(year-1)+\"-01-01\");\n            var account = new ManagedAccount(\"648-11017\", \"USD\", 100000.00, periods.get(0).getStart(), new PerTradeFees(6.95))\n            var strategies = TradingStrategyFactory.list()\n            var trader = new PaperTrader(account);\n            var allocationStrategy = new DistributedAllocationStrategy(trader);\n            executor = new StrategyExecutor(trader, allocationStrategy);\n            var portfolioUniverse =  new EdgarUniverse(year-2, Arrays.asList(0.2, 0.5, 0.8, 1.0), 10, Arrays.asList(\"NetIncomeLoss\"), true)                                \n            var strategySelector = new StrategySelector(account, strategies, periods.get(0), KPI.AbsoluteReturn)\n            var stockSelector = new StockSelector(strategySelector)\n            var reader = new YahooReader() \n            var result = stockSelector.getSelection(10, portfolioUniverse, reader)\n            executor.setStrategies(result.getStrategies(reader));\n            setExecutor(executor)\n            currentYear = year\n        }\n        return executor\n    }\n }\n\nvar scheduledExecutor = new MyScheduledExecutor()\nscheduledExecutor.schedule(\"0 0 8 * * ?\"); \n\n<\/code><\/pre>\n
Defining new executor\nThe scheduled trading has been stopped\nThe trading has been scheduled....\n\n\n\n\n\nnull\n<\/code><\/pre>\n
Checking the Result<\/h3>\n
If there are any trades the system creates a file with the list of transactions in the ‘trades’ subdirectory. The latest updated account information can be found in the ‘accounts’ directory.<\/p>\n
We can also determine the trasactions from the account which is available in the executor:<\/p>\n
Displayers.display(scheduledExecutor.getAccount().getTransactions())\n<\/code><\/pre>\n\n\n\n
stockID<\/th>\ndate<\/th>\nquantity<\/th>\nrequestedPrice<\/th>\nfilledPrice<\/th>\nfees<\/th>\ncomment<\/th>\nid<\/th>\nstatus<\/th>\nrequestedPriceType<\/th>\nbuyOrSell<\/th>\nimpactOnCash<\/th>\nactive<\/th>\n<\/tr>\n
\n\n\n\n\n
Key<\/th>\nValue<\/th>\n<\/tr>\n
ticker<\/td>\nCash<\/td>\n<\/tr>\n
exchange<\/td>\nAccount<\/td>\n<\/tr>\n<\/table>\n<\/td>\n2016-01-01<\/td>\n0<\/td>\n0<\/td>\n0<\/td>\n0<\/td>\n<\/td>\n2feaf27c-9439-4957-b81d-2fa0f1b8d163<\/td>\nPlanned<\/td>\nCashTransfer<\/td>\nNA<\/td>\n100000<\/td>\ntrue<\/td>\n<\/tr>\n<\/table>\n","protected":false},"excerpt":{"rendered":"
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