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I have been advised to publish the following to share the gift of knowledge and general peer review.

In my spare time I've been working on Automated Commodities Trading  in C# because it is fun, intellectually challenging, and it might make me lots of money which would go towards increasing happiness on Earth. To learn more read on.

A screen shot of our IB TWS windows application HT-TWSAPP is shown below in the LIVE mode. This C# TWS App retrieves and processes market data to make real time trades and compute P & L which provides feedback to the configured trade strategy.

Screen Shot

Both the HT-TWSAPP and the PLStatus windows are shown. The ListBox in HT-TWSAPP shows price and size events, etc as they arrive with a time stamp. The PLStatus window contains a Datagrid where the individual cells are updated as events occur.

The TWS Account window, shown in the background, is updated around every three minutes or immediately when a change in position occurs.

I could not find a way to extract the P & L values for each contract via the TWS API. So I had to compute P & L myself.

CPL (Closed P & L) is updated whenever a position is covered, partly or fully.
The OPL (Open P & L) is updated with every price tick. The UpTime (Updated Time) is updated whenever any column is updated.

HT-TWSAPP is a multithreaded application with 3 thread priorities. GUI and TWS events have normal priority. Generally, database operations have low priority and writing to a log file has the lowest priority.

Our database stores tick by tick data for price and size events for subscribed financial instruments. Currently, we are interested in securities of the FUT type, symbols HG, SI, GC, CL, and ES. We try to choose the contract expiration month with the highest open interest.

As part of our record keeping, we also store in our database events such as submitted orders, order status, exec details and error messages.

These and other events are also written to a log file. All events have unique time stamps. Both the database and the log files were very useful for debugging.

All this stored data is also very useful when we run in the SIM mode. More about that later.

In the next section we will talk about trading strategy and evaluation.

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Email:  Phone: 808-372-1570
John Orendt, 216 Lark Ave, Sebring, FL 33870
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