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Release Notes

Explore key releases enhancing trade execution and management.
Settings- Sounds for Algo submitted/canceled orders 
  • Currently, the sounds for “New” and “Cancel” orders play for both manual orders and orders by automated tools. We have now separated the order actions between manual and algo to allow you to be notified when one or the other occurs. To implement this, the current two sound settings have been renamed to reference manual actions, and we have added two new sound settings for algo actions. 
Settings-  Increase number of custom action buttons
  • You can now configure up to fifty (50) custom action buttons on the Order Ticket and MD Trader. Previously the limit was twenty (20) buttons per widget.
OMS  Care order passing
  • We have extended our current OMS order passing ability to now include the ability to pass staged orders.

 

Upcoming

Order Book display Rejected orders for the current session
  • The Order Book and Orders and Fills widget (OFW) now display rejected orders for the current session. A new “Message” column can optionally be exposed that displays the same reject message text displayed in the Audit Trail. The Message column supports filtering/searching on the message text string. A new quick filter button named “Rejected” displays in the top upper right portion of the Order Book, that when clicked applies a filter to only show rejected orders. Also as part of this work, in the Order Book Settings you can also customize the row color for rejected orders.

Display Settlement Date for NDFs and Spot FX 
  • We now display Settlement Date for NDFs and Spot FX in the appropriate grid widgets, e.g., OB, OFW, Fills, Audit Trail, etc.

 

Jason Perz, who is a relatively new Commodity Trading Advisor (CTA) with Camshaft Capital, uses TT for trade execution. When Jason was preparing to launch his CTA and looking for a trading platform, he found TT’s robust collection of functionality to be a perfect match for his requirements. Not only does TT incorporate all of the trading tools he needs, but Jason says they’re superior to the other offerings he evaluated. Jason, whose passions include riding BMX bikes professionally, public speaking, and learning all about the ups and downs of both the markets and life, is a great example of how to start from scratch and succeed. We sat down with Jason to learn more about him and his business. You can find him on Twitter at @JasonBoyd138.

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SGX pioneered the world’s first cleared iron ore swap in 2009. Today, the market has grown to over two billion metric tonnes of futures and options annually, trading at 1.5 times the size of the underlying physical market. As the key ingredient in steel production, iron ore has proven to be an effective proxy for the Chinese, as well as the global macro economy. It has also been one of the best performing major commodities in the world in terms of price and returns over the last few years.

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A recent chat with our team in Brazil brought to light a surge in interest for the Aggregator widget among TT® platform users there. The uptick, driven by customers who are aggregating the standard and mini size contracts of products that trade on Brazil’s B3, illustrates just how powerful Aggregator is when looking to attain the best potential execution price across a product suite.

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As the investing world talks about an emerging supercycle, we’re bringing forward a commodity expert to discuss his outlook on the commodity markets. Tim Pickering is Founder, President and CIO of Auspice, a quantitative investment strategy specialist firm based in Calgary, Alberta, Canada. Auspice, which leverages both TT screens and APIs, employs a scientific research process to create rules-based investment strategies that put the volatility created by human behavior to good use. Tim talked with us about his career, Auspice’s unique market position and how the firm utilizes the TT platform to capitalize on market inefficiencies. You can find Tim on Twitter at @AuspiceTim.

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Some people call this artificial intelligence, but the reality is this technology will enhance us. So instead of artificial intelligence, I think we’ll augment our intelligence.

Ginni Rometty, former CEO of IBM

This quote from Ginni Rometty perfectly captures what we have been aiming to accomplish with TT Score since we started working on it several years ago. We are not applying machine-learning technology to trade surveillance in order to automate compliance officers out of their jobs.

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