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The SpeedTrader
The SpeedTrader
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The SpeedTrader
STATUS
Concept
SIZE
1,000,000 +
BUDGET
$100M +
The SpeedTrader
“High-frequency trading (HFT) is a program trading platform that uses powerful computers to transact a large number of orders at very fast speeds. It uses complex algorithms to analyze multiple markets and execute orders based on market conditions. Typically, the traders with the fastest execution speeds are more profitable than traders with slower execution speeds.”
Time is money. In fact, a trader could lose $4 million in revenues per millisecond . When every millisecond counts, reducing the latency is crucial.
The current distance between financial headquarters in Manhattan and their data centers in New Jersey is near 33 miles- 275 microseconds-. A long distance where the investment is at risk due to the speed of connection, and possible hacker attacks. How could we increase the speed of execution, while protecting the financial data?
The ‘Speed-Trader’ is a High Frequency Trading Data Center in the hearth of Midtown, New York, capable of reducing the latency by 272 microseconds through the proximity between infrastructure and financial headquarters, generating an additional profit of 27 million dollars per year.
One of the main characteristics of the ‘Speed-Trader’ is the automation of the complete process -without human intervention-, increasing execution speed. The investment in infrastructure is compensated through millions of shares performed per second.
It uses the sun, the wind, the rain, the humidity, and the steam available in New York, to produce a profitable and self- sustainable skyscraper. In fact, the geometry of its envelope and its spatial organization is a result of these environmental conditions.
In a data center cooling is essential. Traditionally solved with Computer Room Air Condition (CRAC) units that reduce the temperature of the room and of the servers through the air, conventional data centers use unsustainable amounts of water- while releasing heat to the atmosphere through heat exchangers. Instead, the ‘Speed-trader’ separates the computer room (CRC) and the server cooling (SC).
For the CRC, the façade has a variety of air intakes oriented towards the strongest wind flow, using positively the ‘downdraught effect’ produced by tall buildings to effectively cool the interior spaces of the building. The intakes have a variable section increasing the speed of the wind when passing through each of them. This reduces the dependence on CRAC units.
For the SC, a system based on liquid cooling technology is used, to increase the performance while reducing the carbon footprint.
To avoid using the NYC water supply system, the façade maximizes the collection of rainwater. The creases in the façade collect rainwater that is later stored in one of the micro-reservoirs along the tower. Also, a fog harvesting system is used to capture the existing humidity in the air through a delicate and intricate membrane located at 1/3 of the total height, where the fog accumulates due to the temperature difference between the warm air near to the ground, and the cold air in the top of the skyscraper.
This water is cooled using the natural flow of wind through a ‘crossflow’ cooling system and stored in one of the four cold water reservoirs located on top of the server rooms. The water flows vertically along the tower, cooling the servers through gravity. Finally, the ‘used’ water is treated, and stored in the ‘main reservoir’ where is ready to be re-used.
Also, energy is an important feature of the data centers. Therefore, the ‘Speed-trader’ uses the steam system of NYC to generate electricity, reducing the operation expenses. Located in the basement, multiple steam electric generators use the high pressure of the steam system to rotate turbines generating enough power for the skyscraper.
Bibliography
Investopedia. (2017, 01 01). High Frequency Trading. Retrieved from Investopedia: http://www.investopedia.com/terms/h/high-frequency-trading.asp
TABB Group. (2017, 01 10). Speed: Why it matters and what can be done. Retrieved from TABB group: https://research.tabbgroup.com/report/v15-001-speed-why-it-matters-and-what-can-be-done
“High-frequency trading (HFT) is a program trading platform that uses powerful computers to transact a large number of orders at very fast speeds. It uses complex algorithms to analyze multiple markets and execute orders based on market conditions. Typically, the traders with the fastest execution speeds are more profitable than traders with slower execution speeds.”
Time is money. In fact, a trader could lose $4 million in revenues per millisecond . When every millisecond counts, reducing the latency is crucial.
The current distance between financial headquarters in Manhattan and their data centers in New Jersey is near 33 miles- 275 microseconds-. A long distance where the investment is at risk due to the speed of connection, and possible hacker attacks. How could we increase the speed of execution, while protecting the financial data?
The ‘Speed-Trader’ is a High Frequency Trading Data Center in the hearth of Midtown, New York, capable of reducing the latency by 272 microseconds through the proximity between infrastructure and financial headquarters, generating an additional profit of 27 million dollars per year.
One of the main characteristics of the ‘Speed-Trader’ is the automation of the complete process -without human intervention-, increasing execution speed. The investment in infrastructure is compensated through millions of shares performed per second.
It uses the sun, the wind, the rain, the humidity, and the steam available in New York, to produce a profitable and self- sustainable skyscraper. In fact, the geometry of its envelope and its spatial organization is a result of these environmental conditions.
In a data center cooling is essential. Traditionally solved with Computer Room Air Condition (CRAC) units that reduce the temperature of the room and of the servers through the air, conventional data centers use unsustainable amounts of water- while releasing heat to the atmosphere through heat exchangers. Instead, the ‘Speed-trader’ separates the computer room (CRC) and the server cooling (SC).
For the CRC, the façade has a variety of air intakes oriented towards the strongest wind flow, using positively the ‘downdraught effect’ produced by tall buildings to effectively cool the interior spaces of the building. The intakes have a variable section increasing the speed of the wind when passing through each of them. This reduces the dependence on CRAC units.
For the SC, a system based on liquid cooling technology is used, to increase the performance while reducing the carbon footprint.
To avoid using the NYC water supply system, the façade maximizes the collection of rainwater. The creases in the façade collect rainwater that is later stored in one of the micro-reservoirs along the tower. Also, a fog harvesting system is used to capture the existing humidity in the air through a delicate and intricate membrane located at 1/3 of the total height, where the fog accumulates due to the temperature difference between the warm air near to the ground, and the cold air in the top of the skyscraper.
This water is cooled using the natural flow of wind through a ‘crossflow’ cooling system and stored in one of the four cold water reservoirs located on top of the server rooms. The water flows vertically along the tower, cooling the servers through gravity. Finally, the ‘used’ water is treated, and stored in the ‘main reservoir’ where is ready to be re-used.
Also, energy is an important feature of the data centers. Therefore, the ‘Speed-trader’ uses the steam system of NYC to generate electricity, reducing the operation expenses. Located in the basement, multiple steam electric generators use the high pressure of the steam system to rotate turbines generating enough power for the skyscraper.
Bibliography
Investopedia. (2017, 01 01). High Frequency Trading. Retrieved from Investopedia: http://www.investopedia.com/terms/h/high-frequency-trading.asp
TABB Group. (2017, 01 10). Speed: Why it matters and what can be done. Retrieved from TABB group: https://research.tabbgroup.com/report/v15-001-speed-why-it-matters-and-what-can-be-done
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