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Saintis Oxford bangunkan sim buku pesanan had dipercepatkan GPU untuk mengajar AI cara berniaga
(Oxford scientists develop GPU accelerated limit order book sim to teach AI how to trade)
Published: 2023-09-05
1. Simulasi Perdagangan Kecerdasan Buatan (AI) (Topik 1): Artikel ini membincangkan bagaimana saintis Oxford telah membangunkan algoritma dipercepat GPU yang mensimulasikan buku pesanan had untuk mengajar sistem kecerdasan buatan (AI) bagaimana untuk berdagang. Topik ini memberi tumpuan kepada pembangunan simulasi perdagangan AI dan kesan potensinya terhadap industri kewangan. Algoritma ini direka untuk membantu sistem AI memahami dan menavigasi kerumitan perdagangan, meningkatkan pengambilan keputusan mereka dan berpotensi membawa kepada strategi perdagangan yang lebih cekap dan menguntungkan.
2. Pecutan GPU untuk Simulasi Cekap (Topik 2): Satu lagi topik utama yang diserlahkan dalam artikel ini ialah penggunaan pecutan GPU dalam simulasi perdagangan. Dengan menggunakan kuasa pengiraan unit pemprosesan grafik (GPU), algoritma boleh melakukan simulasi dengan lebih cepat daripada kaedah tradisional. Topik ini menekankan kepentingan teknologi GPU dalam membolehkan simulasi yang lebih cepat dan lebih cekap, yang penting untuk melatih sistem AI dalam senario perdagangan masa nyata.
3. Aplikasi dan Manfaat Potensi (Topik 3): Artikel ini juga meneroka pelbagai aplikasi dan potensi faedah menggunakan simulasi perdagangan AI. Ia menyebut bagaimana sistem AI yang dilatih melalui simulasi ini boleh digunakan untuk membantu peniaga manusia, memberikan mereka pandangan berharga dan membantu mereka membuat keputusan perdagangan yang lebih bermaklumat. Selain itu, simulasi boleh digunakan untuk menguji dan meningkatkan strategi perdagangan, membolehkan peniaga mengurangkan risiko dan memaksimumkan keuntungan. Topik ini menyoroti implikasi praktikal simulasi perdagangan AI dan potensi mereka untuk merevolusikan industri kewangan. Secara ringkasnya, topik utama yang dibincangkan dalam artikel ini termasuk Kecerdasan Buatan (AI) Simulasi Perdagangan (Topik 1), Pecutan GPU untuk Simulasi Cekap (Topik 2), dan Aplikasi dan Manfaat Potensi (Topik 3). Topik-topik ini menyelidiki perkembangan simulasi perdagangan AI, penggunaan teknologi GPU, dan implikasi praktikal dan potensi manfaat simulasi ini dalam industri kewangan.. .
1. Artificial Intelligence (AI) Trading Simulations (Topic 1): The article discusses how Oxford scientists have developed a GPU-accelerated algorithm that simulates a limit order book to teach artificial intelligence (AI) systems how to trade. This topic is focused on the development of AI trading simulations and their potential impact on the financial industry. The algorithm is designed to help AI systems understand and navigate the complexities of trading,improving their decision-making and potentially leading to more efficient and profitable trading strategies.
2. GPU Acceleration for Efficient Simulations (Topic 2): Another major topic highlighted in the article is the use of GPU acceleration in the trading simulation. By utilizing the computational power of graphics processing units (GPUs),the algorithm can perform simulations significantly faster than traditional methods. This topic emphasizes the importance of GPU technology in enabling faster and more efficient simulations,which are vital for training AI systems in real-time trading scenarios.
3. Applications and Potential Benefits (Topic 3): The article also explores the various applications and potential benefits of using AI trading simulations. It mentions how AI systems trained through these simulations can be used to assist human traders,providing them with valuable insights and helping them make better-informed trading decisions. Additionally,the simulations can be used to test and improve trading strategies,allowing traders to mitigate risks and maximize profits. This topic highlights the practical implications of AI trading simulations and their potential to revolutionize the financial industry. In summary,the main topics covered in the article include Artificial Intelligence (AI) Trading Simulations (Topic 1),GPU Acceleration for Efficient Simulations (Topic 2),and Applications and Potential Benefits (Topic 3). These topics delve into the development of AI trading simulations,the use of GPU technology,and the practical implications and potential benefits of these simulations in the financial industry.
Reference: cointelegraph.com
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| 1 |  FOR |
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| 2 | RSR |
<0.01 | +14.43 |
| 3 | FTM |
0.89 | +10.21 |
| 4 |  COTI |
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| 5 |  UNI |
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| 6 |  POLYX |
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| 7 |  ZRX |
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| 8 |  SSV |
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| 9 |  IQ |
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| 10 | ICP |
13.54 | +4.00 |
| 11 |  POND |
0.02 | +3.30 |
| 12 |  PENDLE |
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| 13 |  LTO |
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| 14 |  DUSK |
0.35 | +2.49 |
| 15 |  1INCH |
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| 16 |  BETA |
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| 17 | ENA |
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| 18 |  CYBER |
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| 19 |  TRU |
0.13 | +2.10 |
| 20 |  FIRO |
1.70 | +1.98 |
| 21 |  LAZIO |
2.79 | +1.97 |
| 22 |  CITY |
3.39 | +1.77 |
| 23 |  DIA |
0.51 | +1.64 |
| 24 |  BEL |
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| 25 |  UMA |
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| 26 |  ACH |
0.03 | +1.58 |
| 27 |  BAR |
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| 2 |  BLZ |
0.32 | -11.95 |
| 3 | WIF |
2.60 | -11.01 |
| 4 | PEPE |
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| 6 |  AVA |
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| 7 |  WRX |
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| 8 | ORDI |
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| 9 |  COMBO |
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| 11 |  VANRY |
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| 12 |  AI |
1.06 | -5.30 |
| 13 | FLOKI |
<0.01 | -5.12 |
| 14 |  SYS |
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| 15 |  UTK |
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| 22 |  C98 |
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| 28 |  WING |
6.00 | -3.38 |
| 29 |  PORTO |
2.47 | -3.36 |
| 30 |  LOOM |
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