{"id":33,"date":"2021-05-12T17:10:16","date_gmt":"2021-05-12T08:10:16","guid":{"rendered":"http:\/\/sigma-technology.jp\/wp\/?page_id=33"},"modified":"2021-09-13T17:27:04","modified_gmt":"2021-09-13T08:27:04","slug":"teluro","status":"publish","type":"page","link":"http:\/\/sigma-technology.jp\/","title":{"rendered":"Front Page"},"content":{"rendered":"
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what we do<\/h6>\n <\/div>\n <\/div>\n
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Create smart machines for financial market and beyond.<\/h2>\n <\/div>\n <\/div>\n
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 Sigma Technology, based in Tokyo, was founded in August 2009 with the aim of researching, developing and implementing algorithmic trading systems that was becoming a standard in the electronic trading industry globally.<\/p>\n

 We’ve created many trading machines and run them on equity, futures (including indices, commodities and bonds), options, currency and cryptocurrency markets, sometimes as a member of exchanges or a registered liquidity provider. On other times we played a role of introducing new technologies in Japanese financial industry.<\/span><\/p>\n

 Now after a decade of foundation, many online brokers, ISVs and exchanges are providing APIs to access markets, so even small cap investors can create their own automated trading systems today. Are the days when automated\n trading is innovative over? No, not at all. The race for creating faster and smarter systems is still on the hot spot and more and more firms are seeking high tech solutions. <\/p>\n

 Moreover, upcoming markets such as cryptocurrency, prediction, emission or data markets are emerging, while traditional wholesale markets like electricity and food, as well as retail used goods markets, have gone online and are\n becoming similar to financial markets. The opportunity to connect to these new markets and trade automatically is growing.<\/p>\n

 With the computational, quantitative, and financial technologies that we have acquired through experiences of financial and commodity markets, we hope to continue to be a breath of fresh air in the global marketplace.<\/p>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n

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BUSINESS DOMAINS<\/h5>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n
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Entrusted development<\/h4>\n <\/div>\n <\/div>\n
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Developing systems for connecting to trading venues. Creating these systems need a strong sense of real time data processing. Doing business only with partners who share the values.<\/p>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n

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Proprietary trading<\/h4>\n <\/div>\n <\/div>\n
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Actively trading various products on our self capital. Machine learning and statistical methods are utilized here to enhance the trading performance.<\/p>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n

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Fintech R&D<\/h4>\n <\/div>\n <\/div>\n
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Investing in upcoming technologies to keep up with or go ahead of global trend. Some of the areas are computer architecture, low latency networking, natural language processing, cryptocurrency and smart contract.<\/p>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n<\/div>\n<\/div>\n<\/div>\n

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CORPORATE MISSION<\/h5>\n <\/div>\n <\/div>\n
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Bring about the progress of technology from electronic trading.<\/h2>\n <\/div>\n <\/div>\n
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 Our mission is to bring about the progress of technology from electronic trading. This “technology” encompasses not only financial technology, but also computer science, information and communication systems, and artificial intelligence.<\/p>\n

 Financial markets have always been a motivation for improving information and communication technology since their inception in ancient times. In Japan, where the first futures exchange was born, a hand-flag communication system\n was invented to transmit the price of rice. At the same time, an optical communication system called “semaphore” or “telegraph” was invented in France, and its major customers were sending information for stock trading. In the early\n days of electrical communications, the most famous inventor, Thomas Edison, created a telegraphic device that displayed stock price, which is said to be his first successful invention.<\/p>\n

 In a more recent example, low latency network cards were mainly used by high frequency trading firms. Although there was criticism that the sub-millisecond speed race would not bring any benefit to the general public, these low\n latency technologies are now used for HPC interconnects for scientific computing, machine learning R&D, as well as web business, IoT communications.<\/p>\n

 Moving away from high speed communication, let’s look at data analysis. A variety of time series analysis methods devised for financial data are also used to analyze web traffic and sensor data. Pandas, a Python class library,\n was invented by a hedge fund quant for quantitative analysis of financial data, and is now used by a large number of data scientists. Sentiment analysis of text data has been actively researched by financial institutions as an investment\n idea, and is now being used in marketing and advertising too.<\/p>\n

 As these examples show, financial markets have always been at the forefront of technological advancements. Scientific and engineering wisdom is interconnected across industries. We believe that the development of state-of-the-art\n systems in competitive financial markets may contribute to the innovation humanity-wide.<\/p>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n<\/div>\n

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Contact us<\/h2>\n <\/div>\n <\/div>\n
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Sigma Technology Co., Ltd.<\/p>\n <\/div>\n <\/div>\n

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