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  1. NTU Theses and Dissertations Repository
  2. 管理學院
  3. 創業創新管理碩士在職專班(EiMBA)
Please use this identifier to cite or link to this item: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/78298
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dc.contributor.advisor陳炳宇(Bing-Yu Chen)
dc.contributor.authorYu-Min Suen
dc.contributor.author蘇育民zh_TW
dc.date.accessioned2021-07-11T14:50:01Z-
dc.date.available2024-04-01
dc.date.copyright2020-08-14
dc.date.issued2020
dc.date.submitted2020-08-08
dc.identifier.citation[1] Satoshi Nakamoto. 2008. Bitcoin: A Peer-to-Peer Electronic Cash System. https://bitcoin.org/bitcoin.pdf
[2] Osterwalder, A., Pigneur, Y. 2010. Business model generation: A handbook for visionaries, game changers, and challengers. New Jersey, Wiley.
[3] Osterwalder, A., Y. Pigneur and etc. 2014. Value Proposition Design: How to Create Products and Services Customers Want. New Jersey, Wiley.
[4] Marie Caroline Baerd, Marie Garnier, . Lilia Baccour. 2015. Digital Disruption in Asset and Wealth Management. Capgemini Consulting.
[5] World Economic Forum. 2015. The Future of Financial Services: How disruptive innovations are reshaping the way financial services are structured, provisioned and consumed. Deloitte.
[6] Raul Amoros. 2017. The Bitcoin Economy, in Perspective. https://howmuch.net/articles/worlds-money-in-perspective
[7] Saifedean Ammous. 2018. The Bitcoin Standard: The Decentralized Alternative to Central Banking. Wiley.
[8] Investingoal. 2018. What is Social Trading and How it works - 2020 Definitive Guide. https://investingoal.com/social-trading/#what-is-social-trading-8211-complete-tutorial-for-beginners
[9] Coindesk. 2019. Cryptocurrencies Are Still the World’s Best Performing Asset Class This Year. https://www.coindesk.com/cryptocurrency-is-still-the-worlds-best-performing-asset-class-this-year
[10] Janny Kul. 2019. A comprehensive introduction to Crypto Trading with Bots. https://hackernoon.com/a-comprehensive-introduction-to-crypto-trading-with-bots-ti23930ly
[11] Glassnode. 2019. Number of Bitcoin addresses holding more than 1000 BTC. https://twitter.com/glassnode/status/1182674900496146432
[12] Investopedia. 2019. Quantitative Trading Definition. Investopedia. https://www.investopedia.com/terms/q/quantitative-trading.asp
[13] Coinrise. 2019. Cryptocurrency Investing: Advantages and Disadvantages. https://thecoinrise.com/cryptocurrency-investing-advantages-and-disadvantages/
[14] CoinShares. 2019. Crypto Trends Report. https://coinshares.com/research/2019-crypto-trends-report
[15] PlanB. 2019. Modeling Bitcoin Value with Scarcity. https://medium.com/@100trillionUSD/modeling-bitcoins-value-with-scarcity-91fa0fc03e25
[16] CoinMarketCap Blog. 2020. According to CoinMarketCap 2019. https://blog.coinmarketcap.com/2020/01/09/according-to-coinmarketcap-2019/
[17] Riya Kumari. 2019. 3commas vs Cryptohopper vs Coinigy vs Trailingcrypto — Top Trading Bots Comparison and Reviews. https://medium.com/@riyashines/3commas-vs-cryptohopper-vs-coinigy-vs-trailingcrypto-top-trading-bots-comparison-and-reviews-d1a53b529657
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/78298-
dc.description.abstract加密資產和區塊鏈的概念已存在了很長的一段時間,然而,直到最近才成為主流並被廣泛應用。加密貨幣交易已成為區塊鏈技術迄今為止最受歡迎的應用和商業模式。在過去幾年中,快速增長的加密貨幣種類,加密貨幣交易所和相關性衍生品交易服務已經引發了一個蓬勃發展的加密貨幣市場。
為了因應加密貨幣交易市場的快速增長,許多專家和專業投資機構已將量化交易方法導入了加密資產交易市場。各種成熟和複雜的交易策略、大數據投資訊號預測解決方案、自動演算法交易解決方案、人工智慧機器人顧問、決策系統和交易社群已逐漸融入這一新興投資市場,創造了巨大的量化投資方法。
大多數加密貨幣投資者缺少與專業投資機構相同的投資經驗、知識或量化投資工具。因此,主流的加密貨幣交易所提供各種投資工具,財富管理機器人軟體和跟投投資平台來提高用戶的投資績效。但目前的市場上仍缺乏提供給各加密交易所的投資者一個受保護的環境及利潤分享服務的投資平台。
本研究計畫提案建立一個加密貨幣智能交易平台,讓交易專家提供量化策略,供投資會員依據自己的風險承受度及喜好選擇策略,並利用區塊鏈智能合約技術,連接「投資會員」及「交易專家」,讓投資會員能夠跳過那些繁瑣的學習路程,直接跟隨交易專家的腳步,將手上的加密貨幣資產做有效的運用。
本研究希望透過創造更智慧,更透明的生態系統,幫助投資者提高投資回報,提高投資專家的收入以及交易所的盈利,為整個交易生態系統創造雙贏局面。
zh_TW
dc.description.abstractThe concepts of crypto assets and blockchain have been present for a long time, however, it was only until recently that mainstream implementation has taken place. Since implementation, cryptocurrency trading has become the most popular application and business model of blockchain technology to date. In the past few years, the rapidly increasing types of crypto currencies, cryptocurrency exchanges, and related derivative trading service have given rise to a booming cryptocurrency market.
In response to the rapid growth of the cryptocurrency trading market many experts and professional investment institutions have introduced quantitative trading methodologies into the crypto asset trading market. Various mature and complex trading strategies, big data investment prediction solutions, automated algorithm trading solutions, artificial intelligence robot advisors, decision-making systems and social trading communities have gradually been embedded into this emerging investment market, creating a vast ocean of quantitative investment methodologies.
Most cryptocurrency investors do not have the same investment experience, knowledge or quantitative investment tools that professional investment institutions possess. Therefore, major cryptocurrency exchanges provide various investment tools, wealth management robot software, and mirror trading investment mechanisms in hopes of improving users’ investment performance. However, the current market lacks an investment platform that provides a protected environment for crypto investors and profit-sharing service across the various crypto exchanges.
This research proposes to establish a cryptocurrency smart social-trading platform that allows trading experts to provide quantitative strategies for investment members to choose strategies based on their risk tolerance and preferences, and uses blockchain smart contract technology to connect 'investment members' and 'Trading experts'. It allows investment members to skip the tedious learning curve and directly follow the steps of trading experts to effectively use the cryptocurrency assets in their hands.
This research hopes to help investment clients improve their investment returns, increase the profitability of professional investment experts and the revenue of exchanges, creating a win-win situation for the entire ecosystem.
en
dc.description.provenanceMade available in DSpace on 2021-07-11T14:50:01Z (GMT). No. of bitstreams: 1
U0001-0808202016244300.pdf: 9281387 bytes, checksum: ea9bf0b06cd6f98e3a58290cb4446226 (MD5)
Previous issue date: 2020
en
dc.description.tableofcontents誌謝 i
中文摘要 ii
ABSTRACT iii
目錄 v
圖目錄 ix
表目錄 xi
Chapter 1 緒論 1
1.1 研究動機 1
1.2 研究目的 3
1.3 重要名詞釋義 4
Chapter 2 加密貨幣 6
2.1 貨幣的本質 6
2.2 加密貨幣信仰者 10
2.3 常見的加密貨幣 13
Chapter 3 加密貨幣交易機器人 14
3.1 機器人理財 14
3.2 程式交易 15
3.2.1 演算法交易 16
3.2.2 量化交易 19
3.2.3 高頻交易 21
3.2.4 套利交易 22
3.3 常見加密貨幣交易機器人 24
Chapter 4 價值主張 26
4.1 顧客描述(Customer Profile) 26
4.1.1 顧客的任務(Customer Jobs) 28
4.1.2 顧客的痛點(Pains) 29
4.1.3 顧客的獲益(Gains) 30
4.2 價值地圖(Value Map) 31
4.2.1 產品與服務(Products and Services) 31
4.2.2 痛點解方(Pain Relievers) 32
4.2.3 獲益引擎(Gain Creators) 34
4.3 價值主張圖(Value Proposition Canvas) 36
Chapter 5 商業模式 37
5.1 價值提案(Value Proposition) 37
5.2 顧客關係(Customer Relationships) 39
5.3 通路(Channels) 41
5.4 關鍵活動(Key Activities) 42
5.5 關鍵資源(Key Resources) 45
5.6 關鍵夥伴(Key Partnerships) 47
5.7 成本結構(Cost Structure) 49
5.8 營收來源(Revenue Streams) 51
5.9 商業模式圖(Business Model Canvas) 52
Chapter 6 環境分析 53
6.1 市場規模 53
6.2 競爭分析 56
6.2.1 競品選擇 56
6.2.2 競品比較 57
6.3 關鍵趨勢 60
6.3.1 監管法規趨勢 61
6.3.2 社會經濟趨勢 62
6.3.3 技術趨勢 64
Chapter 7 時程與財務規劃 66
7.1 時程規劃 66
7.1.1 時程發展規劃 66
7.1.2 平台發展路線圖 67
7.2 財務規劃 67
7.2.1 營業收入 67
7.2.2 營業成本 69
7.2.3 營業費用 71
7.2.4 預估毛利率與淨利率 72
7.2.5 同業利潤標準參考 73
7.2.6 財務預估 74
Chapter 8 結論與預期目標 76
8.1 結論 76
8.2 預期目標 76
參考文獻 78
dc.language.isozh-TW
dc.title加密貨幣交易機器人平台zh_TW
dc.titleCrypto Trading Bot Platformen
dc.typeThesis
dc.date.schoolyear108-2
dc.description.degree碩士
dc.contributor.coadvisor何耕宇(Keng-Yu Ho)
dc.contributor.oralexamcommittee胡星陽(Shing-Yang Hu)
dc.subject.keyword加密貨幣,量化交易,機器人理財,zh_TW
dc.subject.keywordCryptocurrency,Quantitative Trading,Robo-Advisor,en
dc.relation.page79
dc.identifier.doi10.6342/NTU202002684
dc.rights.note有償授權
dc.date.accepted2020-08-10
dc.contributor.author-college管理學院zh_TW
dc.contributor.author-dept創業創新管理碩士在職專班zh_TW
dc.date.embargo-lift2024-04-01-
Appears in Collections:創業創新管理碩士在職專班(EiMBA)

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