The First AI-Directed ETF Is Up Over 6% Year-to-Date - Proving Machines Can Make Great Fund Managers?
The First AI-Directed ETF Is Up Over 6% Year-to-Date - Proving Machines Can Make Great Fund Managers?
RED BANK, NJ / ACCESSWIRE / August 25, 2023 / BTD Capital Fund (NYSE:DIP) has shot up over the last two months, pushing its year-to-date gross performance to 6.07% as of this writing. The AI-powered ETF from Kaiju is the first to use AI not just to pick stocks but to actually direct trading decisions and this recent almost uninterrupted rally that began at the end of May demonstrates the potential of what properly curated and directed AI can do for investors.
新澤西州紅銀行/ACCESSWIRE/2023年8月25日/BTD資本基金(紐約證券交易所股票代碼:DIP)在過去兩個月裡大幅上漲,截至撰寫本文時,其今年迄今的總業績已達到6.07%。人工智慧ETF從…怪獸是第一家不僅使用人工智慧挑選股票,而且實際上指導交易決策的公司,最近始於5月底的這輪幾乎不間斷的反彈展示了適當策劃和指導的人工智慧可以為投資者做的事情的潛力。
A Classic Investment Strategy With An AI Edge
具有人工智慧優勢的經典投資策略
Kaiju designed DIP based on the timeless buy-the-dip strategy. The simple strategy requires buying dips-stocks that are temporarily trading below their value-and then selling them when they later rebound. But actually executing this approach can be slow and inefficient in practice. Even with a well-honed research-based strategy, it's simply impractical for a human investor to scan the entire market at all times in search of individual dips.
怪獸設計的DIP基於永恆不變的買入DIP策略。這種簡單的策略需要買入低點--暫時低於其價值的股票--然後在它們後來反彈時賣出。但在實踐中,實際執行這種方法可能會很慢且效率低下。即使有了一個經過精心磨練的基於研究的策略,人類投資者總是為了尋找個別下跌而掃描整個市場也是不切實際的。
This is what made buying the dip an ideal candidate for Kaiju's first AI-powered ETF. It's a purely science-based strategy that relies heavily on pattern recognition and analyzing large quantities of data, two of the things machines are best at.
這就是買入DIP成為怪獸首隻人工智慧ETF的理想人選。這是一種純粹基於科學的策略,嚴重依賴於模式識別和分析大量數據,這是機器最擅長的兩件事。
The AI behind DIP was built on a proprietary buy-the-dip algorithm designed by a team of data scientists, financial behaviorists, mathematicians, and other experts. Then, it was trained on 15 years of intraday market data to find dips and identify the optimal entry and exit signals for trading those dips.
DIP背後的人工智慧是建立在一個由數據科學家、金融行為學家、數學家和其他專家組成的團隊設計的專有買入DIP算法的基礎上的。然後,它根據15年的盤中市場數據進行了培訓,以找到下跌點,並確定交易這些下跌點的最佳進入和退出信號。
Now, the machine scans the entire market, flags the most promising dips for purchase and the human fund manager simply executes those transactions as prescribed by the AI when the portfolio undergoes its daily rebalance. And the ETF's steady 7.36 % growth over the last three months certainly seems to be proof that Kaiju's founder and CEO, Ryan Pannell isn't completely insane for letting a machine direct the trading decisions.
現在,這臺機器掃描整個市場,標記出最有希望的買入下跌,當投資組合進行每日再平衡時,人力基金經理只需按照人工智慧的規定執行這些交易。過去三個月,該ETF穩步增長7.36%,這無疑證明瞭怪獸創始人兼首席執行官雷恩·潘內爾並沒有完全瘋了,他讓機器來指導交易決策。
Not All AI-Powered Investment Tools Are Created Equal
並非所有人工智慧支持的投資工具都是平等的
The terms AI and machine learning are being thrown around so much these days that they're starting to lose all meaning. But to understand what DIP is doing and how it works, it's important to understand what AI actually is.
如今,人工智慧和機器學習這兩個術語被拋來拋去,以至於它們開始失去所有的意義。但要了解DIP正在做什麼以及它是如何工作的,重要的是瞭解人工智慧到底是什麼。
Before all the AI buzz, algorithmic trading was already happening. This approach translated a trading strategy into an algorithm that a computer could execute - but it typically relied on traditional programming, not machine learning. That is, the human investor clearly defined a set of rules, including what technical indicators to check and when to enter or exit a position. The computer just carried out those commands over and over without adapting or learning as it went.
在所有的人工智慧熱潮之前,算法交易已經發生了。這種方法將交易策略轉化為電腦可以執行的算法--但它通常依賴於傳統編程,而不是機器學習。也就是說,人類投資者明確定義了一套規則,包括檢查哪些技術指標,以及何時進入或退出頭寸。電腦只是一遍又一遍地執行這些命令,而不是適應或學習。
Other recent applications of the technology have seen AI being used to recommend stocks and create personalized investment portfolios. But, often, there's no learning involved here either. The AI might be trained on historical data or the latest research on how to build a solid portfolio, but it's usually not generating any new insights. It's just picking out the stocks or designing the portfolio that fits the parameters it was taught.
在這項技術最近的其他應用中,人工智慧被用來推薦股票和創建個性化的投資組合。但是,通常情況下,這裡也不涉及學習。人工智慧可能會接受關於如何建立堅實投資組合的歷史數據或最新研究的培訓,但它通常不會產生任何新的見解。它只是挑選股票或設計符合它所教授的參數的投資組合。
True machine learning enters the picture when you get a computer that can actually adjust its own programming based on new information. It can identify new patterns, draw new connections, and hones its strategy to improve its performance as it goes. That's what DIP does.
當你得到一臺可以根據新資訊實際調整自己的編程的電腦時,真正的機器學習就進入了你的視野。它可以識別新的模式,建立新的聯繫,並在運行過程中磨練其戰略以提高其性能。這就是為什麼浸漬的確如此。
It's built for deep learning via a series of neural networks - interconnected processors that work together sort of like a brain. What makes neural networks so powerful, especially when it comes to complex tasks like making trading decisions, is the way that they can layer information and functions coming from each individual processor.
它是為通過一系列神經網路進行深度學習而構建的--相互連接的處理器像大腦一樣協同工作。神經網路之所以如此強大,尤其是在進行交易決策等複雜任務時,是因為它們可以將來自每個處理器的資訊和功能分層。
In facial recognition, for example, one neural net might be dedicated to detecting noses while others each exclusively detect another feature like mouths, eyes and eyebrows. Then, yet another layer would detect whether all of those features are arranged in a way that indicates a human face.
例如,在面部識別中,一個神經網路可能專門用於檢測鼻子,而其他神經網路可能只檢測嘴巴、眼睛和眉毛等另一種特徵。然後,另一層將檢測是否所有這些特徵都以指示人臉的方式排列。
Similarly, in DIP, each neural net is independently tracking and analyzing billions of data points. Together, they can apply a complex filter of over 25 factors to screen for stocks that are temporarily trading below their mean price and then identify the entry and exit signals to optimize the trade. Above all, they can do all of this in fractions of a second, helping it to capture more dips than a human investor could if they had to do all of this research and trade optimization manually.
同樣,在DIP中,每個神經網路都在獨立跟蹤和分析數十億個數據點。加在一起,他們可以應用超過25個因素的複雜篩檢程式來篩選暫時低於其平均價格的股票,然後識別進入和退出信號,以優化交易。最重要的是,他們可以在幾分之一秒內完成所有這一切,幫助它捕捉到比人類投資者更多的下跌,如果他們必須手動完成所有這些研究和交易優化。
Featured photo by Chris Liverani on Unsplash.
精選圖片由克裡斯·利維拉尼在……上面不濺。
Performance data quoted represents past performance and is no guarantee of future results. Investment return and principal value of an investment will fluctuate so that an investor's shares, when redeemed, may be worth more or less than the original cost. Current performance may be lower or higher than the original cost. Returns for periods of less than one year are not annualized. For the most recent month-end performance, call (800) 617-0004 or visit the fund's website at ww.dipetf.com.
引用的業績數據代表過去的業績,不能保證未來的業績。投資回報和投資的本金價值將會波動,因此投資者的股票在贖回時可能比原始成本更高或更低。目前的性能可能低於或高於原始成本。不到一年的回報不按年率計算。有關最近的月末業績,請致電(800)617-0004或訪問該基金的網站www.dipetf.com。
Investors should consider the investment objectives, risks, charges and expenses carefully before investing. For a prospectus or summary prospectus with this and other information about the Fund, please call (800) 617-0004 or visit our website at dipetf.com. Read the prospectus or summary prospectus carefully before investing.
投資者在投資前應仔細考慮投資目標、風險、收費和費用。有關本基金的招股說明書或概要招股說明書,請致電(800)617-0004或訪問我們的網站dipetf.com。在投資前,請仔細閱讀招股說明書或概要招股說明書。
The Fund is distributed by Quasar Distributors, LLC. Exchange Traded Concepts, LLC (the "Adviser") serves as the Fund's investment adviser. Kaiju ETF Advisors (the "Sub-Adviser") serves as the Fund's investment sub-adviser.
該基金由Quasar Distributors,LLC經銷。交易所買賣概念有限公司(“顧問”)擔任基金的投資顧問。凱聚ETF顧問(“分顧問”)擔任基金的投資分顧問。
Investing involves risk, including loss of principal. The Fund is subject to numerous risks including but not limited to: Equity Risk, Large Cap Risk, Management Risk, and Trading Risk. The Fund is actively managed and may not meet its investment objective based on the Sub-Adviser's success or failure to implement investment strategies for the Fund. The Fund's principal investment strategies are dependent on the Sub-Adviser's understanding of artificial intelligence. The Fund relies heavily on a proprietary artificial intelligence selection model as well as data and information supplied by third parties that are utilized by such a model. Specifically, the Fund relies on the Kaiju Algorithm to implement its principal investment strategies. To the extent the model does not perform as designed or as intended, the Fund's strategy may not be successfully implemented and the Fund may lose value. A "value" style of investing could produce poor performance results relative to other funds, even in a rising market, if the methodology used by the Fund to determine a company's "value" or prospects for exceeding earnings expectations or market conditions is wrong. In addition, "value stocks" can continue to be undervalued by the market for long periods of time. The Fund is expected to actively and frequently trade securities or other instruments in its portfolio to carry out its investment strategies. A high portfolio turnover rate increases transaction costs, which may increase the Fund's expenses. Frequent trading may also cause adverse tax consequences for investors in the Fund due to an increase in short-term capital gains. The fund is new, with a limited operating history.
投資涉及風險,包括本金損失。基金面臨眾多風險,包括但不限於:股權風險、大盤股風險、管理風險和交易風險。該基金由積極管理,並可能達不到其投資目標的基礎上,分顧問的成功或失敗,為基金的投資策略。基金的主要投資策略取決於副顧問對人工智慧的理解。基金在很大程度上依賴一種專有的人工智慧選擇模式,以及這種模式所使用的第三方提供的數據和資訊。具體而言,基金依靠怪獸算法來實施其主要投資策略。如果該模式沒有按設計或預期執行,基金的戰略就可能得不到成功執行,基金可能會失去價值。如果基金用來確定一家公司的“價值”或超出盈利預期或市場狀況的前景的方法是錯誤的,那麼“價值”式的投資可能會產生相對於其他基金糟糕的業績結果,即使在上漲的市場中也是如此。此外,“價值股”可能會在較長時間內繼續被市場低估。預計基金將積極和頻繁地交易其投資組合中的證券或其他工具,以執行其投資戰略。較高的投資組合流失率會增加交易成本,這可能會增加基金的支出。由於短期資本利得的增加,頻繁的交易還可能對基金的投資者造成不利的稅務後果。該基金是一隻新基金,運營歷史有限。
About Kaiju ETF Advisors:
關於怪獸ETF顧問公司:
Kaiju ETF Advisors is a global leader in responsibility curated AI trading strategies. Our flagship ETF (Ticker: DIP) is an actively managed fund powered by Kaiju's advanced, proprietary ARC (AI Risk Containment) system. The first end-to-end ETF curated and directed by AI, DIP seeks to capitalize on market opportunities through buying oversold equities that it expects to experience a mean reversion.
Kaiju ETF Advisors是責任策劃的人工智慧交易策略的全球領導者。我們的旗艦ETF(Ticker:DIP)是一隻主動管理型基金,由Kaiju先進的專有ARC(人工智慧風險控制)系統提供支持。DIP是首隻由人工智慧策劃和指導的端到端ETF,它尋求通過購買超賣的股票來利用市場機會,它預計這些股票將經歷一次均值回歸。
Contact:
聯繫方式:
Deepa Salastekar
deepa.salastekar@kaijuetfadvisors.com
迪帕·薩拉斯特卡
郵箱:deepa.salastekar@kaijuetfvisors.com
SOURCE: Kaiju ETF Advisors
資料來源:怪獸ETF顧問公司
譯文內容由第三人軟體翻譯。