Ark ETF Stocks Forecast Portfolio Based on AI: Returns up to 26.85% in 3 Days
Best Biotech Stocks Based on Algorithmic Trading: Returns up to 39.59% in 7 Days in 7 Days
Best Stocks To Buy Based on AI: Returns up to 20.96% in 14 Days
Momentum Trading Strategies Based on Deep-Learning: Returns up to 38.3% in 1 Month
Best Insurance Stocks Based on Data Mining: Returns up to 13.98% in 3 Months
Stock Predictions Based on Big Data: Returns up to 250.86% in 1 Year
Adobe Inc. (ADBE) is up 7.96% since October 15, 2023, due to the company’s financial dominance, marked by consistent revenue growth and superior financial metrics, its recent introduction of innovative AI models like Firefly, and strong market leadership. Additionally, the stock-picking AI of I Know First shows a high signal for Adobe’s positive trend in the one-year market forecast, supporting the bullish outlook for the stock.
Nvidia (NVDA) is up 28.13% since June 8, 2023, due to its history of seasonal success in Q4, a strategic shift from gaming to AI to meet consumer demand, and strong partnerships with major tech companies like AT&T, all of which are expected to contribute to long-term success and outperformance in projected earnings.
Microsoft (MSFT) is up 42.43% since February 3, 2023, due to Microsoft’s $10 billion investment in OpenAI, which is expected to provide Microsoft with exclusive access to integrate ChatGPT features into their software and enhance their competitiveness, particularly in their cloud segment ‘Azure.’
Stock Forecast Based on AI: Profit-Taking Strategy
The trading strategy developed by I Know First, utilizing its AI Algorithm from January 29, 2020, to September 30, 2023, is focused on systematically outperforming the S&P 500 index. This is achieved by constructing a tier-weighted portfolio, with monthly rebalancing, and implementing signal outlier and majority direction filters. The strategy aims to take profits when the portfolio surpasses the index by 1% and then reinvest in SPY until the next rebalance. It boasts a positive return of 115.79%, exceeding the S&P 500 by 84.33%. At the heart of I Know First’s approach is an advanced self-learning algorithm, designed to make accurate stock market forecasts. This system leverages artificial intelligence and machine learning, incorporating chaos theory and self-similarity principles. The algorithm predicts the behavior of over 13,500 markets by analyzing various factors that affect stock prices. This empirical, self-learning model is constantly refined with new data, ensuring no human bias and adaptability to market changes. I Know First offers these insights and investment solutions to institutional investors, tailoring their services to meet specific client needs and preferences.
NVDA Stock Forecast: Will the Company Powering OpenAI Keep Up the Pace?
In recent times, NVIDIA has seen a notable surge in its stock value, largely driven by robust sales forecasts and increased investments in AI-focused technologies. This growth is highlighted in Figure 1, which compares NVIDIA’s performance with its competitors over a 52-week period. NVIDIA’s strategic focus on GPU research over CPUs has played a crucial role in its dominance in the gaming industry and now, in the burgeoning field of AI and machine learning. As a result, the company has seen a significant rise in demand for its GPUs, which are now widely used in global data centers and cloud computing. This shift has led to Datacenter sales surpassing Gaming, contributing to over 50% of Q2 2023 revenues. Furthermore, NVIDIA’s financials reflect strong operational performance with high margins, a conservative risk approach, ample liquidity, and minimal default risk, positioning it favorably among its peers. As NVIDIA continues to innovate in the tech world, its stock valuation presents a complex picture. Despite its operational success and promising future prospects in AI and technology, current valuation analyses suggest that NVIDIA’s stock might be overvalued relative to its operational metrics and industry peers. The Discounted Cash Flow (DCF) analysis and comparable companies’ analysis provide differing perspectives on the true value of NVIDIA’s shares. However, the company’s strategic acquisitions, innovative products, and strong management indicate its potential for continued growth and prosperity for investors in the long run. It’s worth noting that the stock-picking AI of I Know First presents a bullish signal for NVIDIA’s stock, contrasting with the more cautious outlook from valuation analyses.
Algorithmic Trading Market: Booming Evolution and Bright Future
Algorithmic trading has seen a dramatic increase in prevalence since the early 2000s. In the U.S. stock market, its volume grew from 15% in 2000 to over 80% recently, with High-Frequency Trading (HFT) as a notable example of its evolution. HFT has evolved from execution times of several seconds in 2001 to milliseconds, microseconds, and even nanoseconds by 2012. The global HFT server market size was estimated at USD 387.9 million in 2020, reflecting the rapid technological advancements in this area. Algorithmic trading is not limited to equities but extends to commodities, futures, options, and fixed income, with equities holding the largest share in 2016. The benefits of algorithmic trading are significant. It allows for faster, more frequent trades with better pricing opportunities, reducing the need for constant market monitoring. Algorithms can execute trades instantaneously, minimizing human errors and emotional biases. This automated process, once fine-tuned, can avoid repeat mistakes, leading to more efficient and error-free trading. The global algorithmic trading market is projected to grow at a CAGR of 11.23% between 2021-2026, reaching a market size of $18.8 billion by 2024. The demand for skills in algorithmic trading is also high, with numerous job vacancies and competitive salaries in the field. I Know First, a leader in this market, uses AI and Machine Learning algorithms to forecast over 13,500 financial instruments, offering simple yet effective trading insights. Read more.
Quant Hedge Fund: Why Hedge Funds Should Adapt AI Technology To Continue
Hedge funds and investors are increasingly recognizing the need to integrate machine-learning AI algorithms into their trading strategies. This article discusses the evolution of hedge funds since Alfred Winslow Jones established the first modern hedge fund in 1949. Jones’ strategies of short-selling and leveraging laid the foundation for the modern long/short equities model. Today, hedge funds are divided into fundamental and quantitative/technical analysis, with the latter using complex mathematical formulas and computer models to identify market trends. Despite managing over $3.1 trillion in assets, hedge funds are facing challenges due to their traditional methods underperforming the market, partly explained by the Efficient Market Hypothesis. To maintain their market position, hedge funds are now turning to AI-based genetic algorithms. These advanced algorithms can identify market trends by eliminating “”noise”” and adapting through neural networks for deep learning. Hedge funds like Winton Capital Management and Aspect have already seen positive returns from incorporating AI algorithms, even during volatile market events like Brexit. AI algorithms offer a more efficient and less error-prone approach compared to human analysis, making them a crucial tool for hedge funds and active investors to sustain their competitive edge in today’s market.
Algorithmic Trading: The New I Know First Interactive User Interface
I Know First R&D team is happy to announce that we are now supporting a highly interactive user interface to support your strategy and automate processes. This guide will review some of the new features and how to use them.
These new features are available to all annual subscribers.
If you are a monthly subscriber and want to receive these features simply contact our analysts HERE . They will help you with the upgrade and assist you with any remaining questions. Existing annual subscribers can add the new features free of charge, please also contact our analysts for assistance with it.
In alignment with the I Know First AI algorithm forecast, we witnessed a remarkable rally in stocks, marking the best day since May. All 11 sectors of the S&P 500 contributed to this positive momentum, with tech notably outperforming, rising by 2.6%. This surge propelled the major averages for a second consecutive week of gains, with the S&P 500 advancing 1.3%, the Dow adding about 0.7%, and the Nasdaq rising roughly 2.4% over the week.
Our AI algorithm identified several opportunities across various sectors. Notable forecasts include:
In the 3 Days forecast for the Robinhood Trades Package, DKNG, SQ, and PENN all had returns of 21.12%, 12.6%, and 4.12%, respectively. The Robinhood Trades package recorded an overall average return of 3.97%, providing investors with a premium of 2.85% over the S&P 500’s return of 1.12% during the same period. In the 3 Days forecast for the Ark ETF Package, CRSP, CDNA, and CERS all had returns of 26.85%, 11.43%, and 8.8%, respectively. The Ark ETF package recorded an overall average return of 5.03%, providing investors with a premium of 3.63% over the S&P 500’s return of 1.4% during the same period. In the 7 Days forecast for the Biotech Stocks Forecast Package, TGTX, CRIS, and DTIL all had returns of 39.59%, 31.29%, and 27.71%, respectively. The Biotech Stocks Forecast package recorded an overall average return of 14.01%, providing investors with a premium of 9.5% over the S&P 500’s return of 4.51% during the same period. In the 7 Days forecast for the Options Package, IBRX, SPR, and MSTR all had returns of 45.16%, 15.66%, and 13%, respectively. The Options package recorded an overall average return of 11.68%, providing investors with a premium of 5.64% over the S&P 500’s return of 6.04% during the same period. In the 14 Days forecast for the Top 10 Stocks Package, SHOP, GPS, and ASML all had returns of 20.96%, 14.95%, and 8.25%, respectively. The Stock Forecast & S&P500 Forecast package recorded an overall average return of 6.39%, providing investors with a premium of 2.56% over the S&P 500’s return of 3.83% during the same period. In the 3 Months forecast for the Insurance Companies Forecast Package, AIZ, NWLI, and AFL all had returns of 13.98%, 10.24%, and 5.92%, respectively. The Insurance Companies Forecast package recorded an overall average return of 2.39%, providing investors with a premium of -0.11% over the S&P 500’s return of 2.5% during the same period. In the 1 Year forecast for the Computer Industry Package, NVDA, AMD, and CDNS all had returns of 250.86%, 97.91%, and 77.02%, respectively. The Computer Industry package recorded an overall average return of 69.36%, providing investors with a premium of 51.58% over the S&P 500’s return of 17.78% during the same period.
In the crypto space, altcoins took center stage, exhibiting a strong rally. Bitcoin and ether showed significant gains, while Solana, Polygon’s MATIC token, and Cardano’s ADA posted impressive weekly gains. It’s important to note the scarcity of research in the crypto world, and our AI algorithm provides a unique advantage in uncovering opportunities in this rapidly evolving market.
In the 3 Days forecast for the top crypto picks Package, SOL, USD, and THETA all had returns of 34.62%, 28.18%, and 17.12%, respectively. The top crypto picks package recorded an overall average return of 13.7%, providing investors with a premium of 12.57% over the S&P 500’s return of 1.13% during the same period. In the 7 Days forecast for the top 10 cryptocurrencies Package, TEL, USD, and SOL all had returns of 156.74%, 107.65%, and 98.02%, respectively. The top 10 cryptocurrencies package recorded an overall average return of 80.83%, providing investors with a premium of 78.25% over the S&P 500’s return of 2.58% during the same period. In the 14 Days forecast for the top 10 cryptocurrencies Package, TEL, USD, and SOL all had returns of 124.8%, 95.02%, and 75.11%, respectively. The top 10 cryptocurrencies package recorded an overall average return of 51.36%, providing investors with a premium of 47.53% over the S&P 500’s return of 3.83% during the same period. In the 1 Month forecast for the top crypto picks Package, SOL, USD, and LINK all had returns of 95.75%, 91.32%, and 53.38%, respectively. The top crypto picks package recorded an overall average return of 45.73%, providing investors with a premium of 44.83% over the S&P 500’s return of 0.9% during the same period.
Speaking of advantages, the I Know First AI algorithm stands out for its: Predictive Accuracy: Our algorithm is designed to provide accurate forecasts, empowering you to make informed investment decisions. Diversity of Forecasts: From stocks to cryptocurrencies, our algorithm covers a wide range of assets, offering a comprehensive outlook.
Webinar Special Deals: Last week, we hosted a live webinar, showcasing the power of our AI algorithm. If you missed it, this is your last chance to benefit from our special deals. Explore them here .
As we continue to evolve and innovate, our commitment to providing unparalleled insights and opportunities remains steadfast. The I Know First algorithm is trusted by leading financial institutions and individuals alike, and we invite you to explore our packages and join our community of informed investors.
Discover the opportunities waiting for you by selecting one of our tailored packages here .
Warmest Regards Yaron Golgher, CEO
Q&A With I Know First
I Know First’s Daily Market Forecasts And How to Interpret the Numbers
Q. What is the forecast date? A. The forecast date is the date the algorithm released this set of predictions.
Q. What is the time horizon? A. The time horizon is the suggested period of time to hold the suggested stocks. When we calculate the forecast performance, we do so from the forecast date through the end of the time horizon.
Q. What is the S&P 500 stock prediction and why do you include it? A. The S&P 500 is the major US index and is the general indicators for the direction of the US stock market. If the algorithm predicts that the S&P 500 will go up, then it is a good sign that the stock market will generally increase. It helps in decision making. It is generally preferable to go long the Top 10 stocks when the S&P 500 has a positive prediction and to go short the 10 stocks on the bottom of the table when the S&P 500 has a negative prediction.
Q. What is the accuracy (checks and x marks)? A. If the algorithm correctly predicts the direction of a stock’s movement, a checkmark is placed next to the stock’s return and if the algorithm is incorrect in its prediction, an x mark is placed next to the stock’s return.
Q. What is the return? A. The return is the percentage movement of each stock multiplied by 1 if the algorithm suggested a long position or multiplied by negative 1 if the algorithm suggested a short position. In other words, if the algorithm correctly predicts the direction of the stock, the return is the positive percentage change of the stock, and if the algorithm incorrectly predicts the direction of the stock, the return is the negative percentage change of the stock. The return is the last end of the day price at the target date of the forecast VS the price when the forecast was sent (the end of the day price of the previous day).
Weekly Apple Stock Update
Giovanni Pitruzzella, the advocate-general of the European Court of Justice, has recommended overturning Apple’s tax ruling victory in the EU General Court, citing errors in the court’s decision. This recommendation, if followed by the EU tribunal next year, could lead to a reassessment of Apple’s €13 billion tax case in Ireland.
The United States Consumer Financial Protection Bureau (CFPB) is introducing oversight for technology companies like Apple that offer digital wallets and payment apps. The new rule will subject these companies to the same regulations as large banks, addressing increasing consumer complaints and ensuring adherence to financial laws.
LG and Samsung are poised to start mass production of OLED display panels for new iPad Pro models in February 2024. These models, expected to feature OLED displays and an M3 chip, are unlikely to launch before June due to the production timeline. The OLED technology offers benefits such as higher contrast and lower power consumption.
I Know First-Daily Market Forecast, does not provide personal investment or financial advice to individuals, or act as personal financial, legal, or institutional investment advisors, or individually advocate the purchase or sale of any security or investment or the use of any particular financial strategy. All investing, stock forecasts and investment strategies include the risk of loss for some or even all of your capital. Before pursuing any financial strategies discussed on this website, you should always consult with a licensed financial advisor.
