I Know First Weekly Review Algorithmic Performance: November 19th, 2023

I Know First
Weekly Newsletter | November 19th, 2023

Good morning, I Know First universe.
We’re happy to share our best article and stock prediction of the week:
  • Top Trade Ideas – Ark ETF Stocks Forecast Portfolio Based on Big Data: Returns up to 60.17% in 14 Days
I Know First AI-Predictive Algorithm Has Increased Conviction In These 5 Stocks – View Them HERE

Need To Know First!

  • Top Robinhood Stocks Based on Stock Prediction Algorithm: Returns up to 44.62% in 3 Days
  • Top Stock Picks Based on Big Data: Returns up to 12.99% in 7 Days
  • Ark ETF Stocks Forecast Portfolio Based on Big Data: Returns up to 60.17% in 14 Days
  • Tech Stocks To Buy Based on Stock Market Algorithm: Returns up to 33.37% in 1 Month
  • Top Technology Stocks Based on Big Data Analytics: Returns up to 22.14% in 3 Months
  • Home Builders Stocks Based on Big Data Analytics: Returns up to 140.29% 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.
  • Builders FirstSource, Inc. (BLDR) is up 48.68% since April 4th, 2023, due to its EPS increase in the last two years, coupled with the underinvestment in the US housing market, indicating potential growth opportunities.
  • Cadence Design System (CDNS) Stock is up 51.39% since January 23, 2023, despite the company’s strong operational performance and high-quality nature, the current high valuation multiples, such as price/sales and price/earnings, are overcooked and trading above industry averages, suggesting a potential upcoming multiple contraction amidst an uncertain economic climate, leading to a short-lived uptrend but little room for error operationally.

Weekly Winning Forecasts

3 Days
Biotech Stocks: 35.86% Return
Top 10 Stocks: 15.11% Average
Robinhood Trades: 44.62% Yield

7 Days
Stocks Under $10: 47.12% Yield
Top 10 Stocks: 12.99% Return
Biotech Stocks: 28.40% Average

14 Days
ARK ETF: 60.17% Yield
Stocks Under $5: 142.40% Return
Top 10 Stocks: 21% Average
1 Month
Tech Stocks: 33.37% Return
Top Stocks: 23.53% Yield
Dividend Stocks: 46.79% Average

3 Months
Tech Giants: 22.14% Yield
Dividend Stocks: 76.04% Return
ETF Forecasts: 18.02% Return

1 Year
Home Builders: 140.29% Return
Computers: 200.02% Average Mega Cap: 214.46% Yield

7 Days: 53.60% Return
14 Days: 169.89% Return
1 Month: 163.69% Return

3 Months: 137.50% Return
1 Year: 123.79% Return
☆ Top 10 Stock Picks For December 2023 Based On AI Algorithm ☆

Snippets From Our Top Blog Posts For The Week:

Stay Ahead Of The Curve: AI Weekly

Crypto Predictions: AI’s Expedition into the Cryptocurrency Investment Universe

On a philosophical level, cryptocurrency aligns with ideals of personal liberty, privacy, and a healthy skepticism of centralized control. It’s incredibly versatile, serving as a means of exchange for online and cross-border transactions, a store of value akin to traditional assets like gold, and the powerhouse behind smart contracts on blockchain platforms, enabling seamless, intermediary-free agreements. With cryptocurrencies stored in digital wallets and transactions executed electronically, they’ve shaken up the investment landscape. These digital assets offer the potential for high returns and heightened volatility, luring investors seeking diversity beyond conventional stocks and bonds. Cryptocurrency is not just a currency; it’s a thrilling financial frontier rewriting the rules of the game. Cryptocurrency has transformed into a thrilling, recognized financial asset class. It’s no longer a fringe concept it’s like trading stocks, bonds, or commodities. Crypto prices are influenced by a multitude of factors. It’s a dynamic dance between supply, demand, and investor sentiment. Regulatory shifts, technological advancements, and broader market dynamics can all send shockwaves through the market. Ultimately, a cryptocurrency’s value is tied to its adoption and usefulness within the ecosystem. Today, cryptocurrency is the embodiment of volatility, offering thrilling price journeys. Just look at Bitcoin’s rollercoaster ride, starting at $3,661 in 2019 and soaring to majestic heights of $61,243 and $64,469 in 2021, only to dip to $31,533 and $16,464 in 2021 and 2023. It’s a financial thrill ride like no other. In fact, our Cryptocurrencies forecast based on big data had returns up to 53.6% in https://iknowfirst.com/cryptocurrencies-forecast-based-on-big-data-returns-up-to-53-6-in-7-days 7 Days , and our Best Cryptocurrencies to invest in based on genetic algorithms had returns up to 169.89% in 14 Days .

Read more.

Stock Forecast Based on AI: Combined Equity and Best Industries Strategy

The following trading strategy was developed using I Know First’s AI Algorithm daily forecasts from January 21st, 2020, to June 26th, 2023, with a focus on S&P 500 stocks. This strategy, available to institutional clients like hedge funds, banks, and investment houses, involves constructing a tier-weighted portfolio of equity and GICS level 2 ETFs with monthly rebalancing. The strategy utilizes a signal filter and a signal outlier filter to exclude stocks with extreme values and controls the majority direction based on the count of long versus short stock forecasts. In this strategy, the portfolio is adjusted based on the prevailing market direction. When the majority direction is long, the portfolio comprises 90% stocks and 10% in the best three Level 2 industries. Conversely, in a short majority direction, the portfolio includes 90% long positions in stocks and 10% in SPY, with a 20% short position in stocks held in cash. The strategy yielded a positive return of 166.72%, surpassing the S&P 500 return by 133.31%, reflecting its effectiveness over the period from January 21, 2020, to June 26, 2023.

Read more.

Artificial Intelligence Trading – Assault On Financial Sector: AI Is Beating Many Stock Pickers

The stock market exchange is increasingly embracing Artificial Intelligence (AI) and automated trading, where computers execute trades based on predetermined rules. This shift towards algorithm-driven investment management is outperforming many human stock pickers. Advances in big data, cloud computing, and processing speeds have propelled firms into this new AI era in finance. Notable examples include IBM’s Watson supercomputer assisting in stock-picking for a new ETF, BlackRock shifting to automated trading patterns, and major institutions like UBS AG and Goldman Sachs integrating AI into their trading strategies. According to Greenwich Associates, three-quarters of banks and financial services companies will utilize AI within the next 12 months, with nearly one-fifth already implementing the technology. AI algorithms in trading offer higher investment growth rates, transparency, and exceptional liquidity. The Equbot with Watson AI Total US ETF, utilizing IBM’s Watson, is an example of AI-driven stock selection based on a decade of historical data, capable of processing over a million pieces of information daily to select stocks likely to benefit from current economic conditions and trends. This AI technology is reducing the need for human equity research analysts and making automated trading more cost-effective and consistent.

In fact, our stock market predictions based on AI had returns of up to

46.79% in 1 Month , in great part thanks to GPS (GAP), which jumped by 30% on Friday. Read more.

AI In Options Trading: Bet On The Data

Options are financial derivatives that grant the right, but not the obligation, to buy or sell a security at a specified price (strike price) within a certain time frame. Call options allow the purchase of the security, while put options provide for selling. American options can be exercised at any time during their validity, unlike European options which are limited to their maturity period. For example, holding 100 stocks of Company A, currently at $100 each, one might worry about a potential market slump. To hedge against this, a 3-year option contract can be bought, allowing the sale of these stocks at $80 each, providing insurance against possible losses. Hedging is a common use of options, but speculative strategies are also prevalent. For instance, if one anticipates a rise in Company B’s stock, they could buy options, offering a cost-effective way with more leverage if the stock price increases. Conversely, expecting a price drop, one might acquire options to sell at a high price and then buy cheaper after the decline, profiting from the contract. The price of options depends on the market price of the underlying asset, its volatility, and time until maturity. Volatility is categorized as historical (based on past data) or implied (an estimate of future fluctuations). For instance, high implied volatility could occur amid rumors of a new product launch by Company A, due to potential market impact.

Using AI to take advantage of high implied volatility, our Options Outlook based on machine learning saw returns of up to 20.35% 46.79% in 1 Month  in 3 Days.

Read More.

AI Stock Forecast: Fighting the Irrational Crowd by Investing Through AI

In the investment world, herding behavior is common, where investors often gravitate towards similar assets merely because others are doing the same. This can lead to biased investment decisions based on group consensus rather than logical reasoning. Additionally, investors tend to exhibit loss aversion, preferring to avoid losses over realizing gains. This natural tendency can influence investment decisions and result in missed opportunities or additional losses. In this context, ensuring objectivity is crucial, and this is where artificial intelligence (AI) can be instrumental. AI helps to overcome human biases and limitations in financial decision-making, offering a more objective and comprehensive view of investment opportunities. AI algorithms, capable of deep machine learning, can identify patterns and trends beyond traditional methods, uncovering invisible investment opportunities and managing risks more effectively. For instance, AI can spot patterns that improve data mining and analysis, moving beyond the limitations of technical and fundamental analysis. The I Know First predictive algorithm uses AI and machine learning to analyze over 13,500 markets, demonstrating the capability of AI to provide valuable investment insights and forecasts. This advanced approach enables investors to capture opportunities and manage risks in ways not possible with traditional human analysis alone.

Read More.

Want to learn more?

Letter from the CEO

Dear Readers,

In accordance with the AI-powered forecast , the S&P 500 added an impressive 2.2%, the Nasdaq surged about 2.4%, and the Dow closed the week with a 1.9% advance. Notably, this marks the first three-week win streak for the Dow and S&P 500 since July, and the first since June for the Nasdaq.

November has been nothing short of spectacular, with the S&P 500 up 7.6%, the Dow gaining 5.7%, and the Nasdaq leaping an outstanding 9.9%. The week’s advance was broad, with the S&P 500 Index equally-weighted outperforming the S&P 500 by 1%. Value and small-cap indexes also exhibited strong performance.

Our AI algorithm identified several opportunities across various sectors.

Notable forecasts include: In the 3 Days forecast for the Robinhood Trades Package, BLNK, GPRO, and SQ all had returns of 44.62%, 17.38%, and 9.32%, respectively. The Robinhood Trades package recorded an overall average return of 11.09%, providing investors with a premium of 9.11% over the S&P 500’s return of 1.98% during the same period. In the 3 Days forecast for the Top 10 Stocks Package, EXPE, BLNK, and TWLO all had returns of 15.11%, 13.99%, and 7.99%, respectively. The Top 10 Stocks package recorded an overall average return of 3.95%, providing investors with a premium of 1.63% over the S&P 500’s return of 2.32% during the same period. In the < 7 Days forecast for the Top 10 Stocks Package, SQ, SHOP, and DKNG all had returns of 12.99%, 11.41%, and 9.54%, respectively. The Top 10 Stocks package recorded an overall average return of 5.14%, providing investors with a premium of 2.9% over the S&P 500’s return of 2.24% during the same period. In the 7 Days forecast for the Stocks Under $10 Package, OCX, MYO, and CDNA all had returns of 47.12%, 35.68%, and 28.61%, respectively. The Stocks Under $10 package recorded an overall average return of 14.47%, providing investors with a premium of 10.64% over the S&P 500’s return of 3.83% during the same period. In the 14 Days forecast for the Ark ETF Package, ETF, CDNA, and CRSP all had returns of 60.17%, 47.01%, and 19.12%, respectively. The Ark ETF package recorded an overall average return of 19.08%, providing investors with a premium of 14.54% over the S&P 500’s return of 4.54% during the same period. In the 14 Days forecast for the Stocks Under $5 Package, MYO, BNED, and CRIS all had returns of 142.4%, 27.72%, and 25.48%, respectively. The Stocks Under $5 package recorded an overall average return of 19.35%, providing investors with a premium of 12.97% over the S&P 500’s return of 6.38% during the same period. In the 1 Month forecast for the Tech Stocks Forecast Package, SNAP, LOGI, and PINS all had returns of 33.37%, 17.43%, and 15.84%, respectively. The Tech Stocks Forecast package recorded an overall average return of 11.1%, providing investors with a premium of 7.74% over the S&P 500’s return of 3.36% during the same period. In the 3 Months forecast for the Tech Giants Stocks Forecast Package, SNPS, NOW, and KLAC all had returns of 22.14%, 16.56%, and 12.79%, respectively. The Tech Giants Stocks Forecast package recorded an overall average return of 6.29%, providing investors with a premium of 4.7% over the S&P 500’s return of 1.59% during the same period.In the 1 Year forecast for the Home Builders Package, BZH, MHO, and PHM all had returns of 140.29%, 126.4%, and 97.99%, respectively. The Home Builders package recorded an overall average return of 67.21%, providing investors with a premium of 54.62% over the S&P 500’s return of 12.59% during the same period.

Unlocking Opportunities with I Know First Algorithm: Our algorithm, with its high predictability and conviction, continues to be the trusted choice for leading hedge funds, banks, family offices, and high-net-worth individuals. The advantages of using I Know First include:

Be First to Unlock Exclusive Opportunities: Explore Our Black Friday Deal 2023 Now! Be the trailblazer! Seize the exclusive Black Friday Deal and gain immediate access to our premium AI-powered opportunities for the week ahead. It’s your chance to harness the full potential of our cutting-edge algorithm at an unmatched, limited-time offer.

Why Wait? Dive into the Advantages:
1. Precision: Our algorithm’s accuracy ensures you stay ahead of market trends.
2. Diversity: Explore opportunities across sectors, from tech to finance.
3. Customization: Tailor your investment strategy based on your unique preferences.
4. Timeliness: Access real-time forecasts to make informed decisions.
Explore Packages, Reap Rewards:

Ready to elevate your investment game? Choose from our diverse packages and embark on a journey where opportunities meet innovation.

Best 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

In recent Apple Stock News, Apple has decided to pause advertising on social network X, previously known as Twitter, following Elon Musk’s antisemitic remarks. This decision aligns with actions taken by other companies, including IBM and the European Union, and comes despite Apple’s prior resumption of ads after resolving earlier conflicts with Musk. In other developments, Apple’s in-house development of a 5G modem is facing delays, now expected to launch in late 2025 or early 2026, due to challenges in matching Qualcomm’s performance and concerns about patent infringement. Meanwhile, the iPhone 15 models, equipped with Qualcomm’s X70 modem chip, are experiencing up to 54% faster 5G download speeds compared to the iPhone 14. Additionally, Apple plans to introduce a new thermal system in the iPhone 16 to address overheating issues, possibly using a graphene thermal system and metal battery casings for better heat dissipation. Read more.
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