Winning Stock Forecast: NVIDIA (NASDAQ: NVDA) Stock Returns 35.35% In 3 Months

Nvidia [Public domain]

Last Year Problems

Nvidia shares had fallen significantly since September 2018. In August, Nvidia excluded the video card for mining from the company’s priorities, citing the negative dynamics of the cryptocurrency market and the decline in demand for graphics processors. Another reason of such decline was poor sales of graphics adapters based on the Turing and Volta architecture. They were too expensive for consumers, while game developers were not hurried to reveal the potential of new products.

winning stock forecast

(Source: Finance.Yahoo)

3DMark Port Royal

Despite the poor sales of new GPUs and video cards for mining, the company continues to release new products

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Day Trading Strategy: An In-depth Analysis of Realistic Back-Tests

Daniel Tal is a Quantitative Analyst at I Know First. He is currently a candidate for his bachelor's degree in Computer Science and Business Management at Columbia University.

  • Implementation of IKF strategy in intraday trading environment
  • Quantopian slippage and commissions models used to simulate real-time trading
  • Data and statistical Analysis of the methods used to gain day trading returns

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Winning Stock Forecast: Destination Maternity Corp. Turns Management Around and Returns up to 161.73% in 3 Months

“I’ve failed over and over and over again in my life and that is why I succeed.” 

-Michael Jordan

(Source: Wikipedia)

Destination Maternity Corporation is a maternity apparel

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Press Release: Yaron Golgher, CEO of I Know First Spoke at Finovate London Conference

Press Release

 

Press Release: Tel Aviv, Israel, March 20th, 2018

– FINOVATE 2018, Conference Date: MARCH 6-9, 2018, London, UK 

Yaron Golgher, CEO and Co-Founder of I Know First was selected to speak Finovate Europe Conference Event as a featured keynote speaker in London. Yaron discussed how artificial intelligence will transform investing. Finovate this year hosted 1400+ attendees, 70+ companies demoing, 120+ expert speakers, and countless opportunities. Finovate annually demonstrates cutting-edge banking, financial and payments technology in a unique, short-form, demo format. After the 70+ demos over the first two days, get advice and insights from another 120+ Fintech experts in a newly expanded programme.

Finovate Europe is the only conference series focused exclusively on showcasing the best and most innovative new financial and banking technologies. Finovate conferences consistently attract large, high-impact audiences of senior financial and banking executives, venture capitalists, press, industry analysts, bloggers, regulators, and entrepreneurs. Finovate’s annual events include FinovateFall (New York), FinovateSpring (San Jose), and FinovateEurope (London). Finovate’s event featured six tracks, making sure that everyone is interested matter what their focus is, including: Banking, Investing, RegTech, New Tech, Payments, Digital Lending.

Yaron presented as a keynote speaker under the “Investing” category (see here for reference) as part of the Digital Investing Summit. To read more about this category, read here.

Below are images of the Finovate London Event where Yaron was invited to speak as a keynote speaker.

 

For more information on this event, visit here.

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I Know First, Ltd. is a financial technology company that provides daily investment forecasts based on an advanced, self-learning algorithm. Thus, the company’s algorithm predicts over 8,000 securities (and growing). Thus, it has capabilities to discover patterns in large sets of historical stock market data.

The underlying technology of the algorithm based itself on Artificial Intelligence. It also based itself on machine learning and incorporating elements of artificial neural networks and genetic algorithms. Moreover, the algorithm generates daily market predictions for stocks, commodities, ETF’s, interest rates, currencies, and world indices for the short, medium and long-term time horizons.

For more information, visit I Know First.

Quick Win by the Algorithm: OCLR Stock Soars After Buyout Deal

Quick Win by the Algorithm:

Source: MC-2 Experience via Pinterest

“I am very pleased that two of the optical industry leaders, Oclaro and Lumentum, will join forces.  Together, we will be an even stronger player in fiber optic components and modules for high-speed communications and a market leader in 3D sensing.  This is a fantastic combination for all of our stakeholders, including stockholders, employees, customers and partners. I am extremely proud of what the Oclaro team has accomplished over the last five years. We have enjoyed tremendous success and this combination will

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Quick Win by the Algorithm: AAXN Products Driving Strong Growth in 2018

Quick Win by the Algorithm:

Source: Axon Enterprises

“We’ve just completed a pivotal year where we changed our company name from TASER International to Axon Enterprise (Axon) to better reflect our go-forward mission and made significant investments to drive progress within our four strategic growth areas. We don’t intend to slow down in 2018. This year, we plan to introduce several new products and services and improve upon our existing suite of offerings – which we believe will grow recurring cash flows and increase average revenue per user. We’re also scaling up our offices across the world and cross-pollinating our internal groups to ensure we execute against one vision for Axon. In short, we are focused on disciplined execution and preparing for significant growth across the globe.”

— Rick Smith, CEO

Axon Reports Record Revenue of $95 million for Q4 2017 and $344 million for FY 2017

Following Axon Enterprises (AAXNS) Q4 quarterly update to shareholders on February 27th, 2018, Axon’s stock jumped from $27.25 to $39.35 per share, outperforming the market by more than 36%. Upon examining the drivers behind this impressive growth that occurred within the past month, the quarterly update to shareholders provides the following highlights and updates that shed light on the stock event:

Axon recorded annual revenue of $344 million, up 28% from 2016 and $82 million of cash and short-term investments and zero debt at December 31st, 2017.
Introduces 2018 financial guidance, including 16%-18% revenue growth and 300-400 basis points of operating margin expansion.
Net Sales increased 15% to $94.7 million in Q4 compared to

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I Know First Sample Portfolio Returns 60.66% in 2013 (1-month predictions)

Sample I Know First Portfolio

Click on the links below to view the predictions and returns for those dates: January 1 2013, February 1 2013, March 1 2013, April 1 2013, May 1 2013, June 1 2013, July 1 2013, August 1st 2013, September 1 2013, October 1st 2013, November 1st 2013, December 1st 2013 Above are the returns from I Know First’s Top 10 Stocks and S&P 500 portfolio that were sent to I Know First subscribers. If an investor had bought all of I Know First’s 1-month, top 10 stock predictions in equal weights on the first day of each month starting on January 1st 2013, he would have earned 60.66%, beating the S&P 500 by 31.27%. This portfolio perfectly illustrates the benefits of the algorithm for inactive investors that are applying a buy-and-hold strategy and looking for long-term appreciation. Even though we advise checking the forecasts daily to identify trends in the algorithm, sometimes it may be better to rely on the learning abilities of the system, as the algorithm is self-learning, and thus live. The resulting formula is constantly evolving, as new data is added each day. For instance, the algorithm began predicting Alcatel-Lucent’s (ALU) rise as early as December 9th 2012 resulting in an actual return of 10.22% from January 1st 2013 to February 1st 2013. Then the algorithm continued to rank ALU consistently in the top 10 stock picks with the strongest signal fit for long position for the following six months even though the actual 1-month returns in February and March were negative, reaching -15.06% and -3.65% respectively. At this time, retail investors that held the stock since the initial prediction may have doubted the algorithm’s efficiency. However, a professional investor would have seen this as the perfect opportunity to buy more ALU stocks at a discounted price. Even while the stock price was declined, the algorithm’s prediction of ALU was consistent and continued considering ALU as one of the best fit for a long position for 1-month holding period. ALU gained 2.26% in April 2013, 22.63% in May 2013 and ultimately resulted in an accumulated return of 118.42% since the initial “buy” signal (December 9th 2012- April 1st 2014). In one year, from December 9th 2012 until December 9th 2013, ALU returned an astonishing 315.45%. In addition to stock recommendations, the algorithm predicts the direction of the S&P 500 as well. In order to compare I Know First’s portfolio performance with the S&P 500, investors must consider the risk-adjusted returns to see if they are being adequately compensated for the risk they are assuming. The goal is to achieve the largest return per unit of risk. The Sharpe ratio measures this risk/return relationship, and is often used to evaluate the performance of a portfolio. The formula for the Sharpe ratio is: E(rp) is the average return of I Know First portfolio σ(rp) is the standard deviation of the portfolio rf is the best available rate of return of a risk-free security (i.e. T-Bills). We will consider it equal to zero since it is very low. Therefore, over the one-year period, I Know First’s Portfolio Sharpe ratio is 1.12 while the S&P 500 has a Sharpe ratio of 0.93. Based on these calculations; I Know First was able to generate a higher return on a risk-adjusted basis. A difference of 0.19 is a solid indicator of why using an algorithmic trading strategy is better than the S&P 500 in terms of risk and return. Since diversification reduces volatility, and the S&P 500 and I Know First portfolio constitute as diversified portfolios, their standard deviations are quite similar. Furthermore, historical performance does guarantee future results. While choosing the investment with the highest Sharpe ratio is logical, diversification and risk aversion should be considered as well. Missed the latest trend? Looking for the next rising stock? Find out todays stock picks based on our advanced self-learning algorithm. Before making any trading decisions, consult the latest forecast as the algorithm constantly updates predictions daily. While the algorithm can be used for intra-day trading the predictability tends to become stronger with forecasts over longer time-horizons such as the 1-month, 3-month and 1-year forecasts.

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