Stock Forecast Based On a Predictive Algorithm (2024)

Stock Forecast Based On a Predictive Algorithm (1)The article was written byMotek MoyenResearchSeeking Alpha’s #1 Writer on Long Ideas and #2 in Technology– Senior Analyst atI Know First.

TSLA Stock Prediction

Summary:

  • Based on the analysis of technical indicators and moving averages, TSLA has the upward momentum to hit $400 before this year ends.
  • In spite of Toyota unloading all its Tesla shares, the Artificial Intelligence-powered algorithmic forecasts of I Know First are still very favorable for TSLA.
  • Toyota simply decided to take profit and sell its 2.34 million TSLA shares. Further, Toyota now sees Tesla as a rival, not a partner.
  • Other event-driven catalysts will also propel TSLA to $400. Musk confirmed that the Model 3 prototype is on track for production next month.
  • Tesla also plans to unveil its Model Y semi-truck electric vehicle this coming September. The Model Y is scheduled for commercial release in 2019.

I am reiterating the Buy recommendation I made for Tesla (TSLA) last August. TSLA has returned more than 59% since August 2016, but I’m convinced that it still has enough upward momentum to breach $400 before 2017 ends. My projection is realistic – it is lower than Pacific Crest’s $439 price target for TSLA.

I agree with Pacific Crest’s argument that the upcoming release of the budget-friendly Model 3 is a major catalyst for Tesla’s stock. Elon Musk himself confirmed that production of the Model 3 prototype will start next month. By delivering a retail version of the budget-friendly Model 3 before 2018 ends, Tesla’s stock will continue to outperform Ford (F), General Motors (GM), and Toyota (TM).

(Source: Google Finance)

The outstanding return of TSLA is in spite of Toyota’s recent revelation that it has sold all of its TSLA shares. Toyota used to have as much as 2.34 million shares of Tesla. Toyota now sees Tesla as a threat to its own business. Tesla selling sub-$40k cars will definitely hurt Toyota’s own ambition to become a major electric car vendor.

Betting Big On The Future Profitability Of Tesla

The bulls who are pushing TSLA up (since March) know that a sub-$40,000 electric car can help double-up Tesla’s revenue. The $70k Tesla Model S was the world’s top-selling electric vehicle [EV] last year, beating the much more affordable Nissan Leaf.

(Source: cleantechnica.com)

Tesla is now the gold standard for EVs. It has the same coveted luxury brand power of a BMW or a Porsche. Selling a $37k Model 3 will encourage more people to choose it over the Nissan Leaf or Chevy Bolt. Going forward, Tesla could dominate both the luxury and economy market for electric vehicles. Selling 60k Model S and 120k Model 3 units can indeed double-up Tesla’s 2016 revenue of $7 billion.

The high valuation of TSLA is due to the potential revenue from the mass-market appeal of the Model 3. The attractiveness of Tesla is due to its transformation from an elitist niche luxury car vendor in to a true consumer-centric company.

(Source: Graphic News)

Tesla is a momo ticker that relies on impressive revenue growth rate to attract investors. Since 2012, Tesla has achieved double-digit annual revenue growth. TSLA’s performance largely depends on how fast the company can grow its annual sales.

Source: finbox.io

There’s also the future contribution of the Model Y semi-truck electric vehicle. Musk again promised to unveil the semi-truck Model Y in September. Its tentative commercial launch date is 2019. Tesla will manufacture the Model Y using a new platform and a new factory in another location. Musk expects even bigger demand for the Model Y than the Model 3.

The Model 3 and Model Y could realize Musk’s promise to sell 500,000 cars every year starting 2019. At an average selling price of $40k, 500k car sales/year comes to $20 billion in annual revenue for Tesla. This guesstimate should already be enough to support my $400 price target for TSLA.

However, analysis of monthly technical indicators and moving averages also point out that TSLA still has a great chance to shoot up higher. You do not need to be an expert in technical trading to understand the chart below. The buy trading signals from the exponential and simple moving averages of Tesla are already enough reasons to go long.

(Source: Investing.com)

The market comparative algorithm of Alpha Omega Mathematica also highlights just how strong TSLA’s upward momentum for the last 200 days. Compared to its sector (Consumer Goods) and industry (Auto Manufacturers) peers, TSLA’s momentum factors are very strong.

(Source: getaom.com)

It also helps that Tencent (TCEHY) bought a 5% stake in Tesla last March. Tencent’s backing will greatly help Tesla’s future prosperity in China.

Final Thoughts

I am highly confident that TSLA will hit $400 by end of 2017. It is not yet too late to go long Tesla. The bullish sentiment is like a tidal wave that is overwhelming the sell-side faction. The only thing that could derail TSLA’s trajectory toward my $400 price target is if insiders and institutional holders do profit-taking en masse. Tesla’s float is 62% owned by institutional investors, 22% by insiders/founders like Elon Musk.

My bull case for Tesla is again backed by the positive near and long-term algorithmic forecasts from I Know First. With the 1-month, 3-months, and one-year market trend scores all above 50, there is very low probability that TSLA will suffer a serious and lingering pullback.

I Know First Algorithm HeatmapExplanation

The sign of the signal tells in which direction the asset price is expected to go (positive = to go up = Long, negative = to drop = Short position), the signal strength is related to the magnitude of the expected return and is used for ranking purposes of the investment opportunities.

Predictability is the actual fitness function being optimized every day, and can be simplified explained as the correlation based quality measure of the signal. This is a unique indicator of the I Know First algorithm. This allows users to separate and focus on the most predictable assets according to the algorithm. Ranging between -1 and 1, one should focus on predictability levels significantly above 0 in order to fill confident about/trust the signal.

Past I Know First Success With TSLA

I Know First has been maintaining its bullish forecast of TSLA, such as its bullish article published on January 8th, 2017. The article talks about Tesla’s struggle in the year 2016 and what’s to come in 2017 and beyond. The release of its new car (the model 3) and how it will be more affordable for the average consumer. In the last year, TSLA shares are up 64.23%.

This bullish forecast for TSLA was sent to I Know First subscribers onJanuary 8th, 2017. To subscribe today click here.

Stock Forecast Based On a Predictive Algorithm (11)

Stock Forecast Based On a Predictive Algorithm (2024)

FAQs

What is the best algorithm for stock prediction? ›

The LSTM algorithm has the ability to store historical information and is widely used in stock price prediction (Heaton et al. 2016). For stock price prediction, LSTM network performance has been greatly appreciated when combined with NLP, which uses news text data as input to predict price trends.

What is the most successful stock predictor? ›

AltIndex – We found that AltIndex is the most accurate stock predictor for 2024. Unlike other providers in this space, AltIndex relies on alternative data points, such as social media sentiment and website analytics. It also uses artificial intelligence to convert its findings into risk-averse stock picks.

How accurate are stock analyst predictions? ›

Are Price Targets Accurate? Despite the best efforts of analysts, a price target is a guess with the variance in analyst projections linked to their estimates of future performance. Studies have found that, historically, the overall accuracy rate is around 30% for price targets with 12-18 month horizons.

How accurate is machine learning stock prediction? ›

According to the efficient market hypothesis, it is almost impossible to predict the stock market with 100% accuracy. However, Machine Learning (ML) methods can improve stock market predictions to some extent.

Can I use AI to predict stock market? ›

"We found that these AI models significantly outperform traditional methods. The machine learning models can predict stock returns with remarkable accuracy, achieving an average monthly return of up to 2.71% compared to about 1% for traditional methods," adds Professor Azevedo.

Can ChatGPT predict stocks? ›

ChatGPT is a comprehensive artificial intelligence language model that has been trained to engage in human-like conversations, generate texts, and provide users with answers to their questions. Moreover, it has recently been able to correctly predict stock market changes.

What is the most accurate stock prediction website? ›

Zacks has built a reputation as a reliable source of stock data for investors looking for a stock picking edge, Zacks' free stock screener has almost everything investors need to make well-timed and informed stock picks.

Who is the most accurate stock analyst? ›

Mark Lipacis ranks No.
  • out of the 8,371 analysts tracked on TipRanks. The five-star analyst has an overall success rate of 73%. Lipacis' best rating has been on chipmaker Nvidia (NASDAQ:NVDA). ...
  • Jason Seidl - TD Cowen. Jason Seidl is second on the list and has a success rate of 73%. ...
  • Quinn Bolton - Needham.
Apr 23, 2023

How often are stock market predictions correct? ›

Another study analyzed a dataset consisting of 6,627 forecasts made by 68 forecasters. It found that while some forecasters did “very well,” the “majority perform at levels not significantly different than chance.” Overall, only 48% of forecasts were correct.

How accurate is AI in stock trading? ›

These coded algorithms are quite accurate in their predictions of stocks. Asset management companies deploying AI have been recording accuracy of more than 80% while predicting stock price movements. Comparatively, algorithms have also been found to deliver high efficiency at lower costs.

Why is stock prediction difficult? ›

Firstly, the stock market is highly volatile, making it challenging to accurately predict stock price movements. Secondly, traditional prediction models often overlook the interaction between stocks of different industries, which can have a significant impact on stock market trends.

Which model is best for stock price prediction? ›

A. Moving average, linear regression, KNN (k-nearest neighbor), Auto ARIMA, and LSTM (Long Short Term Memory) are some of the most common Deep Learning algorithms used to predict stock prices.

Which algorithm is best for prediction? ›

  • Time Series Model. The time series model comprises a sequence of data points captured, using time as the input parameter. ...
  • Random Forest. Random Forest is perhaps the most popular classification algorithm, capable of both classification and regression. ...
  • Gradient Boosted Model (GBM) ...
  • K-Means. ...
  • Prophet.
Jan 1, 2023

What is the best indicator to predict stocks? ›

Popular technical indicators include simple moving averages (SMAs), exponential moving averages (EMAs), bollinger bands, stochastics, and on-balance volume (OBV). Technical indicators provide insight into support and resistance levels which may be key in devising a low risk-reward ratio strategy.

What is the best tool to predict stock market? ›

The MACD (Moving-Average Convergence/Divergence) line is the most used technical indicator. Along with trends, it also indicates a stock's momentum. To forecast a stock's future direction, the MACD line analyses its short-term and long-term momentum.

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