Stock Forecast Based On a Predictive Algorithm (2024)

Stock Forecast Based On a Predictive Algorithm (1)The article was written by Jordan Klotnick, a Financial Analyst at I Know First. He graduated from Monash University with a Bachelor’s in Business – Majoring in Marketing.

NVIDIA stock forecast

Summary

  • NVIDIA company background
  • NVIDIA’s Future
  • Why The Edge?
  • Partners Using NVIDIA’s Latest Tech
  • I Know First Forecast

NVIDIA company background

Nvidia Corporation (NVDA) is in the semiconductor industry and produces visual computing chips. Nvidia’s main products are GPUs (graphics processing units) for the gaming industry and Tegra chips (system on a chip units) for the mobile computing and newly introduced, the automotive market. The main product sectors in Nvidia are gaming, professional visualization, data center, and automobiles.

Source: University Herald

The company has experienced some weakness, with the share falling from its high of $119. One of the main concerns behind this is about its gaming revenue. It will look to bounce back with the latest AI technology.

NVIDIA’s Future

The potential of Artificial Intelligence (AI) is enormous. Nvidia Corporation (NVDA) has announced efforts to put AI intro products that are beyond self-driving cars. With the potential for AI to be embedded in robots, drones and more.

The company is updating an embedded system called the Jetson TX2 that looks to put advanced computing power in a host of devices. NVDA has found success with their AI-enabled systems for cars and servers, raising their stock to new heights. The new and enhanced Jetson device allows developers to embed AI directly into devices, making it more efficient for gadgets to access the greater computing power.

Vice President, Deepu Talla said “the deep learning is able to crunch all this data much, much faster.”

Source: Nvidia

Consumers are getting comfortableknowing that the data from any gadgets they use goes up to the cloud. However, moving forward, most of this data will stick closer to Earth, processed in hardware that lives at the so-called edge – for example, inside security cameras or drones. NVDA is now focused on the edge.

Deepu Talla says in bringing AI technology to the edge, it will make for a new class of intelligent machines.“These devices will enable intelligent video analytics that keep our cities smarter and safer, new kinds of robots that optimize manufacturing, and new collaboration that makes long-distance work more efficient,” he said.

Why The Edge?

There are four main reasons why NVDA chose the edge. These being: bandwidth, latency, privacy and availability. Bandwidth is becoming an issue for cloud processing, mainly for video, as cameras in video applications are moving to 4K resolution.

“By 2020, there will be 1 billion cameras in the world doing public safety and streaming data,” he said. “There’s not enough upstream bandwidth available to send all this to the cloud.” Therefore, processing at the edge will be an absolute necessity.

Source: WP

Latency becomes an issue with robotics and self-driving cars, where decisions have to be made at lightning speed. Privacy, is easier to manage and protect when data isn’t moving around. And availability of the cloud, is an issue throughout the world where communication is limited.

According to Talla, “we will see AI transferring to the edge,” with future application using both edge and cloud processing.

Partners Using NVIDIA’s Latest Tech

There are numerous partners who are using the latest technology from NVDA in their devices. Search and rescue drones, home health-care robots and more devices are all equipped with the system. They demonstrated them at an exhibition last week. Cisco Systems Inc. showed its capability of their hardware collaboration, thanks to NVDA’s Jetson architecture.

A startup from California, Fellow Robotics, showed an updated version of a robot made for Lowe’s hardware stores that can take inventory and make orders automatically, as well as assist customers. The company also refreshed their software development kit, which assists developers take full advantage of their Jetpack 3.0 technology. Talla claims the updated embedded system doubles the performance from its previous version. The updated software doubles its performance, making the new system as much as four times as powerful.

Source: FutureCDN

The developer kit for the new Jetson TX2 will cost $599, education pricing $299; and the price of the previous model, Jetson TX1, reduced to $499.

There are many companies that will benefit from the newest technology of the Jetson TX2. Many of these companies want to distinguish themselves from their competitors. For example, Teal Drones incorporated AI into his drones so that it can understand and react to what its cameras are seeing.

I Know First Forecast

Below you can find the recent forecastfor NVDA. As you can see, we believe the price is too high right now for NVDA. However, we recommend to continue watching the stock to find an opening to buy at a better time.

Previously, I Know First had predicted a bullish forecast on NVDA onDecember 28, 2016at 9.53% in 3 days.

Source: Yahoo Finance

Conclusion

The latest Jetson TX2 by NVDA will provide companies and consumers with the most advanced AI technology. It will help shift from Cloud technology to the edge. Although the I Know First algorithm has predicted a mundane forecast, the recommendation is to continue following the share to find a right time to buy.

To subscribe today to I Know First and start receiving exclusive content and stock predictions, click here.

Stock Forecast Based On a Predictive Algorithm (2024)

FAQs

Is there an algorithm to predict the stock market? ›

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 accurate stock predictor? ›

1. AltIndex – Overall Most Accurate Stock Predictor with Claimed 72% Win Rate. From our research, AltIndex is the most accurate stock predictor to consider today. Unlike other predictor services, AltIndex doesn't rely on manual research or analysis.

What is the AI tool for stock prediction? ›

Hoops AI

It specializes in Machine Learning, AI, Deep Learning, Real-Time Data, and Artificial Intelligence, and covers a wide range of assets such as stocks, currencies, commodities, and cryptocurrencies.

Which method is best for stock market prediction? ›

Prediction methods
  • Fundamental analysis. Fundamental analysts are concerned with the company that underlies the stock itself. ...
  • Technical analysis. ...
  • Machine learning.

Can you mathematically predict the stock market? ›

Yes, no mathematical formula can accurately predict the future price of a stock. Probability theory can only help you gauge the risk and reward of an investment based on facts.

Can GPT 4 predict stock market? ›

The results were telling. With the step-by-step prompts, GPT-4 achieved a prediction accuracy of 60.35 per cent, significantly higher than the 52.71 per cent accuracy of human analysts. Moreover, GPT-4's F1-score, which balances the accuracy and relevance of predictions, also outperformed that of the human analysts.

What is the best indicator to predict stocks? ›

However, if you'd like to get started with technical trading, here are five of the best indicators you can start with.
  • The Simple Moving Average. A simple moving average (SMA) is exactly what it sounds like. ...
  • Bollinger Bands. ...
  • 52-Week High/Low. ...
  • P/E Ratio. ...
  • Parabolic Stop-And-Reverse.
Mar 8, 2024

Which is the most successful stock indicator? ›

Seven of the best indicators for day trading are:
  • On-balance volume (OBV)
  • Accumulation/distribution (A/D) line.
  • Average directional index.
  • Aroon oscillator.
  • Moving average convergence divergence (MACD)
  • Relative strength index (RSI)
  • Stochastic oscillator.

Can you trust stock predictions? ›

While there is no guarantee, the changes in ratings on a company may indicate the direction of their buying patterns. If they start "initial coverage," it may mean that they are considering adding the stock to their portfolios or have already started accumulating the stock.

How accurate is AI stock prediction? ›

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. The study's findings highlight the potential of such technology for the financial market.

What is the best free stock predictor? ›

Zacks (Nasdaq)

Zacks is the best free option for stock screeners. Beginning traders will find that they will be equipped with everything they need to research the stock market and execute timely trades. When traders are ready to upgrade to the premium version, they can easily do so without changing to another platform.

Which AI is best for stocks? ›

Beyond Nvidia: 2 Artificial Intelligence (AI) Stocks to Buy Before They Soar 91% and 154%, According to Certain Wall Street Analysts
  • SMCI.
  • SNOW.
  • NVDA.
11 hours ago

What is the best algorithm for stock 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.

Is there an app that predicts stock prices? ›

The stock predictions app offers numerous advantages to investors and traders. Firstly, it provides users with real-time analyses and forecasts based on data from multiple sources, including financial statements, market news, investor sentiment, and historical stock price trends.

Which regression is best for stock prediction? ›

The best regression models for predicting stock prices and tendencies are Linear Regression, Ridge Regression, Lasso Regression, Polynomial Regression, and Gaussian Process Regression. These models have shown good performance in experiments and are suitable for prediction tasks.

Is there an algorithm behind the stock market? ›

Time-weighted average price (TWAP): These algorithms distribute trades evenly across a set period to attain an average price mirroring the time-weighted average of the stock price. They are employed to minimize market upheaval when putting in large orders.

How do you predict which way a stock will go? ›

We want to know if, from the current price levels, a stock will go up or down. The best indicator of this is stock's fair price. When fair price of a stock is below its current price, the stock has good possibility to go up in times to come.

What algorithm determines stock price? ›

The algorithm of stock price is coded in its demand and supply. A share transaction takes place between a buyer and a seller at a price. The price at which the transaction is executed sets the stock price.

Are stock market algorithms illegal? ›

Yes, algorithmic trading is legal. There are no rules or laws that limit the use of trading algorithms. Some investors may contest that this type of trading creates an unfair trading environment that adversely impacts markets. However, there's nothing illegal about it.

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