How you can use AI to pick stocks like the pros (2024)

Forget about how Artificial Intelligence (AI) tools might upend the world of student essay writing. The big news is how AI can now transform the way retail investors pick stocks, giving them the kinds of tools that used to be available only to deep-pocketed hedge funds and other institutional investors. So I’ve taken a look at a new AI-driven analytics tool to see how it works.

What’s the new tool?

It’s an analytics platform from a financial tech company called Danelfin, and it uses AI, machine learning, and other big-data tools to give regular investors access to the kind of information that institutional investors have.

See, when you’re thinking about investing in a particular stock, you probably weigh its fundamentals, technicals, and maybe sentiment indicators. You might even consider a combination of factors. Well, whatever your preferred measures, AI can massively boost your ability to process all that information. And Danelfin, which offers both free and premium paid plans, can do that hard work for you. Its AI analyzes 10,000 stock features per stock per day, based on more than 600 technical, 150 fundamental, and 150 sentiment indicators. That’s way more than a human could ever hope to process.

How you can use AI to pick stocks like the pros (1)

Sample of the hundreds of indicators used. Source: Danelfin.

What’s cool about this platform is that it takes into account a huge amount of data and from that, it spits out an easy-to-understand global AI score, which ranges from 1 to 10. Stocks with the highest AI scores (7 to 10) have a higher probability of outperforming the market in the next 30 to 90 days, while stocks with the lowest AI scores (1 to 3) have a lower probability. For US-listed stocks, the benchmark is the S&P 500 index, and for European stocks, it is the STOXX Europe 600. Danelfin produces a ranking for the largest 1,000 stocks by market capitalization in the US, so it’s a whole universe to choose from.

What does it tell us about, say, Tesla?

You can crunch the AI score in many different ways, ranking the probability of beating the market solely on the fundamental, technical, and sentiment subscore indicators, according to your preference. And because the data workings are transparent, you can look under the hood for individual stocks, see what factors are impacting their price, and check out their historic AI scores. Let’s have a look at Tesla (TSLA), for example.

How you can use AI to pick stocks like the pros (3)

Tesla Danelfin AI score. Source: Danelfin.

The current ranking for Tesla is a 3, a sell rating, as its strong fundamental score is outweighed by its low technical and sentiment scores. Here’s Tesla’s score, viewed over time.

How you can use AI to pick stocks like the pros (4)

Tesla Score Evolution. Source: Danelfin.

According to its evolution, or its history, Tesla’s AI score fell below 7 in early November –so if you were following its recommendations, you would have sold out of any long positions you were holding then. And you’d now be steering clear of any new long positions until Tesla’s AI score improves to 7 or above, indicating a probability that Tesla might outperform the S&P 500 again. So in theory, for now at least, you’d be better off investing in the S&P 500 index tracker than in Tesla. Just remember this predictive AI is trying to create alpha, the outperformance of the benchmark –not absolute return.

So, what stocks does the tool rank high right now?

At any given time, you can see which stocks Danelfin AI rates as most likely to outperform their benchmarks over the next 60 days. Let’s start with the US ones.

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Danelfin AI top 10 US rankings. Source: Danelfin.

Here are the top European ones.

How you can use AI to pick stocks like the pros (6)

Danelfin AI top 10 EU rankings. Source Danelfin.

It is no real surprise that oil and gas companies occupy many of the top slots on both sides of the Atlantic, since they’re enjoying the benefits of strong oil prices. In the US, the other companies making the list include chemical firm Dow (DOW US), FedEx (FDX) Verizon (VZ), and Kroger (KR). In Europe, there are a wider variety of sectors represented. BHP (BHP), Unilever (ULVR), Munich Re (MUVGn), Zurich Insurance (ZURN), AB InBev (ABI), Christian Dior (DIOR), and Nestle (NESN).

How do the Finimize analysts’ “ideas for 2023” score?

I thought it’d be fun to look at AI scores for some of the Finimize analysts' team “top ideas” for 2023.

How you can use AI to pick stocks like the pros (7)

Finimize analyst 2023 US-listed stock picks. Sources: Danelfin.

But here, I ran into some of the limits to Danelfin asset coverage: the platform provides AI scores for stocks and sectors, but doesn’t cover ETFs or crypto. So instead, I included some sector rankings.

How you can use AI to pick stocks like the pros (8)

Top AI scores for US sectors. Source: Danelfin

Some of the stock picks from the Finimize team boast strong AI scores, but others don’t –and that’s not entirely surprising. See, AI-related data can give you an important piece of the puzzle, but it won’t show you the whole picture. With their years of financial market experience, Finimize analysts already use fundamental and technical analysis in formulating their ideas –and are able to cast their eye across a long view or a short one. Danelfin AI looks only at the probability of performance versus the index on a 30- to 90-day basis –it’s not equipped to look long term. Still, with a huge data set like this, there are countless ways to use this information, find interesting investment ideas, and potentially improve your returns.

How you can use AI to pick stocks like the pros (2024)

FAQs

How to use AI for stock selection? ›

AI stock picker software uses predictive analytics to forecast stock prices based on historical data, market trends, and other relevant factors. By analyzing a huge volume of information, AI can recognize patterns and trends that human analysts overlook, providing more accurate predictions.

Can you use AI to predict stocks? ›

If you also want to build a more resilient investment portfolio with risk-adjusted returns, you may consider using AI models and tools to predict stock prices with better accuracy. Get in touch with a professional AI development company to build AI-powered tools for forecasting stock market movements.

Is AI better at picking stocks? ›

The use of AI for picking stocks is still in its infancy, but it is rapidly evolving. While the technology may be more sound compared to relying on social media stock tips, for example, AI-assisted investing tools have thus far shown mixed results and appear best suited for experienced and professional traders.

What is the best AI for trading stocks? ›

The Top AI Trading Platforms Ranked

Coinrule: Enjoy algorithmic trading without learning a single line of code. SMARD – A smartphone-based automated crypto trading bot using a momentum effect algorithm. OKX Trading Bots: A range of pre-built bots used by over 360,000 global traders.

How to use ChatGPT for stock trading? ›

So here are six smart ways to use ChaptGPT to analyze a stock.
  1. Gain a high-level understanding of a company.
  2. Perform a SWOT analysis.
  3. Summarize earnings calls.
  4. Evaluate a company's ESG credentials.
  5. Generate code to backtest buy and sell signals.
  6. Identify key risks.
  7. Looks good, but what are ChatGPT's limitations?

What are the best AI tools for investing? ›

Hoops AI, Option Alpha, Wealthfront

According to Prince, some of the most useful tools to help trade include platforms such as Hoops AI, Option Alpha and Wealthfront, with each platform serving different purposes and appealing to different types of investors.

What is the best AI model for stock prediction? ›

LSTM, short for Long Short-term Memory, is an extremely powerful algorithm for time series. It can capture historical trend patterns, and predict future values with high accuracy.

What is the most accurate stock predictor AI? ›

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.

Which algorithm is best 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.

How do I start AI trading? ›

Pick your platform and place your AI trade
  1. Search for and select your opportunity.
  2. Choose 'buy' to go long or 'sell' to go short.
  3. Put in your position size.
  4. Set your stops or limits to help manage your risk.
  5. Place your deal and monitor your position.

How accurate is AI in the 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.

How accurate is AI trading? ›

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.

How much does AI trading software cost? ›

Pricing: The cost of AI trading software can vary depending on the features and functionality that you need. Some basic software packages may be as low as $50 per month, while more comprehensive packages can cost upwards of $500 per month.

Is machine learning good at predicting stocks? ›

With recent research trends, a popular approach is to apply machine learning algorithms to learn from historical price data, thereby being able to predict future prices. The scale demonstrates predictive power on historical stock price data that outperforms other methods due to its suitability for this data type.

How is AI affecting the stock market? ›

AI algorithms in stock trading have enabled traders to make better decisions and enhance their trading strategies leading to increased profits and reduced risks.

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