Most Accurate Stock Predictor Services Leveraging AI Technology

In this guide, we compare the most accurate stock predictor services in the market today. Read on to discover which AI prediction tools are producing the best returns in 2023.

Pros

• In our view, the overall best stock predictor service for AI recommendations
  
• No manual input is required – just buy the recommendation stocks
• Past performance is solid – average gains of 22% over a 6-month period
• Recommendations are based on alternative data sources
  
• Also offers one of the best stock portfolio trackers for real-time insights
  

Cons

• To replicate AltIndex returns, you'll need the $99/month plan
• Freemium users are limited to 20 dashboard visits
  

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Stocklytics is the go-to platform for AI-driven fundamental research. It has developed a native analysis method known as 'Score'. Here's how it works; Stocklytics aggregates fundamental data from reliable sources such as earnings reports, real-time stock prices, and industry benchmarks.

It then uses AI to extract key metrics surrounding growth, performance, cash flow, and market efficiency. The result is an AI-generated score from 1 to 100. Stocks with a high score are considered undervalued and hence, Stocklytics categorizes them as solid investments. To leverage its findings, investors can diversify across the highest-rated stocks.

In addition, investors might consider offloading stocks with a very low score, as they're considered a 'Sell' by Stocklytics. To complement its Score feature, check out Stocklytics' price predictions. These are also generated by AI, so you'll have a clear idea of what to expect in the coming weeks. In terms of pricing, Stocklytics is free to use.

Pros

• Free-to-use data analytics platform specializing in fundamental research
  
• Extracts financial insights and generates AI scores on thousands of stocks
  
• Highly-scored stocks are considered undervalued
  
• Other features include AI price predictions, alerts, and a stock screener
  

Cons

• Won't appeal to investors who want actionable stock recommendations
  
• Suggests using other research methods to validate its findings
  

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Danelfin is one of the best stock predictors for short-term investment strategies. It has developed an investability score that ranges from 1 to 10. The higher the score, the higher the probability of the stock outperforming the market in the next three months. Conversely, those with a low score are at risk of a market decline.

Investability scores are updated every day and cover thousands of stocks. In fact, not only does Danelfin track all US-listed companies, but also the STOXX Europe 600. There are several different ways to approach Danelfin. Some investors will purchase stocks with a 10/10 rating, as these represent the strongest buys.

Alternatively, Danelfin also offers trading ideas. These come with three investment horizons;
1, 3, or 6 months. Danelfin's trade ideas are not only based on their investability score. But also stock price momentum, market capitalization, and the industry. In terms of performance, Danelfin's portfolio has increased by 191% since early 2017. This beats the S&P 500 by 73%.

Pros

• Has beaten the S&P 500 by 73% since 2017
• Uses an advanced form of AI called 'explainable' artificial intelligence
  
• Trading ideas cover 1, 3, and 6-month time horizons
• Freemium plan gets you 20 stocks and 10 ETFs with the highest scores
  

Cons

• Monthly fees double after the first quarter
  
• Free trial only lasts for 14 days
  

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StockInsights is a newly launched stock prediction software that combines AI with large language models. Rather than send AI stock predictions, it enables users to find their own investments. This is because StockInsights has created a chatbox that can analyze vast data sets in real-time, and make suggestions accordingly.

For example, we asked StockInsights for the best energy stock to buy for maximum gains in the next 10 years. Within seconds, StockInsights extracted data from hundreds of earnings call transcripts, financial reports, news articles, and other fundamental sources. It suggested NextEra Energy as the best option.

StockInsights provided many reasons for its suggestion, including adjusted EPS projections of 10% over the next decade and expanding market share in the clean energy sector. StockInsights can also be used to find small-cap companies operating in specific niches, such as robotics, drone technology, and biometrics.

Pros

• AI-integrated chat box helping investors make smart decisions
  
• Can analyze hundreds of earnings call transactions in real-time
  
• Discover small-cap gems from niche industries
  
• Completely free to use
  

Cons

• Doesn't offer stock price predictions or recommendations
  
• ETFs and other asset classes are not supported
  

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Candlestick is worth considering if you're looking to receive AI stock predictions on your phone. It has developed a user-friendly app for Android and iOS, with subscribers receiving 3 stock recommendations each week. This is a passive option, as no research or analysis is required.

On the contrary, Candlestick tells you which companies to invest in and at what entry price. It also sends a push notification when the investment should be closed. Candlestick claims that its predictions have produced 23% returns since 2022. It doesn't provide information about its accuracy rate or what month the service launched.

This makes it challenging to assess the actual return on investment. Nonetheless, we like that each stock prediction is accompanied by an analysis. This explains why the stock could increase, alongside the risks to consider. Candlestick is competitively priced, charging members just $9.99 per month.

Pros

• Receive 3 AI-backed stock predictions every week
• Recommendations are sent via mobile push notifications
  
• Charges just $9.99 per month
• Easy-to-navigate app for Android and iOS
  

Cons

• 23% returns since 2022 are modest when compared to other services
  
• Limited data on its research methodology
  

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TenViz offers AI-driven solutions for investors looking to maximize their portfolio returns while containing risk. It specializes in cross-asset rotation, a strategy that enters and exits new markets based on broader macroeconomic trends. For example, the TenViz AI protocol might suggest moving capital into US Treasuries when economic factors are uncertain.

And then back into large-cap index funds during times of bullishness. Crucially, TenViz helps investors make the right moves at the right time. It claims to improve portfolio portfolio by 20-25%. Moreover, it claims that its AI and machine learning algorithms predict stock movements before the wider market catches up 65% of the time.

However, we should note that TenViz is aimed at investors with a large capital balance. Its cheapest plan costs $14,990 per year and covers 300 stocks and 20 index funds. For additional markets and features, such as investment themes, leading indicators, and bespoke alerts, prices increase to $47,990 per year.

There are also monthly plans but this increases the fees further. TenViz has developed its own proprietary dashboard, which is available in demo mode. That said, you'll need to complete a call with TenViz to gain access.

Pros

• One of the best investment tools for AI cross-asset rotation strategies
• Helps investors improve portfolio growth by up to 25%
  
• Claims to predict stock movements before the broader markets 65% of the time
  
• Depending on the plan – covers up to 9,000 stocks and 400 index funds
  

Cons

• The minimum annual fee is $14,990
• Need to do a telephone call before accessing its demo platform

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If you're looking to take AI predictions for a test drive, check out Free AI Stock Picker . This service is completely free to use and it distributes stock recommendations every day. You simply need to visit the Free AI Stock Picker website to see which picks are suggested before the markets open.

Free AI Stock Picker specializes in reinforcement learning, which is a subset of AI . It focuses exclusively on stocks listed on the Russell 1000 index. The technology assigns color codes to each stock, which is updated daily and based on over 12 million data points. 'Red Zone' stocks should be avoided, as the AI believes they are in a prolonged downtrend.

Conversely, 'Green Zone' stocks are considered 'Strong Buys'. You can also manually search for stocks on the Russell 1000 to see their assigned color codes. Alternatively, you can simply follow the Free AI Stock Picker portfolio like-for-like. This free-to-use platform does not offer alerts, so you'll need to check back each day.

Pros

• Free AI stock recommendation service
  
• Uses a subset of AI called reinforced learning
• Analyzes 12 million data points every day
• Focuses on stocks listed on the Russell 1000 index

Cons

• Does not offer alerts – you'll need to manually see which stocks it recommends each day
• No information on past performance or accuracy
  

Visit Free AI Stock Picker

QuantumStreet AI offers 360-degree solutions for professional investors. It has developed a proprietary platform that's powered by IBM Watson . It helps investors strike the perfect balance between risk mitigation and profit maximization. QuantumStreet AI extracts and analyzes more than 1 million data points daily.

It covers over 50,000 assets, including US and international stocks. It covers many research subsections to build an overall prediction of future asset prices. This includes social media metrics, financial news articles, and technical data.

QuantumStreet AI also evaluates macroeconomic signals, such as interest rates and employment figures. Prices aren't published on the QuantumStreet AI website – so you'll need to get a custom quote. That said, QuantumStreet AI is used by wealth managers and other institutional investors, so likely won't be suitable for retail clients.

Pros

• AI solutions for institutional clients – backed by IBM Watson
• Extracts and analyzes over 1 million data points daily
  
• Tracks more than 50,000 financial instruments
  

Cons

• Not suitable for retail clients
  
• Prices and past performance are not published
  

Visit QuantumStreet AI

Kavout is another stock predictor service aimed at professional investors. Founded in 2016 and based in Seattle, Kavout offers portfolio management services. Investors need to inject at least $100,000 into one of its funds, which are passively managed.

This will appeal to investors who want to take a hands-off approach, while still gaining exposure to AI research processes. There are two portfolios offered by Kavout, and all stock investments are chosen by AI and machine learning. First, there's the conservative portfolio, which has gained 11.6% annually since early 2020.

The more aggressive portfolio has generated average annual returns of 20.8% over the same period. Both options extract and analyze over 1,000 data categories, including fundamental and technical metrics. Contact Kavout for more information about eligibility requirements and fees.

Pros

• Stock selections are made by AI and machine learning technologies
  
• Passively managed investment portfolios
  
• 2 portfolios to choose from – both outperforming the S&P 500 since inception

Cons

• Minimum investment of $100,000
  
• Portfolio returns based on less than 4 years' worth of data
  

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Tickeron is another top-rated option for investors who want to take a hands-off approach to AI investing. It offers dozens of automated strategies that are powered by trading robots. Your chosen robot will automatically place buy and sell orders on your behalf. Therefore, once you've set up your trading parameters, you can sit back and allow your money to work for you.

One of the most popular AI stock robots on Tickeron is the 'Swing Trader: Sector Rotation Strategy'.This swing trading robot has been active for 673 days and has produced average annualized returns of 44%. It trades US stocks from 22 sub-sectors, including real estate, finance, and consumer services.

Another popular AI robot is the 'Day Trader: Medium Volatility Stocks for Active Trading'.
This day trading robot has a risk-reward ratio of 2:4. This means it risks 2% on each trade to make a 4% profit. In terms of pricing, Tickeron offers two options. First, you can pay $90 per month for 1 active robot. Or, for $145 per month, you'll have unlimited access to all 60+ robots.

Pros

• Automatically trade stocks via AI trading robots
• Multiple strategies to choose from – including scalping and day trading
  
• Some robots have been active for over 2,000 trading days
• No prior investment experience is required

Cons

• 1 active robot costs $90 per month
  

Visit Tickeron

TAAi is one of the best stock predictors for swing traders. It distributes 16 stock recommendations every week, each with an average trade duration of 10-30 days. What's more, TAAi covers both long and short-term positions, allowing members to profit from rising and falling markets.

Each stock pick comes with an entry, stop-loss, and take-profit suggestion. As such, TAAi is suitable for all experience levels. There are three core plans to choose from, depending on which market you want to target. First, the cheapest option – costing $69 per month or $699 annually, targets S&P 500 large-caps.

Second, for $79 per month or $799 annually, you'll get stock picks on small, medium, and large-caps from the S&P 1500 . Third, you can focus on small-caps exclusively from the NYSE and NASDAQ. This plan costs $89 per month or $899 annually. TAAi also offers an all-in-one package that covers all three plans. This costs $149 per month or $1,499 for the year.

Pros

• AI stock predictor aimed at swing traders
• Averages 16 stock recommendations per week
• Covers long and short positions
• 14-day trial available on all plans
  

Cons

• Past performance figures date back to January 2023
• You'll need to actively place buy and sell orders
  

Visit TAAi

Last up is StockHero , an established marketplace for AI stock predictor bots. Its most popular AI bot is called Market Neutral and it trades exclusively on technical data. What's more, Market Neutral is a swing trading bot that rarely keeps positions open for more than a few days. Every month, StockHero provides an overview of the bot's results.

In October 2023, the bot placed 8 trades and all returned a profit. Trade returns ranged from 1.06% to 6.88%. Long and short positions are considered by the bot for maximum returns. StockHero is also popular for its brokerage integrations. You can connect bots to Robinhood, TradeStation, TD Ameritrade, and other popular platforms.

Thereon, the bot trades autonomously on your behalf. In addition, StockHero bots can trade other asset classes. This includes forex and some of the best new cryptocurrencies to buy . Now for pricing; The lite plan costs $4.99 per month and permits 1 active bot. The premium and professional plans – costing $49.99 and $99.99 per month, allow 15 and 30 bots, respectively.

Pros

• Automated your stock trading processes through AI robots
• Choose from over 30 different trading strategies
• Prices start from just $4.99 per month
  
• Connects to many popular online brokers
  

Cons

• You'll need a margin account to facilitate short-selling trades
  
• The $99.99 monthly plan is required for custom backtesting periods
  

Visit StockHero

The best stock predictors ranked above represent just a small share of the overall AI prediction market. Here's how we made our impartial selections:

• Type of AI Predictor Service: No two investor preferences are the same, so we selected a broad range of AI predictor services. This includes AI prediction pure-plays that inform investors of what stocks to buy and when. We also included AI services that offer research assistance, allowing hands-on investors to find suitable opportunities. In addition, some services are aimed at long-term portfolios, while others target much shorter trades.
  
• Time Requirements: Most AI stock predictors streamline the research process, meaning investors aren't required to dedicate much time to their portfolios. This includes AltIndex, which sends real-time stock tips directly to your inbox. That said, some AI predictors simply provide a foundation for your own research; you're then required to use other data sources before making an investment decision.
  
• Historical Track Record: We spent countless hours researching AI stock predictors with the best historical track records. Not only in terms of average annualized returns but also longevity. This is because many AI services are new to the market, meaning their results are based on a short period of time. Ultimately, it's wise to focus on prediction models that have outperformed market benchmarks for several years.
  
• Supported Markets: AI has no limitations when it comes to data aggregation and market analysis. After all, the technology far exceeds what the human mind can achieve. However, not all AI predictor services cover the same stock exchanges. Some focus on large-cap US stocks, while others also analyze international exchanges. Therefore, consider what markets you want exposure to when choosing an AI predictor.
  
  
• Pricing: Even the best stock predictor services charge fees. Prices can vary widely depending on many factors, such as past performance, time in the market, and the features you have access to. Discounts are usually available when purchasing an annual plan, but this isn't advised if you're new to the platform. Regardless, evaluate whether the subscription fee is suitable for your investment budget.
  

It's important to understand how AI stock predictors work before purchasing a subscription.

Here's an overview of the basics:

The specific data sets required by AI depend on the underlying strategy.

For example, some AI stock predictors focus on fundamental data. This means it will extract data from financial reports, quarterly earnings transcripts, and news articles. It might also collect data from regulatory and government websites, such as the SEC, FINRA, or FDA.

Alternatively, the AI predictor might focus on technical data. This includes current and historical stock prices, so it must ensure reliable sources are used. Market capitalizations, volume, volatility, and market depth will also be of interest.

In addition, an increasing number of AI stock predictors are turning to alternative data sets, such as social sentiment analysis and website analytics. This includes AltIndex, which extracts data from Twitter, Reddit, YouTube, Facebook, and other social networks. Data points include page visits, likes, shares, and comments.

Other alternative data sources include insider transactions, employee satisfaction, and credit card transactions. Put simply, data is extracted from non-traditional sources, meaning it offers valuable insights.

AI models are trained to look for notable patterns and trends.

• The data is then packaged together to generate meaningful insights.
• For example, if fundamental data is extracted from quarterly earnings transcripts and financial reports, machine learning determines whether the outcome is positive or negative.
• It can make comparisons with previous financial periods and industry competitors.
  

In the case of alternative data insights from social media, natural language processing is also required. AltIndex uses this tool to analyze millions of different comments and yield an overall sentiment score.

And finally, once the data has been extracted and analyzed, AI technology will begin making predictions. It will apply algorithmic testing models to current market conditions, allowing it to make informed recommendations. This is based on the likelihood of an event coming to fruition.

This is why AI stock predictor services like AltIndex and Stocklytics have developed an AI rating system. Based on all of the data findings and analytical models they have to hand, stocks are rated on their investability.

Highly rated stocks on AltIndex have a high probability of outperforming the market. While not guaranteed, this is based on historical data and backtesting methods. If AltIndex's confidence ratio is high, it will distribute a stock recommendation to its members.

Stocklytics uses a similar model, but stocks are ranked from 1 to 10. More importantly, Stocklytics focuses on fundamental data when making investment recommendations.

If you're still confused about how AI stock predictors work, here's a relatable example using AltIndex.

• Let's suppose AltIndex is analyzing Amazon stock. Considering Amazon relies heavily on its e-commerce marketplace, website analytics and app downloads are important metrics.
• AltIndex finds that Amazon website visits have witnessed a major decline over the prior few weeks. It also finds that app downloads on Google Play and the App Store are down.
  
• AltIndex then analyzes job posting websites. It discovers that new career postings are much lower than Amazon's prior quarter.
  
• All of this suggests that Amazon is going through a challenging period. Through its AI scoring system, AltIndex assigns a bearish rating, highlighting that a declining stock price is likely in the next few months.
  
• Investors then have the opportunity to short-sell Amazon stock before its issues become mainstream.
  
• The entire analytical process is automated, meaning AltIndex users benefit from a passive experience.
  

There are many reasons why AI stock predictors are worth considering. For a start, AI technology can analyze millions of data points concurrently. This includes anything from financial news reports and earnings calls to annual statements, technical indicators, and pricing trends. In contrast, human traders are limited in how much data they analyze.

This means that AI gives you access to more trading opportunities. What's more, the best stock predictor services offer a passive experience. You won't need to research stocks yourself, as you'll typically be told which companies to invest in. Another benefit is that, unlike human investors, AI is emotionless.

It doesn't make irrational decisions – such as chasing losses or holding onto declining stocks. AI also has the capacity to make investment decisions with high accuracy, something that beginners will struggle to rival. For instance, AltIndex stock recommendations have a historical accuracy rate of 75%.

However, AI predictors are not guaranteed to make money – so ensure you consider the risks before proceeding.

For example, consider how AI stock predictors would have performed when COVID-19 was declared a pandemic . In just one trading day, the S&P 500 declined by 12%. Three weeks later, the market was 34% down. Crucially, conventional fundamentals and technical indicators went out the window, meaning AI would have struggled to perform to maximum capabilities.

Moreover, even during normal market conditions, not all AI stock predictors generate returns. Just like a traditional investment fund, there will always be losing trades. But overall, from what we've seen so far, AI will play a major role in the future of stock investing. Just make sure you're diversified across several AI stock predictors to mitigate the risks.

Artificial intelligence is creating a sea-change in the global stock market. Retail investors should take notice, as AI technology offers unprecedented prediction accuracy and speed.

Overall, we rate AltIndex as the best most accurate stock predictor. Its AI recommendations have a 75% accuracy rate, translating into average 6-month returns of 22%. Best of all, AltIndex tells members exactly what stocks to buy, ensuring a passive investing experience.

Visit AltIndex

You can get AI stock predictions from AltIndex, which has a 75% accuracy rate since inception. Other providers include Candlestick, Stocklytics, and Danelfin.

Although AI stock predictions have greater capabilities than human researchers, success depends on the underlying technology. This is because each AI provider will have developed its own proprietary algorithm.

You can get 1 free AI stock pick from AltIndex each month, or up to 25 when signing up for a paid plan. Free AI Stock Picker also offers free stock recommendations.

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