DeepTrading.AI Review - Is This Research Platform Legit? (2024)

DeepTrading.AI Review

  • Ease of Use
  • Quality
  • Value

3.1

Summary

DeepTrading.AI is a stock research platform that aims to predict the price of stocks up to a year into the future. This research platform makes use of a deep learning-based AI algorithm to predict stock prices over multiple time frames ranging from 1 day to 12 months. Learn everything you need to know about this stock research platform by reading our complete DeepTrading.AI review.

Pros

  • Stock price predictions over timeframes up to 12 months
  • Covers 250 large-cap stocks from all market sectors
  • Calculates accuracy for its predictions over multiple timeframes

Cons

  • Low accuracy for most stocks and most prediction timeframes
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  • No way to sort stocks based on predicted gain/loss
  • Doesn’t offer a free trial with limited predictions

DeepTrading.AI is a stock research platform that aims to predict the price of specific stocks up to a year into the future. The service uses a deep learning-based AI algorithm that’s trained on historical price data.

While the idea behind DeepTrading.AI is attractive, the platform’s predictions have a mixed track record. Keep reading our DeepTrading.AI review to find out if this predictive tool can help you find profits.

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DeepTrading.AI Pricing Options

DeepTrading.AI offers two plans: Basic and Advanced.

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The Basic plan costs $34 per week, $59 per month, or $641 per year. It allows you to see predictions for stock prices up to a week into the future.

The Advanced plan costs $49 per week, $95 per month, or $1,030 per year. It unlocks 1, 2, 3, 6, and 12-month price predictions.

DeepTrading.AI doesn’t offer a free trial, but you can use the weekly plans to try out the software. It also offers a free daily price prediction for the Dow Jones Industrial Average.

How Does DeepTrading.AI Work?

DeepTrading.AI uses a deep learning model to predict the price of stocks. It offers predictions over multiple timeframes, including:

  • 1 day
  • 2 days
  • 1 week
  • 1 month
  • 2 months
  • 3 months
  • 6 months
  • 12 months

The platform offers predictions for a limited selection of 250 large-cap stocks. The stocks that DeepTrading.AI covers are all from the NYSE and NASDAQ exchanges, and include the top companies in every market sector. DeepTrading.AI isn’t trying to help you discover new stocks, but rather predict the prices of stocks that already see a lot of trading volume.

Using DeepTrading.AI is pretty simple. You can add stocks to your personal dashboard and see a chart of how DeepTrading.AI’s daily price prediction matches up against the actual close price for the past four weeks. DeepTrading.AI also displays the accuracy of its daily predictions for that stock.

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Each stock page displays a table with all of the current price predictions for that stock. A chart shows how the predictions have matched up to actual prices for each prediction interval. However, the stock page doesn’t give an accuracy for each timeframe. You have to go back to the stock selection tool in the dashboard to see weekly, monthly, and 3-month accuracy for each stock.

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DeepTrading.AI doesn’t actually show a stock’s current price or the percent gain/loss that a prediction represents. This is somewhat frustrating because it means you have to calculate the percent gain/loss on your own for every prediction.

There’s also no way to sort stocks based on which tickers have the greatest predicted gains for any time interval. Having a way to run a basic screen based on predicted performance would make DeepTradnig.AI a lot more user-friendly.

🏆 Top Rated Services🏆

Our team has reviewed over 300 services. These are our favorites:

📈 Best Day Trading Service
Investors Underground
🎯 Best Stock Scanner
Trade Ideas
📉 Best Stock Charts
TradingView
💰Best Stock Picking Service
Motley Fool
đŸ“±Best Mobile Broker
Webull
📊 Best for Stock Research
Seeking Alpha

DeepTrading.AI offers an enormous data table with all price predictions the platform has ever made for the stocks it tracks. It’s not clear how traders would use this table, but it’s nice that the platform is transparent about its historical predictions.

Are DeepTrading.AI’s Predictions Accurate?

DeepTrading.AI measures accuracy based on whether its models correctly predicted the direction of a stock’s price over a given prediction timeframe. This is a more lenient way to calculate accuracy than requiring the platform to correctly predict prices to within a certain error bound.

Still, DeepTrading.AI has an accuracy rate between 50% and 65% for most stocks over most prediction timeframes. For example, for Ford stock, DeepTrading.AI’s accuracy rates are:

  • Daily: 54%
  • Weekly: 50%
  • Monthly: 55%
  • 3-month: 51%

That means that the software is correctly predicting the direction of a stock’s price movement over these timeframes only about half the time. Considering that a 50% accuracy rate equates to a coin flip, this performance isn’t inspiring.

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DeepTrading.AI has performed better for some stocks. For example, the software has an 80% accuracy rate for 3-month predictions for ConocoPhillips stock and a 79% accuracy rate for 3-month predictions for Etsy stock.

Overall, though, no stock or prediction timeframe had an accuracy rate higher than 85%. Accuracy typically declined over shorter timeframes.

Platform Differentiators

DeepTrading.AI isn’t the only platform trying to predict stock prices using AI models. WalletInvestor offers similar predictions, but over timeframes up to five years. The models that both platforms use to predict stock prices are black boxes, so it’s impossible to know how the factors they consider differ.

That said, DeepTrading.AI is somewhat unique in telling users how accurate its predictions are for each stock. Many prediction platforms simply throw out a price forecast with no information about how likely that prediction is to come true. DeepTrading.AI’s predictions may be less than perfect, but you can at least use the accuracy data to decide which stocks and which timeframes to trust the predictions for.

What Type of Trader is DeepTrading.AI Best For?

While the premise behind DeepTrading.AI is appealing, the platform’s predictions aren’t consistently accurate enough for most traders to use effectively.

Without a higher accuracy rate, you can’t safely use the predictions on their own to make buying and selling decisions. Even if you combine the predictions with other data points, you run the risk of using DeepTrading.AI to confirm a decision you’ve already made. This confirmation effect can lead you to miss red flags during your analysis.

DeepTrading.AI could be useful as an idea generation tool if it offered a way to sort stocks based on their predicted gain/loss over different time intervals. However, without this feature, it’s difficult to use the platform to quickly find stocks that the models suggest could be promising.

DeepTrading.AI Review - Is This Research Platform Legit? (2024)

FAQs

Is anyone making money by using deep learning in trading? â€ș

Yes. Absolutely yes.

It has a lot of opportunity since the field is new and the method has not become overused yet and we expect robust profits from Deep Learning in the next five to ten years. Read this paper on Deep learning in Trading.

Which AI trading platform is best? â€ș

The Top AI Trading Platforms Ranked

WienerAI: Groundbreaking AI trading platform, providing real-time market insights. Perceptrader AI: Innovative AI-powered solution, boasting advanced features that can maximize trading performance. Coinrule: Enjoy algorithmic trading without learning a single line of code.

Is it legal to use AI for stock trading? â€ș

Using AI to trade stocks is legal. However, financial institutions must remain compliant with any regulations when relying on AI-based trading, and individuals may want to keep in mind the potential risks of AI trading tools.

Does AI trading software really work? â€ș

These AI-driven platforms can analyze vast amounts of market data at incredible speeds, identifying trends and insights that would be impossible for humans to discern unaided. In doing so, they serve as powerful tools for risk management, strategy development, and automated execution of trades.

Has anyone got rich from trading? â€ș

However, the successful traders who do make money can make a lot of money. One of the most famous examples of a forex trader who has gotten rich is George Soros. In 1992, he famously made a short position on the pound sterling, which earned him over $1 billion.

Did anyone become rich by trading? â€ș

Many people have made millions just by day trading. Some examples are Ross Cameron, Brett N. Steenbarger, etc. But the important thing about day trading is that only a few can make money out of day trading and the rest end up losing their entire capital in day trading.

What is the success rate of AI trading? â€ș

These advanced models, capable of analyzing large amounts of data, including financial performance indicators such as income, cash flow, and expenses, can make highly accurate predictions about market movements with a success rate of over 90%.

How to make money with AI trading? â€ș

7 Ways To Use AI To Improve Your Investing Strategy
  1. Stock Picking. ...
  2. Risk Management. ...
  3. Algorithmic Trading. ...
  4. Portfolio Optimization. ...
  5. Sentiment Analysis. ...
  6. Data Interpretation and Predictions. ...
  7. Personalized Investment Advice.
Dec 6, 2023

Do banks use AI for trading? â€ș

1 Advanced Algorithms: Banks are increasingly adopting advanced AI and machine learning algorithms to enhance the capabilities of trading bots, enabling them to analyze complex data sets and adapt to changing market conditions more effectively.

What is AI trading for beginners? â€ș

AI trading uses algorithms and machine learning techniques to identify patterns and trends in the market, reducing the risk of human error and increasing the accuracy of trades. AI trading can help traders to identify opportunities that may have been missed by traditional trading methods, resulting in higher profits.

How do I start AI trading? â€ș

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.

Can you make a living off trading bots? â€ș

Conclusion. Trading bots have the potential to generate profits for traders by automating the trading process and capitalizing on market opportunities. However, their effectiveness depends on various factors, including market conditions, strategy effectiveness, risk management, and technology infrastructure.

What are the disadvantages of AI trading? â€ș

Lack of transparency: The inherent complexity of AI algorithms can render their decision-making processes opaque to traders. This lack of transparency can breed uncertainty, particularly when AI-driven trading systems execute actions that appear counterintuitive or unexplained.

What is the truth about AI trading? â€ș

It's possible, but it's not always a sure thing. Just like any kind of investing, there are risks. The AI is really good at looking at patterns and making quick decisions, which can sometimes lead to making money. But, it's important to remember that sometimes it might not work out, and that's okay!

How profitable is AI trading? â€ș

AI trading bots are highly effective in the forex market. They use advanced algorithms to analyze market trends and identify profitable trading opportunities. These bots can execute trades automatically, without the need for human intervention. This makes them highly efficient and profitable in the forex market.

What is the most profitable trading system? â€ș

One of the ways beginners can implement the most profitable trading strategies effectively is by embracing the buy-and-hold strategy. This involves researching companies with solid fundamentals and stable earnings, then holding their stocks for a long time without being swayed by short-term market fluctuations.

Is ml trading profitable? â€ș

In summary, while it is possible to make money from using machine learning in a trading strategy, it requires a significant amount of expertise, careful testing and validation, and an understanding of the competitive nature of financial markets.

How profitable are trading algorithms? â€ș

Is algo trading profitable? The answer is both yes and no. If you use the system correctly, implement the right backtesting, validation, and risk management methods, it can be profitable. However, many people don't get this entirely right and end up losing money, leading some investors to claim that it does not work.

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