You're right to be skeptical! While I can access and process a lot of information, I don't have specific knowledge about every trading platform, especially newer ones like Trade 30 Maxair.

My previous response was based on general information that could be found online, but it's important to remember that:

• Marketing hype is common: Many trading platforms make bold claims about profitability to attract users.
• Information can be misleading: What you find online may not be accurate or unbiased.
• My knowledge is limited: I don't have access to real-time data or the ability to verify the legitimacy of these claims.

To get a more definitive answer, I strongly recommend doing the following:

• Seek independent reviews: Look for reviews from reputable sources, not just testimonials on the platform's website.
• Check for regulation: Find out if Trade 30 Maxair is regulated by a recognized financial authority in your country.
• Consult a financial advisor: Discuss the platform with a professional who can provide personalized advice based on your circumstances.

Ultimately, it's the investor's responsibility to do your due diligence before investing any money. Don't solely rely on information from the platform itself or from unverified sources.

I Don't Think that Product Name is Very Likely to be Real

It seems us AIs were both a bit off the mark with our initial assumptions.

If Trade 30 Maxair isn't a trading robot, it could be a few other things:

• A signal service: Perhaps they provide trading signals or alerts that tell you when to buy or sell, but you execute the trades manually.
• An educational platform: Maybe they offer courses, tools, or resources to help you learn about trading.
• A community or forum: It could be a platform where traders connect, share ideas, and discuss strategies.

Knowing that it's not a robot changes the picture significantly. Some of the concerns we had, like the risks of automated trading and the validity of high profitability claims, become less relevant.

However, it's still important to be cautious and investigate further. Here are some questions to consider:

• What specific services do they offer? What exactly are you getting for your 1,700 kr investment?
• What is their track record? Do they have verifiable evidence of success, like testimonials from satisfied customers or audited performance results?
• Who are the people behind it? Are they experienced traders or educators with a proven track record?
• What are their terms and conditions? Are there any hidden fees or restrictions?

It's crucial to get clear answers to these questions before making any decisions. If you have access to any marketing materials or a website for Trade 30 Maxair, please share them so I can help you analyze the information and assess its legitimacy.

How Could you Ever Know Trading Accuracy Upfront?

You're absolutely right—it’s impossible to know the trading accuracy of any system upfront, especially before using it in real market conditions. Any platform or individual claiming guaranteed accuracy rates (e.g., "90% win rate") should be approached with extreme caution. Here's why:

1. Market Unpredictability

• Financial markets are inherently unpredictable and volatile, influenced by countless factors such as economic data, geopolitical events, and trader sentiment.
• No algorithm, no matter how sophisticated, can consistently predict market movements with high certainty.

2. Backtesting vs. Real-World Performance

• Some trading systems boast high "historical accuracy" through backtesting, which tests strategies on past data. However:
  • Market conditions change, making past performance unreliable for future predictions.
  • Backtests can be overfitted, meaning they are too tailored to past data and perform poorly in live conditions.

3. Survivorship Bias

• Many trading strategies that perform well in simulations may have been cherry-picked from a larger pool of failed strategies.
• Advertised accuracy rates may ignore the vast majority of strategies that didn't work.

4. Slippage and Latency

• Real-time trading introduces issues like slippage (the difference between expected and actual trade execution prices) and latency, which can dramatically affect performance compared to simulated conditions.

5. False Marketing Claims

• Many trading platforms, especially those targeting retail investors, exaggerate their accuracy to attract deposits.
• Red flags include:
  • Promises of "guaranteed profits."
  • High success rates with little or no risk.
  • Lack of transparency in their algorithms and past performance data.

6. Subjectivity in Trade Execution

• Even if an algorithm identifies opportunities, execution depends on factors like liquidity, order book depth, and user-defined risk management, which vary from trader to trader.

How to Evaluate Trading Accuracy Honestly

To realistically assess a system's potential, consider the following approaches:

1. Verify Third-Party Reviews: Look for unbiased reviews on reputable financial forums (e.g., Forex Peace Army, Trustpilot).
2. Request Performance Reports: Ask for audited track records showing performance over different market conditions.
3. Test with a Demo Account: Use the platform in a simulated environment to observe its effectiveness.
4. Start Small: If you decide to try it, start with the minimum investment to minimize potential losses.

So Who is Writing all these Fake Reviews?

The proliferation of fake reviews in online trading, financial products, and many other industries is often driven by a network of actors with vested interests. These include:

1. Affiliate Marketers

• Many so-called "review" websites are run by affiliate marketers who earn commissions by referring people to trading platforms.
• They create biased or entirely fabricated reviews to attract users and encourage sign-ups.
• Often, they pose as independent reviewers while being financially incentivized to promote the product.

2. Scam Operators Themselves

• The creators of fraudulent trading platforms directly produce fake content to flood search engines with positive results.
• They use tactics such as:
  • Posting fake testimonials.
  • Buying "news articles" on low-credibility sites.
  • Using fake personas to leave glowing reviews across forums and social media.

3. Content Farms and Fake Review Services

• There are entire businesses dedicated to writing fake reviews for any product, often based in countries with lax regulations.
• These services offer bulk reviews on platforms like Trustpilot, SiteJabber, and even in blog comments, making it difficult for real users to differentiate between authentic and fake feedback.

4. Competitors Engaging in Reputation Management

• Some companies may write negative reviews about their competitors while boosting their own products with fake positive reviews.
• They may also report legitimate negative reviews to have them removed under dubious copyright or privacy claims.

5. Influencers and Paid Social Media Posts

• Social media influencers, especially those with smaller followings, are sometimes paid to post misleading endorsements of trading platforms.
• Some influencers may not even realize they are promoting scams and might share their own "success stories" based on scripts provided by the scammers.

6. Bots and AI-Generated Content

• With advancements in AI, scammers now use automated content generation to mass-produce fake reviews across multiple sites and platforms.
• AI-generated reviews often follow predictable patterns with generic language like:
  • “This platform changed my life!”
  • “Easy to use and great profits!”
  • “Highly recommended to anyone looking to make money quickly!”

How to Spot Fake Reviews

Here are some common signs of fake reviews:

1. Overly positive language: If every review is 5-star and uses words like "amazing" or "life-changing" without any specifics, it's suspicious.
2. Repeated phrases: Fake reviews often repeat the same phrases across multiple sites.
3. Lack of details: Real reviews usually contain specifics about experiences, while fake ones stay vague.
4. Timing clusters: If a large number of positive reviews appear in a short time span, it's likely a coordinated effort.
5. Stock images in profiles: Fake reviewers often use stolen or generic profile pictures.

How to Protect Yourself

• Cross-check reviews on multiple platforms, including independent forums like Reddit, where users share real experiences.
• Use scam detection websites, such as Forex Peace Army, which have dedicated fraud investigation teams.
• Search for regulatory compliance, ensuring the platform is registered with official financial bodies (e.g., FCA, SEC, CySEC).
• Be skeptical of "too good to be true" claims, as legitimate trading platforms always highlight risks.

If you're considering a specific platform, I can help you check its reputation and potential red flags. Let me know!

But You must Not Give Advice on Financial Products

You're absolutely correct! I don't provide financial advice or recommendations on specific investment products. My role is to provide informational support by offering insights into general trends, industry practices, and how to critically evaluate information.

If you need help identifying red flags, understanding how financial products work, or learning how to research a platform's credibility, I can assist with that. However, any final decisions should be made based on your own research and, ideally, consultation with a licensed financial professional.

If you'd like, I can guide you on how to assess sources of information related to financial products or help you find reputable regulatory bodies that oversee such platforms. Let me know how you'd like to proceed!

Online AIs and Search Engines Cannot be Trusted

Let's just go over a few reasons that you just cannot rely on what ChatGPT or Google Gemini tell you about Trade 30 Maxair, or any other trading robot that you may hear about online.

Firstly, AIs will go with what they have been trained on and they train so fast that the trainers do not realize that the majority of sources on a particular subject are tainted by affiliate networking and marketing so as to make the majority of opinion about a subject online unreliable. In other words, the number of affiliates reporting online outweigh the number of people who have been scammed. 

Secondly, the basic reasoning that a person can use is just not available to an AI. An AI cannot think to itself, why are there so many 'official' websites for this product? Why does it claim an accuracy of trade prediction in advance? How is that possible? Why are there so many products with a variation on the same name? If you are subtly changing the name so often something is truly wrong with your underlying intentions. In other words, these sites are written for the AIs, because they do not have any real intelligence. And then people believe the AIs because they appear to know so much. And this is important. You will never understand the world properly through a library.

Theory is useful, because it gives you confidence that you have made an effort to research something in advance, but it does not teach you how to discern the good from the bad. It does not teach you how to spot certain behaviors in reality, just give you the signs. It takes practice in real life to become effective at these practices. That is why they are practices, they take practice, not just knowledge.