Reasons Why Some People Are All in on AI

Reasons Why Some People Are All in on AI and Will Never Go Back to Manual Trading


Editorial Note: The following content does not reflect the views or opinions of BeInCrypto. It is provided for informational purposes only and should not be interpreted as financial advice. Please conduct your own research before making any investment decisions.

Artificial Intelligence (AI) has completely, and permanently, transformed the world of trading. Retail traders who fail to get on the AI train will be left behind, due the ability of machine-learning trading bots to analyze a wealth of data in real time, managing risk and projecting market trends with superhuman accuracy. 

In this article we’ll be examining few of the main reasons we’re fully on board with AI and are not looking back:

Unmatched Analytical Capabilities

One of the top ways machines can outperform manual traders is with their impressive processing power. An AI trader can analyze huge amounts of data instantly, identifying trends, picking up on patterns and exploiting trading opportunities, all within a split second. A recent study by scholars from the University of Chicago School of Business, initially published in the Financial Times, pitted the popular generative AI model, ChatGPT, against human analysts in projecting the earning potential of 15,000 companies.  Boasting a solid 60% success rate, ChatGPT’s large language models (LLMs) proved to be more accurate at analyzing company statements and predicting their earning potential than human financial professionals.

These days, anyone can access ChatGPT, directly through their phones and every day, more retail traders are using the tool to facilitate their trading.  In fact one popular free AI trading app,  Algosone.ai, uses generative AI models combined with its own proprietary deep learning algorithms to trade on behalf of users, with an astonishing 80% success rate.

AlgosOne’s AI-based bot has been trained on data from a massive selection of sources and analyzes information from across the web to trade across multiple markets simultaneously, and generate a profit.

Immunity to Human Error

We all make mistakes, after all, we’re only human. However, an AI never gets tired, mis-identifies patterns, when performing  technical analysis, or makes bad trading choices based on fear or greed. 

This is why an AI can generate consistent profits, even in the volatile crypto arena, and how AlgosOne can possibly exceed what traders could achieve manually. The amount a user deposits will decide their trading tier and the higher the tier, the better the projected profit bracket. For example, an investment of just $300 will earn 15%-25% a year, while those at the top trading tiers can earn annual returns of over 100%. Since it launched last year, the platform has met or exceeded all its profit targets.

In addition, none of those profits get swallowed up by trading fees. There are no subscriptions, or transaction fees – just a commission, which is only charged on trades that win a profit.

Round-the-clock Market Tracking

Just like the markets, an AI never sleeps. It can monitor multiple assets simultaneously 24/7, remaining vigilant for sudden market shifts, constantly adjusting risk, and never missing emerging trading opportunities.

However, there’s no substitute for human judgment. AlgosOne combines the speed and efficiency of machine learning technology with human expertise. Professional risk management teams work in shifts around the clock to monitor the AI to intervene in the case of flawed data or a black swan event.

Enhanced Risk Management

AI is exceptionally useful for managing risk. A  powerful, machine-learning algorithm is not limited to setting stop-loss and take-profit orders. It can adjust risk parameters on the fly to accommodate dynamic market conditions, learning as it goes from each trade and dataset to mitigate trading risk, increasingly successfully.

At AlgosOne, there are a range of measures in place to mitigate risk, from portfolio diversification and trade size caps  to the allocation of smaller sums for high-risk positions and larger sums for high probability trades.

It’s also worth noting that AlgosOne is fully regulated, meaning that it complies with tough license requirements from ID verification and anti-money-laundering protocols to account segregation and the maintenance of a reserve fund that provides client capital coverage. 

A Level Technological Playing Field 

Another major advantage of generative  AI tools like ChatGPT is that they are making professional- grade tools accessible to everyone, and not just institutional traders. 

Until very recently the most advanced AI trading software was incredibly expensive and far beyond the means of most retail traders. However ChatGPT has enabled users to analyze technical data from incredibly large datasets and program strategies that can then be triggered automatically.

But when it comes to the true democratization of trading AlgosOne can’t be beat. No coding capabilities or financial knowledge is required. Users just sign up for the app and then the AI bot does everything else. It processes and analyzes data, manages risk, as well as developing and implementing trading strategies.

The game changing advantages of AI bots

AlgosOne, as a regulated, user-friendly platform that offers among the highest profits in the industry is ahead of the game. In addition, with the upcoming launch of its AiAo token, later this year,  users will be able to own a piece of the AI model itself and have a voice in the future direction of the platform. For anyone still unsure about diving into AI trading with both feet, AlgosOne offers a 14-day trial, so manual traders can give hands-free trading a go, with zero risk and financial commitment.  

As AI technology continues to develop replacing manual trading, the financial landscape is going to be changed forever. Retail traders with just a few hundred dollars will be competing on par with leading hedge funds and investment funds and that’s why we’re all in on AI.

Disclaimer

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