In short it's a trading bot. Why it is different than others who are already in the market. I am not a regular trader but I read there are already bots out there and at some point users lose their confidence. How will you solve this problem?
The type of bot that the OP is trying to promote is a AI based bot if I'm not wrong. But, I don't think that it's possible to earn any profits with such bots if someone doesn't have good trading plans or strategies.
Even if the bot was trained on the data of past 2 years it's still not possible to earn that much profit with that bot in long run. The OP is claiming that the bot can earn around 60% annual profits which is a claim that most people make when they try to promote their bots.
Thank you very much for your comment SamReomo, this gives me the opportunity to explain a little more about the project.
In the Project we focus on solving the main problem when we trade in a financial market, and in this case the evidence is irrefutable, between 80% and 90% of Traders lose money, hence the famous 90/90/90 rule. , 90% of traders lose 90% of their money in the first 90 days. In most trading platforms it is the trader who configures the strategy to be deployed, the trader can use indicators, technical analysis, fundamental analysis, use back testing tools to optimize it by making small changes, however the result is the historically known one.
In the project we proposed the idea of being able to simulate the greatest number of trading strategies possible, for this we created a powerful backtesting engine with the ability to create trading strategies and test it, currently we can carry out millions of simulations of trading strategies per hour In data periods of 24 months, this far exceeds the capacity of humans to carry out these operations. Thanks to the backtesting engine developed, we can optimize the trading strategy to find a statistical advantage over the market and operate. This helped us increase the reliability of the system and today we can have winning trading strategies 70% of the times we operate. We know that markets are dynamic and different patterns are created for which the Bot does not recognize, to solve this the system is open to feed the database and make adaptations to the strategy.
Financial markets are chaotic systems, their complexity and randomness positions them as one of the most chaotic systems that exists, and therefore predicting their behavior is almost impossible in general terms, if for a bot with the ability to create trading strategies and make millions of simulations per hour to optimize it is difficult, as it will be difficult for a human being with his limited ability to create strategies and simulate them, in terms of computing a human being will never be able to beat a computer.