Yulia

Right now, AI is a major trend across startups, users, and investment funds.
Many venture capital firms are investing in almost every well-known AI startup simply because it s not worth spending time trying to predict the winner of this race there are too many strong contenders.
At TractionEye, we ve rethought classic copy trading by eliminating its shortcomings. But this raises an important question: how can AI actually improve a trader s PnL and the PnL of their community?
Initially, we considered AI agents managing users capital through trust-based asset management mechanics, operating according to their own trading strategies.
However, after analyzing the market and reviewing trading experiments involving AI models such as Human vs. AI on Aster DEX and AI-versus-AI competitions by @nof1 we didn t find AI models that statistically significantly outperform experienced traders.
Today, AI excels at analytical tasks, but well-balanced, high-quality decision-making should still remain in human hands.
This leads us to an idea where AI acts as a trading analyst analyzing social and market signals and delivering clean, noise-free insights to traders.
Let s think together: how else could AI help improve PnL for both the trader and the community that follows them?
And do we actually need AI in our product right now?
We d really appreciate your thoughts. This will help us build a product people genuinely want to come back to while consistently seeing a positive PnL!