VTrader Eliminates 5% Trading Fees With AI-Powered Crypto Platform

VTrader, a next-generation, no-fee trading platform, is revolutionizing the crypto market by automating trading tools and alpha discovery. The platform, built around on-chain transparency and AI-powered intelligence, aims to eliminate trading fees, which often account for around 5% of the total cost due to the spread and exchange fees. This shift is expected to mirror the transition in retail stock brokerages to zero-fee trading, as predicted by Steve Gregory, the former compliance officer and attorney behind VTrader.

Gregory, who has scaled three major exchanges and helped secure full U.S. money transmission licensing (MTLs) in under a year at CEX.IO, is now focusing on the valuable profit center of trading fees in the crypto industry. VTrader operates on a fee-less trading model, earning yield from user deposits instead of charging trading commissions. This model provides a transparent view of customer balances, permanently verifiable on-chain, and pivots away from the closed, opaque custody models most exchanges still rely on.

VTrader's innovation extends beyond fee reduction. The platform embeds artificial intelligence directly into the trading stack, offering a price prediction engine that forecasts the near-term movement of Bitcoin and Ethereum based on real-time data from news, social sentiment, and technical indicators. This tool supplements users' research and provides confidence when placing trades, with a level of transparency uncommon for AI-powered tools. Users can view how past predictions performed against actual market outcomes, enhancing trust in the system.

One of the most innovative features of VTrader is its focus on "narrative-based alpha." Unlike traditional equities, where fundamentals dominate, crypto often trades on hype, sentiment, and memes. VTrader's upcoming feature will track token popularity, momentum shifts, and sentiment swings across the crypto news cycle, alerting users to actionable signals before they hit the market. This modular, plug-and-play approach to trading intelligence allows traders to stay ahead of the curve.

The VTrader team is also exploring intent-based trading, where users create strategies based on values or themes like green energy or decentralized infrastructure and let AI execute those strategies with discipline. As trading automation becomes more accessible, some critics argue that AI-enhanced tools like VTrader give users an unfair advantage. Gregory disagrees, stating that information asymmetry has always existed, but the goal is to democratize access to better tools. VTrader aims to unlock alpha rather than hide it, providing users with free access to performance data on the AI models, enabling a rare level of openness in an industry often criticized for its opacity.

While AI and predictive tools are central to VTrader's roadmap, Gregory argues that user experience is still the most significant barrier to mass adoption in crypto. The platform aims to make everything look simple on the surface while keeping the complexity in the backend, which is transparent but under the hood. This approach is designed to make users feel at ease using the platform, addressing the technical barriers that often deter new entrants.

As traditional exchanges cling to outdated revenue models and siloed infrastructure, platforms like VTrader are betting that the future of trading is transparent, intelligent, and fee-free. By combining on-chain audibility, AI-powered prediction engines, and real-time narrative tools, VTrader isn't just building a trading platform; it's redefining what it means to have an edge in crypto. The platform's vision is clear: build trust by default and let automation do the heavy lifting, paving the way for a more accessible and transparent crypto trading experience.