The world of trading often feels like an exclusive game, with Wall Street firms wielding armies of algorithms and data scientists, leaving individual traders to navigate markets with little more than guesswork. True Labs, a startup recently backed by a $10M seed fund, aims to disrupt this dynamic by democratizing sophisticated trading tools.
True Labs is developing two flagship products: True AI, an intelligent LLM serving as a trading engine, and True Trading, a decentralized trading platform. Unlike traditional trading apps, True Labs isn’t just offering fancy charts; it’s creating an AI that learns from every trade it makes.
“We’re not here to replace human traders,” says Ben Bilski, co-founder of True Labs. “We’re building an AI coach that learns alongside you, getting smarter with each market move. Our goal is to make Wall Street-level tools accessible to everyone.”
How True Trading’s AI Evolves
Unlike static AI models like ChatGPT, True Trading’s AI continuously evolves. Every trade, message, or market news reaction feeds into the AI, helping it grow smarter. If the AI makes a poor trade due to a misread market dip, it doesn’t just record the loss; it analyzes the mistake, adjusts its future decisions, and learns from the experience.
Think of it like having a trading mentor who never sleeps, processes thousands of market signals simultaneously, and remembers every mistake it’s ever made. This AI doesn’t repeat errors; it adapts and improves.
Transparency Through Blockchain
Because the platform runs on blockchain, every trade and learning update is recorded openly. This transparency allows anyone to audit the AI’s decision-making process, fostering trust and accountability.
AI as a Behavioral Coach
Beyond technical analysis, True Trading’s AI also functions as a behavioral coach. It monitors traders’ actions and intervenes when it detects psychological pitfalls like revenge trading or overexposure. When these behaviors are detected, the AI provides real-time guidance to help traders make more rational choices.
A New Approach to Trading Algorithms
Most trading algorithms follow pre-programmed rules written by humans, often months or years ago. True Trading’s approach is different; it’s training a living system that adapts to new market conditions in real-time. While traditional algorithms may repeat mistakes during unexpected events, a learning AI system should theoretically improve its handling of such events over time.
True Labs plans to eventually allow the AI to execute trades automatically on behalf of users. The platform also features a copy-trading system, incentivizing successful traders to share their strategies and allowing newer traders to learn from proven approaches.
The Bigger Picture
If True Trading’s learning AI delivers on its promises, it could significantly level the playing field between individual traders and institutional investors. Today, hedge funds enjoy advantages like predictive models and rapid market data access, out of reach for most individuals. True Trading’s vision is to democratize these advantages, making sophisticated trading insights accessible to everyone.
However, there’s still skepticism around AI-powered trading. Even the smartest algorithms can’t predict black swan events or sudden regulatory changes that can tank entire sectors overnight. True Trading hasn’t yet shared performance data, as the platform is still in development. The real test will be whether its learning AI can deliver consistent returns when real money is on the line.
True Trading’s vision is bold and promising. If it can pull off its ambitious plans, it could change how everyone, from hobbyists to professionals, thinks about trading. The platform is set to launch in 2026, and only time will tell if it lives up to its potential.
Join the Conversation
True Trading’s vision of democratizing Wall Street-level AI tools is exciting, but will it actually deliver? Share your thoughts in the comments below or join the conversation on our Facebook and Twitter, especially if you’re already trading or considering getting started.
