Onchain trading now hits trillions in monthly volume. @LABtrade_ offers a multi-chain terminal, CEX-like speed, and a deflationary revenue system for buybacks and burns. $LAB is a leveraged bet onchain trading. Here's my bull thesis 🧵 ➣ What's @LABtrade_? LAB is a multi-chain trading terminal + browser extension built for speed, smart order execution, and low fees. LAB already supports Solana, Base, Ethereum, and BSC. The $LAB TGE is scheduled for today, Tuesday, October 14, 2025. The team announced that 80% of platform revenue is earmarked for $LAB buybacks, burns, and rewards, a structural flywheel that tightens float as routing grows. LAB has already processed ~$800M in the last 3 months, signaling that the terminal is getting insane traction by traders. IMO, this number can easily be 10x by the end of 2025. ➣ $1 trillion+ monthly onchain trading volume across ecosystems Perp DEXes crossed the $1 trillion/month milestone this fall. Spot DEX volume was $1.43T in Q3 (~$0.5T/month), pushing total onchain trading activity above $1.5 trillion/month across perp + spot. This is exactly the TAM LAB taps as an execution layer/terminal. ➣ 1% market share for LAB is enough to reach $10B+ in routed monthly volume With >$1 trillion/month in perps alone (and ~$0.6 trillion/month spot), 1% share implies $10B–$16B+ monthly flow through the terminal. Even a 0.2–0.5% share drives $2–$8 billion monthly. Considering that the token will strengthen its economy and activity, this is a realistic target until the end of 2025. ➣ 0.5% fee per trade LAB’s 0.5% fee is explicitly documented and ~50% cheaper than the 1% “industry standard” charged by popular Telegram/terminal competitors like Maestro and BONKbot, etc. Lower friction is a durable acquisition wedge in high-velocity trading. ➣ 80% portion of platform revenue cycled back monthly The team has communicated a clearly described deflationary design that routes ~80% of revenue back into buybacks/burns and reward pools. This creates a sustainable flywheel Volume routed UP → Fee revenue UP → 80% buybacks/burns & rewards UP → circulating supply DOWN & incentives UP → more routing. ➣ Here's my Base case for the immediate post-TGE activity $200M × 0.5% = $1M gross 80% to buyback/burns/rewards ≈ $0.8M of monthly token sink/flywheel. If we assume that over time, LAB will capture 0.5% of total onchain trading volume, we can assume: $8b/m → $40M/y fees → ~$32M/y buyback/rewards ➣ Final Thoughts The idea is simple: a massive onchain tide, an execution-first router, and a low take that funnels most revenue back into the asset, turning usage into structural demand. If distribution keeps growing and volumes compound, the flywheel becomes reflexive. In that scenario, price doesn’t just react to growth; it’s engineered by it.