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Trading, BNB

BNB broke the four-figure barrier in mid-September, then pushed to fresh all-time highs in October. That move coincided with a sharp pickup in onchain activity. Nansen data shows BNB Chain processed more than 500 million transactions over 30 days and set records for daily active addresses. 

Liquidity followed the flow. DefiLlama tracked BNB Chain decentralized exchange (DEX) volume between roughly $4–6 billion on peak days in October, with PancakeSwap leading the tape. Traders face a firehose of pairs and narratives, and rotations now happen in minutes instead of weeks.

Addresses that sent a transaction on BNB Chain. Source: Nansen

That tempo creates four practical problems.

  • Discovery overload: Thousands of new pairs and micro-narratives appear daily. Traders miss early setups or chase exhausted pumps.

  • Fragmented analytics: DEX prints, deployer graphs, whale traces and social hints live in separate tabs. Decisions are slow, and conviction stays shallow.

  • Execution friction: By the time a user copies a contract, screens holders and picks a route, the price has moved. Slippage and fees stack.

  • Weak retention loops: Most venues do not reward research or consistent activity, which shortens user lifetimes.

BNB Chain’s core metrics show why these gaps matter — its team reports block times cut to 0.75 seconds and finality to 1.875 seconds, so price and flow change faster than most tools allow.

BNB Chain’s memecoin cycle added pressure. Coverage from multiple trackers placed its 24-hour DEX volume above $4 billion on several sessions, at times flipping Solana for the top slot. PancakeSwap’s public dashboards and third-party monitors show deep books and thousands of active pairs, yet most traders still move through a patchwork of tabs. When the market moves at machine speed, users need discovery, analytics and execution in one loop with AI that explains why an entry makes sense.

A single surface for discovery, conviction and execution

Velvet Capital frames that loop on BNB Chain through a DeFAI trading and portfolio stack. The platform presents a unified terminal for crosschain tokens with a BNB-first focus, so traders do not bounce between dashboards. Velvet operates as a trading and portfolio OS that routes orders from a single screen while it pulls the right onchain context for each token.

  • Trenches page — early signal without the noise. A curated BNB view highlights emerging tokens and themes geared for pre-launch and bonding-curve discovery. It surfaces momentum, risk flags, whale footprints and liquidity deltas at a glance. Traders aim for the early curve rather than the late pump.

  • Onchain analytics in one pane. Each token opens with transactions, holder breakdowns and liquidity context on a single screen. Users move from scan to due diligence without losing time to tab hops.

  • Bonding-curve access with guardrails. The terminal adds tools for identifying high-quality curves before pools go live, so users can size entries with rules for slippage, position caps and basic risk checks.

  • Auto-Translation: Velvet has also integrated an auto Chinese-to-English translation, so users don’t miss out on any of the Alpha.

DeFAI copilot: multi-agent AI that explains moves

Velvet’s copilot applies a multi-agent approach. A CEO-agent receives an intent, then routes work to specialists that read the chain, scan narratives, rank momentum and return reasons with support-resistance levels and risk factors. The AI framework documentation outlines this role system and the upgrade path the team shipped in August. The copilot’s job is not only to point at a ticker; it should explain the entry so traders can decide with speed and conviction. The Velvet team is working on making it possible to run an entire strategy with AI.

Trading, BNB
AI support in action. Source: Velvet Capital

Fast entries need a feedback loop. Velvet issues Gems for activity across research and trades, then converts Gems into VELVET tokens on the 10th of each month. The team reported 1,000,000 VELVET distributed on Oct. 10 and again on Nov. 10, and it published program details that describe the monthly conversion rule and epoch cadence. Incentives that track actual participation create stickier behavior and longer user lifetimes.

Built for BNB Chain

Velvet has been shipping on BNB since 2022, when the chain spotlighted the project for making DeFi smoother for everyday users. The team raised $3.7 million in July 2025, led by YZi Labs and Blockchain Founders Fund, and prior coverage identified the project as backed by Binance Labs. Those ties matter on BNB Chain, where throughput and finality favor intent-based execution that compresses time from scan to trade.

The BNB trenches reward speed and context. Traders open the Trenches page for early funnels, pivot into one-pane analytics to confirm liquidity and holders, then ask the copilot for the “why” behind an entry. The same surface routes the swap or bonding-curve action with pre-set guardrails. That loop answers the four core problems — discovery, analytics, execution and retention — without a context switch.

Where agentic trading goes next

The market is expected to continue its acceleration. BNB Chain already shows rising transactions, multibillion-dollar DEX days and record user activity. Agentic trading will meet that pace with explainable AI, human-defined constraints and user custody.

Velvet’s roadmap describes portfolios run by subscribed agents, with every action paired with rationale and onchain attestations that third parties can verify. In that future, traders stay in command while agents scan the flow and size positions at machine speed.

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