Bybit is widening the scope of its AI Trading Skills Hub again, this time with two additions that push the platform beyond basic execution and deeper into strategy-driven trading. The exchange has rolled out Earn Dual Asset and On-Chain Alpha, giving users and AI agents access to structured yield products and early-stage token trading through natural language commands.
The update matters because it shows where exchange-based AI tooling is heading. Early versions of these systems mostly focused on account actions, market checks and straightforward spot or derivatives trades. Bybit is now trying to move the conversation higher up the value chain, into products that involve timing, yield optimization and faster access to new on-chain opportunities.
In practical terms, that means users can now ask supported AI assistants to subscribe to a Dual Asset product with a target price or execute Flash Trades for early-stage tokens on Solana and Mantle. It is another step toward turning AI from an interface layer into a real trading workflow tool.
What has Bybit added?
The first new module is Earn Dual Asset, a structured yield product designed for traders who want fixed, pre-agreed returns while staying exposed to directional market setups. It works as a higher-yield alternative to leaving funds idle, and in some cases can resemble a more strategic version of a limit-order style market view.
The second addition is On-Chain Alpha, which brings early-stage token trading into the AI hub through Bybit’s Flash Trade functionality. Users can trade tokens on Solana and Mantle while choosing between two execution modes: Priority-on-Success or Priority-on-Price. That choice matters in thin, volatile on-chain markets, where execution speed and fill quality often pull in different directions.
Bybit is also emphasizing visibility. Users can monitor profits from on-chain trades directly inside their Bybit account, which is clearly meant to reduce the fragmentation that usually comes with early-stage token activity.
Investor Takeaway
Why this matters for exchange competition
There is a broader pattern here. Exchanges are starting to compete not only on liquidity and fees, but on how much of the trading stack can be automated or simplified through AI. That matters because traders increasingly want to move between centralized and on-chain markets without switching mental models every time.
Dual Asset gives Bybit a way to keep yield-seeking users inside its ecosystem, while On-Chain Alpha pulls in traders who might otherwise leave the exchange to chase new tokens through separate wallets and interfaces. Put together, the additions make the AI Skills Hub look less like a feature and more like an orchestration layer.
Bybit is also benefiting from timing. The market is at a point where AI agents are no longer just being tested for information retrieval. Traders want systems that can act. The more an exchange can turn natural language into usable trading outcomes, the stickier that environment becomes.
What the Bybit AI Skills stack now includes
With the latest release, Bybit’s AI Skills Hub now spans market data, spot trading, derivatives, Earn products, copy trading, Dual Asset, on-chain token trading, account actions and a set of advanced functions geared toward more active users and institutions.
Module
Capability
User prompt examples
Market data
Real-time price, candlestick charts, order book depth, funding rate, market sentiment, historical volatility, trading rules, announcements, contract delivery price
“What’s the price of BTC now?”, “Analyze ETH trends”, “Show me the BTC order book”
Spot Trading
Market buy/sell, limit orders, cancel all orders, batch orders, order history, spot margin, leveraged tokens
“Help me buy 500 USDT of BTC”, “Sell all my ETH”, “Place a buy order for 1 ETH at 3,800”
Derivatives Trading
Open long/short, set leverage, set TP/SL, conditional orders, close all, switch margin mode, add margin, realized PnL, batch orders
“Open a 10x leverage long on BTC”, “Adjust my leverage to 5x”, “Set TP at 50,000, SL at 75,000”
Earn
Browse products, subscribe, redeem, check yield history
“What flexible savings products are there?”, “Deposit 1,000 USDT into Flexible Savings”, “Redeem USDT from my savings?”
Copy Trading
Retrieve lead traders, copy relationships, manage copied positions, view strategy performance
“Show me top copy traders”, “Copy the strategy of trader XYZ”, “How much have I earned from copy trading?”
Dual Asset
Subscribe to Dual Asset offerings with target price, view positions and returns
“Subscribe to the MNT-USDT Dual Asset product at US$45,000”, “What Dual Asset products are available?”, “Show me my Dual Asset positions and returns”
On-Chain Alpha
Flash Trade early-stage tokens, choose execution priority, track alpha profits on Solana and Mantle
“Show me trending tokens on Solana”, “Execute a Flash Trade for this token with priority-on-success”, “What are my OnChain Alpha profits?”
Account & Assets
Balance checks, account info, fee rates, transfers, deposit address, transaction history, subaccounts, API keys, conversions
“Show me my balance”, “What’s my BTC deposit address?”, “Create a Subaccount”
Advanced functions
WebSocket streams, crypto loans, block trade RFQ, spread trading, P2P trading, institutional loans, broker management, trading bots
“Subscribe to real-time BTC trades”, “Borrow 10,000 USDT”, “Get options block trade inquiry”
Investor Takeaway
What comes next
The bigger question is whether traders will treat these AI tools as a side feature or as a primary interface. Bybit is clearly betting on the second outcome. By bringing Dual Asset and On-Chain Alpha into the same framework, it is trying to make AI useful across both conservative yield strategies and high-speed speculative trades.
That is an ambitious mix, but it also fits how crypto markets actually work. Traders rarely stay in one lane for long. They rotate between spot, derivatives, Earn products and increasingly on-chain assets. If one interface can manage that whole flow, it becomes more than a convenience. It becomes a habit.
For now, Bybit’s latest release suggests a clear direction: the race in exchange AI is shifting from chat-based assistance to full trading orchestration.
