Discover 15 AI prompts for crypto trading via Bybit AI Hub. Execute trades, analyze markets and manage portfolios using natural language.

AI has evolved from a mere research tool to become an essential element of cryptocurrency trading. Today, you no longer need complex coding skills to harness the power of algorithmic execution. Previously, direct API trading demanded technical know-how such as SDK setup and endpoint management, keeping programmatic market access out of reach for most retail traders.

 bridges this gap by allowing you to trade crypto using natural-language instructions via AI assistants like ChatGPT, Claude, Gemini, OpenClaw or Cursor, with zero installation required. This powerful tool integrates directly with 254 API endpoints, enabling you to execute trades, manage portfolios and analyze markets just by typing a sentence. By translating everyday language into secure trading commands, Bybit AI Hub turns your preferred chatbot into a fully capable trading terminal.

How to write effective AI trading prompts

Prompt clarity directly shapes output quality and execution accuracy

. AI models follow your instructions exactly, so vague prompts can cause unintended results. To achieve the best outcomes, you need to structure your crypto trading prompts using these four fundamental rules:

Bybit AI Hub covers six major modules: Market, Spot, Derivatives, Earn, Account and Advanced. Below are the best AI prompts to get you started with crypto trading on Bybit.

Before entering any position, you must grasp the broader market context. The Market analysis module helps you distill large volumes of data into actionable insights. Instead of checking multiple charts manually, you can command the AI to deliver a real-time snapshot of market sentiment and price action.

 usually requires manually applying tools to a chart to identify patterns and potential entry points. AI simplifies this process by evaluating price data and returning specific indicator values on demand, allowing you to gauge momentum and trend strength instantly.

 involves buying and selling digital assets for immediate delivery. In fast-moving markets, the time it takes to navigate an exchange interface can mean missing an optimal entry price. AI allows you to execute trades instantly, supporting everything from straightforward market buys to complex batch orders.

 lets you capitalize on both rising and falling prices with 

 demands close attention to margin and risk parameters. The AI interface allows you to open positions, adjust leverage multipliers and set risk controls in a single command.

Active trading requires constant awareness of your available capital and exposure across different accounts. The

, enabling you to audit your recent trading behavior, check your balances and move funds internally to keep your capital agile and deployable.

Your idle assets can generate passive income, even when you’re not actively trading. 

 offers various yield-generating products, and AI Hub makes it incredibly simple to discover and subscribe to these plans directly through your chat interface.

Benefits of using AI prompts in cryptocurrency trading

Risks and limitations of AI trading prompts

AI prompts drastically reduce friction, helping traders analyze markets, generate strategies and manage portfolios more efficiently. By turning natural language into executable commands, the barrier to programmatic crypto trading has been entirely removed.

These tools are highly capable decision-support systems, but they should never be treated as fully autonomous, infallible trading machines. In order to navigate the crypto markets safely, always make sure to combine AI efficiency with strict personal risk management and disciplined research.

Ready to try natural language trading? Explore 

Beginner

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15 best AI prompts for crypto trading

Learn how to use AI prompts on Bybit AI Hub to make smarter, faster crypto trades. Step-by-step guide for beginners.

AI assistants have moved beyond research and code generation and are now being used to execute trades, monitor positions and manage portfolios in real time. Until recently, these tasks required API keys, SDK configuration and at least a working knowledge of how exchange endpoints are structured. Most retail traders have never crossed that barrier.

 is a unique AI-based interaction layer that removes this obstacle. Instead of connecting to an exchange programmatically, you can paste a single prompt into any AI assistant, such as ChatGPT, Claude or Gemini. Then, the assistant loads a full trading skill to analyze the market, provide your account overview or execute orders across Bybit’s 

 products. No installation or developer setup is needed. The AI becomes the interface, translating natural language into live exchange calls across Bybit's API trading infrastructure.

Before issuing your first trade prompt, you’ll need three things: 

How to trade crypto using AI prompts on Bybit

 on the Bybit website. There, you'll find a ready-made instruction prompt — a single line that points any AI assistant to the hosted SKILL.md file on GitHub. Copy the prompt 

Step 2: Paste the prompt into an AI assistant

Open your preferred AI assistant — Claude, ChatGPT, Gemini or any AI chat tool that can fetch external content. Paste the copied prompt directly into the chat. This tells the assistant where to retrieve the skill definition and what to do with it.

Step 3: Let the AI load the trading skill

The assistant fetches the SKILL.md file from Bybit's GitHub repository, and reads it as a structured capability set. Once loaded, it gains access to supported trading modules: market data, Spot and Derivatives order execution, account management and Bybit Earn products. No confirmation from you is needed at this stage, as the AI handles the initialization.

To enable the trading features, you’ll need to 

 option will suffice. You’ll provide the key to your AI assistant for authenticated access to protected operations.

Step 4: Start using natural language prompts

With the skill now active, you can issue trading commands in plain language for instant execution. The AI maps each instruction to the corresponding API call. Some examples:

 — such as orders, position changes, transfers — triggers a structured confirmation card before execution. You must type CONFIRM 

 that orders exceeding 20% of your account balance or $10,000 in notional value trigger an additional warning before execution.

Examples of tasks you can perform with AI prompts

When you want market context before entering a position, prompt the AI directly: 

"What's the current BTC Perps funding rate?"

"Show me ETH open interest over the past 24 hours."

 These pull live data without leaving the chat.

"Buy 200 USDT worth of SOL at market price"

"Place a limit sell for 0.5 BTC at 95,000 USDT."

Risk settings, such as stop-loss and take-profit, can be applied in a single prompt (e.g., 

"Set stop loss at 78,000 USDT and take profit at 92,000 USDT on my BTC long")

Prompt specificity affects results. Instead of "Buy BTC," say, "Buy 0.01 BTC at market using USDT from my 

Before confirming any order, review the structured summary card the AI generates. It should show the order type, size, price and account impact in a readable format. Treat it the same way you'd treat a manual pre-trade double-check. 

When testing a new prompt workflow for the first time, use small position sizes to check the execution accuracy and impact.

Bybit AI Hub redefines the way crypto trading works — not by adding another interface layer, but by replacing the interface with natural language. The full execution stack — Spot orders, Derivatives positions, Earn products and account operations — is reachable through a conversation with an AI assistant that has read a single file. 

 that previously required coded bots or manual API testing can now be described and executed in plain language. 

As AI assistants become more capable of multi-step reasoning, Bybit AI Hub will keep tearing down barriers to entry in order to provide more efficient crypto trading for you.

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Bybit AI Hub: How to trade crypto using AI prompts

Beginner’s guide to using AI for crypto trading on Bybit. Learn how AI tools can help make smarter trading decisions.

By early 2026, artificial intelligence (AI) has shifted from a research novelty to an active component of cryptocurrency trading infrastructure. Hedge funds, proprietary desks and retail platforms now use AI models to process price action, on-chain flows and sentiment data faster than any manual workflow can. For individual traders, this translates to tools that assist with market analysis, emerging setups and automated order execution. Critically, most of these tools require no coding knowledge to use. Whether you're reading your first

, AI-assisted trading tools are increasingly accessible — regardless of your technical background.

AI crypto trading refers to the use of machine learning, AI algorithms and data analysis to interpret market signals — such as price movements,

 depth or sentiment shifts — and translate them into actionable information for traders. Rather than replacing human judgment outright, AI functions as an intelligent and efficient trading assistant. For instance, it can help identify patterns in large datasets or market information that would take a trader hours, if not days, to review manually.

Recently, the integration of AI tools into trading platforms has accelerated significantly. Where AI was once limited to institutional desks with custom infrastructure, it now appears directly inside exchange interfaces, chat-based assistants and automated execution systems. It should be stressed, however, that the trader should still set key parameters — such as risk tolerance, 

 — when using AI to assist with analysis and decision-making, rather than fully outsourcing these activities to an algorithm.

Below are some key crypto trading areas that are increasingly using AI.

When price signals become noisy, or macroeconomic data adds further uncertainty, the volume of data you need to synthesize rises sharply. AI tools address this challenge by simultaneously scanning multiple time frames to identify support and resistance levels, flag divergences in momentum indicators and summarize market-wide sentiment derived from news feeds and social data. Instead of manually working through a checklist of

, you can query an AI assistant for a structured breakdown of current chart conditions, then apply your own judgment to the output.

Some AI systems generate trading signals by detecting recurring patterns in historical price data — breakout structures, mean reversion setups or volume-confirmed trend continuations. The generated signals are built on extensive pattern recognition across various markets, while the quality of any signal depends heavily upon the breadth of training data and how recently the model has been calibrated. Naturally, signals should be treated as one input in a broader decision framework, not as standalone directives.

Tracking open positions across multiple assets introduces compounding

 demands, particularly during periods of high volatility. AI monitoring tools resolve this necessity by delivering real-time alerts on price thresholds, changes in risk exposure and correlation shifts between holdings. This is why position-level awareness improves without requiring that you watch multiple price feeds simultaneously: the system flags conditions you’ve previously defined, freeing your attention for higher-order decisions.

Rule-based AI systems can execute trades once a predefined set of conditions, such as price levels and time-based triggers, is met. Thus, no manual intervention is required at the moment of execution. However, automated execution can be a double-edged sword: it can remove the friction or hesitation that otherwise prevents poor trades in a manual setting — which is why any AI-based automated strategy needs rigorous testing before live deployment. To mitigate this type of risk, some platforms that offer automated trading require explicit trade confirmation before you execute an order.

Three broad categories of AI tools have emerged across crypto trading platforms, each one operating at a different level of abstraction.

In short, while AI trading assistants inform and AI bots automate predefined actions, AI trading agents do all of that — plus they help you develop, execute, refine and analyze your strategies for comprehensive trade management. 

 Because crypto markets run continuously, price-relevant information, on-chain data, macroeconomic releases and liquidation events arrive without pause. AI compresses the time between data availability and trader awareness by processing the multitude of signals almost in real time.

 Directional correlation between assets, subtle shifts in order book depth, sentiment divergence from price — these are the kinds of patterns AI reliably spots that a manual review might miss under time pressure.

 Although price monitoring, alert management and routine order placement are time-intensive, they don’t add meaningful analytical value. Delegating these duties to AI systems frees up your cognitive capacity for other tasks, such as strategy development and risk assessment.

 Natural language interfaces considerably lower the barrier to interacting with trading systems. You no longer need API configuration knowledge or coding skills to query market data or place orders through an AI trading assistant.

AI models are not infallible perfection machines — far from it. Predictions built on historical data patterns degrade when market structure shifts. For instance, within hours, a

 event can invalidate assumptions built into an AI trading model. Extreme volatility is the condition under which AI-generated signals become least reliable — and yet, this is precisely when traders are most tempted to defer to automation.

Overreliance on automated systems introduces a specific risk, as decisions are made without active human review and errors can cascade before anyone intervenes. Thus, AI should ideally serve as a decision-support layer to enhance trading efficiency, not a substitute for independent judgment. When conditions deviate from the model's training environment, human oversight remains the more reliable control mechanism.

How beginners can start using AI for crypto trading

Start by treating AI as a research assistant to analyze market data, rather than a signal generator. Ask it to summarize the current

 (RSI) reading indicates in a specific context or identify the key levels on an

 (ETH) chart. This builds familiarity with how AI interprets market data and exposes gaps in your own analytical approach before you place any capital at risk.

Before automating any of your trading, utilize AI assistants to better understand your trading mechanics. Concepts like position sizing, 

 form the logical foundation of any strategy. Without this grounding, AI-generated suggestions are difficult to evaluate critically, which limits your ability to catch errors before they affect open positions.

Step 3: Explore AI-assisted trading tools

Platforms now offer features that allow AI to interact with trading infrastructure directly through natural language commands. Explore these in a testnet or

 environment first, where you can issue instructions and observe how the system interprets and executes them without exposing real funds.

Step 4: Start small and test your workflows

When you move to live trading, keep initial position sizes small while you validate the way your AI tool interprets your commands and handles edge cases. A command such as "Buy 200

 worth of BTC" should produce a predictable and auditable result. Confirming that behavior on small positions before scaling up is the most disciplined approach to building confidence in any automated workflow.

The prompts below cover three functional categories: research, trading execution and risk management.

Prompt clarity directly affects output quality. Vague instructions — "Tell me about crypto" — return broad, low-utility responses, whereas specific, parameter-driven prompts produce actionable data. As you develop a working command vocabulary, the gap between what you ask and what the AI executes narrows considerably.

AI already offers crypto traders at all experience levels a practical toolkit to significantly improve decision-making, market analysis, order tracking and strategy execution. The barrier to entry has dropped enough that you no longer need technical infrastructure or coding knowledge to interact with sophisticated AI trading systems — often thanks to user-friendly natural language interfaces. 

At the same time, it should be stressed that traders who derive the most value from these tools tend to have a clear analytical framework already in place. AI sharpens execution, helps analyze data and accelerates research. However, it doesn’t replace the judgment required to define what you're trying to achieve with a particular trading strategy.

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15 best AI prompts for crypto trading

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