Quick Guide to AI Trading Bot

Publicado el 2 feb 2026Actualizado el 3 feb 2026lectura de 4 min

What is an AI Trading Strategy?

An AI trading strategy is an intelligent system that uses artificial intelligence technology for automated trading. It understands your trading intentions through natural language, combines real-time market data with technical indicators, and automatically executes buy and sell decisions. Unlike traditional programmed strategies, AI strategies require no coding—you simply describe your trading logic in everyday language, and the AI understands and executes it.

AI Strategy Creation Steps

Select a Model

First, you need to choose a suitable AI model. Different models vary in understanding complexity, response speed, and decision-making accuracy. You can select based on your strategy's complexity and trading frequency.

Set Up Trading Strategy

This is the core step, consisting of three key components:Select Trading Instrument - Determine the assets you want to trade, such as specific cryptocurrency pairs or stocks.Configure Market Data - Set the data types and timeframes the AI needs to monitor, providing an information foundation for decision-making.Describe Trading Logic - Clearly express your trading approach in natural language, including when to buy, when to sell, position management rules, etc. The AI will understand your trading intentions based on this.

Preview and Confirm the Prompt

The system will automatically generate a prompt based on your settings—this is the AI's "instruction manual" for understanding the strategy. You need to carefully review and confirm that the prompt accurately reflects your trading intentions before proceeding to run backtests or start live trading.

Run the Strategy

Once the strategy is launched, the AI works around the clock, making judgments based on your set rules combined with real-time market data, automatically generating and executing trading decisions without manual intervention.

Stop the Strategy

You can manually stop the strategy at any time. When stopped, all pending orders are automatically canceled, and all funds are returned to your trading account. The system will display detailed fund information for your review.

Key Parameter Explanations

AI Thinking Interval

This parameter determines how frequently the AI scans the market. If your strategy aims to quickly capture short-term opportunities, you can set a shorter interval (such as 1-5 minutes); if you prefer long-term positions and stability, a longer interval is suitable (such as 30 minutes or more).

Candlestick Period

Specifies the timeframe the AI monitors. You can combine multiple periods, for example, using both 15-minute and 1-day periods simultaneously, allowing the AI to capture both short-term fluctuations and long-term trends. However, note that more periods increase strategy complexity.

Technical Indicators

The AI calculates these indicators at each thinking interval and candlestick period you select. For example, if you set a 3-minute thinking interval, 4-hour candlestick period, and enable the EMA20 indicator, the AI will analyze EMA20 based on 4-hour charts every 3 minutes, providing a more complete market view.

How to Write High-Quality Strategy Prompts

A clear and precise prompt is key to AI strategy success. Here are some practical suggestions:

  • Select Indicators and Periods Carefully - Don't try to include everything. Too many indicators and periods can cause the AI to "lose direction," making it difficult to make decisive decisions. Choose only those that best fit your trading logic.

  • Clarify Timeframe Usage Logic - Tell the AI how to use different periods, such as "primarily use 15-minute candlesticks for trading signal identification, with 4-hour candlesticks to assist in confirming overall trend direction."

  • Clear Position Management Rules - Specifically state how much margin to use for each position, or what percentage of total account funds the position value should represent, for example, "use 10% of total account funds for each position."

  • Simple and Clear Take-Profit and Stop-Loss Rules - Avoid complex conditional judgments. It's recommended to set based on profit/loss percentage, such as "take profit when return reaches (0.5%-2%) × leverage multiplier, or set take-profit and stop-loss directly based on price movement percentage."

  • Defined Leverage Range - Specify the allowed leverage multiplier range to help the AI control risk, such as "use 5x leverage."

By following these principles, you can create AI Trading Bot with clear logic and efficient execution, making artificial intelligence your intelligent trading assistant.