Chat to create AI Trading Agent
Simply tell NOKS what you want to do—describe your strategy in plain language—and it will automatically turn your instructions into a fully functional AI trading agent. Whether you want to set buy/sell conditions, use technical indicators, or trade based on social media signals, just type your prompt and NOKS takes care of the rest.
For example, you can input:
"Buy $1000 worth of [Token] when RSI < 30."
"Sell when price increases by 5%."
NOKS will understand and generate the agent to execute your strategy based on the conditions you specify. It’s as simple as that!

Best Practices for Writing Prompt
Creating effective trading prompts is key to ensuring that your AI Trading Agent makes the right decisions. Here’s a guide to help you write clear, precise prompts, and best practices to ensure your agent works optimally.
1. Keep It Simple and Clear
Start with a clear description of the action you want your agent to perform. Simplicity ensures your agent can understand and follow your instructions.
Example:
"Buy when the price drops by 5% in the last hour."
"Sell when RSI exceeds 70."
2. Use Conditional Statements
Trading decisions are often made based on specific conditions. Use "If X, then Y" statements to define your agent’s actions.
Example:
"If the price of [Token] drops by 5%, buy $1000 worth."
"If RSI < 30, buy. If RSI > 70, sell."
3. Specify Parameters
Define the conditions and metrics clearly. For example:
RSI: "Buy if RSI is below 30."
Volume: "Buy if trading volume exceeds 1 million."
Price: "Buy if price is below $2."
4. Combine Multiple Indicators
To create more advanced strategies, combine different indicators like RSI, MACD, EMA, and volume.
Example:
"Buy if RSI < 30, price is below $2, and volume exceeds 1 million."
"Sell if MACD crosses below the signal line and RSI > 70."
5. Avoid Ambiguity
Be as precise as possible to avoid any ambiguity in the instructions. This will ensure that your agent follows the rules without confusion.
Example: Instead of saying "Buy when the market looks good," use:
"Buy $1000 worth of [Token] when RSI is below 30 and the price drops 5% in the last hour."
6. Test and Refine
Always backtest your prompts with historical data to ensure they work as expected. Refine your strategy based on backtest results before deploying it in real-time trading.
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