How do I set up automated trading on my platform?

Chatref’s AI agents become the decision layer for your automated trading. You define your strategy in plain language—like “buy when the 50-day moving average crosses above the 200-day”—and the agent translates that into executable logic. Because each agent is trained on your own trading documentation, order types, and risk parameters, it stays grounded in your specific rules instead of guessing the next step.

• Train an AI agent on your platform’s trading rules, API docs, and strategy guides.
• Use natural language to instruct the agent on entry/exit conditions, position sizing, and stop-losses.
• The agent interprets market data you feed it and recommends actions according to your criteria, reducing manual oversight.

Custom actions turn AI-generated recommendations into real trades. When a Chatref agent detects a setup that matches your strategy, it can instantly trigger an action—place a market order, set a limit, or adjust a stop—through your platform’s API.

1. Connect your broker or exchange – map custom actions to the endpoints that execute trades, check account balances, or fetch real-time quotes.
2. Define action flows – for example, if the agent spots a breakout, a custom action can buy the asset and simultaneously place a trailing stop.
3. Test with sandbox keys – validate every action in a simulated environment before live deployment.

Because Chatref’s agent retains full conversation context, it can handle follow-up tasks like partial closes or scaling in/out of a position without starting from scratch.

Once your AI agent and custom actions are configured, deploy the strategy as a background process. The agent can run continuously, scanning for signals in the data you stream to it, and will only fire trades when all conditions are met.

• Monitor performance – review all agent decisions and triggered actions in your platform’s activity log. Adjust parameters as needed.
• Human-in-the-loop – keep sensitive decisions (e.g., large positions) requiring manual approval. The agent prepares the trade but holds until you confirm.
• Scale – add agents for different strategies (scalping, swing, arbitrage) and markets without any per-bot fee; Chatref’s PAYG model means you only pay for responses that actually fire.

How do I create an automated trading strategy?

Start by documenting your trading logic—entry rules, indicators, risk limits—in your platform’s note format. Upload that documentation to a Chatref AI agent, then use natural language to tell the agent how to interpret market data against your rules. Finally, wire custom actions to your trading API so the agent can execute orders when conditions trigger.

Can I use trade bots on the platform?

Yes. Chatref’s AI agents function as trade bots when combined with custom actions. There is no limit to the number of bots you can create; you can run multiple algorithmic trading strategies side by side, each in its own agent, all from a single account.

What are the risks of automated trading?

All automated trading carries risk—market volatility, technical glitches, or strategy flaws can lead to losses. Chatref mitigates some of that by keeping the agent grounded in your own risk parameters and by supporting human-in-the-loop for critical decisions. Still, you should always backtest thoroughly, start with small capital, and monitor bots closely, especially when markets behave unexpectedly.