I have published a new cTrader automation tutorial that shows how to build, test, and review an EMA RSI strategy using Xen AI.
This example uses a simple but practical trading logic:
EMA crossovers are used for trade entries, while RSI overbought and oversold levels are used for exit conditions.
The video is not just about generating a cBot. It follows the full development cycle:
• Create the cBot from a strategy idea.
• Verify the generated code.
• Publish the cBot into cTrader.
• Optimise the input parameters.
• Run a backtest.
• Save the backtest report.
• Use Xen AI to analyse the results and suggest improvements.
The main point of the tutorial is to show how AI can support the development of trading systems, not just write code. A strategy still needs testing, review, optimisation, and risk control before it should be considered for live use.
Video:
Xen AI:
https://ai.clickalgo.com/
This is for educational purposes only. Automated trading carries risk, and any strategy should be tested on a demo account before live trading.
This example uses a simple but practical trading logic:
EMA crossovers are used for trade entries, while RSI overbought and oversold levels are used for exit conditions.
The video is not just about generating a cBot. It follows the full development cycle:
• Create the cBot from a strategy idea.
• Verify the generated code.
• Publish the cBot into cTrader.
• Optimise the input parameters.
• Run a backtest.
• Save the backtest report.
• Use Xen AI to analyse the results and suggest improvements.
The main point of the tutorial is to show how AI can support the development of trading systems, not just write code. A strategy still needs testing, review, optimisation, and risk control before it should be considered for live use.
Video:
Xen AI:
https://ai.clickalgo.com/
This is for educational purposes only. Automated trading carries risk, and any strategy should be tested on a demo account before live trading.