Turn Plain English Into a StrategyQuant X Strategy with SQX Oracle

What if you could describe a trading strategy in one sentence and have AI turn it into a complete StrategyQuant X strategy ready for backtesting?

That is exactly what SQX Oracle is designed to do.

SQX Oracle is a community plugin created by Clonex that connects an AI coding agent with StrategyQuant X. Instead of manually building every entry condition, exit rule, stop-loss, and filter, you can describe the strategy in plain English.

For example:

“Enter long when RSI falls below 30, exit after 10 bars, and add a protective stop-loss.”

SQX Oracle takes that description and builds a complete SQX strategy file with actual trading rules. It then validates the strategy against your StrategyQuant X installation and can send it directly to Retester for backtesting.

From Trading Idea to Backtest

In the full video, we walk through the complete process from installation to the first backtest.

We start with a simple RSI mean-reversion strategy on MNQ. The plugin builds the strategy, validates it, and sends it to StrategyQuant X.

But the first backtest isn’t profitable.

And that’s actually where things get more interesting.

Instead of pretending AI has magically discovered a profitable trading system, we use SQX Oracle to analyze the results and iterate on the original idea.

We add a trend filter.

Backtest again.

Add an ATR-based profit target.

Backtest again.

Change the timeframe.

Backtest again.

The plugin can read the results, compare different versions, and suggest potential changes that you can investigate.

AI Doesn’t Replace Strategy Research

SQX Oracle is not a magic profitable-strategy generator.

You are still responsible for the trading hypothesis, market selection, backtest configuration, position sizing, trading costs, and—most importantly—robustness testing.

What SQX Oracle can eliminate is much of the repetitive work between having an idea and actually testing it.

Instead of manually translating every trading concept into StrategyQuant X building blocks, you can focus more of your time on researching, testing, rejecting, and improving ideas.

And because the plugin builds its catalog from your own StrategyQuant X installation, it knows which indicators and building blocks are actually available in your setup.

See SQX Oracle in Action

In the full YouTube tutorial, we show you:

• How to install and configure SQX Oracle
• How to connect it with StrategyQuant X
• How to use an AI agent such as Claude Code
• How to turn plain-English rules into a complete SQX strategy
• How to send generated strategies directly to Retester
• How the plugin reads and evaluates backtest results
• How to iterate on a strategy using AI
• Where the plugin helps—and where human judgment is still essential

Download plugin from our codebase. 

If you already use StrategyQuant X and want to experiment with a faster AI-assisted workflow for turning trading ideas into testable strategies, watch the full video on YouTube to see SQX Oracle working step by step.