AI Your Trading Assistant & Tool Builder

Most people think of AI in trading as a stock-picking machine.

I see it differently.

I see AI as a trading partner.

Not a replacement for judgment. Not a magic crystal ball. A partner.

The journey starts with a simple question:

"What if I could teach a machine how I think about trades?"

The first step was backtesting. To build the foundation of this partner, I used Grok Builder to rapidly prototype my trading logic, turning abstract strategies into structured, backtestable code.

I wanted to know whether the setups I believed in actually worked. Not the trades I remembered. Not the winners I bragged about. The entire body of evidence.

AI helped transform ideas into code, code into tests, and tests into data.

Some assumptions survived.

Others didn't.

That alone was valuable.

The Infrastructure: Data & Screening

Then came screening. To find the right setups across thousands of tickers, I rely on Finviz for powerful fundamental and technical market maps, alongside TradingView to visually verify live charts, indicators, and price action data.

Instead of manually searching through hundreds or thousands of charts, the AI could scan the market looking for the conditions I cared about most: unusual volume, momentum shifts, volatility expansion, and the potential for larger percentage moves.

The AI wasn't making decisions.

It was helping me find opportunities.

The next phase was trade planning.

• Entry
• Stop
• Target
• Risk

The machine could analyze a setup and generate a trading plan in seconds. Sometimes I agreed. Sometimes I didn't. But every recommendation created a conversation.

Why this stock?

Why this entry?

Why this target?

In that process, I found myself becoming a better trader because I was forced to explain my reasoning.

From Paper Trading to Live Production

Now the experiment enters a new phase.

Paper trading.

The AI can generate ideas all day long, but the market is the final judge.

Every trade becomes a test.

Every outcome becomes feedback.

Every success and failure teaches both the trader and the system.

Beyond that lies automation.

Not blind automation. Responsible automation.

To run this system 24/7 with zero latency or interruption, I host my trading scripts on high-performance cloud infrastructure using DigitalOcean servers. When the AI identifies a valid setup, it bridges directly to Interactive Brokers via their robust API for reliable, algorithmic trade execution and risk control.

A system that scans, ranks opportunities, performs analysis, and potentially executes predefined strategies while maintaining risk controls and human oversight.

That future is closer than many people realize.

The goal isn't to remove the trader.

The goal is to eliminate repetitive work so the trader can focus on what matters most: judgment, risk management, and adapting to changing market conditions.

The question is no longer whether AI can participate in trading.

The question is what kind of trading partner you want it to become.