Ai Trading Algorithm

DeepSeek Trading Algorithm - This surprised me and then it didn't. Just how good is this type of trading.

Ai Trading Algorithm

When Deep Seek AI Meets Trading: Discovering the Power of Price Action and Market Maker Activity

As a professional trader I like to explore anything that will validate and improve trading methods. Recently, I conducted an fascinating experiment with DeepSeek AI, asking it to design the perfect trading strategy. What I discovered was both surprising and validating.

The AI Trading Experiment

I challenged DeepSeek to create a trading algorithm based purely on market beliefs and price action. After several iterations of refinement, the AI distilled its approach down to four key elements:

  1. Catalyst Identification (what got movement underway)
  2. Sentiment Analysis
  3. Price Action Confirmation
  4. Institutional Alignment

What struck me was how closely these aligned with my own proprietary PAT (Price Action Trading) indicator system, which I've developed over years of observing market maker activity.

Market Makers: The Hidden Hand

The reality is that market makers drive significant price movements. Through my years of trading, I've observed how these institutional players create price action patterns that most retail traders miss. This understanding forms the foundation of the market maker method.

My indicator specifically tracks these institutional movements, helping traders identify:

  • Key support and resistance levels where market makers operate
  • High-probability entry points based on market maker activity
  • Clear risk management levels aligned with institutional positions

The Power of Simplicity

What the AI experiment reinforced was something I've always said:

💡
Effective trading doesn't require complex systems.

Yesterday I demonstrated how this works in real-time and captured several profitable moves:

  • A 26-pip movement following clear market maker signals
  • A 30-pip gain by aligning with institutional flow
  • Multiple high-probability setups identified through Market Maker Method analysis

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