Video 🎥 SPX 2020–2025: Which AI Gave the Best Chart Analysis?

Cartoon-style bald man with white beard and glasses smiling next to a cute corgi in glasses, with bold yellow text “AI vs AI – SPX 2020–2025 Renko Chart Battle” on a vibrant purple background. Which AI is the best?

📌 What This Video Covers

In this video, I ran a head-to-head comparison of three powerful GPT-4 models — GPT-5 Auto, GPT o3, and GPT-5 Thinking — to see which AI model could analyze the S&P 500 Renko chart from 2020 through August 2025 most accurately and objectively.

I asked all three models to:

  • Interpret the long-term trend using a Renko chart
  • Identify support/resistance zones
  • Assess momentum and potential market structure

📊 Summary Table: Which AI Did It Best?

ModelChart ClarityMomentum ReadSupport ZonesObjectivityNotes
GPT-5 Auto❌ Misaligned labels⚠️ Basic, repetitive👍 Clear shelves⚠️ Surface-levelFast, but less precise
GPT o3✅ Well-labeled✅ Renko-savvy talk✅ Valid shelves✅ Very objectiveJust missing Renko settings
GPT-5 Thinking✅ Chart-led explanation✅ Advanced market dynamics✅ Great shelf mapping✅ Highest clarityLacks formal wave labeling

🟨 My verdict? GPT o3 offered the most technically sound and readable analysis — but GPT-5 Thinking gave the strongest “human-like” reasoning and chart storytelling.


🧘 Why This Matters: Removing Emotion from Trading

Back in the day, we’d stare at charts and try to figure out where the market might go — but our emotions and bias often got in the way. Once you’re in a trade, it’s hard to see things objectively.

Now with AI, we can outsource that interpretation. The models don’t have FOMO. They don’t see what they want to see. They just respond to the data.

While AI isn’t perfect and still makes mistakes, it helps us get closer to objective, repeatable analysis — especially when reviewing trend structures like those seen in Renko charts.


🔍 Key Takeaways from the AI Models

  • Renko charts challenge conventional AI charting logic — fixed brick logic differs from time-based patterns.
  • Emotionless analysis doesn’t mean flawless — but it does offer a solid baseline for your own thinking.
  • Context is key. The AI needs to know the chart settings (brick size, reversal type) to give fully replicable output.

🧰 Resources Mentioned


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