📚 4-Dimensional Investing: Evolving Beyond News, Charts, and Math
Most people start learning about stocks in a 1-dimensional way — by following the news.
But news is noisy.
Some is fake, some is "buy the rumor, sell the fact", and sometimes the price moves the opposite of what the news suggests. So, many give up on news and turn to...
📊 2D: Technical Analysis (TA)
TA has been around since the 1980s, when personal computers went mainstream. It's visual and intuitive — charts, lines, indicators. You see price action unfold on-screen and feel like you're deciphering the market in real time.
Some traders even build entire systems off indicators like RSI, MACD, or moving averages. They think:
"Aha! The chart did this, so next time I’ll do that."
But often, "next time" doesn't work the same.
TA is fundamentally historical — it's about pattern recognition and hoping history repeats.
It’s like counting the color of every fallen leaf, trying to predict the next one.
We needed something better. So the institutions turned to…
🧠 3D: Quantitative Modeling
Enter the quants — physicists, mathematicians, engineers. They model the markets like rocket science using multi-dimensional equations. Think LTCM (Long-Term Capital Management), led by Nobel Prize winners.
Quant models are more sophisticated than charts — they simulate human behavior with precision. But there's a problem: humans change.
A model may work… until people start behaving differently.
Markets are not just math. They’re psychology, emotion, fear, greed.
Which brings us to the new frontier…
🤖 4D: AI-Powered, Language-Driven Investing
This is where LLMs (Large Language Models) enter the game.
People often ask me:
“Why use LLMs for trading? Why not traditional ML like LSTM?”
Here’s my answer: Markets are made of humans, and humans communicate through language.
Not numbers. Not charts. Not just price.
Now, with LLMs, we can:
Analyze any human-created document (news, filings, tweets, speeches)
Understand sentiment in real context
Capture nuance — the stuff traditional models miss
LLMs don’t just convert text to numbers. They learn meaning.
This adds a fourth dimension to our trading models: language + reasoning + context + behavior.
Underneath, it’s still powered by classic ML and deep learning. But now the machine can think more like a human — with intuition, memory, and adaptability.
---
🌐 The Future Is 4D Investing
We're not saying this is the final answer to markets. But it’s a major leap forward.
Trading is one of the hardest prediction problems in the world.
And now we have a tool that bridges the gap between math and human behavior.
Welcome to the era of 4D investing —
Where the future of trading is built with language, context, and AI.
Let’s explore it together in 📖qs-academy. 🚀
Most people start learning about stocks in a 1-dimensional way — by following the news.
But news is noisy.
Some is fake, some is "buy the rumor, sell the fact", and sometimes the price moves the opposite of what the news suggests. So, many give up on news and turn to...
📊 2D: Technical Analysis (TA)
TA has been around since the 1980s, when personal computers went mainstream. It's visual and intuitive — charts, lines, indicators. You see price action unfold on-screen and feel like you're deciphering the market in real time.
Some traders even build entire systems off indicators like RSI, MACD, or moving averages. They think:
"Aha! The chart did this, so next time I’ll do that."
But often, "next time" doesn't work the same.
TA is fundamentally historical — it's about pattern recognition and hoping history repeats.
It’s like counting the color of every fallen leaf, trying to predict the next one.
We needed something better. So the institutions turned to…
🧠 3D: Quantitative Modeling
Enter the quants — physicists, mathematicians, engineers. They model the markets like rocket science using multi-dimensional equations. Think LTCM (Long-Term Capital Management), led by Nobel Prize winners.
Quant models are more sophisticated than charts — they simulate human behavior with precision. But there's a problem: humans change.
A model may work… until people start behaving differently.
Markets are not just math. They’re psychology, emotion, fear, greed.
Which brings us to the new frontier…
🤖 4D: AI-Powered, Language-Driven Investing
This is where LLMs (Large Language Models) enter the game.
People often ask me:
“Why use LLMs for trading? Why not traditional ML like LSTM?”
Here’s my answer: Markets are made of humans, and humans communicate through language.
Not numbers. Not charts. Not just price.
Now, with LLMs, we can:
Analyze any human-created document (news, filings, tweets, speeches)
Understand sentiment in real context
Capture nuance — the stuff traditional models miss
LLMs don’t just convert text to numbers. They learn meaning.
This adds a fourth dimension to our trading models: language + reasoning + context + behavior.
Underneath, it’s still powered by classic ML and deep learning. But now the machine can think more like a human — with intuition, memory, and adaptability.
---
🌐 The Future Is 4D Investing
We're not saying this is the final answer to markets. But it’s a major leap forward.
Trading is one of the hardest prediction problems in the world.
And now we have a tool that bridges the gap between math and human behavior.
Welcome to the era of 4D investing —
Where the future of trading is built with language, context, and AI.
Let’s explore it together in 📖qs-academy. 🚀
Free Signals Based on Latest AI models💰: QuantSignals.xyz
Related publications
Disclaimer
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.
Free Signals Based on Latest AI models💰: QuantSignals.xyz
Related publications
Disclaimer
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.