Options trading is evolving fast. AI is no longer just hype — it’s reshaping how trades are scanned, placed, and managed. But beneath all the algorithms, dashboards, and real-time data, let’s remember something timeless:
Trading is like cricket.
There are only a handful of shots in cricket — the cover drive, the pull, the sweep. But what separates Virat Kohli from a club-level batsman isn’t knowing more shots — it’s knowing when to play which shot.
The same applies to trading.
There are only so many strategies — straddles, spreads, iron condors. But when to enter, how much to size, when to fold — that’s an art. And that art is deeply personal.
🎭 You’re Not Trading the Chart — You’re Trading Yourself
Here’s the truth few talk about:
You don’t trade charts.
You trade your biases, your emotions, your fears, your insecurities, and your convictions.
The market is just a mirror. It reflects back who you are. If you're impulsive, it exposes it. If you're disciplined, it rewards you.
That's why no two discretionary traders will ever trade the same chart the same way — because the chart is just the canvas. The real brushstroke comes from within.
🤖 Where AI Fits In — And Where It Doesn’t
AI is incredibly useful for:
Scanning option chains across markets in milliseconds.
Backtesting thousands of strategies based on historical data.
Generating risk profiles faster than you can blink.
But here’s the catch:
AI works best in rule-based environments.
If your trading is 100% systematic — strict setups, fixed entries/exits, rigid risk-to-reward — AI might outperform you one day.
But if you're a discretionary trader — someone who adapts based on feel, flow, structure, and context — AI has a long, long way to go before it can replicate what you do.
Why? Because AI doesn't have intuition. It doesn’t feel what a trap looks like. It can’t smell fear in the market. It doesn’t hesitate, second-guess, or go all-in based on conviction.
And ironically, that’s the edge of human traders — the very things we call flaws.
🧭 So What’s the Future?
Rule-followers? Automatable. Replaceable. Eventually commoditized.
Intuitive, discretionary traders? Timeless. Scarce. Human.
The best traders in the next decade will be those who know how to:
Use AI to process data,
But still trust their own gut to make the final decision.
🧠 Final Thoughts
AI is a powerful ally — not a replacement. Trading will always remain part technical, part psychological, and part spiritual.
The best shot in cricket isn’t the one you know — it’s the one you play at the right time.
And in trading, the best edge isn’t the one coded in Python — it’s the one forged by knowing who you are when the market tests you.
📌 Still think AI will replace discretionary traders? Let’s debate in the comments.
📈 Follow for deeper takes on the inner game of trading.
Trading is like cricket.
There are only a handful of shots in cricket — the cover drive, the pull, the sweep. But what separates Virat Kohli from a club-level batsman isn’t knowing more shots — it’s knowing when to play which shot.
The same applies to trading.
There are only so many strategies — straddles, spreads, iron condors. But when to enter, how much to size, when to fold — that’s an art. And that art is deeply personal.
🎭 You’re Not Trading the Chart — You’re Trading Yourself
Here’s the truth few talk about:
You don’t trade charts.
You trade your biases, your emotions, your fears, your insecurities, and your convictions.
The market is just a mirror. It reflects back who you are. If you're impulsive, it exposes it. If you're disciplined, it rewards you.
That's why no two discretionary traders will ever trade the same chart the same way — because the chart is just the canvas. The real brushstroke comes from within.
🤖 Where AI Fits In — And Where It Doesn’t
AI is incredibly useful for:
Scanning option chains across markets in milliseconds.
Backtesting thousands of strategies based on historical data.
Generating risk profiles faster than you can blink.
But here’s the catch:
AI works best in rule-based environments.
If your trading is 100% systematic — strict setups, fixed entries/exits, rigid risk-to-reward — AI might outperform you one day.
But if you're a discretionary trader — someone who adapts based on feel, flow, structure, and context — AI has a long, long way to go before it can replicate what you do.
Why? Because AI doesn't have intuition. It doesn’t feel what a trap looks like. It can’t smell fear in the market. It doesn’t hesitate, second-guess, or go all-in based on conviction.
And ironically, that’s the edge of human traders — the very things we call flaws.
🧭 So What’s the Future?
Rule-followers? Automatable. Replaceable. Eventually commoditized.
Intuitive, discretionary traders? Timeless. Scarce. Human.
The best traders in the next decade will be those who know how to:
Use AI to process data,
But still trust their own gut to make the final decision.
🧠 Final Thoughts
AI is a powerful ally — not a replacement. Trading will always remain part technical, part psychological, and part spiritual.
The best shot in cricket isn’t the one you know — it’s the one you play at the right time.
And in trading, the best edge isn’t the one coded in Python — it’s the one forged by knowing who you are when the market tests you.
📌 Still think AI will replace discretionary traders? Let’s debate in the comments.
📈 Follow for deeper takes on the inner game of trading.
Pernyataan Penyangkalan
Informasi dan publikasi ini tidak dimaksudkan, dan bukan merupakan, saran atau rekomendasi keuangan, investasi, trading, atau jenis lainnya yang diberikan atau didukung oleh TradingView. Baca selengkapnya di Ketentuan Penggunaan.
Pernyataan Penyangkalan
Informasi dan publikasi ini tidak dimaksudkan, dan bukan merupakan, saran atau rekomendasi keuangan, investasi, trading, atau jenis lainnya yang diberikan atau didukung oleh TradingView. Baca selengkapnya di Ketentuan Penggunaan.