Most traders think market sentiment (Fear & Greed) directly drives profits.
So I decided to test it.
I analyzed 100K+ trades from Hyperliquid and combined it with the Bitcoin Fear & Greed Index to uncover how sentiment actually impacts trading performance.
Here’s what I found 👇
🧠 The Question
Does market sentiment really affect:
Profitability?
Win rate?
Trader behavior?
Or is it just noise?
⚙️ What I Did
Cleaned and processed trading data
Filtered only closed trades (real profits/losses)
Merged trades with daily sentiment
Engineered features like:
Win rate
ROI
Segmented traders into:
Top performers
Worst performers
📈 Key Findings
- Greed = Profits… but only for some Extreme Greed had the highest average PnL and win rate But here’s the twist:
👉 Top traders made the most money
👉 Worst traders LOST the most money
Same market. Different outcomes.
- The Overconfidence Trap
Worst traders:
Had ~55% win rate in Greed (not terrible)
But still lost money
Why?
👉 They over-leveraged and mismanaged risk
This suggests:
Losses weren’t due to bad predictions, but bad execution.
- Fear Isn’t Always Bad Traders performed surprisingly well in Fear phases Likely because: Only high-conviction trades were taken Risk exposure was lower
👉 Discipline > sentiment
- Top Traders Are Consistent
Top performers:
Stayed profitable across all sentiment conditions
Didn’t rely on “market mood”
Focused on execution + risk management
- Timing Beats Sentiment (Advanced Insight)
Instead of just sentiment, I analyzed sentiment transitions:
👉 Example:
Fear → Greed
Greed → Fear
Result:
Transitions often produced better outcomes than static sentiment.
🧠 What This Means
Market sentiment doesn’t determine success.
👉 Trader behavior does.
Weak traders react emotionally
Strong traders stay consistent
🚀 Practical Takeaways
If you trade (or build trading systems):
Don’t blindly follow bullish sentiment
Control position size during Greed
Avoid overtrading in “easy markets”
Focus on consistency, not prediction
🏁 Final Thought
The market doesn’t reward sentiment.
It rewards discipline.
🔗 Built Using
Python (Pandas, Matplotlib)
Real trading + sentiment data
If you're into data science, trading, or building in Web3—would love to hear your thoughts 👇
