Earnings season is almost here — and if you're with QS, you’re already holding the most powerful edge in the market.
Let me walk you through how QS trades earnings, why we built 💸earning-signal, and how you can use it most effectively this quarter.
---
📜 A Little History: The Birth of 💸earning-signal
When QS launched in early April, we started with just two short-term signals:
⏰0dte
📅weekly-options
Both focused on short-term options trades.
Then came TSLA earnings in late April. That’s when we launched our very first 💸earning-signal — and nailed the prediction.
Since then?
We’ve had one of the best earnings win streaks on the internet. Period.
📌 Don’t take my word for it — check:
#✅signal-recap for the track record
#🤑profits and #🤩member-testimonials for real wins from members
---
🤖 Why We Built a Separate Earnings Signal
Earnings are not regular trading days. The dynamics are completely different.
On normal days, a stock might move <1%
On earnings? 10–20% swings are common
This is what we call a “pivot event” — and it requires a different engine to predict.
That’s why we separated:
📅 #weekly-options → normal day-to-day setups
💸 #earning-signal → high-volatility earnings plays
---
🧠 How a Human Would Trade Earnings...
If you wanted to manually trade an earnings report, you’d need to analyze:
Past earnings reactions
Analyst expectations
Earnings call language
Financial statement surprises
Options IV & skew
Post-earnings stock behavior
This would take hours (or days) — and most retail traders don’t have time.
---
⚙️ How QS AI Does It Instead
We built 💸earning-signal to do all that work for you — and more.
✅ It pulls in all the data above
✅ Runs it through 5 top LLM models (each acts as an independent analyst)
✅ Aggregates their insights + calculates probability-weighted direction & strategy
✅ Uses fine-tuning to learn from its past prediction success/failures
This means: faster decisions, deeper insights, and better accuracy — every week.
We don’t just run predictions. We let the AI learn from past mistakes and self-improve each quarter.
---
💥 Results Speak for Themselves
Last season, we nailed:
TSLA
MSFT (10x–20x winners!)
NVDA
AAPL
And many more...
All based on this unique AI-driven earnings analysis stack.
This season?
We’re going harder, faster, and even smarter. 📈
🎯 The goal is clear:
Make 💸earning-signal the #1 earnings prediction system in the world.
---
🧩 Final Notes
Earnings are 10x harder to trade than regular days
But with QS, you’re equipped with 500x the speed and insight of an average trader
Upgrade if you haven’t yet: #💰upgrade-instructions
Earnings season kicks off next week
Let’s get it.
Let’s win big.
Let’s make season 2 of 💸earning-signal our most legendary yet. 🚀💸
Let me walk you through how QS trades earnings, why we built 💸earning-signal, and how you can use it most effectively this quarter.
---
📜 A Little History: The Birth of 💸earning-signal
When QS launched in early April, we started with just two short-term signals:
⏰0dte
📅weekly-options
Both focused on short-term options trades.
Then came TSLA earnings in late April. That’s when we launched our very first 💸earning-signal — and nailed the prediction.
Since then?
We’ve had one of the best earnings win streaks on the internet. Period.
📌 Don’t take my word for it — check:
#✅signal-recap for the track record
#🤑profits and #🤩member-testimonials for real wins from members
---
🤖 Why We Built a Separate Earnings Signal
Earnings are not regular trading days. The dynamics are completely different.
On normal days, a stock might move <1%
On earnings? 10–20% swings are common
This is what we call a “pivot event” — and it requires a different engine to predict.
That’s why we separated:
📅 #weekly-options → normal day-to-day setups
💸 #earning-signal → high-volatility earnings plays
---
🧠 How a Human Would Trade Earnings...
If you wanted to manually trade an earnings report, you’d need to analyze:
Past earnings reactions
Analyst expectations
Earnings call language
Financial statement surprises
Options IV & skew
Post-earnings stock behavior
This would take hours (or days) — and most retail traders don’t have time.
---
⚙️ How QS AI Does It Instead
We built 💸earning-signal to do all that work for you — and more.
✅ It pulls in all the data above
✅ Runs it through 5 top LLM models (each acts as an independent analyst)
✅ Aggregates their insights + calculates probability-weighted direction & strategy
✅ Uses fine-tuning to learn from its past prediction success/failures
This means: faster decisions, deeper insights, and better accuracy — every week.
We don’t just run predictions. We let the AI learn from past mistakes and self-improve each quarter.
---
💥 Results Speak for Themselves
Last season, we nailed:
TSLA
MSFT (10x–20x winners!)
NVDA
AAPL
And many more...
All based on this unique AI-driven earnings analysis stack.
This season?
We’re going harder, faster, and even smarter. 📈
🎯 The goal is clear:
Make 💸earning-signal the #1 earnings prediction system in the world.
---
🧩 Final Notes
Earnings are 10x harder to trade than regular days
But with QS, you’re equipped with 500x the speed and insight of an average trader
Upgrade if you haven’t yet: #💰upgrade-instructions
Earnings season kicks off next week
Let’s get it.
Let’s win big.
Let’s make season 2 of 💸earning-signal our most legendary yet. 🚀💸
Free Signals Based on Latest AI models💰: QuantSignals.xyz
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Free Signals Based on Latest AI models💰: QuantSignals.xyz
相關出版品
免責聲明
這些資訊和出版物並不意味著也不構成TradingView提供或認可的金融、投資、交易或其他類型的意見或建議。請在使用條款閱讀更多資訊。