Carousel Studio

Repurpose X Threads into LinkedIn & Instagram Carousels

Canvas & Ratio

Choose your destination platform format


Layout Template

Choose a content structure for your slides


Preset Themes


Typography & Sizing

Title Font Size36px
Body Font Size18px
Header & Footer Size12px

Brand Kit Customization

AGENCY

Configure brand assets for headers & footers

MULTI-PROFILES (AGENCY)
AGENCY
SAVE PRESETS (AGENCY)

Outro Slide CTA

Customize your closing call-to-action slide

#1
#2
#3

Background Pattern

Source Content

Build Your Carousel

Drag and drop any post card below onto a slide, or use the quick buttons to insert content/images instantly!

Drag Post #1
Quant Science
@quantscience_

A 23-page research paper reveals the number 1 method Hedge Funds use to beat the market: Time Series Momentum This is how: 🧵

Apply Image
Drag Post #2
Quant Science
@quantscience_

1. What Is Time Series Momentum? Time Series Momentum (TSMOM) bets on trends continuing. If a stock’s up, buy more; if down, sell. A 2011 study of 58 assets proved it works!

Apply Image
Drag Post #3
Quant Science
@quantscience_

2. The Data Behind the Strategy The TSMOM paper analyzed equities, currencies & more. T-stats showed consistent profits across 1-month lookbacks!

Apply Image
Drag Post #4
Quant Science
@quantscience_

3. Coding TSMOM with Python Code TSMOM in Python: - Use yfinance to get data - Then momentum = price[-1] / price[-20] - 1. Positive? Buy Negative? Sell

Apply Image
Drag Post #5
Quant Science
@quantscience_

4. Real-World Performance TSMOM outperforms passive investing. We're using a modified version of TSMOM in our Hedge Fund. One backtest shows 3500% return vs 450% S&P500.

Apply Image
Drag Post #6
Quant Science
@quantscience_

We are using TSMOM in our hedge fund. And we'd like to share exactly how it works. Want to see how we built our hedge fund in Python? Then join us for our free training:

Drag Post #7
Quant Science
@quantscience_

🚨 FREE Python Algo Trading Workshop: Learn how we built our hedge fund • QSConnect: Build your quant research database • QSResearch: Research and run machine learning strategies • Omega: Automate trade execution with Python 👉 Get the system: <a target="_blank" href="https://learn.quantscience.io/become-a-pro-quant-trader-with-python" color="blue">learn.quantscience.io/become-a-pro-q…</a>

Apply Image
Drag Post #8
Quant Science
@quantscience_

That's a wrap! Over the next 24 days, I'm sharing my top 24 algorithmic trading concepts to help you get started. If you enjoyed this thread: 1. Follow me @quantscience_ for more of these 2. RT the tweet below to share this thread with your audience <a target="_blank" href="https://twitter.com/1683526993059430411/status/1994755555613696413" color="blue">x.com/16835269930594…</a>

Drag Post #9
Quant Science
@quantscience_

P.S. - It took me 3 years to become confident in algorithmic trading. So I spent 100 hours and made a free course to help others. Join my free Algo Trading with Python Course + Roadmap here: <a target="_blank" href="https://startalgorithmictrading.com/beginners-algo-trading-roadmap" color="blue">startalgorithmictrading.com/beginners-algo…</a>