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@quantscience_
Aug 15 • 5 tweets • 2 min read • Read on X
JP Morgan's Python training.

Available 100% for free: Image
Here's the link on GitHub: github.com/jpmorganchase/…Image
🚨 NEW 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: learn.quantscience.io/become-a-pro-q…Image
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
P.S. - Want to learn Algorithmic Trading Strategies that actually work?

I'm hosting a live workshop. Join here: learn.quantscience.io/qs-register

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More from @quantscience_

Quant Science Profile picture
Aug 11
🚨BREAKING: Introducing QF-Lib

A new Python library for Quant Finance.

Here's everything you need to know... (a thread) 🧵 Image
1. What Is QF-Lib?

QF-Lib is a modular Python library that provides an advanced event-driven backtester and a set of high-quality tools for quantitative finance.
It provides tools for:

- Portfolio Construction
- Time Series Analysis
- Risk Monitoring

All for Financial Data. Image
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Aug 10
Look at this guy:

• Averaged 25% annual returns over 30 years
• Secret Sauce: Discounted Cash Flow

Here's how to trade just like him with algorithms in Python: Image
His name is David Tepper.

David Tepper climbed from a modest Pittsburgh upbringing to Wall Street legend status, delivering ~25% annual returns over 30 years.

Let's unpack his strategy and standout trades:
2/ Born into a blue-collar family in Pittsburgh, Tepper thought buildings were meant to be soot-black—until he learned it was factory smog.

By age 8, his father got him into stocks.
Read 21 tweets
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Aug 9
A 23-page research paper reveals the number 1 method Hedge Funds use to beat the market:

Time Series Momentum

This is how: 🧵 Image
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! Image
2. The Data Behind the Strategy

The TSMOM paper analyzed equities, currencies & more. T-stats showed consistent profits across 1-month lookbacks! Image
Read 9 tweets
Quant Science Profile picture
Aug 8
Look at this guy.

He achieved zero losing years over 3 decades.

He delivered over 30% yearly returns by defying conventional wisdom.

Discover 7 key strategies that cemented his iconic status:
(No. 7 is sheer genius) 🧵 Image
This is Stanley Drukenmiller:

• Made $1B shorting the pound
• 30% CAGR over 30 years
• 0 losing years

Here's the Drukenmiller algorithm: Image
1. Exit losers quickly. Go all-in on winners.

While many spread their bets thin, Druckenmiller focuses intensely.

With a strong belief, he amplifies positions.

If mistaken? He bails without hesitation.

He commits to opportunities, not attachments.
Read 14 tweets
Quant Science Profile picture
Aug 4
Stock Prediction AI: Using Machine Learning and Deep Learning to predict stock price movements in Python.

The Python code is 100% free on GitHub.

Let's dive in (bookmark this): Image
1. The Python Machine Learning and Deep Learning Libraries:

- mxnet
- gluon
- sklearn
- xgboost Image
2. Stock Price Data (Train/Test)

The dashed vertical line represents the separation between training and test data.

GS is shown but will use 72 assets.

Daily prices for each asset. Image
Read 9 tweets
Quant Science Profile picture
Aug 2
7 small steps to start with algorithmic trading:

1. Start with Python
2. Learn to use VSCode
3. Take a pandas tutorial
4. Then a plotly tutorial
5. Make a portfolio with riskfolio
6. Make a backtest with vectorbt
7. Analyze performance with vectorbt

You can do this! Image
🚨 Python Algo Trading Workshop on Thursday: 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: learn.quantscience.io/become-a-pro-q…Image
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
Read 4 tweets

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