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Where finance practitioners get started with Python for quant finance, algorithmic trading, and data analysis | Tweets & threads with free Python code & tools.
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Yesterday, 217 people started Getting Started With Python for Quant Finance. In 30 days they will: • Escape from Tutorial Hell • Beat imposter syndrome • Destroy overwhelm And F...
One way to get started with algorithmic trading is buying a $90,000 master's degree. Another way is YouTube. The 7 YouTube videos that will get you up and running today:
What do hedge funds like Jane Street, Man Group, and Goldman Sachs have in common? Internal market price databases. Any serious quant has a database of prices. The good news? I...
The markets are in free fall. The layoffs are vicious. Now is the time to finally learn Python. Getting Started With Python for Quant Finance is a course and community that gets...
(YouTube) Algorithmic Trading Using Python Build 3 quant trading strategies in Python with this 4.5 hour YouTube video: • S&P500 replication • Momentum strategy • Value stock scr...
A Rapid Fire Intro to Google Colab In 15 minutes, code a result that would have taken a busload of PhDs hours and hours to produce a few years ago. https://t.co/feGHeubzKu
My first options trade lost $9,000. 12 months later I was making $1,100 per week trading in my free time. What changed? I read dozens of books and finished a master's degree. H...
You don’t need a PhD to build a risk parity portfolio. You need Python. Here’s how to do it:
Not all risk is created equal. Upside volatility is a benefit. Downside volatility costs you money. The Sortino ratio captures the volatility of downside returns. Here’s how to...
Want to get started with Python for quant finance? Set up your own custom quant lab. Start with these 14 (free) Python libraries:
Not all risk is created equal. Upside volatility makes you money. Downside volatility costs you money. The Sortino ratio captures the volatility of downside returns. Here’s how...
8 trading and backtesting libraries in Python that will help you find your edge: