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PyQuant News 🐍

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2 years

A Bloomberg Terminal costs $24,000 per year. It's the portal to all the world's financial data. Unaffordable for 99% of us. Reserved for the Wall Street elite to outfox the normal investor. Until now:

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2 years

My PhD professors taught me MATLAB during my master's degree. So I watched 200 YouTube videos to learn Python 96% of them were a complete waste of time. But these 8 taught me more than all my PhD professors combined:

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@pyquantnews

2 years

My master's degree completely failed to teach me Python for quant finance (they taught me MATLAB). So I watched 200 YouTube videos. And the truth is, 96% of them were a complete waste of time. But these 8 taught me more than all my PhD professors combined:

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2 years

Myth: You need a computer science degree to get started with Python. Reality: You need YouTube. Get started with these 7 channels:

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@pyquantnews

2 years

College completely failed to teach me data analysis. So I spent over 10,000 hours learning Python. Then, I picked the 13 best libraries for machine learning and data analysis. But unlike college, these won't cost you $120,000. Here they are for free:

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2 years

A Bloomberg Terminal costs $27,660 per year (raising to $30,000 in 2023). It's the portal to all the world's financial data. Reserved for the Wall Street elite to outfox the normal investor. Unaffordable for 99.9% of us. Until now:

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2 years

Over the past 10 years, I've watched over 250 YouTube videos on quantitative finance. And the truth is, 99% of them were a complete waste of time. But these 8 are worth more than a 4-year degree:

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2 years

Skip the quant finance degree. Dive into 17 code repos that will teach you more than all your professors at school. All without costing you $90,000:

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2 years

Python and Excel: Use them together and you have a potent combination for working with data. Here are the 17 Python libraries to help you unlock the power.

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2 years

College completely failed to teach me data analysis outside Excel. So I spent over 5,000 hours learning Python. Then, I picked the 16 best libraries for machine learning and data analysis. But unlike college, these won't cost you $60,000. Here they are for free:

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2 years

College completely failed to teach me data analysis beyond Excel. So I learned Python and never looked back. Along the way, I picked the best libraries for machine learning and data analysis. But unlike college, these won't cost you $60,000. Here are the 16 best for free:

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2 years

The most-used analytics software of the last 37 years: Excel But Excel on your resume is no longer enough to get a quant job. Because Python is the new Excel. But with 473,000,000 results for "python tutorial", most people struggle to start. The 6 steps get started in 1 day:

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2 years

12 Python libraries for free market data everyone should know:

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2 years

Algorithmic trading is the domain of secretive hedge funds. Python has unlocked these secrets for everyone (even Goldman Sachs has an open source tool). Use the same tools the professionals use. Here's 5 tools to start automating your trading:

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@pyquantnews

2 years

Python and Excel: A potent combination for working with data. Here are the 17 Python libraries to help you unlock the power.

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@pyquantnews

2 years

My Ph.D. professors taught me MATLAB during my master's degree. So I watched 200 YouTube videos to learn Python 96% of them were a complete waste of time. But these 8 taught me more than all my Ph.D. professors combined.

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2 years

Skip the $90,000 computer science degree. Get started with Python with these 8 YouTube channels instead:

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2 years

20 Python libraries for market data everyone should know:

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2 years

With OpenBB. The OpenBB Terminal is a Python-based environment for investment research. There are over 500 functions covering: • ETFs • Forex • Stocks • Crypto • Options • Portfolio • Economy • Mutual funds • Econometrics Strap on your seat belt. Let's dive in:

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@pyquantnews

2 years

A license for a Bloomberg Terminal costs $24,000 per year. OpenBB is free. Get it here:

OpenBB

OpenBB pioneers collaborative open source products that use cutting-edge technology to leverage high quality financial data.

openbb.co

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2 years

Jupyter Notebook is the most powerful tool Python developers have. But most people don’t know the hidden features. Need a quick web app? Or to create REST APIs? Here's the 6 ways to use Jupyter notebook you never knew existed:

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@pyquantnews

1 year

My professors taught me MATLAB during my master's degree. So I studied 76,948 Python code repositories to teach myself Python. 99.9% of them were a complete waste of time. But these 9 are worth more than a $90,000 master's degree:

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2 years

9 trading strategies everyone should know (with Python code):

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2 years

Python training from JPMorgan Published by JPMorgan for business analysts and traders—by the best in the business. Get it all here (for free):

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@pyquantnews

2 years

My rocket scientist professor told me to learn Octave during my master's degree ("it's free MATLAB"). So I watched 197 YouTube videos to learn Python instead. 94.4% of them were a complete waste of time. But these 11 taught me more than all my PhD professors combined:

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1 year

JPMorgan's Python training. Published for business analysts and traders—by the best in the business. Get it all here (for free):

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@pyquantnews

2 years

I love Python. But I wanted something faster. So I built an options pricing library in C and call it from Python. Now I have the same speed as the pros (and you can too). Here's a dead-simple way you can 45x the performance of your Python code with C (code included):

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2 years

Skip the quant finance degree. Dive into 17 code repos that will teach you more than all your professors at school. All without costing you $90,000:

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@pyquantnews

2 years

I spent a good portion of my $90,000 master's degree learning 1 thing: Simulating stock prices. The good news? You don't need a master's degree to build your own stock price simulator in Python. I'm going to show you how step-by-step:

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2 years

In 2012, 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 20 books on options and finished a master’s degree. But what took my game to the next level was Python. Here’s the code I still use today:

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@pyquantnews

2 years

I love Python. But it's slow. So I built an options pricing library in C and call it from Python. Now I can trade like a professional (and you can too). Here's a dead-simple way you can 45x the performance of your Python code with C (code included):

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@pyquantnews

2 years

Algorithmic trading is the domain of secretive hedge funds and banks. Python unlocked these secrets for everyone (even Goldman Sachs has an open-source tool). Use the same tools the professionals use. Here are 17 Python libraries that open the black box:

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@pyquantnews

2 years

Jupyter Notebook is the most powerful tool Python developers have. But most people don’t know the hidden features. Need a quick web app? Or to create REST APIs? Here's the 6 ways to use Jupyter notebook you never knew existed:

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2 years

Paid courses completely failed to teach me how machine learning works. I used to just import scikit-learn and call model. fit. So I spent 6 months studying the most popular models. Here are the 7 resources I used to get ahead:

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@pyquantnews

2 years

Python beginners all face the same 9 problems: Boredom Getting help No clear goal Overwhelmed Uncertain payoff Can't apply tutorials No idea where to start Get the job done with Excel "Not a programmer" mindset If you struggle with any of these, read this thread:

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@pyquantnews

5 months

So true...

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@pyquantnews

1 year

Jupyter Notebook is the most powerful tool Python developers have. But most people don’t know the hidden features. Need a quick web app? Or to create REST APIs? Here are the 6 ways to use Jupyter notebook you never knew existed:

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@pyquantnews

2 years

I've been using pandas since 2011. It's the most important tool for analysts working in Python today. If you're using Python, you need pandas. Here's the 7 tutorials I wish I had when I started:

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2 months

A Python library for options pricing (free on GitHub):

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@pyquantnews

2 months

A free 698-page PDF ebook with everything you need to know about math:

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@pyquantnews

2 years

Jupyter Notebook is the most powerful tool Python developers have. But most people don’t know the hidden features. Need a quick web app? Or to create REST APIs? Here's the 6 ways to use Jupyter notebook you never knew existed:

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@pyquantnews

2 years

Python beginners all face the same 9 problems: Boredom Getting help No clear goal Overwhelmed Uncertain payoff Can't apply tutorials No idea where to start Get the job done with Excel "Not a programmer" mindset If you struggle with any of these, read this thread:

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@pyquantnews

2 years

Python has unlocked algorithmic trading for all traders and investors. But getting started can feel impossible. PyQuant News has been curating the best quant resources on the internet since 2015 for professionals and beginners alike. Here's 5 you need to read today:

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@pyquantnews

2 years

9 trading strategies everyone should know (with Python code):

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@pyquantnews

1 year

My Ph.D. professors taught me MATLAB but I couldn't afford the $2,000 license. So I watched 200 YouTube videos to master Python. 96% of them were a complete waste of time. But these 8 helped me save $2,000 (that I lost it in the market instead):

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@pyquantnews

2 years

The net worth of Ray Dalio, founder of Bridgewater Associates: $22,000,000,000 Bridgewater is one of the biggest hedge funds on Earth. How did it get so big? A portfolio strategy 100s of PhDs developed over 10+ years. And now you can use it too.

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@pyquantnews

2 years

My master's degree completely failed to teach me how to test trading strategies. So I spent 40 hours looking for Python backtesting libraries. Then I started using the best ones. But unlike my quant finance degree, these won't cost you $90,000. Here they are for free.

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@pyquantnews

2 years

Algorithmic Trading Using Python (4.5 hours) Learn how to perform algorithmic trading using Python in this complete course. Algorithmic trading means using computers to make investment decisions.

Algorithmic Trading Using Python - Full Course

Learn how to perform algorithmic trading using Python in this complete course. Algorithmic trading means using computers to make investment decisions. Comput...

www.youtube.com

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@pyquantnews

1 year

JPMorgan's Python training. Published for business analysts and traders—by the best in the business. Get the code here (for free):

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PyQuant News 🐍

@pyquantnews

1 year

The harsh truth about being a quant: You have to read a lot. The 4 books every aspiring quant needs on their bookshelf:

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@pyquantnews

14 days

JPMorgan's Python training. Published for business analysts and traders—by the best in the business. Get it all here (for free):

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PyQuant News 🐍

@pyquantnews

2 years

Skip the quant finance degree. Dive into 17 code repos that will teach you more than all your professors at school. All without costing you $90,000:

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@pyquantnews

9 months

The net worth of Jim Simons founder of Renaissance Technologies: $30.7 billion. His quant trading firm generated $100 BILLION in profits for investors. He's returned 66%, per year, for 30 years. The story of the CIA math genius who won the market:

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@pyquantnews

5 months

How a book written in 1910 can teach you calculus in 30 seconds:

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@pyquantnews

2 years

We’re entering a new era of quantitative analysis. Where anyone can get big results with little effort. Want to build an analytics app? Here's 13 Python libraries to get you started now:

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PyQuant News 🐍

@pyquantnews

2 years

8 courses to learn Python for FREE everyone should see:

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PyQuant News 🐍

@pyquantnews

1 month

New to Pandas? Here's a cheat sheet you can download (free):

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PyQuant News 🐍

@pyquantnews

1 year

I read 65 books on quant finance during my master's degree. Most of them were useless. But these 4 are still on my shelf 11 years later:

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PyQuant News 🐍

@pyquantnews

2 years

13 Python libraries for free market data everyone should know:

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PyQuant News 🐍

@pyquantnews

3 months

So true...

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@pyquantnews

1 year

Free code from book: Algorithmic Trading with Python Algorithmic Trading with Python discusses modern quant trading methods in Python with a heavy focus on pandas, numpy, and scikit-learn. Get the code here:

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@pyquantnews

2 years

The 7 must-have books everyone using Python for algorithmic trading needs to know:

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@pyquantnews

1 month

New to Python? Here's a cheat sheet you can download (free):

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PyQuant News 🐍

@pyquantnews

2 years

Things you don’t need to start quant trading: • Complex algorithms • PhD in math • $10,000,000 Things you do need to start quant trading: • A laptop • A broker • Python Keep it simple.

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@pyquantnews

2 years

85 free Python books

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3 months

This website is crazy. I'm building an algorithmic trading roadmap and it gave me a whole study guide.

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@pyquantnews

1 year

During my master's degree, I read 65 books on quant finance. Most of them were useless. But these 4 are still on my shelf 10 years later. And they should be on yours too:

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PyQuant News 🐍

@pyquantnews

2 years

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. Here's the 10 best books on options you can buy (and a surprise at the end):

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@pyquantnews

1 year

All these ChatGPT-4 threads are a joke. The best prompts for generating trading ideas and writing Python aren't 1 sentence. That's like having a Ferrari and driving it at 5 MPH. Here's a 60-second masterclass on how to create prompts like a wizard.

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@pyquantnews

2 years

Quants use principal component analysis to find alpha. Blackrock uses it to manage $100s of billions in factor funds. Northfield uses it to earn $10s of millions selling factors to investors. Here’s how it’s done. In a few lines of Python:

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PyQuant News 🐍

@pyquantnews

2 years

You don’t need a PhD to build a risk parity portfolio. You need Python. Here’s how to do it:

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@pyquantnews

3 months

How a book written in 1910 can teach you calculus in 30 seconds:

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@pyquantnews

26 days

159 page PDF download. The best examples of how machine learning is used in finance. Grab the paper here:

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@pyquantnews

2 years

Google "python tutorial" and you get 473,000,000 results. Useless. Most people are paralyzed by inaction because they don't know which tutorial to pick. This one is a good start.

Learn Python - Full Course for Beginners [Tutorial]

This course will give you a full introduction into all of the core concepts in python. Follow along with the videos and you'll be a python programmer in no t...

www.youtube.com

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@pyquantnews

2 years

In case you're unfamiliar: • Over 325,000 people use Bloomberg daily • Used for market data, trading and research • Launched in 1981 by billionaire Michael Bloomberg It's a modern icon of financial markets. So, how can you compete?

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@pyquantnews

2 years

When learning Python, have a clear goal in mind: • Replace Excel • Get a new job • Become a quant • Make more money • Automate daily tasks • Level up your knowledge • Trade stocks and options Knowing where you want to end up, helps to know where to start.

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PyQuant News 🐍

@pyquantnews

3 months

JPMorgan's Python training. Published for business analysts and traders—by the best in the business. Get it all here (for free):

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PyQuant News 🐍

@pyquantnews

2 months

Tableau is $800 per year. PyGWalker is $0. It turns your pandas DataFrame into a Tableau dashboard. • Launch from Jupyter Notebook • Tableau-like visualizations • Run in Kaggle and Colab Get the code on GitHub:

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@pyquantnews

2 years

Data tables are great. But nothing beats a pretty picture. The only 12 Python visualization libraries you'll ever need:

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@pyquantnews

2 years

Professional options traders hedge with delta. You don't need a PhD to do it. Or fancy mathematics. But you do need to know the fundamentals of delta. Here's what you need to get started:

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@pyquantnews

2 years

Professional options traders don’t bet that stocks will go up or down. Rookies do that. They look for mispricings in the market. Here’s how to start trading like a pro with GARCH (and avoid the rookie mistakes):

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PyQuant News 🐍

@pyquantnews

2 years

8 great blogs to help you get started using Python for quant finance now. (All with free code.)

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@pyquantnews

5 months

My PhD professors taught me MATLAB during my master's degree. So I watched 200 YouTube videos to learn Python 96% of them were a complete waste of time. But these 8 taught me more than all my PhD professors combined:

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PyQuant News 🐍

@pyquantnews

2 years

Roadmap to becoming a Python developer. (h/t @kamranahmedse )

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PyQuant News 🐍

@pyquantnews

2 years

When learning Python, have a clear goal in mind: • Replace Excel • Get a new job • Become a quant • Make more money • Automate daily tasks • Level up your knowledge • Trade stocks and options Knowing where you want to end up, helps to know where to start.

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@pyquantnews

9 months

I read 69 books about quant finance during my master's degree. Most of them were 100% useless. But these 4 are still on my bookshelf 12 years later:

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@pyquantnews

2 years

Turn $1 into $14,000,000. (You could have if you invested with Jim Simmons in 1988.) The most successful hedge fund ever, trading bots, and the 9 steps to build an automated trading system. The 6 blog posts to read now:

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@pyquantnews

1 year

A Bloomberg Terminal costs $2,500 per month (that's $30,000 per year—the cost of a car) It's the portal to all the world's financial data. Reserved for the Wall Street elite to outfox the normal investor. Unaffordable for 99.9% of us. Until now:

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PyQuant News 🐍

@pyquantnews

2 years

9 must-have Python time series libraries everyone working with data should know:

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@pyquantnews

8 months

Beautiful trading strategy tear sheets in 5 lines of Python. Build your own in 83 seconds:

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@pyquantnews

2 years

Blogs are ok. But nothing beats a good book. The 7 must-have books everyone using Python for algorithmic trading needs to know:

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@pyquantnews

1 year

Nobody taught me how to backtest a trading strategy. So I read all the books, documentation, and blogs. Then, I distilled what I learned into a simple step-by-step guide. But unlike a 300-page book, this won't take you a month to read. Here it is in 2 minutes:

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@pyquantnews

2 years

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:

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@pyquantnews

1 year

ChatGPT is overhyped. That's what I told myself after 2 weeks of failing to use it well. Turns out, I was just a poor prompt writer. But after spending 100 hours with it, I've cracked it. And now, it's my personal research assistant and Python developer. Here's how:

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@pyquantnews

1 month

I'm 42. If you're still in your 20s, read this:

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@pyquantnews

4 months

Free code from the book on GitHub:

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1 year

ChatGPT will never work for trading. That's what I thought 3 weeks ago. Then I spent 35 hours in the GPT-4 rabbit hole. These 6 blogs show you what you can do. And it doesn't take a Ph.D. in prompt engineering:

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@pyquantnews

1 year

10 ways to use machine learning in trading (with the Python library):

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2 years

Algorithmic Trading Using Python (4.5 hours) Learn how to perform algorithmic trading using Python in this complete course. Algorithmic trading means using computers to make investment decisions.

Algorithmic Trading Using Python - Full Course

Learn how to perform algorithmic trading using Python in this complete course. Algorithmic trading means using computers to make investment decisions. Comput...

www.youtube.com

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@pyquantnews

1 year

BloombergGPT A large language model for finance. • Closed source • $5 million to train • Uses 1.3 million GPU hours Enter FinGPT: An open source large language model for finance. • Open source • $300 to train • Uses 80 GPU hours Get the code on GitHub:

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