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20 Python libraries for market data everyone should know:
I asked 91.3K people why they struggle getting started with Python: 556 people responded. Top 3: 1. Lost where to even start 2. Overwhelmed with information 3. Confused how to a...
Python, SQL, 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:
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 t...
If you use it right, Twitter is the most powerful information platform in the world. Unfortunately, most people get lost in the noise. Here are 8 threads for Python and quant fin...
Options models are wrong. Implied volatility is not the same over the life of an option. Prove it with volatility surfaces. Here's how to do it in Python (step by step):
7 powerful machine learning techniques everyone should know (with links to Python code):
The inverted yield curve is a reliable predictor of a recession. And itβs inverted now. Use Python to visualize the yield curve over time: https://t.co/2s59mKPtMG
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 wa...
Google "python tutorial" and get 533,000,000 results. Google "quant finance" and get 513,000,000 results. Utterly exhausting. So I took 1,049,000,000 search results, added in 20...
Trying to build an algorithmic trading strategy without a framework is like walking through the jungle without a map. Unfortunately, most beginners get frustrated finding it. Ste...
The 21 cognitive biases that will sabotage your trading (and how to beat them to improve your results):