PyQuant News 🐍
Where finance practitioners get started with Python for quant finance, algorithmic trading, and data analysis | Tweets & threads with free Python code & tools.
عرض في 𝕏سلاسل التغريدات
$1,000,000,000+ in trading volume. 500,000+ backtests. Every month... 248,000+ quants use QuantConnect for: • Cloud research • Optimization • Backtesting • Live trading All on...
The best 7 non-technical stories about the wild-west of financial markets. https://t.co/0Dvu6hPdY1
3 ways to obtain arbitrage: • Dual Listing Arbitrage • Statistical Arbitrage • Options Arbitrage The problem? Most people don't have the code to learn how they work. Until now:
R.I.P. SQL? The most powerful AI can now query databases. Here’s the step by step guide:
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...
An upside of Python for quant finance automating complex analyses. No tedious manual calculations, no spreadsheets, and no dependency on proprietary software. The downside is th...
WorldQuant's 101 alpha factor library. All are coded in Python. And for some reason all are available for free. Grab the code:
15 coded quant trading strategies. All in Python. All free. Get them here: https://t.co/2A2Xugj3mC
The Quant Scientist starter pack: Math: • Calculus • Linear algebra Stats: • Probability • Time series analysis Python: • pandas • Zipline Reloaded Markets: • Economics • M...
Options let traders bet on market volatility. Straddles are the easiest way to do it. But getting the data to price straddles is a pain. Until now: https://t.co/VVvlDI2VvS
The first time I tried to backtest a pairs trading strategy, I used MATLAB. I lost money again and again. Like most beginners, I was over-optimizing. Very few backtest engines e...
“None of what I’m going to teach you actually works in practice…” …said my interest rate derivatives professor. But one topic I learned became very lucrative: Alpha generation....