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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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4 hacks to get started with Python • Work on things you can use in real life • Find a support group to give you help • Build in Public to stay accountable • Write a little bit of...
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 are 13 Python libraries to get you s...
The best way to blow up your trading account: • Trade the same strategy as someone else? • Use simple entry and exit rules? • Trade with the trend? No, no, and no. It’s trading...
The WORST thing you can do: Start yet another tutorial. Tic-Tac-Toe? A Fibonacci sequence? "Hello World?" No thanks. Save time. Learn Python you can use. Get started in 30 days...
ChatGPT wrote this backtesting algorithm 🤯 No... ChatGPT is not going to replace you. But the people who understand how to leverage this technology will. They're going to: • G...
Most backtesting frameworks don’t reflect reality. So, you waste time rebuilding strategies in a “production-ready” framework. Or worse, lose money when your strategy starts trad...
ChatGPT is moving fast. No: I can't write trading algorithms for you. But it can explain errors, talk to you, and write emails. 11 ChatGPT repos you can use today to supercharg...
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....
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 strate...
Non-professional traders need a way to measure risk. The problem? Most people don’t know where to start. Use Python to measure risk like the pros with CVaR: ↓
The 11 most popular Python libraries for data analysis (according to ChatGPT using GPT-4):
99% of beginners get backtesting wrong: Build backtest, get poor results. Tweak backtest, get positive results. Then they wonder why they lose money. Here's the dead-simple fram...