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#Programming #Python #stockmarket #tradingstrategy
Learn how to build a simple trading strategy in Python using real S&P 500 data!
In this beginner‑friendly tutorial, we load SPY price data, calculate a 50‑day moving average, generate buy/sell signals, and compare our strategy directly against a buy‑and‑hold approach.
You’ll learn how to:
1.Import and clean financial data
2.Set the date as the index
3.Calculate moving averages
4.Create trading signals
5.Plot cumulative returns
6.Compare strategy vs. buy & hold
This is the perfect place to start if you want to turn raw market data into a working trading model.
📊 Code + Dataset: Available on Patreon
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Disclaimer: The material in this video is purely for educational purposes and should not be taken as professional investment advice. Invest at your own discretion.
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📚Helpful Python Programming Books📚
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► Hands-On Machine Learning with Scikit-Learn and TensorFlow:
► Learning Python:
►Head First Python:
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📚Helpful Financial Books📚
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🌟Stock Market Investing Books:
✔️The Bogleheads' Guide to Investing
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2026/03/18
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