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12 Python libraries for free market data everyone should know:
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7 small steps to start with algorithmic trading: 1. Start with Python 2. Learn to use VSCode 3. Take a pandas tutorial 4. Then a plotly tutorial 5. Make a portfolio with riskfolio 6. Make a backtest with vectorbt 7. Analyze performance with vectorbt You can do this! Want to learn how? Register here: learn.quantscience.io/join
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12 Python libraries for free market data everyone should know:
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P.S. - Want to learn Algorithmic Trading Strategies that actually work? I'm hosting a live workshop. Join here: learn.quantscience.io/join
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🚨Want to learn Algorithmic Trading Strategies (that actually work)? On August 13th, we are hosting a free workshop to help you get started with algorithmic trading with Python. Register here (630+ registered): learn.quantscience.io/join
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7 small steps to start with algorithmic trading: 1. Start with Python 2. Learn to use VSCode 3. Take a pandas tutorial 4. Then a plotly tutorial 5. Make a portfolio with riskfolio 6. Make a backtest with vectorbt 7. Analyze performance with vectorbt You can do this! Want to learn how? Register here: learn.quantscience.io/join
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P.S. - Want Algorithmic Trading with Python tutorials every Sunday? Register here to join our Sunday Quant Scientist Newsletter (it's free): learn.quantscience.io/quant-…
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