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Risk Management for Traders: Position Sizing, Stop Losses, Portfolio Diversification, and Value at Risk with Python and Excel
Paperback
Investing & FinanceProgramming
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Publisher: Independently Published
Pages: 480
Weight: 1.27
Height: 1.19 Width: 6.00 Depth: 9.00
Language: English
Protect your trading capital and make smarter decisions with practical risk management techniques.
In today's volatile markets, effective risk management separates successful traders from those who quickly blow up their accounts. This hands-on guide walks you through the foundational tools every trader needs: position sizing to control exposure, stop losses to limit downside, portfolio diversification strategies to reduce overall risk, and an introduction to Value at Risk (VaR) calculations.
Using clear explanations and real-world examples, you'll learn how to implement these methods in both Python and Excel. Whether you're a beginner looking to build strong habits or an experienced trader refining your approach, these practical frameworks will help you manage uncertainty and trade with greater confidence.
What You'll Find Inside:
- Step-by-step guidance on calculating and applying position sizes
- Techniques for setting effective stop losses
- Diversification methods for building resilient portfolios
- Basic VaR modeling to quantify potential losses
- Ready-to-use code examples in Python and Excel spreadsheets
No prior programming experience required. Focus on building sustainable trading practices that prioritize capital preservation alongside growth.
Ideal for independent traders, quantitative enthusiasts, and anyone serious about long-term success in the markets.
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