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@@ -1,16 +1,16 @@
 {
     "author": "Ernest P. Chan",
     "book_title": "Algorithmic Trading: Winning Strategies and Their Rationale",
-    "summary": "In 'Algorithmic Trading: Winning Strategies and Their Rationale', Ernest P. Chan provides a practical guide to algorithmic trading strategies suitable for both retail and institutional traders. The book emphasizes the importance of backtesting and automated execution, offering insights into mean-reversion and momentum strategies. Chan discusses statistical techniques for detecting mean reversion, such as the Augmented Dickey-Fuller test and the Hurst exponent, and explains how to implement these strategies across various asset classes, including stocks, ETFs, currencies, and futures. The author also explores the challenges posed by high-frequency trading and dark pools, while providing a thorough examination of risk management techniques, including the Kelly formula and Monte Carlo simulations. The book aims to demystify algorithmic trading by focusing on simple, linear strategies and addressing common pitfalls that can lead to discrepancies between backtested results and live trading outcomes. Chan's work is grounded in practical experience, making it accessible to traders at all levels who seek to understand the rationale behind successful trading strategies.",
+    "summary": "In 'Algorithmic Trading: Winning Strategies and Their Rationale', Ernest P. Chan provides a practical guide to algorithmic trading strategies suitable for both retail and institutional traders. The book emphasizes the importance of backtesting and automated execution, presenting a range of strategies primarily focused on mean reversion and momentum. Chan discusses statistical techniques for detecting mean reversion, such as the Augmented Dickey-Fuller test and the Hurst exponent, and explains how to implement these strategies across various asset classes, including stocks, ETFs, currencies, and futures. The author also delves into momentum strategies, exploring their drivers and the differences between time series and cross-sectional momentum. Risk management is a critical theme, with Chan advocating for the use of the Kelly formula to optimize leverage and capital allocation. He highlights common pitfalls in algorithmic trading, such as data-snooping bias and survivorship bias, and stresses the importance of understanding the nuances of backtesting and live trading. The book concludes with insights on choosing the right software platforms for trading and the significance of adapting strategies to changing market conditions.",
     "areas": [
         "Backtesting and Automated Execution",
         "Mean Reversion Strategies",
         "Momentum Strategies",
-        "Risk Management Techniques",
-        "Statistical Analysis in Trading",
+        "Risk Management",
+        "Statistical Techniques for Trading",
         "Implementation of Trading Strategies",
-        "Challenges in Algorithmic Trading",
+        "Common Pitfalls in Algorithmic Trading",
         "Software Platforms for Trading",
-        "Common Pitfalls in Algorithmic Trading"
+        "Market Regime Analysis"
     ]
 }