Algorithmic Trading: A Practical Guide to Building and Trading Systematic Strategies (Techniques for Traders to Quickly and Efficiently Develop Better Algorithmic Trading Systems)
eBook - ePub

Algorithmic Trading: A Practical Guide to Building and Trading Systematic Strategies (Techniques for Traders to Quickly and Efficiently Develop Better Algorithmic Trading Systems)

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Algorithmic Trading: A Practical Guide to Building and Trading Systematic Strategies (Techniques for Traders to Quickly and Efficiently Develop Better Algorithmic Trading Systems)

About this book

Algorithmic trading is not about complex mathematics or black-box magic; it is about defining a clear edge and executing it with flawless consistency. When you remove human emotion from the equation and rely on objective data, you stop gambling on market noise and start operating like a business. This book demystifies the world of automated trading, guiding you through the process of turning simple logic into robust, profitable systems using the accessible tools available on tradingview. You'll discover: •How to spot common mistakes new algo traders make—and avoid the "optimization trap" •A bar size study across 40 futures markets that reveals which timeframes actually work •Mean reversion approaches that consistently outperform others •Risk-protection methods to harden your strategies against drawdowns •When bull/bear regime filters add real value (and when they don't) •Exit strategies that maximize reward-to-risk without killing profitability •Real-world studies on profitable closes, reward ratios, and more Build your first trading strategies step by step (moving averages, momentum, rsi mean reversion). Backtest your ideas in spreadsheets and tradingview, with clear examples you can follow. Understand key performance metrics like sharpe ratio, volatility, and drawdowns—so you know what works. Connect to brokers and automate execution using alerts, apis, and no-code bridges. Combine multiple strategies into a diversified algo portfolio that's built for long-term consistency.

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Information

Year
2026
eBook ISBN
9798902162575

Table of contents

  1. CHAPTER 1: ALGORITHMIC TRADING
  2. CHAPTER 2: BENEFITS AND ADVANTAGES OF ALGORITHMIC TRADING
  3. CHAPTER 3: HOW TO SELECT THE RIGHT ALGORITHMIC TRADING SOFTWARE
  4. CHAPTER 4: TOOLS USED FOR ALGORITHMIC TRADING
  5. CHAPTER 5: TREND STRATEGIES
  6. CHAPTER 6: SKILLS NEEDED
  7. CHAPTER 7: PYTHON
  8. CHAPTER 8: VARIABLES AND TYPES OF DATA
  9. CHAPTER 9: CONDITIONAL STATEMENTS
  10. CHAPTER 10: DATA STRUCTURES
  11. CHAPTER 11: WORKING WITH FUNCTIONS
  12. CHAPTER 12: HOW TO DEVELOP AN ALGORITHMIC TRADING STRATEGY
  13. CHAPTER 13: CREATING A BOT USING PYTHON
  14. CHAPTER 14: DEVELOPING A MOVING AVERAGE ALGORITHM IN PYTHON
  15. CHAPTER 15: WHAT IS BACKTESTING?
  16. CHAPTER 16: BACKTESTING STRATEGIES
  17. CHAPTER 17: BACKTESTING YOUR STRATEGY USING PYTHON
  18. YOUR FREE GIFT

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Yes, you can access Algorithmic Trading: A Practical Guide to Building and Trading Systematic Strategies (Techniques for Traders to Quickly and Efficiently Develop Better Algorithmic Trading Systems) by Thomas Roling in PDF and/or ePUB format, as well as other popular books in Computer Science & Investments & Securities. We have over 1.5 million books available in our catalogue for you to explore.