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About Books:
In this package, you’ll receive the download links of following books:
15 Lies About Trading and Investing
Fooled By Technical Analysis
15 Lies About Trading and Investing – Table of Contents
Preface
Lie 1: Trends and friends.
Lie 2: The story about losses and profits.
Lie 3: This is the true edge.
Lie 4: They like macro bets.
Lie 5: Market timing bashing.
Lie 6: The victims of HFT
Lie 7: They hate forecasting.
Lie 8: The momentum premium.
Lie 9: Advertising low win rates.
Lie 10: Timing versus hoping.
Lie 11: Statistical analysis conundrum.
Lie 12: No emotions allowed.
Lie 13: Random following works.
Lie 14: Optimality is the key.
Lie 15: Back testing windfall profits.
Fooled by Technical Analysis: The perils of charting, back testing and data-mining
PART I – Basic Concepts
Chapter 1. Levels of Technical Analysis
Level I Naive chart analysis
Level II Expert chart analysis
Level III Naive quant analysis
Level IV Expert quant analysis
Chapter 2. Trading Expectation
The need for large trade samples
The trading system inversion paradox
Chapter 3. Risk of Ruin and Trading Capital Requirements
Risk of ruin due to undercapitalization
Risk of ruin and win rate.
Low win rate impact on trend-following system performance
Determining initial capital requirements
Chapter 4. Trading Timeframes and the Impact of Trading Friction
Trading Timeframes
Trading Styles
Trading methods
The Negative-Sum Game of Futures and Forex Trading
Daily E-mini trading
Intraday E-mini trading
Daily Forex trading
The impact of a long-term market bias
Part II. Fooled by Technical Analysis
Chapter 5. Naive and Expert Chartists
Fooled by random chart patterns.
Use of chart patterns defies logic.
Chart patterns and self-fulfilling prophecies
Chart Patterns are mostly flukes.
Claims of Chartists debunked with simple math.
Fooled by random indicator patterns.
Indicator patterns and self-fulfilling prophecies
Indicators and wishful thinking
Chart analysis and cognitive biases
Expert chart analysis
Chapter 6. Naive and Expert Quants
What is Back testing
Pitfalls of back testing
Methods for discovering a trading edge.
Fooled by hypothesis testing.
Fooled by validation tests.
Fooled by Monte Carlo Simulations
Expert quant analysis
Minimizing the impact of data-mining bias
Classification of trading systems
Selection of systems
Data snooping bias
Myths about data-mining bias
Pitfalls of validation methods
Quant discretionary trading
Fooled by momentum strategies.
Putting it all together
Chapter 7. Position Size Determination Methods
Basic types of trading systems
Systems with stops-loss
Fooled by optimal methods.
Systems without stops-loss.
Chapter 8. Alternatives to Technical Analysis and Conclusion
Trading the news
Social media sentiment and trends
Esoteric trading methods
Conclusion
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