Michael Harris – Trading Books

About Books:In this package, you’ll receive the download links of following books:15 Lies About Trading and InvestingFooled By Technical Analysis15 Lies About Trading and Investing – Table of ContentsPrefaceLie 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 HFTLie 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-miningPART I – Basic ConceptsChapter 1. Levels of Technical AnalysisLevel I Naive chart analysisLevel II Expert chart analysisLevel III Naive quant analysisLevel IV Expert quant analysisChapter 2. Trading ExpectationThe need for large trade samplesThe trading system inversion paradoxChapter 3. Risk of Ruin and Trading Capital RequirementsRisk of ruin due to undercapitalizationRisk of ruin and win rate.Low win rate impact on trend-following system performanceDetermining initial capital requirements Chapter 4. Trading Timeframes and the Impact of Trading FrictionTrading TimeframesTrading StylesTrading methodsThe Negative-Sum Game of Futures and Forex TradingDaily E-mini tradingIntraday E-mini tradingDaily Forex tradingThe impact of a long-term market biasPart II. Fooled by Technical AnalysisChapter 5. Naive and Expert ChartistsFooled by random chart patterns.Use of chart patterns defies logic.Chart patterns and self-fulfilling propheciesChart Patterns are mostly flukes.Claims of Chartists debunked with simple math.Fooled by random indicator patterns.Indicator patterns and self-fulfilling propheciesIndicators and wishful thinkingChart analysis and cognitive biasesExpert chart analysisChapter 6. Naive and Expert QuantsWhat is Back testingPitfalls of back testingMethods for discovering a trading edge.Fooled by hypothesis testing.Fooled by validation tests.Fooled by Monte Carlo SimulationsExpert quant analysisMinimizing the impact of data-mining biasClassification of trading systemsSelection of systemsData snooping biasMyths about data-mining biasPitfalls of validation methodsQuant discretionary tradingFooled by momentum strategies.Putting it all togetherChapter 7. Position Size Determination MethodsBasic types of trading systemsSystems with stops-lossFooled by optimal methods.Systems without stops-loss.Chapter 8. Alternatives to Technical Analysis and ConclusionTrading the newsSocial media sentiment and trendsEsoteric trading methodsConclusion