Mastering the Stock Market: High Probability Market Timing and Stock Selection Tools
Book information
Description
The economy and stock market are heavily influenced by seasonal factors. For example, a strong holiday buying season tends to be bullish for retail stocks or rising energy costs hurt airline profitability. Awareness of seasonal trends in both the economy and stock market can put you in a better position to profit from sectors and stocks that are likely to outperform the overall market. And technical tools can then be used to confirm emerging trends and time entries into these stocks and sectors. Mastering the Stock Market provides authoritative insights into a method for trading stocks based on seasonal trends, sector analysis, and market timing. Taking a top-down approach, the book explains how seasonal supply/demand forces impact commodities and different sectors of the stock market. After learning how to identify stock market sectors and commodity ETFs that are ripe for a big move, you'll quickly discover how to use technical analysis to gauge the strength of the sector or commodity and then identify the strongest stocks and ETFs to trade. Along the way, you'll also learn how to use the author's own indicators, Persons Pivots, to identify support/resistance areas and pinpoint optimal entry and exit points. Outlines a proven technical approach for trading stocks based on seasonal trends, sector analysis, and market timing Breaks new ground in comparative relative strength, trading volume, breadth indicators, and utilizing pivot analysis in conjunction with options expiration days to identify trading opportunities Written by noted technical analyst John L. Person To successfully trade today's markets you need to use a proven approach and have the discipline to effectively implement it. Mastering the Stock Market has what you need to achieve these goals and capture consistent profits along the way. Mastering the Stock Market Contents Foreword Introduction Chapter 1 Stock Indexes and Sectors Stock‐Picking Quandary Exchange‐Traded Funds Inverse ETFs Leveraged ETFs Inverse Leveraged ETFs The Options Market Why Use Seasonal Analysis? Chapter 2 Seasonal Analysis Pondering the Perks Not All ETFs Are Measured Equally Commodity ETFs Precious Metals Commodity Markets Currencies Conclusion Chapter 3 Sentiment Analysis The AAII Sentiment Survey COT Data Insider Trading Information COT Data Components Can Traders Benefit and Make Money from This Information? How Can This Information Possibly Be of Any Help to Us? Compelling Evidence Conclusion: COT Option Strategy Bullish Bearish Chapter 4 Comparative Relative Strength What is it used for? Creating the Charts Spread Terminology Automating Signals Comparing Market Performance Conclusion Chapter 5 Breadth Studies Trend‐Line Analysis Bearish Divergence Signals Bullish Convergence Signals Support and Resistance Indicators and Moving Averages Avoiding Whipsaws Advance‐Decline Indicators Arms Index Conclusion Chapter 6 Volume Analysis Hindsight is 20/20 Current Event Analysis Individual Stocks Bearish Divergence Bullish Convergence Selling Climax Exhaustion Tops Trading Patterns Wedges Inverted Head‐and‐Shoulders Time‐of‐Day Patterns Volume and High‐Frequency Traders Volume Weighted Average Price Chapter 7 Patterns, Indicators, and Oscillators Candlesticks The Doji Reversal Patterns High‐Close Doji (HCD) Low‐Close Doji (LCD) Gaps Patterns Island Gaps Continuation Patterns Wedges, Triangles, and Pennants Bracket Order Strategies Head‐and‐Shoulders Inverted Head‐and‐Shoulders M tops W Bottoms Commodity Channel Index (CCI) Moving Average Convergence‐Divergence (MACD) Stochastics Conclusion: Indicator 101 Chapter 8 Scanning for Profits Scanning the Universe Trade Navigator High‐ and Low‐Close Doji Scans Daily Scan Signals TradeStation Conclusion Chapter 9 Pivot Point Analysis Stock Trader’s Time Frame Person’s Pivots Calculations What About When a Market Is Extremely Bullish or Bearish? Fibonacci Combined with Pivot Points Summary Chapter 10 Putting It All Together : Position Sizing, Trade Entry Techniques, Risk Management, Trailing Stops, and Trade Management Calculating Position Size Profit Targets Stock Replacement Option Strategy Day Trading Position Sizing Average True Range Twice Baked Order Entry Using PPS Snap‐Back Technique Order Types Stop Selection The Exit Expectations Discipline About the Author Index
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