Details

<b>1 Introduction 1</b> <p>Price Projections Within Seasonal Expectations 2</p> <p><b>2 Overview of the Quarter 4</b></p> <p><b>3 January Forecast 7</b></p> <p>January Seasonal Trading Strategy Calendar 7</p> <p>January Top Seasonal Sector Trades 8</p> <p>Short Heating Oil in Early January 9</p> <p>Euro Peaks Against U.S. Dollar 10</p> <p>Wheat Turns to Chaff 11</p> <p>End of January Long S&P 500 Trade 13</p> <p><b>4 February Forecast 14</b></p> <p>February Seasonal Trading Strategy Calendar 14</p> <p>February Top Seasonal Sector Trades 15</p> <p>Bonds Freeze Up In February 16</p> <p>Cold Weather Lifts Heating Oil 17</p> <p>Strength in Soybeans 18</p> <p>Crude Oil Strikes a Winner in February 20</p> <p>Gold’s Shrinking Appeal 21</p> <p>Silver Tarnishes in February 22</p> <p>Sugar’s February Slump 23</p> <p>Natural Gas Surges 25</p> <p><b>5 March Forecast 26</b></p> <p>March Seasonal Trading Strategy Calendar 26</p> <p>March Top Seasonal Sector Trades 27</p> <p>Cocoa Peaks Before St. Patrick’s Day 28</p> <p>Japanese Yen Dives Against the Dollar 29</p> <p>End-of-Q1 Euro Short 30</p> <p>British Pound Invasion 31</p> <p><b>6 How We Trade 32</b></p> <p>Seasonal Sector Trade Setups and Executions 32</p> <p><b>7 Markets in Focus 35</b></p> <p>S&P 500 Cycle, Seasonal Pattern, Trading Guide & Data 35</p> <p>30-Year Treasury Bond Cycle, Seasonal Pattern, Trading Guide & Data 38</p> <p>Crude Oil Cycle, Seasonal Pattern, Trading Guide & Data 41</p> <p>Natural Gas Cycle, Seasonal Pattern, Trading Guide & Data 44</p> <p>Heating Oil Cycle, Seasonal Pattern, Trading Guide & Data 46</p> <p>Copper Cycle, Seasonal Pattern, Trading Guide & Data 49</p> <p>Gold Cycle, Seasonal Pattern, Trading Guide & Data 52</p> <p>Silver Cycle, Seasonal Pattern, Trading Guide & Data 55</p> <p>Corn Cycle, Seasonal Pattern, Trading Guide & Data 58</p> <p>Soybeans Cycle, Seasonal Pattern, Trading Guide & Data 61</p> <p>Wheat Cycle, Seasonal Pattern, Trading Guide & Data 64</p> <p>Cocoa Cycle, Seasonal Pattern, Trading Guide & Data 67</p> <p>Coffee Cycle, Seasonal Pattern, Trading Guide & Data 70</p> <p>Sugar Cycle, Seasonal Pattern, Trading Guide & Data 73</p> <p>Live Cattle Cycle, Seasonal Pattern, Trading Guide & Data 76</p> <p>Lean Hogs Cycle, Seasonal Pattern, Trading Guide & Data 79</p> <p>British Pound Cycle, Seasonal Pattern, Trading Guide & Data 82</p> <p>Euro Cycle, Seasonal Pattern, Trading Guide & Data 85</p> <p>Swiss Franc Cycle, Seasonal Pattern, Trading Guide & Data 87</p> <p>Japanese Yen Cycle, Seasonal Pattern, Trading Guide & Data 90</p> <p>About the Authors 93</p>

<strong>Jeff Hirsch</strong> is chief market strategist of the Magnet AE Fund, President of the Hirsch Organization and Editor-in-Chief of the <em>Stock Trader's Almanac</em>. He's worked with Stock Trader's Almanac founder Yale Hirsch for over 20 years, taking over in 2001. He appears frequently on CNBC, CNN, Bloomberg, FOX Business, and many other national and international media outlets to discuss market cycles, seasonality, trade patterns and predictions, and historical trends.?He also edits the firm's digital service, Almanac Investor, a subscription product that provides market analysis, investment recommendations, market data, and research tools. <p><strong>John L. Person</strong> is a thirty-two-year veteran of the trading industry, having worked as a floor trader, broker, analyst, and founder of NationalFutures.com, an online education site. He developed the Person Pivots (PPS) and other technical indicators that are on several companies' popular trading platforms, including TDAmeritrade, TradeStation, Open E Cry, NinjaTrader,Tradesignal, and Trade Navigator. Person has taught thousands of traders including members of the largest exchanges, and frequently speaks at industry conferences. He is the author of three nationally and internationally popular trading books as well as three trading courses and a DVD seminar series. Person's latest book, <em>Commodity Trader's Almanac</em>, is the authoritative guide to trading the seasonal aspects of the commodity markets and the correlated ETFs and stocks of those markets.

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