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% Document Info
\author{AlexYao}
\pdfinfo{
  /Title (cs36878.pdf)
  /Creator (Cheatography)
  /Author (AlexYao)
  /Subject (经典量化策略 Cheat Sheet)
}

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\noindent
\begin{multicols}{3}
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    \vspace{-7pt}
    {\parbox{\dimexpr\textwidth-2\fboxsep\relax}{\noindent
        \hspace*{-6pt}\includegraphics[width=5.8cm]{/web/www.cheatography.com/public/images/cheatography_logo.pdf}}
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\begin{tabulary}{11cm}{L}
    \vspace{-2pt}\large{\bf{\textcolor{DarkBackground}{\textrm{经典量化策略 Cheat Sheet}}}} \\
    \normalsize{by \textcolor{DarkBackground}{AlexYao} via \textcolor{DarkBackground}{\uline{cheatography.com/175844/cs/36878/}}}
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  \mymulticolumn{2}{p{5.377cm}}{\bf\textcolor{white}{Cheatographer}}  \\
  \vspace{-2pt}AlexYao \\
  \uline{cheatography.com/alexyao} \\
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  \mymulticolumn{1}{p{5.377cm}}{\bf\textcolor{white}{Cheat Sheet}}  \\
   \vspace{-2pt}Not Yet Published.\\
   Updated 4th February, 2023.\\
   Page {\thepage} of \pageref{LastPage}.
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  Measure your website readability!\\
  www.readability-score.com
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\end{multicols}}




\begin{document}
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\begin{multicols*}{4}

\begin{tabularx}{3.833cm}{x{0.81891 cm} x{1.12221 cm} x{1.09188 cm} }
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\mymulticolumn{3}{x{3.833cm}}{\bf\textcolor{white}{绩效指标}}  \tn
% Row 0
\SetRowColor{LightBackground}
回报率 & Rate of Return, RR & \seqsplit{总体利润比（包含股息）} \tn 
% Row Count 3 (+ 3)
% Row 1
\SetRowColor{white}
\seqsplit{回报波动} & Volatility of Returns, VOL & \seqsplit{RR的方差，衡量风险} \tn 
% Row Count 5 (+ 2)
% Row 2
\SetRowColor{LightBackground}
\seqsplit{最大回撤} & Maximum Drawdown & \seqsplit{利润峰值到谷值的差，衡量风险} \tn 
% Row Count 8 (+ 3)
% Row 3
\SetRowColor{white}
\seqsplit{夏普比率} & Sharpe Ratio, SR & \seqsplit{衡量资产在相同风险下收益率，见夏普1994年修正的公式} \tn 
% Row Count 14 (+ 6)
% Row 4
\SetRowColor{LightBackground}
\seqsplit{信息比率} & Information Ratio, IR & \seqsplit{定义为有效收益除以跟踪误差。它代表了投资者每单位风险增加所获得的额外回报} \tn 
% Row Count 22 (+ 8)
% Row 5
\SetRowColor{white}
\seqsplit{基本面分析与技术分析} & Fundamental Analysis vs Technical Analysis & \seqsplit{做出投资决定的方法分为两大类，前者通过内在价值分析，后者则仅通过去市场交易数据分析} \tn 
% Row Count 31 (+ 9)
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\begin{tabularx}{3.833cm}{x{0.81891 cm} x{1.12221 cm} x{1.09188 cm} }
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\mymulticolumn{3}{x{3.833cm}}{\bf\textcolor{white}{绩效指标 (cont)}}  \tn
% Row 6
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\seqsplit{凯利准则和最佳投注法} & The Kelly Criterion and Optimal Betting & \seqsplit{对于1个单位} \seqsplit{的投资，有概率p获得额外的正回报L，并且有概率1−p获得额外的负回报M。} \seqsplit{进一步假设每项投资的比例} 为 x（0 ≤ x ≤ \seqsplit{1），最大化预期的对数收益率} \tn 
% Row Count 16 (+ 16)
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\begin{tabularx}{3.833cm}{X}
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\mymulticolumn{1}{x{3.833cm}}{\bf\textcolor{white}{\seqsplit{双均线策略（Two-Average} Strategy）}}  \tn
\SetRowColor{white}
\mymulticolumn{1}{x{3.833cm}}{\seqsplit{双均线策略也被称为交叉策略，是主要的移动平均线策略之一。常用的策略是使用两套均线：一套窗口较长，一套较短。当较短的MA向上与较长的MA交叉时，这是一个买入信号，因为它表明趋势正在向上转变。这被称为} "黄金交叉"。 \seqsplit{同时，当短期MA向下与长期MA交叉时，这是一个卖出信号，因为它表明趋势正在向下转移。这被称为} \seqsplit{"死叉/死叉"。常采用的MA计算方法如下：} \newline % Row Count 10 (+ 10)
{\bf{Simple Moving Average (SMA)}} \newline % Row Count 11 (+ 1)
\seqsplit{SMA是移动平均线的最简单形式。} \seqsplit{每个输出值是前N个值的平均值，用于指示一段时间内的价格趋势。} \newline % Row Count 14 (+ 3)
{\bf{Exponential Moving Average (EMA)}} \newline % Row Count 15 (+ 1)
\seqsplit{指数移动平均线（EMA）是金融分析的主要手段，被用于大量的技术指标中。与SMA不同，EMA是一个累积性指标，但过去的数值对平均值的贡献越来越小，而最近的数值则贡献更大。这种方法使移动平均数对数据的变化反应更加灵敏。} \newline % Row Count 22 (+ 7)
{\bf{Adaptive Moving Average (AMA)}} \newline % Row Count 23 (+ 1)
\seqsplit{自适应移动平均线（AMA）增加对价格波动的敏感性。当价格向某个方向移动时，自适应移动平均线会变得更加敏感，而当价格平稳或波动时，自适应移动平均线对价格运动的敏感度会降低。} \newline % Row Count 28 (+ 5)
{\bf{AMA with EMA}} \newline % Row Count 29 (+ 1)
\seqsplit{在AMA中引入新的平滑系数，使其能够体现当前上下趋势，或平缓的价格走势} \newline % Row Count 31 (+ 2)
} \tn 
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\mymulticolumn{1}{x{3.833cm}}{\bf\textcolor{white}{\seqsplit{双均线策略（Two-Average} Strategy） (cont)}}  \tn
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\mymulticolumn{1}{x{3.833cm}}{{\bf{AMA with SMA}} \newline % Row Count 1 (+ 1)
\seqsplit{这个指标出现的主要原因是EMA的AMA已经在业界得到大规模的应用，使其在市场中变得不再明显，使用SMA的版本不那么有名，所以会有作用。} \newline % Row Count 5 (+ 4)
{\bf{问题}} \newline % Row Count 6 (+ 1)
\seqsplit{基于MA的双均线策略在有明显趋势的条件下工作得相当好，但在波动较大的市场环境表现很差，无论为MA选择多大的时间窗口，这种问题都会发生。}% Row Count 10 (+ 4)
} \tn 
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% That's all folks
\end{multicols*}

\end{document}