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\author{lh2018}
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  /Title (technical-analysis-of-financial-markets.pdf)
  /Creator (Cheatography)
  /Author (lh2018)
  /Subject (Technical Analysis of Financial Markets Cheat Sheet)
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    \vspace{-2pt}\large{\bf{\textcolor{DarkBackground}{\textrm{Technical Analysis of Financial Markets Cheat Sheet}}}} \\
    \normalsize{by \textcolor{DarkBackground}{lh2018} via \textcolor{DarkBackground}{\uline{cheatography.com/70804/cs/17949/}}}
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  \mymulticolumn{2}{p{5.377cm}}{\bf\textcolor{white}{Cheatographer}}  \\
  \vspace{-2pt}lh2018 \\
  \uline{cheatography.com/lh2018} \\
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  \mymulticolumn{1}{p{5.377cm}}{\bf\textcolor{white}{Cheat Sheet}}  \\
   \vspace{-2pt}Not Yet Published.\\
   Updated 24th November, 2018.\\
   Page {\thepage} of \pageref{LastPage}.
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\begin{multicols*}{4}

\begin{tabularx}{3.833cm}{X}
\SetRowColor{DarkBackground}
\mymulticolumn{1}{x{3.833cm}}{\bf\textcolor{white}{Module 1}}  \tn
% Row 0
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{3.833cm}}{{\bf{Technical Analysis:}} The process of making prediction about the future by analyzing historical market action. {\bf{Market action:}} includes the 4 primary sources of market data are 1) price, 2) time, 3) volume (or open interest for derivative contracts) and 4) breadth.} \tn 
% Row Count 6 (+ 6)
% Row 1
\SetRowColor{white}
\mymulticolumn{1}{x{3.833cm}}{{\bf{3 Key Assumptions of TA:}} 1. All market influences are discounted (or reflected) in prices. – Focus on price action 2. History repeats itself. – That explains why chart patterns are important 3. Prices move in trends. – information disseminated from informed professionals or insiders to aggr. investors, and then to the general investing public. In addition, technicians claim that processing new information takes time.} \tn 
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% Row 2
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\mymulticolumn{1}{x{3.833cm}}{{\bf{Fundamental vs. Technical -}} {\bf{TA:}} Focuses on market action; Studies the effect; Tool of forecasting and timing {\bf{FA:}} Focuses on economic forces of D/S that influence prices; Studies the cause; Tool for forecasting only {\bf{Both:}} prices acts as a leading indicator of the fundamentals, since assumption 1 is true than TA includes FA.} \tn 
% Row Count 22 (+ 7)
% Row 3
\SetRowColor{white}
\mymulticolumn{1}{x{3.833cm}}{{\bf{Arithmetic Scale}} (Linear Scale) – Show identical distances for identical point/price moves – space between 2 to 4 is the same as 20 and 22 – Problem: 100\% from 2 to 4 but only 10\% return from 20 to 22 (visual distortion) – ok for: short-term charts (\textless{}=1 yr)} \tn 
% Row Count 28 (+ 6)
% Row 4
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\mymulticolumn{1}{x{3.833cm}}{{\bf{Ratio Scale}} (Log Scale) – Show identical distances for identical percentage moves – space between 2 to 4 is the same as 4 and 8 – Application: long-term charts (\textgreater{} 1 yr)} \tn 
% Row Count 32 (+ 4)
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\end{tabularx}
\par\addvspace{1.3em}

\begin{tabularx}{3.833cm}{X}
\SetRowColor{DarkBackground}
\mymulticolumn{1}{x{3.833cm}}{\bf\textcolor{white}{Module 2}}  \tn
% Row 0
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\mymulticolumn{1}{x{3.833cm}}{{\bf{Trend:}} direction of the market action} \tn 
% Row Count 1 (+ 1)
% Row 1
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\mymulticolumn{1}{x{3.833cm}}{{\bf{6 Tenets of Dow Theory:}} 1. The Averages Discount Everything. 2. The Market Has Three Trends. 3. Major Trends Have Three Phases. 4. The Averages Must Confirm Each Other. 5. Volume Must Confirm The Trend. 6. A Trend Is Assumed To Be In Effect Until It Gives Definite Signals That It Has Reversed.} \tn 
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% Row 2
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\mymulticolumn{1}{x{3.833cm}}{{\bf{Trading Rule for Dow:}} When the yield on DJIA falls to 3\% or below =\textgreater{} sell signal (market tops) • When the yield on DJIA increases to 6\% or above =\textgreater{} buy signal (market bottoms)} \tn 
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\begin{tabularx}{3.833cm}{X}
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\mymulticolumn{1}{x{3.833cm}}{\bf\textcolor{white}{Support and Resistance}}  \tn
% Row 0
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\mymulticolumn{1}{x{3.833cm}}{{\bf{Return-Risk Ratio}} = (next resistance – current price)/(current price – next support)} \tn 
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% Row 1
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\mymulticolumn{1}{x{3.833cm}}{Make sure RRR is greater than 3} \tn 
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\mymulticolumn{1}{x{3.833cm}}{buy above a key support} \tn 
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\mymulticolumn{1}{x{3.833cm}}{sell just below a key resistance} \tn 
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\mymulticolumn{1}{x{3.833cm}}{{\bf{Autocorrelation}}: correlation between members of series of observations ordered in time. Math.:Correlation measures the linear relationship between two random variables • -1 ≤ correlation ≤ +1} \tn 
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% Row 5
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\mymulticolumn{1}{x{3.833cm}}{Negative Autocorrelation: for performance means higher risk. for trading means market is ranging, oscillating.} \tn 
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% Row 6
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\mymulticolumn{1}{x{3.833cm}}{{\bf{Rule for breakout:}} Penetrated by more than 3\% and for more than 2 consecutive days} \tn 
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% Row 7
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\mymulticolumn{1}{x{3.833cm}}{{\bf{Tim Fong's 3-Step Price Action Analysis:}} 1. Touching down or up 2. Fighting 3. Departing – Reversing the trend if you win the battle in step 2 – Continuing the trend if you lose the battle in step 2} \tn 
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\begin{tabularx}{3.833cm}{X}
\SetRowColor{DarkBackground}
\mymulticolumn{1}{x{3.833cm}}{\bf\textcolor{white}{Module 3}}  \tn
% Row 0
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\mymulticolumn{1}{x{3.833cm}}{{\bf{Market Order:}} a buy or sell order to be executed by the broker immediately at current market prices. • Limit Order – A limit order is an order to buy a security at no more or sell at no less) than a specific price.} \tn 
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% Row 1
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\mymulticolumn{1}{x{3.833cm}}{{\bf{Stop Order:}} A stop order is an order to buy (or sell) a security once the price of the security has climbed above (or dropped below) a specified stop price. When the specified stop price is reached, the stop order will become a market order.} \tn 
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\mymulticolumn{1}{x{3.833cm}}{{\bf{Trailing Stop Order:}} entered with a stop parameter that creates a moving or trailing activation price – This parameter is entered as a percentage change or actual specific amount of rise (or fall) in the security price – Key advantage of setting a trailing stop sell orders are used to maximize and protect profit as a stock's price rises and limit losses when it's price falls} \tn 
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\mymulticolumn{1}{x{3.833cm}}{{\bf{Reversal pattern}}( reversal in trend is pending):  H\&S tops and bottoms; Double tops and bottoms; Rounded/saucer tops and bottoms; Key reversal day; Island reversal day} \tn 
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\mymulticolumn{1}{x{3.833cm}}{{\bf{Continuation pattern:}} Triangles; Wedges; Flags and Pennants; Broadening Tops; Rectangles} \tn 
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\begin{tabularx}{3.833cm}{X}
\SetRowColor{DarkBackground}
\mymulticolumn{1}{x{3.833cm}}{\bf\textcolor{white}{Module 3 (cont.)}}  \tn
% Row 0
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\mymulticolumn{1}{x{3.833cm}}{{\bf{Pattern Formation and Its Trading Application:}} 1.Classification of reversal vs. continuation pattern; 2. Determination of bullishness or bearishness.; 3. Confirmation of pattern and breakout; 4. Measurement of minimum price objectives} \tn 
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% Row 1
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\mymulticolumn{1}{x{3.833cm}}{{\bf{Bid 1.21 Ask 1.25 Bid Size 5:}} the market is willing to  buy 500 shares at 1.21  and to sell at 1.25} \tn 
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\mymulticolumn{1}{x{3.833cm}}{{\bf{Tops vs. Bottoms:}} 1)The bottom formation usually takes longer to form.; 2)Volume confirmations are generally more important for bottom formation.} \tn 
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% Row 3
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\mymulticolumn{1}{x{3.833cm}}{{\bf{Flag vs. Pennant:}} pennant consolidation is formed by two converging trendlines. volume tends to contract even more during formation of a pennant. both have similar measuring implication, take similar time to develop} \tn 
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\begin{tabularx}{3.833cm}{X}
\SetRowColor{DarkBackground}
\mymulticolumn{1}{x{3.833cm}}{\bf\textcolor{white}{Module 3 (cont. 2)}}  \tn
% Row 0
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\mymulticolumn{1}{x{3.833cm}}{{\bf{VIX:}} Measure of the implied volatility of at-the-money S\&P 500 index options with 30-day maturity} \tn 
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\begin{tabularx}{3.833cm}{X}
\SetRowColor{DarkBackground}
\mymulticolumn{1}{x{3.833cm}}{\bf\textcolor{white}{Statistics}}  \tn
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\mymulticolumn{1}{x{3.833cm}}{{\bf{sample mean}}: x\_bar = ( Σ xi ) / n financial interpretation: expected return} \tn 
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% Row 1
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\mymulticolumn{1}{x{3.833cm}}{{\bf{Standard Deviation:}} s = sqrt {[} Σ ( xi – x\_bar )2 / ( n – 1 ) {]} Financial Interpretation: Volatility (Risk or Deviation from the Expectation)} \tn 
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% Row 2
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\mymulticolumn{1}{x{3.833cm}}{{\bf{Skewness:}} Biasedness towards upside potential or downward risk (i.e. positive skewness = long right tail of the return distribution)} \tn 
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% Row 3
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\mymulticolumn{1}{x{3.833cm}}{{\bf{Kurtosis:}} Stability or Surprise Index (Excess Kurtosis \textgreater{} 0 means that it has more peakedness than normal distribution)} \tn 
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% Row 4
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\mymulticolumn{1}{x{3.833cm}}{{\bf{Correlation:}} Effectiveness of hedge (Ex.: USD \& Gold)} \tn 
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\begin{tabularx}{3.833cm}{X}
\SetRowColor{DarkBackground}
\mymulticolumn{1}{x{3.833cm}}{\bf\textcolor{white}{Indicators}}  \tn
% Row 0
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\mymulticolumn{1}{x{3.833cm}}{{\bf{Trend-following Indicators:}} 1) SMA, WMA and EMA; 2) MA Envelopes; 3) Bollinger Bands} \tn 
% Row Count 2 (+ 2)
% Row 1
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\mymulticolumn{1}{x{3.833cm}}{{\bf{Momentum Indicators}} (Oscillators): 1) ROC; 2) RSI; 3) MACD; 4) Stochastic} \tn 
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\begin{tabularx}{3.833cm}{X}
\SetRowColor{DarkBackground}
\mymulticolumn{1}{x{3.833cm}}{\bf\textcolor{white}{Momentum Indicators}}  \tn
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\mymulticolumn{1}{x{3.833cm}}{{\bf{Momentum:}} measures the speed of price change and provides a leading indicator of changes in trend.} \tn 
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% Row 1
\SetRowColor{white}
\mymulticolumn{1}{x{3.833cm}}{{\bf{Momentum signals:}} 1) Zero crossover; 2) Divergence (or trend analysis of momentum vs. price) 3)Extreme values (overbought vs. oversold)} \tn 
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% Row 2
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\mymulticolumn{1}{x{3.833cm}}{A divergence occurs when price and momentum indicator fail to confirm one another.} \tn 
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% Row 3
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\mymulticolumn{1}{x{3.833cm}}{Momentum signals should always be used in conjunction with a trend-reversal signal by the actual price} \tn 
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\begin{tabularx}{3.833cm}{X}
\SetRowColor{DarkBackground}
\mymulticolumn{1}{x{3.833cm}}{\bf\textcolor{white}{Mom. Indic. (cont.)}}  \tn
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\mymulticolumn{1}{x{3.833cm}}{{\bf{ROC}}t =(Pt – Pt-n)/ Pt-n} \tn 
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% Row 1
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\mymulticolumn{1}{x{3.833cm}}{{\bf{ROC}} = {[}(Current Price / Price n periods ago) – 1{]} x 100} \tn 
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% Row 2
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\mymulticolumn{1}{x{3.833cm}}{{\bf{\textasciicircum{}MACD\textasciicircum{}}}t = \textasciicircum{}EMA\textasciicircum{}t, 12 – \textasciicircum{}EMA\textasciicircum{}t, 26} \tn 
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% Row 3
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\mymulticolumn{1}{x{3.833cm}}{{\bf{RSI}} = 100 – 100/(1+RS) where RS = (total gain / n days) / total loss / n days)} \tn 
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\mymulticolumn{1}{x{3.833cm}}{RSI = 0 if falls all days; RSI = 100 if up all days; RSI = 50 if flat} \tn 
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% Row 5
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\mymulticolumn{1}{x{3.833cm}}{RSI {\bf{thresholds}}: – Use 20/80 when the stock is "trending"; – Use 30/70 when "oscillating"} \tn 
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\begin{tabularx}{3.833cm}{X}
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\mymulticolumn{1}{x{3.833cm}}{\bf\textcolor{white}{More Indicators}}  \tn
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\mymulticolumn{1}{x{3.833cm}}{{\bf{DMI}} made of ADX, +DI and -DI} \tn 
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% Row 1
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\mymulticolumn{1}{x{3.833cm}}{ADX \textgreater{} 20 =\textgreater{} trending; • Long when DI+ crosses over DI- • Short when DI+ crosses below DI-} \tn 
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% Row 2
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\mymulticolumn{1}{x{3.833cm}}{{\bf{TR}} = max(Ht - Lt, Ht - Ct-1, Ct-1 – Lt)} \tn 
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% Row 3
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\mymulticolumn{1}{x{3.833cm}}{{\bf{Keltner Channel}} vs. MA envelopes: KC uses ema by definition; ATR is used to calculate the bands for KC} \tn 
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% Row 4
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\mymulticolumn{1}{x{3.833cm}}{{\bf{KC}} made up of 2 bands plotted around an EMA} \tn 
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% That's all folks
\end{multicols*}

\end{document}