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Chapter 7

Ranking-Based Trading: Picking the Winner

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Skill Takeaways: What you will learn in this chapter
  • What is ranking-based trading?
  • How is the ranking process done?
  • How to derive a final trading rank?
  • How to apply technical indicators in ranking?

“Two heads are better than one” this classic saying holds true even in trading. When it comes to technical analysis, multiple indicators offer stronger conviction than relying on just one. Unlike the saying “Too many cooks spoil the broth,” in ranking-based trading, it's more like “the more, the better.” When several indicators align in the same direction, the confidence level in the trade increases significantly. 

One of the daily challenges traders face is selecting the right stock to trade. With a wide universe of stocks, choosing the most promising one can be time-consuming. To simplify this, traders often apply multiple technical indicators to a shortlist or watchlist of stocks. These indicators are then used to rank the stocks based on bullish or bearish signals. 

The method is straightforward: 

  • If more indicators show bullish trends, the stock is considered bullish. 

  • If bearish indicators dominate, it's labeled bearish. 

  • If bullish and bearish indicators are equal, the trend is neutral. 

A simple spreadsheet can be used to organize this data and identify which stocks may be ready for action. 

Process of Ranking 

Ranking starts with defining the universe of stocks you want to analyze your watchlist. Next, select the technical indicators you’ll be using. There’s no hard limit; use as many indicators as your strategy demands. 

Each indicator should then be interpreted for its bias: 

  • If the price is above the 5-period EMA, it's bullish. Below it, bearish. 

  • If the RSI is above 50, it signals bullishness. Below 50 suggests bearishness. 

Once each indicator's bias is defined, the stock gets a preliminary rating: 

  • All bullish biases → Strong Buy 

  • All bearish biases → Strong Sell 

  • Mixed biases → Neutral 

Parameters 

Outcome 

Bias if true 

Outcome 

Bias if false 

EMA’s- 50-Day 

If Price > 50 >100>200 

Bullish 

If Price <50 <100<200 

Bearish 

EMA’s- 100-Day 

If Price > 100>200 

Bullish 

If Price <100<200 

Bearish 

EMA’s- 200-Day 

If Price > 200 

Bullish 

If Price <200 

Bearish 

RSI- 14-period 

If RSI > 60 

Bullish 

If RSI <60 

Bearish 

MACD-12,26,9 

If MACD > Signal line 

Bullish 

If MACD <Signal line 

Bearish 

Stochastics-14,5,3 

If %K>%D  

Bullish 

If %K<%D  

Bearish 

Example: How Ranking Works in Practice 

Imagine a trader is using the following indicators for daily analysis (default parameters): 

  • Exponential Moving Averages (EMA): 50, 100, 200 

  • Relative Strength Index (RSI) 

  • Moving Average Convergence Divergence (MACD) 

  • Stochastic Oscillator 

For a bullish trade, the rules are: 

  • EMA 50 > EMA 100, and EMA 100 > EMA 200 

  • Price must be above the EMA group 

  • RSI, MACD, and Stochastic must all signal bullish 

For a bearish trade, the opposite applies: 

  • EMA 50 < EMA 100, and EMA 100 < EMA 200 

  • Price below EMA group 

  • All indicators must align in bearish direction 

If even one indicator doesn’t confirm the trend, the trade is not taken. 
For instance, if a stock like Tata Steel has conflicting indicator signals, its final rank is left blank, indicating uncertainty. 

Data Table 

Stock Name 

Price 

50EMA 

100EMA 

200EMA 

RSI 

MACD 

MACD Signal 

Stochastic %K 

Stochastic %D 

CG Power and Industrial Solutions  

221.2 

189.42 

182.7 

167.16 

78.2 

7.53 

6.38 

75 

69.37 

Vishnu Chemicals  

1540 

1465.55 

1408.7 

1230.4 

61.76 

6.57 

3.21 

42.95 

31.86 

Bharat Electronics  

268.7 

237.3 

230.51 

217.15 

76.52 

5.94 

2.45 

88.62 

86.55 

Tata Coffee  

224.3 

206.82 

206.41 

202.69 

74.24 

4.87 

3.21 

93.11 

93.41 

Indian Bank 

176.7 

160.25 

157.27 

152.15 

70.43 

5.62 

3.74 

86.44 

82.35 

TVS Motor Company  

879.5 

783.36 

731.51 

684.46 

68.9 

31.45 

31.21 

86.74 

87.35 

HDFC Life Insurance Company  

529.1 

557.73 

570.1 

597.82 

37.74 

-9.86 

-8.11 

9.46 

11.57 

GlaxoSmithKline Pharmaceuticals  

1497.5 

1520.79 

1,543 

1557.7 

44.92 

-4.48 

-4.3 

43.65 

48.59 

Bhansali Engineering Polymers  

107.8 

112.89 

121 

135.48 

44.11 

-0.35 

-0.01 

19.03 

20.96 

Sigachi Industries  

247.7 

268.1 

293 

355.03 

35.54 

-2.74 

-0.85 

7.33 

16.82 

Redington (India)  

121.15 

130.01 

136 

138.89 

40.4 

-1.44 

-0.89 

13.45 

14.44 

Tata Steel 

934.3 

976.39 

1,060 

1118.9 

52.88 

-12.45 

-26.14 

91.81 

82.32 

PI industries 

3061 

2725.5 

2,718 

2748.3 

73.93 

103.42 

73.4 

93.01 

93.3 

 Action Table

Stock Name 

Price 

EMA trend 

RSI Trend 

MACD Trend 

Stochastic Trend 

Final Trend 

CG Power and Industrial Solutions  

221.2 

Bullish 

Bullish 

Bullish 

Bullish 

Bullish 

Vishnu Chemicals  

1540 

Bullish 

Bullish 

Bullish 

Bullish 

Bullish 

Bharat Electronics  

268.7 

Bullish 

Bullish 

Bullish 

Bullish 

Bullish 

Tata Coffee  

224.3 

Bullish 

Bullish 

Bullish 

Bullish 

Bullish 

Indian Bank 

176.7 

Bullish 

Bullish 

Bullish 

Bullish 

Bullish 

TVS Motor Company  

879.5 

Bullish 

Bullish 

Bullish 

Bullish 

Bullish 

HDFC Life Insurance Company  

529.1 

Bearish 

Bearish 

Bearish 

Bearish 

Bearish 

GlaxoSmithKline Pharmaceuticals  

1497.5 

Bearish 

Bearish 

Bearish 

Bearish 

Bearish 

Bhansali Engineering Polymers  

107.8 

Bearish 

Bearish 

Bearish 

Bearish 

Bearish 

Sigachi Industries  

247.7 

Bearish 

Bearish 

Bearish 

Bearish 

Bearish 

Redington (India)  

121.15 

Bearish 

Bearish 

Bearish 

Bearish 

Bearish 

Tata Steel 

934.3 

Bearish 

Bearish 

Bullish 

Bearish 

  

PI industries 

3061 

Bearish 

Bullish 

Bullish 

Bearish 

  

 Some traders may assign numerical values to each indicator to calculate a cumulative rank. While this method varies, the goal is the same: Identify trending stocks using a systematic approach. 

Conclusion 

Ranking-based trading is like highway driving smooth, fast, and free from frequent stops. All indicators align, offering a clear signal to move ahead. In contrast, traditional discretionary trading feels like driving through a congested city: full of speed bumps, signals, and distractions that interrupt the flow. 

This example provides a simple illustration of the ranking concept. Traders are free to add more indicators, adjust parameters, or even create custom rules to suit their individual trading styles. The ultimate aim is to enhance decision-making using structured, bias-confirming techniques. 

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