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ABG Analytics
Equity Trading Systems
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Two Technical Scoring Techniques "Traditional" Scoring Technique The traditional interpretations of the common indicators listed above suggest a simple scoring method for summarizing the information contained in them: give a point for an indicator in a bullish position, and subtract a point for a bearish level of an indicator. Clearly, that simple method assigns the same weight to all signals (whether deserved or not) and in this sense is arbitrary. But, if the traditional interpretations of those indicators have any meaning, we should buy stocks whose indicators are all currently bullish, and sell or short those stocks with all indicators in bearish positions. The method described above is sufficient to capture such an investment rule. Starting with 0 points, add a point if: 1) current price is above its 50 day moving average 2) current price is above its 200 day moving average 3) the 50 day moving average is above the 200 day moving average 4) RSI is oversold (less than 30) 5) MACD is greater than 0 6) MACD is above its signal line Subtract a point if: 7) current price is below its 50 day moving average 8) current price is below its 200 day moving average 9) the 50 day moving average is below the 200 day moving average 10) RSI is overbought (greater than 70) 11) MACD is less than 0 12) MACD is below its signal line Clearly, the results of this system would change if other indicators were added to the ones above. The indicators we use here are only a small set of all the indicators we could use, but they are widely used, capture several different aspects of price movement and position, and involve short, medium, and long time frames. A more complicated system, including volume indicators, for example, could be similarly constructed. This "raw" score will vary from -5 to 5, with 5 being the most bullish. For ease of use, that raw score is rescaled to a final score that ranges from 1 to 5 based on the following transformation (-5,-4=1; -3,-2=2; -1,0,1=3; 2,3=4; 4,5=5). This score is provided in the Weekly Technical Status Report. Statistical Scoring Technique Do the bullish conditions really mean a higher likelihood that a stock will go up in the next 20 days? On average, what is the average change in price over the next 20 days if various combinations of the above conditions hold? Which conditions (if any) really matter, and how much do they matter? Are there better ways of combining these indicators? These are the questions that statistical analysis can address. In our statistical analysis, we assign weights to various functions and combinations of those indicators listed above, beyond what was used in the traditional scoring method. (Note: Our trading systems do not use this scoring system directly and use additional criteria). Using many stocks and a long time period, we construct weights based on how well the indicators predict future percent changes in price over the next 10 to 20 days for 100 stocks over 1,000 days of data. This results in a measure of expected return over the next 20 days. That measure is then scored on a 1 to 5 scale, based on the five equally sized groups ranked by the prediction. This scoring system that has the potential of predicting future price changes if past relationships between the technical indicators and future price changes continue to hold to some degree going forward. Actually, this condition must hold for any version of technical analysis to have validity.
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