Stock Market Trading Systems
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A long-term experimental approach to Nasdaq/NYSE stock market trading.
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Designed around Engineering indicator response and data analysis techniques.
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Fully automated algorithms in Excel for simultaneous trading and evaluation.
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Trading Strategy
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Basic strategy is to buy and sell stocks based on market & sector level movements
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Typically results in short-term holding periods.
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Risk is reduced by attempting to be out of the market as a downturn begins.
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At the start of the subsequent recovery, new positions are taken in the strongest sectors
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No attempts are made at prediction, all decisions are reactions to existing market conditions.
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Trades based on a shortlist of 180 stocks only, no other stocks allowed. These are divided into 5 sectors (Tech, Financial, Healthcare, Energy and Materials). Stocks are further sub-divided into their constituent industries.
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Each algorithm allows a maximum number of positions, 6 in the case of Algorithms A & B. Cash is almost-equally divided among these positions.
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It is expected that there will be approximately 160-180 trades over a full year, dependant on market conditions. Duty cycle is less then 50%.
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During market downturns, usually no positions are filled (100% cash). Positions will be re-filled once the trading algorithm identifies an upturn in one or more sectors.
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Buy signals often occur simultaneously across different sectors resulting in natural diversification. Any concentration in one sector will be short lived due to the short-term nature of each trade.
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