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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Key Learnings
These are just some of the observations from trading using SMTP, more will be added as they become apparent.
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"In the short-term, non-diversification outperforms diversification". This contradicts almost all teachings on portfolio management but it stands to reason that major upward moves will be based on 1-3 strong sectors rather than a market-wide advance.
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"Better to be wrong-and-quick than slow-and-right when identifying sector trends."
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Whipsaw actions in flat markets can destroy returns. Also, a quick recovery from a market sell-off (eg Brexit) may not give time for BUY signals to "kick in", leading to short-term underperformance.
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The success of an algorithm is dependent on not which stock is bought, but on when a stock is bought (and sold).