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 Process Overview
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Standard risk analysis may not properly predict bear markets. Brutal bear markets like 2008, 2001-03, and 1972-73 are a lot more common than the theorists like to admit. These "100 year events" seem to come along with disturbing frequency. Long-term buy & hold (LTBH) strategies are inherently exposed to these risks.
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Performance analysis tends to cherry pick winners, and ignores survivorship bias. Accounting scandals, over-hyped analyst reccomendations, end-of-trend market plunges will all inevitably occur in the lifetime of an LTBH strategy. The temptation is to hold on to losers in the hope that they turn around.
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Good traders know that opportunistic speculation is a process and that any one single outcome is a data point only.
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SMTP is a trading process that focuses on consistently avoiding catastrophic losses, managing risk, and preserving capital. A good process can be replicated, a random spin of the wheel cannot. This heuristic approach delivers long-term overperformance vs market averages.
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The main algorithms use a short-term trend following strategy designed to maximize return through quick, in-and-out trades and avoidance of market downturns. Stop Losses and Trail Losses are used to minimize impact once a market turns downwards.
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SMTP trades in US markets only, both NYSE and Nasdaq. Long positions only - no margin, options, shorts, CFDs, ETFs. Positions held typically 2-10 days. Maximum of 6 or 12 almost-equal position sizes.
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Stock are chosen from a shortlist spread across 5 sectors (tech, finance, healthcare, energy and materials).
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Output is displayed to potential clients via e-mail and this website, both updated daily.
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