




Stock Market Trading Systems
A long-term experimental approach to Nasdaq/NYSE stock market trading.
Designed around Engineering indicator response and data analysis techniques.
Fully automated algorithms in Excel for simultaneous trading and evaluation.
Key Learnings
These are just some of the observations from trading using SMTP, more will be added as they become apparent.
-
"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.
-
"Better to be wrong-and-quick than slow-and-right when identifying sector trends."
-
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.
-
The success of an algorithm is dependent on not which stock is bought, but on when a stock is bought (and sold).