EXCEL TOOLS

Excel based tools for investors

SIGNALS FOR TRADERS

Trading signals revealed

MSFT Trading Strategy (Daily)

Here is a strategy that worked on MSFT for the last 2 years. It gave returns around five times better than buy-hold, a total return of 360% vs. 70% for buy-hold. Drawdown was 10.6% vs. 17.9% for buy-hold. Backtest results are shown in the graphs below. MSFT daily trading strategy MSFT daily trading strategy, performance […]

SPY Trading Strategy (Weekly)

Shows the results of backtesting a trading strategy for the stock SPY (SPDR S&P 500 ETF) over the 10 year period 1/18/05 to 2/23/15. This was a weekly strategy meaning that it needed setting up once a week, and it traded once a week or less. I chose this strategy because it gave the best […]

MU Trading Strategy (Monthly)

Micron Technologies monthly trading strategy, 46% Annualized Return, 25 yearsPlease note, this post was edited Jan 6th 2016 to correct an error in the short-side calculations. The original post showed an annualized return of 57%, which was erroneous. Below are shown the corrected results for this algorithm. Micron Technology (MU) trading strategy base on monthly […]

LRN Trading Strategy (Weekly)

K12 Inc (LRN) Update 12/27/2015 The above plots have been corrected for an error in the short side calculations. Below are updated equity curves and tables up until Dec 2015. The algorithm lost 13.6% over this time. The underlying stock dropped by 37.2%. Update 10/19/2016 Since first publication in Feb 2015, this strategy has outperformed […]

Disclaimers: SignalSolver can reveal signals which have shown extremely high returns, but this is a somewhat misleading feature of backtesting--such returns are un-realizable in practice as history does not repeat itself exactly. Plus, the results are highly optimized. In actuality, the algorithms found are often short-lived and can lead to losses. Views expressed on this site belong solely to the author(s). Past performance of any algorithm doesn’t guarantee future results. The website is not intended in any way to be a source of financial advice, results presented are believed to be accurate but are for information purposes only. The author is not a professional investment advisor.