FIND AMAZING TRADING STRATEGIES, OR TEST YOUR OWN WITH SIGNALSOLVER
When you are looking for trading strategies for stocks, ETFs and mutual funds, a logical place to start is to know what worked in the past. SignalSolver helps you with that. Type in a stock, ETF or mutual fund symbol and SignalSolver downloads historic price data then backtests it to find buy-sell signals and trading strategies that gave good results. It is quite simple to use and can load monthly, weekly or daily stock price data. The trading strategies it finds are often simple price action based techniques that you won't find elsewhere. But while it is very good at finding exploits based on historic data, profitability moving forward is never guaranteed. Backtesting cannot predict future prices. SignalSolver is an unlocked, digitally signed VBA application wrapped in an unprotected Excel workbook, so you can easily add functionality for your own needs.
SIGNALS POSTED RECENTLY
This is a GILD trading strategy with weekly intervention required. I found algorithms with better returns, but they were less consistent over time and had more parameter sensitivity. I chose this one because of many favorable characteristics:- Buy low, sell high type of algorithm, biased towards buying as befitting an upward trending stock like GILD. […]
This Palo Alto Networks PANW trading strategy would have given a 119% annualized return. Here, I chose to show only the long side of the algorithm because its more impressive than the short side (which only gave 27% annualized return). To appreciate the algorithm more, notice that the efficiency of the algorithm was close to 200%. […]
Algorithm for GOOGL based on monthly OHLC data and requiring monthly setup. Buy signals around 3 times more frequent than sell signals, some overlap (dual signal months shown as white lines). 80% long, 20% short. Algorithm showing flattening out of performance in recent months.GOOGL.M Performance table and strategy description. Showed about 3 times the reward-risk […]
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 […]
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 […]
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 […]
Update 10/19/2016 This strategy has lost around 22% since inception, the underlying stock has gained 48%.
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 […]