These Microsoft (MSFT) signals traded as directed would have performed around 3.4 times better than buy-hold with an ROI of 350% for the period 16-Aug-16 to 19-Sep-18 The above trading signals for Microsoft (MSFT) were selected from over a million backtest results for their reward/risk and parameter sensitivity characteristics. Backtests don’t always generate reliable signals […]
These trading signals for MSFT were selected from 1,220,000 backtest results for their reward/risk and parameter sensitivity characteristics. While backtests don’t typically provide reliable signals which can always be counted on moving forward, many swing traders find value in knowing what buy and sell signals would have worked over time. For the 528 week (10.1 […]
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. On Jan-5-2016 this post was corrected for a short-side […]
Update 10/19/2016 This strategy has lost around 22% since inception, the underlying stock has gained 48%.
AAPL signals prove versatile Work on TQQQ, FNGU, NFLX and many others The SignalSolver Sentiment indicator is calculated by aggregating multiple algorithm sentiments. The Sentiment technical indicator has a value between 0% (completely bearish) to 100% (completely bullish). Intuitively, you would think that a 50% threshold would be the best threshold value from which […]
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HistoricalPrices Add-in Help Video contents 0:40 Loading the add-in 1:40 Basic operation 2:30 Symbol by reference 3:17 Changing the range 4:35 Limits on data 5:00 Refresh buttons 7:00 Automatic refresh 7:20 Splits and dividends 8:30 Filtering nulls 9:35 Customizing fields 10:52 Headers 11:11 Multi-symbol table 15:00 UTC Offset 15:30 Date filtering 15:55 PriceOnDate function 17:06 […]
This update covers 26 strategies published 2/10/15 through 9/18/15. For the analysis we measure the results of investing $10K in each strategy on the day of publication. 17 of the strategies made a loss over the entire period, however 5 of these were strategies that broke down after showing a profit. Overall Results vs HoldTotal […]