This article will update the mean-reversion strategy that trades stocks in the Russell 1000. Mean-reversion setups and trades come in clusters, such as now. This means we often get periods with
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High-Low Percent is the percentage of stocks making 52-week highs less the percentage of stocks making 52-week lows. The chart below shows High-Low Percent for the S&P 500, Nasdaq 100, S&P MidCap 400 and S&P SmallCap 600. This indicator turns bullish with a move above 10% and bearish with a move below -10%. The first indicator window
This articles covers the indicators and signals for a trend-momentum strategy to trade stock-based ETFs. The Composite Breadth Model defines market conditions. The Trend Composite and eSlope120 are used for trend identification, and Normalized ROC delivers the momentum rank. We show performance metrics for this strategy and provide a signal table.
Even though the Composite Breadth Model is bullish, the market is as split as ever. The Trend Composite is positive for SPY and QQQ, but negative for the S&P 500 EW ETF, S&P MidCap 400 SPDR and Russell 2000 ETF. Within the S&P 500, large-cap techs are leading and keeping SPY afloat. I am wary because
We are making progress. After a big hiccup on Thursday, I reworked the strategy and will cover the basics in this article. Here are some of the changes. First, the strategy trades stocks in the Russell 1000 to capture more beta. Second, I tightened the volatility filter by requiring the standard deviation to be below 50%. Third, I added price,