Should we Keep Paying Attention to Trend Signals after Whipsaws? (Free)

The S&P 500 SPDR (SPY) is a period of big swings and above average volatility. There were six swings of at least 10% from late January to early February 2023. Looking at other 12-14 month periods, this

Stocks went on a tear from late December to early February with the S&P 500 SPDR (SPY) advancing some 11% from low to high. SPY then pulled back last week with

The S&P 500 has been trending lower since the peak in January 2022, but this decline could be a long correction after a massive advance. The pattern taking shape and

The stock market has a long-term bullish bias and the monthly return metrics reflect this positive bias. Chartists looking for a seasonal edge can compare benchmark metrics with the monthly performance numbers.

Trevor Lawrence put in a performance for the ages in the AFC Wild Card game on Saturday. Chapeaux! Lawrence started the game with four interceptions in the first half, but kept on throwing

The S&P 500 SPDR (SPY) surged from mid October to early December, but this advance was considered a counter-trend bounce within a bigger downtrend. In fact, the S&P 500 SPDR (SPY) reversed

The S&P 500 crossed its 200-day SMA for the 173rd time since 2000 and the performance for this “signal” is not that great. Buying and selling the 200-day cross produced a lower return than buy and hold. This cross, however

2022 has been a tough market for trend-followers, but swing traders have been able to catch a few rides. Trend-followers are suffering because whipsaws are above average this year. A whipsaw occurs when an uptrend cannot extend after a bullish trend signal and the trade results in a loss.
Before looking at some trend-following stats,

Stocks surged this week with the S&P 500 SPDR (SPY) advancing over 5% and nearing its falling 200-day SMA. The big trend is still down because SPY recorded a 52-week low a month ago and a lower low

The S&P 500 moved to a new low from June to October, but copper held up better with a higher low and broke short-term resistance with an outsized move this week. A breakout with an outsized move shows above-average strength and it looks like the downtrend in copper is reversing.

The seasonal patterns for October and yearend are quite positive, but seasonality is just one aspect of broad market analysis and the weight of the evidence remains bearish.

The pickings are extremely thin in the markets because the vast majority of groups are in downtrends. TrendInvestorPro tracks trend signals in 274 ETFs. This list include 170 stock-based ETFs, 18 fixed income ETFs

Technical analysts often scoff at the notion that a 20% decline marks a bear market. However, a look back shows that further losses are certainly possible after a 20% decline. Over the last 25 years, the last two bear markets started with declines in excess of

Despite the bear market environment, a handful of stock-based ETFs were showing leadership with bullish Trend Composite signals. Representatives from dirty energy (XLE), clean energy (TAN) and utilities (XLU) were covered over

The broad market environment remains bearish, but one group stood out in early August and continues to stand out. The Solar Energy ETF (TAN) was featured on August 1st as the Trend Composite turned bullish and clean energy

It has been a rough four weeks for stocks and oil, but the energy-related ETFs held up relatively well and remain in uptrends. The PerfChart below shows performance for SPY, oil, the DB Energy ETF (DBE) and

The short-term trends for the big three are down (SPY, QQQ, IWM) and we are in a bear market. Over the last two weeks, the short-term trend (down) aligned with the long-term trend (down). This is a powerful combination

Traders can improve the odds of success by focusing on ETFs in leading uptrends. TrendInvestorPro identifies such ETFs with a table that shows Trend Composite signals and the 52-week range

The S&P 500 SPDR (SPY) is in the midst of a strong advance since mid July as it became “overbought” on July 20th and remains overbought. Today’s article will show how to measure overbought and oversold levels using StochClose, which is a version of the Stochastic Oscillator that uses closing prices.