Today’s report will put the Zweig Breadth Thrust indicators for the various indexes to the test. My default breadth index is the S&P 1500 because it covers all bases and represents a broad swath of the US stock market. We can also generate ZBT signals using
The S&P 500 is battling the 200-day SMA with four crosses over the last eleven days. We are also seeing a rise in volatility as this market benchmark plunged 5.86% in nine days (18-27 October) and then surged 5.85% the last five days. With such conditions, it is a good time to step back and look for ways to filter the noise.
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,
This article will dive into trend following. We will start by going over some key assumptions and expectations to consider when implementing a trend-following strategy. What are realistic Win Rates and Profit/Loss ratios? Attention then turns to selecting a timeframe suitable to trend-following. I will then explain 10 trend-following indicators
Sometimes what seems logical and helpful, is not and needs to be reconsidered. This is my conclusion with the sector breadth models. They are logical, and perhaps helpful at times, but they do not add value when it comes to timing trends in the sector SPDRs. A simple StochClose strategy performed better overall. This article will quantify signals for three breadth models using the sector SPDRs.
The turn of the month shows a strong bullish bias with an extremely stable equity curve that really took off the last few years. This strategy, which is only invested 38% of the time, outperformed buy and hold with a higher Compound Annual Return. Overall, the eight day percentage change at the turn of the month is positive 68% of the time for SPY. Despite strong numbers overall, February is weakest month when testing over the last twenty years, and we just happen to be in February.
This article will explore and backtest different moving average combinations on the S&P 500 SPDR over the last twenty years. Most moving average strategies work great when SPY trends, regardless of the period settings. However, SPY (aka, the market) does not always trend and trends are not uniform. Some are short and fast, while others are long and steady. This means we need moving averages that can best adapt to different environments.
Seasonality is behind price action when it comes to analysis and signals, but monthly seasonal patterns can provide a tailwind to existing trends. This study will look at monthly seasonal patterns for the S&P 500 over the last 30 years with a new twist. In addition to win rate, we will also look at returns and the equity curves.
StochClose is an indicator that quantifies trend direction and trend strength. It also removes volatility from the equation and levels the playing field for stocks and ETFs. As such, it offers a balanced approach to trend identification and relative chart strength. TrendInvestorPro uses this indicator on charts and in the ETF ranking tables. This article will explain the methodology, show chart examples and provide an example of the ranking table.
For the third time in 20 years the stock market fell by more than 30%. As noted in the study of bear markets, the S&P 500 fell around 50% in 2002-2003 and 2008-2009. Folks are calling this a generational opportunity, but this is the third such opportunity in the last 30 years, which covers a generation.