High Probability ETF Trading: 7 Professional Strategies To Improve Your ETF Trading

by Larry Connors and Cesar Alvarez

Quick Summary

This PDF consists of scanned images with minimal extractable text. Based on the title and available metadata, the book presents seven quantitative, backtested trading strategies specifically designed for exchange-traded funds (ETFs), focused on mean-reversion approaches that identify high-probability short-term trading setups using indicators like RSI, moving averages, and price relative to moving averages.

Detailed Summary

The PDF for this book is a scanned document with very limited text extraction capability. Based on the title, publisher context, and Larry Connors's well-known body of work, "High Probability ETF Trading" presents systematic, quantitatively tested short-term trading strategies for ETFs.

Larry Connors is known for his research-driven approach to developing trading strategies, extensively backtesting ideas against historical data before presenting them. His work consistently focuses on mean-reversion strategies -- the tendency of prices to return to their average after deviating from it -- and uses objective, rules-based entry and exit criteria.

The seven strategies likely include variations on short-term RSI pullback trades (buying ETFs when the 2-period RSI drops below specific thresholds during an uptrend, and selling when it rises above certain levels), strategies based on consecutive up or down days, approaches using the relationship between price and various moving averages (such as buying when price falls a certain percentage below a moving average), and potentially strategies based on the VIX or other volatility measures.

Connors's methodology typically involves identifying ETFs trading above their 200-day moving average (establishing the long-term uptrend) and then looking for short-term pullbacks using shorter-term indicators to time entries. The strategies emphasize high win rates and short holding periods (typically 1-10 days), and include specific rules for position sizing and risk management.

The book would include detailed backtesting results showing the historical performance of each strategy, including win rates, average gains and losses, maximum drawdowns, and the number of trades generated. This empirical approach is characteristic of Connors's work and distinguishes it from more subjective technical analysis approaches.