Evaluating the Predictive Power of Candlestick Patterns in the Real Estate Financial Market

This study examines the predictive reliability of four candlestick patterns—Bullish Engulfing, Bearish Engulfing, Hammer, and Hanging Man—in the real estate financial market using historical price data from the Vanguard Real Estate ETF (VNQ) from 2008 to 2024. Given real estate’s lower liquidity and slower price adjustments compared to stock markets, bullish patterns were expected to demonstrate higher predictive accuracy, while bearish patterns were anticipated to be less reliable due to the gradual nature of real estate price declines. The results show that the Hammer pattern had the highest accuracy (59.86%), followed by Bullish Engulfing (54.35%), while Bearish Engulfing (42.39%) and Hanging Man (41.56%) exhibited lower reliability. Further analysis segmented by TNX (10-Year Treasury Yield) trends revealed that the Hammer pattern was more effective during declining interest rates, while the Bullish Engulfing pattern performed better when rates were rising. These findings suggest that macroeconomic conditions play a significant role in the reliability of candlestick signals, underscoring the value of tracking interest rate trends. Although candlestick patterns offer some predictive insight, their effectiveness is closely tied to broader economic conditions. Incorporating macroeconomic indicators, such as interest rate trends, alongside technical analysis can enhance accuracy and reliability. These insights can help investors and analysts make better-timed decisions by showing when certain candlestick patterns have a greater reliability. By paying attention to interest rate trends alongside technical signals, the real estate market can be approached with a greater sense of confidence.